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ASCO at 50 … we’ve come a long way, we know a lot, but we’ve only just begun
I recently had both the pleasure and the challenge of attending ASCO 2014, the annual meeting of the American Society of Clinical Oncology. It was my first official ASCO meeting, and as an almost-third-year fellow in oncology, no amount of reading, research, scheduling, ASCO 2014 iPad app organizing, or even attending the day 1 early morning How to Navigate the Annual Meeting seminar could have prepared me for the experience…
Click on the PDF icon at the top of this introduction to read the full article.
I recently had both the pleasure and the challenge of attending ASCO 2014, the annual meeting of the American Society of Clinical Oncology. It was my first official ASCO meeting, and as an almost-third-year fellow in oncology, no amount of reading, research, scheduling, ASCO 2014 iPad app organizing, or even attending the day 1 early morning How to Navigate the Annual Meeting seminar could have prepared me for the experience…
Click on the PDF icon at the top of this introduction to read the full article.
I recently had both the pleasure and the challenge of attending ASCO 2014, the annual meeting of the American Society of Clinical Oncology. It was my first official ASCO meeting, and as an almost-third-year fellow in oncology, no amount of reading, research, scheduling, ASCO 2014 iPad app organizing, or even attending the day 1 early morning How to Navigate the Annual Meeting seminar could have prepared me for the experience…
Click on the PDF icon at the top of this introduction to read the full article.
Encouraging data at ASCO 2014 for survival and fertility in some cancers
The American Society of Clinical Oncology marked its 50th anniversary at this year’s annual conference in Chicago, where it showcased the latest scientific advances in oncology and explored the translation of research findings into practice under its umbrella theme, Science and Society.
Drug combo extends survival by more than 1 year in metastatic prostate cancer patients
Key clinical finding Adding docetaxel to hormonal therapy at the time of diagnosis of metastatic prostate cancer extends survival. Major finding Patients receiving docetaxel and androgen deprivation therapy at the time of diagnoses had median overall survival that was 13.6 months longer than men who received androgen deprivation therapy alone. Data source Randomized trial in 790 men with newly diagnosed metastatic hormone-sensitive prostate cancer...
Click on the PDF icon at the top of this introduction to read the full article.
The American Society of Clinical Oncology marked its 50th anniversary at this year’s annual conference in Chicago, where it showcased the latest scientific advances in oncology and explored the translation of research findings into practice under its umbrella theme, Science and Society.
Drug combo extends survival by more than 1 year in metastatic prostate cancer patients
Key clinical finding Adding docetaxel to hormonal therapy at the time of diagnosis of metastatic prostate cancer extends survival. Major finding Patients receiving docetaxel and androgen deprivation therapy at the time of diagnoses had median overall survival that was 13.6 months longer than men who received androgen deprivation therapy alone. Data source Randomized trial in 790 men with newly diagnosed metastatic hormone-sensitive prostate cancer...
Click on the PDF icon at the top of this introduction to read the full article.
The American Society of Clinical Oncology marked its 50th anniversary at this year’s annual conference in Chicago, where it showcased the latest scientific advances in oncology and explored the translation of research findings into practice under its umbrella theme, Science and Society.
Drug combo extends survival by more than 1 year in metastatic prostate cancer patients
Key clinical finding Adding docetaxel to hormonal therapy at the time of diagnosis of metastatic prostate cancer extends survival. Major finding Patients receiving docetaxel and androgen deprivation therapy at the time of diagnoses had median overall survival that was 13.6 months longer than men who received androgen deprivation therapy alone. Data source Randomized trial in 790 men with newly diagnosed metastatic hormone-sensitive prostate cancer...
Click on the PDF icon at the top of this introduction to read the full article.
Should lithium and ECT be used concurrently in geriatric patients?
Delirium has been described as a potential complication of concurrent lithium and electroconvulsive therapy (ECT) for depression, in association with a range of serum lithium levels. Although debate persists about the safety of continuing previously established lithium therapy during a course of ECT for mood symptoms, withholding lithium for 24 hours before administering ECT and measuring the serum lithium level before ECT were found to decrease the risk of post-ECT neurocognitive effects.1
We have found that the conventional practice of holding lithium for 24 hours before ECT might need to be re-evaluated in geriatric patients, as the following case demonstrates. Only 24 hours of holding lithium therapy might result in a lithium level sufficient to contribute to delirium after ECT.
CASE REPORT
An older woman with recurrent unipolar psychotic depression
Mrs. A, age 81, was admitted to the hospital with a 1-week history of depressed mood, anhedonia, insomnia, anergia, anorexia, and nihilistic somatic delusions that her organs were “rotting and shutting down.” Treatment included nortriptyline, 40 mg/d; lithium, 150 mg/d; and haloperidol, 0.5 mg/d. Her serum lithium level was 0.3 mEq/L (reference range, 0.6 to 1.2 mEq/L); the serum nortriptyline level was 68 ng/mL (reference range, 50 to 150 ng/mL). CT of the head and an electrocardiogram were unremarkable.
A twice-weekly course of ECT was initiated.
The day before Treatment 1 of ECT, the serum lithium level (drawn 12 hours after the last dose) was 0.4 mEq/L. Lithium was withheld 24 hours before ECT; nortriptyline and haloperidol were continued at prescribed dosages.
Right unilateral stimulation was used at 50%/mC energy (Thymatron DG, with methohexital anesthesia, and succinylcholine for muscle relaxation). Seizure duration, measured by EEG, was 57 seconds.
Mrs. A developed postictal delirium after the first 2 ECT sessions. The serum lithium level was unchanged. Subsequently, lithium treatment was discontinued and ECT was continued; once lithium was stopped, delirium resolved. ECT sessions 3 and 4 were uneventful, with no post-treatment delirium. Seizure duration for Treatment 4 was 58 seconds. She started breathing easily after all ECT sessions.
After Treatment 4, Mrs. A experienced full remission of depressive and psychotic symptoms. Repeat CT of head, after Treatment 4, was unchanged from baseline.
What is the role of lithium?
Mrs. A did not exhibit typical signs of lithium intoxication (diarrhea, vomiting, tremor). Notably, lithium has an intrinsic anticholinergic activity2; concurrent nortriptyline, a secondary amine tricyclic antidepressant with fewer anticholinergic side effects than other tricyclics,2 could precipitate delirium in a vulnerable patient secondary to excessive cumulative anticholinergic exposure.
No prolonged time-to-respiration or time-to-awakening occurred during treatments in which concurrent lithium and ECT were used; seizure duration with and without concurrent lithium was relatively similar.
There are potential complications of concurrent use of lithium and ECT:
• prolongation of the duration of muscle paralysis and apnea induced by commonly used neuromuscular-blocking agents (eg, succinylcholine)
• post-ECT cognitive disturbance.1,3,4
There is debate about the safety of continuing lithium during, or in close proximity to, ECT. In a case series of 12 patients who underwent combined lithium therapy and ECT, the authors concluded that this combination can be safe, regardless of age, as long as appropriate clinical monitoring is provided.4 In Mrs. A’s case, once post-ECT delirium was noted, lithium was discontinued for subsequent ECT sessions.
Because further ECT was uneventful without lithium, and no other clear acute cause of delirium could be identified, we concluded that lithium likely played a role in Mrs. A’s delirium. Notably, nortriptyline had been continued, suggesting that the degree of anticholinergic blockade provided by nortriptyline was insufficient to provoke delirium post-ECT in the absence of potentiation of this effect, as it had been when lithium also was used initially.
Guidelines for dosing and serum lithium concentrations in geriatric patients are not well-established; the current traditional range of 0.6 to 1.2 mEq/L, is too high for geriatric patients and can result in episodes of lithium toxicity, including delirium.5 Although our patient’s lithium level was below the reference range for all patients, a level of 0.3 mEq/L can be considered at the low end of the reference range for geriatric patients.5 Inasmuch as the lithium-assisted post-ECT delirium could represent a clinical sign of lithium toxicity, perhaps even a subtherapeutic level in a certain patient could be paradoxically “toxic.”
Although the serum lithium level in our patient remained below the toxic level for the general population (>1.5 mEq/L), delirium in a geriatric patient could result from:
• age-related changes in the pharmacokinetics of lithium, a water-soluble drug; these changes reduce renal clearance of the drug and extend plasma elimination half-life of a single dose to 36 hours, with the result that lithium remains in the body longer and necessitating a lower dosage (ie, a dosage that yields a serum level of approximately 0.5 mEq/L)
• the CNS tissue concentration of lithium, which can be high even though the serum level is not toxic
• an age-related increase in blood-brain barrier permeability, making the barrier more porous for drugs
• changes in blood-brain barrier permeability by post-ECT biochemical induction, with subsequent increased drug availability in the CNS.5,6
What we recommend
Possible interactions between lithium and ECT that lead to ECT-associated delirium need further elucidation, but discontinuing lithium during the course of ECT in a geriatric patient warrants your consideration. Following a safe interval after the last ECT session, lithium likely can be safely re-introduced 1) if there is clinical need and 2) as long as clinical surveillance for cognitive side effects is provided— especially if ECT will need to be reconsidered in the future.
Two additional considerations:
• Actively reassess lithium dosing in all geriatric psychiatric patients, especially those with renal insufficiency and other systemic metabolic considerations.
• Actively examine the use of all other anticholinergic agents in the course of evaluating a patient’s candidacy for ECT.
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
1. American Psychiatric Association. The practice of electroconvulsive therapy: recommendations for treatment, training, and privileging. A task force report of the American Psychiatric Association. 2nd ed. Washington, DC: American Psychiatric Publishing; 2001.
2. Chew ML, Mulsant BH, Pollock BG, et al. Anticholinergic activity of 107 medications commonly used by older adults. J Am Geriatr Soc. 2008;56(7):1333-1341.
3. Hill GE, Wong KC, Hodges MR. Potentiation of succinylcholine neuromuscular blockade by lithium carbonate. Anesthesiology. 1976;44(5):439-442.
4. Dolenc TJ, Rasmussen KG. The safety of electroconvulsive therapy and lithium in combination: a case series and review of the literature. J ECT. 2005;21(3):165-170.
5. Shulman KI. Lithium for older adults with bipolar disorder: should it still be considered a first line agent? Drugs Aging. 2010;27(8):607-615.
6. Grandjean EM, Aubry JM. Lithium: updated human knowledge using an evidence-based approach. Part II: clinical pharmacology and therapeutic monitoring. CNS Drugs. 2009;23(4):331-349.
Delirium has been described as a potential complication of concurrent lithium and electroconvulsive therapy (ECT) for depression, in association with a range of serum lithium levels. Although debate persists about the safety of continuing previously established lithium therapy during a course of ECT for mood symptoms, withholding lithium for 24 hours before administering ECT and measuring the serum lithium level before ECT were found to decrease the risk of post-ECT neurocognitive effects.1
We have found that the conventional practice of holding lithium for 24 hours before ECT might need to be re-evaluated in geriatric patients, as the following case demonstrates. Only 24 hours of holding lithium therapy might result in a lithium level sufficient to contribute to delirium after ECT.
CASE REPORT
An older woman with recurrent unipolar psychotic depression
Mrs. A, age 81, was admitted to the hospital with a 1-week history of depressed mood, anhedonia, insomnia, anergia, anorexia, and nihilistic somatic delusions that her organs were “rotting and shutting down.” Treatment included nortriptyline, 40 mg/d; lithium, 150 mg/d; and haloperidol, 0.5 mg/d. Her serum lithium level was 0.3 mEq/L (reference range, 0.6 to 1.2 mEq/L); the serum nortriptyline level was 68 ng/mL (reference range, 50 to 150 ng/mL). CT of the head and an electrocardiogram were unremarkable.
A twice-weekly course of ECT was initiated.
The day before Treatment 1 of ECT, the serum lithium level (drawn 12 hours after the last dose) was 0.4 mEq/L. Lithium was withheld 24 hours before ECT; nortriptyline and haloperidol were continued at prescribed dosages.
Right unilateral stimulation was used at 50%/mC energy (Thymatron DG, with methohexital anesthesia, and succinylcholine for muscle relaxation). Seizure duration, measured by EEG, was 57 seconds.
Mrs. A developed postictal delirium after the first 2 ECT sessions. The serum lithium level was unchanged. Subsequently, lithium treatment was discontinued and ECT was continued; once lithium was stopped, delirium resolved. ECT sessions 3 and 4 were uneventful, with no post-treatment delirium. Seizure duration for Treatment 4 was 58 seconds. She started breathing easily after all ECT sessions.
After Treatment 4, Mrs. A experienced full remission of depressive and psychotic symptoms. Repeat CT of head, after Treatment 4, was unchanged from baseline.
What is the role of lithium?
Mrs. A did not exhibit typical signs of lithium intoxication (diarrhea, vomiting, tremor). Notably, lithium has an intrinsic anticholinergic activity2; concurrent nortriptyline, a secondary amine tricyclic antidepressant with fewer anticholinergic side effects than other tricyclics,2 could precipitate delirium in a vulnerable patient secondary to excessive cumulative anticholinergic exposure.
No prolonged time-to-respiration or time-to-awakening occurred during treatments in which concurrent lithium and ECT were used; seizure duration with and without concurrent lithium was relatively similar.
There are potential complications of concurrent use of lithium and ECT:
• prolongation of the duration of muscle paralysis and apnea induced by commonly used neuromuscular-blocking agents (eg, succinylcholine)
• post-ECT cognitive disturbance.1,3,4
There is debate about the safety of continuing lithium during, or in close proximity to, ECT. In a case series of 12 patients who underwent combined lithium therapy and ECT, the authors concluded that this combination can be safe, regardless of age, as long as appropriate clinical monitoring is provided.4 In Mrs. A’s case, once post-ECT delirium was noted, lithium was discontinued for subsequent ECT sessions.
Because further ECT was uneventful without lithium, and no other clear acute cause of delirium could be identified, we concluded that lithium likely played a role in Mrs. A’s delirium. Notably, nortriptyline had been continued, suggesting that the degree of anticholinergic blockade provided by nortriptyline was insufficient to provoke delirium post-ECT in the absence of potentiation of this effect, as it had been when lithium also was used initially.
Guidelines for dosing and serum lithium concentrations in geriatric patients are not well-established; the current traditional range of 0.6 to 1.2 mEq/L, is too high for geriatric patients and can result in episodes of lithium toxicity, including delirium.5 Although our patient’s lithium level was below the reference range for all patients, a level of 0.3 mEq/L can be considered at the low end of the reference range for geriatric patients.5 Inasmuch as the lithium-assisted post-ECT delirium could represent a clinical sign of lithium toxicity, perhaps even a subtherapeutic level in a certain patient could be paradoxically “toxic.”
Although the serum lithium level in our patient remained below the toxic level for the general population (>1.5 mEq/L), delirium in a geriatric patient could result from:
• age-related changes in the pharmacokinetics of lithium, a water-soluble drug; these changes reduce renal clearance of the drug and extend plasma elimination half-life of a single dose to 36 hours, with the result that lithium remains in the body longer and necessitating a lower dosage (ie, a dosage that yields a serum level of approximately 0.5 mEq/L)
• the CNS tissue concentration of lithium, which can be high even though the serum level is not toxic
• an age-related increase in blood-brain barrier permeability, making the barrier more porous for drugs
• changes in blood-brain barrier permeability by post-ECT biochemical induction, with subsequent increased drug availability in the CNS.5,6
What we recommend
Possible interactions between lithium and ECT that lead to ECT-associated delirium need further elucidation, but discontinuing lithium during the course of ECT in a geriatric patient warrants your consideration. Following a safe interval after the last ECT session, lithium likely can be safely re-introduced 1) if there is clinical need and 2) as long as clinical surveillance for cognitive side effects is provided— especially if ECT will need to be reconsidered in the future.
Two additional considerations:
• Actively reassess lithium dosing in all geriatric psychiatric patients, especially those with renal insufficiency and other systemic metabolic considerations.
• Actively examine the use of all other anticholinergic agents in the course of evaluating a patient’s candidacy for ECT.
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
Delirium has been described as a potential complication of concurrent lithium and electroconvulsive therapy (ECT) for depression, in association with a range of serum lithium levels. Although debate persists about the safety of continuing previously established lithium therapy during a course of ECT for mood symptoms, withholding lithium for 24 hours before administering ECT and measuring the serum lithium level before ECT were found to decrease the risk of post-ECT neurocognitive effects.1
We have found that the conventional practice of holding lithium for 24 hours before ECT might need to be re-evaluated in geriatric patients, as the following case demonstrates. Only 24 hours of holding lithium therapy might result in a lithium level sufficient to contribute to delirium after ECT.
CASE REPORT
An older woman with recurrent unipolar psychotic depression
Mrs. A, age 81, was admitted to the hospital with a 1-week history of depressed mood, anhedonia, insomnia, anergia, anorexia, and nihilistic somatic delusions that her organs were “rotting and shutting down.” Treatment included nortriptyline, 40 mg/d; lithium, 150 mg/d; and haloperidol, 0.5 mg/d. Her serum lithium level was 0.3 mEq/L (reference range, 0.6 to 1.2 mEq/L); the serum nortriptyline level was 68 ng/mL (reference range, 50 to 150 ng/mL). CT of the head and an electrocardiogram were unremarkable.
A twice-weekly course of ECT was initiated.
The day before Treatment 1 of ECT, the serum lithium level (drawn 12 hours after the last dose) was 0.4 mEq/L. Lithium was withheld 24 hours before ECT; nortriptyline and haloperidol were continued at prescribed dosages.
Right unilateral stimulation was used at 50%/mC energy (Thymatron DG, with methohexital anesthesia, and succinylcholine for muscle relaxation). Seizure duration, measured by EEG, was 57 seconds.
Mrs. A developed postictal delirium after the first 2 ECT sessions. The serum lithium level was unchanged. Subsequently, lithium treatment was discontinued and ECT was continued; once lithium was stopped, delirium resolved. ECT sessions 3 and 4 were uneventful, with no post-treatment delirium. Seizure duration for Treatment 4 was 58 seconds. She started breathing easily after all ECT sessions.
After Treatment 4, Mrs. A experienced full remission of depressive and psychotic symptoms. Repeat CT of head, after Treatment 4, was unchanged from baseline.
What is the role of lithium?
Mrs. A did not exhibit typical signs of lithium intoxication (diarrhea, vomiting, tremor). Notably, lithium has an intrinsic anticholinergic activity2; concurrent nortriptyline, a secondary amine tricyclic antidepressant with fewer anticholinergic side effects than other tricyclics,2 could precipitate delirium in a vulnerable patient secondary to excessive cumulative anticholinergic exposure.
No prolonged time-to-respiration or time-to-awakening occurred during treatments in which concurrent lithium and ECT were used; seizure duration with and without concurrent lithium was relatively similar.
There are potential complications of concurrent use of lithium and ECT:
• prolongation of the duration of muscle paralysis and apnea induced by commonly used neuromuscular-blocking agents (eg, succinylcholine)
• post-ECT cognitive disturbance.1,3,4
There is debate about the safety of continuing lithium during, or in close proximity to, ECT. In a case series of 12 patients who underwent combined lithium therapy and ECT, the authors concluded that this combination can be safe, regardless of age, as long as appropriate clinical monitoring is provided.4 In Mrs. A’s case, once post-ECT delirium was noted, lithium was discontinued for subsequent ECT sessions.
Because further ECT was uneventful without lithium, and no other clear acute cause of delirium could be identified, we concluded that lithium likely played a role in Mrs. A’s delirium. Notably, nortriptyline had been continued, suggesting that the degree of anticholinergic blockade provided by nortriptyline was insufficient to provoke delirium post-ECT in the absence of potentiation of this effect, as it had been when lithium also was used initially.
Guidelines for dosing and serum lithium concentrations in geriatric patients are not well-established; the current traditional range of 0.6 to 1.2 mEq/L, is too high for geriatric patients and can result in episodes of lithium toxicity, including delirium.5 Although our patient’s lithium level was below the reference range for all patients, a level of 0.3 mEq/L can be considered at the low end of the reference range for geriatric patients.5 Inasmuch as the lithium-assisted post-ECT delirium could represent a clinical sign of lithium toxicity, perhaps even a subtherapeutic level in a certain patient could be paradoxically “toxic.”
Although the serum lithium level in our patient remained below the toxic level for the general population (>1.5 mEq/L), delirium in a geriatric patient could result from:
• age-related changes in the pharmacokinetics of lithium, a water-soluble drug; these changes reduce renal clearance of the drug and extend plasma elimination half-life of a single dose to 36 hours, with the result that lithium remains in the body longer and necessitating a lower dosage (ie, a dosage that yields a serum level of approximately 0.5 mEq/L)
• the CNS tissue concentration of lithium, which can be high even though the serum level is not toxic
• an age-related increase in blood-brain barrier permeability, making the barrier more porous for drugs
• changes in blood-brain barrier permeability by post-ECT biochemical induction, with subsequent increased drug availability in the CNS.5,6
What we recommend
Possible interactions between lithium and ECT that lead to ECT-associated delirium need further elucidation, but discontinuing lithium during the course of ECT in a geriatric patient warrants your consideration. Following a safe interval after the last ECT session, lithium likely can be safely re-introduced 1) if there is clinical need and 2) as long as clinical surveillance for cognitive side effects is provided— especially if ECT will need to be reconsidered in the future.
Two additional considerations:
• Actively reassess lithium dosing in all geriatric psychiatric patients, especially those with renal insufficiency and other systemic metabolic considerations.
• Actively examine the use of all other anticholinergic agents in the course of evaluating a patient’s candidacy for ECT.
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
1. American Psychiatric Association. The practice of electroconvulsive therapy: recommendations for treatment, training, and privileging. A task force report of the American Psychiatric Association. 2nd ed. Washington, DC: American Psychiatric Publishing; 2001.
2. Chew ML, Mulsant BH, Pollock BG, et al. Anticholinergic activity of 107 medications commonly used by older adults. J Am Geriatr Soc. 2008;56(7):1333-1341.
3. Hill GE, Wong KC, Hodges MR. Potentiation of succinylcholine neuromuscular blockade by lithium carbonate. Anesthesiology. 1976;44(5):439-442.
4. Dolenc TJ, Rasmussen KG. The safety of electroconvulsive therapy and lithium in combination: a case series and review of the literature. J ECT. 2005;21(3):165-170.
5. Shulman KI. Lithium for older adults with bipolar disorder: should it still be considered a first line agent? Drugs Aging. 2010;27(8):607-615.
6. Grandjean EM, Aubry JM. Lithium: updated human knowledge using an evidence-based approach. Part II: clinical pharmacology and therapeutic monitoring. CNS Drugs. 2009;23(4):331-349.
1. American Psychiatric Association. The practice of electroconvulsive therapy: recommendations for treatment, training, and privileging. A task force report of the American Psychiatric Association. 2nd ed. Washington, DC: American Psychiatric Publishing; 2001.
2. Chew ML, Mulsant BH, Pollock BG, et al. Anticholinergic activity of 107 medications commonly used by older adults. J Am Geriatr Soc. 2008;56(7):1333-1341.
3. Hill GE, Wong KC, Hodges MR. Potentiation of succinylcholine neuromuscular blockade by lithium carbonate. Anesthesiology. 1976;44(5):439-442.
4. Dolenc TJ, Rasmussen KG. The safety of electroconvulsive therapy and lithium in combination: a case series and review of the literature. J ECT. 2005;21(3):165-170.
5. Shulman KI. Lithium for older adults with bipolar disorder: should it still be considered a first line agent? Drugs Aging. 2010;27(8):607-615.
6. Grandjean EM, Aubry JM. Lithium: updated human knowledge using an evidence-based approach. Part II: clinical pharmacology and therapeutic monitoring. CNS Drugs. 2009;23(4):331-349.
Combo appears safe and active in CLL, NHL
Credit: Linda Bartlett
KOHALA COAST, HAWAII—Early results of a small, phase 1 study suggest a novel combination treatment is active and generally well-tolerated in relapsed or refractory patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) or non-Hodgkin lymphomas (NHLs).
The treatment consists of ublituximab (TG-1101), a monoclonal antibody that targets a unique epitope on the CD20 antigen, and TGR-1202, a next-generation PI3K delta inhibitor.
The combination appeared to be well tolerated overall, although infusion-related reactions were common, and nearly a quarter of patients experienced grade 3/4 neutropenia.
Four of 5 CLL/SLL patients experienced a partial response (PR), and the remaining patient had stable disease (SD). Among the 10 NHL patients, 1 had progressive disease, 7 had SD, and 2 achieved a PR.
Matthew Lunning, DO, of the University of Nebraska Medical Center in Omaha, and his colleagues presented these results in a poster at the 2014 Pan Pacific Lymphoma Conference.
The study is sponsored by TG Therapeutics, the company developing both drugs.
The researchers presented results from 8 patients with CLL/SLL, 7 patients with diffuse large B-cell lymphoma (DLBCL), 5 with follicular lymphoma (FL), and 1 patient with Richter’s syndrome (RS).
Patients had a median age of 64 years (range, 35-82), and they had received a median of 3 prior therapies (range, 1-9). Fifty-seven percent of patients had received 3 or more prior therapies, and 38% were refractory to their prior therapy.
The patients received escalating doses of TGR-1202, with a fixed dose of ublituximab—900 mg for patients with NHL and 600 mg for patients with CLL.
As of the data cutoff, all 21 patients were evaluable for safety, but only 15 were evaluable for efficacy.
Adverse events
The most common adverse event was infusion-related reactions, which occurred in 48% of patients. All of these events were manageable without dose reductions, and all but 1 event was grade 1 or 2 in severity.
Neutropenia was also common, occurring in 38% of patients. Grade 3/4 neutropenia occurred in 24% of patients. One CLL patient required a dose delay for neutropenia in cycle 1, which met the criteria for a dose-limiting toxicity.
No additional dose-limiting toxicities have been observed to date. Likewise, none of the patients has required dose reductions for either drug, and there were no drug-related AST/ALT elevations.
On the other hand, 1 patient did come off the study due to grade 1 itching that was possibly related to TGR-1202.
Other common adverse events associated with treatment included diarrhea (29%), nausea (29%), hoarseness (10%), muscle aches (10%), and fatigue (10%).
Activity in CLL/SLL
Of the 8 CLL/SLL patients enrolled to date, 5 were evaluable for efficacy. Four patients achieved a PR at the first efficacy assessment. The remaining patient, a CLL patient with both 17p and 11q del, achieved SD with a 44% nodal reduction at the first assessment.
All 5 patients achieved a greater-than-50% reduction in ALC by the first efficacy assessment. One patient achieved complete normalization of ALC (less than 4000/uL), and the other 4 patients achieved at least an 80% reduction by the first efficacy assessment.
The lymphocytosis generally observed in CLL patients treated with TGR-1202, similar to other PI3K delta and BTK inhibitors, appears to be mitigated by the addition of ublituximab.
Activity in NHL
Of the 13 patients in this group, 10 were evaluable for efficacy, including 5 with DLBCL, 4 with FL, and 1 with RS. Results were not as favorable in this group as they were among CLL/SLL patients, but, as the researchers pointed out, these patients were heavily pretreated.
Among the DLBCL patients, 2 achieved PRs with TGR-1202 and ublituximab. Both of these responses occurred at the higher dose of TGR-1202.
Two DLBCL patients had SD, and 1 patient progressed. DLBCL patients had a median of 3 prior treatment lines, and 3 patients had GCB DLBCL, with 1 patient classified as triple-hit lymphoma (overexpression of BCL2, BCL6, and MYC rearrangements).
In the FL group, all 4 patients had SD after treatment and exhibited a reduction in tumor mass at the first assessment. These patients had advanced disease and a median of 6 prior lines of therapy.
The RS patient also had SD following TGR-1202 and ublituximab.
“We have been very impressed with the safety profile and the level of activity observed to date in all patient groups with TGR-1202 in combination with ublituximab, particularly given the advanced stage of disease . . . ,” said Susan O’Brien, MD, a professor at MD Anderson Cancer Center in Houston and study chair for the CLL patient group.
“Of particular interest is the absence of observed elevations in AST/ALT with TGR-1202, which is a known adverse event associated with other PI3K delta inhibitors. We look forward to continuing enrollment at all trial centers of this exciting combination and presenting data on more patients at upcoming medical meetings.”
Credit: Linda Bartlett
KOHALA COAST, HAWAII—Early results of a small, phase 1 study suggest a novel combination treatment is active and generally well-tolerated in relapsed or refractory patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) or non-Hodgkin lymphomas (NHLs).
The treatment consists of ublituximab (TG-1101), a monoclonal antibody that targets a unique epitope on the CD20 antigen, and TGR-1202, a next-generation PI3K delta inhibitor.
The combination appeared to be well tolerated overall, although infusion-related reactions were common, and nearly a quarter of patients experienced grade 3/4 neutropenia.
Four of 5 CLL/SLL patients experienced a partial response (PR), and the remaining patient had stable disease (SD). Among the 10 NHL patients, 1 had progressive disease, 7 had SD, and 2 achieved a PR.
Matthew Lunning, DO, of the University of Nebraska Medical Center in Omaha, and his colleagues presented these results in a poster at the 2014 Pan Pacific Lymphoma Conference.
The study is sponsored by TG Therapeutics, the company developing both drugs.
The researchers presented results from 8 patients with CLL/SLL, 7 patients with diffuse large B-cell lymphoma (DLBCL), 5 with follicular lymphoma (FL), and 1 patient with Richter’s syndrome (RS).
Patients had a median age of 64 years (range, 35-82), and they had received a median of 3 prior therapies (range, 1-9). Fifty-seven percent of patients had received 3 or more prior therapies, and 38% were refractory to their prior therapy.
The patients received escalating doses of TGR-1202, with a fixed dose of ublituximab—900 mg for patients with NHL and 600 mg for patients with CLL.
As of the data cutoff, all 21 patients were evaluable for safety, but only 15 were evaluable for efficacy.
Adverse events
The most common adverse event was infusion-related reactions, which occurred in 48% of patients. All of these events were manageable without dose reductions, and all but 1 event was grade 1 or 2 in severity.
Neutropenia was also common, occurring in 38% of patients. Grade 3/4 neutropenia occurred in 24% of patients. One CLL patient required a dose delay for neutropenia in cycle 1, which met the criteria for a dose-limiting toxicity.
No additional dose-limiting toxicities have been observed to date. Likewise, none of the patients has required dose reductions for either drug, and there were no drug-related AST/ALT elevations.
On the other hand, 1 patient did come off the study due to grade 1 itching that was possibly related to TGR-1202.
Other common adverse events associated with treatment included diarrhea (29%), nausea (29%), hoarseness (10%), muscle aches (10%), and fatigue (10%).
Activity in CLL/SLL
Of the 8 CLL/SLL patients enrolled to date, 5 were evaluable for efficacy. Four patients achieved a PR at the first efficacy assessment. The remaining patient, a CLL patient with both 17p and 11q del, achieved SD with a 44% nodal reduction at the first assessment.
All 5 patients achieved a greater-than-50% reduction in ALC by the first efficacy assessment. One patient achieved complete normalization of ALC (less than 4000/uL), and the other 4 patients achieved at least an 80% reduction by the first efficacy assessment.
The lymphocytosis generally observed in CLL patients treated with TGR-1202, similar to other PI3K delta and BTK inhibitors, appears to be mitigated by the addition of ublituximab.
Activity in NHL
Of the 13 patients in this group, 10 were evaluable for efficacy, including 5 with DLBCL, 4 with FL, and 1 with RS. Results were not as favorable in this group as they were among CLL/SLL patients, but, as the researchers pointed out, these patients were heavily pretreated.
Among the DLBCL patients, 2 achieved PRs with TGR-1202 and ublituximab. Both of these responses occurred at the higher dose of TGR-1202.
Two DLBCL patients had SD, and 1 patient progressed. DLBCL patients had a median of 3 prior treatment lines, and 3 patients had GCB DLBCL, with 1 patient classified as triple-hit lymphoma (overexpression of BCL2, BCL6, and MYC rearrangements).
In the FL group, all 4 patients had SD after treatment and exhibited a reduction in tumor mass at the first assessment. These patients had advanced disease and a median of 6 prior lines of therapy.
The RS patient also had SD following TGR-1202 and ublituximab.
“We have been very impressed with the safety profile and the level of activity observed to date in all patient groups with TGR-1202 in combination with ublituximab, particularly given the advanced stage of disease . . . ,” said Susan O’Brien, MD, a professor at MD Anderson Cancer Center in Houston and study chair for the CLL patient group.
“Of particular interest is the absence of observed elevations in AST/ALT with TGR-1202, which is a known adverse event associated with other PI3K delta inhibitors. We look forward to continuing enrollment at all trial centers of this exciting combination and presenting data on more patients at upcoming medical meetings.”
Credit: Linda Bartlett
KOHALA COAST, HAWAII—Early results of a small, phase 1 study suggest a novel combination treatment is active and generally well-tolerated in relapsed or refractory patients with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) or non-Hodgkin lymphomas (NHLs).
The treatment consists of ublituximab (TG-1101), a monoclonal antibody that targets a unique epitope on the CD20 antigen, and TGR-1202, a next-generation PI3K delta inhibitor.
The combination appeared to be well tolerated overall, although infusion-related reactions were common, and nearly a quarter of patients experienced grade 3/4 neutropenia.
Four of 5 CLL/SLL patients experienced a partial response (PR), and the remaining patient had stable disease (SD). Among the 10 NHL patients, 1 had progressive disease, 7 had SD, and 2 achieved a PR.
Matthew Lunning, DO, of the University of Nebraska Medical Center in Omaha, and his colleagues presented these results in a poster at the 2014 Pan Pacific Lymphoma Conference.
The study is sponsored by TG Therapeutics, the company developing both drugs.
The researchers presented results from 8 patients with CLL/SLL, 7 patients with diffuse large B-cell lymphoma (DLBCL), 5 with follicular lymphoma (FL), and 1 patient with Richter’s syndrome (RS).
Patients had a median age of 64 years (range, 35-82), and they had received a median of 3 prior therapies (range, 1-9). Fifty-seven percent of patients had received 3 or more prior therapies, and 38% were refractory to their prior therapy.
The patients received escalating doses of TGR-1202, with a fixed dose of ublituximab—900 mg for patients with NHL and 600 mg for patients with CLL.
As of the data cutoff, all 21 patients were evaluable for safety, but only 15 were evaluable for efficacy.
Adverse events
The most common adverse event was infusion-related reactions, which occurred in 48% of patients. All of these events were manageable without dose reductions, and all but 1 event was grade 1 or 2 in severity.
Neutropenia was also common, occurring in 38% of patients. Grade 3/4 neutropenia occurred in 24% of patients. One CLL patient required a dose delay for neutropenia in cycle 1, which met the criteria for a dose-limiting toxicity.
No additional dose-limiting toxicities have been observed to date. Likewise, none of the patients has required dose reductions for either drug, and there were no drug-related AST/ALT elevations.
On the other hand, 1 patient did come off the study due to grade 1 itching that was possibly related to TGR-1202.
Other common adverse events associated with treatment included diarrhea (29%), nausea (29%), hoarseness (10%), muscle aches (10%), and fatigue (10%).
Activity in CLL/SLL
Of the 8 CLL/SLL patients enrolled to date, 5 were evaluable for efficacy. Four patients achieved a PR at the first efficacy assessment. The remaining patient, a CLL patient with both 17p and 11q del, achieved SD with a 44% nodal reduction at the first assessment.
All 5 patients achieved a greater-than-50% reduction in ALC by the first efficacy assessment. One patient achieved complete normalization of ALC (less than 4000/uL), and the other 4 patients achieved at least an 80% reduction by the first efficacy assessment.
The lymphocytosis generally observed in CLL patients treated with TGR-1202, similar to other PI3K delta and BTK inhibitors, appears to be mitigated by the addition of ublituximab.
Activity in NHL
Of the 13 patients in this group, 10 were evaluable for efficacy, including 5 with DLBCL, 4 with FL, and 1 with RS. Results were not as favorable in this group as they were among CLL/SLL patients, but, as the researchers pointed out, these patients were heavily pretreated.
Among the DLBCL patients, 2 achieved PRs with TGR-1202 and ublituximab. Both of these responses occurred at the higher dose of TGR-1202.
Two DLBCL patients had SD, and 1 patient progressed. DLBCL patients had a median of 3 prior treatment lines, and 3 patients had GCB DLBCL, with 1 patient classified as triple-hit lymphoma (overexpression of BCL2, BCL6, and MYC rearrangements).
In the FL group, all 4 patients had SD after treatment and exhibited a reduction in tumor mass at the first assessment. These patients had advanced disease and a median of 6 prior lines of therapy.
The RS patient also had SD following TGR-1202 and ublituximab.
“We have been very impressed with the safety profile and the level of activity observed to date in all patient groups with TGR-1202 in combination with ublituximab, particularly given the advanced stage of disease . . . ,” said Susan O’Brien, MD, a professor at MD Anderson Cancer Center in Houston and study chair for the CLL patient group.
“Of particular interest is the absence of observed elevations in AST/ALT with TGR-1202, which is a known adverse event associated with other PI3K delta inhibitors. We look forward to continuing enrollment at all trial centers of this exciting combination and presenting data on more patients at upcoming medical meetings.”
Fasting can have beneficial effects in cancer setting
in the bone marrow
New research indicates that cycles of prolonged fasting may prevent chemotherapy-induced immunosuppressive toxicity and induce regeneration of the hematopoietic system.
Long periods of fasting reduced damage in bone marrow stem and progenitor cells and protected both mice and humans from chemotoxicity.
In mice, the fasting cycles “flipped a regenerative switch,” changing the signaling pathways for hematopoietic stem cells (HSCs).
Researchers reported these results in Cell Stem Cell.
“We could not predict that prolonged fasting would have such a remarkable effect in promoting stem cell-based regeneration of the hematopoietic system,” said study author Valter Longo, PhD, of the University of Southern California in Los Angeles.
“When you starve, the system tries to save energy, and one of the things it can do to save energy is to recycle a lot of the immune cells that are not needed, especially those that may be damaged. What we started noticing in both our human work and animal work is that the white blood cell count goes down with prolonged fasting. Then, when you re-feed, the blood cells come back. So we started thinking, well, where does it come from?”
The researchers found that prolonged fasting reduced the enzyme PKA, which regulates HSC self-renewal and pluripotency.
“PKA is the key gene that needs to shut down in order for these stem cells to switch into regenerative mode,” Dr Longo said. “It gives the ‘okay’ for stem cells to go ahead and begin proliferating and rebuild the entire system.”
Prolonged fasting also lowered levels of IGF-1, a growth-factor hormone that has been linked to aging, tumor progression, and cancer risk.
In addition to downregulating the IGF-1/PKA pathway in HSCs, prolonged fasting protected hematopoietic cells from chemotoxicity and promoted HSC self-renewal to reverse immunosuppression.
Experiments revealed that inhibiting IGF-1 or PKA signaling mimicked the effects of prolonged fasting.
The researchers also analyzed a small group of patients from a pilot study evaluating the effects of fasting before chemotherapy. Fasting for 72 hours, but not 24 hours, ensured that patients had normal lymphocyte counts and maintained a normal lineage balance in white blood cells after chemotherapy.
Dr Longo’s lab is now conducting further research on controlled dietary interventions and stem cell regeneration in both animal and clinical studies.
in the bone marrow
New research indicates that cycles of prolonged fasting may prevent chemotherapy-induced immunosuppressive toxicity and induce regeneration of the hematopoietic system.
Long periods of fasting reduced damage in bone marrow stem and progenitor cells and protected both mice and humans from chemotoxicity.
In mice, the fasting cycles “flipped a regenerative switch,” changing the signaling pathways for hematopoietic stem cells (HSCs).
Researchers reported these results in Cell Stem Cell.
“We could not predict that prolonged fasting would have such a remarkable effect in promoting stem cell-based regeneration of the hematopoietic system,” said study author Valter Longo, PhD, of the University of Southern California in Los Angeles.
“When you starve, the system tries to save energy, and one of the things it can do to save energy is to recycle a lot of the immune cells that are not needed, especially those that may be damaged. What we started noticing in both our human work and animal work is that the white blood cell count goes down with prolonged fasting. Then, when you re-feed, the blood cells come back. So we started thinking, well, where does it come from?”
The researchers found that prolonged fasting reduced the enzyme PKA, which regulates HSC self-renewal and pluripotency.
“PKA is the key gene that needs to shut down in order for these stem cells to switch into regenerative mode,” Dr Longo said. “It gives the ‘okay’ for stem cells to go ahead and begin proliferating and rebuild the entire system.”
Prolonged fasting also lowered levels of IGF-1, a growth-factor hormone that has been linked to aging, tumor progression, and cancer risk.
In addition to downregulating the IGF-1/PKA pathway in HSCs, prolonged fasting protected hematopoietic cells from chemotoxicity and promoted HSC self-renewal to reverse immunosuppression.
Experiments revealed that inhibiting IGF-1 or PKA signaling mimicked the effects of prolonged fasting.
The researchers also analyzed a small group of patients from a pilot study evaluating the effects of fasting before chemotherapy. Fasting for 72 hours, but not 24 hours, ensured that patients had normal lymphocyte counts and maintained a normal lineage balance in white blood cells after chemotherapy.
Dr Longo’s lab is now conducting further research on controlled dietary interventions and stem cell regeneration in both animal and clinical studies.
in the bone marrow
New research indicates that cycles of prolonged fasting may prevent chemotherapy-induced immunosuppressive toxicity and induce regeneration of the hematopoietic system.
Long periods of fasting reduced damage in bone marrow stem and progenitor cells and protected both mice and humans from chemotoxicity.
In mice, the fasting cycles “flipped a regenerative switch,” changing the signaling pathways for hematopoietic stem cells (HSCs).
Researchers reported these results in Cell Stem Cell.
“We could not predict that prolonged fasting would have such a remarkable effect in promoting stem cell-based regeneration of the hematopoietic system,” said study author Valter Longo, PhD, of the University of Southern California in Los Angeles.
“When you starve, the system tries to save energy, and one of the things it can do to save energy is to recycle a lot of the immune cells that are not needed, especially those that may be damaged. What we started noticing in both our human work and animal work is that the white blood cell count goes down with prolonged fasting. Then, when you re-feed, the blood cells come back. So we started thinking, well, where does it come from?”
The researchers found that prolonged fasting reduced the enzyme PKA, which regulates HSC self-renewal and pluripotency.
“PKA is the key gene that needs to shut down in order for these stem cells to switch into regenerative mode,” Dr Longo said. “It gives the ‘okay’ for stem cells to go ahead and begin proliferating and rebuild the entire system.”
Prolonged fasting also lowered levels of IGF-1, a growth-factor hormone that has been linked to aging, tumor progression, and cancer risk.
In addition to downregulating the IGF-1/PKA pathway in HSCs, prolonged fasting protected hematopoietic cells from chemotoxicity and promoted HSC self-renewal to reverse immunosuppression.
Experiments revealed that inhibiting IGF-1 or PKA signaling mimicked the effects of prolonged fasting.
The researchers also analyzed a small group of patients from a pilot study evaluating the effects of fasting before chemotherapy. Fasting for 72 hours, but not 24 hours, ensured that patients had normal lymphocyte counts and maintained a normal lineage balance in white blood cells after chemotherapy.
Dr Longo’s lab is now conducting further research on controlled dietary interventions and stem cell regeneration in both animal and clinical studies.
Drug approved to treat NHL in Israel
The Israeli Ministry of Health has granted approval for the antineoplastic agent pixantrone (Pixuvri).
The drug is now approved as monotherapy for adults with relapsed or refractory aggressive B-cell non-Hodgkin lymphoma (NHL) who have received fewer than 4 previous courses of treatment.
The benefit of pixantrone has not been established when used as fifth-line or greater treatment in patients who were refractory to their last therapy.
Pixantrone will be distributed in Israel by the Neopharm Group.
“The approval of Pixuvri in Israel provides patients with aggressive B-cell NHL who have failed second- or third-line therapy a new approved option, where none existed before, that can effectively treat their disease with manageable side effects,” said Abraham Avigdor, MD, of Tel Aviv University.
“Patients who have relapsed after second-line therapy have a poor survival outcome. It is vital to have additional treatment options available, like Pixuvri, so we can provide these patients the best care possible and help them battle their disease.”
The main study of pixantrone, the phase 3 EXTEND PIX301 trial, compared the drug to other chemotherapeutic agents in patients with relapsed or refractory NHL. The response rate was 20% in the pixantrone arm and 6% in the comparator arm.
In addition, patients receiving pixantrone had longer progression-free survival than patients in the comparator group, with a median of 10.2 months and 7.6 months, respectively.
However, grade 3/4 adverse events—including neutropenia, leukopenia, and thrombocytopenia—were more common in the pixantrone arm.
Pixantrone is already marketed in the European Union. In 2012, the European Commission granted conditional marketing authorization for the drug as monotherapy for adults with relapsed or refractory aggressive B-cell NHL.
Under the provisions of the conditional marketing authorization, Cell Therapeutics, Inc., the company developing pixantrone, will be required to complete a post-marketing study aimed at confirming the drug’s clinical benefit.
The European Medicines Agency’s Committee for Medicinal Products for Human Use has accepted PIX306, a randomized, phase 3 trial comparing pixantrone plus rituximab to gemcitabine plus rituximab in patients who have relapsed after 1 to 3 prior regimens for aggressive B-cell NHL and who are not eligible for autologous stem cell transplant.
As a condition of approval, Cell Therapeutics has agreed to have the trial data available by June 2015.
Pixantrone is not approved for use in the US.
The Israeli Ministry of Health has granted approval for the antineoplastic agent pixantrone (Pixuvri).
The drug is now approved as monotherapy for adults with relapsed or refractory aggressive B-cell non-Hodgkin lymphoma (NHL) who have received fewer than 4 previous courses of treatment.
The benefit of pixantrone has not been established when used as fifth-line or greater treatment in patients who were refractory to their last therapy.
Pixantrone will be distributed in Israel by the Neopharm Group.
“The approval of Pixuvri in Israel provides patients with aggressive B-cell NHL who have failed second- or third-line therapy a new approved option, where none existed before, that can effectively treat their disease with manageable side effects,” said Abraham Avigdor, MD, of Tel Aviv University.
“Patients who have relapsed after second-line therapy have a poor survival outcome. It is vital to have additional treatment options available, like Pixuvri, so we can provide these patients the best care possible and help them battle their disease.”
The main study of pixantrone, the phase 3 EXTEND PIX301 trial, compared the drug to other chemotherapeutic agents in patients with relapsed or refractory NHL. The response rate was 20% in the pixantrone arm and 6% in the comparator arm.
In addition, patients receiving pixantrone had longer progression-free survival than patients in the comparator group, with a median of 10.2 months and 7.6 months, respectively.
However, grade 3/4 adverse events—including neutropenia, leukopenia, and thrombocytopenia—were more common in the pixantrone arm.
Pixantrone is already marketed in the European Union. In 2012, the European Commission granted conditional marketing authorization for the drug as monotherapy for adults with relapsed or refractory aggressive B-cell NHL.
Under the provisions of the conditional marketing authorization, Cell Therapeutics, Inc., the company developing pixantrone, will be required to complete a post-marketing study aimed at confirming the drug’s clinical benefit.
The European Medicines Agency’s Committee for Medicinal Products for Human Use has accepted PIX306, a randomized, phase 3 trial comparing pixantrone plus rituximab to gemcitabine plus rituximab in patients who have relapsed after 1 to 3 prior regimens for aggressive B-cell NHL and who are not eligible for autologous stem cell transplant.
As a condition of approval, Cell Therapeutics has agreed to have the trial data available by June 2015.
Pixantrone is not approved for use in the US.
The Israeli Ministry of Health has granted approval for the antineoplastic agent pixantrone (Pixuvri).
The drug is now approved as monotherapy for adults with relapsed or refractory aggressive B-cell non-Hodgkin lymphoma (NHL) who have received fewer than 4 previous courses of treatment.
The benefit of pixantrone has not been established when used as fifth-line or greater treatment in patients who were refractory to their last therapy.
Pixantrone will be distributed in Israel by the Neopharm Group.
“The approval of Pixuvri in Israel provides patients with aggressive B-cell NHL who have failed second- or third-line therapy a new approved option, where none existed before, that can effectively treat their disease with manageable side effects,” said Abraham Avigdor, MD, of Tel Aviv University.
“Patients who have relapsed after second-line therapy have a poor survival outcome. It is vital to have additional treatment options available, like Pixuvri, so we can provide these patients the best care possible and help them battle their disease.”
The main study of pixantrone, the phase 3 EXTEND PIX301 trial, compared the drug to other chemotherapeutic agents in patients with relapsed or refractory NHL. The response rate was 20% in the pixantrone arm and 6% in the comparator arm.
In addition, patients receiving pixantrone had longer progression-free survival than patients in the comparator group, with a median of 10.2 months and 7.6 months, respectively.
However, grade 3/4 adverse events—including neutropenia, leukopenia, and thrombocytopenia—were more common in the pixantrone arm.
Pixantrone is already marketed in the European Union. In 2012, the European Commission granted conditional marketing authorization for the drug as monotherapy for adults with relapsed or refractory aggressive B-cell NHL.
Under the provisions of the conditional marketing authorization, Cell Therapeutics, Inc., the company developing pixantrone, will be required to complete a post-marketing study aimed at confirming the drug’s clinical benefit.
The European Medicines Agency’s Committee for Medicinal Products for Human Use has accepted PIX306, a randomized, phase 3 trial comparing pixantrone plus rituximab to gemcitabine plus rituximab in patients who have relapsed after 1 to 3 prior regimens for aggressive B-cell NHL and who are not eligible for autologous stem cell transplant.
As a condition of approval, Cell Therapeutics has agreed to have the trial data available by June 2015.
Pixantrone is not approved for use in the US.
Military technology has application for malaria
Credit: Peter H. Seeberger
Researchers have used military technology to develop a test for detecting malaria parasites in the blood.
The team used a detector known as a focal plane array (FPA), which was originally developed for heat-seeking missiles.
The FPA gives highly detailed information on a sample area in minutes. The heat-seeking detector, which is coupled to an infrared imaging microscope, could detect the malaria parasite in a single red blood cell.
The infrared signature from the fatty acids of the parasites allowed the researchers to detect the parasite at its earliest stages and determine the number of parasites in a blood smear.
The team described the technology in Analyst.
“Our test detects malaria at its very early stages, so that doctors can stop the disease in its tracks before it takes hold and kills,” said study author Bayden Wood, PhD, of Monash University in Victoria, Australia. “We believe this sets the gold standard for malaria testing.”
“There are some excellent tests that diagnose malaria. However, the sensitivity is limited, and the best methods require hours of input from skilled microscopists, and that’s a problem in developing countries where malaria is most prevalent.”
The new test, on the other hand, gives an automatic diagnosis within 4 minutes and doesn’t require a specialist technician.
Study author Leann Tilley, PhD, of the University of Melbourne in Australia, said the test could make an impact in large-scale screening of malaria parasite carriers who do not present with the classic fever-type symptoms associated with the disease.
“In many countries, only people who display signs of malaria are treated,” Dr Tilley said. “But the problem with this approach is that some people don’t have typical flu-like symptoms associated with malaria, and this means a reservoir of parasites persists that can reemerge and spread very quickly within a community.”
“Our test works because it can detect the malaria parasite at the very early stages and can reliably detect it in an automated manner in a single red blood cell. No other test can do that.”
FPA detectors were originally developed for Javelin Portable anti-tank missiles in the 1990s. The heat-seeking detector is used on shoulder-fired missiles but can also be installed on tracked, wheeled, or amphibious vehicles, providing spatial and spectral information in a matter of seconds.
The FPA detector used in this project was coupled to a synchrotron source located at the InfraRed Environmental Imaging facility at the Synchrotron Radiation Center in Wisconsin.
For the next phase of this research, Dr Wood’s team is collaborating with Patcharee Jearanaikoon, PhD, of Kohn Kaen University in Thailand, to test the technology in clinics.
Credit: Peter H. Seeberger
Researchers have used military technology to develop a test for detecting malaria parasites in the blood.
The team used a detector known as a focal plane array (FPA), which was originally developed for heat-seeking missiles.
The FPA gives highly detailed information on a sample area in minutes. The heat-seeking detector, which is coupled to an infrared imaging microscope, could detect the malaria parasite in a single red blood cell.
The infrared signature from the fatty acids of the parasites allowed the researchers to detect the parasite at its earliest stages and determine the number of parasites in a blood smear.
The team described the technology in Analyst.
“Our test detects malaria at its very early stages, so that doctors can stop the disease in its tracks before it takes hold and kills,” said study author Bayden Wood, PhD, of Monash University in Victoria, Australia. “We believe this sets the gold standard for malaria testing.”
“There are some excellent tests that diagnose malaria. However, the sensitivity is limited, and the best methods require hours of input from skilled microscopists, and that’s a problem in developing countries where malaria is most prevalent.”
The new test, on the other hand, gives an automatic diagnosis within 4 minutes and doesn’t require a specialist technician.
Study author Leann Tilley, PhD, of the University of Melbourne in Australia, said the test could make an impact in large-scale screening of malaria parasite carriers who do not present with the classic fever-type symptoms associated with the disease.
“In many countries, only people who display signs of malaria are treated,” Dr Tilley said. “But the problem with this approach is that some people don’t have typical flu-like symptoms associated with malaria, and this means a reservoir of parasites persists that can reemerge and spread very quickly within a community.”
“Our test works because it can detect the malaria parasite at the very early stages and can reliably detect it in an automated manner in a single red blood cell. No other test can do that.”
FPA detectors were originally developed for Javelin Portable anti-tank missiles in the 1990s. The heat-seeking detector is used on shoulder-fired missiles but can also be installed on tracked, wheeled, or amphibious vehicles, providing spatial and spectral information in a matter of seconds.
The FPA detector used in this project was coupled to a synchrotron source located at the InfraRed Environmental Imaging facility at the Synchrotron Radiation Center in Wisconsin.
For the next phase of this research, Dr Wood’s team is collaborating with Patcharee Jearanaikoon, PhD, of Kohn Kaen University in Thailand, to test the technology in clinics.
Credit: Peter H. Seeberger
Researchers have used military technology to develop a test for detecting malaria parasites in the blood.
The team used a detector known as a focal plane array (FPA), which was originally developed for heat-seeking missiles.
The FPA gives highly detailed information on a sample area in minutes. The heat-seeking detector, which is coupled to an infrared imaging microscope, could detect the malaria parasite in a single red blood cell.
The infrared signature from the fatty acids of the parasites allowed the researchers to detect the parasite at its earliest stages and determine the number of parasites in a blood smear.
The team described the technology in Analyst.
“Our test detects malaria at its very early stages, so that doctors can stop the disease in its tracks before it takes hold and kills,” said study author Bayden Wood, PhD, of Monash University in Victoria, Australia. “We believe this sets the gold standard for malaria testing.”
“There are some excellent tests that diagnose malaria. However, the sensitivity is limited, and the best methods require hours of input from skilled microscopists, and that’s a problem in developing countries where malaria is most prevalent.”
The new test, on the other hand, gives an automatic diagnosis within 4 minutes and doesn’t require a specialist technician.
Study author Leann Tilley, PhD, of the University of Melbourne in Australia, said the test could make an impact in large-scale screening of malaria parasite carriers who do not present with the classic fever-type symptoms associated with the disease.
“In many countries, only people who display signs of malaria are treated,” Dr Tilley said. “But the problem with this approach is that some people don’t have typical flu-like symptoms associated with malaria, and this means a reservoir of parasites persists that can reemerge and spread very quickly within a community.”
“Our test works because it can detect the malaria parasite at the very early stages and can reliably detect it in an automated manner in a single red blood cell. No other test can do that.”
FPA detectors were originally developed for Javelin Portable anti-tank missiles in the 1990s. The heat-seeking detector is used on shoulder-fired missiles but can also be installed on tracked, wheeled, or amphibious vehicles, providing spatial and spectral information in a matter of seconds.
The FPA detector used in this project was coupled to a synchrotron source located at the InfraRed Environmental Imaging facility at the Synchrotron Radiation Center in Wisconsin.
For the next phase of this research, Dr Wood’s team is collaborating with Patcharee Jearanaikoon, PhD, of Kohn Kaen University in Thailand, to test the technology in clinics.
EHR Impact on Patient Experience
Delivering patient‐centered care is at the core of ensuring patient engagement and active participation that will lead to positive outcomes. Physician‐patient interaction has become an area of increasing focus in an effort to optimize the patient experience. Positive patient‐provider communication has been shown to increase satisfaction,[1, 2, 3, 4] decrease the likelihood of medical malpractice lawsuits,[5, 6, 7, 8] and improve clinical outcomes.[9, 10, 11, 12, 13] Specifically, a decrease in psychological symptoms such as anxiety and stress, as well as perception of physical symptoms have been correlated with improved communication.[9, 12] Furthermore, objective health outcomes, such as improvement in hypertension and glycosylated hemoglobin, have also been correlated with improved physician‐patient communication.[10, 11, 13] The multifaceted effects of improved communication are impactful to both the patient and the physician; therefore, it is essential that we understand how to optimize this interaction.
Patient‐centered care is a critical objective for many high‐quality healthcare systems.[14] In recent years, the use of electronic health records (EHRs) has been increasingly adopted by healthcare systems nationally in an effort to improve the quality of care delivered. The positive benefits of EHRs on the facilitation of healthcare, including consolidation of information, reduction of medical errors, easily transferable medical records,[15, 16, 17] as well as their impact on healthcare spending,[18] are well‐documented and have been emphasized as reasons for adoption of EHRs by the Patient Protection and Affordable Care Act. However, EHR implementation has encountered some resistance regarding its impact on the patient experience.
As EHR implementation is exponentially increasing in the United States, there is limited literature on the consequences of this technology.[19] Barriers reported during EHR implementation include the limitations of standardization, attitudinal and organizational constraints, behavior of individuals, and resistance to change.[20] Additionally, poor EHR system design and improper use can cause errors that jeopardize the integrity of the information inputted, leading to inaccuracies that endanger patient safety or decrease the quality of care.[21]
One of the limitations of EHRs has been the reported negative impact on patient‐centered care by decreasing communication during the hospital visit.[22] Although the EHR has enhanced internal provider communication,[23] the literature suggests a lack of focus on the patient sitting in front of the provider. Due to perceived physician distraction during the visit, patients report decreased satisfaction when physicians spend a considerable period of time during the visit at the computer.[22] Furthermore, the average hospital length of stay has been increased due to the use of EHRs.[22]
Although some physicians report that EHR use impedes patient workflow and decreases time spent with patients,[23] previous literature suggests that EHRs decrease the time to develop a synopsis and improve communication efficiency.[19] Some studies have also noted an increase in the ability for medical history retrieval and analysis, which will ultimately increase the quality of care provided to the patient.[24] Physicians who use the EHR adopted a more active role in clarifying information, encouraging questions, and ensuring completeness at the end of a visit.[25] Finally, studies show that the EHR has a positive return on investment from savings in drug expenditures, radiology tests, and billing errors.[26] Given the significant financial and time commitment that health systems and physicians must invest to implement EHRs, it is vital that we understand the multifaceted effects of EHRs on the field of medicine.
METHODS
The purpose of this study was to assess the physician‐patient communication patterns associated with the implementation and use of an EHR in a hospital setting.
ARC Medical Program
In 2006, the Office of Patient Experience at University of California, Los Angeles (UCLA) Health, in conjunction with the David Geffen School of Medicine at UCLA, launched the Assessing Residents' CI‐CARE (ARC) Medical Program. CI‐CARE is a protocol that emphasizes for medical staff and providers to Connect with their patients, Introduce themselves, Communicate their purpose, Ask or anticipate patients' needs, Respond to questions with immediacy, and to Exit courteously. CI‐CARE represents the standards for staff and providers in any encounter with patients or their families. The goals of the ARC Medical Program are to monitor housestaff performance and patient satisfaction while improving trainee education through timely and patient‐centered feedback. The ARC Medical Program's survey has served as an important tool to assess and improve physician professionalism and interpersonal skills and communication, 2 of the Accreditation Council for Graduate Medical Education core competencies.[27]
The ARC program is a unique and innovative volunteer program that provides timely and patient‐centered feedback from trainees' daily encounters with hospitalized patients. The ARC Medical Program has an established infrastructure to conduct evaluations on a system‐wide scale, including 9 departments within UCLA Health. ARC volunteers interview patients using a CI‐CARE Questionnaire (ARC survey) to assess their resident physician's communication patterns. The ARC Survey targets specific areas of the residents' care as outlined by the CI‐CARE Program of UCLA Health.
As part of UCLA Health's mission to ensure the highest level of patient‐centered care, the CI‐CARE standards were introduced in 2006, followed by implementation of the EHR system. Given the lack of previous research and conflicting results on the impact of EHRs on the patient experience, this article uses ARC data to assess whether or not there was a significant difference following implementation of the EHR on March 2, 2013.
The materials and methods of this study are largely based on those of a previous study, also published by the ARC Medical Program.[27]
CI‐CARE QuestionnaireARC Survey
The CI‐CARE Questionnaire is a standardized audit tool consisting of a total of 20 questions used by the facilitators who work with ARC. There are a total of 20 items on the ARC survey, including 18 multiple‐choice, polar, and Likert‐scale questions, and 2 free‐response questions that assess the patients' overall perception of their resident physician and their hospital experience. Questions 1 and 2 pertain to the recognition of attending physicians and resident physicians, respectively. Questions 3, 4, 6, 7, and 8 are Likert‐scalebased questions assessing the residents' professionalism. Questions 9 through 14 are Likert‐scalebased items included to evaluate the quality of communication between patient and provider. We categorized questions 5 and 15 as relating to diagnostics.[27] In 2012, ARC implemented 3 additional questions that assessed residents' communication skills (question 16), level of medical expertise (question 17), and quality of medical care (question 18). We chose to examine the CI‐CARE Questionnaire instead of a standard survey such as the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), because it examines the physician‐patient interaction in more detail. The survey can be reviewed in Figure 1.

Interview Procedure
The ARC Medical Program is comprised of 47 premedical UCLA students who conducted the surveys. New surveyors were trained by the senior surveyors for a minimum of 12 hours before conducting a survey independently. All surveyors were evaluated biyearly by their peers and the program director for quality assurance and to ensure uniform procedures. The volunteers' surveying experience on December 1, 2012 was as follows: (=10 months [237 months], =10 months).
Prior to the interview, the surveyor introduces himself or herself, the purpose and length of the interview, and that the patient's anonymous participation is optional and confidential. Upon receiving verbal consent from the patient, the surveyor presents a picture card to the patient and asks him or her to identify a resident who was on rotation who treated them. If the patient is able to identify the resident who treated them, the surveyor asks each question and records each response verbatim. The surveyors are trained not to probe for responses, and to ensure that the patients answer in accordance with the possible responses. Although it has not been formally studied, the inter‐rater reliability of the survey is likely to be very high due to the verbatim requirements.
Population Interviewed
A total of 3414 surveys were collected from patients seen in the departments of internal medicine, family medicine, pediatrics, general surgery, head and neck surgery, orthopedic surgery, neurosurgery, neurology, and obstetrics and gynecology in this retrospective cohort study. Exclusion criteria included patients who were not awake, were not conscious, could not confidently identify a resident, or stated that they were not able to confidently complete the survey.
Data Analysis
The researchers reviewed and evaluated all data gathered using standard protocols. Statistical comparisons were made using [2] tests. All quantitative analyses were performed in Excel 2010 (Microsoft Corp., Redmond, WA) and SPSS version 21 (IBM Corp., Armonk, NY).
Institutional Review Board
This project received an exemption by the UCLA institutional review board.
RESULTS
There were a total of 3414 interviews conducted and completed from December 1, 2012 to May 30, 2013. Altogether, 1567 surveys were collected 3 months prior to EHR implementation (DecemberFebruary), and 1847 surveys were collected 3 months following implementation (MarchMay). The survey breakdown is summarized in Table 1.
Department | Pre (N) | Post (N) | Total (N) |
---|---|---|---|
| |||
Family medicine | 65 | 128 | 193 |
General surgery | 226 | 246 | 472 |
Head and neck surgery | 43 | 65 | 108 |
Internal medicine | 439 | 369 | 808 |
Neurology | 81 | 98 | 179 |
Neurosurgery | 99 | 54 | 153 |
OB/GYN | 173 | 199 | 372 |
Orthopedic surgery | 117 | 128 | 245 |
Pediatrics | 324 | 563 | 887 |
Totals | 1,567 | 1,850 | 3,417 |
2 analysis revealed that the residents received significantly better feedback in the 3 months following EHR implementation, compared to the 3 months prior to implementation on questions 3, addressing the patient by their preferred name; 4, introducing themselves and their role; 5, communicating what they will do, how long it will take, and how it will impact the patient; 7, responding to the patient's requests and questions with immediacy; 8, listening to the patient's questions and concerns; 9, doing their utmost to ensure the patient receives the best care; 10, communicating well with the patient; 11, being respectful and considerate; and 12, being sensitive to the patient's physical and emotional needs (P<0.05) (Table 2).
Question | Pre‐EHR % Responses (n=1,567) | Post‐EHR % Responses (n=1,850) | 2 Significance | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | |||
| ||||||||||||
3 | Address you by preferred name? | 90.1 | 3.8 | 2.7 | 3.4 | 91.5 | 3.6 | 1.3 | 3.6 | 0.032* | ||
4 | Introduce himself/herself? | 88.3 | 6.4 | 3.2 | 2.1 | 93.1 | 3.6 | 1.8 | 1.5 | 0.000* | ||
5 | Communicate what he/she will do? | 83.1 | 9.3 | 4.5 | 3.2 | 86.9 | 6.4 | 3.5 | 3.3 | 0.006* | ||
6 | Ask if you have any questions? | 90.9 | 6.2 | 2.9 | 92.4 | 4.9 | 2.7 | 0.230 | ||||
7 | Respond with immediacy? | 92.5 | 5.4 | 2.2 | 94.6 | 3.4 | 2.1 | 0.015* | ||||
8 | Listens to your questions and concerns? | 94.8 | 4.0 | 1.1 | 96.6 | 2.4 | 1.0 | 0.022* | ||||
9 | Ensure you received the best care? | 92.4 | 6.3 | 1.3 | 95.2 | 3.9 | 1.0 | 0.003* | ||||
10 | Communicates well with you? | 92.3 | 6.3 | 1.5 | 94.8 | 4.2 | 0.9 | 0.009* | ||||
11 | Is respectful and considerate? | 96.5 | 2.7 | 0.8 | 98.0 | 1.6 | 0.4 | 0.025* | ||||
12 | Sensitive to your physical and emotional needs? | 90.4 | 6.9 | 2.7 | 94.5 | 3.9 | 1.6 | 0.000* | ||||
13 | Uses language that you can understand? | 96.5 | 2.8 | 0.7 | 96.9 | 2.8 | 0.4 | 0.431 | ||||
14 | Educated you/family about condition/care? | 84.0 | 8.6 | 7.4 | 86.6 | 7.4 | 6.0 | 0.111 | ||||
15 | Exit courteously? | 89.7 | 6.6 | 3.6 | 91.7 | 5.2 | 3.1 | 0.130 | ||||
16 | Communication skills? | 75.6 | 19.5 | 3.6 | 0.7 | 0.7 | 78.6 | 16.9 | 3.9 | 0.4 | 0.3 | 0.077 |
17 | Medical expertise? | 79.5 | 15.9 | 3.5 | 0.7 | 0.4 | 80.0 | 16.5 | 2.7 | 0.5 | 0.2 | 0.398 |
18 | Quality medical care? | 82.5 | 13.0 | 2.8 | 0.8 | 0.9 | 82.6 | 13.6 | 2.7 | 0.7 | 0.5 | 0.754 |
ARC surveyed for 10 weeks prior to our reported sample (OctoberDecember) and 22 weeks prior to EHR implementation total (OctoberMarch). To rule out resident improvement due to the confounding effects of time and experience, we compared the data from the first 11 weeks (OctoberDecember) to the second 11 weeks (DecemberMarch) prior to EHR implementation. [2] analysis revealed that only 6 of the 16 questions showed improvement in this period, and just 1 of these improvements (question 3) was significant. Furthermore, 10 of the 16 questions actually received worse responses in this period, and 2 of these declines (questions 9 and 12) were significant (Table 3).
Question | First 11 Weeks' Responses (n=897) | Second 11 Weeks' Responses (n=1,338) | 2 Significance | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | |||
| ||||||||||||
3 | Address you by preferred name? | 87.1 | 6.4 | 4.6 | 2.0 | 90.7 | 3.7 | 2.3 | 3.4 | 0.000* | ||
4 | Introduce himself/herself? | 87.7 | 6.9 | 4.1 | 1.2 | 88.3 | 6.1 | 3.3 | 2.3 | 0.174 | ||
5 | Communicate what he/she will do? | 82.9 | 8.2 | 5.1 | 3.7 | 83.2 | 9.1 | 4.3 | 3.4 | 0.698 | ||
6 | Ask if you have any questions? | 92.0 | 5.9 | 2.1 | 90.7 | 6.1 | 3.1 | 0.336 | ||||
7 | Respond with immediacy? | 91.2 | 6.6 | 2.2 | 92.8 | 5.2 | 2.1 | 0.353 | ||||
8 | Listens to your questions and concerns? | 94.6 | 3.9 | 1.4 | 95.0 | 3.8 | 1.2 | 0.868 | ||||
9 | Ensure you received the best care? | 94.4 | 5.0 | 0.6 | 92.1 | 6.5 | 1.4 | 0.049* | ||||
10 | Communicates well with you? | 93.3 | 5.9 | 0.8 | 92.4 | 5.9 | 1.7 | 0.167 | ||||
11 | Is respectful and considerate? | 97.3 | 2.1 | 0.6 | 96.4 | 2.7 | 0.9 | 0.455 | ||||
12 | Sensitive to your physical and emotional needs? | 93.2 | 5.5 | 1.3 | 90.3 | 6.9 | 2.8 | 0.022* | ||||
13 | Uses language that you can understand? | 96.2 | 3.5 | 0.3 | 96.4 | 2.8 | 0.7 | 0.327 | ||||
14 | Educated you/family about condition/care? | 85.7 | 8.9 | 5.4 | 83.8 | 8.7 | 7.5 | 0.141 | ||||
15 | Exit courteously? | 89.7 | 7.8 | 2.5 | 89.6 | 6.6 | 3.8 | 0.124 | ||||
16 | Communication skills? | 78.7 | 17.1 | 2.9 | 0.7 | 0.7 | 75.9 | 19 | 3.6 | 0.7 | 0.8 | 0.633 |
17 | Medical expertise? | 82.3 | 13.3 | 3.9 | 0.1 | 0.4 | 78.9 | 16.1 | 3.6 | 0.8 | 0.5 | 0.062 |
18 | Quality medical care? | 82.7 | 13.5 | 2.6 | 0.8 | 0.4 | 82.1 | 13.0 | 3.0 | 0.9 | 1.0 | 0.456 |
DISCUSSION
The adoption of EHRs has been fueled by their suggested improvement on healthcare quality and spending.[15, 16, 17, 18] Few studies have investigated the patient experience and its relation to EHR implementation. Furthermore, these studies have not yielded consistent results,[19, 20, 21, 22, 23, 25] raising uncertainty about the effects of EHRs on the patient experience. Possible barriers that may contribute to the scarcity of literature include the relatively recent large‐scale implementation of EHRs and a lack of programs in place to collect extensive data on the physician‐patient relationship.
In a field with increasing demands on patient‐centered care, we need to find ways to preserve and foster the patient‐physician relationship. Given that improvements in the delivery of compassionate care can positively impact clinical outcomes, the likelihood of medical malpractice lawsuits, and patient satisfaction,[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] the need to improve the patient‐provider relationship is tremendously important. Following EHR implementation, residents were perceived to provide more frequent diagnostics information including the nature, impact, and treatment of conditions. Furthermore, they were perceived to provide significantly better communication quality following implementation, through care monitoring, respectful and sensitive communication, and enhanced patient and family education. Residents were also perceived as being more professional following implementation, as indicated by positive assessments of several interpersonal communication questions. These results suggest that implementing an EHR may be an effective way to meet these increasing demands on patient‐centered care.
Limitations to this study should be considered. The ARC Medical Program is primarily used as an education tool for resident physicians, so all of our data are specific to resident physicians. It would be interesting and important to observe if EHRs affect nurse or attending‐patient interactions. Furthermore, we did not have access to any patient demographic or clinical data. However, we did not anticipate a significant change in the patient population that would alter the survey responses during this 6‐month period. Patients were required to recognize their resident on a photo card presented to them by the surveyor, which likely favored patients with strong feelings toward their residents. Due to this, our population sampled may not be indicative of the entire patient population. All findings were simply correlational. Due to the nature of our data collection, we were unable to control for many confounding variables, thus causal conclusions are difficult to draw from these results.
There are a few important trends to note. No question on the ARC survey received lower scores following implementation of the EHR. Furthermore, 9 of the 16 questions under investigation received significantly higher scores following implementation. The residents largely received positive responses both before and after EHR implementation, so despite the statistically significant improvements, the absolute differences are relatively small. These significant differences were likely not due to the residents improving through time and experience. We observed relatively insignificant and nonuniform changes in responses between the two 11‐week periods prior to implementation.
One possible reason for the observed significant improvements is that EHRs may increase patient involvement in the healthcare setting,[28] and this collaboration might improve resident‐patient communication.[29] Providing patients with an interactive tablet that details their care has been suggested to increase patient satisfaction and comfort in an inpatient setting.[30] In this light, the EHR can be used as a tool to increase these interactions by inviting patients to view the computer screen and electronic charts during data entry, which allows them to have a participatory role in their care and decision‐making process.[31] Although the reasons for our observed improvements are unclear, they are noteworthy and warrant further study. The notion that implementing an EHR might enhance provider‐patient communication is a powerful concept.
This study not only suggests the improvement of resident‐patient communication due to the implementation of an EHR, but it also reveals the value of the ARC Medical Program for studying the patient experience. The controlled, prolonged, and efficient nature of the ARC Medical Program's data collection was ideal for comparing a change in resident‐patient communication before and after EHR implementation at UCLA Health. ARC and UCLA Health's EHR can serve as a model for residency programs nationwide. Future studies can assess the changes of the patient‐provider interaction for any significant event, as demonstrated by this study and its investigation of the implementation of UCLA Health's EHR.
Acknowledgements
The authors acknowledge the UCLA Health Office of the Patient Experience and UCLA Health for allowing for this unique partnership with the David Geffen School of Medicine to improve physician‐patient communication. Furthermore, the authors thank the student volunteers and interns of the ARC Medical program for their commitment and effort to optimize the patient experience. Additionally, the authors thank the program directors of the David Geffen School of Medicine residency physician training programs for their outstanding support of the ARC Medical Program.
Disclosures: C.W.M. and A.A.N. contributed equally to this manuscript. C.W.M. and A.A.N. collected data, performed statistical analyses, and drafted and revised the manuscript. A.A.N. and V.N.M. oversaw the program. N.A. provided faculty support and revised the manuscript. The authors report no conflicts of interest.
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- Do hospitals with electronic medical records (EMRs) provide higher quality care?: an examination of three clinical conditions. Med Care Res Rev. 2008;65(4):496–513. , .
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- An electronic medical record in primary care: impact on satisfaction, work efficiency and clinic processes. AMIA Annu Symp.2006:394–398. , , , .
- Barriers to implement electronic health records (EHRs). Mater Sociomed. 2013;25(3):213–215. , .
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- Cost‐benefit analysis of electronic medical record system at a tertiary care hospital. Healthc Inform Res. 2013;19(3):205–214. , , .
- Promoting patient‐centred care through trainee feedback: assessing residents' C‐I‐CARE (ARC) program. BMJ Qual Saf. 2012;21(3):225–233. , , , .
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- Let the left hand know what the right is doing: a vision for care coordination and electronic health records. J Am Med Inform Assoc. 2014;21(1):13–16. , .
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- Enhancing patient‐centered communication and collaboration by using the electronic health record in the examination room. J Am Med Assoc. 2013;309(22):2327–2328. , .
Delivering patient‐centered care is at the core of ensuring patient engagement and active participation that will lead to positive outcomes. Physician‐patient interaction has become an area of increasing focus in an effort to optimize the patient experience. Positive patient‐provider communication has been shown to increase satisfaction,[1, 2, 3, 4] decrease the likelihood of medical malpractice lawsuits,[5, 6, 7, 8] and improve clinical outcomes.[9, 10, 11, 12, 13] Specifically, a decrease in psychological symptoms such as anxiety and stress, as well as perception of physical symptoms have been correlated with improved communication.[9, 12] Furthermore, objective health outcomes, such as improvement in hypertension and glycosylated hemoglobin, have also been correlated with improved physician‐patient communication.[10, 11, 13] The multifaceted effects of improved communication are impactful to both the patient and the physician; therefore, it is essential that we understand how to optimize this interaction.
Patient‐centered care is a critical objective for many high‐quality healthcare systems.[14] In recent years, the use of electronic health records (EHRs) has been increasingly adopted by healthcare systems nationally in an effort to improve the quality of care delivered. The positive benefits of EHRs on the facilitation of healthcare, including consolidation of information, reduction of medical errors, easily transferable medical records,[15, 16, 17] as well as their impact on healthcare spending,[18] are well‐documented and have been emphasized as reasons for adoption of EHRs by the Patient Protection and Affordable Care Act. However, EHR implementation has encountered some resistance regarding its impact on the patient experience.
As EHR implementation is exponentially increasing in the United States, there is limited literature on the consequences of this technology.[19] Barriers reported during EHR implementation include the limitations of standardization, attitudinal and organizational constraints, behavior of individuals, and resistance to change.[20] Additionally, poor EHR system design and improper use can cause errors that jeopardize the integrity of the information inputted, leading to inaccuracies that endanger patient safety or decrease the quality of care.[21]
One of the limitations of EHRs has been the reported negative impact on patient‐centered care by decreasing communication during the hospital visit.[22] Although the EHR has enhanced internal provider communication,[23] the literature suggests a lack of focus on the patient sitting in front of the provider. Due to perceived physician distraction during the visit, patients report decreased satisfaction when physicians spend a considerable period of time during the visit at the computer.[22] Furthermore, the average hospital length of stay has been increased due to the use of EHRs.[22]
Although some physicians report that EHR use impedes patient workflow and decreases time spent with patients,[23] previous literature suggests that EHRs decrease the time to develop a synopsis and improve communication efficiency.[19] Some studies have also noted an increase in the ability for medical history retrieval and analysis, which will ultimately increase the quality of care provided to the patient.[24] Physicians who use the EHR adopted a more active role in clarifying information, encouraging questions, and ensuring completeness at the end of a visit.[25] Finally, studies show that the EHR has a positive return on investment from savings in drug expenditures, radiology tests, and billing errors.[26] Given the significant financial and time commitment that health systems and physicians must invest to implement EHRs, it is vital that we understand the multifaceted effects of EHRs on the field of medicine.
METHODS
The purpose of this study was to assess the physician‐patient communication patterns associated with the implementation and use of an EHR in a hospital setting.
ARC Medical Program
In 2006, the Office of Patient Experience at University of California, Los Angeles (UCLA) Health, in conjunction with the David Geffen School of Medicine at UCLA, launched the Assessing Residents' CI‐CARE (ARC) Medical Program. CI‐CARE is a protocol that emphasizes for medical staff and providers to Connect with their patients, Introduce themselves, Communicate their purpose, Ask or anticipate patients' needs, Respond to questions with immediacy, and to Exit courteously. CI‐CARE represents the standards for staff and providers in any encounter with patients or their families. The goals of the ARC Medical Program are to monitor housestaff performance and patient satisfaction while improving trainee education through timely and patient‐centered feedback. The ARC Medical Program's survey has served as an important tool to assess and improve physician professionalism and interpersonal skills and communication, 2 of the Accreditation Council for Graduate Medical Education core competencies.[27]
The ARC program is a unique and innovative volunteer program that provides timely and patient‐centered feedback from trainees' daily encounters with hospitalized patients. The ARC Medical Program has an established infrastructure to conduct evaluations on a system‐wide scale, including 9 departments within UCLA Health. ARC volunteers interview patients using a CI‐CARE Questionnaire (ARC survey) to assess their resident physician's communication patterns. The ARC Survey targets specific areas of the residents' care as outlined by the CI‐CARE Program of UCLA Health.
As part of UCLA Health's mission to ensure the highest level of patient‐centered care, the CI‐CARE standards were introduced in 2006, followed by implementation of the EHR system. Given the lack of previous research and conflicting results on the impact of EHRs on the patient experience, this article uses ARC data to assess whether or not there was a significant difference following implementation of the EHR on March 2, 2013.
The materials and methods of this study are largely based on those of a previous study, also published by the ARC Medical Program.[27]
CI‐CARE QuestionnaireARC Survey
The CI‐CARE Questionnaire is a standardized audit tool consisting of a total of 20 questions used by the facilitators who work with ARC. There are a total of 20 items on the ARC survey, including 18 multiple‐choice, polar, and Likert‐scale questions, and 2 free‐response questions that assess the patients' overall perception of their resident physician and their hospital experience. Questions 1 and 2 pertain to the recognition of attending physicians and resident physicians, respectively. Questions 3, 4, 6, 7, and 8 are Likert‐scalebased questions assessing the residents' professionalism. Questions 9 through 14 are Likert‐scalebased items included to evaluate the quality of communication between patient and provider. We categorized questions 5 and 15 as relating to diagnostics.[27] In 2012, ARC implemented 3 additional questions that assessed residents' communication skills (question 16), level of medical expertise (question 17), and quality of medical care (question 18). We chose to examine the CI‐CARE Questionnaire instead of a standard survey such as the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), because it examines the physician‐patient interaction in more detail. The survey can be reviewed in Figure 1.

Interview Procedure
The ARC Medical Program is comprised of 47 premedical UCLA students who conducted the surveys. New surveyors were trained by the senior surveyors for a minimum of 12 hours before conducting a survey independently. All surveyors were evaluated biyearly by their peers and the program director for quality assurance and to ensure uniform procedures. The volunteers' surveying experience on December 1, 2012 was as follows: (=10 months [237 months], =10 months).
Prior to the interview, the surveyor introduces himself or herself, the purpose and length of the interview, and that the patient's anonymous participation is optional and confidential. Upon receiving verbal consent from the patient, the surveyor presents a picture card to the patient and asks him or her to identify a resident who was on rotation who treated them. If the patient is able to identify the resident who treated them, the surveyor asks each question and records each response verbatim. The surveyors are trained not to probe for responses, and to ensure that the patients answer in accordance with the possible responses. Although it has not been formally studied, the inter‐rater reliability of the survey is likely to be very high due to the verbatim requirements.
Population Interviewed
A total of 3414 surveys were collected from patients seen in the departments of internal medicine, family medicine, pediatrics, general surgery, head and neck surgery, orthopedic surgery, neurosurgery, neurology, and obstetrics and gynecology in this retrospective cohort study. Exclusion criteria included patients who were not awake, were not conscious, could not confidently identify a resident, or stated that they were not able to confidently complete the survey.
Data Analysis
The researchers reviewed and evaluated all data gathered using standard protocols. Statistical comparisons were made using [2] tests. All quantitative analyses were performed in Excel 2010 (Microsoft Corp., Redmond, WA) and SPSS version 21 (IBM Corp., Armonk, NY).
Institutional Review Board
This project received an exemption by the UCLA institutional review board.
RESULTS
There were a total of 3414 interviews conducted and completed from December 1, 2012 to May 30, 2013. Altogether, 1567 surveys were collected 3 months prior to EHR implementation (DecemberFebruary), and 1847 surveys were collected 3 months following implementation (MarchMay). The survey breakdown is summarized in Table 1.
Department | Pre (N) | Post (N) | Total (N) |
---|---|---|---|
| |||
Family medicine | 65 | 128 | 193 |
General surgery | 226 | 246 | 472 |
Head and neck surgery | 43 | 65 | 108 |
Internal medicine | 439 | 369 | 808 |
Neurology | 81 | 98 | 179 |
Neurosurgery | 99 | 54 | 153 |
OB/GYN | 173 | 199 | 372 |
Orthopedic surgery | 117 | 128 | 245 |
Pediatrics | 324 | 563 | 887 |
Totals | 1,567 | 1,850 | 3,417 |
2 analysis revealed that the residents received significantly better feedback in the 3 months following EHR implementation, compared to the 3 months prior to implementation on questions 3, addressing the patient by their preferred name; 4, introducing themselves and their role; 5, communicating what they will do, how long it will take, and how it will impact the patient; 7, responding to the patient's requests and questions with immediacy; 8, listening to the patient's questions and concerns; 9, doing their utmost to ensure the patient receives the best care; 10, communicating well with the patient; 11, being respectful and considerate; and 12, being sensitive to the patient's physical and emotional needs (P<0.05) (Table 2).
Question | Pre‐EHR % Responses (n=1,567) | Post‐EHR % Responses (n=1,850) | 2 Significance | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | |||
| ||||||||||||
3 | Address you by preferred name? | 90.1 | 3.8 | 2.7 | 3.4 | 91.5 | 3.6 | 1.3 | 3.6 | 0.032* | ||
4 | Introduce himself/herself? | 88.3 | 6.4 | 3.2 | 2.1 | 93.1 | 3.6 | 1.8 | 1.5 | 0.000* | ||
5 | Communicate what he/she will do? | 83.1 | 9.3 | 4.5 | 3.2 | 86.9 | 6.4 | 3.5 | 3.3 | 0.006* | ||
6 | Ask if you have any questions? | 90.9 | 6.2 | 2.9 | 92.4 | 4.9 | 2.7 | 0.230 | ||||
7 | Respond with immediacy? | 92.5 | 5.4 | 2.2 | 94.6 | 3.4 | 2.1 | 0.015* | ||||
8 | Listens to your questions and concerns? | 94.8 | 4.0 | 1.1 | 96.6 | 2.4 | 1.0 | 0.022* | ||||
9 | Ensure you received the best care? | 92.4 | 6.3 | 1.3 | 95.2 | 3.9 | 1.0 | 0.003* | ||||
10 | Communicates well with you? | 92.3 | 6.3 | 1.5 | 94.8 | 4.2 | 0.9 | 0.009* | ||||
11 | Is respectful and considerate? | 96.5 | 2.7 | 0.8 | 98.0 | 1.6 | 0.4 | 0.025* | ||||
12 | Sensitive to your physical and emotional needs? | 90.4 | 6.9 | 2.7 | 94.5 | 3.9 | 1.6 | 0.000* | ||||
13 | Uses language that you can understand? | 96.5 | 2.8 | 0.7 | 96.9 | 2.8 | 0.4 | 0.431 | ||||
14 | Educated you/family about condition/care? | 84.0 | 8.6 | 7.4 | 86.6 | 7.4 | 6.0 | 0.111 | ||||
15 | Exit courteously? | 89.7 | 6.6 | 3.6 | 91.7 | 5.2 | 3.1 | 0.130 | ||||
16 | Communication skills? | 75.6 | 19.5 | 3.6 | 0.7 | 0.7 | 78.6 | 16.9 | 3.9 | 0.4 | 0.3 | 0.077 |
17 | Medical expertise? | 79.5 | 15.9 | 3.5 | 0.7 | 0.4 | 80.0 | 16.5 | 2.7 | 0.5 | 0.2 | 0.398 |
18 | Quality medical care? | 82.5 | 13.0 | 2.8 | 0.8 | 0.9 | 82.6 | 13.6 | 2.7 | 0.7 | 0.5 | 0.754 |
ARC surveyed for 10 weeks prior to our reported sample (OctoberDecember) and 22 weeks prior to EHR implementation total (OctoberMarch). To rule out resident improvement due to the confounding effects of time and experience, we compared the data from the first 11 weeks (OctoberDecember) to the second 11 weeks (DecemberMarch) prior to EHR implementation. [2] analysis revealed that only 6 of the 16 questions showed improvement in this period, and just 1 of these improvements (question 3) was significant. Furthermore, 10 of the 16 questions actually received worse responses in this period, and 2 of these declines (questions 9 and 12) were significant (Table 3).
Question | First 11 Weeks' Responses (n=897) | Second 11 Weeks' Responses (n=1,338) | 2 Significance | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | |||
| ||||||||||||
3 | Address you by preferred name? | 87.1 | 6.4 | 4.6 | 2.0 | 90.7 | 3.7 | 2.3 | 3.4 | 0.000* | ||
4 | Introduce himself/herself? | 87.7 | 6.9 | 4.1 | 1.2 | 88.3 | 6.1 | 3.3 | 2.3 | 0.174 | ||
5 | Communicate what he/she will do? | 82.9 | 8.2 | 5.1 | 3.7 | 83.2 | 9.1 | 4.3 | 3.4 | 0.698 | ||
6 | Ask if you have any questions? | 92.0 | 5.9 | 2.1 | 90.7 | 6.1 | 3.1 | 0.336 | ||||
7 | Respond with immediacy? | 91.2 | 6.6 | 2.2 | 92.8 | 5.2 | 2.1 | 0.353 | ||||
8 | Listens to your questions and concerns? | 94.6 | 3.9 | 1.4 | 95.0 | 3.8 | 1.2 | 0.868 | ||||
9 | Ensure you received the best care? | 94.4 | 5.0 | 0.6 | 92.1 | 6.5 | 1.4 | 0.049* | ||||
10 | Communicates well with you? | 93.3 | 5.9 | 0.8 | 92.4 | 5.9 | 1.7 | 0.167 | ||||
11 | Is respectful and considerate? | 97.3 | 2.1 | 0.6 | 96.4 | 2.7 | 0.9 | 0.455 | ||||
12 | Sensitive to your physical and emotional needs? | 93.2 | 5.5 | 1.3 | 90.3 | 6.9 | 2.8 | 0.022* | ||||
13 | Uses language that you can understand? | 96.2 | 3.5 | 0.3 | 96.4 | 2.8 | 0.7 | 0.327 | ||||
14 | Educated you/family about condition/care? | 85.7 | 8.9 | 5.4 | 83.8 | 8.7 | 7.5 | 0.141 | ||||
15 | Exit courteously? | 89.7 | 7.8 | 2.5 | 89.6 | 6.6 | 3.8 | 0.124 | ||||
16 | Communication skills? | 78.7 | 17.1 | 2.9 | 0.7 | 0.7 | 75.9 | 19 | 3.6 | 0.7 | 0.8 | 0.633 |
17 | Medical expertise? | 82.3 | 13.3 | 3.9 | 0.1 | 0.4 | 78.9 | 16.1 | 3.6 | 0.8 | 0.5 | 0.062 |
18 | Quality medical care? | 82.7 | 13.5 | 2.6 | 0.8 | 0.4 | 82.1 | 13.0 | 3.0 | 0.9 | 1.0 | 0.456 |
DISCUSSION
The adoption of EHRs has been fueled by their suggested improvement on healthcare quality and spending.[15, 16, 17, 18] Few studies have investigated the patient experience and its relation to EHR implementation. Furthermore, these studies have not yielded consistent results,[19, 20, 21, 22, 23, 25] raising uncertainty about the effects of EHRs on the patient experience. Possible barriers that may contribute to the scarcity of literature include the relatively recent large‐scale implementation of EHRs and a lack of programs in place to collect extensive data on the physician‐patient relationship.
In a field with increasing demands on patient‐centered care, we need to find ways to preserve and foster the patient‐physician relationship. Given that improvements in the delivery of compassionate care can positively impact clinical outcomes, the likelihood of medical malpractice lawsuits, and patient satisfaction,[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] the need to improve the patient‐provider relationship is tremendously important. Following EHR implementation, residents were perceived to provide more frequent diagnostics information including the nature, impact, and treatment of conditions. Furthermore, they were perceived to provide significantly better communication quality following implementation, through care monitoring, respectful and sensitive communication, and enhanced patient and family education. Residents were also perceived as being more professional following implementation, as indicated by positive assessments of several interpersonal communication questions. These results suggest that implementing an EHR may be an effective way to meet these increasing demands on patient‐centered care.
Limitations to this study should be considered. The ARC Medical Program is primarily used as an education tool for resident physicians, so all of our data are specific to resident physicians. It would be interesting and important to observe if EHRs affect nurse or attending‐patient interactions. Furthermore, we did not have access to any patient demographic or clinical data. However, we did not anticipate a significant change in the patient population that would alter the survey responses during this 6‐month period. Patients were required to recognize their resident on a photo card presented to them by the surveyor, which likely favored patients with strong feelings toward their residents. Due to this, our population sampled may not be indicative of the entire patient population. All findings were simply correlational. Due to the nature of our data collection, we were unable to control for many confounding variables, thus causal conclusions are difficult to draw from these results.
There are a few important trends to note. No question on the ARC survey received lower scores following implementation of the EHR. Furthermore, 9 of the 16 questions under investigation received significantly higher scores following implementation. The residents largely received positive responses both before and after EHR implementation, so despite the statistically significant improvements, the absolute differences are relatively small. These significant differences were likely not due to the residents improving through time and experience. We observed relatively insignificant and nonuniform changes in responses between the two 11‐week periods prior to implementation.
One possible reason for the observed significant improvements is that EHRs may increase patient involvement in the healthcare setting,[28] and this collaboration might improve resident‐patient communication.[29] Providing patients with an interactive tablet that details their care has been suggested to increase patient satisfaction and comfort in an inpatient setting.[30] In this light, the EHR can be used as a tool to increase these interactions by inviting patients to view the computer screen and electronic charts during data entry, which allows them to have a participatory role in their care and decision‐making process.[31] Although the reasons for our observed improvements are unclear, they are noteworthy and warrant further study. The notion that implementing an EHR might enhance provider‐patient communication is a powerful concept.
This study not only suggests the improvement of resident‐patient communication due to the implementation of an EHR, but it also reveals the value of the ARC Medical Program for studying the patient experience. The controlled, prolonged, and efficient nature of the ARC Medical Program's data collection was ideal for comparing a change in resident‐patient communication before and after EHR implementation at UCLA Health. ARC and UCLA Health's EHR can serve as a model for residency programs nationwide. Future studies can assess the changes of the patient‐provider interaction for any significant event, as demonstrated by this study and its investigation of the implementation of UCLA Health's EHR.
Acknowledgements
The authors acknowledge the UCLA Health Office of the Patient Experience and UCLA Health for allowing for this unique partnership with the David Geffen School of Medicine to improve physician‐patient communication. Furthermore, the authors thank the student volunteers and interns of the ARC Medical program for their commitment and effort to optimize the patient experience. Additionally, the authors thank the program directors of the David Geffen School of Medicine residency physician training programs for their outstanding support of the ARC Medical Program.
Disclosures: C.W.M. and A.A.N. contributed equally to this manuscript. C.W.M. and A.A.N. collected data, performed statistical analyses, and drafted and revised the manuscript. A.A.N. and V.N.M. oversaw the program. N.A. provided faculty support and revised the manuscript. The authors report no conflicts of interest.
Delivering patient‐centered care is at the core of ensuring patient engagement and active participation that will lead to positive outcomes. Physician‐patient interaction has become an area of increasing focus in an effort to optimize the patient experience. Positive patient‐provider communication has been shown to increase satisfaction,[1, 2, 3, 4] decrease the likelihood of medical malpractice lawsuits,[5, 6, 7, 8] and improve clinical outcomes.[9, 10, 11, 12, 13] Specifically, a decrease in psychological symptoms such as anxiety and stress, as well as perception of physical symptoms have been correlated with improved communication.[9, 12] Furthermore, objective health outcomes, such as improvement in hypertension and glycosylated hemoglobin, have also been correlated with improved physician‐patient communication.[10, 11, 13] The multifaceted effects of improved communication are impactful to both the patient and the physician; therefore, it is essential that we understand how to optimize this interaction.
Patient‐centered care is a critical objective for many high‐quality healthcare systems.[14] In recent years, the use of electronic health records (EHRs) has been increasingly adopted by healthcare systems nationally in an effort to improve the quality of care delivered. The positive benefits of EHRs on the facilitation of healthcare, including consolidation of information, reduction of medical errors, easily transferable medical records,[15, 16, 17] as well as their impact on healthcare spending,[18] are well‐documented and have been emphasized as reasons for adoption of EHRs by the Patient Protection and Affordable Care Act. However, EHR implementation has encountered some resistance regarding its impact on the patient experience.
As EHR implementation is exponentially increasing in the United States, there is limited literature on the consequences of this technology.[19] Barriers reported during EHR implementation include the limitations of standardization, attitudinal and organizational constraints, behavior of individuals, and resistance to change.[20] Additionally, poor EHR system design and improper use can cause errors that jeopardize the integrity of the information inputted, leading to inaccuracies that endanger patient safety or decrease the quality of care.[21]
One of the limitations of EHRs has been the reported negative impact on patient‐centered care by decreasing communication during the hospital visit.[22] Although the EHR has enhanced internal provider communication,[23] the literature suggests a lack of focus on the patient sitting in front of the provider. Due to perceived physician distraction during the visit, patients report decreased satisfaction when physicians spend a considerable period of time during the visit at the computer.[22] Furthermore, the average hospital length of stay has been increased due to the use of EHRs.[22]
Although some physicians report that EHR use impedes patient workflow and decreases time spent with patients,[23] previous literature suggests that EHRs decrease the time to develop a synopsis and improve communication efficiency.[19] Some studies have also noted an increase in the ability for medical history retrieval and analysis, which will ultimately increase the quality of care provided to the patient.[24] Physicians who use the EHR adopted a more active role in clarifying information, encouraging questions, and ensuring completeness at the end of a visit.[25] Finally, studies show that the EHR has a positive return on investment from savings in drug expenditures, radiology tests, and billing errors.[26] Given the significant financial and time commitment that health systems and physicians must invest to implement EHRs, it is vital that we understand the multifaceted effects of EHRs on the field of medicine.
METHODS
The purpose of this study was to assess the physician‐patient communication patterns associated with the implementation and use of an EHR in a hospital setting.
ARC Medical Program
In 2006, the Office of Patient Experience at University of California, Los Angeles (UCLA) Health, in conjunction with the David Geffen School of Medicine at UCLA, launched the Assessing Residents' CI‐CARE (ARC) Medical Program. CI‐CARE is a protocol that emphasizes for medical staff and providers to Connect with their patients, Introduce themselves, Communicate their purpose, Ask or anticipate patients' needs, Respond to questions with immediacy, and to Exit courteously. CI‐CARE represents the standards for staff and providers in any encounter with patients or their families. The goals of the ARC Medical Program are to monitor housestaff performance and patient satisfaction while improving trainee education through timely and patient‐centered feedback. The ARC Medical Program's survey has served as an important tool to assess and improve physician professionalism and interpersonal skills and communication, 2 of the Accreditation Council for Graduate Medical Education core competencies.[27]
The ARC program is a unique and innovative volunteer program that provides timely and patient‐centered feedback from trainees' daily encounters with hospitalized patients. The ARC Medical Program has an established infrastructure to conduct evaluations on a system‐wide scale, including 9 departments within UCLA Health. ARC volunteers interview patients using a CI‐CARE Questionnaire (ARC survey) to assess their resident physician's communication patterns. The ARC Survey targets specific areas of the residents' care as outlined by the CI‐CARE Program of UCLA Health.
As part of UCLA Health's mission to ensure the highest level of patient‐centered care, the CI‐CARE standards were introduced in 2006, followed by implementation of the EHR system. Given the lack of previous research and conflicting results on the impact of EHRs on the patient experience, this article uses ARC data to assess whether or not there was a significant difference following implementation of the EHR on March 2, 2013.
The materials and methods of this study are largely based on those of a previous study, also published by the ARC Medical Program.[27]
CI‐CARE QuestionnaireARC Survey
The CI‐CARE Questionnaire is a standardized audit tool consisting of a total of 20 questions used by the facilitators who work with ARC. There are a total of 20 items on the ARC survey, including 18 multiple‐choice, polar, and Likert‐scale questions, and 2 free‐response questions that assess the patients' overall perception of their resident physician and their hospital experience. Questions 1 and 2 pertain to the recognition of attending physicians and resident physicians, respectively. Questions 3, 4, 6, 7, and 8 are Likert‐scalebased questions assessing the residents' professionalism. Questions 9 through 14 are Likert‐scalebased items included to evaluate the quality of communication between patient and provider. We categorized questions 5 and 15 as relating to diagnostics.[27] In 2012, ARC implemented 3 additional questions that assessed residents' communication skills (question 16), level of medical expertise (question 17), and quality of medical care (question 18). We chose to examine the CI‐CARE Questionnaire instead of a standard survey such as the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS), because it examines the physician‐patient interaction in more detail. The survey can be reviewed in Figure 1.

Interview Procedure
The ARC Medical Program is comprised of 47 premedical UCLA students who conducted the surveys. New surveyors were trained by the senior surveyors for a minimum of 12 hours before conducting a survey independently. All surveyors were evaluated biyearly by their peers and the program director for quality assurance and to ensure uniform procedures. The volunteers' surveying experience on December 1, 2012 was as follows: (=10 months [237 months], =10 months).
Prior to the interview, the surveyor introduces himself or herself, the purpose and length of the interview, and that the patient's anonymous participation is optional and confidential. Upon receiving verbal consent from the patient, the surveyor presents a picture card to the patient and asks him or her to identify a resident who was on rotation who treated them. If the patient is able to identify the resident who treated them, the surveyor asks each question and records each response verbatim. The surveyors are trained not to probe for responses, and to ensure that the patients answer in accordance with the possible responses. Although it has not been formally studied, the inter‐rater reliability of the survey is likely to be very high due to the verbatim requirements.
Population Interviewed
A total of 3414 surveys were collected from patients seen in the departments of internal medicine, family medicine, pediatrics, general surgery, head and neck surgery, orthopedic surgery, neurosurgery, neurology, and obstetrics and gynecology in this retrospective cohort study. Exclusion criteria included patients who were not awake, were not conscious, could not confidently identify a resident, or stated that they were not able to confidently complete the survey.
Data Analysis
The researchers reviewed and evaluated all data gathered using standard protocols. Statistical comparisons were made using [2] tests. All quantitative analyses were performed in Excel 2010 (Microsoft Corp., Redmond, WA) and SPSS version 21 (IBM Corp., Armonk, NY).
Institutional Review Board
This project received an exemption by the UCLA institutional review board.
RESULTS
There were a total of 3414 interviews conducted and completed from December 1, 2012 to May 30, 2013. Altogether, 1567 surveys were collected 3 months prior to EHR implementation (DecemberFebruary), and 1847 surveys were collected 3 months following implementation (MarchMay). The survey breakdown is summarized in Table 1.
Department | Pre (N) | Post (N) | Total (N) |
---|---|---|---|
| |||
Family medicine | 65 | 128 | 193 |
General surgery | 226 | 246 | 472 |
Head and neck surgery | 43 | 65 | 108 |
Internal medicine | 439 | 369 | 808 |
Neurology | 81 | 98 | 179 |
Neurosurgery | 99 | 54 | 153 |
OB/GYN | 173 | 199 | 372 |
Orthopedic surgery | 117 | 128 | 245 |
Pediatrics | 324 | 563 | 887 |
Totals | 1,567 | 1,850 | 3,417 |
2 analysis revealed that the residents received significantly better feedback in the 3 months following EHR implementation, compared to the 3 months prior to implementation on questions 3, addressing the patient by their preferred name; 4, introducing themselves and their role; 5, communicating what they will do, how long it will take, and how it will impact the patient; 7, responding to the patient's requests and questions with immediacy; 8, listening to the patient's questions and concerns; 9, doing their utmost to ensure the patient receives the best care; 10, communicating well with the patient; 11, being respectful and considerate; and 12, being sensitive to the patient's physical and emotional needs (P<0.05) (Table 2).
Question | Pre‐EHR % Responses (n=1,567) | Post‐EHR % Responses (n=1,850) | 2 Significance | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | |||
| ||||||||||||
3 | Address you by preferred name? | 90.1 | 3.8 | 2.7 | 3.4 | 91.5 | 3.6 | 1.3 | 3.6 | 0.032* | ||
4 | Introduce himself/herself? | 88.3 | 6.4 | 3.2 | 2.1 | 93.1 | 3.6 | 1.8 | 1.5 | 0.000* | ||
5 | Communicate what he/she will do? | 83.1 | 9.3 | 4.5 | 3.2 | 86.9 | 6.4 | 3.5 | 3.3 | 0.006* | ||
6 | Ask if you have any questions? | 90.9 | 6.2 | 2.9 | 92.4 | 4.9 | 2.7 | 0.230 | ||||
7 | Respond with immediacy? | 92.5 | 5.4 | 2.2 | 94.6 | 3.4 | 2.1 | 0.015* | ||||
8 | Listens to your questions and concerns? | 94.8 | 4.0 | 1.1 | 96.6 | 2.4 | 1.0 | 0.022* | ||||
9 | Ensure you received the best care? | 92.4 | 6.3 | 1.3 | 95.2 | 3.9 | 1.0 | 0.003* | ||||
10 | Communicates well with you? | 92.3 | 6.3 | 1.5 | 94.8 | 4.2 | 0.9 | 0.009* | ||||
11 | Is respectful and considerate? | 96.5 | 2.7 | 0.8 | 98.0 | 1.6 | 0.4 | 0.025* | ||||
12 | Sensitive to your physical and emotional needs? | 90.4 | 6.9 | 2.7 | 94.5 | 3.9 | 1.6 | 0.000* | ||||
13 | Uses language that you can understand? | 96.5 | 2.8 | 0.7 | 96.9 | 2.8 | 0.4 | 0.431 | ||||
14 | Educated you/family about condition/care? | 84.0 | 8.6 | 7.4 | 86.6 | 7.4 | 6.0 | 0.111 | ||||
15 | Exit courteously? | 89.7 | 6.6 | 3.6 | 91.7 | 5.2 | 3.1 | 0.130 | ||||
16 | Communication skills? | 75.6 | 19.5 | 3.6 | 0.7 | 0.7 | 78.6 | 16.9 | 3.9 | 0.4 | 0.3 | 0.077 |
17 | Medical expertise? | 79.5 | 15.9 | 3.5 | 0.7 | 0.4 | 80.0 | 16.5 | 2.7 | 0.5 | 0.2 | 0.398 |
18 | Quality medical care? | 82.5 | 13.0 | 2.8 | 0.8 | 0.9 | 82.6 | 13.6 | 2.7 | 0.7 | 0.5 | 0.754 |
ARC surveyed for 10 weeks prior to our reported sample (OctoberDecember) and 22 weeks prior to EHR implementation total (OctoberMarch). To rule out resident improvement due to the confounding effects of time and experience, we compared the data from the first 11 weeks (OctoberDecember) to the second 11 weeks (DecemberMarch) prior to EHR implementation. [2] analysis revealed that only 6 of the 16 questions showed improvement in this period, and just 1 of these improvements (question 3) was significant. Furthermore, 10 of the 16 questions actually received worse responses in this period, and 2 of these declines (questions 9 and 12) were significant (Table 3).
Question | First 11 Weeks' Responses (n=897) | Second 11 Weeks' Responses (n=1,338) | 2 Significance | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 1 | 2 | 3 | 4 | 5 | |||
| ||||||||||||
3 | Address you by preferred name? | 87.1 | 6.4 | 4.6 | 2.0 | 90.7 | 3.7 | 2.3 | 3.4 | 0.000* | ||
4 | Introduce himself/herself? | 87.7 | 6.9 | 4.1 | 1.2 | 88.3 | 6.1 | 3.3 | 2.3 | 0.174 | ||
5 | Communicate what he/she will do? | 82.9 | 8.2 | 5.1 | 3.7 | 83.2 | 9.1 | 4.3 | 3.4 | 0.698 | ||
6 | Ask if you have any questions? | 92.0 | 5.9 | 2.1 | 90.7 | 6.1 | 3.1 | 0.336 | ||||
7 | Respond with immediacy? | 91.2 | 6.6 | 2.2 | 92.8 | 5.2 | 2.1 | 0.353 | ||||
8 | Listens to your questions and concerns? | 94.6 | 3.9 | 1.4 | 95.0 | 3.8 | 1.2 | 0.868 | ||||
9 | Ensure you received the best care? | 94.4 | 5.0 | 0.6 | 92.1 | 6.5 | 1.4 | 0.049* | ||||
10 | Communicates well with you? | 93.3 | 5.9 | 0.8 | 92.4 | 5.9 | 1.7 | 0.167 | ||||
11 | Is respectful and considerate? | 97.3 | 2.1 | 0.6 | 96.4 | 2.7 | 0.9 | 0.455 | ||||
12 | Sensitive to your physical and emotional needs? | 93.2 | 5.5 | 1.3 | 90.3 | 6.9 | 2.8 | 0.022* | ||||
13 | Uses language that you can understand? | 96.2 | 3.5 | 0.3 | 96.4 | 2.8 | 0.7 | 0.327 | ||||
14 | Educated you/family about condition/care? | 85.7 | 8.9 | 5.4 | 83.8 | 8.7 | 7.5 | 0.141 | ||||
15 | Exit courteously? | 89.7 | 7.8 | 2.5 | 89.6 | 6.6 | 3.8 | 0.124 | ||||
16 | Communication skills? | 78.7 | 17.1 | 2.9 | 0.7 | 0.7 | 75.9 | 19 | 3.6 | 0.7 | 0.8 | 0.633 |
17 | Medical expertise? | 82.3 | 13.3 | 3.9 | 0.1 | 0.4 | 78.9 | 16.1 | 3.6 | 0.8 | 0.5 | 0.062 |
18 | Quality medical care? | 82.7 | 13.5 | 2.6 | 0.8 | 0.4 | 82.1 | 13.0 | 3.0 | 0.9 | 1.0 | 0.456 |
DISCUSSION
The adoption of EHRs has been fueled by their suggested improvement on healthcare quality and spending.[15, 16, 17, 18] Few studies have investigated the patient experience and its relation to EHR implementation. Furthermore, these studies have not yielded consistent results,[19, 20, 21, 22, 23, 25] raising uncertainty about the effects of EHRs on the patient experience. Possible barriers that may contribute to the scarcity of literature include the relatively recent large‐scale implementation of EHRs and a lack of programs in place to collect extensive data on the physician‐patient relationship.
In a field with increasing demands on patient‐centered care, we need to find ways to preserve and foster the patient‐physician relationship. Given that improvements in the delivery of compassionate care can positively impact clinical outcomes, the likelihood of medical malpractice lawsuits, and patient satisfaction,[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13] the need to improve the patient‐provider relationship is tremendously important. Following EHR implementation, residents were perceived to provide more frequent diagnostics information including the nature, impact, and treatment of conditions. Furthermore, they were perceived to provide significantly better communication quality following implementation, through care monitoring, respectful and sensitive communication, and enhanced patient and family education. Residents were also perceived as being more professional following implementation, as indicated by positive assessments of several interpersonal communication questions. These results suggest that implementing an EHR may be an effective way to meet these increasing demands on patient‐centered care.
Limitations to this study should be considered. The ARC Medical Program is primarily used as an education tool for resident physicians, so all of our data are specific to resident physicians. It would be interesting and important to observe if EHRs affect nurse or attending‐patient interactions. Furthermore, we did not have access to any patient demographic or clinical data. However, we did not anticipate a significant change in the patient population that would alter the survey responses during this 6‐month period. Patients were required to recognize their resident on a photo card presented to them by the surveyor, which likely favored patients with strong feelings toward their residents. Due to this, our population sampled may not be indicative of the entire patient population. All findings were simply correlational. Due to the nature of our data collection, we were unable to control for many confounding variables, thus causal conclusions are difficult to draw from these results.
There are a few important trends to note. No question on the ARC survey received lower scores following implementation of the EHR. Furthermore, 9 of the 16 questions under investigation received significantly higher scores following implementation. The residents largely received positive responses both before and after EHR implementation, so despite the statistically significant improvements, the absolute differences are relatively small. These significant differences were likely not due to the residents improving through time and experience. We observed relatively insignificant and nonuniform changes in responses between the two 11‐week periods prior to implementation.
One possible reason for the observed significant improvements is that EHRs may increase patient involvement in the healthcare setting,[28] and this collaboration might improve resident‐patient communication.[29] Providing patients with an interactive tablet that details their care has been suggested to increase patient satisfaction and comfort in an inpatient setting.[30] In this light, the EHR can be used as a tool to increase these interactions by inviting patients to view the computer screen and electronic charts during data entry, which allows them to have a participatory role in their care and decision‐making process.[31] Although the reasons for our observed improvements are unclear, they are noteworthy and warrant further study. The notion that implementing an EHR might enhance provider‐patient communication is a powerful concept.
This study not only suggests the improvement of resident‐patient communication due to the implementation of an EHR, but it also reveals the value of the ARC Medical Program for studying the patient experience. The controlled, prolonged, and efficient nature of the ARC Medical Program's data collection was ideal for comparing a change in resident‐patient communication before and after EHR implementation at UCLA Health. ARC and UCLA Health's EHR can serve as a model for residency programs nationwide. Future studies can assess the changes of the patient‐provider interaction for any significant event, as demonstrated by this study and its investigation of the implementation of UCLA Health's EHR.
Acknowledgements
The authors acknowledge the UCLA Health Office of the Patient Experience and UCLA Health for allowing for this unique partnership with the David Geffen School of Medicine to improve physician‐patient communication. Furthermore, the authors thank the student volunteers and interns of the ARC Medical program for their commitment and effort to optimize the patient experience. Additionally, the authors thank the program directors of the David Geffen School of Medicine residency physician training programs for their outstanding support of the ARC Medical Program.
Disclosures: C.W.M. and A.A.N. contributed equally to this manuscript. C.W.M. and A.A.N. collected data, performed statistical analyses, and drafted and revised the manuscript. A.A.N. and V.N.M. oversaw the program. N.A. provided faculty support and revised the manuscript. The authors report no conflicts of interest.
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- Promoting patient‐centred care through trainee feedback: assessing residents' C‐I‐CARE (ARC) program. BMJ Qual Saf. 2012;21(3):225–233. , , , .
- Electronic health records?: can we maximize their benefits and minimize their risks? Acad Med. 2012;87(11):1456–1457. .
- Let the left hand know what the right is doing: a vision for care coordination and electronic health records. J Am Med Inform Assoc. 2014;21(1):13–16. , .
- A tablet computer application for patients to participate in their hospital care. AMIA Annu Symp Proc. 2011;2011:1428–1435. , , , et al.
- Enhancing patient‐centered communication and collaboration by using the electronic health record in the examination room. J Am Med Assoc. 2013;309(22):2327–2328. , .
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- Why do people sue doctors? A study of patients and relatives. Lancet. 1994;343:1609–1613. , , .
- Reducing legal risk by practicing patient‐centered medicine. Arch Intern Med. 2002;162(11):1217–1219. , , .
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- Medical malpractice: the effect of doctor‐patient relations on medical patient perceptions and malpractice intentions. West J Med. 2000;173(4):244–250. , , .
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- Patients' participation in medical care: effects on blood sugar control and quality of life in diabetes. J Intern Med. 1988;3:448–457. , , , , .
- Assessing the effects of physician‐patient interactions on the outcomes of chronic disease. Med Care. 1989;27(3 suppl):S110–S127. , , .
- Expanding patient involvement in care. Ann Intern Med. 1985;102:520–528. , , .
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- Interoperability: the key to the future health care system. Health Aff. 2005;5(21):19–21. .
- Physicians' use of electronic medical records: barriers and solutions. Health Aff. 2004;23(2):116–126. , .
- Do hospitals with electronic medical records (EMRs) provide higher quality care?: an examination of three clinical conditions. Med Care Res Rev. 2008;65(4):496–513. , .
- Can electronic medical record systems transform health care? Potential health benefits, savings, and costs. Health Aff. 2005;24(5):1103–1117. , , , et al.
- An electronic medical record in primary care: impact on satisfaction, work efficiency and clinic processes. AMIA Annu Symp.2006:394–398. , , , .
- Barriers to implement electronic health records (EHRs). Mater Sociomed. 2013;25(3):213–215. , .
- Impact of electronic health record systems on information integrity: quality and safety implications. Perspect Health Inf Manag. 2013;10:1c.eCollection 2013. .
- Electronic medical record use and physician–patient communication: an observational study of Israeli primary care encounters. Patient Educ Couns. 2006;61:134–141. , , , , .
- EHR implementation in a new clinic: a case study of clinician perceptions. J Med Syst. 2013;37(9955):1–6. , , , et al.
- Accuracy and speed of electronic health record versus paper‐based ophthalmic documentation strategies. Am J Ophthalmol. 2013;156(1):165–172. , , .
- The use of electronic medical records communication patterns in outpatient encounters. J Am Informatics Assoc. 2001:610–616. , , .
- Cost‐benefit analysis of electronic medical record system at a tertiary care hospital. Healthc Inform Res. 2013;19(3):205–214. , , .
- Promoting patient‐centred care through trainee feedback: assessing residents' C‐I‐CARE (ARC) program. BMJ Qual Saf. 2012;21(3):225–233. , , , .
- Electronic health records?: can we maximize their benefits and minimize their risks? Acad Med. 2012;87(11):1456–1457. .
- Let the left hand know what the right is doing: a vision for care coordination and electronic health records. J Am Med Inform Assoc. 2014;21(1):13–16. , .
- A tablet computer application for patients to participate in their hospital care. AMIA Annu Symp Proc. 2011;2011:1428–1435. , , , et al.
- Enhancing patient‐centered communication and collaboration by using the electronic health record in the examination room. J Am Med Assoc. 2013;309(22):2327–2328. , .
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Current and novel therapeutic approaches in myelodysplastic syndromes
Myelodysplastic syndromes (MDS) are a heterogeneous group of hematologic neoplasms with an annual incidence of 4.1 cases per 100,000 Americans. Patients with MDS suffer from chronic cytopenias that may lead to recurrent transfusions, infections, and increased risk for bleeding. They are also at risk for progression to acute myeloid leukemia. Allogeneic hematopoietic cell transplantation is the only potentially curative treatment for MDS, although 3 drugs have been approved by the US Food and Drug Administration for its treatment: lenalidomide, 5-azacitidine, and decitabine.
Click on the PDF icon at the top of this introduction to read the full article.
Myelodysplastic syndromes (MDS) are a heterogeneous group of hematologic neoplasms with an annual incidence of 4.1 cases per 100,000 Americans. Patients with MDS suffer from chronic cytopenias that may lead to recurrent transfusions, infections, and increased risk for bleeding. They are also at risk for progression to acute myeloid leukemia. Allogeneic hematopoietic cell transplantation is the only potentially curative treatment for MDS, although 3 drugs have been approved by the US Food and Drug Administration for its treatment: lenalidomide, 5-azacitidine, and decitabine.
Click on the PDF icon at the top of this introduction to read the full article.
Myelodysplastic syndromes (MDS) are a heterogeneous group of hematologic neoplasms with an annual incidence of 4.1 cases per 100,000 Americans. Patients with MDS suffer from chronic cytopenias that may lead to recurrent transfusions, infections, and increased risk for bleeding. They are also at risk for progression to acute myeloid leukemia. Allogeneic hematopoietic cell transplantation is the only potentially curative treatment for MDS, although 3 drugs have been approved by the US Food and Drug Administration for its treatment: lenalidomide, 5-azacitidine, and decitabine.
Click on the PDF icon at the top of this introduction to read the full article.
Delirium in the hospital: Emphasis on the management of geriatric patients
Although delirium has many descriptive terms (Table 1), a common unifying term is “acute global cognitive dysfunction,” now recognized as delirium; a consensus supported by DSM-51 and ICD-102 (Table 2). According to DSM-5, the essential feature is a disturbance of attention or awareness that is accompanied by a change in baseline cognition that cannot be explained by another preexisting, established, or evolving neurocognitive disorder (the newly named DSM-5 entity for dementia syndromes).1 Because delirium affects the cortex diffusely, psychiatric symptoms can include cognitive, mood, anxiety, or psychotic symptoms. Because many systemic illnesses can induce delirium, the differential diagnosis spans all organ systems.
Three subtypes
Delirium can be classified, based on symptoms,3,4 into 3 subtypes: hyperactive-hyperalert, hypoactive-hypoalert, and mixed delirium. Hyperactive patients present with restlessness and agitation. Hypoactive patients are lethargic, confused, slow to respond to questions, and often appear depressed. The differential prognostic significance of these subtypes has been examined in the literature, with conflicting results. Rabinowitz5 reported that hypoactive delirium has the worst prognosis, while Marcantonio et al6 indicated that the hyperactive subtype is associated with the highest mortality rate. Mixed delirium, with periods of both hyperactivity and hypoactivity, is the most common type of delirium.7
A prodromal phase, characterized by anxiety, frequent requests for nursing and medical assistance, decreased attention, restlessness, vivid dreams, disorientation immediately after awakening, and hallucinations, can occur before an episode of full-spectrum delirium; this prodromal state often is identified retrospectively —after the patient is in an episode of delirium.8,9
Evidence-based guidelines aim to improve recognition and clinical management.10-13 Disruptive behavior is the main reason for psychiatric referral in delirium.14,15 Delayed psychiatric consultation because of non-recognition of delirium is related to variables such as older age; history of a pre-existing, comorbid neurocognitive disorder; and the clinical appearance of hypoactive delirium.14
The case of Mr. D (Box),16 illustrates how the emergence of antipsychotic-associated neuroleptic malignant syndrome (NMS) can complicate antipsychotic treatment of delirium in a geriatric medical patient, although delirium also is a common presentation in NMS.17 Delirium developed after an increase in carbidopa/levodopa, which has central dopaminergic effects that can precipitate delirium, particularly in a geriatric patient with preexisting comorbid neurocognitive disorder. Further complicating Mr. D’s delirium presentation was the development of NMS, which had a multifactorial causation, such as the use of dopamine antagonists (ie, quetiapine, metoclopramide), and an abrupt decrease of a dopaminergic agent (ie, carbidopa/levodopa), all inducing a central dopamine relative hypoactivity.
Epidemiology
Delirium is more common in older patients,15 and is seen in 30% to 40% of hospitalized geriatric patients.18 Delirium in older patients, compared with other adults, is associated with more severe cognitive impairment.19 It is common among geriatric surgical patients (15% to 62%)20 with a peak 2 to 5 days postoperatively for hip fracture,21 and often is seen in ICU patients (70% to 87%).20 However, Spronk et al22 found that delirium is significantly under-recognized in the ICU. Nearly 90% of terminally ill patients become delirious before death.23 Terminal delirium often is unrecognized and can interfere with assessment of other clinical problems.24 A preexisting history of comorbid neurocognitive disorder was evident in as many as two-thirds of delirium cases.25
Pathophysiology and risk factors
The pathophysiology of delirium has been characterized as an imbalance of CNS metabolism, including decreased blood flow in various regions of the brain that may normalize once delirium resolves.26 Studies describe the simultaneous decrease of cholinergic transmission and dopaminergic excess.27,28 Predisposing and precipitating factors for delirium that are of particular importance in geriatric patients include:
• advanced age
• CNS disease
• infection
• cognitive impairment
• male sex
• poor nutrition
• dehydration and other metabolic abnormalities
• cardiovascular events
• substance use
• medication
• sensory deprivation (eg, impaired vision or hearing)
• sleep deprivation
• low level of physical activity.27,29,30
Table 3 lists the most common delirium-provocative medications.27
Evaluation and psychometric scales
The EEG can be useful in evaluating delirium, especially in clinically ambiguous cases. EEG findings may indicate generalized slowing or dropout of the posterior dominant rhythm, and generalized slow theta and delta waves, findings that are more common in delirium than in other neurocognitive disorders and other psychiatric illnesses. The EEG must be interpreted in the context of the delirium diagnostic workup, because abnormalities seen in other neurocognitive disorders can overlap with those of delirium.31
The EEG referral should specify the clinical suspicion of delirium to help interpret the results. Delirium cases in which the patient’s previous cognitive status is unknown may benefit from EEG evaluation, such as:
• in possible status epilepticus
• when delirium improvement has reached a plateau at a lower level of cognitive function than before onset of delirium
• when the patient is unable or unwilling to complete a psychiatric interview.27
Assessment instruments are available to diagnose and monitor delirium (Table 4). Typically, delirium assessment includes examining levels of arousal, psychomotor activity, cognition (ie, orientation, attention, and memory), and perceptual disturbances.
Psychometrically, a review of Table 4 suggests that validity appeared stable with adequate specificity (64% to 99%) but more variable sensitivity (36% to 100%). These reliability parameters also will be affected by the classification system (ie, DSM vs ICD) and the cut-off score employed.32 Most measures (eg, Confusion Assessment Method [CAM], CAM-ICU) provide an adequate sample of behavioral (ie, level of alertness), motor (ie, psychomotor activity), and cognitive (ie, orientation, attention, memory, and receptive language) function, with the exception of the Global Attentiveness Rating, which is a 2-minute open conversation protocol between physician and patient.
Some measures are stand-alone instruments, such as the Memorial Delirium Assessment Scale, whereas the CAM requires administration of separate cognitive screens, including the Mini-Mental State Examination (MMSE) and Digit Span.33 Instruments to detect delirium in critically ill patients are a more recent development. Wong et al34 reported that the most widely studied tool was the CAM. Obtaining collateral information from family, caregivers, and hospital staff is essential, particularly given the fluctuating nature of delirium.
Management
Prevention. Identify patients at high risk of delirium so that preventive strategies can be employed. Multi-component, nonpharmacotherapeutic interventions are used in clinical settings but few randomized trials have been conducted. The contributing effectiveness of individual components is not well-studied, but most include staff education to increase awareness of delirium. Of 3 multi-component intervention randomized trials, 2 reported a significantly lower incidence of delirium in the intervention group.35-37 Implementation of a multi-component protocol in medical/ surgical units was associated with a significant reduction in use of restraints.38
As in Mr. D’s case, complex drug regimens, particularly for CNS illness, can increase the risk of delirium. Considering the medication profile for patients with complex systemic illness—in particular, minimizing the use anticholinergics and dopamine agonists— may be crucial in preventing delirium.
Prophylactic administration of antipsychotics may reduce the risk of developing postoperative delirium.39 Studies of the use of these agents were characterized by small sample sizes and selected groups of patient populations. Of the 4 randomized studies evaluating prophylactic antipsychotics (vs placebo), 3 found a lower incidence of delirium in the intervention groups.39-41
A study of haloperidol in post-GI surgery patients showed a reduced occurrence of delirium,40 whereas its prophylactic use in patients undergoing hip surgery42 did not reduce the incidence of delirium compared with placebo, but did decrease severity when delirium occurred.42
Risperidone39 in post-cardiac surgery and olanzapine41 perioperatively in patients undergoing total knee or hip replacement have been shown to decrease delirium severity and duration. Targeted prophylaxis with risperidone43 in post-cardiac surgery patients who showed disturbed cognition but did not meet criteria for delirium reduced the number of patients requiring medication, compared with placebo.43
Dexmedetomidine, an α-2 adrenergic receptor agonist, compared with propofol or midazolam in post-cardiac valve surgery patients, resulted in a decreased incidence of delirium but no difference in delirium duration, hospital length of stay, or use of other medications.44 However, other studies have shown that dexmedetomidine reduces ICU length of stay and duration of mechanical ventilation.45
Treatment. Management of hospitalized medically ill geriatric patients with delirium is challenging and requires a comprehensive approach. The first step in delirium management is prompt identification and management of systemic medical disturbances associated with the delirium episode. First-line, nonpharmacotherapeutic strategies for patients with delirium include:
• reorientation
• behavioral interventions (eg, use of clear instructions and frequent eye contact with patients)
• environmental interventions (eg, minimal noise, adequate lighting, and limited room and staff changes)
• avoidance of physical restraints.46
Consider employing family members or hospital staff sitters to stay with the patient and to reassure, reorient, and watch for agitation and other unsafe behaviors (eg, attempted elopement). Psychoeducation for the patient and family on the phenomenology of delirium can be helpful.
The use of drug treatment strategies should be integrated into a comprehensive approach that includes the routine use of nondrug measures.46 Using medications for treating hypoactive delirium, formerly controversial, now has wider acceptance.47,48 A few high-quality randomized trials have been performed.25,49,50
Pharmacotherapy, especially in frail patients, should be initiated at the lowest starting dosage and titrated cautiously to clinical effect and for the shortest period of time necessary. Antipsychotics are preferred agents for treating all subtypes of delirium; haloperidol is widely used.46,51,52 However, antipsychotics, including haloperidol, can be associated with adverse neurologic effects such as extrapyramidal symptoms (EPS) and NMS.
Although reported less frequently than with haloperidol, other agents have been implicated in development of EPS and NMS, including atypical antipsychotics and antiemetic dopamine antagonists, particularly in parkinsonism-prone patients.53 Strategies that can minimize such risks in geriatric inpatients with delirium include oral, rather than parenteral, use of antipsychotics—preferential use of atypical over typical antipsychotics— and lowest effective dosages.54
In controlled trials, atypical antipsychotics for delirium showed efficacy compared with haloperidol.52,55 However, there is no research that demonstrates any advantage of one atypical over another.25
In Mr. D’s case, the most important intervention for managing delirium caused by NMS is to discontinue all dopamine antagonists and treat agitation with judicious doses of a benzodiazepine, with supportive care.17 In cases of sudden discontinuation or a dosage decrease of dopamine agonists, these medications should be resumed or optimized to minimize the risk of NMS-associated rhabdomyolysis and subsequent renal failure.17 Antipsychotics carry an increased risk of stroke and mortality in older patients with established or evolving neurocognitive disorders56,57 and can cause prolongation of the QTc interval.57
Other medications that could be used for delirium include cholinesterase inhibitors58,59 (although larger trials and a systematic review did not support this use60), and 5-HT receptor antagonists,61 such as trazodone. Benzodiazepines, such as lorazepam, are first-line treatment for delirium associated with seizures or withdrawal from alcohol, sedatives, hypnotics, and anxiolytics and for delirium caused by NMS. Be cautious about using benzodiazepines in geriatric patients because of a risk of respiratory depression, falls, sedation, and amnesia.
Geriatric patients with alcoholism and those with malnutrition are prone to thiamine and vitamin B12 deficiencies, which can induce delirium. Laboratory assessment and consideration of supplementation is recommended. Despite high occurrence of delirium in hospitalized older adults with preexisting comorbid neurocognitive disorders, there is no standard care for delirium comorbid with another neurocognitive disorder.62 Clinical practice guidelines for older patients receiving palliative care have been developed63; the goal is to minimize suffering and discomfort in patients in palliative care.64
Post-delirium prophylaxis. Medications for delirium usually can be tapered and discontinued once the episode has resolved and the patient is stable; it is common to discontinue medications when the patient has been symptom-free for 1 week.65 Some patients (eg, with end-stage liver disease, disseminated cancer) are prone to recurrent or to prolonged or chronic delirium. A period of post-recovery treatment with antipsychotics—even indefinite treatment in some cases—should be considered.
Post-delirium debriefing and aftercare. The psychological complications of delirium are distressing for the patient and his (her) caregivers. Psychiatric complications associated with delirium, including acute stress disorder—which might predict posttraumatic stress disorder—have been explored; early recognition and treatment may improve long-term outcomes.66 After recovery from acute delirium, cognitive assessment (eg, MMSE67 or Montreal Cognitive Assessment68) is recommended to validate current cognitive status because patients may have persistent decrement in cognitive function compared with pre-delirium condition, even after recovery from the acute episode.
Post-delirium debriefing may help patients who have recovered from a delirium episode. Patients may fear that their brief period of hallucinations might represent the onset of a chronic-relapsing psychotic disorder. Allow patients to communicate their distress about the delirium episode and give them the opportunity to talk through the experience. Brief them on the possibility that delirium will recur and advise them to seek emergency medical care in case of recurrence. Advise patients to monitor and maintain a normal sleep-wake cycle.
Family members can watch for syndromal recurrence of delirium. They should be encouraged to discuss their reaction to having seen their relative in a delirious state.
Health care systems with integrated electronic medical records should list “delirium, resolved” on the patient’s illness profile or problem list and alert the patient’s primary care provider to the delirium history to avoid future exposure to delirium-provocative medications, and to prompt the provider to assume an active role in post-delirium care, including delirium recurrence surveillance, medication adjustment, risk factor management, and post-recovery cognitive assessment.
Bottom Line
Evaluation of delirium in geriatric patients includes clinical vigilance and screening, differentiating delirium from other neurocognitive disorders, and identifying and treating underlying causes. Perioperative use of antipsychotics may reduce the incidence of delirium, although hospital length of stay generally has not been reduced with prophylaxis. Management interventions include staff education, systematic screening, use of multicomponent interventions, and pharmacologic interventions.
Related Resources
• Downing LJ, Caprio TV, Lyness JM. Geriatric psychiatry review: differential diagnosis and treatment of the 3 D’s - delirium, dementia, and depression. Curr Psychiatry Rep. 2013;15(6):365.
• Brooks PB. Postoperative delirium in elderly patients. Am J Nurs. 2012;112(9):38-49.
Drug Brand Names
Carbidopa/levodopa • Sinemet Midazolam • Versed
Dexmedetomidine • Precedex Olanzapine • Zyprexa
Haloperidol • Haldol Propofol • Diprivan
Lithium • Eskalith, Lithobid Quetiapine • Seroquel
Lorazepam • Ativan Risperidone • Risperdal
Metoclopramide • Reglan Trazodone • Desyrel
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
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55. Han CS, Kim YK. A double-blind trial of risperidone and haloperidol for the treatment of delirium. Psychosomatics. 2004;45(4):297-301.
56. Sink KM, Holden KF, Yaffe K. Pharmacological treatment of neuropsychiatric symptoms of dementia: a review of the evidence. JAMA. 2005;293(5):596-608.
57. Hermann N, Lanctôt KL. Atypical antipsychotics for neuropsychiatric symptoms of dementia: malignant or maligned? Drug Saf. 2006;29(10):833-843.
58. Noyan MA, Elbi H, Aksu H. Donepezil for anticholinergic drug intoxication: a case report. Prog Neuropsychopharmacol Biol Psychiatry. 2003;27(5):885-887.
59. Gleason OC. Donepezil for postoperative delirium. Psychosomatics. 2003;44(5):437-438.
60. Overshott R, Karim S, Burns A. Cholinesterase inhibitors for delirium. Cochrane Database Syst Rev. 2008;(1): CD005317.
61. Davis MP. Does trazodone have a role in palliating symptoms? Support Care Cancer. 2007;15(2):221-224.
62. Fick DM, Agostini JV, Inouye SK. Delirium superimposed on dementia: a systematic review. J Am Geriatr Soc. 2002; 50(10):1723-1732.
63. Brajtman S, Wright D, Hogan D, et al. Developing guidelines for the assessment and treatment of delirium in older adults at the end of life. Can Geriatr J. 2011;14(2):40-50.
64. Caraceni A, Simonetti F. Palliating delirium in patients with cancer. Lancet Oncol. 2009;10(2):164-172.
65. Alexopoulos GS, Streim J, Carpenter D, et al; Expert Consensus Panel for using Antipsychotic Drugs in Older Patients. Using antipsychotic agents in older patients. J Clin Psychiatry. 2004;65(suppl 2):5-99; discussion 100-102; quiz 103-104.
66. Granja C, Gomes E, Amaro A, et al. Understanding posttraumatic stress disorder-related symptoms after critical care: the early illness amnesia hypothesis. Crit Care Med. 2008;36(10):2801-2809.
67. Ringdal GI, Ringdal K, Juliebø V, et al. Using the Mini- Mental State Examination to screen for delirium in elderly patients with hip fracture. Dement Geriatr Cogn Disord. 2011;32(6):394-400.
68. Olson RA, Chhanabhai T, McKenzie M. Feasibility study of the Montreal Cognitive Assessment (MoCA) in patients with brain metastases. Support Care Cancer. 2008;16(11):1273-1278.
Although delirium has many descriptive terms (Table 1), a common unifying term is “acute global cognitive dysfunction,” now recognized as delirium; a consensus supported by DSM-51 and ICD-102 (Table 2). According to DSM-5, the essential feature is a disturbance of attention or awareness that is accompanied by a change in baseline cognition that cannot be explained by another preexisting, established, or evolving neurocognitive disorder (the newly named DSM-5 entity for dementia syndromes).1 Because delirium affects the cortex diffusely, psychiatric symptoms can include cognitive, mood, anxiety, or psychotic symptoms. Because many systemic illnesses can induce delirium, the differential diagnosis spans all organ systems.
Three subtypes
Delirium can be classified, based on symptoms,3,4 into 3 subtypes: hyperactive-hyperalert, hypoactive-hypoalert, and mixed delirium. Hyperactive patients present with restlessness and agitation. Hypoactive patients are lethargic, confused, slow to respond to questions, and often appear depressed. The differential prognostic significance of these subtypes has been examined in the literature, with conflicting results. Rabinowitz5 reported that hypoactive delirium has the worst prognosis, while Marcantonio et al6 indicated that the hyperactive subtype is associated with the highest mortality rate. Mixed delirium, with periods of both hyperactivity and hypoactivity, is the most common type of delirium.7
A prodromal phase, characterized by anxiety, frequent requests for nursing and medical assistance, decreased attention, restlessness, vivid dreams, disorientation immediately after awakening, and hallucinations, can occur before an episode of full-spectrum delirium; this prodromal state often is identified retrospectively —after the patient is in an episode of delirium.8,9
Evidence-based guidelines aim to improve recognition and clinical management.10-13 Disruptive behavior is the main reason for psychiatric referral in delirium.14,15 Delayed psychiatric consultation because of non-recognition of delirium is related to variables such as older age; history of a pre-existing, comorbid neurocognitive disorder; and the clinical appearance of hypoactive delirium.14
The case of Mr. D (Box),16 illustrates how the emergence of antipsychotic-associated neuroleptic malignant syndrome (NMS) can complicate antipsychotic treatment of delirium in a geriatric medical patient, although delirium also is a common presentation in NMS.17 Delirium developed after an increase in carbidopa/levodopa, which has central dopaminergic effects that can precipitate delirium, particularly in a geriatric patient with preexisting comorbid neurocognitive disorder. Further complicating Mr. D’s delirium presentation was the development of NMS, which had a multifactorial causation, such as the use of dopamine antagonists (ie, quetiapine, metoclopramide), and an abrupt decrease of a dopaminergic agent (ie, carbidopa/levodopa), all inducing a central dopamine relative hypoactivity.
Epidemiology
Delirium is more common in older patients,15 and is seen in 30% to 40% of hospitalized geriatric patients.18 Delirium in older patients, compared with other adults, is associated with more severe cognitive impairment.19 It is common among geriatric surgical patients (15% to 62%)20 with a peak 2 to 5 days postoperatively for hip fracture,21 and often is seen in ICU patients (70% to 87%).20 However, Spronk et al22 found that delirium is significantly under-recognized in the ICU. Nearly 90% of terminally ill patients become delirious before death.23 Terminal delirium often is unrecognized and can interfere with assessment of other clinical problems.24 A preexisting history of comorbid neurocognitive disorder was evident in as many as two-thirds of delirium cases.25
Pathophysiology and risk factors
The pathophysiology of delirium has been characterized as an imbalance of CNS metabolism, including decreased blood flow in various regions of the brain that may normalize once delirium resolves.26 Studies describe the simultaneous decrease of cholinergic transmission and dopaminergic excess.27,28 Predisposing and precipitating factors for delirium that are of particular importance in geriatric patients include:
• advanced age
• CNS disease
• infection
• cognitive impairment
• male sex
• poor nutrition
• dehydration and other metabolic abnormalities
• cardiovascular events
• substance use
• medication
• sensory deprivation (eg, impaired vision or hearing)
• sleep deprivation
• low level of physical activity.27,29,30
Table 3 lists the most common delirium-provocative medications.27
Evaluation and psychometric scales
The EEG can be useful in evaluating delirium, especially in clinically ambiguous cases. EEG findings may indicate generalized slowing or dropout of the posterior dominant rhythm, and generalized slow theta and delta waves, findings that are more common in delirium than in other neurocognitive disorders and other psychiatric illnesses. The EEG must be interpreted in the context of the delirium diagnostic workup, because abnormalities seen in other neurocognitive disorders can overlap with those of delirium.31
The EEG referral should specify the clinical suspicion of delirium to help interpret the results. Delirium cases in which the patient’s previous cognitive status is unknown may benefit from EEG evaluation, such as:
• in possible status epilepticus
• when delirium improvement has reached a plateau at a lower level of cognitive function than before onset of delirium
• when the patient is unable or unwilling to complete a psychiatric interview.27
Assessment instruments are available to diagnose and monitor delirium (Table 4). Typically, delirium assessment includes examining levels of arousal, psychomotor activity, cognition (ie, orientation, attention, and memory), and perceptual disturbances.
Psychometrically, a review of Table 4 suggests that validity appeared stable with adequate specificity (64% to 99%) but more variable sensitivity (36% to 100%). These reliability parameters also will be affected by the classification system (ie, DSM vs ICD) and the cut-off score employed.32 Most measures (eg, Confusion Assessment Method [CAM], CAM-ICU) provide an adequate sample of behavioral (ie, level of alertness), motor (ie, psychomotor activity), and cognitive (ie, orientation, attention, memory, and receptive language) function, with the exception of the Global Attentiveness Rating, which is a 2-minute open conversation protocol between physician and patient.
Some measures are stand-alone instruments, such as the Memorial Delirium Assessment Scale, whereas the CAM requires administration of separate cognitive screens, including the Mini-Mental State Examination (MMSE) and Digit Span.33 Instruments to detect delirium in critically ill patients are a more recent development. Wong et al34 reported that the most widely studied tool was the CAM. Obtaining collateral information from family, caregivers, and hospital staff is essential, particularly given the fluctuating nature of delirium.
Management
Prevention. Identify patients at high risk of delirium so that preventive strategies can be employed. Multi-component, nonpharmacotherapeutic interventions are used in clinical settings but few randomized trials have been conducted. The contributing effectiveness of individual components is not well-studied, but most include staff education to increase awareness of delirium. Of 3 multi-component intervention randomized trials, 2 reported a significantly lower incidence of delirium in the intervention group.35-37 Implementation of a multi-component protocol in medical/ surgical units was associated with a significant reduction in use of restraints.38
As in Mr. D’s case, complex drug regimens, particularly for CNS illness, can increase the risk of delirium. Considering the medication profile for patients with complex systemic illness—in particular, minimizing the use anticholinergics and dopamine agonists— may be crucial in preventing delirium.
Prophylactic administration of antipsychotics may reduce the risk of developing postoperative delirium.39 Studies of the use of these agents were characterized by small sample sizes and selected groups of patient populations. Of the 4 randomized studies evaluating prophylactic antipsychotics (vs placebo), 3 found a lower incidence of delirium in the intervention groups.39-41
A study of haloperidol in post-GI surgery patients showed a reduced occurrence of delirium,40 whereas its prophylactic use in patients undergoing hip surgery42 did not reduce the incidence of delirium compared with placebo, but did decrease severity when delirium occurred.42
Risperidone39 in post-cardiac surgery and olanzapine41 perioperatively in patients undergoing total knee or hip replacement have been shown to decrease delirium severity and duration. Targeted prophylaxis with risperidone43 in post-cardiac surgery patients who showed disturbed cognition but did not meet criteria for delirium reduced the number of patients requiring medication, compared with placebo.43
Dexmedetomidine, an α-2 adrenergic receptor agonist, compared with propofol or midazolam in post-cardiac valve surgery patients, resulted in a decreased incidence of delirium but no difference in delirium duration, hospital length of stay, or use of other medications.44 However, other studies have shown that dexmedetomidine reduces ICU length of stay and duration of mechanical ventilation.45
Treatment. Management of hospitalized medically ill geriatric patients with delirium is challenging and requires a comprehensive approach. The first step in delirium management is prompt identification and management of systemic medical disturbances associated with the delirium episode. First-line, nonpharmacotherapeutic strategies for patients with delirium include:
• reorientation
• behavioral interventions (eg, use of clear instructions and frequent eye contact with patients)
• environmental interventions (eg, minimal noise, adequate lighting, and limited room and staff changes)
• avoidance of physical restraints.46
Consider employing family members or hospital staff sitters to stay with the patient and to reassure, reorient, and watch for agitation and other unsafe behaviors (eg, attempted elopement). Psychoeducation for the patient and family on the phenomenology of delirium can be helpful.
The use of drug treatment strategies should be integrated into a comprehensive approach that includes the routine use of nondrug measures.46 Using medications for treating hypoactive delirium, formerly controversial, now has wider acceptance.47,48 A few high-quality randomized trials have been performed.25,49,50
Pharmacotherapy, especially in frail patients, should be initiated at the lowest starting dosage and titrated cautiously to clinical effect and for the shortest period of time necessary. Antipsychotics are preferred agents for treating all subtypes of delirium; haloperidol is widely used.46,51,52 However, antipsychotics, including haloperidol, can be associated with adverse neurologic effects such as extrapyramidal symptoms (EPS) and NMS.
Although reported less frequently than with haloperidol, other agents have been implicated in development of EPS and NMS, including atypical antipsychotics and antiemetic dopamine antagonists, particularly in parkinsonism-prone patients.53 Strategies that can minimize such risks in geriatric inpatients with delirium include oral, rather than parenteral, use of antipsychotics—preferential use of atypical over typical antipsychotics— and lowest effective dosages.54
In controlled trials, atypical antipsychotics for delirium showed efficacy compared with haloperidol.52,55 However, there is no research that demonstrates any advantage of one atypical over another.25
In Mr. D’s case, the most important intervention for managing delirium caused by NMS is to discontinue all dopamine antagonists and treat agitation with judicious doses of a benzodiazepine, with supportive care.17 In cases of sudden discontinuation or a dosage decrease of dopamine agonists, these medications should be resumed or optimized to minimize the risk of NMS-associated rhabdomyolysis and subsequent renal failure.17 Antipsychotics carry an increased risk of stroke and mortality in older patients with established or evolving neurocognitive disorders56,57 and can cause prolongation of the QTc interval.57
Other medications that could be used for delirium include cholinesterase inhibitors58,59 (although larger trials and a systematic review did not support this use60), and 5-HT receptor antagonists,61 such as trazodone. Benzodiazepines, such as lorazepam, are first-line treatment for delirium associated with seizures or withdrawal from alcohol, sedatives, hypnotics, and anxiolytics and for delirium caused by NMS. Be cautious about using benzodiazepines in geriatric patients because of a risk of respiratory depression, falls, sedation, and amnesia.
Geriatric patients with alcoholism and those with malnutrition are prone to thiamine and vitamin B12 deficiencies, which can induce delirium. Laboratory assessment and consideration of supplementation is recommended. Despite high occurrence of delirium in hospitalized older adults with preexisting comorbid neurocognitive disorders, there is no standard care for delirium comorbid with another neurocognitive disorder.62 Clinical practice guidelines for older patients receiving palliative care have been developed63; the goal is to minimize suffering and discomfort in patients in palliative care.64
Post-delirium prophylaxis. Medications for delirium usually can be tapered and discontinued once the episode has resolved and the patient is stable; it is common to discontinue medications when the patient has been symptom-free for 1 week.65 Some patients (eg, with end-stage liver disease, disseminated cancer) are prone to recurrent or to prolonged or chronic delirium. A period of post-recovery treatment with antipsychotics—even indefinite treatment in some cases—should be considered.
Post-delirium debriefing and aftercare. The psychological complications of delirium are distressing for the patient and his (her) caregivers. Psychiatric complications associated with delirium, including acute stress disorder—which might predict posttraumatic stress disorder—have been explored; early recognition and treatment may improve long-term outcomes.66 After recovery from acute delirium, cognitive assessment (eg, MMSE67 or Montreal Cognitive Assessment68) is recommended to validate current cognitive status because patients may have persistent decrement in cognitive function compared with pre-delirium condition, even after recovery from the acute episode.
Post-delirium debriefing may help patients who have recovered from a delirium episode. Patients may fear that their brief period of hallucinations might represent the onset of a chronic-relapsing psychotic disorder. Allow patients to communicate their distress about the delirium episode and give them the opportunity to talk through the experience. Brief them on the possibility that delirium will recur and advise them to seek emergency medical care in case of recurrence. Advise patients to monitor and maintain a normal sleep-wake cycle.
Family members can watch for syndromal recurrence of delirium. They should be encouraged to discuss their reaction to having seen their relative in a delirious state.
Health care systems with integrated electronic medical records should list “delirium, resolved” on the patient’s illness profile or problem list and alert the patient’s primary care provider to the delirium history to avoid future exposure to delirium-provocative medications, and to prompt the provider to assume an active role in post-delirium care, including delirium recurrence surveillance, medication adjustment, risk factor management, and post-recovery cognitive assessment.
Bottom Line
Evaluation of delirium in geriatric patients includes clinical vigilance and screening, differentiating delirium from other neurocognitive disorders, and identifying and treating underlying causes. Perioperative use of antipsychotics may reduce the incidence of delirium, although hospital length of stay generally has not been reduced with prophylaxis. Management interventions include staff education, systematic screening, use of multicomponent interventions, and pharmacologic interventions.
Related Resources
• Downing LJ, Caprio TV, Lyness JM. Geriatric psychiatry review: differential diagnosis and treatment of the 3 D’s - delirium, dementia, and depression. Curr Psychiatry Rep. 2013;15(6):365.
• Brooks PB. Postoperative delirium in elderly patients. Am J Nurs. 2012;112(9):38-49.
Drug Brand Names
Carbidopa/levodopa • Sinemet Midazolam • Versed
Dexmedetomidine • Precedex Olanzapine • Zyprexa
Haloperidol • Haldol Propofol • Diprivan
Lithium • Eskalith, Lithobid Quetiapine • Seroquel
Lorazepam • Ativan Risperidone • Risperdal
Metoclopramide • Reglan Trazodone • Desyrel
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
Although delirium has many descriptive terms (Table 1), a common unifying term is “acute global cognitive dysfunction,” now recognized as delirium; a consensus supported by DSM-51 and ICD-102 (Table 2). According to DSM-5, the essential feature is a disturbance of attention or awareness that is accompanied by a change in baseline cognition that cannot be explained by another preexisting, established, or evolving neurocognitive disorder (the newly named DSM-5 entity for dementia syndromes).1 Because delirium affects the cortex diffusely, psychiatric symptoms can include cognitive, mood, anxiety, or psychotic symptoms. Because many systemic illnesses can induce delirium, the differential diagnosis spans all organ systems.
Three subtypes
Delirium can be classified, based on symptoms,3,4 into 3 subtypes: hyperactive-hyperalert, hypoactive-hypoalert, and mixed delirium. Hyperactive patients present with restlessness and agitation. Hypoactive patients are lethargic, confused, slow to respond to questions, and often appear depressed. The differential prognostic significance of these subtypes has been examined in the literature, with conflicting results. Rabinowitz5 reported that hypoactive delirium has the worst prognosis, while Marcantonio et al6 indicated that the hyperactive subtype is associated with the highest mortality rate. Mixed delirium, with periods of both hyperactivity and hypoactivity, is the most common type of delirium.7
A prodromal phase, characterized by anxiety, frequent requests for nursing and medical assistance, decreased attention, restlessness, vivid dreams, disorientation immediately after awakening, and hallucinations, can occur before an episode of full-spectrum delirium; this prodromal state often is identified retrospectively —after the patient is in an episode of delirium.8,9
Evidence-based guidelines aim to improve recognition and clinical management.10-13 Disruptive behavior is the main reason for psychiatric referral in delirium.14,15 Delayed psychiatric consultation because of non-recognition of delirium is related to variables such as older age; history of a pre-existing, comorbid neurocognitive disorder; and the clinical appearance of hypoactive delirium.14
The case of Mr. D (Box),16 illustrates how the emergence of antipsychotic-associated neuroleptic malignant syndrome (NMS) can complicate antipsychotic treatment of delirium in a geriatric medical patient, although delirium also is a common presentation in NMS.17 Delirium developed after an increase in carbidopa/levodopa, which has central dopaminergic effects that can precipitate delirium, particularly in a geriatric patient with preexisting comorbid neurocognitive disorder. Further complicating Mr. D’s delirium presentation was the development of NMS, which had a multifactorial causation, such as the use of dopamine antagonists (ie, quetiapine, metoclopramide), and an abrupt decrease of a dopaminergic agent (ie, carbidopa/levodopa), all inducing a central dopamine relative hypoactivity.
Epidemiology
Delirium is more common in older patients,15 and is seen in 30% to 40% of hospitalized geriatric patients.18 Delirium in older patients, compared with other adults, is associated with more severe cognitive impairment.19 It is common among geriatric surgical patients (15% to 62%)20 with a peak 2 to 5 days postoperatively for hip fracture,21 and often is seen in ICU patients (70% to 87%).20 However, Spronk et al22 found that delirium is significantly under-recognized in the ICU. Nearly 90% of terminally ill patients become delirious before death.23 Terminal delirium often is unrecognized and can interfere with assessment of other clinical problems.24 A preexisting history of comorbid neurocognitive disorder was evident in as many as two-thirds of delirium cases.25
Pathophysiology and risk factors
The pathophysiology of delirium has been characterized as an imbalance of CNS metabolism, including decreased blood flow in various regions of the brain that may normalize once delirium resolves.26 Studies describe the simultaneous decrease of cholinergic transmission and dopaminergic excess.27,28 Predisposing and precipitating factors for delirium that are of particular importance in geriatric patients include:
• advanced age
• CNS disease
• infection
• cognitive impairment
• male sex
• poor nutrition
• dehydration and other metabolic abnormalities
• cardiovascular events
• substance use
• medication
• sensory deprivation (eg, impaired vision or hearing)
• sleep deprivation
• low level of physical activity.27,29,30
Table 3 lists the most common delirium-provocative medications.27
Evaluation and psychometric scales
The EEG can be useful in evaluating delirium, especially in clinically ambiguous cases. EEG findings may indicate generalized slowing or dropout of the posterior dominant rhythm, and generalized slow theta and delta waves, findings that are more common in delirium than in other neurocognitive disorders and other psychiatric illnesses. The EEG must be interpreted in the context of the delirium diagnostic workup, because abnormalities seen in other neurocognitive disorders can overlap with those of delirium.31
The EEG referral should specify the clinical suspicion of delirium to help interpret the results. Delirium cases in which the patient’s previous cognitive status is unknown may benefit from EEG evaluation, such as:
• in possible status epilepticus
• when delirium improvement has reached a plateau at a lower level of cognitive function than before onset of delirium
• when the patient is unable or unwilling to complete a psychiatric interview.27
Assessment instruments are available to diagnose and monitor delirium (Table 4). Typically, delirium assessment includes examining levels of arousal, psychomotor activity, cognition (ie, orientation, attention, and memory), and perceptual disturbances.
Psychometrically, a review of Table 4 suggests that validity appeared stable with adequate specificity (64% to 99%) but more variable sensitivity (36% to 100%). These reliability parameters also will be affected by the classification system (ie, DSM vs ICD) and the cut-off score employed.32 Most measures (eg, Confusion Assessment Method [CAM], CAM-ICU) provide an adequate sample of behavioral (ie, level of alertness), motor (ie, psychomotor activity), and cognitive (ie, orientation, attention, memory, and receptive language) function, with the exception of the Global Attentiveness Rating, which is a 2-minute open conversation protocol between physician and patient.
Some measures are stand-alone instruments, such as the Memorial Delirium Assessment Scale, whereas the CAM requires administration of separate cognitive screens, including the Mini-Mental State Examination (MMSE) and Digit Span.33 Instruments to detect delirium in critically ill patients are a more recent development. Wong et al34 reported that the most widely studied tool was the CAM. Obtaining collateral information from family, caregivers, and hospital staff is essential, particularly given the fluctuating nature of delirium.
Management
Prevention. Identify patients at high risk of delirium so that preventive strategies can be employed. Multi-component, nonpharmacotherapeutic interventions are used in clinical settings but few randomized trials have been conducted. The contributing effectiveness of individual components is not well-studied, but most include staff education to increase awareness of delirium. Of 3 multi-component intervention randomized trials, 2 reported a significantly lower incidence of delirium in the intervention group.35-37 Implementation of a multi-component protocol in medical/ surgical units was associated with a significant reduction in use of restraints.38
As in Mr. D’s case, complex drug regimens, particularly for CNS illness, can increase the risk of delirium. Considering the medication profile for patients with complex systemic illness—in particular, minimizing the use anticholinergics and dopamine agonists— may be crucial in preventing delirium.
Prophylactic administration of antipsychotics may reduce the risk of developing postoperative delirium.39 Studies of the use of these agents were characterized by small sample sizes and selected groups of patient populations. Of the 4 randomized studies evaluating prophylactic antipsychotics (vs placebo), 3 found a lower incidence of delirium in the intervention groups.39-41
A study of haloperidol in post-GI surgery patients showed a reduced occurrence of delirium,40 whereas its prophylactic use in patients undergoing hip surgery42 did not reduce the incidence of delirium compared with placebo, but did decrease severity when delirium occurred.42
Risperidone39 in post-cardiac surgery and olanzapine41 perioperatively in patients undergoing total knee or hip replacement have been shown to decrease delirium severity and duration. Targeted prophylaxis with risperidone43 in post-cardiac surgery patients who showed disturbed cognition but did not meet criteria for delirium reduced the number of patients requiring medication, compared with placebo.43
Dexmedetomidine, an α-2 adrenergic receptor agonist, compared with propofol or midazolam in post-cardiac valve surgery patients, resulted in a decreased incidence of delirium but no difference in delirium duration, hospital length of stay, or use of other medications.44 However, other studies have shown that dexmedetomidine reduces ICU length of stay and duration of mechanical ventilation.45
Treatment. Management of hospitalized medically ill geriatric patients with delirium is challenging and requires a comprehensive approach. The first step in delirium management is prompt identification and management of systemic medical disturbances associated with the delirium episode. First-line, nonpharmacotherapeutic strategies for patients with delirium include:
• reorientation
• behavioral interventions (eg, use of clear instructions and frequent eye contact with patients)
• environmental interventions (eg, minimal noise, adequate lighting, and limited room and staff changes)
• avoidance of physical restraints.46
Consider employing family members or hospital staff sitters to stay with the patient and to reassure, reorient, and watch for agitation and other unsafe behaviors (eg, attempted elopement). Psychoeducation for the patient and family on the phenomenology of delirium can be helpful.
The use of drug treatment strategies should be integrated into a comprehensive approach that includes the routine use of nondrug measures.46 Using medications for treating hypoactive delirium, formerly controversial, now has wider acceptance.47,48 A few high-quality randomized trials have been performed.25,49,50
Pharmacotherapy, especially in frail patients, should be initiated at the lowest starting dosage and titrated cautiously to clinical effect and for the shortest period of time necessary. Antipsychotics are preferred agents for treating all subtypes of delirium; haloperidol is widely used.46,51,52 However, antipsychotics, including haloperidol, can be associated with adverse neurologic effects such as extrapyramidal symptoms (EPS) and NMS.
Although reported less frequently than with haloperidol, other agents have been implicated in development of EPS and NMS, including atypical antipsychotics and antiemetic dopamine antagonists, particularly in parkinsonism-prone patients.53 Strategies that can minimize such risks in geriatric inpatients with delirium include oral, rather than parenteral, use of antipsychotics—preferential use of atypical over typical antipsychotics— and lowest effective dosages.54
In controlled trials, atypical antipsychotics for delirium showed efficacy compared with haloperidol.52,55 However, there is no research that demonstrates any advantage of one atypical over another.25
In Mr. D’s case, the most important intervention for managing delirium caused by NMS is to discontinue all dopamine antagonists and treat agitation with judicious doses of a benzodiazepine, with supportive care.17 In cases of sudden discontinuation or a dosage decrease of dopamine agonists, these medications should be resumed or optimized to minimize the risk of NMS-associated rhabdomyolysis and subsequent renal failure.17 Antipsychotics carry an increased risk of stroke and mortality in older patients with established or evolving neurocognitive disorders56,57 and can cause prolongation of the QTc interval.57
Other medications that could be used for delirium include cholinesterase inhibitors58,59 (although larger trials and a systematic review did not support this use60), and 5-HT receptor antagonists,61 such as trazodone. Benzodiazepines, such as lorazepam, are first-line treatment for delirium associated with seizures or withdrawal from alcohol, sedatives, hypnotics, and anxiolytics and for delirium caused by NMS. Be cautious about using benzodiazepines in geriatric patients because of a risk of respiratory depression, falls, sedation, and amnesia.
Geriatric patients with alcoholism and those with malnutrition are prone to thiamine and vitamin B12 deficiencies, which can induce delirium. Laboratory assessment and consideration of supplementation is recommended. Despite high occurrence of delirium in hospitalized older adults with preexisting comorbid neurocognitive disorders, there is no standard care for delirium comorbid with another neurocognitive disorder.62 Clinical practice guidelines for older patients receiving palliative care have been developed63; the goal is to minimize suffering and discomfort in patients in palliative care.64
Post-delirium prophylaxis. Medications for delirium usually can be tapered and discontinued once the episode has resolved and the patient is stable; it is common to discontinue medications when the patient has been symptom-free for 1 week.65 Some patients (eg, with end-stage liver disease, disseminated cancer) are prone to recurrent or to prolonged or chronic delirium. A period of post-recovery treatment with antipsychotics—even indefinite treatment in some cases—should be considered.
Post-delirium debriefing and aftercare. The psychological complications of delirium are distressing for the patient and his (her) caregivers. Psychiatric complications associated with delirium, including acute stress disorder—which might predict posttraumatic stress disorder—have been explored; early recognition and treatment may improve long-term outcomes.66 After recovery from acute delirium, cognitive assessment (eg, MMSE67 or Montreal Cognitive Assessment68) is recommended to validate current cognitive status because patients may have persistent decrement in cognitive function compared with pre-delirium condition, even after recovery from the acute episode.
Post-delirium debriefing may help patients who have recovered from a delirium episode. Patients may fear that their brief period of hallucinations might represent the onset of a chronic-relapsing psychotic disorder. Allow patients to communicate their distress about the delirium episode and give them the opportunity to talk through the experience. Brief them on the possibility that delirium will recur and advise them to seek emergency medical care in case of recurrence. Advise patients to monitor and maintain a normal sleep-wake cycle.
Family members can watch for syndromal recurrence of delirium. They should be encouraged to discuss their reaction to having seen their relative in a delirious state.
Health care systems with integrated electronic medical records should list “delirium, resolved” on the patient’s illness profile or problem list and alert the patient’s primary care provider to the delirium history to avoid future exposure to delirium-provocative medications, and to prompt the provider to assume an active role in post-delirium care, including delirium recurrence surveillance, medication adjustment, risk factor management, and post-recovery cognitive assessment.
Bottom Line
Evaluation of delirium in geriatric patients includes clinical vigilance and screening, differentiating delirium from other neurocognitive disorders, and identifying and treating underlying causes. Perioperative use of antipsychotics may reduce the incidence of delirium, although hospital length of stay generally has not been reduced with prophylaxis. Management interventions include staff education, systematic screening, use of multicomponent interventions, and pharmacologic interventions.
Related Resources
• Downing LJ, Caprio TV, Lyness JM. Geriatric psychiatry review: differential diagnosis and treatment of the 3 D’s - delirium, dementia, and depression. Curr Psychiatry Rep. 2013;15(6):365.
• Brooks PB. Postoperative delirium in elderly patients. Am J Nurs. 2012;112(9):38-49.
Drug Brand Names
Carbidopa/levodopa • Sinemet Midazolam • Versed
Dexmedetomidine • Precedex Olanzapine • Zyprexa
Haloperidol • Haldol Propofol • Diprivan
Lithium • Eskalith, Lithobid Quetiapine • Seroquel
Lorazepam • Ativan Risperidone • Risperdal
Metoclopramide • Reglan Trazodone • Desyrel
Disclosures
The authors report no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.
1. Diagnostic and statistical manual of mental disorders, fifth edition. Washington, DC: American Psychiatric Association; 2013.
2. World Health Organization. The ICD-10 classification of mental and behavioural disorders. Diagnostic criteria for research. Geneva, Switzerland: WHO; 1993.
3. Lipowski ZJ. Delirium in the elderly patient. N Engl J Med. 1989;320(9):578-582.
4. Meagher DJ, Trzepacz PT. Motoric subtypes of delirium. Semin Clin Neuropsychiatry. 2000;5(2):75-85.
5. Rabinowitz T. Delirium: an important (but often unrecognized) clinical syndrome. Curr Psychiatry Rep. 2002;4(3):202-208.
6. Marcantonio ER, Ta T, Duthie E, et al. Delirium severity and psychomotor types: their relationship with outcomes after hip fracture repair. Am J Geriatr Soc. 2002;50(5):850-857.
7. Ely EW, Inouye SK, Bernard GR, et al. Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA. 2001;286(21):2703-2710.
8. Duppils GS, Wikblad K. Delirium: behavioural changes before and during the prodromal phase. J Clin Nurs. 2004;13(5):609-616.
9. de Jonghe JF, Kalisvaart KJ, Dijkstra M, et al. Early symptoms in the prodromal phase of delirium: a prospective cohort study in elderly patients undergoing hip surgery. Am J Geriatr Psychiatry. 2007;15(2):112-121.
10. Cook IA. Guideline watch: practice guideline for the treatment of patients with delirium. Arlington, VA: American Psychiatric Publishing; 2004.
11. Hogan D, Gage L, Bruto V, et al. National guidelines for seniors’ mental health: the assessment and treatment of delirium. Canadian Journal of Geriatrics. 2006;9(suppl 2):S42-51.
12. Leentjens AF, Diefenbacher A. A survey of delirium guidelines in Europe. J Psychosom Res. 2006;61(1):123-128.
13. Tropea J, Slee JA, Brand CA, et al. Clinical practice guidelines for the management of delirium in older people in Australia. Australas J Ageing. 2008;27(3):150-156.
14. Mittal D, Majithia D, Kennedy R, et al. Differences in characteristics and outcome of delirium as based on referral patterns. Psychosomatics. 2006;47(5):367-375.
15. Grover S, Subodh BN, Avasthi A, et al. Prevalence and clinical profile of delirium: a study from a tertiary-care hospital in north India. Gen Hosp Psychiatry. 2009;31(1): 25-29.
16. Inouye SK, van Dyck CH, Alessi CA, et al. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12): 941-948.
17. Strawn JR, Keck PE Jr, Caroff SN. Neuroleptic malignant syndrome. Am J Psychiatry. 2007;164(6):870-876.
18. Dobmejer K. Delirium in elderly medical patients. Clinical Geriatrics. 1996;4:43-68.
19. Leentjens AF, Maclullich AM, Meagher DJ. Delirium, Cinderella no more...? J Psychosom Res. 2008;65(3):205.
20. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220.
21. Streubel PN, Ricci WM, Gardner MJ. Fragility fractures: preoperative, perioperative, and postoperative management. Current Orthopaedic Practice. 2009;20(5):482-489.
22. Spronk PE, Riekerk B, Hofhuis J, et al. Occurrence of delirium is severely underestimated in the ICU during daily care. Intensive Care Med. 2009;35(7):1276-1280.
23. Lawlor PG, Gagnon B, Mancini IL, et al. Occurrence, causes, and outcome of delirium in patients with advanced cancer: a prospective study. Arch Intern Med. 2000;160(6):786-794.
24. Ganzini L. Care of patients with delirium at the end of life. Annals of Long-Term Care. 2007;15(3):35-40.
25. Bourne RS, Tahir TA, Borthwick M, et al. Drug treatment of delirium: past, present and future. J Psychosom Res. 2008;65(3):273-282.
26. Yokota H, Ogawa S, Kurokawa A, et al. Regional cerebral blood flow in delirium patients. Psychiatry Clin Neurosci. 2003;57(3):337-339.
27. Maldonado JR. Pathoetiological model of delirium: a comprehensive understanding of the neurobiology of delirium and an evidence-based approach to prevention and treatment. Crit Care Clin. 2008;24(4):789-856, ix.
28. Trzepacz PT. Is there a final common neural pathway in delirium? Focus on acetylcholine and dopamine. Semin Clin Neuropsychiatry. 2000;5(2):132-148.
29. Inouye SK. The dilemma of delirium: clinical and research controversies regarding diagnosis and evaluation of delirium in hospitalized elderly medical patients. Am J Med. 1994;97(3):278-288.
30. Laurila JV, Laakkonen ML, Tilvis RS, et al. Predisposing and precipitating factors for delirium in a frail geriatric population. J Psychosom Res. 2008;65(3):249-254.
31. Morandi A, McCurley J, Vasilevskis EE, et al. Tools to detect delirium superimposed on dementia: a systematic review. J Am Geriatr Soc. 2012;60(11):2005-2013.
32. Kazmierski J, Kowman M, Banach M, et al. The use of DSM-IV and ICD-10 criteria and diagnostic scales for delirium among cardiac surgery patients: results from the IPDACS study. J Neuropsychiatry Clin Neurosci. 2010; 22(4):426-432.
33. Breitbart W, Rosenfeld B, Roth A, et al. The Memorial Delirium Rating Scale. J Pain Symptom Manage. 1997;13(3):128-137.
34. Wong CL, Holroyd-Leduc J, Simel DL, et al. Does this patient have delirium?: value of bedside instruments. JAMA. 2010;304(7):779-786.
35. Marcantonio ER, Flacker JM, Wright RJ, et al. Reducing delirium after hip fracture: a randomized trial. J Am Geriatr Soc. 2011;49(5):516-522.
36. Lundström M, Edlund A, Karlsson S, et al. A multifactorial intervention program reduces the duration of delirium, length of hospitalization, and mortality in delirious patients. J Am Geriatr Soc. 2005;53(4):622-628.
37. Lundström M, Olofsson B, Stenvall M, et al. Postoperative delirium in old patients with femoral neck fracture: a randomized intervention study. Aging Clin Exp Res. 2007; 19(3):178-186.
38. Kratz A. Use of the acute confusion protocol: a research utilization project. J Nurs Care Qual. 2008;23(4):331-337.
39. Prakanrattana U, Prapaitrakool S. Efficacy of risperidone for prevention of postoperative delirium in cardiac surgery. Anaesth Intensive Care. 2007;35(5):714-719.
40. Kaneko T, Cai J, Ishikura T, et al. Prophylactic consecutive administration of haloperidol can reduce the occurrence of postoperative delirium in gastrointestinal surgery. Yonago Acta Medica. 1999;42:179-184.
41. Larsen KA, Kelly SE, Stern TA, et al. Administration of olanzapine to prevent postoperative delirium in elderly joint-replacement patients: a randomized, controlled trial. Psychosomatics. 2010;51(5):409-418.
42. Kalisvaart KJ, de Jonghe JF, Bogaards MJ, et al. Haloperidol prophylaxis for elderly hip-surgery patients at risk for delirium: a randomized placebo-controlled study. J Am Geriatr Soc. 2005;53(10):1658-1666.
43. Hakim SM, Othman AI, Naoum DO. Early treatment with risperidone for subsyndromal delirium after on-pump cardiac surgery in the elderly: a randomized trial. Anesthesiology. 2012;116(5):987-997.
44. Maldonado JR, Wysong A, van der Starre PJ, et al. Dexmedetomidine and the reduction of postoperative delirium after cardiac surgery. Psychosomatics. 2009;50(3): 206-217.
45. Short J. Use of dexmedetomidine for primary sedation in a general intensive care unit. Crit Care Nurse. 2010;30(1): 29-38; quiz 39.
46. Practice guideline for the treatment of patients with delirium. American Psychiatric Association [Comment in: Treatment of patients with delirium. Am J Psychiatry. 2000.]. Am J Psychiatry. 1999;156(suppl 5):1-20.
47. Maldonado JR. Delirium in the acute care setting: characteristics, diagnosis, and treatment. Crit Care Clin. 2008;24(4):657-722, vii.
48. Platt MM, Breitbart W, Smith M, et al. Efficacy of neuroleptics for hypoactive delirium. J Neuropsychiatry Clin Neurosci. 1994;6(1):66-67.
49. Lonergan E, Britton AM, Luxenberg J, et al. Antipsychotics for delirium. Cochrane Database Syst Rev. 2007;(2):CD005594.
50. Seitz DP, Gill SS, van Zyl LT. Antipsychotics in the treatment of delirium: a systematic review. J Clin Psychiatry. 2007;68(1):11-21.
51. Breitbart W, Marotta R, Platt MM, et al. A double-blind trial of haloperidol, chlorpromazine, and lorazepam in the treatment of delirium in hospitalized AIDS patients. Am J Psychiatry. 1996;153(2):231-237.
52. Hu H, Deng W, Yang H, et al. Olanzapine and haloperidol for senile delirium: a randomized controlled observation. Chinese Journal of Clinical Rehabilitation. 2006;10(42): 188-190.
53. Friedman JH, Fernandez HH. Atypical antipsychotics in Parkinson-sensitive populations. J Geriatr Psychiatry Neurol. 2002;15(3):156-170.
54. Seitz DP, Gill SS. Neuroleptic malignant syndrome complicating antipsychotic treatment of delirium or agitation in medical and surgical patients: case reports and a review of the literature. Psychosomatics. 2009; 50(1):8-15.
55. Han CS, Kim YK. A double-blind trial of risperidone and haloperidol for the treatment of delirium. Psychosomatics. 2004;45(4):297-301.
56. Sink KM, Holden KF, Yaffe K. Pharmacological treatment of neuropsychiatric symptoms of dementia: a review of the evidence. JAMA. 2005;293(5):596-608.
57. Hermann N, Lanctôt KL. Atypical antipsychotics for neuropsychiatric symptoms of dementia: malignant or maligned? Drug Saf. 2006;29(10):833-843.
58. Noyan MA, Elbi H, Aksu H. Donepezil for anticholinergic drug intoxication: a case report. Prog Neuropsychopharmacol Biol Psychiatry. 2003;27(5):885-887.
59. Gleason OC. Donepezil for postoperative delirium. Psychosomatics. 2003;44(5):437-438.
60. Overshott R, Karim S, Burns A. Cholinesterase inhibitors for delirium. Cochrane Database Syst Rev. 2008;(1): CD005317.
61. Davis MP. Does trazodone have a role in palliating symptoms? Support Care Cancer. 2007;15(2):221-224.
62. Fick DM, Agostini JV, Inouye SK. Delirium superimposed on dementia: a systematic review. J Am Geriatr Soc. 2002; 50(10):1723-1732.
63. Brajtman S, Wright D, Hogan D, et al. Developing guidelines for the assessment and treatment of delirium in older adults at the end of life. Can Geriatr J. 2011;14(2):40-50.
64. Caraceni A, Simonetti F. Palliating delirium in patients with cancer. Lancet Oncol. 2009;10(2):164-172.
65. Alexopoulos GS, Streim J, Carpenter D, et al; Expert Consensus Panel for using Antipsychotic Drugs in Older Patients. Using antipsychotic agents in older patients. J Clin Psychiatry. 2004;65(suppl 2):5-99; discussion 100-102; quiz 103-104.
66. Granja C, Gomes E, Amaro A, et al. Understanding posttraumatic stress disorder-related symptoms after critical care: the early illness amnesia hypothesis. Crit Care Med. 2008;36(10):2801-2809.
67. Ringdal GI, Ringdal K, Juliebø V, et al. Using the Mini- Mental State Examination to screen for delirium in elderly patients with hip fracture. Dement Geriatr Cogn Disord. 2011;32(6):394-400.
68. Olson RA, Chhanabhai T, McKenzie M. Feasibility study of the Montreal Cognitive Assessment (MoCA) in patients with brain metastases. Support Care Cancer. 2008;16(11):1273-1278.
1. Diagnostic and statistical manual of mental disorders, fifth edition. Washington, DC: American Psychiatric Association; 2013.
2. World Health Organization. The ICD-10 classification of mental and behavioural disorders. Diagnostic criteria for research. Geneva, Switzerland: WHO; 1993.
3. Lipowski ZJ. Delirium in the elderly patient. N Engl J Med. 1989;320(9):578-582.
4. Meagher DJ, Trzepacz PT. Motoric subtypes of delirium. Semin Clin Neuropsychiatry. 2000;5(2):75-85.
5. Rabinowitz T. Delirium: an important (but often unrecognized) clinical syndrome. Curr Psychiatry Rep. 2002;4(3):202-208.
6. Marcantonio ER, Ta T, Duthie E, et al. Delirium severity and psychomotor types: their relationship with outcomes after hip fracture repair. Am J Geriatr Soc. 2002;50(5):850-857.
7. Ely EW, Inouye SK, Bernard GR, et al. Delirium in mechanically ventilated patients: validity and reliability of the confusion assessment method for the intensive care unit (CAM-ICU). JAMA. 2001;286(21):2703-2710.
8. Duppils GS, Wikblad K. Delirium: behavioural changes before and during the prodromal phase. J Clin Nurs. 2004;13(5):609-616.
9. de Jonghe JF, Kalisvaart KJ, Dijkstra M, et al. Early symptoms in the prodromal phase of delirium: a prospective cohort study in elderly patients undergoing hip surgery. Am J Geriatr Psychiatry. 2007;15(2):112-121.
10. Cook IA. Guideline watch: practice guideline for the treatment of patients with delirium. Arlington, VA: American Psychiatric Publishing; 2004.
11. Hogan D, Gage L, Bruto V, et al. National guidelines for seniors’ mental health: the assessment and treatment of delirium. Canadian Journal of Geriatrics. 2006;9(suppl 2):S42-51.
12. Leentjens AF, Diefenbacher A. A survey of delirium guidelines in Europe. J Psychosom Res. 2006;61(1):123-128.
13. Tropea J, Slee JA, Brand CA, et al. Clinical practice guidelines for the management of delirium in older people in Australia. Australas J Ageing. 2008;27(3):150-156.
14. Mittal D, Majithia D, Kennedy R, et al. Differences in characteristics and outcome of delirium as based on referral patterns. Psychosomatics. 2006;47(5):367-375.
15. Grover S, Subodh BN, Avasthi A, et al. Prevalence and clinical profile of delirium: a study from a tertiary-care hospital in north India. Gen Hosp Psychiatry. 2009;31(1): 25-29.
16. Inouye SK, van Dyck CH, Alessi CA, et al. Clarifying confusion: the confusion assessment method. A new method for detection of delirium. Ann Intern Med. 1990;113(12): 941-948.
17. Strawn JR, Keck PE Jr, Caroff SN. Neuroleptic malignant syndrome. Am J Psychiatry. 2007;164(6):870-876.
18. Dobmejer K. Delirium in elderly medical patients. Clinical Geriatrics. 1996;4:43-68.
19. Leentjens AF, Maclullich AM, Meagher DJ. Delirium, Cinderella no more...? J Psychosom Res. 2008;65(3):205.
20. Fong TG, Tulebaev SR, Inouye SK. Delirium in elderly adults: diagnosis, prevention and treatment. Nat Rev Neurol. 2009;5(4):210-220.
21. Streubel PN, Ricci WM, Gardner MJ. Fragility fractures: preoperative, perioperative, and postoperative management. Current Orthopaedic Practice. 2009;20(5):482-489.
22. Spronk PE, Riekerk B, Hofhuis J, et al. Occurrence of delirium is severely underestimated in the ICU during daily care. Intensive Care Med. 2009;35(7):1276-1280.
23. Lawlor PG, Gagnon B, Mancini IL, et al. Occurrence, causes, and outcome of delirium in patients with advanced cancer: a prospective study. Arch Intern Med. 2000;160(6):786-794.
24. Ganzini L. Care of patients with delirium at the end of life. Annals of Long-Term Care. 2007;15(3):35-40.
25. Bourne RS, Tahir TA, Borthwick M, et al. Drug treatment of delirium: past, present and future. J Psychosom Res. 2008;65(3):273-282.
26. Yokota H, Ogawa S, Kurokawa A, et al. Regional cerebral blood flow in delirium patients. Psychiatry Clin Neurosci. 2003;57(3):337-339.
27. Maldonado JR. Pathoetiological model of delirium: a comprehensive understanding of the neurobiology of delirium and an evidence-based approach to prevention and treatment. Crit Care Clin. 2008;24(4):789-856, ix.
28. Trzepacz PT. Is there a final common neural pathway in delirium? Focus on acetylcholine and dopamine. Semin Clin Neuropsychiatry. 2000;5(2):132-148.
29. Inouye SK. The dilemma of delirium: clinical and research controversies regarding diagnosis and evaluation of delirium in hospitalized elderly medical patients. Am J Med. 1994;97(3):278-288.
30. Laurila JV, Laakkonen ML, Tilvis RS, et al. Predisposing and precipitating factors for delirium in a frail geriatric population. J Psychosom Res. 2008;65(3):249-254.
31. Morandi A, McCurley J, Vasilevskis EE, et al. Tools to detect delirium superimposed on dementia: a systematic review. J Am Geriatr Soc. 2012;60(11):2005-2013.
32. Kazmierski J, Kowman M, Banach M, et al. The use of DSM-IV and ICD-10 criteria and diagnostic scales for delirium among cardiac surgery patients: results from the IPDACS study. J Neuropsychiatry Clin Neurosci. 2010; 22(4):426-432.
33. Breitbart W, Rosenfeld B, Roth A, et al. The Memorial Delirium Rating Scale. J Pain Symptom Manage. 1997;13(3):128-137.
34. Wong CL, Holroyd-Leduc J, Simel DL, et al. Does this patient have delirium?: value of bedside instruments. JAMA. 2010;304(7):779-786.
35. Marcantonio ER, Flacker JM, Wright RJ, et al. Reducing delirium after hip fracture: a randomized trial. J Am Geriatr Soc. 2011;49(5):516-522.
36. Lundström M, Edlund A, Karlsson S, et al. A multifactorial intervention program reduces the duration of delirium, length of hospitalization, and mortality in delirious patients. J Am Geriatr Soc. 2005;53(4):622-628.
37. Lundström M, Olofsson B, Stenvall M, et al. Postoperative delirium in old patients with femoral neck fracture: a randomized intervention study. Aging Clin Exp Res. 2007; 19(3):178-186.
38. Kratz A. Use of the acute confusion protocol: a research utilization project. J Nurs Care Qual. 2008;23(4):331-337.
39. Prakanrattana U, Prapaitrakool S. Efficacy of risperidone for prevention of postoperative delirium in cardiac surgery. Anaesth Intensive Care. 2007;35(5):714-719.
40. Kaneko T, Cai J, Ishikura T, et al. Prophylactic consecutive administration of haloperidol can reduce the occurrence of postoperative delirium in gastrointestinal surgery. Yonago Acta Medica. 1999;42:179-184.
41. Larsen KA, Kelly SE, Stern TA, et al. Administration of olanzapine to prevent postoperative delirium in elderly joint-replacement patients: a randomized, controlled trial. Psychosomatics. 2010;51(5):409-418.
42. Kalisvaart KJ, de Jonghe JF, Bogaards MJ, et al. Haloperidol prophylaxis for elderly hip-surgery patients at risk for delirium: a randomized placebo-controlled study. J Am Geriatr Soc. 2005;53(10):1658-1666.
43. Hakim SM, Othman AI, Naoum DO. Early treatment with risperidone for subsyndromal delirium after on-pump cardiac surgery in the elderly: a randomized trial. Anesthesiology. 2012;116(5):987-997.
44. Maldonado JR, Wysong A, van der Starre PJ, et al. Dexmedetomidine and the reduction of postoperative delirium after cardiac surgery. Psychosomatics. 2009;50(3): 206-217.
45. Short J. Use of dexmedetomidine for primary sedation in a general intensive care unit. Crit Care Nurse. 2010;30(1): 29-38; quiz 39.
46. Practice guideline for the treatment of patients with delirium. American Psychiatric Association [Comment in: Treatment of patients with delirium. Am J Psychiatry. 2000.]. Am J Psychiatry. 1999;156(suppl 5):1-20.
47. Maldonado JR. Delirium in the acute care setting: characteristics, diagnosis, and treatment. Crit Care Clin. 2008;24(4):657-722, vii.
48. Platt MM, Breitbart W, Smith M, et al. Efficacy of neuroleptics for hypoactive delirium. J Neuropsychiatry Clin Neurosci. 1994;6(1):66-67.
49. Lonergan E, Britton AM, Luxenberg J, et al. Antipsychotics for delirium. Cochrane Database Syst Rev. 2007;(2):CD005594.
50. Seitz DP, Gill SS, van Zyl LT. Antipsychotics in the treatment of delirium: a systematic review. J Clin Psychiatry. 2007;68(1):11-21.
51. Breitbart W, Marotta R, Platt MM, et al. A double-blind trial of haloperidol, chlorpromazine, and lorazepam in the treatment of delirium in hospitalized AIDS patients. Am J Psychiatry. 1996;153(2):231-237.
52. Hu H, Deng W, Yang H, et al. Olanzapine and haloperidol for senile delirium: a randomized controlled observation. Chinese Journal of Clinical Rehabilitation. 2006;10(42): 188-190.
53. Friedman JH, Fernandez HH. Atypical antipsychotics in Parkinson-sensitive populations. J Geriatr Psychiatry Neurol. 2002;15(3):156-170.
54. Seitz DP, Gill SS. Neuroleptic malignant syndrome complicating antipsychotic treatment of delirium or agitation in medical and surgical patients: case reports and a review of the literature. Psychosomatics. 2009; 50(1):8-15.
55. Han CS, Kim YK. A double-blind trial of risperidone and haloperidol for the treatment of delirium. Psychosomatics. 2004;45(4):297-301.
56. Sink KM, Holden KF, Yaffe K. Pharmacological treatment of neuropsychiatric symptoms of dementia: a review of the evidence. JAMA. 2005;293(5):596-608.
57. Hermann N, Lanctôt KL. Atypical antipsychotics for neuropsychiatric symptoms of dementia: malignant or maligned? Drug Saf. 2006;29(10):833-843.
58. Noyan MA, Elbi H, Aksu H. Donepezil for anticholinergic drug intoxication: a case report. Prog Neuropsychopharmacol Biol Psychiatry. 2003;27(5):885-887.
59. Gleason OC. Donepezil for postoperative delirium. Psychosomatics. 2003;44(5):437-438.
60. Overshott R, Karim S, Burns A. Cholinesterase inhibitors for delirium. Cochrane Database Syst Rev. 2008;(1): CD005317.
61. Davis MP. Does trazodone have a role in palliating symptoms? Support Care Cancer. 2007;15(2):221-224.
62. Fick DM, Agostini JV, Inouye SK. Delirium superimposed on dementia: a systematic review. J Am Geriatr Soc. 2002; 50(10):1723-1732.
63. Brajtman S, Wright D, Hogan D, et al. Developing guidelines for the assessment and treatment of delirium in older adults at the end of life. Can Geriatr J. 2011;14(2):40-50.
64. Caraceni A, Simonetti F. Palliating delirium in patients with cancer. Lancet Oncol. 2009;10(2):164-172.
65. Alexopoulos GS, Streim J, Carpenter D, et al; Expert Consensus Panel for using Antipsychotic Drugs in Older Patients. Using antipsychotic agents in older patients. J Clin Psychiatry. 2004;65(suppl 2):5-99; discussion 100-102; quiz 103-104.
66. Granja C, Gomes E, Amaro A, et al. Understanding posttraumatic stress disorder-related symptoms after critical care: the early illness amnesia hypothesis. Crit Care Med. 2008;36(10):2801-2809.
67. Ringdal GI, Ringdal K, Juliebø V, et al. Using the Mini- Mental State Examination to screen for delirium in elderly patients with hip fracture. Dement Geriatr Cogn Disord. 2011;32(6):394-400.
68. Olson RA, Chhanabhai T, McKenzie M. Feasibility study of the Montreal Cognitive Assessment (MoCA) in patients with brain metastases. Support Care Cancer. 2008;16(11):1273-1278.