His Mother

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Bertha Johnson is back with pneumonia again. The ED doctor on the telephone sounded both matter‐of‐fact and mildly bored when I answered her page about another admission to the hospitalist service. I hadn't met Mrs. Johnson previously, but came to know her and Douglas, her only son, well over the next few days.

The Johnsons were facing a difficult choice. Bertha was now bedbound and quadriplegic following a 40‐year battle with multiple sclerosis and gradually mounting disability. She was cognitively intact and had a solid grasp of medical realities, but was hard of hearing and quite dysarthric. Forming even short phrases and sentences took great effort. However tenuous, this ability to speak allowed her to communicate with those she loved. She had been admitted thrice in the past year with aspiration pneumonia, as she was unable to clear her secretions reliably. Repeated bronchoscopies demonstrated an inability to protect her airway. Douglas, who was also her health care proxy, favored proceeding with the tracheostomy suggested by the pulmonary team. On a prior admission, he had been distressed when his mother refused this intervention. Now she was back with the identical problem and had been given the same recommendation by her doctors. It was particularly difficult for me to discuss these sensitive issues when I had not previously met either Bertha or her son. I spoke to her primary care physician over the phone and he agreed with the need for tracheostomy. The pulmonary team had been involved in discussions about tracheostomy in all of her hospital admissions, providing continuity of care in the process. Ultimately, it was my responsibility to help Bertha and Douglas come to a decision.

After multiple discussions between the Johnsons and me, a consensus emerged to proceed with the tracheostomy. We recognized that the procedure would increase her care needs and arranged for a stay in a skilled nursing facility to provide access to round‐the‐clock suctioning. The evening prior to the tracheostomy, the floor nurse and I reviewed the procedure to ensure that Bertha was fully prepared. What followed resulted in a drastic change of plan. Bertha emphasized that she did not want to lose her only means of communication, even if the surgery would prolong her life. She admitted that she reluctantly agreed to the procedure only to please her son and doctors, because they believed it to be in her best interest. Her fear of the prospect of death from drowning in her own secretions was much less than her fear of silence and isolation that would result from her loss of speech. I shared her misgivings with Douglas, and she admitted to him that she had only agreed to the procedure for his sake. We cancelled the surgery.

Douglas later revealed that he also had been ambivalent about the procedure for sometime, as it would necessitate a nursing home stay and the loss of the caretakers who had cared for his mother so wonderfully for many years. Bertha lived alone in her own home with the help of visiting nurses and patient care assistants Douglas paid for out‐of‐pocket. Douglas lived and worked in a city over a hundred miles away, but managed to visit several times a month to facilitate his mother's care. He had supported the procedure only because the doctors had said it was the only way to avoid future pneumonias. The idea of a tracheostomy was definitively abandoned once and for all.

The Johnsons wanted Bertha to return to her home, but hospital case managers felt this would be an unsafe plan of care as she was alone for several hours a day. She was largely immobile and unable to escape if there were a fire or other emergency. Also, the caretakers were not trained to use the suction equipment, and the visiting nurses would only be available intermittently. The home care staff felt they could no longer meet her needs and declined to resume her care. Douglas became very frustrated by the delays and protracted negotiations, enough so that he threatened to sue the institution for taking over my mother's life. The threat of litigation is usually a cry for help that reflects either miscommunication or the suffering of a conflicted family.

As their hospitalist, I hoped to advocate for both the patient and Douglas while coordinating the overall care plan. I had always received consistent responses from the Johnsons, but other staff members noted that Douglas had expressed shifting views on the best site of care for his mother. At Bertha's request, I convened a meeting with her, Douglas, the social worker, case manager, visiting and staff nurses, the palliative care nurse, and floor manager. Prior to this, I met with all involved health care providers to ensure we understood each other's abilities and limitations regarding Bertha's care. As I entered the room for the family meeting, I knew it was ultimately the patient's choice whether she wanted to return home or notas long as she understood the risks involved.

During the meeting, all the team members explained the dilemmas they faced in planning for a safe disposition. Douglas's response illuminated his devotion and love for his ailing mother. He had known all along that it would be less expensive and burdensome for him for Bertha to be placed in a facility. However, he feared nursing home admission represented giving up and failing to fulfill my duty to my mother. Tears ran down the face of this otherwise well composed, immaculately dressed, articulate man in his late forties. He had assumed the responsibility for his mother's care while still a child and had carried this self‐imposed moral burden his entire life. This meeting was his first opportunity to voice explicitly to the medical team his immense love and concern for his dear mother.

I gently probed to clarify Bertha's values and goals. On a brief, prior nursing home stay, Bertha had found the experience to be scary and unfamiliar. However, as her functional abilities continued to decline, her feelings had changed. She now felt lonely and anxious at home when her caretakers were absent. She actually wanted to go to a nursing home, where there would always be company and support available! She had not told Douglas this because she knew he cared for her deeply and she didn't want to hurt his feelings; he seemed committed to caring for her the same way he had for so many years.

In short, Douglas knew it would be easier for him if his mother were in a nursing facility, but assumed she wanted to stay in her home. Oddly, Bertha was only remaining at home because she believed that was what her son wished. A few days later, Bertha was transferred to a nursing home near several relatives who would visit her regularly. Douglas was again selfless in not seeking to move her closer to him. He didn't want to uproot her more than was unavoidable.

Day‐to‐day practice reveals many examples of love and dedication, but I have never seen such blinding and unquestioning commitment as exemplified by this mother‐son duo. From them, I learned the importance of attentive and active listening. Our polite patients may only subtly hint at matters of the deepest import. If we cannot truly hear their unspoken emotions, we risk harming them and misinterpreting their words and actions. Some healthcare providers had seen Douglas as aggressive and demanding with his threat of a lawsuit, whereas Bertha had been described as unrealistic or in denial. These views distorted a much more complex reality. Time and attention to careful communication between the healthcare providers, the patient, and her son bore fruit in this case. The procedure that was really needed was the family meeting and not the tracheostomy! An undesired and invasive procedure was avoided, goals of care were clarified, quality of life maximized, a safe discharge arranged, and a new mutual understanding achieved. I was humbled, and reminded of the importance of team‐based care and the need to approach each patient and family member in a receptive, nonjudgmental, and open manner. Douglas and Bertha Johnson were linked with a profound and abiding bond that would only be severed at death.

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Bertha Johnson is back with pneumonia again. The ED doctor on the telephone sounded both matter‐of‐fact and mildly bored when I answered her page about another admission to the hospitalist service. I hadn't met Mrs. Johnson previously, but came to know her and Douglas, her only son, well over the next few days.

The Johnsons were facing a difficult choice. Bertha was now bedbound and quadriplegic following a 40‐year battle with multiple sclerosis and gradually mounting disability. She was cognitively intact and had a solid grasp of medical realities, but was hard of hearing and quite dysarthric. Forming even short phrases and sentences took great effort. However tenuous, this ability to speak allowed her to communicate with those she loved. She had been admitted thrice in the past year with aspiration pneumonia, as she was unable to clear her secretions reliably. Repeated bronchoscopies demonstrated an inability to protect her airway. Douglas, who was also her health care proxy, favored proceeding with the tracheostomy suggested by the pulmonary team. On a prior admission, he had been distressed when his mother refused this intervention. Now she was back with the identical problem and had been given the same recommendation by her doctors. It was particularly difficult for me to discuss these sensitive issues when I had not previously met either Bertha or her son. I spoke to her primary care physician over the phone and he agreed with the need for tracheostomy. The pulmonary team had been involved in discussions about tracheostomy in all of her hospital admissions, providing continuity of care in the process. Ultimately, it was my responsibility to help Bertha and Douglas come to a decision.

After multiple discussions between the Johnsons and me, a consensus emerged to proceed with the tracheostomy. We recognized that the procedure would increase her care needs and arranged for a stay in a skilled nursing facility to provide access to round‐the‐clock suctioning. The evening prior to the tracheostomy, the floor nurse and I reviewed the procedure to ensure that Bertha was fully prepared. What followed resulted in a drastic change of plan. Bertha emphasized that she did not want to lose her only means of communication, even if the surgery would prolong her life. She admitted that she reluctantly agreed to the procedure only to please her son and doctors, because they believed it to be in her best interest. Her fear of the prospect of death from drowning in her own secretions was much less than her fear of silence and isolation that would result from her loss of speech. I shared her misgivings with Douglas, and she admitted to him that she had only agreed to the procedure for his sake. We cancelled the surgery.

Douglas later revealed that he also had been ambivalent about the procedure for sometime, as it would necessitate a nursing home stay and the loss of the caretakers who had cared for his mother so wonderfully for many years. Bertha lived alone in her own home with the help of visiting nurses and patient care assistants Douglas paid for out‐of‐pocket. Douglas lived and worked in a city over a hundred miles away, but managed to visit several times a month to facilitate his mother's care. He had supported the procedure only because the doctors had said it was the only way to avoid future pneumonias. The idea of a tracheostomy was definitively abandoned once and for all.

The Johnsons wanted Bertha to return to her home, but hospital case managers felt this would be an unsafe plan of care as she was alone for several hours a day. She was largely immobile and unable to escape if there were a fire or other emergency. Also, the caretakers were not trained to use the suction equipment, and the visiting nurses would only be available intermittently. The home care staff felt they could no longer meet her needs and declined to resume her care. Douglas became very frustrated by the delays and protracted negotiations, enough so that he threatened to sue the institution for taking over my mother's life. The threat of litigation is usually a cry for help that reflects either miscommunication or the suffering of a conflicted family.

As their hospitalist, I hoped to advocate for both the patient and Douglas while coordinating the overall care plan. I had always received consistent responses from the Johnsons, but other staff members noted that Douglas had expressed shifting views on the best site of care for his mother. At Bertha's request, I convened a meeting with her, Douglas, the social worker, case manager, visiting and staff nurses, the palliative care nurse, and floor manager. Prior to this, I met with all involved health care providers to ensure we understood each other's abilities and limitations regarding Bertha's care. As I entered the room for the family meeting, I knew it was ultimately the patient's choice whether she wanted to return home or notas long as she understood the risks involved.

During the meeting, all the team members explained the dilemmas they faced in planning for a safe disposition. Douglas's response illuminated his devotion and love for his ailing mother. He had known all along that it would be less expensive and burdensome for him for Bertha to be placed in a facility. However, he feared nursing home admission represented giving up and failing to fulfill my duty to my mother. Tears ran down the face of this otherwise well composed, immaculately dressed, articulate man in his late forties. He had assumed the responsibility for his mother's care while still a child and had carried this self‐imposed moral burden his entire life. This meeting was his first opportunity to voice explicitly to the medical team his immense love and concern for his dear mother.

I gently probed to clarify Bertha's values and goals. On a brief, prior nursing home stay, Bertha had found the experience to be scary and unfamiliar. However, as her functional abilities continued to decline, her feelings had changed. She now felt lonely and anxious at home when her caretakers were absent. She actually wanted to go to a nursing home, where there would always be company and support available! She had not told Douglas this because she knew he cared for her deeply and she didn't want to hurt his feelings; he seemed committed to caring for her the same way he had for so many years.

In short, Douglas knew it would be easier for him if his mother were in a nursing facility, but assumed she wanted to stay in her home. Oddly, Bertha was only remaining at home because she believed that was what her son wished. A few days later, Bertha was transferred to a nursing home near several relatives who would visit her regularly. Douglas was again selfless in not seeking to move her closer to him. He didn't want to uproot her more than was unavoidable.

Day‐to‐day practice reveals many examples of love and dedication, but I have never seen such blinding and unquestioning commitment as exemplified by this mother‐son duo. From them, I learned the importance of attentive and active listening. Our polite patients may only subtly hint at matters of the deepest import. If we cannot truly hear their unspoken emotions, we risk harming them and misinterpreting their words and actions. Some healthcare providers had seen Douglas as aggressive and demanding with his threat of a lawsuit, whereas Bertha had been described as unrealistic or in denial. These views distorted a much more complex reality. Time and attention to careful communication between the healthcare providers, the patient, and her son bore fruit in this case. The procedure that was really needed was the family meeting and not the tracheostomy! An undesired and invasive procedure was avoided, goals of care were clarified, quality of life maximized, a safe discharge arranged, and a new mutual understanding achieved. I was humbled, and reminded of the importance of team‐based care and the need to approach each patient and family member in a receptive, nonjudgmental, and open manner. Douglas and Bertha Johnson were linked with a profound and abiding bond that would only be severed at death.

Bertha Johnson is back with pneumonia again. The ED doctor on the telephone sounded both matter‐of‐fact and mildly bored when I answered her page about another admission to the hospitalist service. I hadn't met Mrs. Johnson previously, but came to know her and Douglas, her only son, well over the next few days.

The Johnsons were facing a difficult choice. Bertha was now bedbound and quadriplegic following a 40‐year battle with multiple sclerosis and gradually mounting disability. She was cognitively intact and had a solid grasp of medical realities, but was hard of hearing and quite dysarthric. Forming even short phrases and sentences took great effort. However tenuous, this ability to speak allowed her to communicate with those she loved. She had been admitted thrice in the past year with aspiration pneumonia, as she was unable to clear her secretions reliably. Repeated bronchoscopies demonstrated an inability to protect her airway. Douglas, who was also her health care proxy, favored proceeding with the tracheostomy suggested by the pulmonary team. On a prior admission, he had been distressed when his mother refused this intervention. Now she was back with the identical problem and had been given the same recommendation by her doctors. It was particularly difficult for me to discuss these sensitive issues when I had not previously met either Bertha or her son. I spoke to her primary care physician over the phone and he agreed with the need for tracheostomy. The pulmonary team had been involved in discussions about tracheostomy in all of her hospital admissions, providing continuity of care in the process. Ultimately, it was my responsibility to help Bertha and Douglas come to a decision.

After multiple discussions between the Johnsons and me, a consensus emerged to proceed with the tracheostomy. We recognized that the procedure would increase her care needs and arranged for a stay in a skilled nursing facility to provide access to round‐the‐clock suctioning. The evening prior to the tracheostomy, the floor nurse and I reviewed the procedure to ensure that Bertha was fully prepared. What followed resulted in a drastic change of plan. Bertha emphasized that she did not want to lose her only means of communication, even if the surgery would prolong her life. She admitted that she reluctantly agreed to the procedure only to please her son and doctors, because they believed it to be in her best interest. Her fear of the prospect of death from drowning in her own secretions was much less than her fear of silence and isolation that would result from her loss of speech. I shared her misgivings with Douglas, and she admitted to him that she had only agreed to the procedure for his sake. We cancelled the surgery.

Douglas later revealed that he also had been ambivalent about the procedure for sometime, as it would necessitate a nursing home stay and the loss of the caretakers who had cared for his mother so wonderfully for many years. Bertha lived alone in her own home with the help of visiting nurses and patient care assistants Douglas paid for out‐of‐pocket. Douglas lived and worked in a city over a hundred miles away, but managed to visit several times a month to facilitate his mother's care. He had supported the procedure only because the doctors had said it was the only way to avoid future pneumonias. The idea of a tracheostomy was definitively abandoned once and for all.

The Johnsons wanted Bertha to return to her home, but hospital case managers felt this would be an unsafe plan of care as she was alone for several hours a day. She was largely immobile and unable to escape if there were a fire or other emergency. Also, the caretakers were not trained to use the suction equipment, and the visiting nurses would only be available intermittently. The home care staff felt they could no longer meet her needs and declined to resume her care. Douglas became very frustrated by the delays and protracted negotiations, enough so that he threatened to sue the institution for taking over my mother's life. The threat of litigation is usually a cry for help that reflects either miscommunication or the suffering of a conflicted family.

As their hospitalist, I hoped to advocate for both the patient and Douglas while coordinating the overall care plan. I had always received consistent responses from the Johnsons, but other staff members noted that Douglas had expressed shifting views on the best site of care for his mother. At Bertha's request, I convened a meeting with her, Douglas, the social worker, case manager, visiting and staff nurses, the palliative care nurse, and floor manager. Prior to this, I met with all involved health care providers to ensure we understood each other's abilities and limitations regarding Bertha's care. As I entered the room for the family meeting, I knew it was ultimately the patient's choice whether she wanted to return home or notas long as she understood the risks involved.

During the meeting, all the team members explained the dilemmas they faced in planning for a safe disposition. Douglas's response illuminated his devotion and love for his ailing mother. He had known all along that it would be less expensive and burdensome for him for Bertha to be placed in a facility. However, he feared nursing home admission represented giving up and failing to fulfill my duty to my mother. Tears ran down the face of this otherwise well composed, immaculately dressed, articulate man in his late forties. He had assumed the responsibility for his mother's care while still a child and had carried this self‐imposed moral burden his entire life. This meeting was his first opportunity to voice explicitly to the medical team his immense love and concern for his dear mother.

I gently probed to clarify Bertha's values and goals. On a brief, prior nursing home stay, Bertha had found the experience to be scary and unfamiliar. However, as her functional abilities continued to decline, her feelings had changed. She now felt lonely and anxious at home when her caretakers were absent. She actually wanted to go to a nursing home, where there would always be company and support available! She had not told Douglas this because she knew he cared for her deeply and she didn't want to hurt his feelings; he seemed committed to caring for her the same way he had for so many years.

In short, Douglas knew it would be easier for him if his mother were in a nursing facility, but assumed she wanted to stay in her home. Oddly, Bertha was only remaining at home because she believed that was what her son wished. A few days later, Bertha was transferred to a nursing home near several relatives who would visit her regularly. Douglas was again selfless in not seeking to move her closer to him. He didn't want to uproot her more than was unavoidable.

Day‐to‐day practice reveals many examples of love and dedication, but I have never seen such blinding and unquestioning commitment as exemplified by this mother‐son duo. From them, I learned the importance of attentive and active listening. Our polite patients may only subtly hint at matters of the deepest import. If we cannot truly hear their unspoken emotions, we risk harming them and misinterpreting their words and actions. Some healthcare providers had seen Douglas as aggressive and demanding with his threat of a lawsuit, whereas Bertha had been described as unrealistic or in denial. These views distorted a much more complex reality. Time and attention to careful communication between the healthcare providers, the patient, and her son bore fruit in this case. The procedure that was really needed was the family meeting and not the tracheostomy! An undesired and invasive procedure was avoided, goals of care were clarified, quality of life maximized, a safe discharge arranged, and a new mutual understanding achieved. I was humbled, and reminded of the importance of team‐based care and the need to approach each patient and family member in a receptive, nonjudgmental, and open manner. Douglas and Bertha Johnson were linked with a profound and abiding bond that would only be severed at death.

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Journal of Hospital Medicine - 6(3)
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Journal of Hospital Medicine - 6(3)
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Mapping Out Diagnosis

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Mapping out the diagnosis

A 19‐year‐old Japanese man was admitted to a hospital near Kyoto, Japan, because of fever and rash. Two weeks prior to admission, he developed mild headache and low‐grade fever; a rapid test for influenza was negative. His symptoms transiently improved with acetaminophen, but 8 days prior to admission, he developed fever to 38.5C and a pruritic maculopapular rash over his back that spread to his limbs. Six days prior to admission, a chest radiograph was clear; clarithromycin was prescribed for presumed upper respiratory infection. He visited the emergency department the day before admission because of continued fever of greater than 39C, fatigue, and headache. Because there was no jolt accentuation of the headache (ie, worsening with rapid horizontal rotation), or neck pain with extreme neck flexion, he was discharged on acetaminophen. He returned the next day with worsening fatigue and was admitted. He denied chills, rigor, weight loss, photosensitivity, sore throat, neck pain, cough, dyspnea, chest pain, nausea, vomiting, diarrhea, abdominal pain, back pain, and arthralgia.

Fever and diffuse rash are often due to infection, although drugs, autoimmune processes, and cancer must be considered. The presence of headache does not focus the differential diagnosis substantially, because many of the candidate diagnoses can be accompanied by meningitis or encephalitis, or even more frequently, nonspecific headaches. In one small study, jolt‐induced aggravation of headache was shown to be a sensitive indicator of cerebrospinal fluid pleocytosis. The absence of neck stiffness and the 2‐week duration makes bacterial meningitis unlikely, but a more indolent form of aseptic meningitis may need to be evaluated with a lumbar puncture.

The 2‐week illness without rapid deterioration makes some serious causes of fever and rash, such as toxic shock syndrome, disseminated meningococcal infection, or toxic epidermal necrolysis unlikely. A viral exanthema is possible, although the 2‐week duration is longer than usual. Given his youth, however, his immunization history should be queried, and acute infection with human immunodeficiency virus (HIV) should be considered. A more indolent infection, such as subacute bacterial endocarditis, disseminated gonococcal infection, or syphilis is plausible. Among autoimmune etiologies, systemic lupus erythematosus (SLE) and Behcet's disease (which is prevalent in Japan) can involve the central nervous system and cause fever. A careful inquiry directed at prescribed, complementary, and illicit drugs is required.

The patient's past medical history was notable only for mumps at the age of 10. His medications included acetaminophen, clarithromycin, and an herbal medicine, which he had been taking for the prior several days. He reported no tobacco or illicit drug use and rarely drank alcohol. He had never been sexually active. He worked in a factory and reported occasional contact with silver. He lived with his parents; there was no family history of tuberculosis or connective tissue diseases. His father was from Kyushu (the southernmost major island in Japan) and had chronic hepatitis C. The patient denied recent animal exposure or recent travel. His childhood vaccinations were said to be up to date.

Mumps at age 10 might signal general lack of immunization, in which case childhood viral exanthema‐like measles (characterized by fever, headache, and diffuse rash) would warrant consideration. The listed medications had been started after the onset of illness and therefore are unlikely to be causal. Silver causes at least 2 skin conditionscontact dermatitis and argyriabut not the systemic illness seen here. Human T lymphotropic virus‐1 (HTLV‐1) is endemic in southern Japan, but only a minority of infected humans are afflicted with associated adult T cell leukemia/lymphoma or myelopathy. Leukemia and lymphoma are the most likely cancers to cause fever, rash, and central nervous system involvement (with T cell disorders demonstrating a particular tropism for the skin). Overall, however, the differential has not changed substantially.

On physical examination, the patient was mildly overweight and appeared acutely ill. His blood pressure was 136/78 mm Hg, pulse rate was 76 and regular, temperature was 39.2C and respiratory rate was 20 with an oxygen saturation of 98% on room air. A diffuse but nonconfluent erythematous maculopapular rash was present over his chest wall, back, medial aspects of both thighs, and around the knees. There was no jolt‐induced headache. His eyes, nose, oral cavity, and throat were all clear. The neck was supple. There were palpable lymph nodes, each about 1 cm in size, which were firm and moderately tender, in his left neck and left axilla. Lungs and heart were normal. The abdomen was soft, nontender, with normal bowel sounds and no hepatosplenomegaly. His genitalia were normal. Rectal examination revealed no masses or tenderness and a scant amount of brown stool that was negative for occult blood. Neurologic examination was unremarkable.

The multifocal lymphadenopathy does not help distinguish among the categories of disease under consideration. The diffuse maculopapular rash is similarly nonspecific, occurring more frequently with infection and drug reaction than malignancy and autoimmunity. Acute HIV, Epstein‐Barr virus (EBV), syphilis, SLE, drug exposure, or a hematologic malignancy would all be suitable explanations for fever, headache, diffuse rash, and disseminated lymphadenopathy in a previously healthy young man.

Laboratory data obtained on admission was notable for a white blood cell (WBC) count of 2100/L with 72% neutrophils, 19% lymphocytes, and 9% monocytes. Hemoglobin was 13.5 mg/dL with a mean corpuscular volume of 85 fL. Platelet count was 136,000/L. Erythrocyte sedimentation rate was 26 mm/hour. Serum chemistries revealed a sodium level of 135 mEq/L, potassium level of 3.6 mEq/L, chloride level of 100 mEq/L, blood urea nitrogen of 9.8 mg/dL, creatinine level of 1.0 mg/dL, glucose level of 101 mg/dL, calcium level of 8.8 mg/dL, albumin of 4.6 mg/dL, total protein of 8.4 mg/dL, aspartate aminotransferase of 42 IU/L (normal < 35 IU/L), alanine aminotransferase of 27 IU/L, total bilirubin of 0.5 mg/dL, and lactate dehydrogenase (LDH) level of 463 IU/L (normal < 260 IU/L). Chest radiography and electrocardiogram were normal.

A mild elevation in LDH is nonspecific, but without hemolysis or infarction of the kidney, lung, or muscle, it suggests a lymphoproliferative process. Leukopenia with thrombocytopenia can be seen in a number of disorders, most commonly infections including viruses (e.g., EBV, HIV, dengue), malaria, Rocky Mountain spotted fever, or ehrlichiosis/anaplasmosis. Confirmation of his lack of travel could help prioritize those considerations. An invasive bone marrow disorder cannot be excluded, although the near‐normal hemoglobin argues against it. Autoimmune cytopenias are seen in SLE. Given his age, lymphadenopathy, LDH elevation, and absence of infectious exposures, lymphoma rises to the top of the list.

Noninvasive measures should include examination of the peripheral smear, HIV testing (including HIV RNA for acute infection), EBV serologies, and tests for syphilis and SLE. Lumbar puncture (for evaluation of aseptic meningitis) and lymph node biopsy would be informative. Skin biopsy may be helpful to evaluate for aggressive T cell lymphoproliferative disorder, but this can await the results of initial testing.

The patient was given intravenous fluids and acetaminophen as needed. Blood cultures, urine culture, cytomegalovirus and EBV serologies, hepatitis B surface antigen, hepatitis C virus antibody, HIV antibody, antinuclear antibody, complement and ferritin levels, and quantiferon‐TB were ordered. The urine was normal and a urinary antigen test for Legionella was negative. Contrast‐enhanced computed tomography scan of the chest and abdomen was normal except for mild splenomegaly and an enlarged left axillary lymph node.

The ferritin may have been ordered to help evaluate for Still's disease, which is characterized by sustained fever, lymphadenopathy, and transient rash; however, the characteristic leukocytosis and arthralgias are absent. The computed tomography findings are most notable for the absence of generalized lymphadenopathy or significant hepatosplenomegaly that is seen in lymphoma, leukemia, and lymphotropic processes such as acute EBV infection. The localization of disease to the skin (where the predominant lymphocytes are of T cell origin) with relatively modest lymphadenopathy suggests a T cell lymphoma, perhaps of an indolent variety. Vertical transmission of HTLV‐1 decades ago would make adult T cell leukemia or lymphoma a major consideration.

On the third hospital day, WBC count was 1800/L with 67% neutrophils, 22% lymphocytes, and 1% atypical lymphocytes; LDH rose to 623 IU/L. He had continued fatigue and high fever while the rash gradually faded with oral antihistamines and steroid ointment. On hospital day 4, bone marrow biopsy and skin biopsy of his left thigh were performed.

The further decline in WBC and rise in LDH are modest and therefore do not significantly modify the differential diagnosis. Likewise, 1% atypical lymphocytosis is too low to pinpoint an etiology. Because unremitting fevers start to extend into their third week without a clear source of infection, the probability of malignancy and autoimmunity rise. Improvement with oral antihistamines and topical steroids frequently suggests an underlying allergic process, but the remainder of the clinical picture is not in keeping with atopy or allergy. Cutaneous lymphomas (eg, mycosis fungoides) can have waxing and waning skin manifestations, and can be temporarily or definitively treated by topical steroids. The persistence of his fatigue is of concern given the absence of anemia, cardiopulmonary involvement, or motor weakness.

Bone marrow biopsy showed normocellular marrow with no abnormal cells and some activated macrophages with hemophagocytic activity. Skin biopsy failed to show specific pathology.

His left cervical lymph nodes gradually enlarged. Ultrasound of the neck showed multiple enlarged lymph nodes (left side dominant) with dimension of 17 mm 9 mm 31 mm. Blood and urine cultures returned negative, as did HIV antibody. cytomegalovirus and EBV serologies were consistent with previous infection and the ferritin level was 578 ng/mL (normal, 39‐340 ng/mL). Toxoplasma serology and HTLV‐1 antibody were ordered.

The absence of malignant cells on bone marrow biopsy does not exclude lymphoma, but makes a myelophthisic cause of the cytopenias less likely. The macrophage hemophagocytosis reflects immune activation, which in turn is usually caused by the same viral infections, autoimmune conditions, and lymphoproliferative disorders which constitute the current differential diagnosis.

Bone marrow and skin biopsies are both subject to sampling error, and detection of cutaneous T cell lymphoma is notoriously difficult. However, taken together, the absence of cancer on 2 specimens reduces that possibility.

Sustained unilateral cervical lymphadenopathy with fever in a young Japanese man without any histologic evidence of lymphoma points to Kikuchi's disease, ie, lymphadenitis of unknown etiology associated with varying degrees of systemic manifestations. Fever is a frequent feature, we believe, but diffuse sustained rash, cytopenias, and headache are less common or are seen in severe forms of the disease. The diagnosis of Kikuchi's requires the diligent exclusion of SLE and lymphoma. Examination of the peripheral smear and a lymph node biopsy are required.

Of note, there is also a localized form of Castleman's disease, a nonmalignant lymphoproliferative disorder, that similarly is characterized by focal lymphadenopathy. In distinction to Kikuchi's, however, localized Castleman's is largely asymptomatic and responds marvelously to excision.

On hospital day 9, an excisional biopsy of his left anterior cervical lymph nodes was performed, which revealed paracortical foci with necrosis and a histiocytic cellular infiltrate consistent with subacute necrotizing lymphadenitis (Kikuchi‐Fujimoto disease). Antinuclear antibody, Toxoplasma, and HTLV‐1 antibodies returned negative.

There is no treatment for Kikuchi's. It is usually self‐limited, but steroids are sometimes given for symptomatic control.

His condition began to improve after hospital day 9 without specific treatment, including his WBC count and LDH level. He was discharged home on hospital day 15. In the outpatient clinic 1 and 3 months later, he was well and active without recurrences of any symptoms or laboratory abnormalities. His WBC count was 6600/L and LDH was 268 IU/L.

Commentary

Kikuchi‐Fujimoto disease (KFD), also called Kikuchi's disease, is a benign histiocytic necrotizing lymphadenitis described by both Kikuchi and Fujimoto in 1972.1, 2 It is rare in the United States, but seems more common in Asia, especially Japan, where at least 143 cases have been reported since 1972. The etiology has not been determined, but a viral causeincluding EBV, and human herpesvirus 6 and 8has been suggested.3 An autoimmune etiology is also implicated because of infrequent association with SLE. In general, young women are most likely to be affected. In a review of 244 cases by Kucukardali and colleagues, 77% of patients were female and the mean age was 25; 70% were younger than 30 years of age.4

The common presentation is low‐grade fever with unilateral cervical lymphadenopathy.4 Although generalized lymphadenopathy can occur, it is rare. Other common clinical manifestations include malaise, joint pain, rash, arthritis, and hepatosplenomegaly. No specific laboratory tests for diagnosis are available, but leukopenia (seen in 43% of patients), increased erythrocyte sedimentation rate (40%), and anemia (23%) may be observed.4 In this case, atypical lymphocytes were seen, and are reported in one‐third of patients.5 KFD is generally diagnosed by lymph node biopsy, which typically shows irregular paracortical areas of coagulation necrosis that can distort the nodal architecture, while different types of histiocytes are observed at the margin of necrotic areas.

Other diseases in the differential diagnosisseveral of which were considered by the discussantinclude lymphoma, tuberculosis, SLE, and even metastatic adenocarcinoma. KFD is self‐limited; symptoms typically resolve within 1 to 4 months. Patients with severe manifestations have been treated with anti‐inflammatory drugs and glucocorticosteroids. A recurrence rate of 3% to 4% has been reported.6

The clinicians taking care of this patient initially focused on ruling out those infections occasionally resulting in prolonged fever in a previously healthy young man, such as viruses from the herpes family, HIV, viral hepatitis, tuberculosis, syphilis, infective endocarditis, and intra‐abdominal abscess. Physical examination, specifically lymphadenopathy and mild splenomegaly, made Herpesviridae infections, tuberculosis, syphilis, and lymphoma difficult to exclude. Once the initial evaluation ruled out common infections, attention focused on malignancy and histiocytic necrotizing lymphadenitis, given his ethnicity and geographic location.

The discussant was similarly concerned about infection, malignancy, and noninfectious inflammatory diseases, such as SLE, as possible causes. As evidence of these treatable diseases failed to accumulate, the discussant, an American physician with teaching and clinical experience in Japan, considered endemic diseases such as Behcet's, HTLV‐1, and KFD because they fit the unfolding pattern. Given our global society, clinicians will increasingly benefit from becoming familiar with the less common diseases that afflict the various populations around the world.

Teaching Points

  • The combination of fever, lymphadenopathy, and leukopenia in young adults suggests SLE, lymphoma, and HIV. Clinicians should also consider KFD in patients from Japan and neighboring countries.

  • Lymph node biopsy is usually diagnostic of KFD, although interpretation of histopathology can be difficult and sometimes leads to confusion with SLE and lymphoma.

  • KFD typically resolves without specific treatment.

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient's case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.

References
  1. Kikuchi M.Lymphadenitis showing focal reticulum cell hyperplasia with nuclear debris and phagocytes: a clinicopathological study.Acta Hematol Jpn.1972;35:379380.
  2. Fujimoto Y,Kozima Y,Yamaguchi K.Cervical subacute necrotizing lymphadenitis: a new clinicopathological agent.Naika.1972;20:920927.
  3. Bosch X,Guilabert A,Miquel R,Campo E.Enigmatic Kikuchi‐Fujimoto disease: a comprehensive review.Am J Clin Pathol.2004;122:141152.
  4. Kucukardali Y,Solmazgul E,Kunter E,Oncul O,Yildirim S,Kaplan M.Kikuchi‐Fujimoto Disease: analysis of 244 cases.Clin Rheumatol.2007;26:5054.
  5. Lin HC,Su CY,Huang CC,Hwang CF,Chein CY.Kikuchi's disease: A review and analysis of 61 cases.Otolaryngol Head Neck Surg.2003;128:650653.
  6. Dorfman RF.Histiocytic necrotizing lymphadenitis of Kikuchi and Fujimoto.Arch Pathol Lab Med.1987;11:10261029.
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Journal of Hospital Medicine - 6(3)
Page Number
167-170
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A 19‐year‐old Japanese man was admitted to a hospital near Kyoto, Japan, because of fever and rash. Two weeks prior to admission, he developed mild headache and low‐grade fever; a rapid test for influenza was negative. His symptoms transiently improved with acetaminophen, but 8 days prior to admission, he developed fever to 38.5C and a pruritic maculopapular rash over his back that spread to his limbs. Six days prior to admission, a chest radiograph was clear; clarithromycin was prescribed for presumed upper respiratory infection. He visited the emergency department the day before admission because of continued fever of greater than 39C, fatigue, and headache. Because there was no jolt accentuation of the headache (ie, worsening with rapid horizontal rotation), or neck pain with extreme neck flexion, he was discharged on acetaminophen. He returned the next day with worsening fatigue and was admitted. He denied chills, rigor, weight loss, photosensitivity, sore throat, neck pain, cough, dyspnea, chest pain, nausea, vomiting, diarrhea, abdominal pain, back pain, and arthralgia.

Fever and diffuse rash are often due to infection, although drugs, autoimmune processes, and cancer must be considered. The presence of headache does not focus the differential diagnosis substantially, because many of the candidate diagnoses can be accompanied by meningitis or encephalitis, or even more frequently, nonspecific headaches. In one small study, jolt‐induced aggravation of headache was shown to be a sensitive indicator of cerebrospinal fluid pleocytosis. The absence of neck stiffness and the 2‐week duration makes bacterial meningitis unlikely, but a more indolent form of aseptic meningitis may need to be evaluated with a lumbar puncture.

The 2‐week illness without rapid deterioration makes some serious causes of fever and rash, such as toxic shock syndrome, disseminated meningococcal infection, or toxic epidermal necrolysis unlikely. A viral exanthema is possible, although the 2‐week duration is longer than usual. Given his youth, however, his immunization history should be queried, and acute infection with human immunodeficiency virus (HIV) should be considered. A more indolent infection, such as subacute bacterial endocarditis, disseminated gonococcal infection, or syphilis is plausible. Among autoimmune etiologies, systemic lupus erythematosus (SLE) and Behcet's disease (which is prevalent in Japan) can involve the central nervous system and cause fever. A careful inquiry directed at prescribed, complementary, and illicit drugs is required.

The patient's past medical history was notable only for mumps at the age of 10. His medications included acetaminophen, clarithromycin, and an herbal medicine, which he had been taking for the prior several days. He reported no tobacco or illicit drug use and rarely drank alcohol. He had never been sexually active. He worked in a factory and reported occasional contact with silver. He lived with his parents; there was no family history of tuberculosis or connective tissue diseases. His father was from Kyushu (the southernmost major island in Japan) and had chronic hepatitis C. The patient denied recent animal exposure or recent travel. His childhood vaccinations were said to be up to date.

Mumps at age 10 might signal general lack of immunization, in which case childhood viral exanthema‐like measles (characterized by fever, headache, and diffuse rash) would warrant consideration. The listed medications had been started after the onset of illness and therefore are unlikely to be causal. Silver causes at least 2 skin conditionscontact dermatitis and argyriabut not the systemic illness seen here. Human T lymphotropic virus‐1 (HTLV‐1) is endemic in southern Japan, but only a minority of infected humans are afflicted with associated adult T cell leukemia/lymphoma or myelopathy. Leukemia and lymphoma are the most likely cancers to cause fever, rash, and central nervous system involvement (with T cell disorders demonstrating a particular tropism for the skin). Overall, however, the differential has not changed substantially.

On physical examination, the patient was mildly overweight and appeared acutely ill. His blood pressure was 136/78 mm Hg, pulse rate was 76 and regular, temperature was 39.2C and respiratory rate was 20 with an oxygen saturation of 98% on room air. A diffuse but nonconfluent erythematous maculopapular rash was present over his chest wall, back, medial aspects of both thighs, and around the knees. There was no jolt‐induced headache. His eyes, nose, oral cavity, and throat were all clear. The neck was supple. There were palpable lymph nodes, each about 1 cm in size, which were firm and moderately tender, in his left neck and left axilla. Lungs and heart were normal. The abdomen was soft, nontender, with normal bowel sounds and no hepatosplenomegaly. His genitalia were normal. Rectal examination revealed no masses or tenderness and a scant amount of brown stool that was negative for occult blood. Neurologic examination was unremarkable.

The multifocal lymphadenopathy does not help distinguish among the categories of disease under consideration. The diffuse maculopapular rash is similarly nonspecific, occurring more frequently with infection and drug reaction than malignancy and autoimmunity. Acute HIV, Epstein‐Barr virus (EBV), syphilis, SLE, drug exposure, or a hematologic malignancy would all be suitable explanations for fever, headache, diffuse rash, and disseminated lymphadenopathy in a previously healthy young man.

Laboratory data obtained on admission was notable for a white blood cell (WBC) count of 2100/L with 72% neutrophils, 19% lymphocytes, and 9% monocytes. Hemoglobin was 13.5 mg/dL with a mean corpuscular volume of 85 fL. Platelet count was 136,000/L. Erythrocyte sedimentation rate was 26 mm/hour. Serum chemistries revealed a sodium level of 135 mEq/L, potassium level of 3.6 mEq/L, chloride level of 100 mEq/L, blood urea nitrogen of 9.8 mg/dL, creatinine level of 1.0 mg/dL, glucose level of 101 mg/dL, calcium level of 8.8 mg/dL, albumin of 4.6 mg/dL, total protein of 8.4 mg/dL, aspartate aminotransferase of 42 IU/L (normal < 35 IU/L), alanine aminotransferase of 27 IU/L, total bilirubin of 0.5 mg/dL, and lactate dehydrogenase (LDH) level of 463 IU/L (normal < 260 IU/L). Chest radiography and electrocardiogram were normal.

A mild elevation in LDH is nonspecific, but without hemolysis or infarction of the kidney, lung, or muscle, it suggests a lymphoproliferative process. Leukopenia with thrombocytopenia can be seen in a number of disorders, most commonly infections including viruses (e.g., EBV, HIV, dengue), malaria, Rocky Mountain spotted fever, or ehrlichiosis/anaplasmosis. Confirmation of his lack of travel could help prioritize those considerations. An invasive bone marrow disorder cannot be excluded, although the near‐normal hemoglobin argues against it. Autoimmune cytopenias are seen in SLE. Given his age, lymphadenopathy, LDH elevation, and absence of infectious exposures, lymphoma rises to the top of the list.

Noninvasive measures should include examination of the peripheral smear, HIV testing (including HIV RNA for acute infection), EBV serologies, and tests for syphilis and SLE. Lumbar puncture (for evaluation of aseptic meningitis) and lymph node biopsy would be informative. Skin biopsy may be helpful to evaluate for aggressive T cell lymphoproliferative disorder, but this can await the results of initial testing.

The patient was given intravenous fluids and acetaminophen as needed. Blood cultures, urine culture, cytomegalovirus and EBV serologies, hepatitis B surface antigen, hepatitis C virus antibody, HIV antibody, antinuclear antibody, complement and ferritin levels, and quantiferon‐TB were ordered. The urine was normal and a urinary antigen test for Legionella was negative. Contrast‐enhanced computed tomography scan of the chest and abdomen was normal except for mild splenomegaly and an enlarged left axillary lymph node.

The ferritin may have been ordered to help evaluate for Still's disease, which is characterized by sustained fever, lymphadenopathy, and transient rash; however, the characteristic leukocytosis and arthralgias are absent. The computed tomography findings are most notable for the absence of generalized lymphadenopathy or significant hepatosplenomegaly that is seen in lymphoma, leukemia, and lymphotropic processes such as acute EBV infection. The localization of disease to the skin (where the predominant lymphocytes are of T cell origin) with relatively modest lymphadenopathy suggests a T cell lymphoma, perhaps of an indolent variety. Vertical transmission of HTLV‐1 decades ago would make adult T cell leukemia or lymphoma a major consideration.

On the third hospital day, WBC count was 1800/L with 67% neutrophils, 22% lymphocytes, and 1% atypical lymphocytes; LDH rose to 623 IU/L. He had continued fatigue and high fever while the rash gradually faded with oral antihistamines and steroid ointment. On hospital day 4, bone marrow biopsy and skin biopsy of his left thigh were performed.

The further decline in WBC and rise in LDH are modest and therefore do not significantly modify the differential diagnosis. Likewise, 1% atypical lymphocytosis is too low to pinpoint an etiology. Because unremitting fevers start to extend into their third week without a clear source of infection, the probability of malignancy and autoimmunity rise. Improvement with oral antihistamines and topical steroids frequently suggests an underlying allergic process, but the remainder of the clinical picture is not in keeping with atopy or allergy. Cutaneous lymphomas (eg, mycosis fungoides) can have waxing and waning skin manifestations, and can be temporarily or definitively treated by topical steroids. The persistence of his fatigue is of concern given the absence of anemia, cardiopulmonary involvement, or motor weakness.

Bone marrow biopsy showed normocellular marrow with no abnormal cells and some activated macrophages with hemophagocytic activity. Skin biopsy failed to show specific pathology.

His left cervical lymph nodes gradually enlarged. Ultrasound of the neck showed multiple enlarged lymph nodes (left side dominant) with dimension of 17 mm 9 mm 31 mm. Blood and urine cultures returned negative, as did HIV antibody. cytomegalovirus and EBV serologies were consistent with previous infection and the ferritin level was 578 ng/mL (normal, 39‐340 ng/mL). Toxoplasma serology and HTLV‐1 antibody were ordered.

The absence of malignant cells on bone marrow biopsy does not exclude lymphoma, but makes a myelophthisic cause of the cytopenias less likely. The macrophage hemophagocytosis reflects immune activation, which in turn is usually caused by the same viral infections, autoimmune conditions, and lymphoproliferative disorders which constitute the current differential diagnosis.

Bone marrow and skin biopsies are both subject to sampling error, and detection of cutaneous T cell lymphoma is notoriously difficult. However, taken together, the absence of cancer on 2 specimens reduces that possibility.

Sustained unilateral cervical lymphadenopathy with fever in a young Japanese man without any histologic evidence of lymphoma points to Kikuchi's disease, ie, lymphadenitis of unknown etiology associated with varying degrees of systemic manifestations. Fever is a frequent feature, we believe, but diffuse sustained rash, cytopenias, and headache are less common or are seen in severe forms of the disease. The diagnosis of Kikuchi's requires the diligent exclusion of SLE and lymphoma. Examination of the peripheral smear and a lymph node biopsy are required.

Of note, there is also a localized form of Castleman's disease, a nonmalignant lymphoproliferative disorder, that similarly is characterized by focal lymphadenopathy. In distinction to Kikuchi's, however, localized Castleman's is largely asymptomatic and responds marvelously to excision.

On hospital day 9, an excisional biopsy of his left anterior cervical lymph nodes was performed, which revealed paracortical foci with necrosis and a histiocytic cellular infiltrate consistent with subacute necrotizing lymphadenitis (Kikuchi‐Fujimoto disease). Antinuclear antibody, Toxoplasma, and HTLV‐1 antibodies returned negative.

There is no treatment for Kikuchi's. It is usually self‐limited, but steroids are sometimes given for symptomatic control.

His condition began to improve after hospital day 9 without specific treatment, including his WBC count and LDH level. He was discharged home on hospital day 15. In the outpatient clinic 1 and 3 months later, he was well and active without recurrences of any symptoms or laboratory abnormalities. His WBC count was 6600/L and LDH was 268 IU/L.

Commentary

Kikuchi‐Fujimoto disease (KFD), also called Kikuchi's disease, is a benign histiocytic necrotizing lymphadenitis described by both Kikuchi and Fujimoto in 1972.1, 2 It is rare in the United States, but seems more common in Asia, especially Japan, where at least 143 cases have been reported since 1972. The etiology has not been determined, but a viral causeincluding EBV, and human herpesvirus 6 and 8has been suggested.3 An autoimmune etiology is also implicated because of infrequent association with SLE. In general, young women are most likely to be affected. In a review of 244 cases by Kucukardali and colleagues, 77% of patients were female and the mean age was 25; 70% were younger than 30 years of age.4

The common presentation is low‐grade fever with unilateral cervical lymphadenopathy.4 Although generalized lymphadenopathy can occur, it is rare. Other common clinical manifestations include malaise, joint pain, rash, arthritis, and hepatosplenomegaly. No specific laboratory tests for diagnosis are available, but leukopenia (seen in 43% of patients), increased erythrocyte sedimentation rate (40%), and anemia (23%) may be observed.4 In this case, atypical lymphocytes were seen, and are reported in one‐third of patients.5 KFD is generally diagnosed by lymph node biopsy, which typically shows irregular paracortical areas of coagulation necrosis that can distort the nodal architecture, while different types of histiocytes are observed at the margin of necrotic areas.

Other diseases in the differential diagnosisseveral of which were considered by the discussantinclude lymphoma, tuberculosis, SLE, and even metastatic adenocarcinoma. KFD is self‐limited; symptoms typically resolve within 1 to 4 months. Patients with severe manifestations have been treated with anti‐inflammatory drugs and glucocorticosteroids. A recurrence rate of 3% to 4% has been reported.6

The clinicians taking care of this patient initially focused on ruling out those infections occasionally resulting in prolonged fever in a previously healthy young man, such as viruses from the herpes family, HIV, viral hepatitis, tuberculosis, syphilis, infective endocarditis, and intra‐abdominal abscess. Physical examination, specifically lymphadenopathy and mild splenomegaly, made Herpesviridae infections, tuberculosis, syphilis, and lymphoma difficult to exclude. Once the initial evaluation ruled out common infections, attention focused on malignancy and histiocytic necrotizing lymphadenitis, given his ethnicity and geographic location.

The discussant was similarly concerned about infection, malignancy, and noninfectious inflammatory diseases, such as SLE, as possible causes. As evidence of these treatable diseases failed to accumulate, the discussant, an American physician with teaching and clinical experience in Japan, considered endemic diseases such as Behcet's, HTLV‐1, and KFD because they fit the unfolding pattern. Given our global society, clinicians will increasingly benefit from becoming familiar with the less common diseases that afflict the various populations around the world.

Teaching Points

  • The combination of fever, lymphadenopathy, and leukopenia in young adults suggests SLE, lymphoma, and HIV. Clinicians should also consider KFD in patients from Japan and neighboring countries.

  • Lymph node biopsy is usually diagnostic of KFD, although interpretation of histopathology can be difficult and sometimes leads to confusion with SLE and lymphoma.

  • KFD typically resolves without specific treatment.

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient's case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.

A 19‐year‐old Japanese man was admitted to a hospital near Kyoto, Japan, because of fever and rash. Two weeks prior to admission, he developed mild headache and low‐grade fever; a rapid test for influenza was negative. His symptoms transiently improved with acetaminophen, but 8 days prior to admission, he developed fever to 38.5C and a pruritic maculopapular rash over his back that spread to his limbs. Six days prior to admission, a chest radiograph was clear; clarithromycin was prescribed for presumed upper respiratory infection. He visited the emergency department the day before admission because of continued fever of greater than 39C, fatigue, and headache. Because there was no jolt accentuation of the headache (ie, worsening with rapid horizontal rotation), or neck pain with extreme neck flexion, he was discharged on acetaminophen. He returned the next day with worsening fatigue and was admitted. He denied chills, rigor, weight loss, photosensitivity, sore throat, neck pain, cough, dyspnea, chest pain, nausea, vomiting, diarrhea, abdominal pain, back pain, and arthralgia.

Fever and diffuse rash are often due to infection, although drugs, autoimmune processes, and cancer must be considered. The presence of headache does not focus the differential diagnosis substantially, because many of the candidate diagnoses can be accompanied by meningitis or encephalitis, or even more frequently, nonspecific headaches. In one small study, jolt‐induced aggravation of headache was shown to be a sensitive indicator of cerebrospinal fluid pleocytosis. The absence of neck stiffness and the 2‐week duration makes bacterial meningitis unlikely, but a more indolent form of aseptic meningitis may need to be evaluated with a lumbar puncture.

The 2‐week illness without rapid deterioration makes some serious causes of fever and rash, such as toxic shock syndrome, disseminated meningococcal infection, or toxic epidermal necrolysis unlikely. A viral exanthema is possible, although the 2‐week duration is longer than usual. Given his youth, however, his immunization history should be queried, and acute infection with human immunodeficiency virus (HIV) should be considered. A more indolent infection, such as subacute bacterial endocarditis, disseminated gonococcal infection, or syphilis is plausible. Among autoimmune etiologies, systemic lupus erythematosus (SLE) and Behcet's disease (which is prevalent in Japan) can involve the central nervous system and cause fever. A careful inquiry directed at prescribed, complementary, and illicit drugs is required.

The patient's past medical history was notable only for mumps at the age of 10. His medications included acetaminophen, clarithromycin, and an herbal medicine, which he had been taking for the prior several days. He reported no tobacco or illicit drug use and rarely drank alcohol. He had never been sexually active. He worked in a factory and reported occasional contact with silver. He lived with his parents; there was no family history of tuberculosis or connective tissue diseases. His father was from Kyushu (the southernmost major island in Japan) and had chronic hepatitis C. The patient denied recent animal exposure or recent travel. His childhood vaccinations were said to be up to date.

Mumps at age 10 might signal general lack of immunization, in which case childhood viral exanthema‐like measles (characterized by fever, headache, and diffuse rash) would warrant consideration. The listed medications had been started after the onset of illness and therefore are unlikely to be causal. Silver causes at least 2 skin conditionscontact dermatitis and argyriabut not the systemic illness seen here. Human T lymphotropic virus‐1 (HTLV‐1) is endemic in southern Japan, but only a minority of infected humans are afflicted with associated adult T cell leukemia/lymphoma or myelopathy. Leukemia and lymphoma are the most likely cancers to cause fever, rash, and central nervous system involvement (with T cell disorders demonstrating a particular tropism for the skin). Overall, however, the differential has not changed substantially.

On physical examination, the patient was mildly overweight and appeared acutely ill. His blood pressure was 136/78 mm Hg, pulse rate was 76 and regular, temperature was 39.2C and respiratory rate was 20 with an oxygen saturation of 98% on room air. A diffuse but nonconfluent erythematous maculopapular rash was present over his chest wall, back, medial aspects of both thighs, and around the knees. There was no jolt‐induced headache. His eyes, nose, oral cavity, and throat were all clear. The neck was supple. There were palpable lymph nodes, each about 1 cm in size, which were firm and moderately tender, in his left neck and left axilla. Lungs and heart were normal. The abdomen was soft, nontender, with normal bowel sounds and no hepatosplenomegaly. His genitalia were normal. Rectal examination revealed no masses or tenderness and a scant amount of brown stool that was negative for occult blood. Neurologic examination was unremarkable.

The multifocal lymphadenopathy does not help distinguish among the categories of disease under consideration. The diffuse maculopapular rash is similarly nonspecific, occurring more frequently with infection and drug reaction than malignancy and autoimmunity. Acute HIV, Epstein‐Barr virus (EBV), syphilis, SLE, drug exposure, or a hematologic malignancy would all be suitable explanations for fever, headache, diffuse rash, and disseminated lymphadenopathy in a previously healthy young man.

Laboratory data obtained on admission was notable for a white blood cell (WBC) count of 2100/L with 72% neutrophils, 19% lymphocytes, and 9% monocytes. Hemoglobin was 13.5 mg/dL with a mean corpuscular volume of 85 fL. Platelet count was 136,000/L. Erythrocyte sedimentation rate was 26 mm/hour. Serum chemistries revealed a sodium level of 135 mEq/L, potassium level of 3.6 mEq/L, chloride level of 100 mEq/L, blood urea nitrogen of 9.8 mg/dL, creatinine level of 1.0 mg/dL, glucose level of 101 mg/dL, calcium level of 8.8 mg/dL, albumin of 4.6 mg/dL, total protein of 8.4 mg/dL, aspartate aminotransferase of 42 IU/L (normal < 35 IU/L), alanine aminotransferase of 27 IU/L, total bilirubin of 0.5 mg/dL, and lactate dehydrogenase (LDH) level of 463 IU/L (normal < 260 IU/L). Chest radiography and electrocardiogram were normal.

A mild elevation in LDH is nonspecific, but without hemolysis or infarction of the kidney, lung, or muscle, it suggests a lymphoproliferative process. Leukopenia with thrombocytopenia can be seen in a number of disorders, most commonly infections including viruses (e.g., EBV, HIV, dengue), malaria, Rocky Mountain spotted fever, or ehrlichiosis/anaplasmosis. Confirmation of his lack of travel could help prioritize those considerations. An invasive bone marrow disorder cannot be excluded, although the near‐normal hemoglobin argues against it. Autoimmune cytopenias are seen in SLE. Given his age, lymphadenopathy, LDH elevation, and absence of infectious exposures, lymphoma rises to the top of the list.

Noninvasive measures should include examination of the peripheral smear, HIV testing (including HIV RNA for acute infection), EBV serologies, and tests for syphilis and SLE. Lumbar puncture (for evaluation of aseptic meningitis) and lymph node biopsy would be informative. Skin biopsy may be helpful to evaluate for aggressive T cell lymphoproliferative disorder, but this can await the results of initial testing.

The patient was given intravenous fluids and acetaminophen as needed. Blood cultures, urine culture, cytomegalovirus and EBV serologies, hepatitis B surface antigen, hepatitis C virus antibody, HIV antibody, antinuclear antibody, complement and ferritin levels, and quantiferon‐TB were ordered. The urine was normal and a urinary antigen test for Legionella was negative. Contrast‐enhanced computed tomography scan of the chest and abdomen was normal except for mild splenomegaly and an enlarged left axillary lymph node.

The ferritin may have been ordered to help evaluate for Still's disease, which is characterized by sustained fever, lymphadenopathy, and transient rash; however, the characteristic leukocytosis and arthralgias are absent. The computed tomography findings are most notable for the absence of generalized lymphadenopathy or significant hepatosplenomegaly that is seen in lymphoma, leukemia, and lymphotropic processes such as acute EBV infection. The localization of disease to the skin (where the predominant lymphocytes are of T cell origin) with relatively modest lymphadenopathy suggests a T cell lymphoma, perhaps of an indolent variety. Vertical transmission of HTLV‐1 decades ago would make adult T cell leukemia or lymphoma a major consideration.

On the third hospital day, WBC count was 1800/L with 67% neutrophils, 22% lymphocytes, and 1% atypical lymphocytes; LDH rose to 623 IU/L. He had continued fatigue and high fever while the rash gradually faded with oral antihistamines and steroid ointment. On hospital day 4, bone marrow biopsy and skin biopsy of his left thigh were performed.

The further decline in WBC and rise in LDH are modest and therefore do not significantly modify the differential diagnosis. Likewise, 1% atypical lymphocytosis is too low to pinpoint an etiology. Because unremitting fevers start to extend into their third week without a clear source of infection, the probability of malignancy and autoimmunity rise. Improvement with oral antihistamines and topical steroids frequently suggests an underlying allergic process, but the remainder of the clinical picture is not in keeping with atopy or allergy. Cutaneous lymphomas (eg, mycosis fungoides) can have waxing and waning skin manifestations, and can be temporarily or definitively treated by topical steroids. The persistence of his fatigue is of concern given the absence of anemia, cardiopulmonary involvement, or motor weakness.

Bone marrow biopsy showed normocellular marrow with no abnormal cells and some activated macrophages with hemophagocytic activity. Skin biopsy failed to show specific pathology.

His left cervical lymph nodes gradually enlarged. Ultrasound of the neck showed multiple enlarged lymph nodes (left side dominant) with dimension of 17 mm 9 mm 31 mm. Blood and urine cultures returned negative, as did HIV antibody. cytomegalovirus and EBV serologies were consistent with previous infection and the ferritin level was 578 ng/mL (normal, 39‐340 ng/mL). Toxoplasma serology and HTLV‐1 antibody were ordered.

The absence of malignant cells on bone marrow biopsy does not exclude lymphoma, but makes a myelophthisic cause of the cytopenias less likely. The macrophage hemophagocytosis reflects immune activation, which in turn is usually caused by the same viral infections, autoimmune conditions, and lymphoproliferative disorders which constitute the current differential diagnosis.

Bone marrow and skin biopsies are both subject to sampling error, and detection of cutaneous T cell lymphoma is notoriously difficult. However, taken together, the absence of cancer on 2 specimens reduces that possibility.

Sustained unilateral cervical lymphadenopathy with fever in a young Japanese man without any histologic evidence of lymphoma points to Kikuchi's disease, ie, lymphadenitis of unknown etiology associated with varying degrees of systemic manifestations. Fever is a frequent feature, we believe, but diffuse sustained rash, cytopenias, and headache are less common or are seen in severe forms of the disease. The diagnosis of Kikuchi's requires the diligent exclusion of SLE and lymphoma. Examination of the peripheral smear and a lymph node biopsy are required.

Of note, there is also a localized form of Castleman's disease, a nonmalignant lymphoproliferative disorder, that similarly is characterized by focal lymphadenopathy. In distinction to Kikuchi's, however, localized Castleman's is largely asymptomatic and responds marvelously to excision.

On hospital day 9, an excisional biopsy of his left anterior cervical lymph nodes was performed, which revealed paracortical foci with necrosis and a histiocytic cellular infiltrate consistent with subacute necrotizing lymphadenitis (Kikuchi‐Fujimoto disease). Antinuclear antibody, Toxoplasma, and HTLV‐1 antibodies returned negative.

There is no treatment for Kikuchi's. It is usually self‐limited, but steroids are sometimes given for symptomatic control.

His condition began to improve after hospital day 9 without specific treatment, including his WBC count and LDH level. He was discharged home on hospital day 15. In the outpatient clinic 1 and 3 months later, he was well and active without recurrences of any symptoms or laboratory abnormalities. His WBC count was 6600/L and LDH was 268 IU/L.

Commentary

Kikuchi‐Fujimoto disease (KFD), also called Kikuchi's disease, is a benign histiocytic necrotizing lymphadenitis described by both Kikuchi and Fujimoto in 1972.1, 2 It is rare in the United States, but seems more common in Asia, especially Japan, where at least 143 cases have been reported since 1972. The etiology has not been determined, but a viral causeincluding EBV, and human herpesvirus 6 and 8has been suggested.3 An autoimmune etiology is also implicated because of infrequent association with SLE. In general, young women are most likely to be affected. In a review of 244 cases by Kucukardali and colleagues, 77% of patients were female and the mean age was 25; 70% were younger than 30 years of age.4

The common presentation is low‐grade fever with unilateral cervical lymphadenopathy.4 Although generalized lymphadenopathy can occur, it is rare. Other common clinical manifestations include malaise, joint pain, rash, arthritis, and hepatosplenomegaly. No specific laboratory tests for diagnosis are available, but leukopenia (seen in 43% of patients), increased erythrocyte sedimentation rate (40%), and anemia (23%) may be observed.4 In this case, atypical lymphocytes were seen, and are reported in one‐third of patients.5 KFD is generally diagnosed by lymph node biopsy, which typically shows irregular paracortical areas of coagulation necrosis that can distort the nodal architecture, while different types of histiocytes are observed at the margin of necrotic areas.

Other diseases in the differential diagnosisseveral of which were considered by the discussantinclude lymphoma, tuberculosis, SLE, and even metastatic adenocarcinoma. KFD is self‐limited; symptoms typically resolve within 1 to 4 months. Patients with severe manifestations have been treated with anti‐inflammatory drugs and glucocorticosteroids. A recurrence rate of 3% to 4% has been reported.6

The clinicians taking care of this patient initially focused on ruling out those infections occasionally resulting in prolonged fever in a previously healthy young man, such as viruses from the herpes family, HIV, viral hepatitis, tuberculosis, syphilis, infective endocarditis, and intra‐abdominal abscess. Physical examination, specifically lymphadenopathy and mild splenomegaly, made Herpesviridae infections, tuberculosis, syphilis, and lymphoma difficult to exclude. Once the initial evaluation ruled out common infections, attention focused on malignancy and histiocytic necrotizing lymphadenitis, given his ethnicity and geographic location.

The discussant was similarly concerned about infection, malignancy, and noninfectious inflammatory diseases, such as SLE, as possible causes. As evidence of these treatable diseases failed to accumulate, the discussant, an American physician with teaching and clinical experience in Japan, considered endemic diseases such as Behcet's, HTLV‐1, and KFD because they fit the unfolding pattern. Given our global society, clinicians will increasingly benefit from becoming familiar with the less common diseases that afflict the various populations around the world.

Teaching Points

  • The combination of fever, lymphadenopathy, and leukopenia in young adults suggests SLE, lymphoma, and HIV. Clinicians should also consider KFD in patients from Japan and neighboring countries.

  • Lymph node biopsy is usually diagnostic of KFD, although interpretation of histopathology can be difficult and sometimes leads to confusion with SLE and lymphoma.

  • KFD typically resolves without specific treatment.

The approach to clinical conundrums by an expert clinician is revealed through the presentation of an actual patient's case in an approach typical of a morning report. Similarly to patient care, sequential pieces of information are provided to the clinician, who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.

References
  1. Kikuchi M.Lymphadenitis showing focal reticulum cell hyperplasia with nuclear debris and phagocytes: a clinicopathological study.Acta Hematol Jpn.1972;35:379380.
  2. Fujimoto Y,Kozima Y,Yamaguchi K.Cervical subacute necrotizing lymphadenitis: a new clinicopathological agent.Naika.1972;20:920927.
  3. Bosch X,Guilabert A,Miquel R,Campo E.Enigmatic Kikuchi‐Fujimoto disease: a comprehensive review.Am J Clin Pathol.2004;122:141152.
  4. Kucukardali Y,Solmazgul E,Kunter E,Oncul O,Yildirim S,Kaplan M.Kikuchi‐Fujimoto Disease: analysis of 244 cases.Clin Rheumatol.2007;26:5054.
  5. Lin HC,Su CY,Huang CC,Hwang CF,Chein CY.Kikuchi's disease: A review and analysis of 61 cases.Otolaryngol Head Neck Surg.2003;128:650653.
  6. Dorfman RF.Histiocytic necrotizing lymphadenitis of Kikuchi and Fujimoto.Arch Pathol Lab Med.1987;11:10261029.
References
  1. Kikuchi M.Lymphadenitis showing focal reticulum cell hyperplasia with nuclear debris and phagocytes: a clinicopathological study.Acta Hematol Jpn.1972;35:379380.
  2. Fujimoto Y,Kozima Y,Yamaguchi K.Cervical subacute necrotizing lymphadenitis: a new clinicopathological agent.Naika.1972;20:920927.
  3. Bosch X,Guilabert A,Miquel R,Campo E.Enigmatic Kikuchi‐Fujimoto disease: a comprehensive review.Am J Clin Pathol.2004;122:141152.
  4. Kucukardali Y,Solmazgul E,Kunter E,Oncul O,Yildirim S,Kaplan M.Kikuchi‐Fujimoto Disease: analysis of 244 cases.Clin Rheumatol.2007;26:5054.
  5. Lin HC,Su CY,Huang CC,Hwang CF,Chein CY.Kikuchi's disease: A review and analysis of 61 cases.Otolaryngol Head Neck Surg.2003;128:650653.
  6. Dorfman RF.Histiocytic necrotizing lymphadenitis of Kikuchi and Fujimoto.Arch Pathol Lab Med.1987;11:10261029.
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Physician Assistant‐Based General Medical Inpatient Care

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A comparison of outcomes of general medical inpatient care provided by a hospitalist‐physician assistant model vs a traditional resident‐based model

In 2003 the Accreditation Council for Graduate Medical Education (ACGME) prescribed residency reform in the form of work hour restrictions without prescribing alternatives to resident based care.1 As a response, many academic medical centers have developed innovative models for providing inpatient care, some of which incorporate Physician Assistants (PAs).2 With further restrictions in resident work hours possible,3 teaching hospitals may increase use of these alternate models to provide inpatient care. Widespread implementation of such new and untested models could impact the care of the approximately 20 million hospitalizations that occur every year in US teaching hospitals.4

Few reports have compared the care delivered by these alternate models with the care provided by traditional resident‐based models of care.58 Roy et al.8 have provided the only recent comparison of a PA‐based model of care with a resident‐based model. They showed lower adjusted costs of inpatient care associated with PA based care but other outcomes were similar to resident‐based teams.

The objective of this study is to provide a valid and usable comparison of the outcomes of a hospitalist‐PA (H‐PA) model of inpatient care with the traditional resident‐based model. This will add to the quantity and quality of the limited research on PA‐based inpatient care, and informs the anticipated increase in the involvement of PAs in this arena.

Methods

Study Design and Setting

We conducted a retrospective cohort study at a 430‐bed urban academic medical center in the Midwestern United States.

Models of General Medical (GM) Inpatient Care at the Study Hospital During the Study Period

In November 2004, as a response to the ACGME‐mandated work hour regulations, we formed 2 Hospitalist‐PA teams (H‐PA) to supplement the 6 preexisting general medicine resident teams (RES).

The H‐PA and RES teams differed in staffing, admitting times and weekend/overnight cross coverage structure (Table 1). There were no predesigned differences between the teams in the ward location of their patients, availability of laboratory/radiology services, specialty consultation, social services/case management resources, nursing resources or documentation requirements for admission, daily care, and discharge.

Differences in Structure and Function Between Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA TeamsRES Teams
Attending physicianAlways a hospitalistHospitalist, non‐hospitalist general internist or rarely a specialist
Attending physician roleSupervisory for some patients (about half) and sole care provider for others.Supervisory for all patients
Team compositionOne attending paired with 1 PAAttending + senior resident + (2) interns + (2‐3) medical students
Rotation schedule  
AttendingEvery 2 weeksEvery 2 weeks
Physician assistantOff on weekends 
House staff & medical students Every month
WeekendNo new admissions & hospitalist manages all patientsAccept new admissions
Admission times (weekdays)7 AM to 3 PMNoon to 7 AM
Source of admissionsEmergency room, clinics, other hospitalsEmergency room, clinics, other hospitals
Number of admissions (weekdays)4‐6 patients per day per teamNoon to 5 PM: 2 teams admit a maximum of 9 patients total
  5 PM to 7 AM: 3 teams admit a maximum 5 patients each.
Overnight coverageroles and responsibilitiesOne in‐house faculty3 on call interns
 Cross‐covering 2 H‐PA teamsCross‐covering 2 teams each
 Performing triageAdmitting up to 5 patients each
 Admitting patients if necessary 
 Assisting residents if necessary 
 General medical consultation 

Admission Schedule for H‐PA or RES Teams

The admitting schedule was designed to decrease the workload of the house staff and to do so specifically during the periods of peak educational activity (morning report, attending‐led teaching rounds, and noon report). A faculty admitting medical officer (AMO) assigned patients strictly based on the time an admission was requested. Importantly, the request for admission preceded the time of actual admission recorded when the patient reached the ward. The time difference between request for admission and actual admission depended on the source of admission and the delay associated with assigning a patient room. The AMO assigned 8 to 12 new patients to the H‐PA teams every weekday between 7 AM and 3 PM and to the RES teams between noon and 7 AM the next day. There was a designed period of overlap from noon to 3 PM during which both H‐PA and RES teams could admit patients. This period allowed for flexibility in assigning patients to either type of team depending on their workload. The AMO did not use patient complexity or teaching value to assign patients.

Exceptions to Admission Schedule

Patients admitted overnight after the on call RES had reached their admission limits were assigned to H‐PA teams the next morning. In addition, recently discharged patients who were readmitted while the discharging hospitalist (H‐PA teams) or the discharging resident (RES teams) was still scheduled for inpatient duties, were assigned back to the discharging team irrespective of the admitting schedule.

The same medicine team cared for a patient from admission to discharge but on transfer to the intensive care unit (ICU), an intensivist led critical care team assumed care. On transfer out of the ICU these patients were assigned back to the original team irrespective of admitting schedulethe so called bounce back rule to promote inpatient continuity of care. But if the residents (RES teams) or the hospitalist (H‐PA teams) had changedthe bounce back rule was no longer in effect and these patients were assigned to a team according to the admission schedule.

Study Population and Study Period

We included all hospitalizations of adult patients to GM teams if both their date of admission and their date of discharge fell within the study period (January 1, 2005 to December 31, 2006). We excluded hospitalizations with admissions during the weekendwhen H‐PA teams did not admit patients; hospitalizations to GM services with transfer to nonGM service (excluding ICU) and hospitalizations involving comanagement with specialty servicesas the contribution of GM teams for these was variable; and hospitalizations of private patients.

Data Collection and Team Assignment

We collected patient data from our hospital's discharge abstract database. This database did not contain team information so to assign teams we matched the discharging attending and the day of discharge to the type of team that the discharging attending was leading that day.

We collected patient age, gender, race, insurance status, zip‐code, primary care provider, source of admission, ward type, time and day of admission, and time and day of discharge for use as independent variables. The time of admission captured in the database was the time of actual admission and not the time the admission was requested.

We grouped the principal diagnosis International Statistical Classification of Diseases and Related Health Problems, 9th edition (ICD‐9) codes into clinically relevant categories using the Clinical Classification Software.9 We created comorbidity measures using Healthcare Cost and Utilization Project Comorbidity Software, version 3.4.10

Outcome Measures

We used length of stay (LOS), charges, readmissions within 7, 14, and 30 days and inpatient mortality as our outcome measures. We calculated LOS by subtracting the discharge day and time from the admission day and time. The LOS included time spent in the ICU. We summed all charges accrued during the entire hospitalization including any stay in the ICU but did not include professional fees. We considered any repeat hospitalization to our hospital within 7, 14, and 30 days following a discharge to be a readmission except that we excluded readmissions for a planned procedure or for inpatient rehabilitation.

Statistical Analysis

Descriptive Analysis

We performed unadjusted descriptive statistics at the level of an individual hospitalization using medians and interquartile ranges for continuous data and frequencies and percentages for categorical data. We used chi‐square tests of association and KruskalWallis analysis of variance to compare H‐PA and RES teams.

Missing Data

Because we lacked data on whether a primary outpatient care provider was available for 284 (2.9%) of our study hospitalizations, we dropped them from our multivariable analyses. We used an arbitrary discharge time of noon for the 11 hospitalizations which did not have a discharge time recorded.

Multivariable Analysis

We used multivariable mixed models to risk adjust for a wide variety of variables. We included age, gender, race, insurance, presence of primary care physician, and total number of comorbidities as fixed effects in all models because of the high face validity of these variables. We then added admission source, ward, time, day of week, discharge day of week, and comorbidity measures one by one as fixed effects, including them only if significant at P < 0.01. For assessing LOS, charges, and readmissions, we added a variable identifying each patient as a random effect to account for multiple admissions for the same patient. We then added variables identifying attending physician, principal diagnostic group, and ZIP code of residence as random effects to account for clustering of hospitalizations within these categories, including them only if significant at P < 0.01. For the model assessing mortality we included variables for attending physician, principal diagnostic group, and ZIP code of residence as random effects if significant at P < 0.01. We log transformed LOS and charges because they were extremely skewed in nature. Readmissions were analyzed after excluding patients who died or were discharged alive within 7, 14, or 30 days of the end of the study period.

Sensitivity Analyses

To assess the influence of LOS outliers, we changed LOS to 6 hours if it was less than 6 hours, and 45 days if it was more than 45 daysa process called winsorizing. We consider winsorizing superior to dropping outliers because it acknowledges that outliers contribute information, but prevent them from being too influential. We chose the 6 hour cut off because we believed that was the minimum time required to admit and then discharge a patient. We chose the upper limit of 45 days on reviewing the frequency distribution for outliers. Similarly, we winsorized charges at the first and 99th percentile after reviewing the frequency distribution for outliers. We then log transformed the winsorized data before analysis.

Inpatient deaths reduce the LOS and charges associated with a hospitalization. Thus excess mortality may provide a false concession in terms of lower LOS or charges. To check if this occurred in our study we repeated the analyses after excluding inpatient deaths.

ICU stays are associated with higher LOS, charges, and mortality. In our model of care, some patients transferred to the ICU are not cared for by the original team on transfer out. Moreover, care in the ICU is not controlled by the team that discharges them. Since this might obscure differences in outcomes achieved by RES vs. H‐PA teams, we repeated these analyses after excluding hospitalizations with an ICU stay.

Since mortality can only occur during 1 hospitalization per patient, we repeated the mortality analysis using only each patient's first admission or last admission and using a randomly selected single admission for each patient.

Subgroup Analysis

To limit the effect of different physician characteristics on H‐PA and RES teams we separately analyzed the hospitalizations under the care of hospitalists who served on both H‐PA and RES teams.

To limit the effect of different admission schedules of H‐PA and RES teams we analyzed the hospitalizations with admission times between 11.00 AM and 4.00 PM. Such hospitalizations were likely to be assigned during the noon to 3 PM period when they could be assigned to either an H‐PA or RES team.

Interactions

Finally we explored interactions between the type of team and the fixed effect variables included in each model.

Statistical Software

We performed the statistical analysis using SAS software version 9.0 for UNIX (SAS Institute, Inc., Cary, NC) and R software (The R Project for Statistical Computing).

This study protocol was approved by the hospital's institutional review board.

Results

Study Population

Of the 52,391 hospitalizations to our hospital during the study period, 13,058 were admitted to general medicine. We excluded 3102 weekend admissions and 209 who met other exclusion criteria. We could not determine the team assignment for 66. Of the remaining 9681 hospitalizations, we assigned 2171 to H‐PA teams and 7510 to RES teams (Figure 1).

Figure 1
Study population (H‐PA, hospitalist‐physician assistant team; RES, traditional resident team).

Descriptive Analysis

We compare patients assigned to H‐PA and RES teams in Table 2. They were similar in age, gender, race, having a primary care provider or not, and insurance status. Clinically, they had similar comorbidities and a similar distribution of common principal diagnoses. Consistent with their admitting schedule, H‐PA teams admitted and discharged more patients earlier in the day and admitted more patients earlier in the work week. Patients cared for by H‐PA teams were admitted from the Emergency Room (ER) less often and were more likely to reside on wards designated as nonmedicine by nursing specialty. Hospitalizations to H‐PA teams more often included an ICU stay.

Characteristics of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA (n = 2171)RES (n = 7510)P Value
  • Abbreviations: CI, confidence interval; ER, emergency room; H‐PA, hospitalist‐physician assistant; ICU, Intensive care unit; RES, traditional resident.

Age   
Mean56.8057.04 
Median56560.15
Interquartile range43‐7243‐73 
Age group (years), n (%)   
< 2010 (0.5)57 (0.8) 
20‐29186 (8.6)632 (8.7) 
30‐39221 (10.2)766 (10.3) 
40‐49387 (17.8)1341 (18.1) 
50‐59434 (20.0)1492 (20.2)0.28
60‐69325 (15.0)974 (12.8) 
70‐79271 (12.5)1035 (13.6) 
80‐89262 (12.0)951(12.3) 
90<75 (3.5)262 (3.4) 
Female, n (%)1175 (54.1)4138 (55.1)0.42
Race, n (%)   
White1282 (59.1)4419 (58.9) 
Black793 (36.5)2754 (36.7)0.98
Other96 (4.4)337 (4.5) 
Primary care provider, n (%)  0.16
Yes1537 (73.2)5451 (74.7) 
Missing: 28471 (3.3)213 (2.8) 
Insurance status, n (%)   
Commercial/worker's comp440 (20.3)1442 (19.2) 
Medicare1017 (46.8)3589 (47.8)0.52
Medicaid/others714 (32.9)2479 (33.0) 
Time of admission, n (%)   
0000‐0259167 (7.7)1068 (14.2) 
0300‐0559244 (11.2)485 (6.5) 
0600‐0859456 (21.0)270 (3.6) 
0900‐1159782 (36.0)1146 (15.3)<0.001
1200‐1459299 (13.8)1750 (23.3) 
1500‐1759155 (7.1)1676 (22.3) 
1800‐235968 (3.1)1115 (14.9) 
Time of discharge, n (%)   
2100‐085936 (1.7)174 (2.3) 
0900‐1159275 (12.7)495 (6.6) 
1200‐1459858 (39.6)2608 (34.8)<0.001
1500‐1759749 (34.6)3122 (41.6) 
1800‐2059249 (11.5)1104 (14.7) 
Missing47 
Day of week of admission, n (%)   
Monday462 (21.3)1549 (20.6) 
Tuesday499 (23.0)1470 (19.6) 
Wednesday430 (19.8)1479 (19.7)0.001
Thursday400 (18.4)1482 (19.7) 
Friday380 (17.5)1530 (20.4) 
Day of week of discharge, n (%)   
Monday207 (9.5)829 (11.0) 
Tuesday268 (12.3)973 (13.0) 
Wednesday334 (15.4)1142 (15.2) 
Thursday362 (16.7)1297 (17.3)0.16
Friday485 (22.3)1523 (20.3) 
Saturday330 (15.2)1165 (15.5) 
Sunday185 (8.5)581 (7.7) 
Admit to non‐medicine wards, n (%)1332 (61.4)2624 (34.9)<0.001
Transfer to ICU (at least once), n (%)299 (13.8)504 (6.7)<0.001
Admit from ER No (%)1663 (76.6)6063 (80.7)<0.001
10 most frequent diagnosis (%)Pneumonia (4.9)Pneumonia (5.5) 
 Congestive heart failure; nonhypertensive (4.2)Congestive heart failure; nonhypertensive (3.9) 
 Sickle cell anemia (3.9)Nonspecific chest pain (3.7) 
 Chronic obstructive pulmonary disease and Bronchiectasis (3.3)Urinary tract infections(3.6) 
 Diabetes mellitus with complications (3.2)Skin and subcutaneous tissue infections (3.3) 
 Urinary tract infections (3.2)Sickle cell anemia (3.3) 
 Asthma (3.0)Pancreatic disorders (not diabetes) (2.8) 
 Nonspecific chest pain (3.0)Asthma (2.8) 
 Pancreatic disorders (not diabetes) (2.9)Chronic obstructive pulmonary disease and Bronchiectasis (2.6) 
 Septicemia (2.2)Diabetes mellitus with complications (2.6) 
Average number of comorbidities mean (95% CI)0.39 (0.37‐0.42)0.38 (0.36‐0.39)0.23

In unadjusted comparisons of outcomes (Table 3), hospitalizations on H‐PA teams had higher lengths of stay and charges than hospitalizations on RES teams, possibly higher inpatient mortality rates but similar unadjusted readmission rates at 7, 14, and 30 days

Unadjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA (n = 2171)RES (n = 7150)% Difference* (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; IQR, interquartile range; LOS, length of stay;

  • On comparing log transformed LOS;

  • RES is reference group.

LOSMedian (IQR)Median (IQR)  
Days3.17 (2.03‐5.30)2.99 (1.80‐5.08)+8.9% (4.71‐13.29%)<0.001
Charges    
US Dollars9390 (6196‐16,239)9044 (6106‐14,805)+5.56% (1.96‐9.28%)0.002
Readmissionsn (%)n (%)Odds Ratio (CI) 
Within 7 days147 (6.96)571 (7.78)0.88 (0.73‐1.06)0.19
Within14 days236 (11.34)924 (12.76)0.87 (0.75‐1.01)0.07
Within 30 days383 (18.91)1436 (20.31)0.91 (0.80‐1.03)0.14
Inpatient deaths39 (1.8)95 (1.3)1.36 (0.90‐2.00)0.06

Multivariable Analysis

LOS

Hospitalizations to H‐PA teams were associated with a 6.73% longer LOS (P = 0.005) (Table 4). This difference persisted when we used the winsorized data (6.45% increase, P = 0.006), excluded inpatient deaths (6.81% increase, P = 0.005), or excluded hospitalizations that involved an ICU stay (6.40%increase, P = 0.011) (Table 5).

Adjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams (RES is the reference group)
 OverallSubgroup: Restricted to Physicians Attending on Both H‐PA and RES Teams*Subgroup: Restricted to Hospitalizations Between 11.00 AM and 4.00 PM
% Difference (CI)P Value% Difference (CI)P Value% Difference (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; LOS, length of stay; OR, odds ratio;

  • Number of observations included in subgroup ranges from 2992 to 3196;

  • Number of observations included in subgroup ranges from 3174 to 3384.

LOS6.73% (1.99% to 11.70%)0.0055.44% (0.65% to 11.91%)0.082.97% (4.47% to 10.98%)0.44
Charges2.75% (1.30% to 6.97%)0.191.55% (3.76% to 7.16%)0.576.45% (0.62% to 14.03%)0.07
Risk of ReadmissionAdjusted OR (95%CI)P ValueAdjusted OR (95% CI)P ValueAdjusted OR (95% CI)P Value
Within 7 days0.88 (0.64‐1.20)0.420.74 (0.40‐1.35)0.320.90 (0.40‐2.00)0.78
Within14 days0.90 (0.69‐1.19)0.460.71 (0.51‐0.99)0.050.87 (0.36‐2.13)0.77
Within 30 days0.89 (0.75‐1.06)0.200.75 (0.51‐1.08)0.120.92 (0.55‐1.54)0.75
Inpatient mortality1.27 (0.82‐1.97)0.281.46 (0.67‐3.17)0.331.14 (0.47‐2.74)0.77
Sensitivity Analysis: Adjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams (RES Is the Reference Group)
 Analysis With Winsorized DataAnalysis After Excluding Inpatient DeathsAnalysis After Excluding Patients With ICU Stays
% Difference (CI)P Value% Difference (CI)P Value% Difference (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; ICU, intensive care unit; LOS, length of stay; OR, odds ratio.

LOS6.45% (4.04 to 8.91%)0.0066.81% (2.03 to 11.80%)0.0056.40% (1.46 to 11.58%)0.011
Charges2.67 (1.27 to 6.76%)0.1872.89% (1.16 to 7.11%)0.1640.74% (3.11 to 4.76%)0.710

Charges

Hospitalizations to H‐PA and RES teams were associated with similar charges (Table 4). The results were similar when we used winsorized data, excluded inpatient deaths or excluded hospitalizations involving an ICU stay (Table 5).

Readmissions

The risk of readmission at 7, 14, and 30 days was similar between hospitalizations to H‐PA and RES teams (Table 4).

Mortality

The risk of inpatient death was similar between all hospitalizations to H‐PA and RES teams or only hospitalizations without an ICU stay (Table 4). The results also remained the same in analyses restricted to first admissions, last admissions, or 1 randomly selected admission per patient.

Sub‐Group Analysis

On restricting the multivariable analyses to the subset of hospitalists who staffed both types of teams (Table 4), the increase in LOS associated with H‐PA care was no longer significant (5.44% higher, P = 0.081). The charges, risk of readmission at 7 and 30 days, and risk of inpatient mortality remained similar. The risk of readmission at 14 days was slightly lower following hospitalizations to H‐PA teams (odds ratio 0.71, 95% confidence interval [CI] 0.51‐0.99).

The increase in LOS associated with H‐PA care was further attenuated in analyses of the subset of admissions between 11.00 AM and 4.00 PM (2.97% higher, P = 0.444). The difference in charges approached significance (6.45% higher, P = 0.07), but risk of readmission at 7, 14, and 30 days and risk of inpatient mortality were no different (Table 4).

Interactions

On adding interaction terms between the team assignment and the fixed effect variables in each model we detected that the effect of H‐PA care on LOS (P < 0.001) and charges (P < 0.001) varied by time of admission (Figure 2a and b). Hospitalizations to H‐PA teams from 6.00 PM to 6.00 AM had greater relative increases in LOS as compared to hospitalizations to RES teams during those times. Similarly, hospitalizations during the period 3.00 PM to 3.00 AM had relatively higher charges associated with H‐PA care compared to RES care.

Figure 2
(A) Relative difference in length of stay associated with care by H‐PA teams by times of admission (in percent change with RES as reference). (B) Relative difference in charges associated with care by H‐PA teams by time of admission (in percent with RES as reference). Abbreviations: H‐PA, hospitalist‐physician assistant team; RES traditional resident team. [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.]

Discussion

We found that hospitalizations to our H‐PA teams had longer LOS but similar charges, readmission rates, and mortality as compared to traditional resident‐based teams. These findings were robust to multiple sensitivity and subgroup analyses but when we examined times when both types of teams could receive admissions, the difference in LOS was markedly attenuated and nonsignificant.

We note that most prior reports comparing PA‐based models of inpatient care predate the ACGME work hour regulations. In a randomized control trial (1987‐1988) Simmer et al.5 showed lower lengths of stay and charges but possibly higher risk of readmission for PA based teams as compared to resident based teams. Van Rhee et al.7 conducted a nonrandomized retrospective cohort study (1994‐1995) using administrative data which showed lower resource utilization for PA‐based inpatient care. Our results from 2005 to 2006 reflect the important changes in the organization and delivery of inpatient care since these previous investigations.

Roy et al.8 report the only previously published comparison of PA and resident based GM inpatient care after the ACGME mandated work hour regulations. They found PA‐based care was associated with lower costs, whereas we found similar charges for admissions to RES and H‐PA teams. They also found that LOS was similar for PA and resident‐based care, while we found a higher LOS for admissions to our H‐PA team. We note that although the design of Roy's study was similar to our own, patients cared for by PA‐based teams were geographically localized in their model. This may contribute to the differences in results noted between our studies.

Despite no designed differences in patients assigned to either type of team other than time of admission we noted some differences between the H‐PA and RES teams in the descriptive analysis. These differences, such as a higher proportion of hospitalizations to H‐PA teams being admitted from the ER, residing on nonmedicine wards or having an ICU stay are likely a result of our system of assigning admissions to H‐PA teams early during the workday. For example patients on H‐PA teams were more often located on nonmedicine wards as a result of later discharges and bed availability on medicine wards. The difference that deserves special comment is the much higher proportion (13.8% vs. 6.7%) of hospitalizations with an ICU stay on the H‐PA teams. Hospitalizations directly to the ICU were excluded from our study which means that the hospitalizations with an ICU stay in our study were initially admitted to either H‐PA or RES teams and then transferred to the ICU. Transfers out of the ICU usually occur early in the workday when H‐PA teams accepted patients per our admission schedule. These patients may have been preferentially assigned to H‐PA teams, if on returning from the ICU the original team's resident had changed (and the bounce back rule was not in effect). Importantly, the conclusions of our research are not altered on controlling for this difference in the teams by excluding hospitalizations with an ICU stay.

Hospitalizations to H‐PA teams were associated with higher resource utilization if they occurred later in the day or overnight (Figure 2a and b). During these times a transition of care occurred shortly after admission. For a late day admission the H‐PA teams would transfer care for overnight cross cover soon after the admission and for patients admitted overnight as overflow they would assume care of a patient from the nighttime covering physician performing the admission. On the other hand, on RES teams, interns admitting patients overnight continued to care for their patients for part of the following day (30‐hour call). Similar findings of higher resource utilization associated with transfer of care after admission in the daytime11 and nighttime12 have been previously reported. An alternative hypothesis for our findings is that the hospital maybe busier and thus less efficient during times when H‐PA teams had to admit later in the day or accept patients admitted overnight as overflow. Future research to determine the cause of this significant interaction between team assignment and time of admission on resource utilization is important as the large increases in LOS (up to 30%) and charges (up to 50%) noted, could have a potentially large impact if a higher proportion of hospitalizations were affected by this phenomenon.

Our H‐PA teams were assigned equally complex patients as our RES teams, in contrast to previous reports.8, 13 This was accomplished while improving the resident's educational experience and we have previously reported increases in our resident's board pass rates and in‐service training exam scores with that introduction of our H‐PA teams.14 We thus believe that selection of less complex patients to H‐PA teams such as ours is unnecessary and may give them a second tier status in academic settings.

Our report has limitations. It is a retrospective, nonrandomized investigation using a single institution's administrative database and has the limitations of not being able to account for unmeasured confounders, severity of illness, errors in the database, selection bias and has limited generalizability. We measured charges not actual costs,15 but we feel charges are a true reflection of relative resource use when compared between similar patients within a single institution. We also did not account for the readmissions that occur to other hospitals16 and our results do not reflect resource utilization for the healthcare system in total. For example, we could not tell if higher LOS on H‐PA teams resulted in lower readmissions for their patients in all hospitals in the region, which may reveal an overall resource savings. Additionally, we measured in‐hospital mortality and could not capture deaths related to hospital care that may occur shortly after discharge.

ACGME has proposed revised standards that may further restrict resident duty hours when they take effect in July 2011.3 This may lead to further decreases in resident‐based inpatient care. Teaching hospitals will need to continue to develop alternate models for inpatient care that do not depend on house staff. Our findings provide important evidence to inform the development of such models. Our study shows that one such model: PAs paired with hospitalists, accepting admissions early in the workday, with hospitalist coverage over the weekend and nights can care for GM inpatients as complex as those cared for by resident‐based teams without increasing readmission rates, inpatient mortality, or charges but at the cost of slightly higher LOS.

References
  1. ACGME‐Common Program Requirements for Resident Duty Hours. Available at: http://www.acgme.org/acWebsite/dutyHours/dh_ComProgrRequirmentsDutyHours0707.pdf. Accessed July 2010.
  2. Sehgal NL,Shah HM,Parekh VI,Roy CL,Williams MV.Non‐housestaff medicine services in academic centers: models and challenges.J Hosp Med.2008;3(3):247255.
  3. ACGME. Duty Hours: Proposed Standards for Review and comment. Available at: http://acgme‐2010standards.org/pdf/Proposed_Standards. pdf. Accessed July 22,2010.
  4. Agency for Health Care Policy and Research. HCUPnet: A tool for identifying, tracking, and analyzing national hospital statistics. Available at: http://hcup.ahrq.gov/HCUPnet.asp. Accessed July2010.
  5. Simmer TL,Nerenz DR,Rutt WM,Newcomb CS,Benfer DW.A randomized, controlled trial of an attending staff service in general internal medicine.Med Care.1991;29(7 suppl):JS31JS40.
  6. Dhuper S,Choksi S.Replacing an academic internal medicine residency program with a physician assistant‐‐hospitalist model: a Comparative Analysis Study.Am J Med Qual.2009;24(2):132139.
  7. Rhee JV,Ritchie J,Eward AM.Resource use by physician assistant services versus teaching services.JAAPA.2002;15(1):3342.
  8. Roy CL,Liang CL,Lund M, et al.Implementation of a physician assistant/hospitalist service in an academic medical center: impact on efficiency and patient outcomes.J Hosp Med.2008;3(5):361368.
  9. AHRQ. Clinical Classifications Software (CCS) for ICD‐9‐CM. Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/ccs/ccs.jsp#overview. Accessed July2010.
  10. AHRQ. HCUP: Comorbidity Software, Version 3.4.;Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/comorbidity/comorbidity.jsp. Accessed July2010.
  11. Schuberth JL,Elasy TA,Butler J, et al.Effect of short call admission on length of stay and quality of care for acute decompensated heart failure.Circulation.2008;117(20):26372644.
  12. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5(6):501505.
  13. O'Connor AB,Lang VJ,Lurie SJ,Lambert DR,Rudmann A,Robbins B.The effect of nonteaching services on the distribution of inpatient cases for internal medicine residents.Acad Med.2009:84(2):220225.
  14. Singh S,Petkova JH,Gill A, et al.Allowing for better resident education and improving patient care: hospitalist‐physician assistant teams fill in the gaps.J Hosp Med.2007;2[S2]:139.
  15. Finkler SA.The distinction between cost and charges.Ann Intern Med.1982;96(1):102109.
  16. Jencks SF,Williams MV,Coleman EA.Rehospitalizations among patients in the Medicare Fee‐for‐Service Program.N Engl J Med.2009;360(14):14181428.
Article PDF
Issue
Journal of Hospital Medicine - 6(3)
Page Number
122-130
Legacy Keywords
education, outcomes measurement, physician assistant, resident
Sections
Article PDF
Article PDF

In 2003 the Accreditation Council for Graduate Medical Education (ACGME) prescribed residency reform in the form of work hour restrictions without prescribing alternatives to resident based care.1 As a response, many academic medical centers have developed innovative models for providing inpatient care, some of which incorporate Physician Assistants (PAs).2 With further restrictions in resident work hours possible,3 teaching hospitals may increase use of these alternate models to provide inpatient care. Widespread implementation of such new and untested models could impact the care of the approximately 20 million hospitalizations that occur every year in US teaching hospitals.4

Few reports have compared the care delivered by these alternate models with the care provided by traditional resident‐based models of care.58 Roy et al.8 have provided the only recent comparison of a PA‐based model of care with a resident‐based model. They showed lower adjusted costs of inpatient care associated with PA based care but other outcomes were similar to resident‐based teams.

The objective of this study is to provide a valid and usable comparison of the outcomes of a hospitalist‐PA (H‐PA) model of inpatient care with the traditional resident‐based model. This will add to the quantity and quality of the limited research on PA‐based inpatient care, and informs the anticipated increase in the involvement of PAs in this arena.

Methods

Study Design and Setting

We conducted a retrospective cohort study at a 430‐bed urban academic medical center in the Midwestern United States.

Models of General Medical (GM) Inpatient Care at the Study Hospital During the Study Period

In November 2004, as a response to the ACGME‐mandated work hour regulations, we formed 2 Hospitalist‐PA teams (H‐PA) to supplement the 6 preexisting general medicine resident teams (RES).

The H‐PA and RES teams differed in staffing, admitting times and weekend/overnight cross coverage structure (Table 1). There were no predesigned differences between the teams in the ward location of their patients, availability of laboratory/radiology services, specialty consultation, social services/case management resources, nursing resources or documentation requirements for admission, daily care, and discharge.

Differences in Structure and Function Between Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA TeamsRES Teams
Attending physicianAlways a hospitalistHospitalist, non‐hospitalist general internist or rarely a specialist
Attending physician roleSupervisory for some patients (about half) and sole care provider for others.Supervisory for all patients
Team compositionOne attending paired with 1 PAAttending + senior resident + (2) interns + (2‐3) medical students
Rotation schedule  
AttendingEvery 2 weeksEvery 2 weeks
Physician assistantOff on weekends 
House staff & medical students Every month
WeekendNo new admissions & hospitalist manages all patientsAccept new admissions
Admission times (weekdays)7 AM to 3 PMNoon to 7 AM
Source of admissionsEmergency room, clinics, other hospitalsEmergency room, clinics, other hospitals
Number of admissions (weekdays)4‐6 patients per day per teamNoon to 5 PM: 2 teams admit a maximum of 9 patients total
  5 PM to 7 AM: 3 teams admit a maximum 5 patients each.
Overnight coverageroles and responsibilitiesOne in‐house faculty3 on call interns
 Cross‐covering 2 H‐PA teamsCross‐covering 2 teams each
 Performing triageAdmitting up to 5 patients each
 Admitting patients if necessary 
 Assisting residents if necessary 
 General medical consultation 

Admission Schedule for H‐PA or RES Teams

The admitting schedule was designed to decrease the workload of the house staff and to do so specifically during the periods of peak educational activity (morning report, attending‐led teaching rounds, and noon report). A faculty admitting medical officer (AMO) assigned patients strictly based on the time an admission was requested. Importantly, the request for admission preceded the time of actual admission recorded when the patient reached the ward. The time difference between request for admission and actual admission depended on the source of admission and the delay associated with assigning a patient room. The AMO assigned 8 to 12 new patients to the H‐PA teams every weekday between 7 AM and 3 PM and to the RES teams between noon and 7 AM the next day. There was a designed period of overlap from noon to 3 PM during which both H‐PA and RES teams could admit patients. This period allowed for flexibility in assigning patients to either type of team depending on their workload. The AMO did not use patient complexity or teaching value to assign patients.

Exceptions to Admission Schedule

Patients admitted overnight after the on call RES had reached their admission limits were assigned to H‐PA teams the next morning. In addition, recently discharged patients who were readmitted while the discharging hospitalist (H‐PA teams) or the discharging resident (RES teams) was still scheduled for inpatient duties, were assigned back to the discharging team irrespective of the admitting schedule.

The same medicine team cared for a patient from admission to discharge but on transfer to the intensive care unit (ICU), an intensivist led critical care team assumed care. On transfer out of the ICU these patients were assigned back to the original team irrespective of admitting schedulethe so called bounce back rule to promote inpatient continuity of care. But if the residents (RES teams) or the hospitalist (H‐PA teams) had changedthe bounce back rule was no longer in effect and these patients were assigned to a team according to the admission schedule.

Study Population and Study Period

We included all hospitalizations of adult patients to GM teams if both their date of admission and their date of discharge fell within the study period (January 1, 2005 to December 31, 2006). We excluded hospitalizations with admissions during the weekendwhen H‐PA teams did not admit patients; hospitalizations to GM services with transfer to nonGM service (excluding ICU) and hospitalizations involving comanagement with specialty servicesas the contribution of GM teams for these was variable; and hospitalizations of private patients.

Data Collection and Team Assignment

We collected patient data from our hospital's discharge abstract database. This database did not contain team information so to assign teams we matched the discharging attending and the day of discharge to the type of team that the discharging attending was leading that day.

We collected patient age, gender, race, insurance status, zip‐code, primary care provider, source of admission, ward type, time and day of admission, and time and day of discharge for use as independent variables. The time of admission captured in the database was the time of actual admission and not the time the admission was requested.

We grouped the principal diagnosis International Statistical Classification of Diseases and Related Health Problems, 9th edition (ICD‐9) codes into clinically relevant categories using the Clinical Classification Software.9 We created comorbidity measures using Healthcare Cost and Utilization Project Comorbidity Software, version 3.4.10

Outcome Measures

We used length of stay (LOS), charges, readmissions within 7, 14, and 30 days and inpatient mortality as our outcome measures. We calculated LOS by subtracting the discharge day and time from the admission day and time. The LOS included time spent in the ICU. We summed all charges accrued during the entire hospitalization including any stay in the ICU but did not include professional fees. We considered any repeat hospitalization to our hospital within 7, 14, and 30 days following a discharge to be a readmission except that we excluded readmissions for a planned procedure or for inpatient rehabilitation.

Statistical Analysis

Descriptive Analysis

We performed unadjusted descriptive statistics at the level of an individual hospitalization using medians and interquartile ranges for continuous data and frequencies and percentages for categorical data. We used chi‐square tests of association and KruskalWallis analysis of variance to compare H‐PA and RES teams.

Missing Data

Because we lacked data on whether a primary outpatient care provider was available for 284 (2.9%) of our study hospitalizations, we dropped them from our multivariable analyses. We used an arbitrary discharge time of noon for the 11 hospitalizations which did not have a discharge time recorded.

Multivariable Analysis

We used multivariable mixed models to risk adjust for a wide variety of variables. We included age, gender, race, insurance, presence of primary care physician, and total number of comorbidities as fixed effects in all models because of the high face validity of these variables. We then added admission source, ward, time, day of week, discharge day of week, and comorbidity measures one by one as fixed effects, including them only if significant at P < 0.01. For assessing LOS, charges, and readmissions, we added a variable identifying each patient as a random effect to account for multiple admissions for the same patient. We then added variables identifying attending physician, principal diagnostic group, and ZIP code of residence as random effects to account for clustering of hospitalizations within these categories, including them only if significant at P < 0.01. For the model assessing mortality we included variables for attending physician, principal diagnostic group, and ZIP code of residence as random effects if significant at P < 0.01. We log transformed LOS and charges because they were extremely skewed in nature. Readmissions were analyzed after excluding patients who died or were discharged alive within 7, 14, or 30 days of the end of the study period.

Sensitivity Analyses

To assess the influence of LOS outliers, we changed LOS to 6 hours if it was less than 6 hours, and 45 days if it was more than 45 daysa process called winsorizing. We consider winsorizing superior to dropping outliers because it acknowledges that outliers contribute information, but prevent them from being too influential. We chose the 6 hour cut off because we believed that was the minimum time required to admit and then discharge a patient. We chose the upper limit of 45 days on reviewing the frequency distribution for outliers. Similarly, we winsorized charges at the first and 99th percentile after reviewing the frequency distribution for outliers. We then log transformed the winsorized data before analysis.

Inpatient deaths reduce the LOS and charges associated with a hospitalization. Thus excess mortality may provide a false concession in terms of lower LOS or charges. To check if this occurred in our study we repeated the analyses after excluding inpatient deaths.

ICU stays are associated with higher LOS, charges, and mortality. In our model of care, some patients transferred to the ICU are not cared for by the original team on transfer out. Moreover, care in the ICU is not controlled by the team that discharges them. Since this might obscure differences in outcomes achieved by RES vs. H‐PA teams, we repeated these analyses after excluding hospitalizations with an ICU stay.

Since mortality can only occur during 1 hospitalization per patient, we repeated the mortality analysis using only each patient's first admission or last admission and using a randomly selected single admission for each patient.

Subgroup Analysis

To limit the effect of different physician characteristics on H‐PA and RES teams we separately analyzed the hospitalizations under the care of hospitalists who served on both H‐PA and RES teams.

To limit the effect of different admission schedules of H‐PA and RES teams we analyzed the hospitalizations with admission times between 11.00 AM and 4.00 PM. Such hospitalizations were likely to be assigned during the noon to 3 PM period when they could be assigned to either an H‐PA or RES team.

Interactions

Finally we explored interactions between the type of team and the fixed effect variables included in each model.

Statistical Software

We performed the statistical analysis using SAS software version 9.0 for UNIX (SAS Institute, Inc., Cary, NC) and R software (The R Project for Statistical Computing).

This study protocol was approved by the hospital's institutional review board.

Results

Study Population

Of the 52,391 hospitalizations to our hospital during the study period, 13,058 were admitted to general medicine. We excluded 3102 weekend admissions and 209 who met other exclusion criteria. We could not determine the team assignment for 66. Of the remaining 9681 hospitalizations, we assigned 2171 to H‐PA teams and 7510 to RES teams (Figure 1).

Figure 1
Study population (H‐PA, hospitalist‐physician assistant team; RES, traditional resident team).

Descriptive Analysis

We compare patients assigned to H‐PA and RES teams in Table 2. They were similar in age, gender, race, having a primary care provider or not, and insurance status. Clinically, they had similar comorbidities and a similar distribution of common principal diagnoses. Consistent with their admitting schedule, H‐PA teams admitted and discharged more patients earlier in the day and admitted more patients earlier in the work week. Patients cared for by H‐PA teams were admitted from the Emergency Room (ER) less often and were more likely to reside on wards designated as nonmedicine by nursing specialty. Hospitalizations to H‐PA teams more often included an ICU stay.

Characteristics of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA (n = 2171)RES (n = 7510)P Value
  • Abbreviations: CI, confidence interval; ER, emergency room; H‐PA, hospitalist‐physician assistant; ICU, Intensive care unit; RES, traditional resident.

Age   
Mean56.8057.04 
Median56560.15
Interquartile range43‐7243‐73 
Age group (years), n (%)   
< 2010 (0.5)57 (0.8) 
20‐29186 (8.6)632 (8.7) 
30‐39221 (10.2)766 (10.3) 
40‐49387 (17.8)1341 (18.1) 
50‐59434 (20.0)1492 (20.2)0.28
60‐69325 (15.0)974 (12.8) 
70‐79271 (12.5)1035 (13.6) 
80‐89262 (12.0)951(12.3) 
90<75 (3.5)262 (3.4) 
Female, n (%)1175 (54.1)4138 (55.1)0.42
Race, n (%)   
White1282 (59.1)4419 (58.9) 
Black793 (36.5)2754 (36.7)0.98
Other96 (4.4)337 (4.5) 
Primary care provider, n (%)  0.16
Yes1537 (73.2)5451 (74.7) 
Missing: 28471 (3.3)213 (2.8) 
Insurance status, n (%)   
Commercial/worker's comp440 (20.3)1442 (19.2) 
Medicare1017 (46.8)3589 (47.8)0.52
Medicaid/others714 (32.9)2479 (33.0) 
Time of admission, n (%)   
0000‐0259167 (7.7)1068 (14.2) 
0300‐0559244 (11.2)485 (6.5) 
0600‐0859456 (21.0)270 (3.6) 
0900‐1159782 (36.0)1146 (15.3)<0.001
1200‐1459299 (13.8)1750 (23.3) 
1500‐1759155 (7.1)1676 (22.3) 
1800‐235968 (3.1)1115 (14.9) 
Time of discharge, n (%)   
2100‐085936 (1.7)174 (2.3) 
0900‐1159275 (12.7)495 (6.6) 
1200‐1459858 (39.6)2608 (34.8)<0.001
1500‐1759749 (34.6)3122 (41.6) 
1800‐2059249 (11.5)1104 (14.7) 
Missing47 
Day of week of admission, n (%)   
Monday462 (21.3)1549 (20.6) 
Tuesday499 (23.0)1470 (19.6) 
Wednesday430 (19.8)1479 (19.7)0.001
Thursday400 (18.4)1482 (19.7) 
Friday380 (17.5)1530 (20.4) 
Day of week of discharge, n (%)   
Monday207 (9.5)829 (11.0) 
Tuesday268 (12.3)973 (13.0) 
Wednesday334 (15.4)1142 (15.2) 
Thursday362 (16.7)1297 (17.3)0.16
Friday485 (22.3)1523 (20.3) 
Saturday330 (15.2)1165 (15.5) 
Sunday185 (8.5)581 (7.7) 
Admit to non‐medicine wards, n (%)1332 (61.4)2624 (34.9)<0.001
Transfer to ICU (at least once), n (%)299 (13.8)504 (6.7)<0.001
Admit from ER No (%)1663 (76.6)6063 (80.7)<0.001
10 most frequent diagnosis (%)Pneumonia (4.9)Pneumonia (5.5) 
 Congestive heart failure; nonhypertensive (4.2)Congestive heart failure; nonhypertensive (3.9) 
 Sickle cell anemia (3.9)Nonspecific chest pain (3.7) 
 Chronic obstructive pulmonary disease and Bronchiectasis (3.3)Urinary tract infections(3.6) 
 Diabetes mellitus with complications (3.2)Skin and subcutaneous tissue infections (3.3) 
 Urinary tract infections (3.2)Sickle cell anemia (3.3) 
 Asthma (3.0)Pancreatic disorders (not diabetes) (2.8) 
 Nonspecific chest pain (3.0)Asthma (2.8) 
 Pancreatic disorders (not diabetes) (2.9)Chronic obstructive pulmonary disease and Bronchiectasis (2.6) 
 Septicemia (2.2)Diabetes mellitus with complications (2.6) 
Average number of comorbidities mean (95% CI)0.39 (0.37‐0.42)0.38 (0.36‐0.39)0.23

In unadjusted comparisons of outcomes (Table 3), hospitalizations on H‐PA teams had higher lengths of stay and charges than hospitalizations on RES teams, possibly higher inpatient mortality rates but similar unadjusted readmission rates at 7, 14, and 30 days

Unadjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA (n = 2171)RES (n = 7150)% Difference* (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; IQR, interquartile range; LOS, length of stay;

  • On comparing log transformed LOS;

  • RES is reference group.

LOSMedian (IQR)Median (IQR)  
Days3.17 (2.03‐5.30)2.99 (1.80‐5.08)+8.9% (4.71‐13.29%)<0.001
Charges    
US Dollars9390 (6196‐16,239)9044 (6106‐14,805)+5.56% (1.96‐9.28%)0.002
Readmissionsn (%)n (%)Odds Ratio (CI) 
Within 7 days147 (6.96)571 (7.78)0.88 (0.73‐1.06)0.19
Within14 days236 (11.34)924 (12.76)0.87 (0.75‐1.01)0.07
Within 30 days383 (18.91)1436 (20.31)0.91 (0.80‐1.03)0.14
Inpatient deaths39 (1.8)95 (1.3)1.36 (0.90‐2.00)0.06

Multivariable Analysis

LOS

Hospitalizations to H‐PA teams were associated with a 6.73% longer LOS (P = 0.005) (Table 4). This difference persisted when we used the winsorized data (6.45% increase, P = 0.006), excluded inpatient deaths (6.81% increase, P = 0.005), or excluded hospitalizations that involved an ICU stay (6.40%increase, P = 0.011) (Table 5).

Adjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams (RES is the reference group)
 OverallSubgroup: Restricted to Physicians Attending on Both H‐PA and RES Teams*Subgroup: Restricted to Hospitalizations Between 11.00 AM and 4.00 PM
% Difference (CI)P Value% Difference (CI)P Value% Difference (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; LOS, length of stay; OR, odds ratio;

  • Number of observations included in subgroup ranges from 2992 to 3196;

  • Number of observations included in subgroup ranges from 3174 to 3384.

LOS6.73% (1.99% to 11.70%)0.0055.44% (0.65% to 11.91%)0.082.97% (4.47% to 10.98%)0.44
Charges2.75% (1.30% to 6.97%)0.191.55% (3.76% to 7.16%)0.576.45% (0.62% to 14.03%)0.07
Risk of ReadmissionAdjusted OR (95%CI)P ValueAdjusted OR (95% CI)P ValueAdjusted OR (95% CI)P Value
Within 7 days0.88 (0.64‐1.20)0.420.74 (0.40‐1.35)0.320.90 (0.40‐2.00)0.78
Within14 days0.90 (0.69‐1.19)0.460.71 (0.51‐0.99)0.050.87 (0.36‐2.13)0.77
Within 30 days0.89 (0.75‐1.06)0.200.75 (0.51‐1.08)0.120.92 (0.55‐1.54)0.75
Inpatient mortality1.27 (0.82‐1.97)0.281.46 (0.67‐3.17)0.331.14 (0.47‐2.74)0.77
Sensitivity Analysis: Adjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams (RES Is the Reference Group)
 Analysis With Winsorized DataAnalysis After Excluding Inpatient DeathsAnalysis After Excluding Patients With ICU Stays
% Difference (CI)P Value% Difference (CI)P Value% Difference (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; ICU, intensive care unit; LOS, length of stay; OR, odds ratio.

LOS6.45% (4.04 to 8.91%)0.0066.81% (2.03 to 11.80%)0.0056.40% (1.46 to 11.58%)0.011
Charges2.67 (1.27 to 6.76%)0.1872.89% (1.16 to 7.11%)0.1640.74% (3.11 to 4.76%)0.710

Charges

Hospitalizations to H‐PA and RES teams were associated with similar charges (Table 4). The results were similar when we used winsorized data, excluded inpatient deaths or excluded hospitalizations involving an ICU stay (Table 5).

Readmissions

The risk of readmission at 7, 14, and 30 days was similar between hospitalizations to H‐PA and RES teams (Table 4).

Mortality

The risk of inpatient death was similar between all hospitalizations to H‐PA and RES teams or only hospitalizations without an ICU stay (Table 4). The results also remained the same in analyses restricted to first admissions, last admissions, or 1 randomly selected admission per patient.

Sub‐Group Analysis

On restricting the multivariable analyses to the subset of hospitalists who staffed both types of teams (Table 4), the increase in LOS associated with H‐PA care was no longer significant (5.44% higher, P = 0.081). The charges, risk of readmission at 7 and 30 days, and risk of inpatient mortality remained similar. The risk of readmission at 14 days was slightly lower following hospitalizations to H‐PA teams (odds ratio 0.71, 95% confidence interval [CI] 0.51‐0.99).

The increase in LOS associated with H‐PA care was further attenuated in analyses of the subset of admissions between 11.00 AM and 4.00 PM (2.97% higher, P = 0.444). The difference in charges approached significance (6.45% higher, P = 0.07), but risk of readmission at 7, 14, and 30 days and risk of inpatient mortality were no different (Table 4).

Interactions

On adding interaction terms between the team assignment and the fixed effect variables in each model we detected that the effect of H‐PA care on LOS (P < 0.001) and charges (P < 0.001) varied by time of admission (Figure 2a and b). Hospitalizations to H‐PA teams from 6.00 PM to 6.00 AM had greater relative increases in LOS as compared to hospitalizations to RES teams during those times. Similarly, hospitalizations during the period 3.00 PM to 3.00 AM had relatively higher charges associated with H‐PA care compared to RES care.

Figure 2
(A) Relative difference in length of stay associated with care by H‐PA teams by times of admission (in percent change with RES as reference). (B) Relative difference in charges associated with care by H‐PA teams by time of admission (in percent with RES as reference). Abbreviations: H‐PA, hospitalist‐physician assistant team; RES traditional resident team. [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.]

Discussion

We found that hospitalizations to our H‐PA teams had longer LOS but similar charges, readmission rates, and mortality as compared to traditional resident‐based teams. These findings were robust to multiple sensitivity and subgroup analyses but when we examined times when both types of teams could receive admissions, the difference in LOS was markedly attenuated and nonsignificant.

We note that most prior reports comparing PA‐based models of inpatient care predate the ACGME work hour regulations. In a randomized control trial (1987‐1988) Simmer et al.5 showed lower lengths of stay and charges but possibly higher risk of readmission for PA based teams as compared to resident based teams. Van Rhee et al.7 conducted a nonrandomized retrospective cohort study (1994‐1995) using administrative data which showed lower resource utilization for PA‐based inpatient care. Our results from 2005 to 2006 reflect the important changes in the organization and delivery of inpatient care since these previous investigations.

Roy et al.8 report the only previously published comparison of PA and resident based GM inpatient care after the ACGME mandated work hour regulations. They found PA‐based care was associated with lower costs, whereas we found similar charges for admissions to RES and H‐PA teams. They also found that LOS was similar for PA and resident‐based care, while we found a higher LOS for admissions to our H‐PA team. We note that although the design of Roy's study was similar to our own, patients cared for by PA‐based teams were geographically localized in their model. This may contribute to the differences in results noted between our studies.

Despite no designed differences in patients assigned to either type of team other than time of admission we noted some differences between the H‐PA and RES teams in the descriptive analysis. These differences, such as a higher proportion of hospitalizations to H‐PA teams being admitted from the ER, residing on nonmedicine wards or having an ICU stay are likely a result of our system of assigning admissions to H‐PA teams early during the workday. For example patients on H‐PA teams were more often located on nonmedicine wards as a result of later discharges and bed availability on medicine wards. The difference that deserves special comment is the much higher proportion (13.8% vs. 6.7%) of hospitalizations with an ICU stay on the H‐PA teams. Hospitalizations directly to the ICU were excluded from our study which means that the hospitalizations with an ICU stay in our study were initially admitted to either H‐PA or RES teams and then transferred to the ICU. Transfers out of the ICU usually occur early in the workday when H‐PA teams accepted patients per our admission schedule. These patients may have been preferentially assigned to H‐PA teams, if on returning from the ICU the original team's resident had changed (and the bounce back rule was not in effect). Importantly, the conclusions of our research are not altered on controlling for this difference in the teams by excluding hospitalizations with an ICU stay.

Hospitalizations to H‐PA teams were associated with higher resource utilization if they occurred later in the day or overnight (Figure 2a and b). During these times a transition of care occurred shortly after admission. For a late day admission the H‐PA teams would transfer care for overnight cross cover soon after the admission and for patients admitted overnight as overflow they would assume care of a patient from the nighttime covering physician performing the admission. On the other hand, on RES teams, interns admitting patients overnight continued to care for their patients for part of the following day (30‐hour call). Similar findings of higher resource utilization associated with transfer of care after admission in the daytime11 and nighttime12 have been previously reported. An alternative hypothesis for our findings is that the hospital maybe busier and thus less efficient during times when H‐PA teams had to admit later in the day or accept patients admitted overnight as overflow. Future research to determine the cause of this significant interaction between team assignment and time of admission on resource utilization is important as the large increases in LOS (up to 30%) and charges (up to 50%) noted, could have a potentially large impact if a higher proportion of hospitalizations were affected by this phenomenon.

Our H‐PA teams were assigned equally complex patients as our RES teams, in contrast to previous reports.8, 13 This was accomplished while improving the resident's educational experience and we have previously reported increases in our resident's board pass rates and in‐service training exam scores with that introduction of our H‐PA teams.14 We thus believe that selection of less complex patients to H‐PA teams such as ours is unnecessary and may give them a second tier status in academic settings.

Our report has limitations. It is a retrospective, nonrandomized investigation using a single institution's administrative database and has the limitations of not being able to account for unmeasured confounders, severity of illness, errors in the database, selection bias and has limited generalizability. We measured charges not actual costs,15 but we feel charges are a true reflection of relative resource use when compared between similar patients within a single institution. We also did not account for the readmissions that occur to other hospitals16 and our results do not reflect resource utilization for the healthcare system in total. For example, we could not tell if higher LOS on H‐PA teams resulted in lower readmissions for their patients in all hospitals in the region, which may reveal an overall resource savings. Additionally, we measured in‐hospital mortality and could not capture deaths related to hospital care that may occur shortly after discharge.

ACGME has proposed revised standards that may further restrict resident duty hours when they take effect in July 2011.3 This may lead to further decreases in resident‐based inpatient care. Teaching hospitals will need to continue to develop alternate models for inpatient care that do not depend on house staff. Our findings provide important evidence to inform the development of such models. Our study shows that one such model: PAs paired with hospitalists, accepting admissions early in the workday, with hospitalist coverage over the weekend and nights can care for GM inpatients as complex as those cared for by resident‐based teams without increasing readmission rates, inpatient mortality, or charges but at the cost of slightly higher LOS.

In 2003 the Accreditation Council for Graduate Medical Education (ACGME) prescribed residency reform in the form of work hour restrictions without prescribing alternatives to resident based care.1 As a response, many academic medical centers have developed innovative models for providing inpatient care, some of which incorporate Physician Assistants (PAs).2 With further restrictions in resident work hours possible,3 teaching hospitals may increase use of these alternate models to provide inpatient care. Widespread implementation of such new and untested models could impact the care of the approximately 20 million hospitalizations that occur every year in US teaching hospitals.4

Few reports have compared the care delivered by these alternate models with the care provided by traditional resident‐based models of care.58 Roy et al.8 have provided the only recent comparison of a PA‐based model of care with a resident‐based model. They showed lower adjusted costs of inpatient care associated with PA based care but other outcomes were similar to resident‐based teams.

The objective of this study is to provide a valid and usable comparison of the outcomes of a hospitalist‐PA (H‐PA) model of inpatient care with the traditional resident‐based model. This will add to the quantity and quality of the limited research on PA‐based inpatient care, and informs the anticipated increase in the involvement of PAs in this arena.

Methods

Study Design and Setting

We conducted a retrospective cohort study at a 430‐bed urban academic medical center in the Midwestern United States.

Models of General Medical (GM) Inpatient Care at the Study Hospital During the Study Period

In November 2004, as a response to the ACGME‐mandated work hour regulations, we formed 2 Hospitalist‐PA teams (H‐PA) to supplement the 6 preexisting general medicine resident teams (RES).

The H‐PA and RES teams differed in staffing, admitting times and weekend/overnight cross coverage structure (Table 1). There were no predesigned differences between the teams in the ward location of their patients, availability of laboratory/radiology services, specialty consultation, social services/case management resources, nursing resources or documentation requirements for admission, daily care, and discharge.

Differences in Structure and Function Between Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA TeamsRES Teams
Attending physicianAlways a hospitalistHospitalist, non‐hospitalist general internist or rarely a specialist
Attending physician roleSupervisory for some patients (about half) and sole care provider for others.Supervisory for all patients
Team compositionOne attending paired with 1 PAAttending + senior resident + (2) interns + (2‐3) medical students
Rotation schedule  
AttendingEvery 2 weeksEvery 2 weeks
Physician assistantOff on weekends 
House staff & medical students Every month
WeekendNo new admissions & hospitalist manages all patientsAccept new admissions
Admission times (weekdays)7 AM to 3 PMNoon to 7 AM
Source of admissionsEmergency room, clinics, other hospitalsEmergency room, clinics, other hospitals
Number of admissions (weekdays)4‐6 patients per day per teamNoon to 5 PM: 2 teams admit a maximum of 9 patients total
  5 PM to 7 AM: 3 teams admit a maximum 5 patients each.
Overnight coverageroles and responsibilitiesOne in‐house faculty3 on call interns
 Cross‐covering 2 H‐PA teamsCross‐covering 2 teams each
 Performing triageAdmitting up to 5 patients each
 Admitting patients if necessary 
 Assisting residents if necessary 
 General medical consultation 

Admission Schedule for H‐PA or RES Teams

The admitting schedule was designed to decrease the workload of the house staff and to do so specifically during the periods of peak educational activity (morning report, attending‐led teaching rounds, and noon report). A faculty admitting medical officer (AMO) assigned patients strictly based on the time an admission was requested. Importantly, the request for admission preceded the time of actual admission recorded when the patient reached the ward. The time difference between request for admission and actual admission depended on the source of admission and the delay associated with assigning a patient room. The AMO assigned 8 to 12 new patients to the H‐PA teams every weekday between 7 AM and 3 PM and to the RES teams between noon and 7 AM the next day. There was a designed period of overlap from noon to 3 PM during which both H‐PA and RES teams could admit patients. This period allowed for flexibility in assigning patients to either type of team depending on their workload. The AMO did not use patient complexity or teaching value to assign patients.

Exceptions to Admission Schedule

Patients admitted overnight after the on call RES had reached their admission limits were assigned to H‐PA teams the next morning. In addition, recently discharged patients who were readmitted while the discharging hospitalist (H‐PA teams) or the discharging resident (RES teams) was still scheduled for inpatient duties, were assigned back to the discharging team irrespective of the admitting schedule.

The same medicine team cared for a patient from admission to discharge but on transfer to the intensive care unit (ICU), an intensivist led critical care team assumed care. On transfer out of the ICU these patients were assigned back to the original team irrespective of admitting schedulethe so called bounce back rule to promote inpatient continuity of care. But if the residents (RES teams) or the hospitalist (H‐PA teams) had changedthe bounce back rule was no longer in effect and these patients were assigned to a team according to the admission schedule.

Study Population and Study Period

We included all hospitalizations of adult patients to GM teams if both their date of admission and their date of discharge fell within the study period (January 1, 2005 to December 31, 2006). We excluded hospitalizations with admissions during the weekendwhen H‐PA teams did not admit patients; hospitalizations to GM services with transfer to nonGM service (excluding ICU) and hospitalizations involving comanagement with specialty servicesas the contribution of GM teams for these was variable; and hospitalizations of private patients.

Data Collection and Team Assignment

We collected patient data from our hospital's discharge abstract database. This database did not contain team information so to assign teams we matched the discharging attending and the day of discharge to the type of team that the discharging attending was leading that day.

We collected patient age, gender, race, insurance status, zip‐code, primary care provider, source of admission, ward type, time and day of admission, and time and day of discharge for use as independent variables. The time of admission captured in the database was the time of actual admission and not the time the admission was requested.

We grouped the principal diagnosis International Statistical Classification of Diseases and Related Health Problems, 9th edition (ICD‐9) codes into clinically relevant categories using the Clinical Classification Software.9 We created comorbidity measures using Healthcare Cost and Utilization Project Comorbidity Software, version 3.4.10

Outcome Measures

We used length of stay (LOS), charges, readmissions within 7, 14, and 30 days and inpatient mortality as our outcome measures. We calculated LOS by subtracting the discharge day and time from the admission day and time. The LOS included time spent in the ICU. We summed all charges accrued during the entire hospitalization including any stay in the ICU but did not include professional fees. We considered any repeat hospitalization to our hospital within 7, 14, and 30 days following a discharge to be a readmission except that we excluded readmissions for a planned procedure or for inpatient rehabilitation.

Statistical Analysis

Descriptive Analysis

We performed unadjusted descriptive statistics at the level of an individual hospitalization using medians and interquartile ranges for continuous data and frequencies and percentages for categorical data. We used chi‐square tests of association and KruskalWallis analysis of variance to compare H‐PA and RES teams.

Missing Data

Because we lacked data on whether a primary outpatient care provider was available for 284 (2.9%) of our study hospitalizations, we dropped them from our multivariable analyses. We used an arbitrary discharge time of noon for the 11 hospitalizations which did not have a discharge time recorded.

Multivariable Analysis

We used multivariable mixed models to risk adjust for a wide variety of variables. We included age, gender, race, insurance, presence of primary care physician, and total number of comorbidities as fixed effects in all models because of the high face validity of these variables. We then added admission source, ward, time, day of week, discharge day of week, and comorbidity measures one by one as fixed effects, including them only if significant at P < 0.01. For assessing LOS, charges, and readmissions, we added a variable identifying each patient as a random effect to account for multiple admissions for the same patient. We then added variables identifying attending physician, principal diagnostic group, and ZIP code of residence as random effects to account for clustering of hospitalizations within these categories, including them only if significant at P < 0.01. For the model assessing mortality we included variables for attending physician, principal diagnostic group, and ZIP code of residence as random effects if significant at P < 0.01. We log transformed LOS and charges because they were extremely skewed in nature. Readmissions were analyzed after excluding patients who died or were discharged alive within 7, 14, or 30 days of the end of the study period.

Sensitivity Analyses

To assess the influence of LOS outliers, we changed LOS to 6 hours if it was less than 6 hours, and 45 days if it was more than 45 daysa process called winsorizing. We consider winsorizing superior to dropping outliers because it acknowledges that outliers contribute information, but prevent them from being too influential. We chose the 6 hour cut off because we believed that was the minimum time required to admit and then discharge a patient. We chose the upper limit of 45 days on reviewing the frequency distribution for outliers. Similarly, we winsorized charges at the first and 99th percentile after reviewing the frequency distribution for outliers. We then log transformed the winsorized data before analysis.

Inpatient deaths reduce the LOS and charges associated with a hospitalization. Thus excess mortality may provide a false concession in terms of lower LOS or charges. To check if this occurred in our study we repeated the analyses after excluding inpatient deaths.

ICU stays are associated with higher LOS, charges, and mortality. In our model of care, some patients transferred to the ICU are not cared for by the original team on transfer out. Moreover, care in the ICU is not controlled by the team that discharges them. Since this might obscure differences in outcomes achieved by RES vs. H‐PA teams, we repeated these analyses after excluding hospitalizations with an ICU stay.

Since mortality can only occur during 1 hospitalization per patient, we repeated the mortality analysis using only each patient's first admission or last admission and using a randomly selected single admission for each patient.

Subgroup Analysis

To limit the effect of different physician characteristics on H‐PA and RES teams we separately analyzed the hospitalizations under the care of hospitalists who served on both H‐PA and RES teams.

To limit the effect of different admission schedules of H‐PA and RES teams we analyzed the hospitalizations with admission times between 11.00 AM and 4.00 PM. Such hospitalizations were likely to be assigned during the noon to 3 PM period when they could be assigned to either an H‐PA or RES team.

Interactions

Finally we explored interactions between the type of team and the fixed effect variables included in each model.

Statistical Software

We performed the statistical analysis using SAS software version 9.0 for UNIX (SAS Institute, Inc., Cary, NC) and R software (The R Project for Statistical Computing).

This study protocol was approved by the hospital's institutional review board.

Results

Study Population

Of the 52,391 hospitalizations to our hospital during the study period, 13,058 were admitted to general medicine. We excluded 3102 weekend admissions and 209 who met other exclusion criteria. We could not determine the team assignment for 66. Of the remaining 9681 hospitalizations, we assigned 2171 to H‐PA teams and 7510 to RES teams (Figure 1).

Figure 1
Study population (H‐PA, hospitalist‐physician assistant team; RES, traditional resident team).

Descriptive Analysis

We compare patients assigned to H‐PA and RES teams in Table 2. They were similar in age, gender, race, having a primary care provider or not, and insurance status. Clinically, they had similar comorbidities and a similar distribution of common principal diagnoses. Consistent with their admitting schedule, H‐PA teams admitted and discharged more patients earlier in the day and admitted more patients earlier in the work week. Patients cared for by H‐PA teams were admitted from the Emergency Room (ER) less often and were more likely to reside on wards designated as nonmedicine by nursing specialty. Hospitalizations to H‐PA teams more often included an ICU stay.

Characteristics of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA (n = 2171)RES (n = 7510)P Value
  • Abbreviations: CI, confidence interval; ER, emergency room; H‐PA, hospitalist‐physician assistant; ICU, Intensive care unit; RES, traditional resident.

Age   
Mean56.8057.04 
Median56560.15
Interquartile range43‐7243‐73 
Age group (years), n (%)   
< 2010 (0.5)57 (0.8) 
20‐29186 (8.6)632 (8.7) 
30‐39221 (10.2)766 (10.3) 
40‐49387 (17.8)1341 (18.1) 
50‐59434 (20.0)1492 (20.2)0.28
60‐69325 (15.0)974 (12.8) 
70‐79271 (12.5)1035 (13.6) 
80‐89262 (12.0)951(12.3) 
90<75 (3.5)262 (3.4) 
Female, n (%)1175 (54.1)4138 (55.1)0.42
Race, n (%)   
White1282 (59.1)4419 (58.9) 
Black793 (36.5)2754 (36.7)0.98
Other96 (4.4)337 (4.5) 
Primary care provider, n (%)  0.16
Yes1537 (73.2)5451 (74.7) 
Missing: 28471 (3.3)213 (2.8) 
Insurance status, n (%)   
Commercial/worker's comp440 (20.3)1442 (19.2) 
Medicare1017 (46.8)3589 (47.8)0.52
Medicaid/others714 (32.9)2479 (33.0) 
Time of admission, n (%)   
0000‐0259167 (7.7)1068 (14.2) 
0300‐0559244 (11.2)485 (6.5) 
0600‐0859456 (21.0)270 (3.6) 
0900‐1159782 (36.0)1146 (15.3)<0.001
1200‐1459299 (13.8)1750 (23.3) 
1500‐1759155 (7.1)1676 (22.3) 
1800‐235968 (3.1)1115 (14.9) 
Time of discharge, n (%)   
2100‐085936 (1.7)174 (2.3) 
0900‐1159275 (12.7)495 (6.6) 
1200‐1459858 (39.6)2608 (34.8)<0.001
1500‐1759749 (34.6)3122 (41.6) 
1800‐2059249 (11.5)1104 (14.7) 
Missing47 
Day of week of admission, n (%)   
Monday462 (21.3)1549 (20.6) 
Tuesday499 (23.0)1470 (19.6) 
Wednesday430 (19.8)1479 (19.7)0.001
Thursday400 (18.4)1482 (19.7) 
Friday380 (17.5)1530 (20.4) 
Day of week of discharge, n (%)   
Monday207 (9.5)829 (11.0) 
Tuesday268 (12.3)973 (13.0) 
Wednesday334 (15.4)1142 (15.2) 
Thursday362 (16.7)1297 (17.3)0.16
Friday485 (22.3)1523 (20.3) 
Saturday330 (15.2)1165 (15.5) 
Sunday185 (8.5)581 (7.7) 
Admit to non‐medicine wards, n (%)1332 (61.4)2624 (34.9)<0.001
Transfer to ICU (at least once), n (%)299 (13.8)504 (6.7)<0.001
Admit from ER No (%)1663 (76.6)6063 (80.7)<0.001
10 most frequent diagnosis (%)Pneumonia (4.9)Pneumonia (5.5) 
 Congestive heart failure; nonhypertensive (4.2)Congestive heart failure; nonhypertensive (3.9) 
 Sickle cell anemia (3.9)Nonspecific chest pain (3.7) 
 Chronic obstructive pulmonary disease and Bronchiectasis (3.3)Urinary tract infections(3.6) 
 Diabetes mellitus with complications (3.2)Skin and subcutaneous tissue infections (3.3) 
 Urinary tract infections (3.2)Sickle cell anemia (3.3) 
 Asthma (3.0)Pancreatic disorders (not diabetes) (2.8) 
 Nonspecific chest pain (3.0)Asthma (2.8) 
 Pancreatic disorders (not diabetes) (2.9)Chronic obstructive pulmonary disease and Bronchiectasis (2.6) 
 Septicemia (2.2)Diabetes mellitus with complications (2.6) 
Average number of comorbidities mean (95% CI)0.39 (0.37‐0.42)0.38 (0.36‐0.39)0.23

In unadjusted comparisons of outcomes (Table 3), hospitalizations on H‐PA teams had higher lengths of stay and charges than hospitalizations on RES teams, possibly higher inpatient mortality rates but similar unadjusted readmission rates at 7, 14, and 30 days

Unadjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams
 H‐PA (n = 2171)RES (n = 7150)% Difference* (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; IQR, interquartile range; LOS, length of stay;

  • On comparing log transformed LOS;

  • RES is reference group.

LOSMedian (IQR)Median (IQR)  
Days3.17 (2.03‐5.30)2.99 (1.80‐5.08)+8.9% (4.71‐13.29%)<0.001
Charges    
US Dollars9390 (6196‐16,239)9044 (6106‐14,805)+5.56% (1.96‐9.28%)0.002
Readmissionsn (%)n (%)Odds Ratio (CI) 
Within 7 days147 (6.96)571 (7.78)0.88 (0.73‐1.06)0.19
Within14 days236 (11.34)924 (12.76)0.87 (0.75‐1.01)0.07
Within 30 days383 (18.91)1436 (20.31)0.91 (0.80‐1.03)0.14
Inpatient deaths39 (1.8)95 (1.3)1.36 (0.90‐2.00)0.06

Multivariable Analysis

LOS

Hospitalizations to H‐PA teams were associated with a 6.73% longer LOS (P = 0.005) (Table 4). This difference persisted when we used the winsorized data (6.45% increase, P = 0.006), excluded inpatient deaths (6.81% increase, P = 0.005), or excluded hospitalizations that involved an ICU stay (6.40%increase, P = 0.011) (Table 5).

Adjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams (RES is the reference group)
 OverallSubgroup: Restricted to Physicians Attending on Both H‐PA and RES Teams*Subgroup: Restricted to Hospitalizations Between 11.00 AM and 4.00 PM
% Difference (CI)P Value% Difference (CI)P Value% Difference (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; LOS, length of stay; OR, odds ratio;

  • Number of observations included in subgroup ranges from 2992 to 3196;

  • Number of observations included in subgroup ranges from 3174 to 3384.

LOS6.73% (1.99% to 11.70%)0.0055.44% (0.65% to 11.91%)0.082.97% (4.47% to 10.98%)0.44
Charges2.75% (1.30% to 6.97%)0.191.55% (3.76% to 7.16%)0.576.45% (0.62% to 14.03%)0.07
Risk of ReadmissionAdjusted OR (95%CI)P ValueAdjusted OR (95% CI)P ValueAdjusted OR (95% CI)P Value
Within 7 days0.88 (0.64‐1.20)0.420.74 (0.40‐1.35)0.320.90 (0.40‐2.00)0.78
Within14 days0.90 (0.69‐1.19)0.460.71 (0.51‐0.99)0.050.87 (0.36‐2.13)0.77
Within 30 days0.89 (0.75‐1.06)0.200.75 (0.51‐1.08)0.120.92 (0.55‐1.54)0.75
Inpatient mortality1.27 (0.82‐1.97)0.281.46 (0.67‐3.17)0.331.14 (0.47‐2.74)0.77
Sensitivity Analysis: Adjusted Comparison of Outcomes of Hospitalization to Hospitalist‐Physician Assistant (H‐PA) and Traditional Resident (RES) Teams (RES Is the Reference Group)
 Analysis With Winsorized DataAnalysis After Excluding Inpatient DeathsAnalysis After Excluding Patients With ICU Stays
% Difference (CI)P Value% Difference (CI)P Value% Difference (CI)P Value
  • Abbreviations: CI, 95% confidence intervals; ICU, intensive care unit; LOS, length of stay; OR, odds ratio.

LOS6.45% (4.04 to 8.91%)0.0066.81% (2.03 to 11.80%)0.0056.40% (1.46 to 11.58%)0.011
Charges2.67 (1.27 to 6.76%)0.1872.89% (1.16 to 7.11%)0.1640.74% (3.11 to 4.76%)0.710

Charges

Hospitalizations to H‐PA and RES teams were associated with similar charges (Table 4). The results were similar when we used winsorized data, excluded inpatient deaths or excluded hospitalizations involving an ICU stay (Table 5).

Readmissions

The risk of readmission at 7, 14, and 30 days was similar between hospitalizations to H‐PA and RES teams (Table 4).

Mortality

The risk of inpatient death was similar between all hospitalizations to H‐PA and RES teams or only hospitalizations without an ICU stay (Table 4). The results also remained the same in analyses restricted to first admissions, last admissions, or 1 randomly selected admission per patient.

Sub‐Group Analysis

On restricting the multivariable analyses to the subset of hospitalists who staffed both types of teams (Table 4), the increase in LOS associated with H‐PA care was no longer significant (5.44% higher, P = 0.081). The charges, risk of readmission at 7 and 30 days, and risk of inpatient mortality remained similar. The risk of readmission at 14 days was slightly lower following hospitalizations to H‐PA teams (odds ratio 0.71, 95% confidence interval [CI] 0.51‐0.99).

The increase in LOS associated with H‐PA care was further attenuated in analyses of the subset of admissions between 11.00 AM and 4.00 PM (2.97% higher, P = 0.444). The difference in charges approached significance (6.45% higher, P = 0.07), but risk of readmission at 7, 14, and 30 days and risk of inpatient mortality were no different (Table 4).

Interactions

On adding interaction terms between the team assignment and the fixed effect variables in each model we detected that the effect of H‐PA care on LOS (P < 0.001) and charges (P < 0.001) varied by time of admission (Figure 2a and b). Hospitalizations to H‐PA teams from 6.00 PM to 6.00 AM had greater relative increases in LOS as compared to hospitalizations to RES teams during those times. Similarly, hospitalizations during the period 3.00 PM to 3.00 AM had relatively higher charges associated with H‐PA care compared to RES care.

Figure 2
(A) Relative difference in length of stay associated with care by H‐PA teams by times of admission (in percent change with RES as reference). (B) Relative difference in charges associated with care by H‐PA teams by time of admission (in percent with RES as reference). Abbreviations: H‐PA, hospitalist‐physician assistant team; RES traditional resident team. [Color figure can be viewed in the online issue, which is available at wileyonlinelibrary.com.]

Discussion

We found that hospitalizations to our H‐PA teams had longer LOS but similar charges, readmission rates, and mortality as compared to traditional resident‐based teams. These findings were robust to multiple sensitivity and subgroup analyses but when we examined times when both types of teams could receive admissions, the difference in LOS was markedly attenuated and nonsignificant.

We note that most prior reports comparing PA‐based models of inpatient care predate the ACGME work hour regulations. In a randomized control trial (1987‐1988) Simmer et al.5 showed lower lengths of stay and charges but possibly higher risk of readmission for PA based teams as compared to resident based teams. Van Rhee et al.7 conducted a nonrandomized retrospective cohort study (1994‐1995) using administrative data which showed lower resource utilization for PA‐based inpatient care. Our results from 2005 to 2006 reflect the important changes in the organization and delivery of inpatient care since these previous investigations.

Roy et al.8 report the only previously published comparison of PA and resident based GM inpatient care after the ACGME mandated work hour regulations. They found PA‐based care was associated with lower costs, whereas we found similar charges for admissions to RES and H‐PA teams. They also found that LOS was similar for PA and resident‐based care, while we found a higher LOS for admissions to our H‐PA team. We note that although the design of Roy's study was similar to our own, patients cared for by PA‐based teams were geographically localized in their model. This may contribute to the differences in results noted between our studies.

Despite no designed differences in patients assigned to either type of team other than time of admission we noted some differences between the H‐PA and RES teams in the descriptive analysis. These differences, such as a higher proportion of hospitalizations to H‐PA teams being admitted from the ER, residing on nonmedicine wards or having an ICU stay are likely a result of our system of assigning admissions to H‐PA teams early during the workday. For example patients on H‐PA teams were more often located on nonmedicine wards as a result of later discharges and bed availability on medicine wards. The difference that deserves special comment is the much higher proportion (13.8% vs. 6.7%) of hospitalizations with an ICU stay on the H‐PA teams. Hospitalizations directly to the ICU were excluded from our study which means that the hospitalizations with an ICU stay in our study were initially admitted to either H‐PA or RES teams and then transferred to the ICU. Transfers out of the ICU usually occur early in the workday when H‐PA teams accepted patients per our admission schedule. These patients may have been preferentially assigned to H‐PA teams, if on returning from the ICU the original team's resident had changed (and the bounce back rule was not in effect). Importantly, the conclusions of our research are not altered on controlling for this difference in the teams by excluding hospitalizations with an ICU stay.

Hospitalizations to H‐PA teams were associated with higher resource utilization if they occurred later in the day or overnight (Figure 2a and b). During these times a transition of care occurred shortly after admission. For a late day admission the H‐PA teams would transfer care for overnight cross cover soon after the admission and for patients admitted overnight as overflow they would assume care of a patient from the nighttime covering physician performing the admission. On the other hand, on RES teams, interns admitting patients overnight continued to care for their patients for part of the following day (30‐hour call). Similar findings of higher resource utilization associated with transfer of care after admission in the daytime11 and nighttime12 have been previously reported. An alternative hypothesis for our findings is that the hospital maybe busier and thus less efficient during times when H‐PA teams had to admit later in the day or accept patients admitted overnight as overflow. Future research to determine the cause of this significant interaction between team assignment and time of admission on resource utilization is important as the large increases in LOS (up to 30%) and charges (up to 50%) noted, could have a potentially large impact if a higher proportion of hospitalizations were affected by this phenomenon.

Our H‐PA teams were assigned equally complex patients as our RES teams, in contrast to previous reports.8, 13 This was accomplished while improving the resident's educational experience and we have previously reported increases in our resident's board pass rates and in‐service training exam scores with that introduction of our H‐PA teams.14 We thus believe that selection of less complex patients to H‐PA teams such as ours is unnecessary and may give them a second tier status in academic settings.

Our report has limitations. It is a retrospective, nonrandomized investigation using a single institution's administrative database and has the limitations of not being able to account for unmeasured confounders, severity of illness, errors in the database, selection bias and has limited generalizability. We measured charges not actual costs,15 but we feel charges are a true reflection of relative resource use when compared between similar patients within a single institution. We also did not account for the readmissions that occur to other hospitals16 and our results do not reflect resource utilization for the healthcare system in total. For example, we could not tell if higher LOS on H‐PA teams resulted in lower readmissions for their patients in all hospitals in the region, which may reveal an overall resource savings. Additionally, we measured in‐hospital mortality and could not capture deaths related to hospital care that may occur shortly after discharge.

ACGME has proposed revised standards that may further restrict resident duty hours when they take effect in July 2011.3 This may lead to further decreases in resident‐based inpatient care. Teaching hospitals will need to continue to develop alternate models for inpatient care that do not depend on house staff. Our findings provide important evidence to inform the development of such models. Our study shows that one such model: PAs paired with hospitalists, accepting admissions early in the workday, with hospitalist coverage over the weekend and nights can care for GM inpatients as complex as those cared for by resident‐based teams without increasing readmission rates, inpatient mortality, or charges but at the cost of slightly higher LOS.

References
  1. ACGME‐Common Program Requirements for Resident Duty Hours. Available at: http://www.acgme.org/acWebsite/dutyHours/dh_ComProgrRequirmentsDutyHours0707.pdf. Accessed July 2010.
  2. Sehgal NL,Shah HM,Parekh VI,Roy CL,Williams MV.Non‐housestaff medicine services in academic centers: models and challenges.J Hosp Med.2008;3(3):247255.
  3. ACGME. Duty Hours: Proposed Standards for Review and comment. Available at: http://acgme‐2010standards.org/pdf/Proposed_Standards. pdf. Accessed July 22,2010.
  4. Agency for Health Care Policy and Research. HCUPnet: A tool for identifying, tracking, and analyzing national hospital statistics. Available at: http://hcup.ahrq.gov/HCUPnet.asp. Accessed July2010.
  5. Simmer TL,Nerenz DR,Rutt WM,Newcomb CS,Benfer DW.A randomized, controlled trial of an attending staff service in general internal medicine.Med Care.1991;29(7 suppl):JS31JS40.
  6. Dhuper S,Choksi S.Replacing an academic internal medicine residency program with a physician assistant‐‐hospitalist model: a Comparative Analysis Study.Am J Med Qual.2009;24(2):132139.
  7. Rhee JV,Ritchie J,Eward AM.Resource use by physician assistant services versus teaching services.JAAPA.2002;15(1):3342.
  8. Roy CL,Liang CL,Lund M, et al.Implementation of a physician assistant/hospitalist service in an academic medical center: impact on efficiency and patient outcomes.J Hosp Med.2008;3(5):361368.
  9. AHRQ. Clinical Classifications Software (CCS) for ICD‐9‐CM. Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/ccs/ccs.jsp#overview. Accessed July2010.
  10. AHRQ. HCUP: Comorbidity Software, Version 3.4.;Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/comorbidity/comorbidity.jsp. Accessed July2010.
  11. Schuberth JL,Elasy TA,Butler J, et al.Effect of short call admission on length of stay and quality of care for acute decompensated heart failure.Circulation.2008;117(20):26372644.
  12. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5(6):501505.
  13. O'Connor AB,Lang VJ,Lurie SJ,Lambert DR,Rudmann A,Robbins B.The effect of nonteaching services on the distribution of inpatient cases for internal medicine residents.Acad Med.2009:84(2):220225.
  14. Singh S,Petkova JH,Gill A, et al.Allowing for better resident education and improving patient care: hospitalist‐physician assistant teams fill in the gaps.J Hosp Med.2007;2[S2]:139.
  15. Finkler SA.The distinction between cost and charges.Ann Intern Med.1982;96(1):102109.
  16. Jencks SF,Williams MV,Coleman EA.Rehospitalizations among patients in the Medicare Fee‐for‐Service Program.N Engl J Med.2009;360(14):14181428.
References
  1. ACGME‐Common Program Requirements for Resident Duty Hours. Available at: http://www.acgme.org/acWebsite/dutyHours/dh_ComProgrRequirmentsDutyHours0707.pdf. Accessed July 2010.
  2. Sehgal NL,Shah HM,Parekh VI,Roy CL,Williams MV.Non‐housestaff medicine services in academic centers: models and challenges.J Hosp Med.2008;3(3):247255.
  3. ACGME. Duty Hours: Proposed Standards for Review and comment. Available at: http://acgme‐2010standards.org/pdf/Proposed_Standards. pdf. Accessed July 22,2010.
  4. Agency for Health Care Policy and Research. HCUPnet: A tool for identifying, tracking, and analyzing national hospital statistics. Available at: http://hcup.ahrq.gov/HCUPnet.asp. Accessed July2010.
  5. Simmer TL,Nerenz DR,Rutt WM,Newcomb CS,Benfer DW.A randomized, controlled trial of an attending staff service in general internal medicine.Med Care.1991;29(7 suppl):JS31JS40.
  6. Dhuper S,Choksi S.Replacing an academic internal medicine residency program with a physician assistant‐‐hospitalist model: a Comparative Analysis Study.Am J Med Qual.2009;24(2):132139.
  7. Rhee JV,Ritchie J,Eward AM.Resource use by physician assistant services versus teaching services.JAAPA.2002;15(1):3342.
  8. Roy CL,Liang CL,Lund M, et al.Implementation of a physician assistant/hospitalist service in an academic medical center: impact on efficiency and patient outcomes.J Hosp Med.2008;3(5):361368.
  9. AHRQ. Clinical Classifications Software (CCS) for ICD‐9‐CM. Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/ccs/ccs.jsp#overview. Accessed July2010.
  10. AHRQ. HCUP: Comorbidity Software, Version 3.4.;Available at: http://www.hcup‐us.ahrq.gov/toolssoftware/comorbidity/comorbidity.jsp. Accessed July2010.
  11. Schuberth JL,Elasy TA,Butler J, et al.Effect of short call admission on length of stay and quality of care for acute decompensated heart failure.Circulation.2008;117(20):26372644.
  12. Lofgren RP,Gottlieb D,Williams RA,Rich EC.Post‐call transfer of resident responsibility: its effect on patient care.J Gen Intern Med.1990;5(6):501505.
  13. O'Connor AB,Lang VJ,Lurie SJ,Lambert DR,Rudmann A,Robbins B.The effect of nonteaching services on the distribution of inpatient cases for internal medicine residents.Acad Med.2009:84(2):220225.
  14. Singh S,Petkova JH,Gill A, et al.Allowing for better resident education and improving patient care: hospitalist‐physician assistant teams fill in the gaps.J Hosp Med.2007;2[S2]:139.
  15. Finkler SA.The distinction between cost and charges.Ann Intern Med.1982;96(1):102109.
  16. Jencks SF,Williams MV,Coleman EA.Rehospitalizations among patients in the Medicare Fee‐for‐Service Program.N Engl J Med.2009;360(14):14181428.
Issue
Journal of Hospital Medicine - 6(3)
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A comparison of outcomes of general medical inpatient care provided by a hospitalist‐physician assistant model vs a traditional resident‐based model
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Chronic Constipation in the Elderly

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Recognition and Management of Nighttime Reflux Symptoms

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Plastic Surgery Groups Remove Cancer-Implant Webinar After Complaints

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Two plastic surgery professional organizations have removed a members-only webinar in the wake of complaints by an advocacy group that the program downplayed the risk of anaplastic large-cell lymphoma (ALCL) in women who have breast implants.

Public Citizens Health Research Group wrote to the Food and Drug Administration on Feb. 17 to urge the agency to take action against the American Society of Plastic Surgeons (ASPS) and the American Society of Aesthetic Plastic Surgery (ASAPS).

The Washington-based nonprofit said that the groups held the webinar in the wake of the FDA’s Jan. 26 announcement that there were a growing number of cases of ALCL in women with implants.

Dr. Jeffrey Shuren, director of the FDA’s Center for Devices and Radiological Health, said in a Feb. 28 letter (pdf) to Public Citizen that it had viewed the webinar and "spoke with representatives of both organizations." Dr. Shuren added that, "They informed us of their plans to remove the webinar from their Web site."

Both organizations said that they were not instructed by the FDA to take the webinar down, but that it was a voluntary decision.

In a March 2 statement, the ASAPS said that it removed the webinar "as newer information became available a week ago." That information, according to ASAPS president Felmont F. Eaves III, is "an independent, systematic review of ALCL, which will be published in an upcoming edition of Plastic and Reconstructive Surgery."

Dr. Eaves said in an interview that the Rand Corp. conducted the review and that it is his understanding that the article will be available some time in June. For the time being, the advanced copy of the article is available only to ASAPS members.

The ASPS said in a March 2 statement, "It was never our intention to downplay the risk of a very rarely occurring cancer associated with breast implants." Rather, said the Society, "We did not want to unnecessarily alarm patients when the risk of ALCL associated with breast implants is so low."

According to Public Citizen, ASPS president Phil Haeck explained in the webinar that ALCL should not be referred to as a tumor or a malignancy, but as a "condition." Dr. Haeck said, "I would recommend that you use the same terms with your patients rather than disturb them by saying this is a cancer, this is a malignancy. The best word is this is a condition," according to Public Citizen. Dr. Haeck added, "And I think you are certainly justified, with what we know now, in downplaying the malignant potential of these."

Public Citizen also objected to the webinar telling members that "surgery was curative," for ALCL.

In his response to Public Citizen, the FDA’s Dr. Shuren said, "the FDA believes the optimal treatment regimen has not been established and that additional data collection is needed to fully understand the possible relationship between ALCL and breast implants, as well as the risk factors, optimal treatment plan, and prognosis."

The FDA is asking health care providers to report confirmed cases of ALCL. The agency also notes that ASPS and others are collaborating with the agency to develop a registry tracking ALCL and implants. ASAPS said in late January that it also is supporting the registry. Details are still being worked out.

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Two plastic surgery professional organizations have removed a members-only webinar in the wake of complaints by an advocacy group that the program downplayed the risk of anaplastic large-cell lymphoma (ALCL) in women who have breast implants.

Public Citizens Health Research Group wrote to the Food and Drug Administration on Feb. 17 to urge the agency to take action against the American Society of Plastic Surgeons (ASPS) and the American Society of Aesthetic Plastic Surgery (ASAPS).

The Washington-based nonprofit said that the groups held the webinar in the wake of the FDA’s Jan. 26 announcement that there were a growing number of cases of ALCL in women with implants.

Dr. Jeffrey Shuren, director of the FDA’s Center for Devices and Radiological Health, said in a Feb. 28 letter (pdf) to Public Citizen that it had viewed the webinar and "spoke with representatives of both organizations." Dr. Shuren added that, "They informed us of their plans to remove the webinar from their Web site."

Both organizations said that they were not instructed by the FDA to take the webinar down, but that it was a voluntary decision.

In a March 2 statement, the ASAPS said that it removed the webinar "as newer information became available a week ago." That information, according to ASAPS president Felmont F. Eaves III, is "an independent, systematic review of ALCL, which will be published in an upcoming edition of Plastic and Reconstructive Surgery."

Dr. Eaves said in an interview that the Rand Corp. conducted the review and that it is his understanding that the article will be available some time in June. For the time being, the advanced copy of the article is available only to ASAPS members.

The ASPS said in a March 2 statement, "It was never our intention to downplay the risk of a very rarely occurring cancer associated with breast implants." Rather, said the Society, "We did not want to unnecessarily alarm patients when the risk of ALCL associated with breast implants is so low."

According to Public Citizen, ASPS president Phil Haeck explained in the webinar that ALCL should not be referred to as a tumor or a malignancy, but as a "condition." Dr. Haeck said, "I would recommend that you use the same terms with your patients rather than disturb them by saying this is a cancer, this is a malignancy. The best word is this is a condition," according to Public Citizen. Dr. Haeck added, "And I think you are certainly justified, with what we know now, in downplaying the malignant potential of these."

Public Citizen also objected to the webinar telling members that "surgery was curative," for ALCL.

In his response to Public Citizen, the FDA’s Dr. Shuren said, "the FDA believes the optimal treatment regimen has not been established and that additional data collection is needed to fully understand the possible relationship between ALCL and breast implants, as well as the risk factors, optimal treatment plan, and prognosis."

The FDA is asking health care providers to report confirmed cases of ALCL. The agency also notes that ASPS and others are collaborating with the agency to develop a registry tracking ALCL and implants. ASAPS said in late January that it also is supporting the registry. Details are still being worked out.

Two plastic surgery professional organizations have removed a members-only webinar in the wake of complaints by an advocacy group that the program downplayed the risk of anaplastic large-cell lymphoma (ALCL) in women who have breast implants.

Public Citizens Health Research Group wrote to the Food and Drug Administration on Feb. 17 to urge the agency to take action against the American Society of Plastic Surgeons (ASPS) and the American Society of Aesthetic Plastic Surgery (ASAPS).

The Washington-based nonprofit said that the groups held the webinar in the wake of the FDA’s Jan. 26 announcement that there were a growing number of cases of ALCL in women with implants.

Dr. Jeffrey Shuren, director of the FDA’s Center for Devices and Radiological Health, said in a Feb. 28 letter (pdf) to Public Citizen that it had viewed the webinar and "spoke with representatives of both organizations." Dr. Shuren added that, "They informed us of their plans to remove the webinar from their Web site."

Both organizations said that they were not instructed by the FDA to take the webinar down, but that it was a voluntary decision.

In a March 2 statement, the ASAPS said that it removed the webinar "as newer information became available a week ago." That information, according to ASAPS president Felmont F. Eaves III, is "an independent, systematic review of ALCL, which will be published in an upcoming edition of Plastic and Reconstructive Surgery."

Dr. Eaves said in an interview that the Rand Corp. conducted the review and that it is his understanding that the article will be available some time in June. For the time being, the advanced copy of the article is available only to ASAPS members.

The ASPS said in a March 2 statement, "It was never our intention to downplay the risk of a very rarely occurring cancer associated with breast implants." Rather, said the Society, "We did not want to unnecessarily alarm patients when the risk of ALCL associated with breast implants is so low."

According to Public Citizen, ASPS president Phil Haeck explained in the webinar that ALCL should not be referred to as a tumor or a malignancy, but as a "condition." Dr. Haeck said, "I would recommend that you use the same terms with your patients rather than disturb them by saying this is a cancer, this is a malignancy. The best word is this is a condition," according to Public Citizen. Dr. Haeck added, "And I think you are certainly justified, with what we know now, in downplaying the malignant potential of these."

Public Citizen also objected to the webinar telling members that "surgery was curative," for ALCL.

In his response to Public Citizen, the FDA’s Dr. Shuren said, "the FDA believes the optimal treatment regimen has not been established and that additional data collection is needed to fully understand the possible relationship between ALCL and breast implants, as well as the risk factors, optimal treatment plan, and prognosis."

The FDA is asking health care providers to report confirmed cases of ALCL. The agency also notes that ASPS and others are collaborating with the agency to develop a registry tracking ALCL and implants. ASAPS said in late January that it also is supporting the registry. Details are still being worked out.

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Triple Therapy

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Triple therapy in hospitalized patients: Facts and controversies

Dual antiplatelet therapy (DAPT) (aspirin plus a thienopyridine: clopidogrel or prasugrel) has become the standard treatment for patients with acute coronary syndromes (ACS) and after coronary stent placement (Table 1). Anticoagulant therapy with warfarin is indicated for stroke prevention in atrial fibrillation (AF), profound left ventricular dysfunction, and after mechanical heart valve replacement, as well as for treatment of deep venous thrombosis and pulmonary embolism (Table 2). It is estimated that 41% of the U.S. population over age 40 years is on some form of antiplatelet therapy,6 and 2.5 million patients, mostly elderly, are on long‐term warfarin therapy.7 More specifically, 5% of patients undergoing percutaneous coronary interventions (PCIs) also have an indication for warfarin.8 With widespread use of drug‐eluting stents (DES), the need for a longer duration of DAPT, and the increased age and complexity of hospitalized patients, the safety and challenges of triple therapy (combined DAPT and warfarin) have become more important to the practice of hospital medicine. Triple therapy may increase hospitalization rates, as the risk of major bleeding is four to five times higher than with DAPT.911 In contrast, DAPT is much less effective than warfarin alone in preventing embolic events in AF,12 and warfarin alone or in combination with aspirin (ASA) is inadequate therapy to prevent stent thrombosis. Even fewer data exist on the efficacy and safety of triple therapy in patients with mechanical valves or left ventricular dysfunction.

ACC/AHA/SCAI Recommendations for the Use of DAPT After PCI and UA/NSTEMIa
Class Recommendations Level of Evidence
  • Abbreviations: ACC/AHA/SCAI, The American College of Cardiology/American Heart Association/ Society for Cardiac Angiography and Interventions; DAPT, dual antiplatelet therapy; PCI, percutaneous coronary intervention; UA/NSTEMI, unstable angina/nonST‐elevation myocardial infarction; ASA, aspirin; BMS, bare metal stents; DES, drug eluting stents; ACS, acute coronary syndrome.

  • Superscript numbers refer to references.

  • Class I: conditions for which there is evidence for and/or general agreement that a given procedure or treatment is beneficial, useful, and effective.

  • Class II: conditions for which there is conflicting evidence and/or a divergence of opinion about the usefulness/efficacy of a procedure or treatment.

  • Class IIa: weight of evidence/opinion is in favor of usefulness/efficacy; Class IIb, usefulness/efficacy is less well established by evidence/opinion.

  • Class III: conditions for which there is evidence and/or general agreement that a procedure/treatment is not useful/effective and in some cases may be harmful.

  • Level of evidence A: data derived from multiple randomized clinical trials or meta‐analyses.

  • Level of evidence B: data derived from a single randomized trial or nonrandomized studies.

  • Level of evidence C: only consensus opinion of experts, case studies, or standard‐of‐care.

DAPT after PCI/stenting1
ASA
Class I ASA 325 mg/d after PCI for 1 mo (up to 6 mo depending on type of stent implanted) and then 7562 mg/d indefinitely B
Class IIa ASA 75‐325 mg/d indefinitely after brachytherapy unless risk of bleeding is significant C
In patients at risk of bleeding, a lower dose of 75‐162 mg/d is reasonable after stent implantation C
Thienopyridine
Class I Clopidogrel 75 mg/d after BMS for at least 1 mo and ideally up to 12 mo unless increased risk of bleeding (at least 2 wk) B
Clopidogrel 75 mg/d after DES for at least 12 mo if not at high risk for bleeding B
2009 focus update2: Clopidogrel 75 mg daily or prasugrel 10 mg daily for at least 12 mo after BMS or DES for ACS B
Class IIa Clopidogrel 75 mg/d indefinitely after brachytherapy unless risk of bleeding is significant C
Class IIb In patients with potential for lethal or catastrophic stent thrombosis, consider platelet aggregation studies and increase clopidogrel dose to 150 mg/d if <50% inhibition of platelet aggregation is seen C
Continuation of clopidogrel 75 mg/day beyond 12 mo is reasonable after DES C
2009 focus update2: consider continuation of clopidogrel or prasugrel beyond 15 mo after DES placement C
DAPT for UA/NSTEMI without stenting3
ASA
Class I Continue ASA (75 to 162 mg/d) indefinitely A
Clopidogrel
Class 1 Clopidogrel (75 mg/d) for at least 1 mo (A) and ideally for up to 1 y B
Dipyridamole
Class III Dipyridamole is not recommended because it has not been shown to be effective A
Risk of Thromboembolic Events per Year for Patients With Atrial Fibrillation or Mechanical Valvea
  • Abbreviation: CHADS2, congestive heart failure, hypertension, age, diabetes, prior stroke or transient ischemic attack; ASA, aspirin.

  • Superscript numbers refer to references.

  • The risk of thromboembolic events are highest for caged ball valves, followed by tilting disc valves, followed by bileaflet valves.

  • This category includes all reported valve thrombosis, major embolism, and minor embolism.

Condition Risk (%)
Atrial fibrillation (without anticoagulation)4
Low‐risk atrial fibrillation (CHADS2 score 0) 1.9
Intermediate‐risk atrial fibrillation (CHADS2 score 1) 2.8
High‐risk atrial fibrillation (CHADS2 score 2‐6) 418
Mechanical heart valve5b
Mechanical heart valve (without anticoagulation) 8.6c
Mechanical heart valve (treated with ASA alone) 7.5c
Mechanical heart valve (treated with warfarin) 1.8c
Mechanical aortic valve (treated with warfarin) 1.1c
Mechanical mitral valve (treated with warfarin) 2.7c

Hospitalists commonly care for patients on triple therapy; certain indications are appropriate and supported from the available literature while others lack evidence. Knowledge of existing practice guidelines and of supporting research studies leads to optimal management of these complicated patients, and minimizes excessive morbidity from bleeding complications or thromboembolic events such as strokes and stent thrombosis.

In the first part of this article, we present the evidence that supports current recommendations for DAPT or warfarin in specific medical conditions. We also address controversies and unanswered questions. The second part of this review focuses on the available data and provides guidance on the optimal care of patients on triple therapy.

Dual Antiplatelet Therapy Following Acute Coronary Syndromes

Table 3 summarizes key randomized trials of DAPT versus ASA alone in several clinical scenarios. The addition of clopidogrel to ASA in patients with nonST‐elevation ACS reduced the risk of adverse ischemic outcomes in the clopidogrel in unstable angina to prevent recurrent events (CURE) trial,15 as well as in its substudy, the PCI‐CURE (patients with ACS who have undergone stenting).17 In the main CURE study, the study groups diverged within the first 30 days after randomization and the benefit of DAPT persisted throughout the 12 months of the study period. DAPT is also superior to ASA in patients with ST‐elevation myocardial infarction (MI) (CLARITYTIMI 28 and COMMIT trials).13, 14 On the basis of these findings, DAPT has become the standard of care for patients with ACS. The American College of Cardiology (ACC)/American Heart Association (AHA)3 and the European Society of Cardiology18 recommend ASA treatment indefinitely for patients with ACS whether or not they underwent PCI. Clopidogrel is recommended for at least 12 months following ACS, especially for patients who receive a coronary stent.

Randomized Clinical Trials of Dual Antiplatelet Therapy With Clopidogrel Plus Aspirin Versus Aspirin Alonea
Trial Endpoints Results
  • Abbreviations: MI, myocardial infarction; CLARITYTIMI 28, Clopidogrel as Adjunctive Reperfusion TherapyThrombolysis in Myocardial Infarction; CI, confidence interval; COMMIT, Clopidogrel and Metoprolol in Myocardial Infarction; ACS, acute coronary syndromes; CURE, Clopidogrel in Unstable Angina to Prevent Recurrent Events; RR, relative risk; CREDO, Clopidogrel for the Reduction of Events During Observation; PCICURE, Analysis of CURE patients who underwent a percutaneous coronary intervention; TVR, target vessel revascularization.

  • Superscript numbers refer to references.

ST elevation MI
CLARITY‐TIMI13 Incidence of death, infarct‐related artery occlusion, or recurrent MI 36% reduction (95% CI 2447); P < .001
COMMIT14 Incidence of death, MI, or stroke 9% reduction (95% CI 314); P < .002
ACS without ST elevation
CURE15 Incidence of death, MI, or stroke 20% reduction (RR 0.80 [0.720.90]); P < .001
Bare‐metal stent placement
CREDO16 Incidence of death, MI, or stroke 27% reduction (95% CI 3.944.4); P < .02
PCI‐CURE17 Incidence of death, MI, or urgent TVR 30% reduction (RR 0.70 [0.500.97]); P < .03

Despite the proven efficacy of DAPT in ACS, about 15% of patients die or experience reinfarction within 30 days of diagnosis.19 The continued risk for thrombotic events could be due to delayed onset of platelet inhibition and to patient heterogeneity in responsiveness to therapy with ASA and/or clopidogrel.20 Consequently, the optimum dose for clopidogrel and ASA following ACS is uncertain. The CURRENT‐OASIS 7 trial evaluated the efficacy and safety of high‐dose clopidogrel (600‐mg loading dose, 150 mg once daily for 7 days, followed by 75 mg/d) versus standard‐dose clopidogrel (300‐mg loading dose, followed by 75 mg/d) and ASA (75‐100 mg versus 300‐325 mg/d) in patients with ACS who were treated medically, with or without stenting.21 In the overall study population as well as in patients who did not receive stenting, there was no significant difference in the combined rate of death from cardiovascular causes, MI, and stroke between patients receiving the high‐dose and the standard‐dose clopidogrel (4.2% vs 4.4%; P = .37) and high‐dose versus low‐dose ASA (4.2% vs 4.4%; P = .47). There were no significant differences in bleeding complications between the two clopidogrel treatment arms or between the high‐dose and low‐dose ASA groups.

The ACC/AHA guidelines recommend ASA, 75‐162 mg/d indefinitely after medical therapy without stenting (class I, level of evidence: A)3 and clopidogrel 75 mg/d for at least 1 month (class IA) and optimally for 1 year (class IB). Clopidogrel monotherapy is appropriate for patients with ACS who are unable to tolerate ASA due to either hypersensitivity or recent significant gastrointestinal bleeding.

As is the case after coronary stenting, interruption of DAPT soon after ACS may subject patients to high recurrence of cardiovascular events, although few data are available to support this observation. Interruption of DAPT due to bleeding complications or surgical procedures more than 1 month after ACS may be reasonable for a patient who did not receive a stent. Clinicians should restart DAPT after the surgical procedure once the bleeding risk becomes acceptable.

Dual Antiplatelet Therapy Following Coronary Stenting

Following Bare Metal Stents

Stent thrombosis occurs in approximately 20% of patients who receive bare metal stents (BMS) without DAPT22; the risk is highest in the first 30 days after implantation. The clinical presentation of stent thrombosis is often catastrophic: MI or sudden death occurs in over 60% of cases. DAPT reduces the incidence of stent thrombosis to a clinically acceptable level.22

In the ISAR trial of 517 patients treated with BMS for MI, suboptimal angioplasty, or other high‐risk clinical and anatomic features,23 patients were randomly assigned to treatment with ASA plus ticlopidine or ASA plus anticoagulation with heparin and warfarin. The primary endpoint of cardiac death, MI, coronary bypass surgery, or repeat angioplasty occurred in 1.5% of patients assigned to DAPT and 6.2% of those assigned to anticoagulant therapy (relative risk [RR], 0.25; 95% confidence interval [CI], 0.06‐0.77). The PCI‐CURE study evaluated patients who received BMS after ACS.17 The primary endpoint was a composite of cardiovascular death, MI, or urgent target‐vessel revascularization within 30 days of PCI. Long‐term administration of clopidogrel (8 months) conferred a lower rate of cardiovascular death, MI, or any revascularization (P = .03), with no significant difference in major bleeding between the groups (P = .64). In the CREDO trial,16 investigators evaluated 2116 patients undergoing PCI at 99 North American centers. Subjects received either a 300‐mg loading dose of clopidogrel or placebo 3‐24 hours before PCI. All patients then received clopidogrel 75 mg/d through day 28. For the following 12 months, patients in the loading dose group received clopidogrel, and those in the control group received placebo. All patients received ASA throughout the study. At 1 year, loading dose plus long‐term clopidogrel therapy conferred a 27% RR reduction (3% absolute risk reduction) in the combined endpoint of death, MI, or stroke (P = .02).

Based on these trials, the ACC and AHA recommend clopidogrel (75 mg/d) for a minimum of 1 month and optimally 12 months after BMS (class 1B).2 For patients at increased risk of bleeding, the ACC/AHA recommends a minimum of 2 weeks of clopidogrel. Although lifelong therapy with ASA is recommended, the optimal dose of ASA after BMS is unknown. However, on the basis of clinical trial protocols (no randomized data), guidelines recommend ASA 162 mg‐325 mg/d for at least 1 month, followed by indefinite use at a dose of 75‐162 mg. In patients for whom there is concern about bleeding, lower doses of ASA (75‐162 mg) are acceptable for the initial period after stent implantation.

Following Drug‐Eluting Stents

Drug‐eluting stents have become the standard percutaneous treatment for patients with symptomatic coronary artery disease. In 2005, a sampling of 140 US hospitals indicated that 94% of patients treated with a stent received at least one DES.24 Compared with BMS, restenosis and the need for revascularization are significantly less frequent. In contrast, unanticipated high rates of very late (>1 year) stent thrombosis have complicated DES.25 Because of the potentially lethal consequences of stent thrombosis, several authors have questioned the long‐term safety of DES2635 and examined the role of extended DAPT in reducing this delayed complication.27, 31, 36 Although the initial pivotal randomized trials of DES mandated clopidogrel use for only 3 months after sirolimus‐eluting stent and 6 months after paclitaxel‐eluting stent,37, 38 current guidelines recommend DAPT for at least 12 months after DES placement for patients who are not at high risk of bleeding.1

Although multiple studies have confirmed the benefit of DAPT, controversy remains regarding the extended use for more than 1 year. The only randomized trial that addressed this issue was nonblinded and underpowered.39 In this study of patients from two ongoing trials, the REAL‐LATE and ZEST‐LATE, extended duration DAPT (>12 months, median duration 19.2 months), did not reduce the incidence of MI and cardiac death.39 The rate of the primary endpoint was less than 25% of that expected (underpowered), and patients had already received clopidogrel for up to 24 months before enrollment.

The results from small, nonrandomized trials regarding this issue have been contradictory. Banerjee and colleagues studied 530 consecutive patients who underwent PCI (85% received a DES), were free of cardiovascular events for 6 months after PCI, and had follow‐up available for >12 months.26 In a multivariate analysis, clopidogrel use for 1 year was associated with lower mortality (hazard ratio [HR], 0.28; 95% CI, 0.140.59); this effect was independent of traditional cardiovascular risk factors, clinical presentation, and DES use. In a study at the Duke Heart Center40 among patients with DES (n = 528) who were event‐free at 12 months, continued clopidogrel use conferred lower rates of death (0% versus 3.5%; difference, 3.5%; 95% CI, 5.9% to 1.1%; P = .004) and death or MI (0% versus 4.5%; difference, 4.5%; 95% CI, 7.1% to 1.9%; P < .001) at 24 months. In the TYCOON registry,35 patients with DES receiving clopidogrel for 2 years had a rate of stent thrombosis (0.4%) that was similar to those with BMS (0.7%) but significantly lower than patients with DES and 1‐year DAPT (2.9%).

In contrast, Roy and colleagues33 found that clopidogrel cessation at 12 months did not predict stent thrombosis, and Park and colleagues32 reported that clopidogrel continuation beyond 1 year did not appear to decrease stent thrombosis or clinical events after DES implantation. Similarly, Stone et al.34 performed a landmark analysis on the basis of the prospective, double‐blind TAXUS‐II SR, TAXUS‐IV, and TAXUS‐V trials. The authors found that thienopyridine use beyond 1 year after DES may reduce stent thrombosis over the subsequent 12‐month period, but did not reduce rates of death and MI at 2 and 5 years after either DES or BMS.

Current guidelines recommend ASA 162‐325 mg/d for at least 3‐6 months, followed by treatment indefinitely at a dose of 75‐162 mg daily. Clopidogrel, on the other hand, is given at 75 mg/d for at least 12 months.

Warfarin After Acute Coronary Syndromes

Warfarin with different international normalized ratio (INR) goals alone or in combination with ASA has been evaluated after ACS. In an early trial, patients with recent (mean interval 27 days) MI were treated with warfarin alone versus placebo.41 Warfarin conferred a relative risk reduction in mortality of 24% (95% CI, 4‐44%; P = .027) at the expense of major bleeding rates of 0.6%/y. In the ASPECT trial,42 moderate to high intensity anticoagulation after MI resulted in a 53% and 40% reduction in the relative risk of reinfarction (annual incidence 2.3% versus 5.1%) and cerebrovascular events (annual incidence 0.7% versus 1.2%), respectively. In the WARIS II43 and ASPECT‐244 trials, moderate intensity warfarin (INR 2.0‐2.5) in combination with low‐dose ASA, compared with ASA alone, reduced the composite occurrence of death or nonfatal reinfarction, as well as recurrent coronary occlusion after ST‐segment elevation MI. High‐intensity warfarin therapy alone (INR 3.0‐4.0 for ASPECT, 2.8‐4.2 for WARISII) reduced ischemic vascular events compared with ASA alone. Not unexpectedly, major bleeding episodes were more common among patients receiving warfarin.

No randomized trials have compared DAPT with warfarin plus ASA for patients with ACS who did not receive stents. The ACC/AHA guidelines recommend warfarin for secondary prevention following ACS (class IIb). High‐intensity warfarin alone (INR 2.5‐3.5) or moderate intensity (INR 2.0‐2.5) with low‐dose ASA (75‐81 mg/d) may be reasonable for patients at high ischemic and low bleeding risk who are intolerant of clopidogrel (level of evidence: B). Fixed dose warfarin is not recommended by the ACC/AHA primarily on the basis of the Coumadin Aspirin Reinfarction Study (CARS) results. This study of patients following MI was discontinued prematurely because of a lack of incremental benefit of reduced‐dose ASA (80 mg/d) combined with either 1 or 3 mg of warfarin daily when compared with 160 mg/d of ASA alone.

Triple Therapy for PCI and Atrial Fibrillation

AF is the most frequent indication (70%) for long‐term therapy with warfarin in patients scheduled for stent placement.10 Clinical trials have shown that warfarin alone is superior to ASA, clopidogrel, or DAPT for prevention of stroke in patients with AF.45, 46 Although warfarin is indispensable in these settings, DAPT is similarly necessary after stent implantation. As triple therapy increases the risk of bleeding, the management of patients with AF and who have received stents remains controversial. This situation is particularly problematic among patients who have received DES and may benefit from extended DAPT. No randomized trials exist to clarify the optimal treatment in these patients; and the feasibility of such studies is questionable. Small, mostly retrospective, studies (Table 4) provide limited guidance on this issue; most studies focus on bleeding events rather than the cardiovascular efficacy of triple therapy. Because of these limitations, cardiovascular societies give IIb recommendation for either triple therapy or the combination of warfarin and clopidogrel in this setting and the level of evidence is C.1, 59, 60

Studies of Triple Therapy for Patients With Atrial Fibrillation and Coronary Stents
Author Year Type No. Major Bleeding, % (range) Thrombotic Events Comments
  • Abbreviations: Obs, observational; Pros, prospective; INR, international normalized ratio; GI, gastrointestinal; TT, triple therapy; PCI, percutaneous coronary intervention; MI, myocardial infarction; DAPT, dual antiplatelet therapy; ASA, aspirin; OR, odds ratio; BMI, body mass index; DM, diabetes mellitus; MACE, major adverse cardiovascular events; MACCE, major adverse cardiac and cerebral events; WAA, warfarin plus single antiplatelet agent; EB, early bleeding; LB, late (>48‐h) bleeding.

  • Transfusions.

  • Dual antiplatelet therapy vs triple therapy.

  • Warfarin versus nonwarfarin.

  • Triple therapy versus nontriple therapy.

  • Triple therapy versus dual antiplatelet therapy vs warfarin and single antiplatelet agent.

Studies of one group (triple therapy group)
Orford et al.47 2004 Obs 66 4.5 (0.211.2) N/A Bleeding occurred only with suboptimal control of INR and/or pre‐existing GI disease.
Porter et al.48 2006 Obs 180 1.6 (0.04.2) N/A Bleeding rates were acceptable with short‐term TT after PCI.
Rubboli et al.49 2007 Obs 49 18 (4.436.9) N/A Most hemorrhages occurred during TT.
Rogacka et al.50 2008 Obs 127 4.7 N/A One‐half of bleeding episodes were lethal and 67% occurred within the first month.
Studies comparing triple therapy with dual antiplatelet therapy
Mattichak et al.51 2005 Obs 82 21 vs. 3.5 (P = .028)a Reinfarction (29% vs. 9%, P = .15) TT did not reduce reinfarction after stenting for MI but increased rates of GI bleeding and transfusions.
Khurram et al.11 2006 Matched cohort 214 6.6 vs. 0 (P = .03) N/A Higher bleeding rates for TT than DAPT. INR range or ASA dosage did not influence the bleeding risk.
DeEugenio et al.9 2007 Matched cohort 194 OR 5.0 (1.417.8, P = .012) N/A ASA dose, age, sex, BMI, DM, hypertension, and procedural anticoagulant type or use did not influence risk of major bleeding.
Ruiz‐Nodar et al.52 2008 Obs 426 14.9 vs. 9.0 (P = .19) Mortality: OR 3.43 (1.617.54, P = .002)b MACE: OR 4.9 (2.1711.1, P < .01)b TT was associated with a nonsignificant increase in major bleeding but lower all‐cause mortality and fewer MACE.
Sarafoff et al.53 2008 Prosp 515 1.4 vs. 3.1 (P = .34). MACCE: OR 0.76 (0.481.21, P = .25) No difference in MACCE or bleeding at 2 y. Stent thrombosis did not differ between groups.
Rossini et al.54 2008 Prosp 204 10.8 vs. 4.9 (P = .1) MACE: 5.8% vs. 4.9% (P = .7) INR was targeted to the lower range (2.0‐2.5). No significant difference in bleeding rates for TT versus DAPT at 18 mo. Less bleeding for patients whose INR was within target (4.9 versus 33%, P = .00019). No significant differences in MACE between groups.
Uchida et al.55 2010 Obs 575 18 vs. 2.7 (P < .001) MACE (P = .108) No differences in MACE rates. More bleeding for patients on TT.
Studies comparing triple therapy versus dual antiplatelet therapy versus wararin and single antiplatelet agent
Karjalainen et al.10 2007 Matched cohort 239 OR 3.3 (1.38.6, P = .014)c MACE: OR 1.7 (1.0‐3.0, P = 0.05)c This study compared patients on warfarin at baseline with those not on warfarinall undergoing stenting. Patients on warfarin at baseline were treated with a variety of strategies. Baseline warfarin use increased both major bleeding and MACE at 1 y. ASA plus warfarin was inadequate to prevent stent thrombosis, and premature warfarin cessation was associated with stroke.
Manzano‐Fernandez et al.56 2008 Obs 104 EB (5.8 vs. 11.3, P = .33) LB (21.6 vs. 3.8, P = .006)d MACE: 25.5% vs. 21.0% (P = .53)d No difference in MACE rates between TT and non‐TT (WAA or DAPT). TT conferred higher late bleeding (>48 h).
Gao et al.57 2010 Prosp 622 2.9 vs. 1.8 vs. 2.5 (P = .725)e MACCE: 8.8% vs. 20.1% vs. 14.9% (P = .010)e Target INR was set as 1.8‐2.5. Lower stroke and MACCE rates for TT as compared with DAPT or WAA; no difference in bleeding.
Studies comparing triple therapy with warfarin and single antiplatelet agent
Nguyen et al.58 2007 Obs 800 5.9 vs. 46 (P = .46) Death: 5.1% vs. 6.5% (P = .47) Stroke: 0.7% vs. 3.4% (P = .02) MI: 3.3% vs. 4.5% (P = .49) TT and WAA lead to similar 6‐mo bleeding, death, and MI. Fewer strokes with TT (caveat: low event rate).

In the largest study to date, Nguyen et al.58 evaluated 800 patients who underwent stenting for ACS and were discharged on warfarin plus single antiplatelet agent or triple therapy as part of the GRACE registry. At 6 months, triple therapy conferred a significant reduction in stroke (0.7% versus 3.4%, P = .02) but not in death or MI. There were no differences in in‐hospital major bleeding events between the two groups (5.9% versus 4.6%; P = .46). Similarly, Sarafoff et al.53 reported no significant differences in the combined endpoint (death, MI, stent thrombosis or stroke) or bleeding complications among patients who received triple therapy or DAPT at 2 years of follow‐up. In contrast, Ruiz‐Nodar et al.52 showed that triple therapy, compared with DAPT, at discharge reduced the incidence of death (17.8% versus 27.8%; adjusted HR = 3.43; 95% CI, 1.617.54; P = .002) and major adverse cardiac events (26.5% versus 38.7%; adjusted HR = 4.9; 95% CI, 2.1711.1; P = .01), without a substantial increase in major bleeding events.

The value of combination antiplatelet therapy to prevent stent thrombosis in these patients is clearer in the study reported by Karjalainen et al.10 This case‐control study of 239 patients receiving warfarin at baseline who underwent PCI evaluated a primary endpoint of death, MI, target‐vessel revascularization, or stent thrombosis and a secondary endpoint of major bleeding and stroke to 12 months of follow‐up. Forty‐eight percent of patients received triple therapy, whereas 15.5% were discharged on DAPT. The remaining patients received warfarin plus a single antiplatelet agent. Stent thrombosis occurred more frequently among patients receiving warfarin plus ASA (15.2%) than among those receiving triple therapy (1.9%). As expected, stroke was more frequent in patients treated with DAPT (8.8%) than among those receiving triple therapy (2.8%). Major bleeding was similar between groups. Therapy with warfarin was an independent predictor of both major bleeding and major cardiac events at 1 year. This observation illustrates that the outcome of PCI in patients on chronic warfarin therapy is unsatisfactory irrespective of the antithrombotic combinations used, highlighting the need for better strategies to treat these patients.

Choice of Therapy and Management of Patients Eligible for Triple Therapy

Current guidelines for PCI do not provide guidance for patients with an indication for triple therapy due to a paucity of published evidence. Several ongoing prospective trials aim to address the management of these patients (AFCAS, ISAR‐TRIPLE). Pending further study, clinicians should consider the embolic risk (CHADS2 score), target INR, type of stent, bleeding risk, and duration of treatment when determining the appropriate antiplatelet/anticoagulant combinations. The CHADS2 score (Table 2) stratifies the risk for stroke among patients with AF,4 while the Outpatient Bleeding Risk Index (OBRI) allows estimation of bleeding risk.12, 61 The OBRI considers age > 65 years, prior stroke, prior gastrointestinal bleeding, and any of four comorbidities (recent MI, anemia, diabetes, or renal insufficiency) in order to stratify patients into three risk groups.61 Patients with three to four risk factors have a high risk of bleeding (23% at 3 months and 48% at 12 months) whereas patients with no risk factors have only a 3% risk of bleeding at 12 months. Unfortunately, advanced age and prior stroke appear in both OBRI and CHADS.

For patients with AF who are at high risk for embolic stroke (>3% per year), we recommend triple therapy for the shortest time possible, followed by warfarin and ASA indefinitely. In case of BMS, it is acceptable to shorten triple therapy duration to 1 month. The optimal duration of triple therapy for patients with DES is uncertain; recommended durations range from 3 months to 1 year.62 If the potential consequences of stent thrombosis are high due to a large amount of myocardium at risk, an extended period of triple therapy might be justified. For patients whose stroke risk is lower (CHADS2 score of 0‐1), the risk for bleeding likely outweighs any benefit from stroke prevention. In this instance, it is reasonable to use DAPT with ASA and clopidogrel for 1 month after BMS and 12 months after DES, followed by ASA, with or without warfarin, indefinitely. In a recently published study, patients with AF and a CHADS2 score of 1 had a yearly stroke risk of 1.25% while taking DAPT63; the risk of major bleeding for triple therapy is 6.1% per year.64

For patients who have a high bleeding risk, BMS are the preferred stent type as the duration of triple therapy might be limited to 4 weeks. To our knowledge, no randomized study has evaluated the outcome of patients with BMS compared with DES who also have an indication for warfarin. Because studies have suggested that clopidogrel is more effective than aspirin in preventing stent thrombosis and in reducing death or MI after coronary stenting,40, 65 warfarin and single antiplatelet therapy with clopidogrel might be a reasonable treatment option in patients with high bleeding risk. The WOEST study (NCT00769938), currently recruiting participants, is the first randomized study specifically designed to test this hypothesis.

Since gastrointestinal bleeding accounts for approximately 30‐40% of hemorrhagic events in patients on combined ASA and anticoagulant therapy, an expert consensus document recommended concomitant treatment with proton pump inhibitors (PPIs) to reduce this risk.66 In contrast, the 2009 Focused Updates of the ACC/AHA/SCAI Guidelines did not recommend the use of PPIs with DAPT in the setting of ACS.2 This is because of studies that show inhibition of platelet activation,67 and potential clinical harm,68 when clopidogrel is combined with certain PPIs that inhibit the CYP2C19 enzyme. However, to date there are no convincing randomized clinical trial data documenting an important clinical drug‐drug interaction. The U.S. Food and Drug Administration (FDA) advises that physicians avoid the use of clopidogrel in patients with impaired CYP2C19 function due to known genetic variation or due to concomitant use of drugs that inhibit CYP2C19 activity. More specifically, the FDA recommends avoiding the use of omeprazole and esomeprazole in patients taking clopidogrel.69

In particular, elderly patients have an increased risk of bleeding while receiving triple therapy. In a study of patients over age 65, 2.5% were hospitalized for bleeding in the first year after PCI, and the use of triple therapy was the strongest predictor of bleeding (more than threefold increase).70 One in five patients suffered death or MI at 1 year after hospitalization for bleeding.70 The basis for poor outcomes after hospitalization for bleeding in this population is multifactorial and may be due to the location of bleeding, associated hypercoagulable state, potential adverse impact of blood transfusion, withdrawal of warfarin therapy in patients with AF and PCI, and the premature discontinuation of DAPT. The use of nonsteroidal anti‐inflammatory drugs (NSAIDs) is common among the elderly and conferred a doubling of bleeding risk.70 Limiting the use of NSAID, the use of low‐dose ASA beyond 30 days after stent implantation, greater use of BMS, and maintaining INR at the lowest possible level (INR of 22.5) will reduce the risk for bleeding.57, 71

New Anticoagulants

Due to the high risk for bleeding with warfarin and the challenges inherent in INR monitoring, researchers have developed several novel anticoagulants whose advantages include fixed daily dosing and no need for monitoring. Dabigatran is a direct oral thrombin inhibitor that is already licensed in Europe and Canada for thromboprophylaxis after hip or knee surgery. It has also been studied in patients with AF. In the RE‐LY trial, patients with AF who received dabigatran 110 mg daily had rates of stroke and systemic embolism that were similar to those with warfarin, as well as lower rates of major hemorrhage.72 The randomized ReDEEM trial, reported at the AHA 2009 Scientific Sessions, was aimed at finding a dosage of dabigatran that achieves a good balance between clinical effectiveness and bleeding risk when combined with aspirin and clopidogrel after acute MI. Dosages ranging from 50 mg twice daily to 150 mg twice daily were all associated with 6‐month rates of bleeding lower than 2%. Hospitalists should view these encouraging results cautiously until the publication of ReDEEM trial results in a peer‐reviewed journal.

A variety of oral Xa antagonists are also being evaluated in patients with AF or ACS. These trials offer insight into triple therapy regimens that include ASA, clopidogrel, and an Xa antagonist. In a recent study of the oral Xa antagonist rivaroxaban, investigators stratified 3491 subjects with ACS according to whether they received concomitant ASA alone or ASA and clopidogrel.73 Subjects receiving ASA plus rivaroxaban had a modest increase in bleeding. Triple therapy, however, increased the composite bleeding rate from 3.5% in the DAPT group to approximately 6‐15% (low‐dose or high‐dose rivaroxaban, respectively). Rivaroxaban is currently under review by the FDA.

These novel agents might eventually replace warfarin for many or most indications for anticoagulation. It is imperative that future research compare the efficacy and risk of bleeding between triple therapy using these new agents and triple therapy with warfarin.

Conclusions

The management of patients on long‐term anticoagulation who require DAPT because of ACS or coronary stenting is challenging. DAPT may safely substitute for warfarin only for patients at low risk for a thromboembolic event (ie, low‐risk AF with low CHADS2 score). Clinicians should not interrupt warfarin in patients at higher risk (ie, intermediate to high‐risk AF, mechanical valves, or recent venous thromboembolism), even in the presence of DAPT. In these patients, triple therapy is the optimal approach following coronary stenting (and possibly during the initial period after ACS without stenting). As this approach confers a fivefold increase in bleeding complications compared with DAPT, careful monitoring of the INR, the addition of PPIs, and the exclusion of elderly patients who are at the highest risk for bleeding complications74 is recommended. The preferred duration of triple therapy after BMS in patients who require long‐term anticoagulation is 1 month, whereas the optimal duration after ACS or DES remains unresolved.

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  36. Nordmann AJ,Briel M,Bucher HC.Mortality in randomized controlled trials comparing drug‐eluting vs. bare metal stents in coronary artery disease: a meta‐analysis.Eur Heart J2006;27:27842814.
  37. Moses JW,Leon MB,Popma JJ, et al.Sirolimus‐eluting stents versus standard stents in patients with stenosis in a native coronary artery.N Engl J Med2003;349:13151323.
  38. Stone GW,Ellis SG,Cox DA, et al.A polymer‐based, paclitaxel‐eluting stent in patients with coronary artery disease.N Engl J Med2004;350:221231.
  39. Park SJ,Park DW,Kim YH, et al.Duration of dual antiplatelet therapy after implantation of drug‐eluting stents.N Engl J Med2010;362:13741382.
  40. Eisenstein EL,Anstrom KJ,Kong DF, et al.Clopidogrel use and long‐term clinical outcomes after drug‐eluting stent implantation.JAMA2007;297:159168.
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  44. van Es RF,Jonker JJ,Verheugt FW,Deckers JW,Grobbee DE.Aspirin and coumadin after acute coronary syndromes (the ASPECT‐2 study): a randomised controlled trial.Lancet2002;360:109113.
  45. Connolly S,Pogue J,Hart R, et al.Clopidogrel plus aspirin versus oral anticoagulation for atrial fibrillation in the Atrial fibrillation Clopidogrel Trial with Irbesartan for prevention of Vascular Events (ACTIVE W): a randomised controlled trial.Lancet2006;367:19031912.
  46. Hart RG,Benavente O,McBride R,Pearce LA.Antithrombotic therapy to prevent stroke in patients with atrial fibrillation: a meta‐analysis.Ann Intern Med1999;131:492501.
  47. Orford JL,Fasseas P,Melby S, et al.Safety and efficacy of aspirin, clopidogrel, and warfarin after coronary stent placement in patients with an indication for anticoagulation.Am Heart J2004;147:463467.
  48. Porter A,Konstantino Y,Iakobishvili Z,Shachar L,Battler A,Hasdai D.Short‐term triple therapy with aspirin, warfarin, and a thienopyridine among patients undergoing percutaneous coronary intervention.Catheter Cardiovasc Interv2006;68:5661.
  49. Rubboli A,Colletta M,Herzfeld J,Sangiorgio P,Di Pasquale G.Periprocedural and medium‐term antithrombotic strategies in patients with an indication for long‐term anticoagulation undergoing coronary angiography and intervention.Coron Artery Dis2007;18:193199.
  50. Rogacka R,Chieffo A,Michev I, et al.Dual antiplatelet therapy after percutaneous coronary intervention with stent implantation in patients taking chronic oral anticoagulation.JACC Cardiovasc Interv2008;1:5661.
  51. Mattichak SJ,Reed PS,Gallagher MJ,Boura JA,O'Neill WW,Kahn JK.Evaluation of safety of warfarin in combination with antiplatelet therapy for patients treated with coronary stents for acute myocardial infarction.J Interv Cardiol2005;18:163166.
  52. Ruiz‐Nodar JM,Marin F,Hurtado JA, et al.Anticoagulant and antiplatelet therapy use in 426 patients with atrial fibrillation undergoing percutaneous coronary intervention and stent implantation implications for bleeding risk and prognosis.J Am Coll Cardiol2008;51:818825.
  53. Sarafoff N,Ndrepepa G,Mehilli J, et al.Aspirin and clopidogrel with or without phenprocoumon after drug eluting coronary stent placement in patients on chronic oral anticoagulation.J Intern Med2008;264:472480.
  54. Rossini R,Musumeci G,Lettieri C, et al.Long‐term outcomes in patients undergoing coronary stenting on dual oral antiplatelet treatment requiring oral anticoagulant therapy.Am J Cardiol2008;102:16181623.
  55. Uchida Y,Mori F,Ogawa H,Takagi A,Hagiwara N.Impact of anticoagulant therapy with dual antiplatelet therapy on prognosis after treatment with drug‐eluting coronary stents.J Cardiol2010;55:362369.
  56. Manzano‐Fernandez S,Pastor FJ,Marin F, et al.Increased major bleeding complications related to triple antithrombotic therapy usage in patients with atrial fibrillation undergoing percutaneous coronary artery stenting.Chest2008;134:559567.
  57. Gao F,Zhou YJ,Wang ZJ, et al.Comparison of different antithrombotic regimens for patients with atrial fibrillation undergoing drug‐eluting stent implantation.Circ J2010;74:701708.
  58. Nguyen MC,Lim YL,Walton A, et al.Combining warfarin and antiplatelet therapy after coronary stenting in the Global Registry of Acute Coronary Events: is it safe and effective to use just one antiplatelet agent?Eur Heart J2007;28:17171722.
  59. Antman EM,Hand M,Armstrong PW, et al.2007 focused update of the ACC/AHA 2004 guidelines for the management of patients with ST‐elevation myocardial infarction: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.J Am Coll Cardiol2008;51:210247.
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  63. Healey JS,Hart RG,Pogue J, et al.Risks and benefits of oral anticoagulation compared with clopidogrel plus aspirin in patients with atrial fibrillation according to stroke risk: the atrial fibrillation clopidogrel trial with irbesartan for prevention of vascular events (ACTIVE‐W).Stroke2008;39:1482–1486.
  64. Halg C,Brunner‐La Rocca HP,Kaiser C, et al.Early and late increased bleeding rates after angioplasty and stenting due to combined antiplatelet and anticoagulanttherapy.EuroIntervention2009;5:425431.
  65. Pfisterer M,Brunner‐La Rocca HP,Buser PT, et al.Late clinical events after clopidogrel discontinuation may limit the benefit of drug‐eluting stents: an observational study of drug‐eluting versus bare‐metal stents.J Am Coll Cardiol2006;48:25842591.
  66. Bhatt DL,Scheiman J,Abraham NS, et al.ACCF/ACG/AHA 2008 expert consensus document on reducing the gastrointestinal risks of antiplatelet therapy and NSAID use: a report of the American College of Cardiology Foundation Task Force on Clinical Expert Consensus Documents.Circulation2008;118:18941909.
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  69. Follow‐Up to the January 26,2009, Early Communication about an Ongoing Safety Review of Clopidogrel Bisulfate (marketed as Plavix) and Omeprazole (marketed as Prilosec and Prilosec OTC). 11/17/2009. (Accessed at http://www.fda.gov/Drugs/DrugSafety/Postmarket DrugSafetyInformationforPatientsandProviders/DrugSafetyInformationfor HeathcareProfessionals/ucm190784.htm.)
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Article PDF
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Journal of Hospital Medicine - 6(9)
Page Number
537-545
Legacy Keywords
Acute coronary syndromes, atrial fibrillation, dual antiplatelet therapy, stent, triple therapy, warfarin
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Dual antiplatelet therapy (DAPT) (aspirin plus a thienopyridine: clopidogrel or prasugrel) has become the standard treatment for patients with acute coronary syndromes (ACS) and after coronary stent placement (Table 1). Anticoagulant therapy with warfarin is indicated for stroke prevention in atrial fibrillation (AF), profound left ventricular dysfunction, and after mechanical heart valve replacement, as well as for treatment of deep venous thrombosis and pulmonary embolism (Table 2). It is estimated that 41% of the U.S. population over age 40 years is on some form of antiplatelet therapy,6 and 2.5 million patients, mostly elderly, are on long‐term warfarin therapy.7 More specifically, 5% of patients undergoing percutaneous coronary interventions (PCIs) also have an indication for warfarin.8 With widespread use of drug‐eluting stents (DES), the need for a longer duration of DAPT, and the increased age and complexity of hospitalized patients, the safety and challenges of triple therapy (combined DAPT and warfarin) have become more important to the practice of hospital medicine. Triple therapy may increase hospitalization rates, as the risk of major bleeding is four to five times higher than with DAPT.911 In contrast, DAPT is much less effective than warfarin alone in preventing embolic events in AF,12 and warfarin alone or in combination with aspirin (ASA) is inadequate therapy to prevent stent thrombosis. Even fewer data exist on the efficacy and safety of triple therapy in patients with mechanical valves or left ventricular dysfunction.

ACC/AHA/SCAI Recommendations for the Use of DAPT After PCI and UA/NSTEMIa
Class Recommendations Level of Evidence
  • Abbreviations: ACC/AHA/SCAI, The American College of Cardiology/American Heart Association/ Society for Cardiac Angiography and Interventions; DAPT, dual antiplatelet therapy; PCI, percutaneous coronary intervention; UA/NSTEMI, unstable angina/nonST‐elevation myocardial infarction; ASA, aspirin; BMS, bare metal stents; DES, drug eluting stents; ACS, acute coronary syndrome.

  • Superscript numbers refer to references.

  • Class I: conditions for which there is evidence for and/or general agreement that a given procedure or treatment is beneficial, useful, and effective.

  • Class II: conditions for which there is conflicting evidence and/or a divergence of opinion about the usefulness/efficacy of a procedure or treatment.

  • Class IIa: weight of evidence/opinion is in favor of usefulness/efficacy; Class IIb, usefulness/efficacy is less well established by evidence/opinion.

  • Class III: conditions for which there is evidence and/or general agreement that a procedure/treatment is not useful/effective and in some cases may be harmful.

  • Level of evidence A: data derived from multiple randomized clinical trials or meta‐analyses.

  • Level of evidence B: data derived from a single randomized trial or nonrandomized studies.

  • Level of evidence C: only consensus opinion of experts, case studies, or standard‐of‐care.

DAPT after PCI/stenting1
ASA
Class I ASA 325 mg/d after PCI for 1 mo (up to 6 mo depending on type of stent implanted) and then 7562 mg/d indefinitely B
Class IIa ASA 75‐325 mg/d indefinitely after brachytherapy unless risk of bleeding is significant C
In patients at risk of bleeding, a lower dose of 75‐162 mg/d is reasonable after stent implantation C
Thienopyridine
Class I Clopidogrel 75 mg/d after BMS for at least 1 mo and ideally up to 12 mo unless increased risk of bleeding (at least 2 wk) B
Clopidogrel 75 mg/d after DES for at least 12 mo if not at high risk for bleeding B
2009 focus update2: Clopidogrel 75 mg daily or prasugrel 10 mg daily for at least 12 mo after BMS or DES for ACS B
Class IIa Clopidogrel 75 mg/d indefinitely after brachytherapy unless risk of bleeding is significant C
Class IIb In patients with potential for lethal or catastrophic stent thrombosis, consider platelet aggregation studies and increase clopidogrel dose to 150 mg/d if <50% inhibition of platelet aggregation is seen C
Continuation of clopidogrel 75 mg/day beyond 12 mo is reasonable after DES C
2009 focus update2: consider continuation of clopidogrel or prasugrel beyond 15 mo after DES placement C
DAPT for UA/NSTEMI without stenting3
ASA
Class I Continue ASA (75 to 162 mg/d) indefinitely A
Clopidogrel
Class 1 Clopidogrel (75 mg/d) for at least 1 mo (A) and ideally for up to 1 y B
Dipyridamole
Class III Dipyridamole is not recommended because it has not been shown to be effective A
Risk of Thromboembolic Events per Year for Patients With Atrial Fibrillation or Mechanical Valvea
  • Abbreviation: CHADS2, congestive heart failure, hypertension, age, diabetes, prior stroke or transient ischemic attack; ASA, aspirin.

  • Superscript numbers refer to references.

  • The risk of thromboembolic events are highest for caged ball valves, followed by tilting disc valves, followed by bileaflet valves.

  • This category includes all reported valve thrombosis, major embolism, and minor embolism.

Condition Risk (%)
Atrial fibrillation (without anticoagulation)4
Low‐risk atrial fibrillation (CHADS2 score 0) 1.9
Intermediate‐risk atrial fibrillation (CHADS2 score 1) 2.8
High‐risk atrial fibrillation (CHADS2 score 2‐6) 418
Mechanical heart valve5b
Mechanical heart valve (without anticoagulation) 8.6c
Mechanical heart valve (treated with ASA alone) 7.5c
Mechanical heart valve (treated with warfarin) 1.8c
Mechanical aortic valve (treated with warfarin) 1.1c
Mechanical mitral valve (treated with warfarin) 2.7c

Hospitalists commonly care for patients on triple therapy; certain indications are appropriate and supported from the available literature while others lack evidence. Knowledge of existing practice guidelines and of supporting research studies leads to optimal management of these complicated patients, and minimizes excessive morbidity from bleeding complications or thromboembolic events such as strokes and stent thrombosis.

In the first part of this article, we present the evidence that supports current recommendations for DAPT or warfarin in specific medical conditions. We also address controversies and unanswered questions. The second part of this review focuses on the available data and provides guidance on the optimal care of patients on triple therapy.

Dual Antiplatelet Therapy Following Acute Coronary Syndromes

Table 3 summarizes key randomized trials of DAPT versus ASA alone in several clinical scenarios. The addition of clopidogrel to ASA in patients with nonST‐elevation ACS reduced the risk of adverse ischemic outcomes in the clopidogrel in unstable angina to prevent recurrent events (CURE) trial,15 as well as in its substudy, the PCI‐CURE (patients with ACS who have undergone stenting).17 In the main CURE study, the study groups diverged within the first 30 days after randomization and the benefit of DAPT persisted throughout the 12 months of the study period. DAPT is also superior to ASA in patients with ST‐elevation myocardial infarction (MI) (CLARITYTIMI 28 and COMMIT trials).13, 14 On the basis of these findings, DAPT has become the standard of care for patients with ACS. The American College of Cardiology (ACC)/American Heart Association (AHA)3 and the European Society of Cardiology18 recommend ASA treatment indefinitely for patients with ACS whether or not they underwent PCI. Clopidogrel is recommended for at least 12 months following ACS, especially for patients who receive a coronary stent.

Randomized Clinical Trials of Dual Antiplatelet Therapy With Clopidogrel Plus Aspirin Versus Aspirin Alonea
Trial Endpoints Results
  • Abbreviations: MI, myocardial infarction; CLARITYTIMI 28, Clopidogrel as Adjunctive Reperfusion TherapyThrombolysis in Myocardial Infarction; CI, confidence interval; COMMIT, Clopidogrel and Metoprolol in Myocardial Infarction; ACS, acute coronary syndromes; CURE, Clopidogrel in Unstable Angina to Prevent Recurrent Events; RR, relative risk; CREDO, Clopidogrel for the Reduction of Events During Observation; PCICURE, Analysis of CURE patients who underwent a percutaneous coronary intervention; TVR, target vessel revascularization.

  • Superscript numbers refer to references.

ST elevation MI
CLARITY‐TIMI13 Incidence of death, infarct‐related artery occlusion, or recurrent MI 36% reduction (95% CI 2447); P < .001
COMMIT14 Incidence of death, MI, or stroke 9% reduction (95% CI 314); P < .002
ACS without ST elevation
CURE15 Incidence of death, MI, or stroke 20% reduction (RR 0.80 [0.720.90]); P < .001
Bare‐metal stent placement
CREDO16 Incidence of death, MI, or stroke 27% reduction (95% CI 3.944.4); P < .02
PCI‐CURE17 Incidence of death, MI, or urgent TVR 30% reduction (RR 0.70 [0.500.97]); P < .03

Despite the proven efficacy of DAPT in ACS, about 15% of patients die or experience reinfarction within 30 days of diagnosis.19 The continued risk for thrombotic events could be due to delayed onset of platelet inhibition and to patient heterogeneity in responsiveness to therapy with ASA and/or clopidogrel.20 Consequently, the optimum dose for clopidogrel and ASA following ACS is uncertain. The CURRENT‐OASIS 7 trial evaluated the efficacy and safety of high‐dose clopidogrel (600‐mg loading dose, 150 mg once daily for 7 days, followed by 75 mg/d) versus standard‐dose clopidogrel (300‐mg loading dose, followed by 75 mg/d) and ASA (75‐100 mg versus 300‐325 mg/d) in patients with ACS who were treated medically, with or without stenting.21 In the overall study population as well as in patients who did not receive stenting, there was no significant difference in the combined rate of death from cardiovascular causes, MI, and stroke between patients receiving the high‐dose and the standard‐dose clopidogrel (4.2% vs 4.4%; P = .37) and high‐dose versus low‐dose ASA (4.2% vs 4.4%; P = .47). There were no significant differences in bleeding complications between the two clopidogrel treatment arms or between the high‐dose and low‐dose ASA groups.

The ACC/AHA guidelines recommend ASA, 75‐162 mg/d indefinitely after medical therapy without stenting (class I, level of evidence: A)3 and clopidogrel 75 mg/d for at least 1 month (class IA) and optimally for 1 year (class IB). Clopidogrel monotherapy is appropriate for patients with ACS who are unable to tolerate ASA due to either hypersensitivity or recent significant gastrointestinal bleeding.

As is the case after coronary stenting, interruption of DAPT soon after ACS may subject patients to high recurrence of cardiovascular events, although few data are available to support this observation. Interruption of DAPT due to bleeding complications or surgical procedures more than 1 month after ACS may be reasonable for a patient who did not receive a stent. Clinicians should restart DAPT after the surgical procedure once the bleeding risk becomes acceptable.

Dual Antiplatelet Therapy Following Coronary Stenting

Following Bare Metal Stents

Stent thrombosis occurs in approximately 20% of patients who receive bare metal stents (BMS) without DAPT22; the risk is highest in the first 30 days after implantation. The clinical presentation of stent thrombosis is often catastrophic: MI or sudden death occurs in over 60% of cases. DAPT reduces the incidence of stent thrombosis to a clinically acceptable level.22

In the ISAR trial of 517 patients treated with BMS for MI, suboptimal angioplasty, or other high‐risk clinical and anatomic features,23 patients were randomly assigned to treatment with ASA plus ticlopidine or ASA plus anticoagulation with heparin and warfarin. The primary endpoint of cardiac death, MI, coronary bypass surgery, or repeat angioplasty occurred in 1.5% of patients assigned to DAPT and 6.2% of those assigned to anticoagulant therapy (relative risk [RR], 0.25; 95% confidence interval [CI], 0.06‐0.77). The PCI‐CURE study evaluated patients who received BMS after ACS.17 The primary endpoint was a composite of cardiovascular death, MI, or urgent target‐vessel revascularization within 30 days of PCI. Long‐term administration of clopidogrel (8 months) conferred a lower rate of cardiovascular death, MI, or any revascularization (P = .03), with no significant difference in major bleeding between the groups (P = .64). In the CREDO trial,16 investigators evaluated 2116 patients undergoing PCI at 99 North American centers. Subjects received either a 300‐mg loading dose of clopidogrel or placebo 3‐24 hours before PCI. All patients then received clopidogrel 75 mg/d through day 28. For the following 12 months, patients in the loading dose group received clopidogrel, and those in the control group received placebo. All patients received ASA throughout the study. At 1 year, loading dose plus long‐term clopidogrel therapy conferred a 27% RR reduction (3% absolute risk reduction) in the combined endpoint of death, MI, or stroke (P = .02).

Based on these trials, the ACC and AHA recommend clopidogrel (75 mg/d) for a minimum of 1 month and optimally 12 months after BMS (class 1B).2 For patients at increased risk of bleeding, the ACC/AHA recommends a minimum of 2 weeks of clopidogrel. Although lifelong therapy with ASA is recommended, the optimal dose of ASA after BMS is unknown. However, on the basis of clinical trial protocols (no randomized data), guidelines recommend ASA 162 mg‐325 mg/d for at least 1 month, followed by indefinite use at a dose of 75‐162 mg. In patients for whom there is concern about bleeding, lower doses of ASA (75‐162 mg) are acceptable for the initial period after stent implantation.

Following Drug‐Eluting Stents

Drug‐eluting stents have become the standard percutaneous treatment for patients with symptomatic coronary artery disease. In 2005, a sampling of 140 US hospitals indicated that 94% of patients treated with a stent received at least one DES.24 Compared with BMS, restenosis and the need for revascularization are significantly less frequent. In contrast, unanticipated high rates of very late (>1 year) stent thrombosis have complicated DES.25 Because of the potentially lethal consequences of stent thrombosis, several authors have questioned the long‐term safety of DES2635 and examined the role of extended DAPT in reducing this delayed complication.27, 31, 36 Although the initial pivotal randomized trials of DES mandated clopidogrel use for only 3 months after sirolimus‐eluting stent and 6 months after paclitaxel‐eluting stent,37, 38 current guidelines recommend DAPT for at least 12 months after DES placement for patients who are not at high risk of bleeding.1

Although multiple studies have confirmed the benefit of DAPT, controversy remains regarding the extended use for more than 1 year. The only randomized trial that addressed this issue was nonblinded and underpowered.39 In this study of patients from two ongoing trials, the REAL‐LATE and ZEST‐LATE, extended duration DAPT (>12 months, median duration 19.2 months), did not reduce the incidence of MI and cardiac death.39 The rate of the primary endpoint was less than 25% of that expected (underpowered), and patients had already received clopidogrel for up to 24 months before enrollment.

The results from small, nonrandomized trials regarding this issue have been contradictory. Banerjee and colleagues studied 530 consecutive patients who underwent PCI (85% received a DES), were free of cardiovascular events for 6 months after PCI, and had follow‐up available for >12 months.26 In a multivariate analysis, clopidogrel use for 1 year was associated with lower mortality (hazard ratio [HR], 0.28; 95% CI, 0.140.59); this effect was independent of traditional cardiovascular risk factors, clinical presentation, and DES use. In a study at the Duke Heart Center40 among patients with DES (n = 528) who were event‐free at 12 months, continued clopidogrel use conferred lower rates of death (0% versus 3.5%; difference, 3.5%; 95% CI, 5.9% to 1.1%; P = .004) and death or MI (0% versus 4.5%; difference, 4.5%; 95% CI, 7.1% to 1.9%; P < .001) at 24 months. In the TYCOON registry,35 patients with DES receiving clopidogrel for 2 years had a rate of stent thrombosis (0.4%) that was similar to those with BMS (0.7%) but significantly lower than patients with DES and 1‐year DAPT (2.9%).

In contrast, Roy and colleagues33 found that clopidogrel cessation at 12 months did not predict stent thrombosis, and Park and colleagues32 reported that clopidogrel continuation beyond 1 year did not appear to decrease stent thrombosis or clinical events after DES implantation. Similarly, Stone et al.34 performed a landmark analysis on the basis of the prospective, double‐blind TAXUS‐II SR, TAXUS‐IV, and TAXUS‐V trials. The authors found that thienopyridine use beyond 1 year after DES may reduce stent thrombosis over the subsequent 12‐month period, but did not reduce rates of death and MI at 2 and 5 years after either DES or BMS.

Current guidelines recommend ASA 162‐325 mg/d for at least 3‐6 months, followed by treatment indefinitely at a dose of 75‐162 mg daily. Clopidogrel, on the other hand, is given at 75 mg/d for at least 12 months.

Warfarin After Acute Coronary Syndromes

Warfarin with different international normalized ratio (INR) goals alone or in combination with ASA has been evaluated after ACS. In an early trial, patients with recent (mean interval 27 days) MI were treated with warfarin alone versus placebo.41 Warfarin conferred a relative risk reduction in mortality of 24% (95% CI, 4‐44%; P = .027) at the expense of major bleeding rates of 0.6%/y. In the ASPECT trial,42 moderate to high intensity anticoagulation after MI resulted in a 53% and 40% reduction in the relative risk of reinfarction (annual incidence 2.3% versus 5.1%) and cerebrovascular events (annual incidence 0.7% versus 1.2%), respectively. In the WARIS II43 and ASPECT‐244 trials, moderate intensity warfarin (INR 2.0‐2.5) in combination with low‐dose ASA, compared with ASA alone, reduced the composite occurrence of death or nonfatal reinfarction, as well as recurrent coronary occlusion after ST‐segment elevation MI. High‐intensity warfarin therapy alone (INR 3.0‐4.0 for ASPECT, 2.8‐4.2 for WARISII) reduced ischemic vascular events compared with ASA alone. Not unexpectedly, major bleeding episodes were more common among patients receiving warfarin.

No randomized trials have compared DAPT with warfarin plus ASA for patients with ACS who did not receive stents. The ACC/AHA guidelines recommend warfarin for secondary prevention following ACS (class IIb). High‐intensity warfarin alone (INR 2.5‐3.5) or moderate intensity (INR 2.0‐2.5) with low‐dose ASA (75‐81 mg/d) may be reasonable for patients at high ischemic and low bleeding risk who are intolerant of clopidogrel (level of evidence: B). Fixed dose warfarin is not recommended by the ACC/AHA primarily on the basis of the Coumadin Aspirin Reinfarction Study (CARS) results. This study of patients following MI was discontinued prematurely because of a lack of incremental benefit of reduced‐dose ASA (80 mg/d) combined with either 1 or 3 mg of warfarin daily when compared with 160 mg/d of ASA alone.

Triple Therapy for PCI and Atrial Fibrillation

AF is the most frequent indication (70%) for long‐term therapy with warfarin in patients scheduled for stent placement.10 Clinical trials have shown that warfarin alone is superior to ASA, clopidogrel, or DAPT for prevention of stroke in patients with AF.45, 46 Although warfarin is indispensable in these settings, DAPT is similarly necessary after stent implantation. As triple therapy increases the risk of bleeding, the management of patients with AF and who have received stents remains controversial. This situation is particularly problematic among patients who have received DES and may benefit from extended DAPT. No randomized trials exist to clarify the optimal treatment in these patients; and the feasibility of such studies is questionable. Small, mostly retrospective, studies (Table 4) provide limited guidance on this issue; most studies focus on bleeding events rather than the cardiovascular efficacy of triple therapy. Because of these limitations, cardiovascular societies give IIb recommendation for either triple therapy or the combination of warfarin and clopidogrel in this setting and the level of evidence is C.1, 59, 60

Studies of Triple Therapy for Patients With Atrial Fibrillation and Coronary Stents
Author Year Type No. Major Bleeding, % (range) Thrombotic Events Comments
  • Abbreviations: Obs, observational; Pros, prospective; INR, international normalized ratio; GI, gastrointestinal; TT, triple therapy; PCI, percutaneous coronary intervention; MI, myocardial infarction; DAPT, dual antiplatelet therapy; ASA, aspirin; OR, odds ratio; BMI, body mass index; DM, diabetes mellitus; MACE, major adverse cardiovascular events; MACCE, major adverse cardiac and cerebral events; WAA, warfarin plus single antiplatelet agent; EB, early bleeding; LB, late (>48‐h) bleeding.

  • Transfusions.

  • Dual antiplatelet therapy vs triple therapy.

  • Warfarin versus nonwarfarin.

  • Triple therapy versus nontriple therapy.

  • Triple therapy versus dual antiplatelet therapy vs warfarin and single antiplatelet agent.

Studies of one group (triple therapy group)
Orford et al.47 2004 Obs 66 4.5 (0.211.2) N/A Bleeding occurred only with suboptimal control of INR and/or pre‐existing GI disease.
Porter et al.48 2006 Obs 180 1.6 (0.04.2) N/A Bleeding rates were acceptable with short‐term TT after PCI.
Rubboli et al.49 2007 Obs 49 18 (4.436.9) N/A Most hemorrhages occurred during TT.
Rogacka et al.50 2008 Obs 127 4.7 N/A One‐half of bleeding episodes were lethal and 67% occurred within the first month.
Studies comparing triple therapy with dual antiplatelet therapy
Mattichak et al.51 2005 Obs 82 21 vs. 3.5 (P = .028)a Reinfarction (29% vs. 9%, P = .15) TT did not reduce reinfarction after stenting for MI but increased rates of GI bleeding and transfusions.
Khurram et al.11 2006 Matched cohort 214 6.6 vs. 0 (P = .03) N/A Higher bleeding rates for TT than DAPT. INR range or ASA dosage did not influence the bleeding risk.
DeEugenio et al.9 2007 Matched cohort 194 OR 5.0 (1.417.8, P = .012) N/A ASA dose, age, sex, BMI, DM, hypertension, and procedural anticoagulant type or use did not influence risk of major bleeding.
Ruiz‐Nodar et al.52 2008 Obs 426 14.9 vs. 9.0 (P = .19) Mortality: OR 3.43 (1.617.54, P = .002)b MACE: OR 4.9 (2.1711.1, P < .01)b TT was associated with a nonsignificant increase in major bleeding but lower all‐cause mortality and fewer MACE.
Sarafoff et al.53 2008 Prosp 515 1.4 vs. 3.1 (P = .34). MACCE: OR 0.76 (0.481.21, P = .25) No difference in MACCE or bleeding at 2 y. Stent thrombosis did not differ between groups.
Rossini et al.54 2008 Prosp 204 10.8 vs. 4.9 (P = .1) MACE: 5.8% vs. 4.9% (P = .7) INR was targeted to the lower range (2.0‐2.5). No significant difference in bleeding rates for TT versus DAPT at 18 mo. Less bleeding for patients whose INR was within target (4.9 versus 33%, P = .00019). No significant differences in MACE between groups.
Uchida et al.55 2010 Obs 575 18 vs. 2.7 (P < .001) MACE (P = .108) No differences in MACE rates. More bleeding for patients on TT.
Studies comparing triple therapy versus dual antiplatelet therapy versus wararin and single antiplatelet agent
Karjalainen et al.10 2007 Matched cohort 239 OR 3.3 (1.38.6, P = .014)c MACE: OR 1.7 (1.0‐3.0, P = 0.05)c This study compared patients on warfarin at baseline with those not on warfarinall undergoing stenting. Patients on warfarin at baseline were treated with a variety of strategies. Baseline warfarin use increased both major bleeding and MACE at 1 y. ASA plus warfarin was inadequate to prevent stent thrombosis, and premature warfarin cessation was associated with stroke.
Manzano‐Fernandez et al.56 2008 Obs 104 EB (5.8 vs. 11.3, P = .33) LB (21.6 vs. 3.8, P = .006)d MACE: 25.5% vs. 21.0% (P = .53)d No difference in MACE rates between TT and non‐TT (WAA or DAPT). TT conferred higher late bleeding (>48 h).
Gao et al.57 2010 Prosp 622 2.9 vs. 1.8 vs. 2.5 (P = .725)e MACCE: 8.8% vs. 20.1% vs. 14.9% (P = .010)e Target INR was set as 1.8‐2.5. Lower stroke and MACCE rates for TT as compared with DAPT or WAA; no difference in bleeding.
Studies comparing triple therapy with warfarin and single antiplatelet agent
Nguyen et al.58 2007 Obs 800 5.9 vs. 46 (P = .46) Death: 5.1% vs. 6.5% (P = .47) Stroke: 0.7% vs. 3.4% (P = .02) MI: 3.3% vs. 4.5% (P = .49) TT and WAA lead to similar 6‐mo bleeding, death, and MI. Fewer strokes with TT (caveat: low event rate).

In the largest study to date, Nguyen et al.58 evaluated 800 patients who underwent stenting for ACS and were discharged on warfarin plus single antiplatelet agent or triple therapy as part of the GRACE registry. At 6 months, triple therapy conferred a significant reduction in stroke (0.7% versus 3.4%, P = .02) but not in death or MI. There were no differences in in‐hospital major bleeding events between the two groups (5.9% versus 4.6%; P = .46). Similarly, Sarafoff et al.53 reported no significant differences in the combined endpoint (death, MI, stent thrombosis or stroke) or bleeding complications among patients who received triple therapy or DAPT at 2 years of follow‐up. In contrast, Ruiz‐Nodar et al.52 showed that triple therapy, compared with DAPT, at discharge reduced the incidence of death (17.8% versus 27.8%; adjusted HR = 3.43; 95% CI, 1.617.54; P = .002) and major adverse cardiac events (26.5% versus 38.7%; adjusted HR = 4.9; 95% CI, 2.1711.1; P = .01), without a substantial increase in major bleeding events.

The value of combination antiplatelet therapy to prevent stent thrombosis in these patients is clearer in the study reported by Karjalainen et al.10 This case‐control study of 239 patients receiving warfarin at baseline who underwent PCI evaluated a primary endpoint of death, MI, target‐vessel revascularization, or stent thrombosis and a secondary endpoint of major bleeding and stroke to 12 months of follow‐up. Forty‐eight percent of patients received triple therapy, whereas 15.5% were discharged on DAPT. The remaining patients received warfarin plus a single antiplatelet agent. Stent thrombosis occurred more frequently among patients receiving warfarin plus ASA (15.2%) than among those receiving triple therapy (1.9%). As expected, stroke was more frequent in patients treated with DAPT (8.8%) than among those receiving triple therapy (2.8%). Major bleeding was similar between groups. Therapy with warfarin was an independent predictor of both major bleeding and major cardiac events at 1 year. This observation illustrates that the outcome of PCI in patients on chronic warfarin therapy is unsatisfactory irrespective of the antithrombotic combinations used, highlighting the need for better strategies to treat these patients.

Choice of Therapy and Management of Patients Eligible for Triple Therapy

Current guidelines for PCI do not provide guidance for patients with an indication for triple therapy due to a paucity of published evidence. Several ongoing prospective trials aim to address the management of these patients (AFCAS, ISAR‐TRIPLE). Pending further study, clinicians should consider the embolic risk (CHADS2 score), target INR, type of stent, bleeding risk, and duration of treatment when determining the appropriate antiplatelet/anticoagulant combinations. The CHADS2 score (Table 2) stratifies the risk for stroke among patients with AF,4 while the Outpatient Bleeding Risk Index (OBRI) allows estimation of bleeding risk.12, 61 The OBRI considers age > 65 years, prior stroke, prior gastrointestinal bleeding, and any of four comorbidities (recent MI, anemia, diabetes, or renal insufficiency) in order to stratify patients into three risk groups.61 Patients with three to four risk factors have a high risk of bleeding (23% at 3 months and 48% at 12 months) whereas patients with no risk factors have only a 3% risk of bleeding at 12 months. Unfortunately, advanced age and prior stroke appear in both OBRI and CHADS.

For patients with AF who are at high risk for embolic stroke (>3% per year), we recommend triple therapy for the shortest time possible, followed by warfarin and ASA indefinitely. In case of BMS, it is acceptable to shorten triple therapy duration to 1 month. The optimal duration of triple therapy for patients with DES is uncertain; recommended durations range from 3 months to 1 year.62 If the potential consequences of stent thrombosis are high due to a large amount of myocardium at risk, an extended period of triple therapy might be justified. For patients whose stroke risk is lower (CHADS2 score of 0‐1), the risk for bleeding likely outweighs any benefit from stroke prevention. In this instance, it is reasonable to use DAPT with ASA and clopidogrel for 1 month after BMS and 12 months after DES, followed by ASA, with or without warfarin, indefinitely. In a recently published study, patients with AF and a CHADS2 score of 1 had a yearly stroke risk of 1.25% while taking DAPT63; the risk of major bleeding for triple therapy is 6.1% per year.64

For patients who have a high bleeding risk, BMS are the preferred stent type as the duration of triple therapy might be limited to 4 weeks. To our knowledge, no randomized study has evaluated the outcome of patients with BMS compared with DES who also have an indication for warfarin. Because studies have suggested that clopidogrel is more effective than aspirin in preventing stent thrombosis and in reducing death or MI after coronary stenting,40, 65 warfarin and single antiplatelet therapy with clopidogrel might be a reasonable treatment option in patients with high bleeding risk. The WOEST study (NCT00769938), currently recruiting participants, is the first randomized study specifically designed to test this hypothesis.

Since gastrointestinal bleeding accounts for approximately 30‐40% of hemorrhagic events in patients on combined ASA and anticoagulant therapy, an expert consensus document recommended concomitant treatment with proton pump inhibitors (PPIs) to reduce this risk.66 In contrast, the 2009 Focused Updates of the ACC/AHA/SCAI Guidelines did not recommend the use of PPIs with DAPT in the setting of ACS.2 This is because of studies that show inhibition of platelet activation,67 and potential clinical harm,68 when clopidogrel is combined with certain PPIs that inhibit the CYP2C19 enzyme. However, to date there are no convincing randomized clinical trial data documenting an important clinical drug‐drug interaction. The U.S. Food and Drug Administration (FDA) advises that physicians avoid the use of clopidogrel in patients with impaired CYP2C19 function due to known genetic variation or due to concomitant use of drugs that inhibit CYP2C19 activity. More specifically, the FDA recommends avoiding the use of omeprazole and esomeprazole in patients taking clopidogrel.69

In particular, elderly patients have an increased risk of bleeding while receiving triple therapy. In a study of patients over age 65, 2.5% were hospitalized for bleeding in the first year after PCI, and the use of triple therapy was the strongest predictor of bleeding (more than threefold increase).70 One in five patients suffered death or MI at 1 year after hospitalization for bleeding.70 The basis for poor outcomes after hospitalization for bleeding in this population is multifactorial and may be due to the location of bleeding, associated hypercoagulable state, potential adverse impact of blood transfusion, withdrawal of warfarin therapy in patients with AF and PCI, and the premature discontinuation of DAPT. The use of nonsteroidal anti‐inflammatory drugs (NSAIDs) is common among the elderly and conferred a doubling of bleeding risk.70 Limiting the use of NSAID, the use of low‐dose ASA beyond 30 days after stent implantation, greater use of BMS, and maintaining INR at the lowest possible level (INR of 22.5) will reduce the risk for bleeding.57, 71

New Anticoagulants

Due to the high risk for bleeding with warfarin and the challenges inherent in INR monitoring, researchers have developed several novel anticoagulants whose advantages include fixed daily dosing and no need for monitoring. Dabigatran is a direct oral thrombin inhibitor that is already licensed in Europe and Canada for thromboprophylaxis after hip or knee surgery. It has also been studied in patients with AF. In the RE‐LY trial, patients with AF who received dabigatran 110 mg daily had rates of stroke and systemic embolism that were similar to those with warfarin, as well as lower rates of major hemorrhage.72 The randomized ReDEEM trial, reported at the AHA 2009 Scientific Sessions, was aimed at finding a dosage of dabigatran that achieves a good balance between clinical effectiveness and bleeding risk when combined with aspirin and clopidogrel after acute MI. Dosages ranging from 50 mg twice daily to 150 mg twice daily were all associated with 6‐month rates of bleeding lower than 2%. Hospitalists should view these encouraging results cautiously until the publication of ReDEEM trial results in a peer‐reviewed journal.

A variety of oral Xa antagonists are also being evaluated in patients with AF or ACS. These trials offer insight into triple therapy regimens that include ASA, clopidogrel, and an Xa antagonist. In a recent study of the oral Xa antagonist rivaroxaban, investigators stratified 3491 subjects with ACS according to whether they received concomitant ASA alone or ASA and clopidogrel.73 Subjects receiving ASA plus rivaroxaban had a modest increase in bleeding. Triple therapy, however, increased the composite bleeding rate from 3.5% in the DAPT group to approximately 6‐15% (low‐dose or high‐dose rivaroxaban, respectively). Rivaroxaban is currently under review by the FDA.

These novel agents might eventually replace warfarin for many or most indications for anticoagulation. It is imperative that future research compare the efficacy and risk of bleeding between triple therapy using these new agents and triple therapy with warfarin.

Conclusions

The management of patients on long‐term anticoagulation who require DAPT because of ACS or coronary stenting is challenging. DAPT may safely substitute for warfarin only for patients at low risk for a thromboembolic event (ie, low‐risk AF with low CHADS2 score). Clinicians should not interrupt warfarin in patients at higher risk (ie, intermediate to high‐risk AF, mechanical valves, or recent venous thromboembolism), even in the presence of DAPT. In these patients, triple therapy is the optimal approach following coronary stenting (and possibly during the initial period after ACS without stenting). As this approach confers a fivefold increase in bleeding complications compared with DAPT, careful monitoring of the INR, the addition of PPIs, and the exclusion of elderly patients who are at the highest risk for bleeding complications74 is recommended. The preferred duration of triple therapy after BMS in patients who require long‐term anticoagulation is 1 month, whereas the optimal duration after ACS or DES remains unresolved.

Dual antiplatelet therapy (DAPT) (aspirin plus a thienopyridine: clopidogrel or prasugrel) has become the standard treatment for patients with acute coronary syndromes (ACS) and after coronary stent placement (Table 1). Anticoagulant therapy with warfarin is indicated for stroke prevention in atrial fibrillation (AF), profound left ventricular dysfunction, and after mechanical heart valve replacement, as well as for treatment of deep venous thrombosis and pulmonary embolism (Table 2). It is estimated that 41% of the U.S. population over age 40 years is on some form of antiplatelet therapy,6 and 2.5 million patients, mostly elderly, are on long‐term warfarin therapy.7 More specifically, 5% of patients undergoing percutaneous coronary interventions (PCIs) also have an indication for warfarin.8 With widespread use of drug‐eluting stents (DES), the need for a longer duration of DAPT, and the increased age and complexity of hospitalized patients, the safety and challenges of triple therapy (combined DAPT and warfarin) have become more important to the practice of hospital medicine. Triple therapy may increase hospitalization rates, as the risk of major bleeding is four to five times higher than with DAPT.911 In contrast, DAPT is much less effective than warfarin alone in preventing embolic events in AF,12 and warfarin alone or in combination with aspirin (ASA) is inadequate therapy to prevent stent thrombosis. Even fewer data exist on the efficacy and safety of triple therapy in patients with mechanical valves or left ventricular dysfunction.

ACC/AHA/SCAI Recommendations for the Use of DAPT After PCI and UA/NSTEMIa
Class Recommendations Level of Evidence
  • Abbreviations: ACC/AHA/SCAI, The American College of Cardiology/American Heart Association/ Society for Cardiac Angiography and Interventions; DAPT, dual antiplatelet therapy; PCI, percutaneous coronary intervention; UA/NSTEMI, unstable angina/nonST‐elevation myocardial infarction; ASA, aspirin; BMS, bare metal stents; DES, drug eluting stents; ACS, acute coronary syndrome.

  • Superscript numbers refer to references.

  • Class I: conditions for which there is evidence for and/or general agreement that a given procedure or treatment is beneficial, useful, and effective.

  • Class II: conditions for which there is conflicting evidence and/or a divergence of opinion about the usefulness/efficacy of a procedure or treatment.

  • Class IIa: weight of evidence/opinion is in favor of usefulness/efficacy; Class IIb, usefulness/efficacy is less well established by evidence/opinion.

  • Class III: conditions for which there is evidence and/or general agreement that a procedure/treatment is not useful/effective and in some cases may be harmful.

  • Level of evidence A: data derived from multiple randomized clinical trials or meta‐analyses.

  • Level of evidence B: data derived from a single randomized trial or nonrandomized studies.

  • Level of evidence C: only consensus opinion of experts, case studies, or standard‐of‐care.

DAPT after PCI/stenting1
ASA
Class I ASA 325 mg/d after PCI for 1 mo (up to 6 mo depending on type of stent implanted) and then 7562 mg/d indefinitely B
Class IIa ASA 75‐325 mg/d indefinitely after brachytherapy unless risk of bleeding is significant C
In patients at risk of bleeding, a lower dose of 75‐162 mg/d is reasonable after stent implantation C
Thienopyridine
Class I Clopidogrel 75 mg/d after BMS for at least 1 mo and ideally up to 12 mo unless increased risk of bleeding (at least 2 wk) B
Clopidogrel 75 mg/d after DES for at least 12 mo if not at high risk for bleeding B
2009 focus update2: Clopidogrel 75 mg daily or prasugrel 10 mg daily for at least 12 mo after BMS or DES for ACS B
Class IIa Clopidogrel 75 mg/d indefinitely after brachytherapy unless risk of bleeding is significant C
Class IIb In patients with potential for lethal or catastrophic stent thrombosis, consider platelet aggregation studies and increase clopidogrel dose to 150 mg/d if <50% inhibition of platelet aggregation is seen C
Continuation of clopidogrel 75 mg/day beyond 12 mo is reasonable after DES C
2009 focus update2: consider continuation of clopidogrel or prasugrel beyond 15 mo after DES placement C
DAPT for UA/NSTEMI without stenting3
ASA
Class I Continue ASA (75 to 162 mg/d) indefinitely A
Clopidogrel
Class 1 Clopidogrel (75 mg/d) for at least 1 mo (A) and ideally for up to 1 y B
Dipyridamole
Class III Dipyridamole is not recommended because it has not been shown to be effective A
Risk of Thromboembolic Events per Year for Patients With Atrial Fibrillation or Mechanical Valvea
  • Abbreviation: CHADS2, congestive heart failure, hypertension, age, diabetes, prior stroke or transient ischemic attack; ASA, aspirin.

  • Superscript numbers refer to references.

  • The risk of thromboembolic events are highest for caged ball valves, followed by tilting disc valves, followed by bileaflet valves.

  • This category includes all reported valve thrombosis, major embolism, and minor embolism.

Condition Risk (%)
Atrial fibrillation (without anticoagulation)4
Low‐risk atrial fibrillation (CHADS2 score 0) 1.9
Intermediate‐risk atrial fibrillation (CHADS2 score 1) 2.8
High‐risk atrial fibrillation (CHADS2 score 2‐6) 418
Mechanical heart valve5b
Mechanical heart valve (without anticoagulation) 8.6c
Mechanical heart valve (treated with ASA alone) 7.5c
Mechanical heart valve (treated with warfarin) 1.8c
Mechanical aortic valve (treated with warfarin) 1.1c
Mechanical mitral valve (treated with warfarin) 2.7c

Hospitalists commonly care for patients on triple therapy; certain indications are appropriate and supported from the available literature while others lack evidence. Knowledge of existing practice guidelines and of supporting research studies leads to optimal management of these complicated patients, and minimizes excessive morbidity from bleeding complications or thromboembolic events such as strokes and stent thrombosis.

In the first part of this article, we present the evidence that supports current recommendations for DAPT or warfarin in specific medical conditions. We also address controversies and unanswered questions. The second part of this review focuses on the available data and provides guidance on the optimal care of patients on triple therapy.

Dual Antiplatelet Therapy Following Acute Coronary Syndromes

Table 3 summarizes key randomized trials of DAPT versus ASA alone in several clinical scenarios. The addition of clopidogrel to ASA in patients with nonST‐elevation ACS reduced the risk of adverse ischemic outcomes in the clopidogrel in unstable angina to prevent recurrent events (CURE) trial,15 as well as in its substudy, the PCI‐CURE (patients with ACS who have undergone stenting).17 In the main CURE study, the study groups diverged within the first 30 days after randomization and the benefit of DAPT persisted throughout the 12 months of the study period. DAPT is also superior to ASA in patients with ST‐elevation myocardial infarction (MI) (CLARITYTIMI 28 and COMMIT trials).13, 14 On the basis of these findings, DAPT has become the standard of care for patients with ACS. The American College of Cardiology (ACC)/American Heart Association (AHA)3 and the European Society of Cardiology18 recommend ASA treatment indefinitely for patients with ACS whether or not they underwent PCI. Clopidogrel is recommended for at least 12 months following ACS, especially for patients who receive a coronary stent.

Randomized Clinical Trials of Dual Antiplatelet Therapy With Clopidogrel Plus Aspirin Versus Aspirin Alonea
Trial Endpoints Results
  • Abbreviations: MI, myocardial infarction; CLARITYTIMI 28, Clopidogrel as Adjunctive Reperfusion TherapyThrombolysis in Myocardial Infarction; CI, confidence interval; COMMIT, Clopidogrel and Metoprolol in Myocardial Infarction; ACS, acute coronary syndromes; CURE, Clopidogrel in Unstable Angina to Prevent Recurrent Events; RR, relative risk; CREDO, Clopidogrel for the Reduction of Events During Observation; PCICURE, Analysis of CURE patients who underwent a percutaneous coronary intervention; TVR, target vessel revascularization.

  • Superscript numbers refer to references.

ST elevation MI
CLARITY‐TIMI13 Incidence of death, infarct‐related artery occlusion, or recurrent MI 36% reduction (95% CI 2447); P < .001
COMMIT14 Incidence of death, MI, or stroke 9% reduction (95% CI 314); P < .002
ACS without ST elevation
CURE15 Incidence of death, MI, or stroke 20% reduction (RR 0.80 [0.720.90]); P < .001
Bare‐metal stent placement
CREDO16 Incidence of death, MI, or stroke 27% reduction (95% CI 3.944.4); P < .02
PCI‐CURE17 Incidence of death, MI, or urgent TVR 30% reduction (RR 0.70 [0.500.97]); P < .03

Despite the proven efficacy of DAPT in ACS, about 15% of patients die or experience reinfarction within 30 days of diagnosis.19 The continued risk for thrombotic events could be due to delayed onset of platelet inhibition and to patient heterogeneity in responsiveness to therapy with ASA and/or clopidogrel.20 Consequently, the optimum dose for clopidogrel and ASA following ACS is uncertain. The CURRENT‐OASIS 7 trial evaluated the efficacy and safety of high‐dose clopidogrel (600‐mg loading dose, 150 mg once daily for 7 days, followed by 75 mg/d) versus standard‐dose clopidogrel (300‐mg loading dose, followed by 75 mg/d) and ASA (75‐100 mg versus 300‐325 mg/d) in patients with ACS who were treated medically, with or without stenting.21 In the overall study population as well as in patients who did not receive stenting, there was no significant difference in the combined rate of death from cardiovascular causes, MI, and stroke between patients receiving the high‐dose and the standard‐dose clopidogrel (4.2% vs 4.4%; P = .37) and high‐dose versus low‐dose ASA (4.2% vs 4.4%; P = .47). There were no significant differences in bleeding complications between the two clopidogrel treatment arms or between the high‐dose and low‐dose ASA groups.

The ACC/AHA guidelines recommend ASA, 75‐162 mg/d indefinitely after medical therapy without stenting (class I, level of evidence: A)3 and clopidogrel 75 mg/d for at least 1 month (class IA) and optimally for 1 year (class IB). Clopidogrel monotherapy is appropriate for patients with ACS who are unable to tolerate ASA due to either hypersensitivity or recent significant gastrointestinal bleeding.

As is the case after coronary stenting, interruption of DAPT soon after ACS may subject patients to high recurrence of cardiovascular events, although few data are available to support this observation. Interruption of DAPT due to bleeding complications or surgical procedures more than 1 month after ACS may be reasonable for a patient who did not receive a stent. Clinicians should restart DAPT after the surgical procedure once the bleeding risk becomes acceptable.

Dual Antiplatelet Therapy Following Coronary Stenting

Following Bare Metal Stents

Stent thrombosis occurs in approximately 20% of patients who receive bare metal stents (BMS) without DAPT22; the risk is highest in the first 30 days after implantation. The clinical presentation of stent thrombosis is often catastrophic: MI or sudden death occurs in over 60% of cases. DAPT reduces the incidence of stent thrombosis to a clinically acceptable level.22

In the ISAR trial of 517 patients treated with BMS for MI, suboptimal angioplasty, or other high‐risk clinical and anatomic features,23 patients were randomly assigned to treatment with ASA plus ticlopidine or ASA plus anticoagulation with heparin and warfarin. The primary endpoint of cardiac death, MI, coronary bypass surgery, or repeat angioplasty occurred in 1.5% of patients assigned to DAPT and 6.2% of those assigned to anticoagulant therapy (relative risk [RR], 0.25; 95% confidence interval [CI], 0.06‐0.77). The PCI‐CURE study evaluated patients who received BMS after ACS.17 The primary endpoint was a composite of cardiovascular death, MI, or urgent target‐vessel revascularization within 30 days of PCI. Long‐term administration of clopidogrel (8 months) conferred a lower rate of cardiovascular death, MI, or any revascularization (P = .03), with no significant difference in major bleeding between the groups (P = .64). In the CREDO trial,16 investigators evaluated 2116 patients undergoing PCI at 99 North American centers. Subjects received either a 300‐mg loading dose of clopidogrel or placebo 3‐24 hours before PCI. All patients then received clopidogrel 75 mg/d through day 28. For the following 12 months, patients in the loading dose group received clopidogrel, and those in the control group received placebo. All patients received ASA throughout the study. At 1 year, loading dose plus long‐term clopidogrel therapy conferred a 27% RR reduction (3% absolute risk reduction) in the combined endpoint of death, MI, or stroke (P = .02).

Based on these trials, the ACC and AHA recommend clopidogrel (75 mg/d) for a minimum of 1 month and optimally 12 months after BMS (class 1B).2 For patients at increased risk of bleeding, the ACC/AHA recommends a minimum of 2 weeks of clopidogrel. Although lifelong therapy with ASA is recommended, the optimal dose of ASA after BMS is unknown. However, on the basis of clinical trial protocols (no randomized data), guidelines recommend ASA 162 mg‐325 mg/d for at least 1 month, followed by indefinite use at a dose of 75‐162 mg. In patients for whom there is concern about bleeding, lower doses of ASA (75‐162 mg) are acceptable for the initial period after stent implantation.

Following Drug‐Eluting Stents

Drug‐eluting stents have become the standard percutaneous treatment for patients with symptomatic coronary artery disease. In 2005, a sampling of 140 US hospitals indicated that 94% of patients treated with a stent received at least one DES.24 Compared with BMS, restenosis and the need for revascularization are significantly less frequent. In contrast, unanticipated high rates of very late (>1 year) stent thrombosis have complicated DES.25 Because of the potentially lethal consequences of stent thrombosis, several authors have questioned the long‐term safety of DES2635 and examined the role of extended DAPT in reducing this delayed complication.27, 31, 36 Although the initial pivotal randomized trials of DES mandated clopidogrel use for only 3 months after sirolimus‐eluting stent and 6 months after paclitaxel‐eluting stent,37, 38 current guidelines recommend DAPT for at least 12 months after DES placement for patients who are not at high risk of bleeding.1

Although multiple studies have confirmed the benefit of DAPT, controversy remains regarding the extended use for more than 1 year. The only randomized trial that addressed this issue was nonblinded and underpowered.39 In this study of patients from two ongoing trials, the REAL‐LATE and ZEST‐LATE, extended duration DAPT (>12 months, median duration 19.2 months), did not reduce the incidence of MI and cardiac death.39 The rate of the primary endpoint was less than 25% of that expected (underpowered), and patients had already received clopidogrel for up to 24 months before enrollment.

The results from small, nonrandomized trials regarding this issue have been contradictory. Banerjee and colleagues studied 530 consecutive patients who underwent PCI (85% received a DES), were free of cardiovascular events for 6 months after PCI, and had follow‐up available for >12 months.26 In a multivariate analysis, clopidogrel use for 1 year was associated with lower mortality (hazard ratio [HR], 0.28; 95% CI, 0.140.59); this effect was independent of traditional cardiovascular risk factors, clinical presentation, and DES use. In a study at the Duke Heart Center40 among patients with DES (n = 528) who were event‐free at 12 months, continued clopidogrel use conferred lower rates of death (0% versus 3.5%; difference, 3.5%; 95% CI, 5.9% to 1.1%; P = .004) and death or MI (0% versus 4.5%; difference, 4.5%; 95% CI, 7.1% to 1.9%; P < .001) at 24 months. In the TYCOON registry,35 patients with DES receiving clopidogrel for 2 years had a rate of stent thrombosis (0.4%) that was similar to those with BMS (0.7%) but significantly lower than patients with DES and 1‐year DAPT (2.9%).

In contrast, Roy and colleagues33 found that clopidogrel cessation at 12 months did not predict stent thrombosis, and Park and colleagues32 reported that clopidogrel continuation beyond 1 year did not appear to decrease stent thrombosis or clinical events after DES implantation. Similarly, Stone et al.34 performed a landmark analysis on the basis of the prospective, double‐blind TAXUS‐II SR, TAXUS‐IV, and TAXUS‐V trials. The authors found that thienopyridine use beyond 1 year after DES may reduce stent thrombosis over the subsequent 12‐month period, but did not reduce rates of death and MI at 2 and 5 years after either DES or BMS.

Current guidelines recommend ASA 162‐325 mg/d for at least 3‐6 months, followed by treatment indefinitely at a dose of 75‐162 mg daily. Clopidogrel, on the other hand, is given at 75 mg/d for at least 12 months.

Warfarin After Acute Coronary Syndromes

Warfarin with different international normalized ratio (INR) goals alone or in combination with ASA has been evaluated after ACS. In an early trial, patients with recent (mean interval 27 days) MI were treated with warfarin alone versus placebo.41 Warfarin conferred a relative risk reduction in mortality of 24% (95% CI, 4‐44%; P = .027) at the expense of major bleeding rates of 0.6%/y. In the ASPECT trial,42 moderate to high intensity anticoagulation after MI resulted in a 53% and 40% reduction in the relative risk of reinfarction (annual incidence 2.3% versus 5.1%) and cerebrovascular events (annual incidence 0.7% versus 1.2%), respectively. In the WARIS II43 and ASPECT‐244 trials, moderate intensity warfarin (INR 2.0‐2.5) in combination with low‐dose ASA, compared with ASA alone, reduced the composite occurrence of death or nonfatal reinfarction, as well as recurrent coronary occlusion after ST‐segment elevation MI. High‐intensity warfarin therapy alone (INR 3.0‐4.0 for ASPECT, 2.8‐4.2 for WARISII) reduced ischemic vascular events compared with ASA alone. Not unexpectedly, major bleeding episodes were more common among patients receiving warfarin.

No randomized trials have compared DAPT with warfarin plus ASA for patients with ACS who did not receive stents. The ACC/AHA guidelines recommend warfarin for secondary prevention following ACS (class IIb). High‐intensity warfarin alone (INR 2.5‐3.5) or moderate intensity (INR 2.0‐2.5) with low‐dose ASA (75‐81 mg/d) may be reasonable for patients at high ischemic and low bleeding risk who are intolerant of clopidogrel (level of evidence: B). Fixed dose warfarin is not recommended by the ACC/AHA primarily on the basis of the Coumadin Aspirin Reinfarction Study (CARS) results. This study of patients following MI was discontinued prematurely because of a lack of incremental benefit of reduced‐dose ASA (80 mg/d) combined with either 1 or 3 mg of warfarin daily when compared with 160 mg/d of ASA alone.

Triple Therapy for PCI and Atrial Fibrillation

AF is the most frequent indication (70%) for long‐term therapy with warfarin in patients scheduled for stent placement.10 Clinical trials have shown that warfarin alone is superior to ASA, clopidogrel, or DAPT for prevention of stroke in patients with AF.45, 46 Although warfarin is indispensable in these settings, DAPT is similarly necessary after stent implantation. As triple therapy increases the risk of bleeding, the management of patients with AF and who have received stents remains controversial. This situation is particularly problematic among patients who have received DES and may benefit from extended DAPT. No randomized trials exist to clarify the optimal treatment in these patients; and the feasibility of such studies is questionable. Small, mostly retrospective, studies (Table 4) provide limited guidance on this issue; most studies focus on bleeding events rather than the cardiovascular efficacy of triple therapy. Because of these limitations, cardiovascular societies give IIb recommendation for either triple therapy or the combination of warfarin and clopidogrel in this setting and the level of evidence is C.1, 59, 60

Studies of Triple Therapy for Patients With Atrial Fibrillation and Coronary Stents
Author Year Type No. Major Bleeding, % (range) Thrombotic Events Comments
  • Abbreviations: Obs, observational; Pros, prospective; INR, international normalized ratio; GI, gastrointestinal; TT, triple therapy; PCI, percutaneous coronary intervention; MI, myocardial infarction; DAPT, dual antiplatelet therapy; ASA, aspirin; OR, odds ratio; BMI, body mass index; DM, diabetes mellitus; MACE, major adverse cardiovascular events; MACCE, major adverse cardiac and cerebral events; WAA, warfarin plus single antiplatelet agent; EB, early bleeding; LB, late (>48‐h) bleeding.

  • Transfusions.

  • Dual antiplatelet therapy vs triple therapy.

  • Warfarin versus nonwarfarin.

  • Triple therapy versus nontriple therapy.

  • Triple therapy versus dual antiplatelet therapy vs warfarin and single antiplatelet agent.

Studies of one group (triple therapy group)
Orford et al.47 2004 Obs 66 4.5 (0.211.2) N/A Bleeding occurred only with suboptimal control of INR and/or pre‐existing GI disease.
Porter et al.48 2006 Obs 180 1.6 (0.04.2) N/A Bleeding rates were acceptable with short‐term TT after PCI.
Rubboli et al.49 2007 Obs 49 18 (4.436.9) N/A Most hemorrhages occurred during TT.
Rogacka et al.50 2008 Obs 127 4.7 N/A One‐half of bleeding episodes were lethal and 67% occurred within the first month.
Studies comparing triple therapy with dual antiplatelet therapy
Mattichak et al.51 2005 Obs 82 21 vs. 3.5 (P = .028)a Reinfarction (29% vs. 9%, P = .15) TT did not reduce reinfarction after stenting for MI but increased rates of GI bleeding and transfusions.
Khurram et al.11 2006 Matched cohort 214 6.6 vs. 0 (P = .03) N/A Higher bleeding rates for TT than DAPT. INR range or ASA dosage did not influence the bleeding risk.
DeEugenio et al.9 2007 Matched cohort 194 OR 5.0 (1.417.8, P = .012) N/A ASA dose, age, sex, BMI, DM, hypertension, and procedural anticoagulant type or use did not influence risk of major bleeding.
Ruiz‐Nodar et al.52 2008 Obs 426 14.9 vs. 9.0 (P = .19) Mortality: OR 3.43 (1.617.54, P = .002)b MACE: OR 4.9 (2.1711.1, P < .01)b TT was associated with a nonsignificant increase in major bleeding but lower all‐cause mortality and fewer MACE.
Sarafoff et al.53 2008 Prosp 515 1.4 vs. 3.1 (P = .34). MACCE: OR 0.76 (0.481.21, P = .25) No difference in MACCE or bleeding at 2 y. Stent thrombosis did not differ between groups.
Rossini et al.54 2008 Prosp 204 10.8 vs. 4.9 (P = .1) MACE: 5.8% vs. 4.9% (P = .7) INR was targeted to the lower range (2.0‐2.5). No significant difference in bleeding rates for TT versus DAPT at 18 mo. Less bleeding for patients whose INR was within target (4.9 versus 33%, P = .00019). No significant differences in MACE between groups.
Uchida et al.55 2010 Obs 575 18 vs. 2.7 (P < .001) MACE (P = .108) No differences in MACE rates. More bleeding for patients on TT.
Studies comparing triple therapy versus dual antiplatelet therapy versus wararin and single antiplatelet agent
Karjalainen et al.10 2007 Matched cohort 239 OR 3.3 (1.38.6, P = .014)c MACE: OR 1.7 (1.0‐3.0, P = 0.05)c This study compared patients on warfarin at baseline with those not on warfarinall undergoing stenting. Patients on warfarin at baseline were treated with a variety of strategies. Baseline warfarin use increased both major bleeding and MACE at 1 y. ASA plus warfarin was inadequate to prevent stent thrombosis, and premature warfarin cessation was associated with stroke.
Manzano‐Fernandez et al.56 2008 Obs 104 EB (5.8 vs. 11.3, P = .33) LB (21.6 vs. 3.8, P = .006)d MACE: 25.5% vs. 21.0% (P = .53)d No difference in MACE rates between TT and non‐TT (WAA or DAPT). TT conferred higher late bleeding (>48 h).
Gao et al.57 2010 Prosp 622 2.9 vs. 1.8 vs. 2.5 (P = .725)e MACCE: 8.8% vs. 20.1% vs. 14.9% (P = .010)e Target INR was set as 1.8‐2.5. Lower stroke and MACCE rates for TT as compared with DAPT or WAA; no difference in bleeding.
Studies comparing triple therapy with warfarin and single antiplatelet agent
Nguyen et al.58 2007 Obs 800 5.9 vs. 46 (P = .46) Death: 5.1% vs. 6.5% (P = .47) Stroke: 0.7% vs. 3.4% (P = .02) MI: 3.3% vs. 4.5% (P = .49) TT and WAA lead to similar 6‐mo bleeding, death, and MI. Fewer strokes with TT (caveat: low event rate).

In the largest study to date, Nguyen et al.58 evaluated 800 patients who underwent stenting for ACS and were discharged on warfarin plus single antiplatelet agent or triple therapy as part of the GRACE registry. At 6 months, triple therapy conferred a significant reduction in stroke (0.7% versus 3.4%, P = .02) but not in death or MI. There were no differences in in‐hospital major bleeding events between the two groups (5.9% versus 4.6%; P = .46). Similarly, Sarafoff et al.53 reported no significant differences in the combined endpoint (death, MI, stent thrombosis or stroke) or bleeding complications among patients who received triple therapy or DAPT at 2 years of follow‐up. In contrast, Ruiz‐Nodar et al.52 showed that triple therapy, compared with DAPT, at discharge reduced the incidence of death (17.8% versus 27.8%; adjusted HR = 3.43; 95% CI, 1.617.54; P = .002) and major adverse cardiac events (26.5% versus 38.7%; adjusted HR = 4.9; 95% CI, 2.1711.1; P = .01), without a substantial increase in major bleeding events.

The value of combination antiplatelet therapy to prevent stent thrombosis in these patients is clearer in the study reported by Karjalainen et al.10 This case‐control study of 239 patients receiving warfarin at baseline who underwent PCI evaluated a primary endpoint of death, MI, target‐vessel revascularization, or stent thrombosis and a secondary endpoint of major bleeding and stroke to 12 months of follow‐up. Forty‐eight percent of patients received triple therapy, whereas 15.5% were discharged on DAPT. The remaining patients received warfarin plus a single antiplatelet agent. Stent thrombosis occurred more frequently among patients receiving warfarin plus ASA (15.2%) than among those receiving triple therapy (1.9%). As expected, stroke was more frequent in patients treated with DAPT (8.8%) than among those receiving triple therapy (2.8%). Major bleeding was similar between groups. Therapy with warfarin was an independent predictor of both major bleeding and major cardiac events at 1 year. This observation illustrates that the outcome of PCI in patients on chronic warfarin therapy is unsatisfactory irrespective of the antithrombotic combinations used, highlighting the need for better strategies to treat these patients.

Choice of Therapy and Management of Patients Eligible for Triple Therapy

Current guidelines for PCI do not provide guidance for patients with an indication for triple therapy due to a paucity of published evidence. Several ongoing prospective trials aim to address the management of these patients (AFCAS, ISAR‐TRIPLE). Pending further study, clinicians should consider the embolic risk (CHADS2 score), target INR, type of stent, bleeding risk, and duration of treatment when determining the appropriate antiplatelet/anticoagulant combinations. The CHADS2 score (Table 2) stratifies the risk for stroke among patients with AF,4 while the Outpatient Bleeding Risk Index (OBRI) allows estimation of bleeding risk.12, 61 The OBRI considers age > 65 years, prior stroke, prior gastrointestinal bleeding, and any of four comorbidities (recent MI, anemia, diabetes, or renal insufficiency) in order to stratify patients into three risk groups.61 Patients with three to four risk factors have a high risk of bleeding (23% at 3 months and 48% at 12 months) whereas patients with no risk factors have only a 3% risk of bleeding at 12 months. Unfortunately, advanced age and prior stroke appear in both OBRI and CHADS.

For patients with AF who are at high risk for embolic stroke (>3% per year), we recommend triple therapy for the shortest time possible, followed by warfarin and ASA indefinitely. In case of BMS, it is acceptable to shorten triple therapy duration to 1 month. The optimal duration of triple therapy for patients with DES is uncertain; recommended durations range from 3 months to 1 year.62 If the potential consequences of stent thrombosis are high due to a large amount of myocardium at risk, an extended period of triple therapy might be justified. For patients whose stroke risk is lower (CHADS2 score of 0‐1), the risk for bleeding likely outweighs any benefit from stroke prevention. In this instance, it is reasonable to use DAPT with ASA and clopidogrel for 1 month after BMS and 12 months after DES, followed by ASA, with or without warfarin, indefinitely. In a recently published study, patients with AF and a CHADS2 score of 1 had a yearly stroke risk of 1.25% while taking DAPT63; the risk of major bleeding for triple therapy is 6.1% per year.64

For patients who have a high bleeding risk, BMS are the preferred stent type as the duration of triple therapy might be limited to 4 weeks. To our knowledge, no randomized study has evaluated the outcome of patients with BMS compared with DES who also have an indication for warfarin. Because studies have suggested that clopidogrel is more effective than aspirin in preventing stent thrombosis and in reducing death or MI after coronary stenting,40, 65 warfarin and single antiplatelet therapy with clopidogrel might be a reasonable treatment option in patients with high bleeding risk. The WOEST study (NCT00769938), currently recruiting participants, is the first randomized study specifically designed to test this hypothesis.

Since gastrointestinal bleeding accounts for approximately 30‐40% of hemorrhagic events in patients on combined ASA and anticoagulant therapy, an expert consensus document recommended concomitant treatment with proton pump inhibitors (PPIs) to reduce this risk.66 In contrast, the 2009 Focused Updates of the ACC/AHA/SCAI Guidelines did not recommend the use of PPIs with DAPT in the setting of ACS.2 This is because of studies that show inhibition of platelet activation,67 and potential clinical harm,68 when clopidogrel is combined with certain PPIs that inhibit the CYP2C19 enzyme. However, to date there are no convincing randomized clinical trial data documenting an important clinical drug‐drug interaction. The U.S. Food and Drug Administration (FDA) advises that physicians avoid the use of clopidogrel in patients with impaired CYP2C19 function due to known genetic variation or due to concomitant use of drugs that inhibit CYP2C19 activity. More specifically, the FDA recommends avoiding the use of omeprazole and esomeprazole in patients taking clopidogrel.69

In particular, elderly patients have an increased risk of bleeding while receiving triple therapy. In a study of patients over age 65, 2.5% were hospitalized for bleeding in the first year after PCI, and the use of triple therapy was the strongest predictor of bleeding (more than threefold increase).70 One in five patients suffered death or MI at 1 year after hospitalization for bleeding.70 The basis for poor outcomes after hospitalization for bleeding in this population is multifactorial and may be due to the location of bleeding, associated hypercoagulable state, potential adverse impact of blood transfusion, withdrawal of warfarin therapy in patients with AF and PCI, and the premature discontinuation of DAPT. The use of nonsteroidal anti‐inflammatory drugs (NSAIDs) is common among the elderly and conferred a doubling of bleeding risk.70 Limiting the use of NSAID, the use of low‐dose ASA beyond 30 days after stent implantation, greater use of BMS, and maintaining INR at the lowest possible level (INR of 22.5) will reduce the risk for bleeding.57, 71

New Anticoagulants

Due to the high risk for bleeding with warfarin and the challenges inherent in INR monitoring, researchers have developed several novel anticoagulants whose advantages include fixed daily dosing and no need for monitoring. Dabigatran is a direct oral thrombin inhibitor that is already licensed in Europe and Canada for thromboprophylaxis after hip or knee surgery. It has also been studied in patients with AF. In the RE‐LY trial, patients with AF who received dabigatran 110 mg daily had rates of stroke and systemic embolism that were similar to those with warfarin, as well as lower rates of major hemorrhage.72 The randomized ReDEEM trial, reported at the AHA 2009 Scientific Sessions, was aimed at finding a dosage of dabigatran that achieves a good balance between clinical effectiveness and bleeding risk when combined with aspirin and clopidogrel after acute MI. Dosages ranging from 50 mg twice daily to 150 mg twice daily were all associated with 6‐month rates of bleeding lower than 2%. Hospitalists should view these encouraging results cautiously until the publication of ReDEEM trial results in a peer‐reviewed journal.

A variety of oral Xa antagonists are also being evaluated in patients with AF or ACS. These trials offer insight into triple therapy regimens that include ASA, clopidogrel, and an Xa antagonist. In a recent study of the oral Xa antagonist rivaroxaban, investigators stratified 3491 subjects with ACS according to whether they received concomitant ASA alone or ASA and clopidogrel.73 Subjects receiving ASA plus rivaroxaban had a modest increase in bleeding. Triple therapy, however, increased the composite bleeding rate from 3.5% in the DAPT group to approximately 6‐15% (low‐dose or high‐dose rivaroxaban, respectively). Rivaroxaban is currently under review by the FDA.

These novel agents might eventually replace warfarin for many or most indications for anticoagulation. It is imperative that future research compare the efficacy and risk of bleeding between triple therapy using these new agents and triple therapy with warfarin.

Conclusions

The management of patients on long‐term anticoagulation who require DAPT because of ACS or coronary stenting is challenging. DAPT may safely substitute for warfarin only for patients at low risk for a thromboembolic event (ie, low‐risk AF with low CHADS2 score). Clinicians should not interrupt warfarin in patients at higher risk (ie, intermediate to high‐risk AF, mechanical valves, or recent venous thromboembolism), even in the presence of DAPT. In these patients, triple therapy is the optimal approach following coronary stenting (and possibly during the initial period after ACS without stenting). As this approach confers a fivefold increase in bleeding complications compared with DAPT, careful monitoring of the INR, the addition of PPIs, and the exclusion of elderly patients who are at the highest risk for bleeding complications74 is recommended. The preferred duration of triple therapy after BMS in patients who require long‐term anticoagulation is 1 month, whereas the optimal duration after ACS or DES remains unresolved.

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  70. Ko DT,Yun L,Wijeysundera HC, et al.Incidence, predictors, and prognostic implications of hospitalization for late bleeding after percutaneous coronary intervention for patients older than 65 years.Circ Cardiovasc Interv2010;3:140147.
  71. Rubboli A,Halperin JL,Airaksinen KE, et al.Antithrombotic therapy in patients treated with oral anticoagulation undergoing coronary artery stenting. An expert consensus document with focus on atrial fibrillation.Ann Med2008;40:428436.
  72. Connolly SJ,Ezekowitz MD,Yusuf S, et al.Dabigatran versus warfarin in patients with atrial fibrillation.N Engl J Med2009;361:11391151.
  73. Mega JL,Braunwald E,Mohanavelu S, et al.Rivaroxaban versus placebo in patients with acute coronary syndromes (ATLAS ACS‐TIMI 46): a randomised, double‐blind, phase II trial.Lancet2009;374:2938.
  74. Buresly K,Eisenberg MJ,Zhang X,Pilote L.Bleeding complications associated with combinations of aspirin, thienopyridine derivatives, and warfarin in elderly patients following acute myocardial infarction.Arch Intern Med2005;165:784789.
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  42. Effect of long‐term oral anticoagulant treatment on mortality and cardiovascular morbidity after myocardial infarction.Anticoagulants in the Secondary Prevention of Events in Coronary Thrombosis (ASPECT) Research Group.Lancet1994;343:499503.
  43. Hurlen M,Abdelnoor M,Smith P,Erikssen J,Arnesen H.Warfarin, aspirin, or both after myocardial infarction.N Engl J Med2002;347:969974.
  44. van Es RF,Jonker JJ,Verheugt FW,Deckers JW,Grobbee DE.Aspirin and coumadin after acute coronary syndromes (the ASPECT‐2 study): a randomised controlled trial.Lancet2002;360:109113.
  45. Connolly S,Pogue J,Hart R, et al.Clopidogrel plus aspirin versus oral anticoagulation for atrial fibrillation in the Atrial fibrillation Clopidogrel Trial with Irbesartan for prevention of Vascular Events (ACTIVE W): a randomised controlled trial.Lancet2006;367:19031912.
  46. Hart RG,Benavente O,McBride R,Pearce LA.Antithrombotic therapy to prevent stroke in patients with atrial fibrillation: a meta‐analysis.Ann Intern Med1999;131:492501.
  47. Orford JL,Fasseas P,Melby S, et al.Safety and efficacy of aspirin, clopidogrel, and warfarin after coronary stent placement in patients with an indication for anticoagulation.Am Heart J2004;147:463467.
  48. Porter A,Konstantino Y,Iakobishvili Z,Shachar L,Battler A,Hasdai D.Short‐term triple therapy with aspirin, warfarin, and a thienopyridine among patients undergoing percutaneous coronary intervention.Catheter Cardiovasc Interv2006;68:5661.
  49. Rubboli A,Colletta M,Herzfeld J,Sangiorgio P,Di Pasquale G.Periprocedural and medium‐term antithrombotic strategies in patients with an indication for long‐term anticoagulation undergoing coronary angiography and intervention.Coron Artery Dis2007;18:193199.
  50. Rogacka R,Chieffo A,Michev I, et al.Dual antiplatelet therapy after percutaneous coronary intervention with stent implantation in patients taking chronic oral anticoagulation.JACC Cardiovasc Interv2008;1:5661.
  51. Mattichak SJ,Reed PS,Gallagher MJ,Boura JA,O'Neill WW,Kahn JK.Evaluation of safety of warfarin in combination with antiplatelet therapy for patients treated with coronary stents for acute myocardial infarction.J Interv Cardiol2005;18:163166.
  52. Ruiz‐Nodar JM,Marin F,Hurtado JA, et al.Anticoagulant and antiplatelet therapy use in 426 patients with atrial fibrillation undergoing percutaneous coronary intervention and stent implantation implications for bleeding risk and prognosis.J Am Coll Cardiol2008;51:818825.
  53. Sarafoff N,Ndrepepa G,Mehilli J, et al.Aspirin and clopidogrel with or without phenprocoumon after drug eluting coronary stent placement in patients on chronic oral anticoagulation.J Intern Med2008;264:472480.
  54. Rossini R,Musumeci G,Lettieri C, et al.Long‐term outcomes in patients undergoing coronary stenting on dual oral antiplatelet treatment requiring oral anticoagulant therapy.Am J Cardiol2008;102:16181623.
  55. Uchida Y,Mori F,Ogawa H,Takagi A,Hagiwara N.Impact of anticoagulant therapy with dual antiplatelet therapy on prognosis after treatment with drug‐eluting coronary stents.J Cardiol2010;55:362369.
  56. Manzano‐Fernandez S,Pastor FJ,Marin F, et al.Increased major bleeding complications related to triple antithrombotic therapy usage in patients with atrial fibrillation undergoing percutaneous coronary artery stenting.Chest2008;134:559567.
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  58. Nguyen MC,Lim YL,Walton A, et al.Combining warfarin and antiplatelet therapy after coronary stenting in the Global Registry of Acute Coronary Events: is it safe and effective to use just one antiplatelet agent?Eur Heart J2007;28:17171722.
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  69. Follow‐Up to the January 26,2009, Early Communication about an Ongoing Safety Review of Clopidogrel Bisulfate (marketed as Plavix) and Omeprazole (marketed as Prilosec and Prilosec OTC). 11/17/2009. (Accessed at http://www.fda.gov/Drugs/DrugSafety/Postmarket DrugSafetyInformationforPatientsandProviders/DrugSafetyInformationfor HeathcareProfessionals/ucm190784.htm.)
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  71. Rubboli A,Halperin JL,Airaksinen KE, et al.Antithrombotic therapy in patients treated with oral anticoagulation undergoing coronary artery stenting. An expert consensus document with focus on atrial fibrillation.Ann Med2008;40:428436.
  72. Connolly SJ,Ezekowitz MD,Yusuf S, et al.Dabigatran versus warfarin in patients with atrial fibrillation.N Engl J Med2009;361:11391151.
  73. Mega JL,Braunwald E,Mohanavelu S, et al.Rivaroxaban versus placebo in patients with acute coronary syndromes (ATLAS ACS‐TIMI 46): a randomised, double‐blind, phase II trial.Lancet2009;374:2938.
  74. Buresly K,Eisenberg MJ,Zhang X,Pilote L.Bleeding complications associated with combinations of aspirin, thienopyridine derivatives, and warfarin in elderly patients following acute myocardial infarction.Arch Intern Med2005;165:784789.
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Journal of Hospital Medicine - 6(9)
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Journal of Hospital Medicine - 6(9)
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Triple therapy in hospitalized patients: Facts and controversies
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Triple therapy in hospitalized patients: Facts and controversies
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Acute coronary syndromes, atrial fibrillation, dual antiplatelet therapy, stent, triple therapy, warfarin
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Acute coronary syndromes, atrial fibrillation, dual antiplatelet therapy, stent, triple therapy, warfarin
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Treatment of Complicated Pneumonia

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Comparative effectiveness of pleural drainage procedures for the treatment of complicated pneumonia in childhood

Community‐acquired pneumonia, the most common serious bacterial infection in childhood, may be complicated by parapneumonic effusion (ie, complicated pneumonia).1 Children with complicated pneumonia require prolonged hospitalization and frequently undergo multiple pleural fluid drainage procedures.2 Additionally, the incidence of complicated pneumonia has increased,37 making the need to define appropriate therapy even more pressing. Defining appropriate therapy is challenging for the individual physician as a result of inconsistent and insufficient evidence, and wide variation in treatment practices.2, 8

Historically, thoracotomy was performed only if initial chest tube placement did not lead to clinical improvement.9, 10 Several authors, noting the rapid resolution of symptoms in children undergoing earlier thoracotomy, advocated for the use of thoracotomy as initial therapy rather than as a procedure of last resort.114 The advent of less invasive techniques such as video‐assisted thoracoscopic surgery (VATS) has served as an additional impetus to consider surgical drainage as the initial treatment strategy.1518 Few well‐designed studies have examined the relative efficacy of these interventions.2, 1922 Published randomized trials were single center, enrolled few patients, and arrived at different conclusions.19, 21, 22 In addition, these trials did not examine other important outcomes such as requirement for additional pleural fluid drainage procedures and hospital readmission. Two large retrospective multicenter studies found modest reductions in length of stay (LOS) and substantial decreases in the requirement for additional pleural fluid drainage procedures in children undergoing initial VATS compared with initial chest tube placement.2, 20 However, Shah et al2 included relatively few patients undergoing VATS. Li et al20 combined patients undergoing initial thoracentesis, initial chest tube placement, late pleural fluid drainage (by any method), and no pleural fluid drainage into a single non‐operative management category, precluding conclusions about the relative benefits of chest tube placement compared with VATS. Neither study2, 20 examined the role of chemical fibrinolysis, a therapy which has been associated with outcomes comparable to VATS in two small randomized trials.21, 22

The objectives of this multicenter study were to describe the variation in the initial management strategy along with associated outcomes of complicated pneumonia in childhood and to determine the comparative effectiveness of different pleural fluid drainage procedures.

Methods

Data Source

The Pediatric Health Information System (PHIS), which contains resource utilization data from 40 freestanding children's hospitals, provided data for this multicenter retrospective cohort study. Participating hospitals are located in noncompeting markets of 27 states plus the District of Columbia. The PHIS database includes patient demographics, diagnoses, and procedures as well as data for all drugs, radiologic studies, laboratory tests, and supplies charged to each patient. Data are de‐identified, however encrypted medical record numbers allow for tracking individual patients across admissions. The Child Health Corporation of America (Shawnee Mission, KS) and participating hospitals jointly assure data quality and reliability as described previously.23, 24 The Children's Hospital of Philadelphia Institutional Review Board reviewed and approved this study.

Patients

Children 18 years of age receiving a pleural drainage procedure for complicated pneumonia were eligible if they were discharged from participating hospitals between January 1, 2004 and June 30, 2009. Study participants met the following criteria: 1) discharge diagnosis of pneumonia (International Classification of Diseases, 9th revision [ICD‐9] discharge diagnosis codes 480.x‐483.x, 485.x‐487.x), 2) discharge diagnosis of pleural effusion (ICD‐9 codes 510.0, 510.9, 511.0, 511.1, or 511.9), and 3) billing charge for antibiotics on the first day of hospitalization. Additionally, the primary discharge diagnosis had to be either pneumonia or pleural effusion. Patients were excluded if they did not undergo pleural fluid drainage or if their initial pleural fluid drainage procedure was thoracentesis.

Study Definitions

Pleural drainage procedures were identified using ICD‐9 procedure codes for thoracentesis (34.91), chest tube placement (34.04), VATS (34.21), and thoracotomy (34.02 or 34.09). Fibrinolysis was defined as receipt of urokinase, streptokinase, or alteplase within two days of initial chest tube placement.

Acute conditions or complications included influenza (487, 487.0, 487.1, 487.8, 488, or V04.81) and hemolytic‐uremic syndrome (283.11). Chronic comorbid conditions (CCCs) (eg, malignancy) were identified using a previously reported classification scheme.25 Billing data were used to classify receipt of mechanical ventilation and medications on the first day of hospitalization.

Measured Outcomes

The primary outcomes were hospital LOS (both overall and post‐initial procedure), requirement for additional pleural drainage procedures, total cost for index hospitalization, all‐cause readmission within 14 days after index hospital discharge, and total cost of the episode (accounting for the cost of readmissions).

Measured Exposures

The primary exposure of interest was the initial pleural fluid drainage procedure, classified as chest tube placement without fibrinolysis, chest tube placement with fibrinolysis, VATS, or thoracotomy.

Statistical Analysis

Variables were summarized using frequencies and percentages for categorical variables, and median, interquartile range (IQR), and range for continuous variables. Outcomes by initial pleural drainage procedure were compared using chi‐squared tests for categorical variables and Kruskal‐Wallis tests for continuous variables.

Multivariable analysis was performed to account for potential confounding by observed baseline variables. For dichotomous outcome variables, modeling consisted of logistic regression using generalized estimating equations to account for hospital clustering. For continuous variables, a mixed model approach was used, treating hospital as a random effect. Log transformation was applied to the right‐skewed outcome variables (LOS and cost). Cost outcomes remained skewed following log transformation, thus gamma mixed models were applied.2629 Odds ratios and 95% confidence intervals (CIs) were reported for comparison of dichotomous outcomes and the adjusted means and 95% CIs were reported for continuous outcomes after appropriate back transformation.

Additional analyses addressed the potential impact of confounding by indication inherent in any observational study. First, patients with an underlying CCC were excluded to ensure that our results would be generalizable to otherwise healthy children with community‐acquired pneumonia. Second, patients undergoing pleural drainage >2 days after hospitalization were excluded to minimize the effect of residual confounding related to differences in timing of the initial drainage procedure. Third, the analysis was repeated using a generalized propensity score as an additional method to account for confounding by indication for the initial drainage procedure.30 Propensity scores, constructed using a multivariable generalized logit model, included all variables listed in Table 1. The inverse of the propensity score was included as a weight in each multivariable model described previously. Only the primary multivariable analyses are presented as the results of the propensity score analysis were nearly identical to the primary analyses.

Characteristics of Patients With Complicated Pneumonia Requiring Pleural Fluid Drainage, Stratified by Initial Pleural Fluid Drainage Procedurea
 OverallChest Tube Without FibrinolysisChest Tube With FibrinolysisThoracotomyVATSP Value
  • Abbreviations: CT, computed tomography; US, ultrasound; VATS, video‐assisted thoracoscopic surgery.

  • Values listed as number (percent) or median (interquartile range).

  • Blood product transfusions included administration of packed red blood cells, cryoprecipitate, fresh frozen plasma, or platelets.

  • Vasoactive infusions included dobutamine, dopamine, epinephrine, norepinephrine, vasopressin, and milrinone.

N35001672 (47.8)623 (17.8)797 (22.8)408 (11.7) 
Age      
<1 year335 (9.6)176 (10.5)56 (9.0)78 (9.8)25 (6.1) 
1 year475 (13.6)238 (14.2)98 (15.7)92 (11.5)47 (11.5)0.003
24 years1230 (35.1)548 (32.8)203 (32.6)310 (38.9)169 (41.4) 
59 years897 (25.6)412 (24.6)170 (27.3)199 (25.0)116 (28.4) 
1014 years324 (9.3)167 (10.0)61 (9.8)65 (8.2)31 (7.6) 
1518 years193 (5.5)106 (6.3)29 (4.6)40 (5.0)18 (4.4) 
>18 years46 (1.3)25 (1.5)6 (0.96)13 (1.6)2 (0.5) 
Comorbid Conditions      
Cardiac69 (2.0)43 (2.6)14 (2.3)12 (1.5)0 (0.0)0.006
Malignancy81 (2.3)31 (1.9)18 (2.9)21 (2.6)11 (2.7)0.375
Neurological138 (3.9)73 (4.4)20 (3.2)34 (4.3)11 (2.7)0.313
Any Other Condition202 (5.8)96 (5.7)40 (6.4)47 (5.9)19 (4.7)0.696
Payer      
Government1240 (35.6)630 (37.8)224 (36.0)259 (32.7)127 (31.3)<0.001
Private1383 (39.7)607 (36.4)283 (45.4)310 (39.2)183 (45.07) 
Other864 (24.8)430 (25.8)116 (18.6)222 (28.1)96 (23.65) 
Race      
Non‐Hispanic White1746 (51.9)838 (51.6)358 (59.7)361 (47.8)189 (48.7)<0.001
Non‐Hispanic Black601 (17.9)318 (19.6)90 (15.0)128 (17.0)65 (16.8) 
Hispanic588 (17.5)280 (17.3)73 (12.2)155 (20.5)80 (20.6) 
Asian117 (3.5)47 (2.9)20 (3.3)37 (4.9)13 (3.4) 
Other314 (9.3)140 (8.6)59 (9.8)74 (9.8)41 (10.6) 
Male Sex1912 (54.6)923 (55.2)336 (53.9)439 (55.1)214 (52.5)0.755
Radiology      
CT, no US1200 (34.3)600 (35.9)184 (29.5)280 (35.1)136 (33.3)<0.001
CT and US221 (6.3)84 (5.0)53 (8.5)61 (7.7)23 (5.6) 
US, no CT799 (22.8)324 (19.4)178 (28.6)200 (25.1)97 (23.8) 
No US, no CT1280 (36.6)664 (39.7)208 (33.4)256 (32.1)152 (37.3) 
Empiric Antibiotic Regimen      
Cephalosporins alone448 (12.8)181 (10.83)126 (20.2)73 (9.2)68 (16.7)<0.001
Cephalosporin and clindamycin797 (22.8)359 (21.5)145 (23.3)184 (23.1)109 (26.7) 
Other antibiotic combination167 (4.8)82 (4.9)30 (4.8)38 (4.8)17 (4.2) 
Cephalosporin and vancomycin2088 (59.7)1050 (62.8)322 (51.7)502 (63.0)214 (52.5) 
Mechanical ventilation494 (14.1)251 (15.0)75 (12.0)114 (14.3)54 (13.2)0.307
Corticosteroids520 (14.9)291 (17.4)72 (11.6)114 (14.3)43 (10.5)<0.001
Blood product transfusionsb761 (21.7)387 (23.2)145 (23.3)161 (20.2)68 (16.7)0.018
Vasoactive infusionsc381 (10.9)223 (13.3)63 (10.1)72 (9.0)23 (5.6)<0.001
Admission to intensive care1397 (39.9)731 (43.7)234 (37.6)296 (37.1)136 (33.3)<0.001
Extracorporeal membranous oxygenation18 (0.5)13 (0.8)2 (0.3)3 (0.4)0 (0.0)0.163
Hemolytic‐uremic syndrome31 (0.9)15 (0.9)6 (1.0)7 (0.9)3 (0.7)0.985
Influenza108 (3.1)53 (3.2)27 (4.3)23 (2.9)5 (1.2)0.044
Arterial blood gas measurements0 (0,1)0 (0, 2)0 (0,1)0 (0, 1)0 (0, 1)<0.001
Days to first procedure1 (0, 3)1 (0, 2)1 (1, 3)1 (1, 3)1 (1, 3)<0.001

Medical records of a randomly selected subset of subjects from 6 hospitals were reviewed to determine the accuracy of our algorithm in identifying patients with complicated pneumonia; these subjects represented 1% of the study population. For the purposes of medical record review, complicated pneumonia was defined by the following: 1) radiologically‐confirmed lung infiltrate; 2) moderate or large pleural effusion; and 3) signs and symptoms of lower respiratory tract infection. Complicated pneumonia was identified in 118 of 120 reviewed subjects for a positive predictive value of 98.3%.

All analyses were clustered by hospital. Analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC). A two‐tailed P < 0.05 was considered statistically significant.

Results

Patient Characteristics

During the study period, 9,680 subjects had complicated pneumonia. Subjects were excluded if they did not have a pleural drainage procedure (n = 5798), or if thoracentesis was the first pleural fluid drainage procedure performed (n = 382). The remaining 3500 patients were included. Demographic characteristics are summarized in Table 1. The median patient age was 4.1 years (IQR: 2.17.2 years). An underlying CCC was present in 424 (12.1%) patients. There was no association between type of drainage procedure and mechanical ventilation. However, factors associated with more severe systemic illness, such as blood product transfusion, were more common among those undergoing initial chest tube placement with or without fibrinolysis (Table 1).

Initial Pleural Fluid Drainage Procedures

The primary procedures included chest tube without fibrinolysis (47.8%); chest tube with fibrinolysis (17.8%); thoracotomy (22.8%); and VATS (11.7%) (Table 1). The proportion of patients undergoing primary chest tube placement with fibrinolysis increased over time from 14.2% in 2004 to 30.0% in 2009 (P < 0.001; chi‐squared test for trend). The initial procedure varied by hospital with the greatest proportion of patients undergoing primary chest tube placement without fibrinolysis at 28 (70.0%) hospitals, chest tube placement with fibrinolysis at 5 (12.5%) hospitals, thoracotomy at 5 (12.5%) hospitals, and VATS at 2 (5.0%) hospitals (Figure 1). The median proportion of patients undergoing primary VATS across all hospitals was 11.5% (IQR: 3.9%‐26.5%) (Figure 1). The median time to first procedure was 1 day (IQR: 03 days).

Figure 1
Distribution of initial procedure type by hospital. The y‐axis shows the percentage of patients undergoing specific pleural fluid drainage procedures. Each number on the x‐axis represents data from one hospital.

Outcome Measures

Variation in outcomes occurred across hospitals. Additional pleural drainage procedures were performed in a median of 20.9% of patients with a range of 6.8% to 44.8% (IQR: 14.5%‐25.3%) of patients across all hospitals. Median LOS was 10 days with a range of 714 days (IQR: 8.511 days) and the median LOS following the initial pleural fluid drainage procedure was 8 days with a range of 6 to 13 days (IQR: 78 days). Variation in timing of the initial pleural fluid drainage procedure explained 9.6% of the variability in LOS (Spearman rho, 0.31; P < 0.001).

Overall, 118 (3.4%) patients were readmitted within 14 days of index discharge; the median readmission rate was 3.8% with a range of 0.8% to 33.3% (IQR: 2.1%‐5.8%) across hospitals. The median total cost of the index hospitalization was $19,574 (IQR: $13,791‐$31,063). The total cost for the index hospitalization exceeded $54,215 for 10% of patients and the total cost of the episode exceeded $55,208 for 10% of patients. Unadjusted outcomes, stratified by primary pleural fluid drainage procedure, are summarized in Table 2.

Unadjusted Outcomes of Patients With Complicated Pneumonia Undergoing Pleural Fluid Drainage, Stratified by Initial Pleural Fluid Drainage Procedurea
 OverallChest Tube Without FibrinolysisChest Tube With FibrinolysisThoracotomyVATSP Valueb
  • Abbreviations: VATS, video‐assisted thoracoscopic surgery.

  • Values listed as number (percent) or median (interquartile range); P < 0.05 considered statistically significant

  • Chi‐squared test for categorical variables and Kruskal‐Wallis test for continuous variables

  • P = 0.008 compared with VATS (pairwise comparison)

  • P = 0.057 compared with VATS (pairwise comparison)

  • Hospital charges were adjusted for hospital location using the Centers for Medicare and Medicaid price/wage index and converted to costs using hospital‐level cost‐to‐charge ratios.

Additional Procedure716 (20.5)331 (19.8)144 (23.1)197 (24.7)44 (10.8)<0.001
Readmission within 14 days118 (3.4)54 (3.3)13 (2.1)32 (4.0)19 (4.7)0.096
Total LOS (days)10 (7, 14)10 (7, 14)9 (7, 13)10 (7, 14)9 (7, 12)<.001
Post‐initial Procedure LOS (days)8 (5, 12)8 (6, 12)7 (5, 10)8 (5, 12)7 (5, 10)<0.001
Total Cost, Index Hospitalization ($)e19319 (13358, 30955)19951 (13576, 32018)c19565 (13209, 32778)d20352 (14351, 31343)17918 (13531, 25166)0.016
Total Cost, Episode of Illness ($)e19831 (13927, 31749)20151 (13764, 32653)19593 (13210, 32861)20573 (14419, 31753)18344 (13835, 25462)0.029

In multivariable analysis, differences in total LOS and post‐procedure LOS were not significant (Table 3). The odds of additional drainage procedures were higher for all drainage procedures compared with initial VATS (Table 3). Patients undergoing initial chest tube placement with fibrinolysis were less likely to require readmission compared with patients undergoing initial VATS (Table 3). The total cost for the episode of illness (including the cost of readmission) was significantly less for those undergoing primary chest tube placement without fibrinolysis compared with primary VATS. The results of subanalyses excluding patients with an underlying CCC (Supporting Appendix online, Table 4) and restricting the cohort to patients undergoing pleural drainage within two days of admission (Supporting Appendix online, Table 5) were similar to the results of our primary analysis with one exception; in the latter subanalysis, children undergoing initial chest tube placement without fibrinolysis were also less likely to require readmission compared with patients undergoing initial VATS.

Multivariable Analysis of The Association Between Initial Pleural Fluid Drainage Procedure and Outcomes for Children With Complicated Pneumonia
 Adjusted OR (95% CI)aP Value
  • Abbreviations: CI, confidence interval; LOS, length of stay; OR, odds ratio; VATS, video‐assisted thoracoscopic surgery.

  • All models adjusted for age, sex, race, month of admission, primary payer, radiologic imaging performed, empiric antibiotic therapy, concurrent diagnosis of influenza or hemolytic uremic syndrome, presence of underlying chronic comorbid conditions, timing of primary pleural fluid drainage procedure, and receipt of corticosteroids and requirement for mechanical ventilation, blood product transfusions, vasoactive infusions, intensive care unit hospitalization, extracorporeal membranous oxygenation, and arterial blood gas measurements within the first two days of hospitalization and clustered on hospital.

Additional pleural drainage procedure  
Chest tube without fibrinolysis1.82 (1.103.00).019
Chest tube with fibrinolysis2.31 (1.443.72)<0.001
Thoracotomy2.59 (1.624.14)<0.001
VATSReference 
Readmission within 14 days  
Chest tube without fibrinolysis0.61 (0.361.05).077
Chest tube with fibrinolysis0.45 (0.230.86).015
Thoracotomy0.85 (0.521.39).521
VATSReference 
 Adjusted Mean (95% CI)aP Value
Total LOS (days)  
Chest tube without fibrinolysis8.0 (7.88.2).339
Chest tube with fibrinolysis8.1 (7.98.3).812
Thoracotomy8.1 (7.98.3).632
VATS8.1 (7.98.3)Ref
Post‐initial procedure LOS (days)  
Chest tube without fibrinolysis7.3 (7.07.5).512
Chest tube with fibrinolysis7.5 (7.27.8).239
Thoracotomy7.3 (7.07.6).841
VATS7.3 (7.17.6)Reference
Total cost, index hospitalization ($)  
Chest tube without fibrinolysis22928 (2200023895.012
Chest tube with fibrinolysis23621 (2263124655).657
Thoracotomy23386 (2241924395.262
VATS23820 (2280824878)Reference
Total cost, episode of illness ($)  
Chest tube without fibrinolysis23218 (2227824199).004
Chest tube with fibrinolysis23749 (2275224790).253
Thoracotomy23673 (2269324696).131
VATS24280 (2324425362)Reference

Discussion

This multicenter study is the largest to evaluate the management of children hospitalized with complicated pneumonia. We found considerable variation in initial management and outcomes across hospitals. Differences in timing of the initial drainage procedure explained only a small amount of the variability in outcomes. Children undergoing initial VATS less commonly required additional drainage procedures while children undergoing initial chest tube placement with fibrinolysis less commonly required readmission. Differences in total and post‐procedure LOS were not statistically significant. Differences in cost, while statistically significant, were of marginal relevance.

Previous studies have also shown significant variation in treatment and outcomes of children with complicated pneumonia across hospitals.2, 8 Our study provides data from additional hospitals, includes a substantially larger number of patients undergoing initial VATS, distinguishes between fibrinolysis recipients and nonrecipients, and is the first to compare outcomes between four different initial drainage strategies. The creation of national consensus guidelines might reduce variability in initial management strategies, although the variability in outcomes across hospitals in the current study could not be explained simply by differences in the type or timing of the initial drainage procedure. Thus, future studies examining hospital‐level factors may play an important role in improving quality of care for children with complicated pneumonia.

Patients with initial thoracotomy or chest tube placement with or without fibrinolysis more commonly received additional drainage procedures than patients with initial VATS. This difference remained when patients with CCCs were excluded from the analysis and when the analysis was limited to patients undergoing pleural fluid drainage within 2 days of hospitalization. Several small, randomized trials demonstrated conflicting results when comparing initial chest tube placement with fibrinolysis and VATS. St. Peter et al22 reported that 3 (17%) of 18 patients undergoing initial chest tube placement with fibrinolysis and none of the 18 patients undergoing initial VATS received additional pleural drainage procedures. Sonnappa et al21 found no differences between the two groups. Kurt et al19 did not state the proportion of patients receiving additional procedures. However, the mean number of drainage procedures was 2.25 among the 8 patients undergoing initial chest tube placement while none of the 10 patients with VATS received additional drainage.19

Thoracotomy is often perceived as a definitive procedure for treatment of complicated pneumonia. However, several possibilities exist to explain why additional procedures were performed less frequently in patients undergoing initial VATS compared with initial thoracotomy. The limited visual field in thoracotomy may lead to greater residual disease post‐operatively in those receiving thoracotomy compared with VATS.31 Additionally, thoracotomy substantially disrupts the integrity of the chest wall and is consequently associated with complications such as bleeding and air leak into the pleural cavity more often than VATS.31, 32 It is thus possible that some of the additional procedures in patients receiving initial thoracotomy were necessary for management of thoracotomy‐associated complications rather than for failure of the initial drainage procedure.

Similar to the randomized trials by Sonnappa et al21 and St. Peter et al,22 differences in the overall and post‐procedure LOS were not significant among patients undergoing initial VATS compared with initial chest tube placement with fibrinolysis. However, chest tube placement without fibrinolysis did not result in significant differences in LOS compared with initial VATS. In the only pediatric randomized trial, the 29 intrapleural urokinase recipients had a 2 day shorter LOS compared with the 29 intrapleural saline recipients.33 Several small, randomized controlled trials of adults with complicated pneumonia reported improved pleural fluid drainage among intrapleural fibrinolysis recipients compared with non‐recipients.3436 However, a large multicenter randomized trial in adults found no differences in mortality, requirement for surgical drainage, or LOS between intrapleural streptokinase and placebo recipients.37 Subsequent meta‐analyses of randomized trials in adults also demonstrated no benefit to fibrinolysis.38, 39 In the context of the increasing use of intrapleural fibrinolysis in children with complicated pneumonia, our results highlight the need for a large, multicenter randomized controlled trial to determine whether chest tube with fibrinolysis is superior to chest tube alone.

Two small randomized trials21, 22 and a decision analysis40 identified chest tube with fibrinolysis as the most economical approach to children with complicated pneumonia. However, the costs did not differ significantly between patients undergoing initial VATS or initial chest tube placement with fibrinolysis in our study. The least costly approach was initial chest tube placement without fibrinolysis. Unlike the randomized controlled trials, we considered costs associated with readmissions in determining the total costs. Shah et al41 found no difference in total charges for patients undergoing initial VATS compared with initial chest tube placement; however, patients undergoing initial VATS were concentrated in a few centers, making it difficult to determine the relative importance of procedural and hospital factors.

This multicenter observational study has several limitations. First, discharge diagnosis coding may be unreliable for specific diseases. However, our rigorous definition of complicated pneumonia, supported by the high positive predictive value as verified by medical record review, minimizes the likelihood of misclassification.

Second, unmeasured confounding or residual confounding by indication for the method of pleural drainage may occur, potentially influencing our results in two disparate ways. If patients with more severe systemic illness were too unstable for operative interventions, then our results would be biased towards worse outcomes for children undergoing initial chest tube placement. We adjusted for several variables associated with a greater systemic severity of illness, including intensive care unit admission, making this possibility less likely. We also could not account for some factors associated with more severe local disease such as the size and character of the effusion. We suspect that patients with more extensive local disease (ie, loculated effusions) would have worse outcomes than other patients, regardless of initial procedure, and that these patients would also be more likely to undergo primary surgical drainage. Thus, this study may have underestimated the benefit of initial surgical drainage (eg, VATS) compared with nonsurgical drainage (ie, chest tube placement).

Third, misclassification of the method of initial pleural drainage may have occurred. Patients transferred from another institution following chest tube placement could either be classified as not receiving pleural drainage and thus excluded from the study or classified as having initial VATS or thoracotomy if the reason for transfer was chest tube treatment failure. Additionally, we could not distinguish routine use of fibrinolysis from fibrinolysis to maintain chest tube patency. Whether such misclassification would falsely minimize or maximize differences in outcomes between the various groups remains uncertain. Fourth, because this study only included tertiary care children's hospitals, these data are not generalizable to community settings. VATS requires specialized surgical training that may be unavailable in some areas. Finally, this study demonstrates the relative efficacy of various pleural fluid drainage procedures on short‐term clinical outcomes and resource utilization. However, long‐term functional outcomes should be measured in future prospective studies.

Conclusions

In conclusion, emphasis on evidence driven treatment to optimize care has led to an increasing examination of unwarranted practice variation.42 The lack of evidence for best practice makes it difficult to define unwarranted variation in the treatment of complicated pneumonia. Our study demonstrates the large variability in practice and raises additional questions regarding the optimal drainage strategies. Published randomized trials have focused on comparisons between chest tube placement with fibrinolysis and VATS. However, our data suggest that future randomized trials should include chest tube placement without fibrinolysis as a treatment strategy. In determining the current best treatment for patients with complicated pneumonia, a clinician must weigh the impact of needing an additional procedure in approximately one‐quarter of patients undergoing initial chest tube placement (with or without fibrinolysis) with the risks of general anesthesia and readmission in patients undergoing initial VATS.

Acknowledgements

Dr. Hall had full access to all the data in the study and takes responsibility for the integrity of the data and accuracy of the analysis.

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References
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Article PDF
Issue
Journal of Hospital Medicine - 6(5)
Page Number
256-263
Legacy Keywords
comparative effectiveness research, pleural empyema, pneumonia, epidemiology, thoracostomy
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Community‐acquired pneumonia, the most common serious bacterial infection in childhood, may be complicated by parapneumonic effusion (ie, complicated pneumonia).1 Children with complicated pneumonia require prolonged hospitalization and frequently undergo multiple pleural fluid drainage procedures.2 Additionally, the incidence of complicated pneumonia has increased,37 making the need to define appropriate therapy even more pressing. Defining appropriate therapy is challenging for the individual physician as a result of inconsistent and insufficient evidence, and wide variation in treatment practices.2, 8

Historically, thoracotomy was performed only if initial chest tube placement did not lead to clinical improvement.9, 10 Several authors, noting the rapid resolution of symptoms in children undergoing earlier thoracotomy, advocated for the use of thoracotomy as initial therapy rather than as a procedure of last resort.114 The advent of less invasive techniques such as video‐assisted thoracoscopic surgery (VATS) has served as an additional impetus to consider surgical drainage as the initial treatment strategy.1518 Few well‐designed studies have examined the relative efficacy of these interventions.2, 1922 Published randomized trials were single center, enrolled few patients, and arrived at different conclusions.19, 21, 22 In addition, these trials did not examine other important outcomes such as requirement for additional pleural fluid drainage procedures and hospital readmission. Two large retrospective multicenter studies found modest reductions in length of stay (LOS) and substantial decreases in the requirement for additional pleural fluid drainage procedures in children undergoing initial VATS compared with initial chest tube placement.2, 20 However, Shah et al2 included relatively few patients undergoing VATS. Li et al20 combined patients undergoing initial thoracentesis, initial chest tube placement, late pleural fluid drainage (by any method), and no pleural fluid drainage into a single non‐operative management category, precluding conclusions about the relative benefits of chest tube placement compared with VATS. Neither study2, 20 examined the role of chemical fibrinolysis, a therapy which has been associated with outcomes comparable to VATS in two small randomized trials.21, 22

The objectives of this multicenter study were to describe the variation in the initial management strategy along with associated outcomes of complicated pneumonia in childhood and to determine the comparative effectiveness of different pleural fluid drainage procedures.

Methods

Data Source

The Pediatric Health Information System (PHIS), which contains resource utilization data from 40 freestanding children's hospitals, provided data for this multicenter retrospective cohort study. Participating hospitals are located in noncompeting markets of 27 states plus the District of Columbia. The PHIS database includes patient demographics, diagnoses, and procedures as well as data for all drugs, radiologic studies, laboratory tests, and supplies charged to each patient. Data are de‐identified, however encrypted medical record numbers allow for tracking individual patients across admissions. The Child Health Corporation of America (Shawnee Mission, KS) and participating hospitals jointly assure data quality and reliability as described previously.23, 24 The Children's Hospital of Philadelphia Institutional Review Board reviewed and approved this study.

Patients

Children 18 years of age receiving a pleural drainage procedure for complicated pneumonia were eligible if they were discharged from participating hospitals between January 1, 2004 and June 30, 2009. Study participants met the following criteria: 1) discharge diagnosis of pneumonia (International Classification of Diseases, 9th revision [ICD‐9] discharge diagnosis codes 480.x‐483.x, 485.x‐487.x), 2) discharge diagnosis of pleural effusion (ICD‐9 codes 510.0, 510.9, 511.0, 511.1, or 511.9), and 3) billing charge for antibiotics on the first day of hospitalization. Additionally, the primary discharge diagnosis had to be either pneumonia or pleural effusion. Patients were excluded if they did not undergo pleural fluid drainage or if their initial pleural fluid drainage procedure was thoracentesis.

Study Definitions

Pleural drainage procedures were identified using ICD‐9 procedure codes for thoracentesis (34.91), chest tube placement (34.04), VATS (34.21), and thoracotomy (34.02 or 34.09). Fibrinolysis was defined as receipt of urokinase, streptokinase, or alteplase within two days of initial chest tube placement.

Acute conditions or complications included influenza (487, 487.0, 487.1, 487.8, 488, or V04.81) and hemolytic‐uremic syndrome (283.11). Chronic comorbid conditions (CCCs) (eg, malignancy) were identified using a previously reported classification scheme.25 Billing data were used to classify receipt of mechanical ventilation and medications on the first day of hospitalization.

Measured Outcomes

The primary outcomes were hospital LOS (both overall and post‐initial procedure), requirement for additional pleural drainage procedures, total cost for index hospitalization, all‐cause readmission within 14 days after index hospital discharge, and total cost of the episode (accounting for the cost of readmissions).

Measured Exposures

The primary exposure of interest was the initial pleural fluid drainage procedure, classified as chest tube placement without fibrinolysis, chest tube placement with fibrinolysis, VATS, or thoracotomy.

Statistical Analysis

Variables were summarized using frequencies and percentages for categorical variables, and median, interquartile range (IQR), and range for continuous variables. Outcomes by initial pleural drainage procedure were compared using chi‐squared tests for categorical variables and Kruskal‐Wallis tests for continuous variables.

Multivariable analysis was performed to account for potential confounding by observed baseline variables. For dichotomous outcome variables, modeling consisted of logistic regression using generalized estimating equations to account for hospital clustering. For continuous variables, a mixed model approach was used, treating hospital as a random effect. Log transformation was applied to the right‐skewed outcome variables (LOS and cost). Cost outcomes remained skewed following log transformation, thus gamma mixed models were applied.2629 Odds ratios and 95% confidence intervals (CIs) were reported for comparison of dichotomous outcomes and the adjusted means and 95% CIs were reported for continuous outcomes after appropriate back transformation.

Additional analyses addressed the potential impact of confounding by indication inherent in any observational study. First, patients with an underlying CCC were excluded to ensure that our results would be generalizable to otherwise healthy children with community‐acquired pneumonia. Second, patients undergoing pleural drainage >2 days after hospitalization were excluded to minimize the effect of residual confounding related to differences in timing of the initial drainage procedure. Third, the analysis was repeated using a generalized propensity score as an additional method to account for confounding by indication for the initial drainage procedure.30 Propensity scores, constructed using a multivariable generalized logit model, included all variables listed in Table 1. The inverse of the propensity score was included as a weight in each multivariable model described previously. Only the primary multivariable analyses are presented as the results of the propensity score analysis were nearly identical to the primary analyses.

Characteristics of Patients With Complicated Pneumonia Requiring Pleural Fluid Drainage, Stratified by Initial Pleural Fluid Drainage Procedurea
 OverallChest Tube Without FibrinolysisChest Tube With FibrinolysisThoracotomyVATSP Value
  • Abbreviations: CT, computed tomography; US, ultrasound; VATS, video‐assisted thoracoscopic surgery.

  • Values listed as number (percent) or median (interquartile range).

  • Blood product transfusions included administration of packed red blood cells, cryoprecipitate, fresh frozen plasma, or platelets.

  • Vasoactive infusions included dobutamine, dopamine, epinephrine, norepinephrine, vasopressin, and milrinone.

N35001672 (47.8)623 (17.8)797 (22.8)408 (11.7) 
Age      
<1 year335 (9.6)176 (10.5)56 (9.0)78 (9.8)25 (6.1) 
1 year475 (13.6)238 (14.2)98 (15.7)92 (11.5)47 (11.5)0.003
24 years1230 (35.1)548 (32.8)203 (32.6)310 (38.9)169 (41.4) 
59 years897 (25.6)412 (24.6)170 (27.3)199 (25.0)116 (28.4) 
1014 years324 (9.3)167 (10.0)61 (9.8)65 (8.2)31 (7.6) 
1518 years193 (5.5)106 (6.3)29 (4.6)40 (5.0)18 (4.4) 
>18 years46 (1.3)25 (1.5)6 (0.96)13 (1.6)2 (0.5) 
Comorbid Conditions      
Cardiac69 (2.0)43 (2.6)14 (2.3)12 (1.5)0 (0.0)0.006
Malignancy81 (2.3)31 (1.9)18 (2.9)21 (2.6)11 (2.7)0.375
Neurological138 (3.9)73 (4.4)20 (3.2)34 (4.3)11 (2.7)0.313
Any Other Condition202 (5.8)96 (5.7)40 (6.4)47 (5.9)19 (4.7)0.696
Payer      
Government1240 (35.6)630 (37.8)224 (36.0)259 (32.7)127 (31.3)<0.001
Private1383 (39.7)607 (36.4)283 (45.4)310 (39.2)183 (45.07) 
Other864 (24.8)430 (25.8)116 (18.6)222 (28.1)96 (23.65) 
Race      
Non‐Hispanic White1746 (51.9)838 (51.6)358 (59.7)361 (47.8)189 (48.7)<0.001
Non‐Hispanic Black601 (17.9)318 (19.6)90 (15.0)128 (17.0)65 (16.8) 
Hispanic588 (17.5)280 (17.3)73 (12.2)155 (20.5)80 (20.6) 
Asian117 (3.5)47 (2.9)20 (3.3)37 (4.9)13 (3.4) 
Other314 (9.3)140 (8.6)59 (9.8)74 (9.8)41 (10.6) 
Male Sex1912 (54.6)923 (55.2)336 (53.9)439 (55.1)214 (52.5)0.755
Radiology      
CT, no US1200 (34.3)600 (35.9)184 (29.5)280 (35.1)136 (33.3)<0.001
CT and US221 (6.3)84 (5.0)53 (8.5)61 (7.7)23 (5.6) 
US, no CT799 (22.8)324 (19.4)178 (28.6)200 (25.1)97 (23.8) 
No US, no CT1280 (36.6)664 (39.7)208 (33.4)256 (32.1)152 (37.3) 
Empiric Antibiotic Regimen      
Cephalosporins alone448 (12.8)181 (10.83)126 (20.2)73 (9.2)68 (16.7)<0.001
Cephalosporin and clindamycin797 (22.8)359 (21.5)145 (23.3)184 (23.1)109 (26.7) 
Other antibiotic combination167 (4.8)82 (4.9)30 (4.8)38 (4.8)17 (4.2) 
Cephalosporin and vancomycin2088 (59.7)1050 (62.8)322 (51.7)502 (63.0)214 (52.5) 
Mechanical ventilation494 (14.1)251 (15.0)75 (12.0)114 (14.3)54 (13.2)0.307
Corticosteroids520 (14.9)291 (17.4)72 (11.6)114 (14.3)43 (10.5)<0.001
Blood product transfusionsb761 (21.7)387 (23.2)145 (23.3)161 (20.2)68 (16.7)0.018
Vasoactive infusionsc381 (10.9)223 (13.3)63 (10.1)72 (9.0)23 (5.6)<0.001
Admission to intensive care1397 (39.9)731 (43.7)234 (37.6)296 (37.1)136 (33.3)<0.001
Extracorporeal membranous oxygenation18 (0.5)13 (0.8)2 (0.3)3 (0.4)0 (0.0)0.163
Hemolytic‐uremic syndrome31 (0.9)15 (0.9)6 (1.0)7 (0.9)3 (0.7)0.985
Influenza108 (3.1)53 (3.2)27 (4.3)23 (2.9)5 (1.2)0.044
Arterial blood gas measurements0 (0,1)0 (0, 2)0 (0,1)0 (0, 1)0 (0, 1)<0.001
Days to first procedure1 (0, 3)1 (0, 2)1 (1, 3)1 (1, 3)1 (1, 3)<0.001

Medical records of a randomly selected subset of subjects from 6 hospitals were reviewed to determine the accuracy of our algorithm in identifying patients with complicated pneumonia; these subjects represented 1% of the study population. For the purposes of medical record review, complicated pneumonia was defined by the following: 1) radiologically‐confirmed lung infiltrate; 2) moderate or large pleural effusion; and 3) signs and symptoms of lower respiratory tract infection. Complicated pneumonia was identified in 118 of 120 reviewed subjects for a positive predictive value of 98.3%.

All analyses were clustered by hospital. Analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC). A two‐tailed P < 0.05 was considered statistically significant.

Results

Patient Characteristics

During the study period, 9,680 subjects had complicated pneumonia. Subjects were excluded if they did not have a pleural drainage procedure (n = 5798), or if thoracentesis was the first pleural fluid drainage procedure performed (n = 382). The remaining 3500 patients were included. Demographic characteristics are summarized in Table 1. The median patient age was 4.1 years (IQR: 2.17.2 years). An underlying CCC was present in 424 (12.1%) patients. There was no association between type of drainage procedure and mechanical ventilation. However, factors associated with more severe systemic illness, such as blood product transfusion, were more common among those undergoing initial chest tube placement with or without fibrinolysis (Table 1).

Initial Pleural Fluid Drainage Procedures

The primary procedures included chest tube without fibrinolysis (47.8%); chest tube with fibrinolysis (17.8%); thoracotomy (22.8%); and VATS (11.7%) (Table 1). The proportion of patients undergoing primary chest tube placement with fibrinolysis increased over time from 14.2% in 2004 to 30.0% in 2009 (P < 0.001; chi‐squared test for trend). The initial procedure varied by hospital with the greatest proportion of patients undergoing primary chest tube placement without fibrinolysis at 28 (70.0%) hospitals, chest tube placement with fibrinolysis at 5 (12.5%) hospitals, thoracotomy at 5 (12.5%) hospitals, and VATS at 2 (5.0%) hospitals (Figure 1). The median proportion of patients undergoing primary VATS across all hospitals was 11.5% (IQR: 3.9%‐26.5%) (Figure 1). The median time to first procedure was 1 day (IQR: 03 days).

Figure 1
Distribution of initial procedure type by hospital. The y‐axis shows the percentage of patients undergoing specific pleural fluid drainage procedures. Each number on the x‐axis represents data from one hospital.

Outcome Measures

Variation in outcomes occurred across hospitals. Additional pleural drainage procedures were performed in a median of 20.9% of patients with a range of 6.8% to 44.8% (IQR: 14.5%‐25.3%) of patients across all hospitals. Median LOS was 10 days with a range of 714 days (IQR: 8.511 days) and the median LOS following the initial pleural fluid drainage procedure was 8 days with a range of 6 to 13 days (IQR: 78 days). Variation in timing of the initial pleural fluid drainage procedure explained 9.6% of the variability in LOS (Spearman rho, 0.31; P < 0.001).

Overall, 118 (3.4%) patients were readmitted within 14 days of index discharge; the median readmission rate was 3.8% with a range of 0.8% to 33.3% (IQR: 2.1%‐5.8%) across hospitals. The median total cost of the index hospitalization was $19,574 (IQR: $13,791‐$31,063). The total cost for the index hospitalization exceeded $54,215 for 10% of patients and the total cost of the episode exceeded $55,208 for 10% of patients. Unadjusted outcomes, stratified by primary pleural fluid drainage procedure, are summarized in Table 2.

Unadjusted Outcomes of Patients With Complicated Pneumonia Undergoing Pleural Fluid Drainage, Stratified by Initial Pleural Fluid Drainage Procedurea
 OverallChest Tube Without FibrinolysisChest Tube With FibrinolysisThoracotomyVATSP Valueb
  • Abbreviations: VATS, video‐assisted thoracoscopic surgery.

  • Values listed as number (percent) or median (interquartile range); P < 0.05 considered statistically significant

  • Chi‐squared test for categorical variables and Kruskal‐Wallis test for continuous variables

  • P = 0.008 compared with VATS (pairwise comparison)

  • P = 0.057 compared with VATS (pairwise comparison)

  • Hospital charges were adjusted for hospital location using the Centers for Medicare and Medicaid price/wage index and converted to costs using hospital‐level cost‐to‐charge ratios.

Additional Procedure716 (20.5)331 (19.8)144 (23.1)197 (24.7)44 (10.8)<0.001
Readmission within 14 days118 (3.4)54 (3.3)13 (2.1)32 (4.0)19 (4.7)0.096
Total LOS (days)10 (7, 14)10 (7, 14)9 (7, 13)10 (7, 14)9 (7, 12)<.001
Post‐initial Procedure LOS (days)8 (5, 12)8 (6, 12)7 (5, 10)8 (5, 12)7 (5, 10)<0.001
Total Cost, Index Hospitalization ($)e19319 (13358, 30955)19951 (13576, 32018)c19565 (13209, 32778)d20352 (14351, 31343)17918 (13531, 25166)0.016
Total Cost, Episode of Illness ($)e19831 (13927, 31749)20151 (13764, 32653)19593 (13210, 32861)20573 (14419, 31753)18344 (13835, 25462)0.029

In multivariable analysis, differences in total LOS and post‐procedure LOS were not significant (Table 3). The odds of additional drainage procedures were higher for all drainage procedures compared with initial VATS (Table 3). Patients undergoing initial chest tube placement with fibrinolysis were less likely to require readmission compared with patients undergoing initial VATS (Table 3). The total cost for the episode of illness (including the cost of readmission) was significantly less for those undergoing primary chest tube placement without fibrinolysis compared with primary VATS. The results of subanalyses excluding patients with an underlying CCC (Supporting Appendix online, Table 4) and restricting the cohort to patients undergoing pleural drainage within two days of admission (Supporting Appendix online, Table 5) were similar to the results of our primary analysis with one exception; in the latter subanalysis, children undergoing initial chest tube placement without fibrinolysis were also less likely to require readmission compared with patients undergoing initial VATS.

Multivariable Analysis of The Association Between Initial Pleural Fluid Drainage Procedure and Outcomes for Children With Complicated Pneumonia
 Adjusted OR (95% CI)aP Value
  • Abbreviations: CI, confidence interval; LOS, length of stay; OR, odds ratio; VATS, video‐assisted thoracoscopic surgery.

  • All models adjusted for age, sex, race, month of admission, primary payer, radiologic imaging performed, empiric antibiotic therapy, concurrent diagnosis of influenza or hemolytic uremic syndrome, presence of underlying chronic comorbid conditions, timing of primary pleural fluid drainage procedure, and receipt of corticosteroids and requirement for mechanical ventilation, blood product transfusions, vasoactive infusions, intensive care unit hospitalization, extracorporeal membranous oxygenation, and arterial blood gas measurements within the first two days of hospitalization and clustered on hospital.

Additional pleural drainage procedure  
Chest tube without fibrinolysis1.82 (1.103.00).019
Chest tube with fibrinolysis2.31 (1.443.72)<0.001
Thoracotomy2.59 (1.624.14)<0.001
VATSReference 
Readmission within 14 days  
Chest tube without fibrinolysis0.61 (0.361.05).077
Chest tube with fibrinolysis0.45 (0.230.86).015
Thoracotomy0.85 (0.521.39).521
VATSReference 
 Adjusted Mean (95% CI)aP Value
Total LOS (days)  
Chest tube without fibrinolysis8.0 (7.88.2).339
Chest tube with fibrinolysis8.1 (7.98.3).812
Thoracotomy8.1 (7.98.3).632
VATS8.1 (7.98.3)Ref
Post‐initial procedure LOS (days)  
Chest tube without fibrinolysis7.3 (7.07.5).512
Chest tube with fibrinolysis7.5 (7.27.8).239
Thoracotomy7.3 (7.07.6).841
VATS7.3 (7.17.6)Reference
Total cost, index hospitalization ($)  
Chest tube without fibrinolysis22928 (2200023895.012
Chest tube with fibrinolysis23621 (2263124655).657
Thoracotomy23386 (2241924395.262
VATS23820 (2280824878)Reference
Total cost, episode of illness ($)  
Chest tube without fibrinolysis23218 (2227824199).004
Chest tube with fibrinolysis23749 (2275224790).253
Thoracotomy23673 (2269324696).131
VATS24280 (2324425362)Reference

Discussion

This multicenter study is the largest to evaluate the management of children hospitalized with complicated pneumonia. We found considerable variation in initial management and outcomes across hospitals. Differences in timing of the initial drainage procedure explained only a small amount of the variability in outcomes. Children undergoing initial VATS less commonly required additional drainage procedures while children undergoing initial chest tube placement with fibrinolysis less commonly required readmission. Differences in total and post‐procedure LOS were not statistically significant. Differences in cost, while statistically significant, were of marginal relevance.

Previous studies have also shown significant variation in treatment and outcomes of children with complicated pneumonia across hospitals.2, 8 Our study provides data from additional hospitals, includes a substantially larger number of patients undergoing initial VATS, distinguishes between fibrinolysis recipients and nonrecipients, and is the first to compare outcomes between four different initial drainage strategies. The creation of national consensus guidelines might reduce variability in initial management strategies, although the variability in outcomes across hospitals in the current study could not be explained simply by differences in the type or timing of the initial drainage procedure. Thus, future studies examining hospital‐level factors may play an important role in improving quality of care for children with complicated pneumonia.

Patients with initial thoracotomy or chest tube placement with or without fibrinolysis more commonly received additional drainage procedures than patients with initial VATS. This difference remained when patients with CCCs were excluded from the analysis and when the analysis was limited to patients undergoing pleural fluid drainage within 2 days of hospitalization. Several small, randomized trials demonstrated conflicting results when comparing initial chest tube placement with fibrinolysis and VATS. St. Peter et al22 reported that 3 (17%) of 18 patients undergoing initial chest tube placement with fibrinolysis and none of the 18 patients undergoing initial VATS received additional pleural drainage procedures. Sonnappa et al21 found no differences between the two groups. Kurt et al19 did not state the proportion of patients receiving additional procedures. However, the mean number of drainage procedures was 2.25 among the 8 patients undergoing initial chest tube placement while none of the 10 patients with VATS received additional drainage.19

Thoracotomy is often perceived as a definitive procedure for treatment of complicated pneumonia. However, several possibilities exist to explain why additional procedures were performed less frequently in patients undergoing initial VATS compared with initial thoracotomy. The limited visual field in thoracotomy may lead to greater residual disease post‐operatively in those receiving thoracotomy compared with VATS.31 Additionally, thoracotomy substantially disrupts the integrity of the chest wall and is consequently associated with complications such as bleeding and air leak into the pleural cavity more often than VATS.31, 32 It is thus possible that some of the additional procedures in patients receiving initial thoracotomy were necessary for management of thoracotomy‐associated complications rather than for failure of the initial drainage procedure.

Similar to the randomized trials by Sonnappa et al21 and St. Peter et al,22 differences in the overall and post‐procedure LOS were not significant among patients undergoing initial VATS compared with initial chest tube placement with fibrinolysis. However, chest tube placement without fibrinolysis did not result in significant differences in LOS compared with initial VATS. In the only pediatric randomized trial, the 29 intrapleural urokinase recipients had a 2 day shorter LOS compared with the 29 intrapleural saline recipients.33 Several small, randomized controlled trials of adults with complicated pneumonia reported improved pleural fluid drainage among intrapleural fibrinolysis recipients compared with non‐recipients.3436 However, a large multicenter randomized trial in adults found no differences in mortality, requirement for surgical drainage, or LOS between intrapleural streptokinase and placebo recipients.37 Subsequent meta‐analyses of randomized trials in adults also demonstrated no benefit to fibrinolysis.38, 39 In the context of the increasing use of intrapleural fibrinolysis in children with complicated pneumonia, our results highlight the need for a large, multicenter randomized controlled trial to determine whether chest tube with fibrinolysis is superior to chest tube alone.

Two small randomized trials21, 22 and a decision analysis40 identified chest tube with fibrinolysis as the most economical approach to children with complicated pneumonia. However, the costs did not differ significantly between patients undergoing initial VATS or initial chest tube placement with fibrinolysis in our study. The least costly approach was initial chest tube placement without fibrinolysis. Unlike the randomized controlled trials, we considered costs associated with readmissions in determining the total costs. Shah et al41 found no difference in total charges for patients undergoing initial VATS compared with initial chest tube placement; however, patients undergoing initial VATS were concentrated in a few centers, making it difficult to determine the relative importance of procedural and hospital factors.

This multicenter observational study has several limitations. First, discharge diagnosis coding may be unreliable for specific diseases. However, our rigorous definition of complicated pneumonia, supported by the high positive predictive value as verified by medical record review, minimizes the likelihood of misclassification.

Second, unmeasured confounding or residual confounding by indication for the method of pleural drainage may occur, potentially influencing our results in two disparate ways. If patients with more severe systemic illness were too unstable for operative interventions, then our results would be biased towards worse outcomes for children undergoing initial chest tube placement. We adjusted for several variables associated with a greater systemic severity of illness, including intensive care unit admission, making this possibility less likely. We also could not account for some factors associated with more severe local disease such as the size and character of the effusion. We suspect that patients with more extensive local disease (ie, loculated effusions) would have worse outcomes than other patients, regardless of initial procedure, and that these patients would also be more likely to undergo primary surgical drainage. Thus, this study may have underestimated the benefit of initial surgical drainage (eg, VATS) compared with nonsurgical drainage (ie, chest tube placement).

Third, misclassification of the method of initial pleural drainage may have occurred. Patients transferred from another institution following chest tube placement could either be classified as not receiving pleural drainage and thus excluded from the study or classified as having initial VATS or thoracotomy if the reason for transfer was chest tube treatment failure. Additionally, we could not distinguish routine use of fibrinolysis from fibrinolysis to maintain chest tube patency. Whether such misclassification would falsely minimize or maximize differences in outcomes between the various groups remains uncertain. Fourth, because this study only included tertiary care children's hospitals, these data are not generalizable to community settings. VATS requires specialized surgical training that may be unavailable in some areas. Finally, this study demonstrates the relative efficacy of various pleural fluid drainage procedures on short‐term clinical outcomes and resource utilization. However, long‐term functional outcomes should be measured in future prospective studies.

Conclusions

In conclusion, emphasis on evidence driven treatment to optimize care has led to an increasing examination of unwarranted practice variation.42 The lack of evidence for best practice makes it difficult to define unwarranted variation in the treatment of complicated pneumonia. Our study demonstrates the large variability in practice and raises additional questions regarding the optimal drainage strategies. Published randomized trials have focused on comparisons between chest tube placement with fibrinolysis and VATS. However, our data suggest that future randomized trials should include chest tube placement without fibrinolysis as a treatment strategy. In determining the current best treatment for patients with complicated pneumonia, a clinician must weigh the impact of needing an additional procedure in approximately one‐quarter of patients undergoing initial chest tube placement (with or without fibrinolysis) with the risks of general anesthesia and readmission in patients undergoing initial VATS.

Acknowledgements

Dr. Hall had full access to all the data in the study and takes responsibility for the integrity of the data and accuracy of the analysis.

Community‐acquired pneumonia, the most common serious bacterial infection in childhood, may be complicated by parapneumonic effusion (ie, complicated pneumonia).1 Children with complicated pneumonia require prolonged hospitalization and frequently undergo multiple pleural fluid drainage procedures.2 Additionally, the incidence of complicated pneumonia has increased,37 making the need to define appropriate therapy even more pressing. Defining appropriate therapy is challenging for the individual physician as a result of inconsistent and insufficient evidence, and wide variation in treatment practices.2, 8

Historically, thoracotomy was performed only if initial chest tube placement did not lead to clinical improvement.9, 10 Several authors, noting the rapid resolution of symptoms in children undergoing earlier thoracotomy, advocated for the use of thoracotomy as initial therapy rather than as a procedure of last resort.114 The advent of less invasive techniques such as video‐assisted thoracoscopic surgery (VATS) has served as an additional impetus to consider surgical drainage as the initial treatment strategy.1518 Few well‐designed studies have examined the relative efficacy of these interventions.2, 1922 Published randomized trials were single center, enrolled few patients, and arrived at different conclusions.19, 21, 22 In addition, these trials did not examine other important outcomes such as requirement for additional pleural fluid drainage procedures and hospital readmission. Two large retrospective multicenter studies found modest reductions in length of stay (LOS) and substantial decreases in the requirement for additional pleural fluid drainage procedures in children undergoing initial VATS compared with initial chest tube placement.2, 20 However, Shah et al2 included relatively few patients undergoing VATS. Li et al20 combined patients undergoing initial thoracentesis, initial chest tube placement, late pleural fluid drainage (by any method), and no pleural fluid drainage into a single non‐operative management category, precluding conclusions about the relative benefits of chest tube placement compared with VATS. Neither study2, 20 examined the role of chemical fibrinolysis, a therapy which has been associated with outcomes comparable to VATS in two small randomized trials.21, 22

The objectives of this multicenter study were to describe the variation in the initial management strategy along with associated outcomes of complicated pneumonia in childhood and to determine the comparative effectiveness of different pleural fluid drainage procedures.

Methods

Data Source

The Pediatric Health Information System (PHIS), which contains resource utilization data from 40 freestanding children's hospitals, provided data for this multicenter retrospective cohort study. Participating hospitals are located in noncompeting markets of 27 states plus the District of Columbia. The PHIS database includes patient demographics, diagnoses, and procedures as well as data for all drugs, radiologic studies, laboratory tests, and supplies charged to each patient. Data are de‐identified, however encrypted medical record numbers allow for tracking individual patients across admissions. The Child Health Corporation of America (Shawnee Mission, KS) and participating hospitals jointly assure data quality and reliability as described previously.23, 24 The Children's Hospital of Philadelphia Institutional Review Board reviewed and approved this study.

Patients

Children 18 years of age receiving a pleural drainage procedure for complicated pneumonia were eligible if they were discharged from participating hospitals between January 1, 2004 and June 30, 2009. Study participants met the following criteria: 1) discharge diagnosis of pneumonia (International Classification of Diseases, 9th revision [ICD‐9] discharge diagnosis codes 480.x‐483.x, 485.x‐487.x), 2) discharge diagnosis of pleural effusion (ICD‐9 codes 510.0, 510.9, 511.0, 511.1, or 511.9), and 3) billing charge for antibiotics on the first day of hospitalization. Additionally, the primary discharge diagnosis had to be either pneumonia or pleural effusion. Patients were excluded if they did not undergo pleural fluid drainage or if their initial pleural fluid drainage procedure was thoracentesis.

Study Definitions

Pleural drainage procedures were identified using ICD‐9 procedure codes for thoracentesis (34.91), chest tube placement (34.04), VATS (34.21), and thoracotomy (34.02 or 34.09). Fibrinolysis was defined as receipt of urokinase, streptokinase, or alteplase within two days of initial chest tube placement.

Acute conditions or complications included influenza (487, 487.0, 487.1, 487.8, 488, or V04.81) and hemolytic‐uremic syndrome (283.11). Chronic comorbid conditions (CCCs) (eg, malignancy) were identified using a previously reported classification scheme.25 Billing data were used to classify receipt of mechanical ventilation and medications on the first day of hospitalization.

Measured Outcomes

The primary outcomes were hospital LOS (both overall and post‐initial procedure), requirement for additional pleural drainage procedures, total cost for index hospitalization, all‐cause readmission within 14 days after index hospital discharge, and total cost of the episode (accounting for the cost of readmissions).

Measured Exposures

The primary exposure of interest was the initial pleural fluid drainage procedure, classified as chest tube placement without fibrinolysis, chest tube placement with fibrinolysis, VATS, or thoracotomy.

Statistical Analysis

Variables were summarized using frequencies and percentages for categorical variables, and median, interquartile range (IQR), and range for continuous variables. Outcomes by initial pleural drainage procedure were compared using chi‐squared tests for categorical variables and Kruskal‐Wallis tests for continuous variables.

Multivariable analysis was performed to account for potential confounding by observed baseline variables. For dichotomous outcome variables, modeling consisted of logistic regression using generalized estimating equations to account for hospital clustering. For continuous variables, a mixed model approach was used, treating hospital as a random effect. Log transformation was applied to the right‐skewed outcome variables (LOS and cost). Cost outcomes remained skewed following log transformation, thus gamma mixed models were applied.2629 Odds ratios and 95% confidence intervals (CIs) were reported for comparison of dichotomous outcomes and the adjusted means and 95% CIs were reported for continuous outcomes after appropriate back transformation.

Additional analyses addressed the potential impact of confounding by indication inherent in any observational study. First, patients with an underlying CCC were excluded to ensure that our results would be generalizable to otherwise healthy children with community‐acquired pneumonia. Second, patients undergoing pleural drainage >2 days after hospitalization were excluded to minimize the effect of residual confounding related to differences in timing of the initial drainage procedure. Third, the analysis was repeated using a generalized propensity score as an additional method to account for confounding by indication for the initial drainage procedure.30 Propensity scores, constructed using a multivariable generalized logit model, included all variables listed in Table 1. The inverse of the propensity score was included as a weight in each multivariable model described previously. Only the primary multivariable analyses are presented as the results of the propensity score analysis were nearly identical to the primary analyses.

Characteristics of Patients With Complicated Pneumonia Requiring Pleural Fluid Drainage, Stratified by Initial Pleural Fluid Drainage Procedurea
 OverallChest Tube Without FibrinolysisChest Tube With FibrinolysisThoracotomyVATSP Value
  • Abbreviations: CT, computed tomography; US, ultrasound; VATS, video‐assisted thoracoscopic surgery.

  • Values listed as number (percent) or median (interquartile range).

  • Blood product transfusions included administration of packed red blood cells, cryoprecipitate, fresh frozen plasma, or platelets.

  • Vasoactive infusions included dobutamine, dopamine, epinephrine, norepinephrine, vasopressin, and milrinone.

N35001672 (47.8)623 (17.8)797 (22.8)408 (11.7) 
Age      
<1 year335 (9.6)176 (10.5)56 (9.0)78 (9.8)25 (6.1) 
1 year475 (13.6)238 (14.2)98 (15.7)92 (11.5)47 (11.5)0.003
24 years1230 (35.1)548 (32.8)203 (32.6)310 (38.9)169 (41.4) 
59 years897 (25.6)412 (24.6)170 (27.3)199 (25.0)116 (28.4) 
1014 years324 (9.3)167 (10.0)61 (9.8)65 (8.2)31 (7.6) 
1518 years193 (5.5)106 (6.3)29 (4.6)40 (5.0)18 (4.4) 
>18 years46 (1.3)25 (1.5)6 (0.96)13 (1.6)2 (0.5) 
Comorbid Conditions      
Cardiac69 (2.0)43 (2.6)14 (2.3)12 (1.5)0 (0.0)0.006
Malignancy81 (2.3)31 (1.9)18 (2.9)21 (2.6)11 (2.7)0.375
Neurological138 (3.9)73 (4.4)20 (3.2)34 (4.3)11 (2.7)0.313
Any Other Condition202 (5.8)96 (5.7)40 (6.4)47 (5.9)19 (4.7)0.696
Payer      
Government1240 (35.6)630 (37.8)224 (36.0)259 (32.7)127 (31.3)<0.001
Private1383 (39.7)607 (36.4)283 (45.4)310 (39.2)183 (45.07) 
Other864 (24.8)430 (25.8)116 (18.6)222 (28.1)96 (23.65) 
Race      
Non‐Hispanic White1746 (51.9)838 (51.6)358 (59.7)361 (47.8)189 (48.7)<0.001
Non‐Hispanic Black601 (17.9)318 (19.6)90 (15.0)128 (17.0)65 (16.8) 
Hispanic588 (17.5)280 (17.3)73 (12.2)155 (20.5)80 (20.6) 
Asian117 (3.5)47 (2.9)20 (3.3)37 (4.9)13 (3.4) 
Other314 (9.3)140 (8.6)59 (9.8)74 (9.8)41 (10.6) 
Male Sex1912 (54.6)923 (55.2)336 (53.9)439 (55.1)214 (52.5)0.755
Radiology      
CT, no US1200 (34.3)600 (35.9)184 (29.5)280 (35.1)136 (33.3)<0.001
CT and US221 (6.3)84 (5.0)53 (8.5)61 (7.7)23 (5.6) 
US, no CT799 (22.8)324 (19.4)178 (28.6)200 (25.1)97 (23.8) 
No US, no CT1280 (36.6)664 (39.7)208 (33.4)256 (32.1)152 (37.3) 
Empiric Antibiotic Regimen      
Cephalosporins alone448 (12.8)181 (10.83)126 (20.2)73 (9.2)68 (16.7)<0.001
Cephalosporin and clindamycin797 (22.8)359 (21.5)145 (23.3)184 (23.1)109 (26.7) 
Other antibiotic combination167 (4.8)82 (4.9)30 (4.8)38 (4.8)17 (4.2) 
Cephalosporin and vancomycin2088 (59.7)1050 (62.8)322 (51.7)502 (63.0)214 (52.5) 
Mechanical ventilation494 (14.1)251 (15.0)75 (12.0)114 (14.3)54 (13.2)0.307
Corticosteroids520 (14.9)291 (17.4)72 (11.6)114 (14.3)43 (10.5)<0.001
Blood product transfusionsb761 (21.7)387 (23.2)145 (23.3)161 (20.2)68 (16.7)0.018
Vasoactive infusionsc381 (10.9)223 (13.3)63 (10.1)72 (9.0)23 (5.6)<0.001
Admission to intensive care1397 (39.9)731 (43.7)234 (37.6)296 (37.1)136 (33.3)<0.001
Extracorporeal membranous oxygenation18 (0.5)13 (0.8)2 (0.3)3 (0.4)0 (0.0)0.163
Hemolytic‐uremic syndrome31 (0.9)15 (0.9)6 (1.0)7 (0.9)3 (0.7)0.985
Influenza108 (3.1)53 (3.2)27 (4.3)23 (2.9)5 (1.2)0.044
Arterial blood gas measurements0 (0,1)0 (0, 2)0 (0,1)0 (0, 1)0 (0, 1)<0.001
Days to first procedure1 (0, 3)1 (0, 2)1 (1, 3)1 (1, 3)1 (1, 3)<0.001

Medical records of a randomly selected subset of subjects from 6 hospitals were reviewed to determine the accuracy of our algorithm in identifying patients with complicated pneumonia; these subjects represented 1% of the study population. For the purposes of medical record review, complicated pneumonia was defined by the following: 1) radiologically‐confirmed lung infiltrate; 2) moderate or large pleural effusion; and 3) signs and symptoms of lower respiratory tract infection. Complicated pneumonia was identified in 118 of 120 reviewed subjects for a positive predictive value of 98.3%.

All analyses were clustered by hospital. Analyses were performed using SAS version 9.2 (SAS Institute, Cary, NC). A two‐tailed P < 0.05 was considered statistically significant.

Results

Patient Characteristics

During the study period, 9,680 subjects had complicated pneumonia. Subjects were excluded if they did not have a pleural drainage procedure (n = 5798), or if thoracentesis was the first pleural fluid drainage procedure performed (n = 382). The remaining 3500 patients were included. Demographic characteristics are summarized in Table 1. The median patient age was 4.1 years (IQR: 2.17.2 years). An underlying CCC was present in 424 (12.1%) patients. There was no association between type of drainage procedure and mechanical ventilation. However, factors associated with more severe systemic illness, such as blood product transfusion, were more common among those undergoing initial chest tube placement with or without fibrinolysis (Table 1).

Initial Pleural Fluid Drainage Procedures

The primary procedures included chest tube without fibrinolysis (47.8%); chest tube with fibrinolysis (17.8%); thoracotomy (22.8%); and VATS (11.7%) (Table 1). The proportion of patients undergoing primary chest tube placement with fibrinolysis increased over time from 14.2% in 2004 to 30.0% in 2009 (P < 0.001; chi‐squared test for trend). The initial procedure varied by hospital with the greatest proportion of patients undergoing primary chest tube placement without fibrinolysis at 28 (70.0%) hospitals, chest tube placement with fibrinolysis at 5 (12.5%) hospitals, thoracotomy at 5 (12.5%) hospitals, and VATS at 2 (5.0%) hospitals (Figure 1). The median proportion of patients undergoing primary VATS across all hospitals was 11.5% (IQR: 3.9%‐26.5%) (Figure 1). The median time to first procedure was 1 day (IQR: 03 days).

Figure 1
Distribution of initial procedure type by hospital. The y‐axis shows the percentage of patients undergoing specific pleural fluid drainage procedures. Each number on the x‐axis represents data from one hospital.

Outcome Measures

Variation in outcomes occurred across hospitals. Additional pleural drainage procedures were performed in a median of 20.9% of patients with a range of 6.8% to 44.8% (IQR: 14.5%‐25.3%) of patients across all hospitals. Median LOS was 10 days with a range of 714 days (IQR: 8.511 days) and the median LOS following the initial pleural fluid drainage procedure was 8 days with a range of 6 to 13 days (IQR: 78 days). Variation in timing of the initial pleural fluid drainage procedure explained 9.6% of the variability in LOS (Spearman rho, 0.31; P < 0.001).

Overall, 118 (3.4%) patients were readmitted within 14 days of index discharge; the median readmission rate was 3.8% with a range of 0.8% to 33.3% (IQR: 2.1%‐5.8%) across hospitals. The median total cost of the index hospitalization was $19,574 (IQR: $13,791‐$31,063). The total cost for the index hospitalization exceeded $54,215 for 10% of patients and the total cost of the episode exceeded $55,208 for 10% of patients. Unadjusted outcomes, stratified by primary pleural fluid drainage procedure, are summarized in Table 2.

Unadjusted Outcomes of Patients With Complicated Pneumonia Undergoing Pleural Fluid Drainage, Stratified by Initial Pleural Fluid Drainage Procedurea
 OverallChest Tube Without FibrinolysisChest Tube With FibrinolysisThoracotomyVATSP Valueb
  • Abbreviations: VATS, video‐assisted thoracoscopic surgery.

  • Values listed as number (percent) or median (interquartile range); P < 0.05 considered statistically significant

  • Chi‐squared test for categorical variables and Kruskal‐Wallis test for continuous variables

  • P = 0.008 compared with VATS (pairwise comparison)

  • P = 0.057 compared with VATS (pairwise comparison)

  • Hospital charges were adjusted for hospital location using the Centers for Medicare and Medicaid price/wage index and converted to costs using hospital‐level cost‐to‐charge ratios.

Additional Procedure716 (20.5)331 (19.8)144 (23.1)197 (24.7)44 (10.8)<0.001
Readmission within 14 days118 (3.4)54 (3.3)13 (2.1)32 (4.0)19 (4.7)0.096
Total LOS (days)10 (7, 14)10 (7, 14)9 (7, 13)10 (7, 14)9 (7, 12)<.001
Post‐initial Procedure LOS (days)8 (5, 12)8 (6, 12)7 (5, 10)8 (5, 12)7 (5, 10)<0.001
Total Cost, Index Hospitalization ($)e19319 (13358, 30955)19951 (13576, 32018)c19565 (13209, 32778)d20352 (14351, 31343)17918 (13531, 25166)0.016
Total Cost, Episode of Illness ($)e19831 (13927, 31749)20151 (13764, 32653)19593 (13210, 32861)20573 (14419, 31753)18344 (13835, 25462)0.029

In multivariable analysis, differences in total LOS and post‐procedure LOS were not significant (Table 3). The odds of additional drainage procedures were higher for all drainage procedures compared with initial VATS (Table 3). Patients undergoing initial chest tube placement with fibrinolysis were less likely to require readmission compared with patients undergoing initial VATS (Table 3). The total cost for the episode of illness (including the cost of readmission) was significantly less for those undergoing primary chest tube placement without fibrinolysis compared with primary VATS. The results of subanalyses excluding patients with an underlying CCC (Supporting Appendix online, Table 4) and restricting the cohort to patients undergoing pleural drainage within two days of admission (Supporting Appendix online, Table 5) were similar to the results of our primary analysis with one exception; in the latter subanalysis, children undergoing initial chest tube placement without fibrinolysis were also less likely to require readmission compared with patients undergoing initial VATS.

Multivariable Analysis of The Association Between Initial Pleural Fluid Drainage Procedure and Outcomes for Children With Complicated Pneumonia
 Adjusted OR (95% CI)aP Value
  • Abbreviations: CI, confidence interval; LOS, length of stay; OR, odds ratio; VATS, video‐assisted thoracoscopic surgery.

  • All models adjusted for age, sex, race, month of admission, primary payer, radiologic imaging performed, empiric antibiotic therapy, concurrent diagnosis of influenza or hemolytic uremic syndrome, presence of underlying chronic comorbid conditions, timing of primary pleural fluid drainage procedure, and receipt of corticosteroids and requirement for mechanical ventilation, blood product transfusions, vasoactive infusions, intensive care unit hospitalization, extracorporeal membranous oxygenation, and arterial blood gas measurements within the first two days of hospitalization and clustered on hospital.

Additional pleural drainage procedure  
Chest tube without fibrinolysis1.82 (1.103.00).019
Chest tube with fibrinolysis2.31 (1.443.72)<0.001
Thoracotomy2.59 (1.624.14)<0.001
VATSReference 
Readmission within 14 days  
Chest tube without fibrinolysis0.61 (0.361.05).077
Chest tube with fibrinolysis0.45 (0.230.86).015
Thoracotomy0.85 (0.521.39).521
VATSReference 
 Adjusted Mean (95% CI)aP Value
Total LOS (days)  
Chest tube without fibrinolysis8.0 (7.88.2).339
Chest tube with fibrinolysis8.1 (7.98.3).812
Thoracotomy8.1 (7.98.3).632
VATS8.1 (7.98.3)Ref
Post‐initial procedure LOS (days)  
Chest tube without fibrinolysis7.3 (7.07.5).512
Chest tube with fibrinolysis7.5 (7.27.8).239
Thoracotomy7.3 (7.07.6).841
VATS7.3 (7.17.6)Reference
Total cost, index hospitalization ($)  
Chest tube without fibrinolysis22928 (2200023895.012
Chest tube with fibrinolysis23621 (2263124655).657
Thoracotomy23386 (2241924395.262
VATS23820 (2280824878)Reference
Total cost, episode of illness ($)  
Chest tube without fibrinolysis23218 (2227824199).004
Chest tube with fibrinolysis23749 (2275224790).253
Thoracotomy23673 (2269324696).131
VATS24280 (2324425362)Reference

Discussion

This multicenter study is the largest to evaluate the management of children hospitalized with complicated pneumonia. We found considerable variation in initial management and outcomes across hospitals. Differences in timing of the initial drainage procedure explained only a small amount of the variability in outcomes. Children undergoing initial VATS less commonly required additional drainage procedures while children undergoing initial chest tube placement with fibrinolysis less commonly required readmission. Differences in total and post‐procedure LOS were not statistically significant. Differences in cost, while statistically significant, were of marginal relevance.

Previous studies have also shown significant variation in treatment and outcomes of children with complicated pneumonia across hospitals.2, 8 Our study provides data from additional hospitals, includes a substantially larger number of patients undergoing initial VATS, distinguishes between fibrinolysis recipients and nonrecipients, and is the first to compare outcomes between four different initial drainage strategies. The creation of national consensus guidelines might reduce variability in initial management strategies, although the variability in outcomes across hospitals in the current study could not be explained simply by differences in the type or timing of the initial drainage procedure. Thus, future studies examining hospital‐level factors may play an important role in improving quality of care for children with complicated pneumonia.

Patients with initial thoracotomy or chest tube placement with or without fibrinolysis more commonly received additional drainage procedures than patients with initial VATS. This difference remained when patients with CCCs were excluded from the analysis and when the analysis was limited to patients undergoing pleural fluid drainage within 2 days of hospitalization. Several small, randomized trials demonstrated conflicting results when comparing initial chest tube placement with fibrinolysis and VATS. St. Peter et al22 reported that 3 (17%) of 18 patients undergoing initial chest tube placement with fibrinolysis and none of the 18 patients undergoing initial VATS received additional pleural drainage procedures. Sonnappa et al21 found no differences between the two groups. Kurt et al19 did not state the proportion of patients receiving additional procedures. However, the mean number of drainage procedures was 2.25 among the 8 patients undergoing initial chest tube placement while none of the 10 patients with VATS received additional drainage.19

Thoracotomy is often perceived as a definitive procedure for treatment of complicated pneumonia. However, several possibilities exist to explain why additional procedures were performed less frequently in patients undergoing initial VATS compared with initial thoracotomy. The limited visual field in thoracotomy may lead to greater residual disease post‐operatively in those receiving thoracotomy compared with VATS.31 Additionally, thoracotomy substantially disrupts the integrity of the chest wall and is consequently associated with complications such as bleeding and air leak into the pleural cavity more often than VATS.31, 32 It is thus possible that some of the additional procedures in patients receiving initial thoracotomy were necessary for management of thoracotomy‐associated complications rather than for failure of the initial drainage procedure.

Similar to the randomized trials by Sonnappa et al21 and St. Peter et al,22 differences in the overall and post‐procedure LOS were not significant among patients undergoing initial VATS compared with initial chest tube placement with fibrinolysis. However, chest tube placement without fibrinolysis did not result in significant differences in LOS compared with initial VATS. In the only pediatric randomized trial, the 29 intrapleural urokinase recipients had a 2 day shorter LOS compared with the 29 intrapleural saline recipients.33 Several small, randomized controlled trials of adults with complicated pneumonia reported improved pleural fluid drainage among intrapleural fibrinolysis recipients compared with non‐recipients.3436 However, a large multicenter randomized trial in adults found no differences in mortality, requirement for surgical drainage, or LOS between intrapleural streptokinase and placebo recipients.37 Subsequent meta‐analyses of randomized trials in adults also demonstrated no benefit to fibrinolysis.38, 39 In the context of the increasing use of intrapleural fibrinolysis in children with complicated pneumonia, our results highlight the need for a large, multicenter randomized controlled trial to determine whether chest tube with fibrinolysis is superior to chest tube alone.

Two small randomized trials21, 22 and a decision analysis40 identified chest tube with fibrinolysis as the most economical approach to children with complicated pneumonia. However, the costs did not differ significantly between patients undergoing initial VATS or initial chest tube placement with fibrinolysis in our study. The least costly approach was initial chest tube placement without fibrinolysis. Unlike the randomized controlled trials, we considered costs associated with readmissions in determining the total costs. Shah et al41 found no difference in total charges for patients undergoing initial VATS compared with initial chest tube placement; however, patients undergoing initial VATS were concentrated in a few centers, making it difficult to determine the relative importance of procedural and hospital factors.

This multicenter observational study has several limitations. First, discharge diagnosis coding may be unreliable for specific diseases. However, our rigorous definition of complicated pneumonia, supported by the high positive predictive value as verified by medical record review, minimizes the likelihood of misclassification.

Second, unmeasured confounding or residual confounding by indication for the method of pleural drainage may occur, potentially influencing our results in two disparate ways. If patients with more severe systemic illness were too unstable for operative interventions, then our results would be biased towards worse outcomes for children undergoing initial chest tube placement. We adjusted for several variables associated with a greater systemic severity of illness, including intensive care unit admission, making this possibility less likely. We also could not account for some factors associated with more severe local disease such as the size and character of the effusion. We suspect that patients with more extensive local disease (ie, loculated effusions) would have worse outcomes than other patients, regardless of initial procedure, and that these patients would also be more likely to undergo primary surgical drainage. Thus, this study may have underestimated the benefit of initial surgical drainage (eg, VATS) compared with nonsurgical drainage (ie, chest tube placement).

Third, misclassification of the method of initial pleural drainage may have occurred. Patients transferred from another institution following chest tube placement could either be classified as not receiving pleural drainage and thus excluded from the study or classified as having initial VATS or thoracotomy if the reason for transfer was chest tube treatment failure. Additionally, we could not distinguish routine use of fibrinolysis from fibrinolysis to maintain chest tube patency. Whether such misclassification would falsely minimize or maximize differences in outcomes between the various groups remains uncertain. Fourth, because this study only included tertiary care children's hospitals, these data are not generalizable to community settings. VATS requires specialized surgical training that may be unavailable in some areas. Finally, this study demonstrates the relative efficacy of various pleural fluid drainage procedures on short‐term clinical outcomes and resource utilization. However, long‐term functional outcomes should be measured in future prospective studies.

Conclusions

In conclusion, emphasis on evidence driven treatment to optimize care has led to an increasing examination of unwarranted practice variation.42 The lack of evidence for best practice makes it difficult to define unwarranted variation in the treatment of complicated pneumonia. Our study demonstrates the large variability in practice and raises additional questions regarding the optimal drainage strategies. Published randomized trials have focused on comparisons between chest tube placement with fibrinolysis and VATS. However, our data suggest that future randomized trials should include chest tube placement without fibrinolysis as a treatment strategy. In determining the current best treatment for patients with complicated pneumonia, a clinician must weigh the impact of needing an additional procedure in approximately one‐quarter of patients undergoing initial chest tube placement (with or without fibrinolysis) with the risks of general anesthesia and readmission in patients undergoing initial VATS.

Acknowledgements

Dr. Hall had full access to all the data in the study and takes responsibility for the integrity of the data and accuracy of the analysis.

References
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  2. Shah SS,DiCristina CM,Bell LM,Ten Have T,Metlay JP.Primary early thoracoscopy and reduction in length of hospital stay and additional procedures among children with complicated pneumonia: Results of a multicenter retrospective cohort study.Arch Pediatr Adolesc Med.2008;162:675681.
  3. Li ST,Tancredi DJ.Empyema hospitalizations increased in US children despite pneumococcal conjugate vaccine.Pediatrics.2010;125:2633.
  4. Byington CL,Korgenski K,Daly J, et al.Impact of the pneumococcal conjugate vaccine on pneumococcal parapneumonic empyema.Pediatr Infect Dis J.2006;25:250254.
  5. Hendrickson DJ,Blumberg DA,Joad JP,Jhawar S,McDonald RJ.Five‐fold increase in pediatric parapneumonic empyema since introduction of pneumococcal conjugate vaccine.Pediatric Infect Dis J.2008;27:10301032.
  6. Grijalva CG,Nuorti JP,Zhu Y,Griffin MR.Increasing incidence of empyema complicating childhood community‐acquired pneumonia in the United States.Clin Infect Dis.2010;50:805813.
  7. Lee GE,Lorch SA,Sheffler‐Collins S,Kronman MP,Shah SS.National hospitalization trends for pediatric pneumonia and associated complications.Pediatrics.2010;126:204213.
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  31. Subramaniam R,Joseph VT,Tan GM,Goh A,Chay OM.Experience with video‐assisted thoracoscopic surgery in the management of complicated pneumonia in children.J Pediatr Surg.2001;36:316319.
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References
  1. Chonmaitree T,Powell KR.Parapneumonic pleural effusion and empyema in children. Review of a 19‐year experience, 1962–1980.Clin Pediatr (Phila).1983;22:414419.
  2. Shah SS,DiCristina CM,Bell LM,Ten Have T,Metlay JP.Primary early thoracoscopy and reduction in length of hospital stay and additional procedures among children with complicated pneumonia: Results of a multicenter retrospective cohort study.Arch Pediatr Adolesc Med.2008;162:675681.
  3. Li ST,Tancredi DJ.Empyema hospitalizations increased in US children despite pneumococcal conjugate vaccine.Pediatrics.2010;125:2633.
  4. Byington CL,Korgenski K,Daly J, et al.Impact of the pneumococcal conjugate vaccine on pneumococcal parapneumonic empyema.Pediatr Infect Dis J.2006;25:250254.
  5. Hendrickson DJ,Blumberg DA,Joad JP,Jhawar S,McDonald RJ.Five‐fold increase in pediatric parapneumonic empyema since introduction of pneumococcal conjugate vaccine.Pediatric Infect Dis J.2008;27:10301032.
  6. Grijalva CG,Nuorti JP,Zhu Y,Griffin MR.Increasing incidence of empyema complicating childhood community‐acquired pneumonia in the United States.Clin Infect Dis.2010;50:805813.
  7. Lee GE,Lorch SA,Sheffler‐Collins S,Kronman MP,Shah SS.National hospitalization trends for pediatric pneumonia and associated complications.Pediatrics.2010;126:204213.
  8. Langley JM,Kellner JD,Solomon N, et al.Empyema associated with community‐acquired pneumonia: A Pediatric Investigator's Collaborative Network on Infections in Canada (PICNIC) study.BMC Infect Dis.2008;8:129.
  9. Stiles QR,Lindesmith GG,Tucker BL,Meyer BW,Jones JC.Pleural empyema in children.Ann Thorac Surg.1970;10:3744.
  10. Thomas DF,Glass JL,Baisch BF.Management of streptococcal empyema.Ann Thorac Surg.1966;2:658664.
  11. Kern JA,Rodgers BM.Thoracoscopy in the management of empyema in children.J Pediatr Surg.1993;28:11281132.
  12. Khakoo GA,Goldstraw P,Hansell DM,Bush A.Surgical treatment of parapneumonic empyema.Pediatr Pulmonol.1996;22:348356.
  13. Kosloske AM,Cartwright KC.The controversial role of decortication in the management of pediatric empyema.J Thorac Cardiovasc Surg.1988;96:166170.
  14. Rizalar R,Somuncu S,Bernay F,Ariturk E,Gunaydin M,Gurses N.Postpneumonic empyema in children treated by early decortication.Eur J Pediatr Surg.1997;7:135137.
  15. Gandhi RR,Stringel G.Video‐assisted thoracoscopic surgery in the management of pediatric empyema.JSLS.1997;1:2513.
  16. Grewal H,Jackson RJ,Wagner CW,Smith SD.Early video‐assisted thoracic surgery in the management of empyema.Pediatrics.1999;103:e63.
  17. Merry CM,Bufo AJ,Shah RS,Schropp KP,Lobe TE.Early definitive intervention by thoracoscopy in pediatric empyema.J Pediatr Surg.1999;34:178180; discussion80–81.
  18. Stovroff M,Teague G,Heiss KF,Parker P,Ricketts RR.Thoracoscopy in the management of pediatric empyema.J Pediatr Surg.1995;30:12111215.
  19. Kurt BA,Winterhalter KM,Connors RH,Betz BW,Winters JW.Therapy of parapneumonic effusions in children: Video‐assisted thoracoscopic surgery versus conventional thoracostomy drainage.Pediatrics.2006;118:e547e553.
  20. Li ST,Gates RL.Primary operative management for pediatric empyema: Decreases in hospital length of stay and charges in a national sample.Arch Pediatr Adolesc Med.2008;162:4448.
  21. Sonnappa S,Cohen G,Owens CM, et al.Comparison of urokinase and video‐assisted thoracoscopic surgery for treatment of childhood empyema.Am J Respir Crit Care Med.2006;174:221227.
  22. St Peter SD,Tsao K,Spilde TL, et al.Thoracoscopic decortication vs tube thoracostomy with fibrinolysis for empyema in children: A prospective, randomized trial.J Pediatr Surg.2009;44:106111; discussion11.
  23. Mongelluzzo J,Mohamad Z,Ten Have TR,Shah SS.Corticosteroids and mortality in children with bacterial meningitis.JAMA.2008;299:20482055.
  24. Shah SS,Hall M,Srivastava R,Subramony A,Levin JE.Intravenous immunoglobulin in children with streptococcal toxic shock syndrome.Clin Infect Dis.2009;49:13691376.
  25. Feudtner C,Hays RM,Haynes G, et al.Deaths attributed to pediatric complex chronic conditions: National trends and implications for supportive care services.Pediatrics.2001;107:e99.
  26. Barber J,Thompson S.Multiple regression of cost data: Use of generalised linear models.J Health Serv Res Policy.2004;9:197204.
  27. Lee AH,Gracey M,Wang K,Yau KK.A robustified modeling approach to analyze pediatric length of stay.Ann Epidemiol.2005;15:673677.
  28. Mulla ZD,Gibbs SG,Aronoff DM.Correlates of length of stay, cost of care, and mortality among patients hospitalized for necrotizing fasciitis.Epidemiol Infect.2007;135:868876.
  29. Wu EQ,Birnbaum HG,Zhang HF,Ivanova JI,Yang E,Mallet D.Health care costs of adults treated for attention‐deficit/hyperactivity disorder who received alternative drug therapies.J Manag Care Pharm.2007;13:561569.
  30. Imbens GW.The role of the propensity score in estimating dose‐response functions.Biometrika.2000;87:706710.
  31. Subramaniam R,Joseph VT,Tan GM,Goh A,Chay OM.Experience with video‐assisted thoracoscopic surgery in the management of complicated pneumonia in children.J Pediatr Surg.2001;36:316319.
  32. Angelillo Mackinlay TA,Lyons GA,Chimondeguy DJ, et al.VATS debridement versus thoracotomy in the treatment of loculated postpneumonia empyema.Ann Thorac Surg.1996;61:16261630.
  33. Thomson AH,Hull J,Kumar MR,Wallis C,Balfour Lynn IM.Randomised trial of intrapleural urokinase in the treatment of childhood empyema.Thorax.2002;57:343347.
  34. Bouros D,Schiza S,Tzanakis N,Chalkiadakis G,Drositis J,Siafakas N.Intrapleural urokinase versus normal saline in the treatment of complicated parapneumonic effusions and empyema. A randomized, double‐blind study.Am J Respir Crit Care Med.1999;159:3742.
  35. Davies RJ,Traill ZC,Gleeson FV.Randomised controlled trial of intrapleural streptokinase in community acquired pleural infection.Thorax.1997;52:416421.
  36. Diacon AH,Theron J,Schuurmans MM,Van de Wal BW,Bolliger CT.Intrapleural streptokinase for empyema and complicated parapneumonic effusions.Am J Respir Crit Care Med.2004;170:4953.
  37. Maskell NA,Davies CW,Nunn AJ, et al.U.K. Controlled trial of intrapleural streptokinase for pleural infection.N Engl J Med.2005;352:865874.
  38. Cameron R,Davies HR.Intra‐pleural fibrinolytic therapy versus conservative management in the treatment of adult parapneumonic effusions and empyema.Cochrane Database Syst Rev.2008:CD002312.
  39. Tokuda Y,Matsushima D,Stein GH,Miyagi S.Intrapleural fibrinolytic agents for empyema and complicated parapneumonic effusions: A meta‐analysis.Chest.2006;129:783790.
  40. Cohen E,Weinstein M,Fisman DN.Cost‐effectiveness of competing strategies for the treatment of pediatric empyema.Pediatrics.2008;121:e1250e1257.
  41. Shah SS,Ten Have TR,Metlay JP.Costs of treating children with complicated pneumonia: A comparison of primary video‐assisted thoracoscopic surgery and chest tube placement.Pediatr Pulmonol.2010;45:7177.
  42. Goodman DC.Unwarranted variation in pediatric medical care.Pediatr Clin North Am.2009;56:745755.
Issue
Journal of Hospital Medicine - 6(5)
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Journal of Hospital Medicine - 6(5)
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256-263
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256-263
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Comparative effectiveness of pleural drainage procedures for the treatment of complicated pneumonia in childhood
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Comparative effectiveness of pleural drainage procedures for the treatment of complicated pneumonia in childhood
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comparative effectiveness research, pleural empyema, pneumonia, epidemiology, thoracostomy
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comparative effectiveness research, pleural empyema, pneumonia, epidemiology, thoracostomy
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Copyright © 2011 Society of Hospital Medicine

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Intervention Progress

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Intervention Progress

A new study of patients with ischemic stroke (JAMA. 2011;305:373-380) found that those admitted to hospitals certified as primary stroke centers had a modestly lower risk of death and serious disability.

Ying Xian, MD, PhD, of the Duke Clinical Research Institute in Durham, N.C., and colleagues compared mortality rates for 30,000 stroke patients in a New York state database, half of them admitted to certified stroke centers and the rest to nondesignated hospitals. Overall 30-day, all-cause mortality was 10.1% for the former group, 12.5% for the latter.

But this modestly lower death rate is still important, says Mark J. Alberts, MD, director of the stroke program at Northwestern University Feinberg School of Medicine in Chicago. "There aren't that many interventions we do in modern medical care that actually prevent death."

In an editorial accompanying the JAMA stroke study, Dr. Alberts portrays an emerging, multitiered system of stroke care, "with the comprehensive stroke center at the top of the pyramid, the primary stroke center in the middle, and the acute stroke-ready hospital at the base." He compares this emerging system to trauma care, which has Level 1 trauma centers at the top of its pyramid.

Not every hospital within a region might be able to pursue stroke center certification, or even become more stroke-ready, he says. But hospitals could work collaboratively to create regional stroke referral networks based on the distribution of patients and resources. Hospitalists can help promote such networks (see The Hospitalist, December 2009). "I would start by knowing your patient population, how many stroke patients present at your hospital each year," he explains.

"The overriding concept is to get stroke patients as efficiently and safely as possible to the hospital that can provide them with the most appropriate level of care," Dr. Alberts says.

More than 800 U.S. hospitals are certified as primary stroke centers by the Joint Commission. While there are not yet formal standards or requirements for an acute-stroke-ready hospital, the term suggests mobilizing resources, capabilities and expertise to receive stroke patients, stabilize them, and send them to the most appropriate facilities based on their medical needs.

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A new study of patients with ischemic stroke (JAMA. 2011;305:373-380) found that those admitted to hospitals certified as primary stroke centers had a modestly lower risk of death and serious disability.

Ying Xian, MD, PhD, of the Duke Clinical Research Institute in Durham, N.C., and colleagues compared mortality rates for 30,000 stroke patients in a New York state database, half of them admitted to certified stroke centers and the rest to nondesignated hospitals. Overall 30-day, all-cause mortality was 10.1% for the former group, 12.5% for the latter.

But this modestly lower death rate is still important, says Mark J. Alberts, MD, director of the stroke program at Northwestern University Feinberg School of Medicine in Chicago. "There aren't that many interventions we do in modern medical care that actually prevent death."

In an editorial accompanying the JAMA stroke study, Dr. Alberts portrays an emerging, multitiered system of stroke care, "with the comprehensive stroke center at the top of the pyramid, the primary stroke center in the middle, and the acute stroke-ready hospital at the base." He compares this emerging system to trauma care, which has Level 1 trauma centers at the top of its pyramid.

Not every hospital within a region might be able to pursue stroke center certification, or even become more stroke-ready, he says. But hospitals could work collaboratively to create regional stroke referral networks based on the distribution of patients and resources. Hospitalists can help promote such networks (see The Hospitalist, December 2009). "I would start by knowing your patient population, how many stroke patients present at your hospital each year," he explains.

"The overriding concept is to get stroke patients as efficiently and safely as possible to the hospital that can provide them with the most appropriate level of care," Dr. Alberts says.

More than 800 U.S. hospitals are certified as primary stroke centers by the Joint Commission. While there are not yet formal standards or requirements for an acute-stroke-ready hospital, the term suggests mobilizing resources, capabilities and expertise to receive stroke patients, stabilize them, and send them to the most appropriate facilities based on their medical needs.

A new study of patients with ischemic stroke (JAMA. 2011;305:373-380) found that those admitted to hospitals certified as primary stroke centers had a modestly lower risk of death and serious disability.

Ying Xian, MD, PhD, of the Duke Clinical Research Institute in Durham, N.C., and colleagues compared mortality rates for 30,000 stroke patients in a New York state database, half of them admitted to certified stroke centers and the rest to nondesignated hospitals. Overall 30-day, all-cause mortality was 10.1% for the former group, 12.5% for the latter.

But this modestly lower death rate is still important, says Mark J. Alberts, MD, director of the stroke program at Northwestern University Feinberg School of Medicine in Chicago. "There aren't that many interventions we do in modern medical care that actually prevent death."

In an editorial accompanying the JAMA stroke study, Dr. Alberts portrays an emerging, multitiered system of stroke care, "with the comprehensive stroke center at the top of the pyramid, the primary stroke center in the middle, and the acute stroke-ready hospital at the base." He compares this emerging system to trauma care, which has Level 1 trauma centers at the top of its pyramid.

Not every hospital within a region might be able to pursue stroke center certification, or even become more stroke-ready, he says. But hospitals could work collaboratively to create regional stroke referral networks based on the distribution of patients and resources. Hospitalists can help promote such networks (see The Hospitalist, December 2009). "I would start by knowing your patient population, how many stroke patients present at your hospital each year," he explains.

"The overriding concept is to get stroke patients as efficiently and safely as possible to the hospital that can provide them with the most appropriate level of care," Dr. Alberts says.

More than 800 U.S. hospitals are certified as primary stroke centers by the Joint Commission. While there are not yet formal standards or requirements for an acute-stroke-ready hospital, the term suggests mobilizing resources, capabilities and expertise to receive stroke patients, stabilize them, and send them to the most appropriate facilities based on their medical needs.

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The Facebook of Medical Records

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The Facebook of Medical Records

A California hospitalist has launched a website that he envisions as an electronic health records (EHR) portal for physicians and patients alike.

MDblackbox aims to blend the interactive familiarity of such social networks as Facebook with the institutional-grade security necessary to comply with the Health Insurance Portability and Accountability Act (HIPPA), according to its inventor, Sami Bogale, MD, a hospitalist at Mills-Peninsula Medical Center in Burlingame, Calif.

"The idea is for any doctor to sign up, nationwide, and [the site] will provide uninterrupted communication" both between doctors and between physicians and patients, says Dr. Bogale, CEO of MDblackbox Inc. "The idea from the patient side is that if a patient goes out of town or goes to a new physician, they have a real copy of their medical record right there."

Dr. Bogale says he's been working on the site for the better part of three years and has spent $250,000 or so on its development. (He jokes that he doesn’t want to know how much time he’s spent on it.) He decided to launch the site this month as he saw other entrepreneurs and physicians looking to take advantage of the momentum behind EHR, buzz attributable in large part to health reform. In fact, the Centers for Medicare & Medicaid Services announced in January that registration had begun for applications to garner a piece of the $20 billion the federal government has set aside for doctors and hospitals that adopt new technologies.

Dr. Bogale continues to look for venture capitalists to back his site, which includes records management, appointment scheduling and reminder, lab orders and voice recordings that can be attached to medical files. Most services are free.

"The idea is to have a nationwide system where every doctor could pretty much have their own personal page and interact with doctors and patients," Dr. Bogale says. "I could see it really growing."

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A California hospitalist has launched a website that he envisions as an electronic health records (EHR) portal for physicians and patients alike.

MDblackbox aims to blend the interactive familiarity of such social networks as Facebook with the institutional-grade security necessary to comply with the Health Insurance Portability and Accountability Act (HIPPA), according to its inventor, Sami Bogale, MD, a hospitalist at Mills-Peninsula Medical Center in Burlingame, Calif.

"The idea is for any doctor to sign up, nationwide, and [the site] will provide uninterrupted communication" both between doctors and between physicians and patients, says Dr. Bogale, CEO of MDblackbox Inc. "The idea from the patient side is that if a patient goes out of town or goes to a new physician, they have a real copy of their medical record right there."

Dr. Bogale says he's been working on the site for the better part of three years and has spent $250,000 or so on its development. (He jokes that he doesn’t want to know how much time he’s spent on it.) He decided to launch the site this month as he saw other entrepreneurs and physicians looking to take advantage of the momentum behind EHR, buzz attributable in large part to health reform. In fact, the Centers for Medicare & Medicaid Services announced in January that registration had begun for applications to garner a piece of the $20 billion the federal government has set aside for doctors and hospitals that adopt new technologies.

Dr. Bogale continues to look for venture capitalists to back his site, which includes records management, appointment scheduling and reminder, lab orders and voice recordings that can be attached to medical files. Most services are free.

"The idea is to have a nationwide system where every doctor could pretty much have their own personal page and interact with doctors and patients," Dr. Bogale says. "I could see it really growing."

A California hospitalist has launched a website that he envisions as an electronic health records (EHR) portal for physicians and patients alike.

MDblackbox aims to blend the interactive familiarity of such social networks as Facebook with the institutional-grade security necessary to comply with the Health Insurance Portability and Accountability Act (HIPPA), according to its inventor, Sami Bogale, MD, a hospitalist at Mills-Peninsula Medical Center in Burlingame, Calif.

"The idea is for any doctor to sign up, nationwide, and [the site] will provide uninterrupted communication" both between doctors and between physicians and patients, says Dr. Bogale, CEO of MDblackbox Inc. "The idea from the patient side is that if a patient goes out of town or goes to a new physician, they have a real copy of their medical record right there."

Dr. Bogale says he's been working on the site for the better part of three years and has spent $250,000 or so on its development. (He jokes that he doesn’t want to know how much time he’s spent on it.) He decided to launch the site this month as he saw other entrepreneurs and physicians looking to take advantage of the momentum behind EHR, buzz attributable in large part to health reform. In fact, the Centers for Medicare & Medicaid Services announced in January that registration had begun for applications to garner a piece of the $20 billion the federal government has set aside for doctors and hospitals that adopt new technologies.

Dr. Bogale continues to look for venture capitalists to back his site, which includes records management, appointment scheduling and reminder, lab orders and voice recordings that can be attached to medical files. Most services are free.

"The idea is to have a nationwide system where every doctor could pretty much have their own personal page and interact with doctors and patients," Dr. Bogale says. "I could see it really growing."

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The Facebook of Medical Records
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The Facebook of Medical Records
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