New and Noteworthy Information—June 2015

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Persistently high depressive symptoms are associated with increased stroke risk, according to a study published May 13 in Journal of the American Heart Association. This research included health information from 16,178 men and women age 50 or older who participated in the Health and Retirement Study between 1998 and 2010. Participants were interviewed every two years about depressive symptoms, history of stroke, and stroke risk factors, among other health measures. Stroke risk was elevated among participants with stable high (hazard ratio [HR], 2.14) or remitted (HR, 1.66) depressive symptoms, compared with participants with stable low or no depressive symptoms. Stable high depressive symptoms predicted stroke among all subgroups. Remitted depressive symptoms predicted increased stroke risk among women (HR, 1.86) and non-Hispanic white participants (HR, 1.66).

Chronic traumatic encephalopathy (CTE) is associated with altered and accelerated deposition of amyloid β, according to a study published online ahead of print May 6 in Acta Neuropathologica. Researchers studied a heterogeneous cohort of deceased athletes and military veterans with neuropathologically diagnosed CTE. The investigators found that amyloid β deposition was present in 52% of subjects with CTE. Moreover, amyloid β deposition in CTE occurred at an accelerated rate and with altered dynamics in CTE, compared with a normal aging population. In addition, amyloid β deposition was significantly associated with the presence of the APOE e4 allele, older age at symptom onset, and older age at death. Neuritic plaques were significantly associated with increased CTE tauopathy stage, comorbid Lewy body disease, and dementia.

Low-dose tetrahydrocannabinol (THC) does not significantly reduce dementia-related neuropsychiatric symptoms at 21 days, though it is well tolerated, according to a study published online ahead of print May 13 in Neurology. In a double-blind, placebo-controlled study, investigators randomly assigned patients with dementia and clinically relevant neuropsychiatric symptoms to receive 1.5 mg of THC or matched placebo three times daily for three weeks. Neuropsychiatric symptoms were reduced during both treatment conditions. The difference in reduction from baseline between THC and placebo was not significant. Changes in scores for agitation, quality of life, or activities of daily living also were not significantly different between treatment arms. The number of patients experiencing mild or moderate adverse events was similar in both groups. No effects on vital signs, weight, or episodic memory were observed.

Exposure to elevated levels of fine particulate matter is associated with smaller total cerebral brain volume, according to a study published in the May issue of Stroke. Researchers analyzed 943 adults in the Framingham Offspring Study who were relatively healthy and free of dementia and stroke. Investigators evaluated associations between exposure to fine particulate matter and total cerebral brain volume, hippocampal volume, white matter hyperintensity volume, and covert brain infarcts. A 2-μg/m3 increase in fine particulate matter was associated with –0.32% smaller total cerebral brain volume and 1.46 higher odds of covert brain infarcts. Living further away from a major roadway was associated with 0.10 greater log-transformed white matter hyperintensity volume for an interquartile range difference in distance, but no clear pattern of association was observed for extensive white matter.

Higher occupational attainment is associated with longer survival in autopsy-confirmed frontotemporal lobar degeneration, according to a study published online ahead of print April 22 in Neurology. Researchers performed a retrospective chart review of 83 demographically matched patients with autopsy-confirmed frontotemporal lobar degeneration or Alzheimer’s disease. They used linear regression to test for associations among occupational attainment, education, and patient survival. Median survival was 81 months among patients with frontotemporal lobar degeneration and 95 months among patients with Alzheimer’s disease. Years of education and occupational attainment were similar for both groups. Higher occupational attainment was associated with longer survival in frontotemporal lobar degeneration, but not in Alzheimer’s disease. The findings support the theory that education, occupation, and mental activity create cognitive reserve and protect against disease.

Obesity is a major risk factor for the incidence and chronicity of excessive daytime sleepiness (EDS), and weight loss is associated with its remission, according to a study published March 1 in Sleep. Investigators followed up 1,395 people from a random, general population sample of 1,741 participants in the Penn State Adult Cohort after 7.5 years. The incidence of EDS was 8.2%. Of people with EDS, 62% had remission. Significant interactions between depression and polysomnographic parameters on incident EDS showed that in depressed individuals, incident EDS was associated with sleep disturbances. In individuals without depression, incident EDS was associated with increased physiologic sleep propensity. Diabetes, allergy or asthma, anemia, and sleep complaints also predicted EDS. “EDS has huge implications for public health and policy,” stated the researchers.

 

 

Patients with celiac disease have an increased risk of neuropathy, according to a study published online ahead of print May 11 in JAMA Neurology. Between October 27, 2006, and February 12, 2008, researchers collected data on small-intestinal biopsies performed in pathology departments between June 16, 1969, and February 4, 2008. Investigators compared the risk of neuropathy in 28,232 patients with celiac disease with that of 139,473 age- and sex-matched controls. Celiac disease was associated with a 2.5-fold increased risk of subsequent neuropathy. In addition, the investigators found an increased risk of chronic inflammatory demyelinating neuropathy, autonomic neuropathy, and mononeuritis multiplex in patients with celiac disease. They found no association, however, between celiac disease and acute inflammatory demyelinating polyneuropathy. Physicians should screen patients with neuropathy for celiac disease, said the researchers.

A professional life that stimulates verbal intelligence and executive function may help to sustain good cognitive function in people age 75 and older, according to a study published online ahead of print April 29 in Neurology. For the study, 1,054 people age 75 or older underwent the Mini-Mental State Examination every one-and-a-half years for eight years. In multivariate mixed-model analyses, a high level of mentally demanding work tasks stimulating verbal intelligence was significantly associated with better cognitive functioning at baseline and a lower rate of cognitive decline during the eight-year follow-up period, compared with a low level of these tasks. The rate of cognitive decline in old age was also significantly lower in individuals who had a high level of mentally demanding work tasks stimulating executive function.

In Get With the Guidelines-Stroke hospitals, electronic health records are not associated with higher-quality care or better clinical outcomes for stroke care, according to a study published May 12 in Journal of the American College of Cardiology. Researchers studied 626,473 patients from 1,236 US hospitals in Get With the Guidelines-Stroke from 2007 through 2010. They used the American Hospital Association annual survey to determine the presence of electronic health records. Hospitals with electronic health records were larger and were more often teaching hospitals and stroke centers. After controlling for patient and hospital characteristics, patients admitted to hospitals with electronic health records had similar odds of receiving “all-or-none care.” The odds of having a length of stay greater than four days was slightly lower at hospitals with electronic health records.

Off-label use of the Lariat device for left atrial appendage exclusion to prevent stroke in patients with atrial fibrillation entails significant risks of adverse events, according to a study published online ahead of print May 4 in JAMA Internal Medicine. Investigators searched PubMed, EMBASE, CINAHL, and the Cochrane Library from January 2007 through August 2014 to identify all studies reporting use of the Lariat device in three or more patients. They queried the FDA MAUDE database for adverse events reports related to Lariat use. Five reports of Lariat device use in 309 participants were identified. The FDA MAUDE database contained 35 unique reports of adverse events with use of the Lariat device. Among these reports were five adverse event reports that noted pericardial effusion and death and an additional 23 that reported urgent cardiac surgery, but not death.

Insomnia is linked to functional and cognitive impairment among patients with shift work disorder, according to a study published April 15 in Journal of Clinical Sleep Medicine. The analysis included 34 night workers, 26 of whom were diagnosed with shift work disorder. Participants underwent an overnight laboratory protocol including a multiple sleep latency test (MSLT), an event-related brain potential (ERP) task, and various questionnaires. Participants reporting insomnia without sleepiness were the most impaired on the Endicott Work Productivity Scale (EWPS) and significantly more impaired than controls. Participants reporting insomnia and sleepiness were not statistically different from controls. Neither MSLT nor the Epworth Sleepiness Scale correlated with EWPS scores or ERP amplitudes. The mean of the Insomnia Severity Indices measurements, however, correlated with the EWPS.

The measurement of grip strength is a simple, inexpensive risk-stratifying method for all-cause death, cardiovascular death, and cardiovascular disease, according to a study published online ahead of print May 13 in Lancet. In the Prospective Urban-Rural Epidemiology study, researchers enrolled households that each included at least one member between ages 35 and 70. The investigators measured participants’ grip strength with a Jamar dynamometer. Median follow-up was four years. Grip strength was inversely associated with all-cause mortality, cardiovascular mortality, noncardiovascular mortality, myocardial infarction, and stroke. Grip strength was a stronger predictor of all-cause and cardiovascular mortality than systolic blood pressure was. The researchers found no significant association between grip strength and incident diabetes, risk of hospital admission for pneumonia or chronic obstructive pulmonary disease, injury from fall, or fracture.

 

 

Sleep deprivation is particularly problematic for decision-making involving uncertainty and unexpected change, according to a study published in the May issue of Sleep. Twenty-six subjects were randomized to 62 hours of total sleep deprivation or to a control condition. Researchers conducted performance testing at baseline, after two nights of total sleep deprivation or rested control, and following two nights of recovery sleep. Participants performed a decision task that involved initial learning of response sets and subsequent reversal of contingencies. Working memory and psychomotor vigilance tests also were administered. Sleep-deprived subjects had difficulty with initial learning of stimuli sets and profound impairment adapting to reversal. Skin conductance responses to outcome feedback were diminished, indicating blunted affective reactions to feedback accompanying sleep deprivation. Sleep deprivation did not significantly affect working memory scanning performance.

Kimberly Williams

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Persistently high depressive symptoms are associated with increased stroke risk, according to a study published May 13 in Journal of the American Heart Association. This research included health information from 16,178 men and women age 50 or older who participated in the Health and Retirement Study between 1998 and 2010. Participants were interviewed every two years about depressive symptoms, history of stroke, and stroke risk factors, among other health measures. Stroke risk was elevated among participants with stable high (hazard ratio [HR], 2.14) or remitted (HR, 1.66) depressive symptoms, compared with participants with stable low or no depressive symptoms. Stable high depressive symptoms predicted stroke among all subgroups. Remitted depressive symptoms predicted increased stroke risk among women (HR, 1.86) and non-Hispanic white participants (HR, 1.66).

Chronic traumatic encephalopathy (CTE) is associated with altered and accelerated deposition of amyloid β, according to a study published online ahead of print May 6 in Acta Neuropathologica. Researchers studied a heterogeneous cohort of deceased athletes and military veterans with neuropathologically diagnosed CTE. The investigators found that amyloid β deposition was present in 52% of subjects with CTE. Moreover, amyloid β deposition in CTE occurred at an accelerated rate and with altered dynamics in CTE, compared with a normal aging population. In addition, amyloid β deposition was significantly associated with the presence of the APOE e4 allele, older age at symptom onset, and older age at death. Neuritic plaques were significantly associated with increased CTE tauopathy stage, comorbid Lewy body disease, and dementia.

Low-dose tetrahydrocannabinol (THC) does not significantly reduce dementia-related neuropsychiatric symptoms at 21 days, though it is well tolerated, according to a study published online ahead of print May 13 in Neurology. In a double-blind, placebo-controlled study, investigators randomly assigned patients with dementia and clinically relevant neuropsychiatric symptoms to receive 1.5 mg of THC or matched placebo three times daily for three weeks. Neuropsychiatric symptoms were reduced during both treatment conditions. The difference in reduction from baseline between THC and placebo was not significant. Changes in scores for agitation, quality of life, or activities of daily living also were not significantly different between treatment arms. The number of patients experiencing mild or moderate adverse events was similar in both groups. No effects on vital signs, weight, or episodic memory were observed.

Exposure to elevated levels of fine particulate matter is associated with smaller total cerebral brain volume, according to a study published in the May issue of Stroke. Researchers analyzed 943 adults in the Framingham Offspring Study who were relatively healthy and free of dementia and stroke. Investigators evaluated associations between exposure to fine particulate matter and total cerebral brain volume, hippocampal volume, white matter hyperintensity volume, and covert brain infarcts. A 2-μg/m3 increase in fine particulate matter was associated with –0.32% smaller total cerebral brain volume and 1.46 higher odds of covert brain infarcts. Living further away from a major roadway was associated with 0.10 greater log-transformed white matter hyperintensity volume for an interquartile range difference in distance, but no clear pattern of association was observed for extensive white matter.

Higher occupational attainment is associated with longer survival in autopsy-confirmed frontotemporal lobar degeneration, according to a study published online ahead of print April 22 in Neurology. Researchers performed a retrospective chart review of 83 demographically matched patients with autopsy-confirmed frontotemporal lobar degeneration or Alzheimer’s disease. They used linear regression to test for associations among occupational attainment, education, and patient survival. Median survival was 81 months among patients with frontotemporal lobar degeneration and 95 months among patients with Alzheimer’s disease. Years of education and occupational attainment were similar for both groups. Higher occupational attainment was associated with longer survival in frontotemporal lobar degeneration, but not in Alzheimer’s disease. The findings support the theory that education, occupation, and mental activity create cognitive reserve and protect against disease.

Obesity is a major risk factor for the incidence and chronicity of excessive daytime sleepiness (EDS), and weight loss is associated with its remission, according to a study published March 1 in Sleep. Investigators followed up 1,395 people from a random, general population sample of 1,741 participants in the Penn State Adult Cohort after 7.5 years. The incidence of EDS was 8.2%. Of people with EDS, 62% had remission. Significant interactions between depression and polysomnographic parameters on incident EDS showed that in depressed individuals, incident EDS was associated with sleep disturbances. In individuals without depression, incident EDS was associated with increased physiologic sleep propensity. Diabetes, allergy or asthma, anemia, and sleep complaints also predicted EDS. “EDS has huge implications for public health and policy,” stated the researchers.

 

 

Patients with celiac disease have an increased risk of neuropathy, according to a study published online ahead of print May 11 in JAMA Neurology. Between October 27, 2006, and February 12, 2008, researchers collected data on small-intestinal biopsies performed in pathology departments between June 16, 1969, and February 4, 2008. Investigators compared the risk of neuropathy in 28,232 patients with celiac disease with that of 139,473 age- and sex-matched controls. Celiac disease was associated with a 2.5-fold increased risk of subsequent neuropathy. In addition, the investigators found an increased risk of chronic inflammatory demyelinating neuropathy, autonomic neuropathy, and mononeuritis multiplex in patients with celiac disease. They found no association, however, between celiac disease and acute inflammatory demyelinating polyneuropathy. Physicians should screen patients with neuropathy for celiac disease, said the researchers.

A professional life that stimulates verbal intelligence and executive function may help to sustain good cognitive function in people age 75 and older, according to a study published online ahead of print April 29 in Neurology. For the study, 1,054 people age 75 or older underwent the Mini-Mental State Examination every one-and-a-half years for eight years. In multivariate mixed-model analyses, a high level of mentally demanding work tasks stimulating verbal intelligence was significantly associated with better cognitive functioning at baseline and a lower rate of cognitive decline during the eight-year follow-up period, compared with a low level of these tasks. The rate of cognitive decline in old age was also significantly lower in individuals who had a high level of mentally demanding work tasks stimulating executive function.

In Get With the Guidelines-Stroke hospitals, electronic health records are not associated with higher-quality care or better clinical outcomes for stroke care, according to a study published May 12 in Journal of the American College of Cardiology. Researchers studied 626,473 patients from 1,236 US hospitals in Get With the Guidelines-Stroke from 2007 through 2010. They used the American Hospital Association annual survey to determine the presence of electronic health records. Hospitals with electronic health records were larger and were more often teaching hospitals and stroke centers. After controlling for patient and hospital characteristics, patients admitted to hospitals with electronic health records had similar odds of receiving “all-or-none care.” The odds of having a length of stay greater than four days was slightly lower at hospitals with electronic health records.

Off-label use of the Lariat device for left atrial appendage exclusion to prevent stroke in patients with atrial fibrillation entails significant risks of adverse events, according to a study published online ahead of print May 4 in JAMA Internal Medicine. Investigators searched PubMed, EMBASE, CINAHL, and the Cochrane Library from January 2007 through August 2014 to identify all studies reporting use of the Lariat device in three or more patients. They queried the FDA MAUDE database for adverse events reports related to Lariat use. Five reports of Lariat device use in 309 participants were identified. The FDA MAUDE database contained 35 unique reports of adverse events with use of the Lariat device. Among these reports were five adverse event reports that noted pericardial effusion and death and an additional 23 that reported urgent cardiac surgery, but not death.

Insomnia is linked to functional and cognitive impairment among patients with shift work disorder, according to a study published April 15 in Journal of Clinical Sleep Medicine. The analysis included 34 night workers, 26 of whom were diagnosed with shift work disorder. Participants underwent an overnight laboratory protocol including a multiple sleep latency test (MSLT), an event-related brain potential (ERP) task, and various questionnaires. Participants reporting insomnia without sleepiness were the most impaired on the Endicott Work Productivity Scale (EWPS) and significantly more impaired than controls. Participants reporting insomnia and sleepiness were not statistically different from controls. Neither MSLT nor the Epworth Sleepiness Scale correlated with EWPS scores or ERP amplitudes. The mean of the Insomnia Severity Indices measurements, however, correlated with the EWPS.

The measurement of grip strength is a simple, inexpensive risk-stratifying method for all-cause death, cardiovascular death, and cardiovascular disease, according to a study published online ahead of print May 13 in Lancet. In the Prospective Urban-Rural Epidemiology study, researchers enrolled households that each included at least one member between ages 35 and 70. The investigators measured participants’ grip strength with a Jamar dynamometer. Median follow-up was four years. Grip strength was inversely associated with all-cause mortality, cardiovascular mortality, noncardiovascular mortality, myocardial infarction, and stroke. Grip strength was a stronger predictor of all-cause and cardiovascular mortality than systolic blood pressure was. The researchers found no significant association between grip strength and incident diabetes, risk of hospital admission for pneumonia or chronic obstructive pulmonary disease, injury from fall, or fracture.

 

 

Sleep deprivation is particularly problematic for decision-making involving uncertainty and unexpected change, according to a study published in the May issue of Sleep. Twenty-six subjects were randomized to 62 hours of total sleep deprivation or to a control condition. Researchers conducted performance testing at baseline, after two nights of total sleep deprivation or rested control, and following two nights of recovery sleep. Participants performed a decision task that involved initial learning of response sets and subsequent reversal of contingencies. Working memory and psychomotor vigilance tests also were administered. Sleep-deprived subjects had difficulty with initial learning of stimuli sets and profound impairment adapting to reversal. Skin conductance responses to outcome feedback were diminished, indicating blunted affective reactions to feedback accompanying sleep deprivation. Sleep deprivation did not significantly affect working memory scanning performance.

Kimberly Williams

Persistently high depressive symptoms are associated with increased stroke risk, according to a study published May 13 in Journal of the American Heart Association. This research included health information from 16,178 men and women age 50 or older who participated in the Health and Retirement Study between 1998 and 2010. Participants were interviewed every two years about depressive symptoms, history of stroke, and stroke risk factors, among other health measures. Stroke risk was elevated among participants with stable high (hazard ratio [HR], 2.14) or remitted (HR, 1.66) depressive symptoms, compared with participants with stable low or no depressive symptoms. Stable high depressive symptoms predicted stroke among all subgroups. Remitted depressive symptoms predicted increased stroke risk among women (HR, 1.86) and non-Hispanic white participants (HR, 1.66).

Chronic traumatic encephalopathy (CTE) is associated with altered and accelerated deposition of amyloid β, according to a study published online ahead of print May 6 in Acta Neuropathologica. Researchers studied a heterogeneous cohort of deceased athletes and military veterans with neuropathologically diagnosed CTE. The investigators found that amyloid β deposition was present in 52% of subjects with CTE. Moreover, amyloid β deposition in CTE occurred at an accelerated rate and with altered dynamics in CTE, compared with a normal aging population. In addition, amyloid β deposition was significantly associated with the presence of the APOE e4 allele, older age at symptom onset, and older age at death. Neuritic plaques were significantly associated with increased CTE tauopathy stage, comorbid Lewy body disease, and dementia.

Low-dose tetrahydrocannabinol (THC) does not significantly reduce dementia-related neuropsychiatric symptoms at 21 days, though it is well tolerated, according to a study published online ahead of print May 13 in Neurology. In a double-blind, placebo-controlled study, investigators randomly assigned patients with dementia and clinically relevant neuropsychiatric symptoms to receive 1.5 mg of THC or matched placebo three times daily for three weeks. Neuropsychiatric symptoms were reduced during both treatment conditions. The difference in reduction from baseline between THC and placebo was not significant. Changes in scores for agitation, quality of life, or activities of daily living also were not significantly different between treatment arms. The number of patients experiencing mild or moderate adverse events was similar in both groups. No effects on vital signs, weight, or episodic memory were observed.

Exposure to elevated levels of fine particulate matter is associated with smaller total cerebral brain volume, according to a study published in the May issue of Stroke. Researchers analyzed 943 adults in the Framingham Offspring Study who were relatively healthy and free of dementia and stroke. Investigators evaluated associations between exposure to fine particulate matter and total cerebral brain volume, hippocampal volume, white matter hyperintensity volume, and covert brain infarcts. A 2-μg/m3 increase in fine particulate matter was associated with –0.32% smaller total cerebral brain volume and 1.46 higher odds of covert brain infarcts. Living further away from a major roadway was associated with 0.10 greater log-transformed white matter hyperintensity volume for an interquartile range difference in distance, but no clear pattern of association was observed for extensive white matter.

Higher occupational attainment is associated with longer survival in autopsy-confirmed frontotemporal lobar degeneration, according to a study published online ahead of print April 22 in Neurology. Researchers performed a retrospective chart review of 83 demographically matched patients with autopsy-confirmed frontotemporal lobar degeneration or Alzheimer’s disease. They used linear regression to test for associations among occupational attainment, education, and patient survival. Median survival was 81 months among patients with frontotemporal lobar degeneration and 95 months among patients with Alzheimer’s disease. Years of education and occupational attainment were similar for both groups. Higher occupational attainment was associated with longer survival in frontotemporal lobar degeneration, but not in Alzheimer’s disease. The findings support the theory that education, occupation, and mental activity create cognitive reserve and protect against disease.

Obesity is a major risk factor for the incidence and chronicity of excessive daytime sleepiness (EDS), and weight loss is associated with its remission, according to a study published March 1 in Sleep. Investigators followed up 1,395 people from a random, general population sample of 1,741 participants in the Penn State Adult Cohort after 7.5 years. The incidence of EDS was 8.2%. Of people with EDS, 62% had remission. Significant interactions between depression and polysomnographic parameters on incident EDS showed that in depressed individuals, incident EDS was associated with sleep disturbances. In individuals without depression, incident EDS was associated with increased physiologic sleep propensity. Diabetes, allergy or asthma, anemia, and sleep complaints also predicted EDS. “EDS has huge implications for public health and policy,” stated the researchers.

 

 

Patients with celiac disease have an increased risk of neuropathy, according to a study published online ahead of print May 11 in JAMA Neurology. Between October 27, 2006, and February 12, 2008, researchers collected data on small-intestinal biopsies performed in pathology departments between June 16, 1969, and February 4, 2008. Investigators compared the risk of neuropathy in 28,232 patients with celiac disease with that of 139,473 age- and sex-matched controls. Celiac disease was associated with a 2.5-fold increased risk of subsequent neuropathy. In addition, the investigators found an increased risk of chronic inflammatory demyelinating neuropathy, autonomic neuropathy, and mononeuritis multiplex in patients with celiac disease. They found no association, however, between celiac disease and acute inflammatory demyelinating polyneuropathy. Physicians should screen patients with neuropathy for celiac disease, said the researchers.

A professional life that stimulates verbal intelligence and executive function may help to sustain good cognitive function in people age 75 and older, according to a study published online ahead of print April 29 in Neurology. For the study, 1,054 people age 75 or older underwent the Mini-Mental State Examination every one-and-a-half years for eight years. In multivariate mixed-model analyses, a high level of mentally demanding work tasks stimulating verbal intelligence was significantly associated with better cognitive functioning at baseline and a lower rate of cognitive decline during the eight-year follow-up period, compared with a low level of these tasks. The rate of cognitive decline in old age was also significantly lower in individuals who had a high level of mentally demanding work tasks stimulating executive function.

In Get With the Guidelines-Stroke hospitals, electronic health records are not associated with higher-quality care or better clinical outcomes for stroke care, according to a study published May 12 in Journal of the American College of Cardiology. Researchers studied 626,473 patients from 1,236 US hospitals in Get With the Guidelines-Stroke from 2007 through 2010. They used the American Hospital Association annual survey to determine the presence of electronic health records. Hospitals with electronic health records were larger and were more often teaching hospitals and stroke centers. After controlling for patient and hospital characteristics, patients admitted to hospitals with electronic health records had similar odds of receiving “all-or-none care.” The odds of having a length of stay greater than four days was slightly lower at hospitals with electronic health records.

Off-label use of the Lariat device for left atrial appendage exclusion to prevent stroke in patients with atrial fibrillation entails significant risks of adverse events, according to a study published online ahead of print May 4 in JAMA Internal Medicine. Investigators searched PubMed, EMBASE, CINAHL, and the Cochrane Library from January 2007 through August 2014 to identify all studies reporting use of the Lariat device in three or more patients. They queried the FDA MAUDE database for adverse events reports related to Lariat use. Five reports of Lariat device use in 309 participants were identified. The FDA MAUDE database contained 35 unique reports of adverse events with use of the Lariat device. Among these reports were five adverse event reports that noted pericardial effusion and death and an additional 23 that reported urgent cardiac surgery, but not death.

Insomnia is linked to functional and cognitive impairment among patients with shift work disorder, according to a study published April 15 in Journal of Clinical Sleep Medicine. The analysis included 34 night workers, 26 of whom were diagnosed with shift work disorder. Participants underwent an overnight laboratory protocol including a multiple sleep latency test (MSLT), an event-related brain potential (ERP) task, and various questionnaires. Participants reporting insomnia without sleepiness were the most impaired on the Endicott Work Productivity Scale (EWPS) and significantly more impaired than controls. Participants reporting insomnia and sleepiness were not statistically different from controls. Neither MSLT nor the Epworth Sleepiness Scale correlated with EWPS scores or ERP amplitudes. The mean of the Insomnia Severity Indices measurements, however, correlated with the EWPS.

The measurement of grip strength is a simple, inexpensive risk-stratifying method for all-cause death, cardiovascular death, and cardiovascular disease, according to a study published online ahead of print May 13 in Lancet. In the Prospective Urban-Rural Epidemiology study, researchers enrolled households that each included at least one member between ages 35 and 70. The investigators measured participants’ grip strength with a Jamar dynamometer. Median follow-up was four years. Grip strength was inversely associated with all-cause mortality, cardiovascular mortality, noncardiovascular mortality, myocardial infarction, and stroke. Grip strength was a stronger predictor of all-cause and cardiovascular mortality than systolic blood pressure was. The researchers found no significant association between grip strength and incident diabetes, risk of hospital admission for pneumonia or chronic obstructive pulmonary disease, injury from fall, or fracture.

 

 

Sleep deprivation is particularly problematic for decision-making involving uncertainty and unexpected change, according to a study published in the May issue of Sleep. Twenty-six subjects were randomized to 62 hours of total sleep deprivation or to a control condition. Researchers conducted performance testing at baseline, after two nights of total sleep deprivation or rested control, and following two nights of recovery sleep. Participants performed a decision task that involved initial learning of response sets and subsequent reversal of contingencies. Working memory and psychomotor vigilance tests also were administered. Sleep-deprived subjects had difficulty with initial learning of stimuli sets and profound impairment adapting to reversal. Skin conductance responses to outcome feedback were diminished, indicating blunted affective reactions to feedback accompanying sleep deprivation. Sleep deprivation did not significantly affect working memory scanning performance.

Kimberly Williams

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Exercise-induced anaphylaxis

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Exercise-induced anaphylaxis

Anaphylaxis is a relatively common occurrence for many adolescents. As primary care doctors, we normally see the patient after the acute phase, and then are required to do the detective work to figure out the causes of the episode. The cause may be obvious, but many times we have to hope for another occurrence with similar circumstances to identify it. Surprisingly, the cause may not be what you think. Factors that contribute to an anaphylaxis response may be related to activity, timing of food ingestion, an environmental factor, or medication.

Let’s look at just one type, exercise-induced anaphylaxis. It’s divided into two categories: food dependent and nonfood dependent. Both are described as an induction of itching, urticaria, and fatigue, with progression to angioedema and hypotension, associated with exercise (J. Allergy Clin. Immunol. 1980;66:106-11).

Food-dependent exercise-induced anaphylaxis occurs when exercise is started 30 minutes after ingesting food. This may be difficult to identify because patients react to the food only if they exercise, so food is usually eliminated as a cause. Wheat and wheat flour are common culprits for this type of reaction because of the omega-5 gliadin, which is the protein in gluten (J. Allergy Clin. Immunol. 1991;87:34-40). In one study, larger amounts of the suspected agent were given; hives and angioedema did start to occur in 20% of patients challenged, which suggested that there was likely a baseline allergy to the food, and exercise itself might be a cofactor in augmentation of the allergic reaction.

In nonfood-dependent exercise-induced anaphylaxis, symptoms of itching, urticaria, and fatigue can occur 5-30 minutes after the start of exercise. Although bronchospasm is rare, it can occur along with angioedema, nausea, vomiting, and hypotension, and can even be fatal if exercise continues. If exercise is stopped, it usually resolves. However, many people try to push through it, which only worsens the symptoms.

Cofactors associated with nonfood-dependent exercise-induced anaphylaxis are ingestion of alcohol and an NSAID several hours beforehand. These agents also might be overlooked if well tolerated independently (Br. J. Dermatol. 2001;145:336-9).

Timing of the episode also plays a role. Premenstrual syndrome can be a factor in augmentation of anaphylaxis, so it also should be considered. Knowing the date of the last menstrual cycle and identifying if the anaphylaxis is episodic will identify premenstrual syndrome as a cause.

The work-up should include standard allergy testing and determination of tryptase levels. Skin testing is essential to identify offending agents, and is rarely negative. If a food is suspected and skin testing is negative, repeat the skin testing in 6 months. In one study, wheat extract was found to be positive in only 29% of persons suspected of having a wheat allergy, but when the paste of wheat flour was tested, 80% were identified. The ImmunoCAP Test also was found to have a sensitivity of 80%, so it is a valuable test to try along with the skin prick.

Tryptase levels should be evaluated because in nonfood-dependent exercise-induced anaphylaxis, these levels are slightly elevated at the time of the anaphylaxis, but return to normal. A patient with mastocytosis, a group of disorders characterized by pathologic mast cells infiltrating the skin, will consistently have elevated tryptase levels. Seasonal allergies associated with pollen, and asthma bronchospasm also should be considered as causes.

Although these exercise-induced anaphylaxis episodes can occur at any age, they are most frequent in the adolescent age group, probably because that’s the time most of this population are involved in organized sports. Upon presentation, a careful detailed history will help to identify the cause of anaphylaxis and result in quicker resolution.

Treatment includes avoidance of the offending agent if identified and an antihistamine, and if symptoms do occur, ceasing exercise immediately to avoid a full-blown anaphylactic reaction.

Dr. Pearce is a pediatrician in Frankfort, Ill. E-mail her at [email protected].

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Anaphylaxis is a relatively common occurrence for many adolescents. As primary care doctors, we normally see the patient after the acute phase, and then are required to do the detective work to figure out the causes of the episode. The cause may be obvious, but many times we have to hope for another occurrence with similar circumstances to identify it. Surprisingly, the cause may not be what you think. Factors that contribute to an anaphylaxis response may be related to activity, timing of food ingestion, an environmental factor, or medication.

Let’s look at just one type, exercise-induced anaphylaxis. It’s divided into two categories: food dependent and nonfood dependent. Both are described as an induction of itching, urticaria, and fatigue, with progression to angioedema and hypotension, associated with exercise (J. Allergy Clin. Immunol. 1980;66:106-11).

Food-dependent exercise-induced anaphylaxis occurs when exercise is started 30 minutes after ingesting food. This may be difficult to identify because patients react to the food only if they exercise, so food is usually eliminated as a cause. Wheat and wheat flour are common culprits for this type of reaction because of the omega-5 gliadin, which is the protein in gluten (J. Allergy Clin. Immunol. 1991;87:34-40). In one study, larger amounts of the suspected agent were given; hives and angioedema did start to occur in 20% of patients challenged, which suggested that there was likely a baseline allergy to the food, and exercise itself might be a cofactor in augmentation of the allergic reaction.

In nonfood-dependent exercise-induced anaphylaxis, symptoms of itching, urticaria, and fatigue can occur 5-30 minutes after the start of exercise. Although bronchospasm is rare, it can occur along with angioedema, nausea, vomiting, and hypotension, and can even be fatal if exercise continues. If exercise is stopped, it usually resolves. However, many people try to push through it, which only worsens the symptoms.

Cofactors associated with nonfood-dependent exercise-induced anaphylaxis are ingestion of alcohol and an NSAID several hours beforehand. These agents also might be overlooked if well tolerated independently (Br. J. Dermatol. 2001;145:336-9).

Timing of the episode also plays a role. Premenstrual syndrome can be a factor in augmentation of anaphylaxis, so it also should be considered. Knowing the date of the last menstrual cycle and identifying if the anaphylaxis is episodic will identify premenstrual syndrome as a cause.

The work-up should include standard allergy testing and determination of tryptase levels. Skin testing is essential to identify offending agents, and is rarely negative. If a food is suspected and skin testing is negative, repeat the skin testing in 6 months. In one study, wheat extract was found to be positive in only 29% of persons suspected of having a wheat allergy, but when the paste of wheat flour was tested, 80% were identified. The ImmunoCAP Test also was found to have a sensitivity of 80%, so it is a valuable test to try along with the skin prick.

Tryptase levels should be evaluated because in nonfood-dependent exercise-induced anaphylaxis, these levels are slightly elevated at the time of the anaphylaxis, but return to normal. A patient with mastocytosis, a group of disorders characterized by pathologic mast cells infiltrating the skin, will consistently have elevated tryptase levels. Seasonal allergies associated with pollen, and asthma bronchospasm also should be considered as causes.

Although these exercise-induced anaphylaxis episodes can occur at any age, they are most frequent in the adolescent age group, probably because that’s the time most of this population are involved in organized sports. Upon presentation, a careful detailed history will help to identify the cause of anaphylaxis and result in quicker resolution.

Treatment includes avoidance of the offending agent if identified and an antihistamine, and if symptoms do occur, ceasing exercise immediately to avoid a full-blown anaphylactic reaction.

Dr. Pearce is a pediatrician in Frankfort, Ill. E-mail her at [email protected].

Anaphylaxis is a relatively common occurrence for many adolescents. As primary care doctors, we normally see the patient after the acute phase, and then are required to do the detective work to figure out the causes of the episode. The cause may be obvious, but many times we have to hope for another occurrence with similar circumstances to identify it. Surprisingly, the cause may not be what you think. Factors that contribute to an anaphylaxis response may be related to activity, timing of food ingestion, an environmental factor, or medication.

Let’s look at just one type, exercise-induced anaphylaxis. It’s divided into two categories: food dependent and nonfood dependent. Both are described as an induction of itching, urticaria, and fatigue, with progression to angioedema and hypotension, associated with exercise (J. Allergy Clin. Immunol. 1980;66:106-11).

Food-dependent exercise-induced anaphylaxis occurs when exercise is started 30 minutes after ingesting food. This may be difficult to identify because patients react to the food only if they exercise, so food is usually eliminated as a cause. Wheat and wheat flour are common culprits for this type of reaction because of the omega-5 gliadin, which is the protein in gluten (J. Allergy Clin. Immunol. 1991;87:34-40). In one study, larger amounts of the suspected agent were given; hives and angioedema did start to occur in 20% of patients challenged, which suggested that there was likely a baseline allergy to the food, and exercise itself might be a cofactor in augmentation of the allergic reaction.

In nonfood-dependent exercise-induced anaphylaxis, symptoms of itching, urticaria, and fatigue can occur 5-30 minutes after the start of exercise. Although bronchospasm is rare, it can occur along with angioedema, nausea, vomiting, and hypotension, and can even be fatal if exercise continues. If exercise is stopped, it usually resolves. However, many people try to push through it, which only worsens the symptoms.

Cofactors associated with nonfood-dependent exercise-induced anaphylaxis are ingestion of alcohol and an NSAID several hours beforehand. These agents also might be overlooked if well tolerated independently (Br. J. Dermatol. 2001;145:336-9).

Timing of the episode also plays a role. Premenstrual syndrome can be a factor in augmentation of anaphylaxis, so it also should be considered. Knowing the date of the last menstrual cycle and identifying if the anaphylaxis is episodic will identify premenstrual syndrome as a cause.

The work-up should include standard allergy testing and determination of tryptase levels. Skin testing is essential to identify offending agents, and is rarely negative. If a food is suspected and skin testing is negative, repeat the skin testing in 6 months. In one study, wheat extract was found to be positive in only 29% of persons suspected of having a wheat allergy, but when the paste of wheat flour was tested, 80% were identified. The ImmunoCAP Test also was found to have a sensitivity of 80%, so it is a valuable test to try along with the skin prick.

Tryptase levels should be evaluated because in nonfood-dependent exercise-induced anaphylaxis, these levels are slightly elevated at the time of the anaphylaxis, but return to normal. A patient with mastocytosis, a group of disorders characterized by pathologic mast cells infiltrating the skin, will consistently have elevated tryptase levels. Seasonal allergies associated with pollen, and asthma bronchospasm also should be considered as causes.

Although these exercise-induced anaphylaxis episodes can occur at any age, they are most frequent in the adolescent age group, probably because that’s the time most of this population are involved in organized sports. Upon presentation, a careful detailed history will help to identify the cause of anaphylaxis and result in quicker resolution.

Treatment includes avoidance of the offending agent if identified and an antihistamine, and if symptoms do occur, ceasing exercise immediately to avoid a full-blown anaphylactic reaction.

Dr. Pearce is a pediatrician in Frankfort, Ill. E-mail her at [email protected].

References

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Fatigue after depression responds to therapy. What are the next steps?

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Fatigue after depression responds to therapy. What are the next steps?

Fatigue and depression can be viewed as a “vicious cycle”: Fatigue can be a symptom of major depression, and fatigue can be a risk factor for depression.1 For example, fatigue associated with a general medical condition or traumatic brain injury can be a risk factor for developing major depressive disorder (MDD).1-3 It isn’t surprising that fatigue has been studied as a predictor of relapse after previous response to treatment in patients with MDD.

Despite the observed association between fatigue and depression, their underlying relationship often is unclear. The literature does not differentiate among fatigue associated with depression, fatigue as a treatment-emergent adverse effect, and fatigue as a residual symptom of depression that is partially responsive to treatment.4,5 To complicate the situation, many medications used to treat MDD can cause fatigue.

Patients often describe fatigue as (1) feeling tired, exhausted, or drained and (2) lacking energy and motivation. Fatigue can be related to impaired wakefulness but is believed to be a different entity than sleepiness.6 Residual fatigue can affect social, cognitive, emotional, and physical health.

We reviewed the literature about fatigue as a symptom of MDD by conducting a search of Medline, PubMed, and Google Scholar, using keywords depression, fatigue, residual symptoms, and treatment. We chose the papers cited in this article based on our consensus and because these publications represent expert opinion or the highest quality evi­dence available.


Residual fatigue has an effect on prognosis

Fatigue is a common symptom of MDD that persists in 20% to 30% of patients whose symptoms of depression otherwise remit.4,7-9 Several studies have linked residual fatigue with the overall prognosis of MDD.5 Data from a prospective study demonstrate that depressed patients have a higher risk of relapse when they continue to report symp­toms of fatigue after their symptoms of depression have otherwise entered partial remission.10 Another study demonstrated that the severity of residual symptoms of depression is a strong predictor of another major depressive episode.11

In a large-scale study, the prevalence of residual fatigue after adequate treat­ment of MDD in both partial responders and remitters was 84.6%.12 The same study showed that one-third of patients who had been treated for MDD had persistent and clinically significant fatigue, which could suggest a relationship between fatigue and selective serotonin reuptake inhibitors (SSRIs) and other antidepressants.

Another study demonstrated that 64.6% of patients who responded to antidepressant treatment and who had baseline fatigue con­tinued to exhibit symptoms of fatigue after an adequate trial of an antidepressant.13


Neurobiological considerations
Studies have shown that the neuronal circuits that malfunction in fatigue are different from those that malfunction in depression.14 Although the neurobiol­ogy of fatigue has not been determined, decreased neuronal activity in the prefron­tal circuits has been associated with symp­toms of fatigue.15

In addition, evidence from the litera­ture shows a decrease in hormone secre­tion16 and cognitive abilities in patients exhibiting symptoms of fatigue.17 These findings have led some experts to hypoth­esize that symptoms of fatigue associated with depression could be the result of (1) immune dysregulation18 and (2) an inability of available antidepressants to tar­get the underlying biology of the disorder.2

Despite the hypothesis that fatigue asso­ciated with depression might be biologically related to immune dysregulation, some authors continue to point to an imbalance in neurotransmitters—norepinephrine, his­tamine, dopamine, acetylcholine—as being  associated with fatigue.14 For example, a study demonstrated that drugs targeting noradrenergic reuptake inhibition were more effective at preventing a relapse of fatigue compared with serotonergic drugs.19 Another study showed improvement in energy with an increase in the plasma level of desipramine, which affects noradrener­gic neurotransmission.20

Inflammatory cytokines also have been explored in the search for an understand­ing of the etiology of fatigue and depres­sion.21 Physical and mental stress promote the release of cytokines, which activate the immune system by inducing an inflam­matory response; this response has been etiologically linked to depressive disor­ders.22 Furthermore, studies have demon­strated an elevated level of inflammatory cytokines in patients who have MDD— suggesting that MDD is associated with a chronic low level of inflammation that crosses the blood−brain barrier.23


Clinical considerations: A role for rating scales?

Despite the significance of residual fatigue on the quality of life of patients who have MDD, most common rating scales, such as the Hamilton Depression Rating Scale24 and the Montgomery-Åsberg Depression Rating Scale,25 have limited sensitivity for measuring fatigue.26 The Fatigue Associated with Depression (FAsD)27 questionnaire, designed according to FDA guidelines,28 is used to assess fatigue associated with depression. The final version of the FAsD includes 13 items: a 6-item experience sub­scale and a 7-item impact subscale.

Is the FAsD helpful? The experience sub­scale of the FAsD assesses how often the patient experiences different aspects of fatigue (tiredness, exhaustion, lack of energy, physical weakness, and a feeling that everything requires too much effort). The impact subscale of the FAsD assesses the effect of fatigue on daily life.

 

 

The overall FAsD score is calculated by taking the mean of each subscale; a change of 0.67 on the experience subscale and 0.57 on the impact subscale are considered clini­cally meaningful.27 The measurement prop­erties of the questionnaire showed internal consistency, reliability, and validity in test­ing. Researchers note, however, that FAsD does not include items to assess the impact of fatigue on cognition. This means that the FAsD might not distinguish between physi­cal and mental aspects of fatigue.


Treatment

It isn’t surprising that residual depres­sion can increase health care utilization and economic burden, including such indirect costs as lost productivity and wages.29 Despite these impacts, there is a paucity of studies evaluating the relation­ship between residual symptoms, such as fatigue, and work productivity. It has been established that improving a depressed patient’s level of energy correlates with improved performance at work.

Treating fatigue as a residual symp­tom of MDD can be complicated because symptoms of fatigue might be:
   • a discrete symptom of MDD
   • a prodromal symptom of another disorder
   • an adverse effect of an antidepressant.2,30

It is a major clinical problem, there­fore, that antidepressants can alleviate and cause symptoms of fatigue.31 Treatment strategy should focus on identifying anti­depressants that are less likely to cause fatigue (ie, noradrenergic or dopaminergic drugs, or both). Adjunctive treatments to target residual fatigue also can be used.32

There are limited published data on the effective treatment of residual fatigue in patients with MDD. Given the absence of sufficient evidence, agents that promote noradrenergic and dopaminergic neuro­transmission have been the treatment of choice when targeting fatigue in depressed patients.2,14,21,33

The Table34-37 lists poten­tial treatment options often used to treat fatigue associated with depression.


SSRIs.
Treatment with SSRIs has been asso­ciated with a low probability of achiev­ing remission when targeting fatigue as a symptom of MDD.21

One study reported that, after 8 weeks of treatment with an SSRI, treatment-emergent adverse events, such as worsening fatigue and weakness, were observed—along with an overall lack of efficacy in targeting all symptoms of depression.38

Another study demonstrated positive effects when a noradrenergic agent was added to an SSRI in partial responders who continued to complain of residual fatigue.33

However, studies that compared the effects of SSRIs with those of antidepres­sants that have pronoradrenergic effects showed that the 2 mechanisms of action were not significantly different from each other in their ability to resolve residual symptoms of fatigue.21 A limiting factor might be that these studies were retrospec­tive and did not analyze the efficacy of a noradrenergic agent as an adjunct for alle­viating symptoms of fatigue.39

Bupropion. This commonly used medica­tion for fatigue is believed to cause a sig­nificantly lower level of fatigue compared with SSRIs.40 The potential utility of bupro­pion in this area could be a reflection of its mechanism of action—ie, the drug targets both noradrenergic and dopaminergic neurotransmission.41

A study comparing bupropion with SSRIs in targeting somatic symptoms of depression reported a small but statisti­cally significant difference in favor of the bupropion-treated group. However, this finding was confounded by the small effect size and difficulty quantifying somatic symptoms.40

Stimulants and modafinil. Psycho-stimulants have been shown to be effica­cious for depression and fatigue, both as monotherapy and adjunctively.39,42

Modafinil has demonstrated efficacy in open-label trials for improving residual fatigue, but failed to separate from pla­cebo in controlled trials.43 At least 1 other failed study has been published examining modafinil as a treatment for fatigue associ­ated with depression.43

Adjunctive therapy with CNS stimu­lants, such as amphetamine/dextroam­phetamine and methylphenidate, has been used to treat fatigue, with positive results.16 Modafinil and stimulants also could be tried as an augmentation strategy to other antidepressants; such use is off-label and should be attempted only after careful consideration.16

Exercise might be a nonpharmacothera­peutic modality that targets the underly­ing physiology associated with fatigue. Exercise releases endorphins, which can affect overall brain chemistry and which have been theorized to diminish symp­toms of fatigue and depression.44 Consider exercise in addition to treatment with an antidepressant in selected patients.45


To sum up

In general, the literature does not recom­mend one medication as superior to any other for treating fatigue that is a residual symptom of depression. Such hesitation suggests that more empirical studies are needed to determine what is the best and proper management of treating fatigue associated with depression.


Bottom LinE
Fatigue can be a symptom of major depressive disorder (MDD) or a risk factor for depression. Fatigue has been studied as a predictor of relapse after previous response to treatment in patients with MDD. Residual fatigue can affect social, cognitive, emotional, and physical health and can result in increased utilization of health care services. A number of treatment options are available; none has been shown to be superior to the others.

 

 


Related Resources

• Leone SS. A disabling combination: fatigue and depression. Br J Psychiatry. 2010;197(2):86-87.
• Targum SD, Fava M. Fatigue as a residual symptom of de­pression. Innov Clin Neurosci. 2011;8(10):40-43.
• Illiades C. How to fight depression fatigue. Everyday Health. http://www.everydayhealth.com/health-report/major-depression-living-well/fight-depression-fatigue.aspx.
• Kerr M. Depression and fatigue: a vicious cycle. Healthline. http://www.healthline.com/health/depression/fatigue.


Drug Brand Names

Amphetamine/dextroamphetamine • Adderall              
Bupropion • Wellbutrin                                                
Desipramine • Norpramin                                           
Methylphenidate • Ritalin
Modafinil • Provigil
Sertraline • Zoloft
Venlafaxine • Effexor

Disclosures
Dr. Sohail reports no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.

Dr. Macaluso has conducted clinical trials research as principal investigator for the following pharmaceutical manufacturers in the past 12 months: AbbVie, Inc.; Alkermes; AssureRx Health, Inc.; Eisai Co., Ltd.; FORUM Pharmaceuticals, Inc.; Janssen Pharmaceuticals, Inc.; and Naurex Inc. All clinical trial and study contracts were with, and payments were made to, University of Kansas Medical Center Research Institute, Kansas City, Kansas, a research institute affiliated with University of Kansas School of Medicine−Wichita.

References


1. Schönberger M, Herrberg M, Ponsford J. Fatigue as a cause, not a consequence of depression and daytime sleepiness: a cross-lagged analysis. J Head Trauma Rehabil. 2014;29(5):427-431.
2. Demyttenaere K, De Fruyt J, Stahl, SM. The many faces of fatigue in major depressive disorder. Int J Neuropsychopharmacol. 2005;8(1):93-105.
3. Skapinakis P, Lewis G, Mavreas V. Temporal relations between unexplained fatigue and depression: longitudinal data from an international study in primary care. Psychosom Med. 2004;66(3):330-335.
4. Nierenberg AA, Husain MM, Trivedi MH, et al. Residual symptoms after remission of major depressive disorder with citalopram and risk of relapse: a STAR*D report. Psychol Med. 2010;40(1):41-50.
5. Kennedy N, Paykel ES. Residual symptoms at remission from depression: impact on long-term outcome. J Affect Disord. 2004;80(2-3):135-144.
6. Shen J, Barbera J, Shapiro CM. Distinguishing sleepiness and fatigue: focus on definition and measurement. Sleep Med Rev. 2006;10:63-76.
7. Nierenberg AA, Keefe BR, Leslie VC, et al. Residual symptoms in depressed patients who respond acutely to fluoxetine. J Clin Psychiatry. 1999;60(4):221-225.
8. Tylee A, Gastpar M, Lépine JP, et al. DEPRES II (Depression Research in European Society II): a patient survey of the symptoms, disability and current management of depression in the community. DEPRES Steering Committee. Int Clin Psychopharmacol. 1999;14(3):139-151.
9. Marcus SM, Young EA, Kerber KB, et al. Gender differences in depression: findings from the STAR*D study. J Affect Disord. 2005;87(2-3):141-150.
10. Paykel ES, Ramana, R, Cooper Z, et al. Residual symptoms after partial remission: an important outcome in depression. Psychol Med. 1995;25(6):1171-1180.
11. Bockting CL, Spinhoven P, Koeter MW, et al; Depression Evaluation Longitudinal Therapy Assessment Study Group. Prediction of recurrence in recurrent depression and the influence of consecutive episodes on vulnerability for depression: a 2-year prospective study. J Clin Psychiatry. 2006;67(5):747-755.
12. Greco T, Eckert G, Kroenke K. The outcome of physical symptoms with treatment of depression. J Gen Intern Med. 2004;19(8):813-818.
13. McClintock SM, Husain MM, Wisniewski SR, et al. Residual symptoms in depressed outpatients who respond by 50% but do not remit to antidepressant medication. J Clin Psychopharmacol. 2011;31(2):180-186.
14. Stahl SM, Zhang L, Damatarca C, et al. Brain circuits determine destiny in depression: a novel approach to the psychopharmacology of wakefulness, fatigue, and executive dysfunction in major depressive disorder. J Clin Psychiatry. 2003;64(suppl 14):6-17.
15. MacHale SM, Law´rie SM, Cavanagh JT, et al. Cerebral perfusion in chronic fatigue syndrome and depression. Br J Psychiatry. 2000;176:550-556.
16. Paykel ES. Achieving gains beyond response. Acta Psychiatrica Scandinavica Suppl. 2002;(415):12-17.
17. van den Heuvel OA, Groenewegen HJ, Barkhof F, et al. Frontostriatal system in planning complexity: a parametric functional magnetic resonance version of Tower of London task. Neuroimage. 2003;18(2):367-374.
18. Jaremka LM, Fagundes CP, Glaser R, et al. Loneliness predicts pain, depression, and fatigue: understanding the role of immune dysregulation. Psychoneuroendocrinology. 2013;38(8):1310-1317.
19. Delgado PL, Charney DS, Price LH, et al. Serotonin function and the mechanism of antidepressant action. Reversal of antidepressant-induced remission by rapid depletion of plasma tryptophan. Arch Gen Psychiatry. 1990;47(5):411-418.
20. Nelson JC, Mazure C, Quinlan DM, et al. Drug-responsive symptoms in melancholia. Arch Gen Psychiatry. 1984;41(7):663-668.
21. Fava M, Ball S, Nelson, JC, et al. Clinical relevance of fatigue as a residual symptom in major depressive disorder. Depress Anxiety. 2014;31(3):250-257.
22. Anisman H, Merali Z, Poulter MO, et al. Cytokines as a precipitant of depressive illness: animal and human studies. Curr Pharm Des. 2005;11(8):963-972.
23. Simon NM, McNamara K, Chow CW, et al. A detailed examination of cytokine abnormalities in major depressive disorder. Eur Neuropsychopharmacol. 2008;18(3):230-233.
24. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23:56-62.
25. Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979;134:382-389.
26. Matza LS, Phillips GA, Revicki DA, et al. Development and validation of a patient-report measure of fatigue associated with depression. J Affect Disord. 2011;134(1-3):294-303.
27. Matza LS, Wyrwich KW, Phillips GA, et al. The Fatigue Associated with Depression Questionnaire (FAsD): responsiveness and responder definition. Qual Life Res. 2013;22(2):351-360.
28. Guidance for industry. Patient-reported outcome measures: use in medical product development to support labeling claims. Food and Drug Administration. http://www.fda. gov/downloads/Drugs/Guidances/UCM193282.pdf. Published December 2009. Accessed May 7, 2015.
29. Knoth RL, Bolge SC, Kim E, et al. Effect of inadequate response to treatment in patients with depression. Am J Manag Care. 2010;16(8):e188-e196.
30. Fava M. Symptoms of fatigue and cognitive/executive dysfunction in major depressive disorder before and after antidepressant treatment. J Clin Psychiatry. 2003;64(suppl 14):30-34.
31. Chang T, Fava M. The future of psychopharmacology of depression. J Clin Psychiatry. 2010;71(8):971-975.
32. Baldwin DS, Papakostas GI. Symptoms of fatigue and sleepiness in major depressive disorder. J Clin Psychiatry. 2006;67(suppl 6):9-15.
33. Ball SG, Dellva MA, D’Souza D, et al. A double-blind, placebo-controlled study of augmentation with LY2216684 for major depressive disorder patients who are partial responders to selective serotonin reuptake inhibitors [abstract P 05]. Int J Psych Clin Pract. 2010;14(suppl 1):19.
34. Stahl SM. Using secondary binding properties to select a not so elective serotonin reuptake inhibitor. J Clin Psychiatry. 1998;59(12):642-643.
35. Stahl SM. Essential psychopharmacology: neuroscientific basis and practical applications. 2nd ed. New York, NY: Cambridge University Press; 2000.
36. Bymaster FP, Katner JS, Nelson DL, et al. Atomoxetine increases extracellular levels of norepinephrine and dopamine in prefrontal cortex of rat: a potential mechanism for efficacy in attention deficit/hyperactivity disorder. Neuropsychopharmacology. 2002;27(5):699-711.
37. Scammell TE, Estabrooke IV, McCarthy MT, et al. Hypothalamic arousal regions are activated during modafinil-induced wakefulness. J Neurosci. 2000;20(22):8620-8628.
38. Daly EJ, Trivedi MH, Fava M, et al. The relationship between adverse events during selective serotonin reuptake inhibitor treatment for major depressive disorder and nonremission in the suicide assessment methodology study. J Clin Psychopharmacol. 2011;31(1):31-38.
39. Nelson JC. A review of the efficacy of serotonergic and noradrenergic reuptake inhibitors for treatment of major depression. Biol Psychiatry. 1999;46(9):1301-1308.
40. Papakostas GI, Nutt DJ, Hallett LA, et al. Resolution of sleepiness and fatigue in major depressive disorder: a comparison of bupropion and the selective serotonin reuptake inhibitors. Biol Psychiatry. 2006;60(12):1350-1355.
41. Fava M, Rush AJ, Thase ME, et al. 15 years of clinical experience with bupropion HCl: from bupropion to bupropion SR to bupropion XL. Prim Care Companion J Clin Psychiatry. 2005;7(3):106-113.
42. Candy M, Jones CB, Williams R, et al. Psychostimulants for depression. Cochrane Database Syst Rev. 2008;(2):CD006722. doi: 10.1002/14651858.CD006722.pub2.
43. Lam JY, Freeman MK, Cates ME. Modafinil augmentation for residual symptoms of fatigue in patients with a partial response to antidepressants. Ann Pharmacother. 2007;41(6):1005-1012.
44. Salmon P. Effects of physical exercise on anxiety, depression, and sensitivity to stress: a unifying theory. Clinical Psychol Rev. 2001;21(1):33-61.
45. Trivedi MH, Greer TL, Grannemann BD, et al. Exercise as an augmentation strategy for treatment of major depression. J Psychiatr Pract. 2006;12(4):205-213.

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Matthew Macaluso, DO
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Director of Clinical Trials Research

Department of Psychiatry and Behavioral Sciences
University of Kansas School of Medicine−Wichita
Wichita, Kansas

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Wichita, Kansas

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Matthew Macaluso, DO
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University of Kansas School of Medicine−Wichita
Wichita, Kansas

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Fatigue and depression can be viewed as a “vicious cycle”: Fatigue can be a symptom of major depression, and fatigue can be a risk factor for depression.1 For example, fatigue associated with a general medical condition or traumatic brain injury can be a risk factor for developing major depressive disorder (MDD).1-3 It isn’t surprising that fatigue has been studied as a predictor of relapse after previous response to treatment in patients with MDD.

Despite the observed association between fatigue and depression, their underlying relationship often is unclear. The literature does not differentiate among fatigue associated with depression, fatigue as a treatment-emergent adverse effect, and fatigue as a residual symptom of depression that is partially responsive to treatment.4,5 To complicate the situation, many medications used to treat MDD can cause fatigue.

Patients often describe fatigue as (1) feeling tired, exhausted, or drained and (2) lacking energy and motivation. Fatigue can be related to impaired wakefulness but is believed to be a different entity than sleepiness.6 Residual fatigue can affect social, cognitive, emotional, and physical health.

We reviewed the literature about fatigue as a symptom of MDD by conducting a search of Medline, PubMed, and Google Scholar, using keywords depression, fatigue, residual symptoms, and treatment. We chose the papers cited in this article based on our consensus and because these publications represent expert opinion or the highest quality evi­dence available.


Residual fatigue has an effect on prognosis

Fatigue is a common symptom of MDD that persists in 20% to 30% of patients whose symptoms of depression otherwise remit.4,7-9 Several studies have linked residual fatigue with the overall prognosis of MDD.5 Data from a prospective study demonstrate that depressed patients have a higher risk of relapse when they continue to report symp­toms of fatigue after their symptoms of depression have otherwise entered partial remission.10 Another study demonstrated that the severity of residual symptoms of depression is a strong predictor of another major depressive episode.11

In a large-scale study, the prevalence of residual fatigue after adequate treat­ment of MDD in both partial responders and remitters was 84.6%.12 The same study showed that one-third of patients who had been treated for MDD had persistent and clinically significant fatigue, which could suggest a relationship between fatigue and selective serotonin reuptake inhibitors (SSRIs) and other antidepressants.

Another study demonstrated that 64.6% of patients who responded to antidepressant treatment and who had baseline fatigue con­tinued to exhibit symptoms of fatigue after an adequate trial of an antidepressant.13


Neurobiological considerations
Studies have shown that the neuronal circuits that malfunction in fatigue are different from those that malfunction in depression.14 Although the neurobiol­ogy of fatigue has not been determined, decreased neuronal activity in the prefron­tal circuits has been associated with symp­toms of fatigue.15

In addition, evidence from the litera­ture shows a decrease in hormone secre­tion16 and cognitive abilities in patients exhibiting symptoms of fatigue.17 These findings have led some experts to hypoth­esize that symptoms of fatigue associated with depression could be the result of (1) immune dysregulation18 and (2) an inability of available antidepressants to tar­get the underlying biology of the disorder.2

Despite the hypothesis that fatigue asso­ciated with depression might be biologically related to immune dysregulation, some authors continue to point to an imbalance in neurotransmitters—norepinephrine, his­tamine, dopamine, acetylcholine—as being  associated with fatigue.14 For example, a study demonstrated that drugs targeting noradrenergic reuptake inhibition were more effective at preventing a relapse of fatigue compared with serotonergic drugs.19 Another study showed improvement in energy with an increase in the plasma level of desipramine, which affects noradrener­gic neurotransmission.20

Inflammatory cytokines also have been explored in the search for an understand­ing of the etiology of fatigue and depres­sion.21 Physical and mental stress promote the release of cytokines, which activate the immune system by inducing an inflam­matory response; this response has been etiologically linked to depressive disor­ders.22 Furthermore, studies have demon­strated an elevated level of inflammatory cytokines in patients who have MDD— suggesting that MDD is associated with a chronic low level of inflammation that crosses the blood−brain barrier.23


Clinical considerations: A role for rating scales?

Despite the significance of residual fatigue on the quality of life of patients who have MDD, most common rating scales, such as the Hamilton Depression Rating Scale24 and the Montgomery-Åsberg Depression Rating Scale,25 have limited sensitivity for measuring fatigue.26 The Fatigue Associated with Depression (FAsD)27 questionnaire, designed according to FDA guidelines,28 is used to assess fatigue associated with depression. The final version of the FAsD includes 13 items: a 6-item experience sub­scale and a 7-item impact subscale.

Is the FAsD helpful? The experience sub­scale of the FAsD assesses how often the patient experiences different aspects of fatigue (tiredness, exhaustion, lack of energy, physical weakness, and a feeling that everything requires too much effort). The impact subscale of the FAsD assesses the effect of fatigue on daily life.

 

 

The overall FAsD score is calculated by taking the mean of each subscale; a change of 0.67 on the experience subscale and 0.57 on the impact subscale are considered clini­cally meaningful.27 The measurement prop­erties of the questionnaire showed internal consistency, reliability, and validity in test­ing. Researchers note, however, that FAsD does not include items to assess the impact of fatigue on cognition. This means that the FAsD might not distinguish between physi­cal and mental aspects of fatigue.


Treatment

It isn’t surprising that residual depres­sion can increase health care utilization and economic burden, including such indirect costs as lost productivity and wages.29 Despite these impacts, there is a paucity of studies evaluating the relation­ship between residual symptoms, such as fatigue, and work productivity. It has been established that improving a depressed patient’s level of energy correlates with improved performance at work.

Treating fatigue as a residual symp­tom of MDD can be complicated because symptoms of fatigue might be:
   • a discrete symptom of MDD
   • a prodromal symptom of another disorder
   • an adverse effect of an antidepressant.2,30

It is a major clinical problem, there­fore, that antidepressants can alleviate and cause symptoms of fatigue.31 Treatment strategy should focus on identifying anti­depressants that are less likely to cause fatigue (ie, noradrenergic or dopaminergic drugs, or both). Adjunctive treatments to target residual fatigue also can be used.32

There are limited published data on the effective treatment of residual fatigue in patients with MDD. Given the absence of sufficient evidence, agents that promote noradrenergic and dopaminergic neuro­transmission have been the treatment of choice when targeting fatigue in depressed patients.2,14,21,33

The Table34-37 lists poten­tial treatment options often used to treat fatigue associated with depression.


SSRIs.
Treatment with SSRIs has been asso­ciated with a low probability of achiev­ing remission when targeting fatigue as a symptom of MDD.21

One study reported that, after 8 weeks of treatment with an SSRI, treatment-emergent adverse events, such as worsening fatigue and weakness, were observed—along with an overall lack of efficacy in targeting all symptoms of depression.38

Another study demonstrated positive effects when a noradrenergic agent was added to an SSRI in partial responders who continued to complain of residual fatigue.33

However, studies that compared the effects of SSRIs with those of antidepres­sants that have pronoradrenergic effects showed that the 2 mechanisms of action were not significantly different from each other in their ability to resolve residual symptoms of fatigue.21 A limiting factor might be that these studies were retrospec­tive and did not analyze the efficacy of a noradrenergic agent as an adjunct for alle­viating symptoms of fatigue.39

Bupropion. This commonly used medica­tion for fatigue is believed to cause a sig­nificantly lower level of fatigue compared with SSRIs.40 The potential utility of bupro­pion in this area could be a reflection of its mechanism of action—ie, the drug targets both noradrenergic and dopaminergic neurotransmission.41

A study comparing bupropion with SSRIs in targeting somatic symptoms of depression reported a small but statisti­cally significant difference in favor of the bupropion-treated group. However, this finding was confounded by the small effect size and difficulty quantifying somatic symptoms.40

Stimulants and modafinil. Psycho-stimulants have been shown to be effica­cious for depression and fatigue, both as monotherapy and adjunctively.39,42

Modafinil has demonstrated efficacy in open-label trials for improving residual fatigue, but failed to separate from pla­cebo in controlled trials.43 At least 1 other failed study has been published examining modafinil as a treatment for fatigue associ­ated with depression.43

Adjunctive therapy with CNS stimu­lants, such as amphetamine/dextroam­phetamine and methylphenidate, has been used to treat fatigue, with positive results.16 Modafinil and stimulants also could be tried as an augmentation strategy to other antidepressants; such use is off-label and should be attempted only after careful consideration.16

Exercise might be a nonpharmacothera­peutic modality that targets the underly­ing physiology associated with fatigue. Exercise releases endorphins, which can affect overall brain chemistry and which have been theorized to diminish symp­toms of fatigue and depression.44 Consider exercise in addition to treatment with an antidepressant in selected patients.45


To sum up

In general, the literature does not recom­mend one medication as superior to any other for treating fatigue that is a residual symptom of depression. Such hesitation suggests that more empirical studies are needed to determine what is the best and proper management of treating fatigue associated with depression.


Bottom LinE
Fatigue can be a symptom of major depressive disorder (MDD) or a risk factor for depression. Fatigue has been studied as a predictor of relapse after previous response to treatment in patients with MDD. Residual fatigue can affect social, cognitive, emotional, and physical health and can result in increased utilization of health care services. A number of treatment options are available; none has been shown to be superior to the others.

 

 


Related Resources

• Leone SS. A disabling combination: fatigue and depression. Br J Psychiatry. 2010;197(2):86-87.
• Targum SD, Fava M. Fatigue as a residual symptom of de­pression. Innov Clin Neurosci. 2011;8(10):40-43.
• Illiades C. How to fight depression fatigue. Everyday Health. http://www.everydayhealth.com/health-report/major-depression-living-well/fight-depression-fatigue.aspx.
• Kerr M. Depression and fatigue: a vicious cycle. Healthline. http://www.healthline.com/health/depression/fatigue.


Drug Brand Names

Amphetamine/dextroamphetamine • Adderall              
Bupropion • Wellbutrin                                                
Desipramine • Norpramin                                           
Methylphenidate • Ritalin
Modafinil • Provigil
Sertraline • Zoloft
Venlafaxine • Effexor

Disclosures
Dr. Sohail reports no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.

Dr. Macaluso has conducted clinical trials research as principal investigator for the following pharmaceutical manufacturers in the past 12 months: AbbVie, Inc.; Alkermes; AssureRx Health, Inc.; Eisai Co., Ltd.; FORUM Pharmaceuticals, Inc.; Janssen Pharmaceuticals, Inc.; and Naurex Inc. All clinical trial and study contracts were with, and payments were made to, University of Kansas Medical Center Research Institute, Kansas City, Kansas, a research institute affiliated with University of Kansas School of Medicine−Wichita.

Fatigue and depression can be viewed as a “vicious cycle”: Fatigue can be a symptom of major depression, and fatigue can be a risk factor for depression.1 For example, fatigue associated with a general medical condition or traumatic brain injury can be a risk factor for developing major depressive disorder (MDD).1-3 It isn’t surprising that fatigue has been studied as a predictor of relapse after previous response to treatment in patients with MDD.

Despite the observed association between fatigue and depression, their underlying relationship often is unclear. The literature does not differentiate among fatigue associated with depression, fatigue as a treatment-emergent adverse effect, and fatigue as a residual symptom of depression that is partially responsive to treatment.4,5 To complicate the situation, many medications used to treat MDD can cause fatigue.

Patients often describe fatigue as (1) feeling tired, exhausted, or drained and (2) lacking energy and motivation. Fatigue can be related to impaired wakefulness but is believed to be a different entity than sleepiness.6 Residual fatigue can affect social, cognitive, emotional, and physical health.

We reviewed the literature about fatigue as a symptom of MDD by conducting a search of Medline, PubMed, and Google Scholar, using keywords depression, fatigue, residual symptoms, and treatment. We chose the papers cited in this article based on our consensus and because these publications represent expert opinion or the highest quality evi­dence available.


Residual fatigue has an effect on prognosis

Fatigue is a common symptom of MDD that persists in 20% to 30% of patients whose symptoms of depression otherwise remit.4,7-9 Several studies have linked residual fatigue with the overall prognosis of MDD.5 Data from a prospective study demonstrate that depressed patients have a higher risk of relapse when they continue to report symp­toms of fatigue after their symptoms of depression have otherwise entered partial remission.10 Another study demonstrated that the severity of residual symptoms of depression is a strong predictor of another major depressive episode.11

In a large-scale study, the prevalence of residual fatigue after adequate treat­ment of MDD in both partial responders and remitters was 84.6%.12 The same study showed that one-third of patients who had been treated for MDD had persistent and clinically significant fatigue, which could suggest a relationship between fatigue and selective serotonin reuptake inhibitors (SSRIs) and other antidepressants.

Another study demonstrated that 64.6% of patients who responded to antidepressant treatment and who had baseline fatigue con­tinued to exhibit symptoms of fatigue after an adequate trial of an antidepressant.13


Neurobiological considerations
Studies have shown that the neuronal circuits that malfunction in fatigue are different from those that malfunction in depression.14 Although the neurobiol­ogy of fatigue has not been determined, decreased neuronal activity in the prefron­tal circuits has been associated with symp­toms of fatigue.15

In addition, evidence from the litera­ture shows a decrease in hormone secre­tion16 and cognitive abilities in patients exhibiting symptoms of fatigue.17 These findings have led some experts to hypoth­esize that symptoms of fatigue associated with depression could be the result of (1) immune dysregulation18 and (2) an inability of available antidepressants to tar­get the underlying biology of the disorder.2

Despite the hypothesis that fatigue asso­ciated with depression might be biologically related to immune dysregulation, some authors continue to point to an imbalance in neurotransmitters—norepinephrine, his­tamine, dopamine, acetylcholine—as being  associated with fatigue.14 For example, a study demonstrated that drugs targeting noradrenergic reuptake inhibition were more effective at preventing a relapse of fatigue compared with serotonergic drugs.19 Another study showed improvement in energy with an increase in the plasma level of desipramine, which affects noradrener­gic neurotransmission.20

Inflammatory cytokines also have been explored in the search for an understand­ing of the etiology of fatigue and depres­sion.21 Physical and mental stress promote the release of cytokines, which activate the immune system by inducing an inflam­matory response; this response has been etiologically linked to depressive disor­ders.22 Furthermore, studies have demon­strated an elevated level of inflammatory cytokines in patients who have MDD— suggesting that MDD is associated with a chronic low level of inflammation that crosses the blood−brain barrier.23


Clinical considerations: A role for rating scales?

Despite the significance of residual fatigue on the quality of life of patients who have MDD, most common rating scales, such as the Hamilton Depression Rating Scale24 and the Montgomery-Åsberg Depression Rating Scale,25 have limited sensitivity for measuring fatigue.26 The Fatigue Associated with Depression (FAsD)27 questionnaire, designed according to FDA guidelines,28 is used to assess fatigue associated with depression. The final version of the FAsD includes 13 items: a 6-item experience sub­scale and a 7-item impact subscale.

Is the FAsD helpful? The experience sub­scale of the FAsD assesses how often the patient experiences different aspects of fatigue (tiredness, exhaustion, lack of energy, physical weakness, and a feeling that everything requires too much effort). The impact subscale of the FAsD assesses the effect of fatigue on daily life.

 

 

The overall FAsD score is calculated by taking the mean of each subscale; a change of 0.67 on the experience subscale and 0.57 on the impact subscale are considered clini­cally meaningful.27 The measurement prop­erties of the questionnaire showed internal consistency, reliability, and validity in test­ing. Researchers note, however, that FAsD does not include items to assess the impact of fatigue on cognition. This means that the FAsD might not distinguish between physi­cal and mental aspects of fatigue.


Treatment

It isn’t surprising that residual depres­sion can increase health care utilization and economic burden, including such indirect costs as lost productivity and wages.29 Despite these impacts, there is a paucity of studies evaluating the relation­ship between residual symptoms, such as fatigue, and work productivity. It has been established that improving a depressed patient’s level of energy correlates with improved performance at work.

Treating fatigue as a residual symp­tom of MDD can be complicated because symptoms of fatigue might be:
   • a discrete symptom of MDD
   • a prodromal symptom of another disorder
   • an adverse effect of an antidepressant.2,30

It is a major clinical problem, there­fore, that antidepressants can alleviate and cause symptoms of fatigue.31 Treatment strategy should focus on identifying anti­depressants that are less likely to cause fatigue (ie, noradrenergic or dopaminergic drugs, or both). Adjunctive treatments to target residual fatigue also can be used.32

There are limited published data on the effective treatment of residual fatigue in patients with MDD. Given the absence of sufficient evidence, agents that promote noradrenergic and dopaminergic neuro­transmission have been the treatment of choice when targeting fatigue in depressed patients.2,14,21,33

The Table34-37 lists poten­tial treatment options often used to treat fatigue associated with depression.


SSRIs.
Treatment with SSRIs has been asso­ciated with a low probability of achiev­ing remission when targeting fatigue as a symptom of MDD.21

One study reported that, after 8 weeks of treatment with an SSRI, treatment-emergent adverse events, such as worsening fatigue and weakness, were observed—along with an overall lack of efficacy in targeting all symptoms of depression.38

Another study demonstrated positive effects when a noradrenergic agent was added to an SSRI in partial responders who continued to complain of residual fatigue.33

However, studies that compared the effects of SSRIs with those of antidepres­sants that have pronoradrenergic effects showed that the 2 mechanisms of action were not significantly different from each other in their ability to resolve residual symptoms of fatigue.21 A limiting factor might be that these studies were retrospec­tive and did not analyze the efficacy of a noradrenergic agent as an adjunct for alle­viating symptoms of fatigue.39

Bupropion. This commonly used medica­tion for fatigue is believed to cause a sig­nificantly lower level of fatigue compared with SSRIs.40 The potential utility of bupro­pion in this area could be a reflection of its mechanism of action—ie, the drug targets both noradrenergic and dopaminergic neurotransmission.41

A study comparing bupropion with SSRIs in targeting somatic symptoms of depression reported a small but statisti­cally significant difference in favor of the bupropion-treated group. However, this finding was confounded by the small effect size and difficulty quantifying somatic symptoms.40

Stimulants and modafinil. Psycho-stimulants have been shown to be effica­cious for depression and fatigue, both as monotherapy and adjunctively.39,42

Modafinil has demonstrated efficacy in open-label trials for improving residual fatigue, but failed to separate from pla­cebo in controlled trials.43 At least 1 other failed study has been published examining modafinil as a treatment for fatigue associ­ated with depression.43

Adjunctive therapy with CNS stimu­lants, such as amphetamine/dextroam­phetamine and methylphenidate, has been used to treat fatigue, with positive results.16 Modafinil and stimulants also could be tried as an augmentation strategy to other antidepressants; such use is off-label and should be attempted only after careful consideration.16

Exercise might be a nonpharmacothera­peutic modality that targets the underly­ing physiology associated with fatigue. Exercise releases endorphins, which can affect overall brain chemistry and which have been theorized to diminish symp­toms of fatigue and depression.44 Consider exercise in addition to treatment with an antidepressant in selected patients.45


To sum up

In general, the literature does not recom­mend one medication as superior to any other for treating fatigue that is a residual symptom of depression. Such hesitation suggests that more empirical studies are needed to determine what is the best and proper management of treating fatigue associated with depression.


Bottom LinE
Fatigue can be a symptom of major depressive disorder (MDD) or a risk factor for depression. Fatigue has been studied as a predictor of relapse after previous response to treatment in patients with MDD. Residual fatigue can affect social, cognitive, emotional, and physical health and can result in increased utilization of health care services. A number of treatment options are available; none has been shown to be superior to the others.

 

 


Related Resources

• Leone SS. A disabling combination: fatigue and depression. Br J Psychiatry. 2010;197(2):86-87.
• Targum SD, Fava M. Fatigue as a residual symptom of de­pression. Innov Clin Neurosci. 2011;8(10):40-43.
• Illiades C. How to fight depression fatigue. Everyday Health. http://www.everydayhealth.com/health-report/major-depression-living-well/fight-depression-fatigue.aspx.
• Kerr M. Depression and fatigue: a vicious cycle. Healthline. http://www.healthline.com/health/depression/fatigue.


Drug Brand Names

Amphetamine/dextroamphetamine • Adderall              
Bupropion • Wellbutrin                                                
Desipramine • Norpramin                                           
Methylphenidate • Ritalin
Modafinil • Provigil
Sertraline • Zoloft
Venlafaxine • Effexor

Disclosures
Dr. Sohail reports no financial relationships with any company whose products are mentioned in this article or with manufacturers of competing products.

Dr. Macaluso has conducted clinical trials research as principal investigator for the following pharmaceutical manufacturers in the past 12 months: AbbVie, Inc.; Alkermes; AssureRx Health, Inc.; Eisai Co., Ltd.; FORUM Pharmaceuticals, Inc.; Janssen Pharmaceuticals, Inc.; and Naurex Inc. All clinical trial and study contracts were with, and payments were made to, University of Kansas Medical Center Research Institute, Kansas City, Kansas, a research institute affiliated with University of Kansas School of Medicine−Wichita.

References


1. Schönberger M, Herrberg M, Ponsford J. Fatigue as a cause, not a consequence of depression and daytime sleepiness: a cross-lagged analysis. J Head Trauma Rehabil. 2014;29(5):427-431.
2. Demyttenaere K, De Fruyt J, Stahl, SM. The many faces of fatigue in major depressive disorder. Int J Neuropsychopharmacol. 2005;8(1):93-105.
3. Skapinakis P, Lewis G, Mavreas V. Temporal relations between unexplained fatigue and depression: longitudinal data from an international study in primary care. Psychosom Med. 2004;66(3):330-335.
4. Nierenberg AA, Husain MM, Trivedi MH, et al. Residual symptoms after remission of major depressive disorder with citalopram and risk of relapse: a STAR*D report. Psychol Med. 2010;40(1):41-50.
5. Kennedy N, Paykel ES. Residual symptoms at remission from depression: impact on long-term outcome. J Affect Disord. 2004;80(2-3):135-144.
6. Shen J, Barbera J, Shapiro CM. Distinguishing sleepiness and fatigue: focus on definition and measurement. Sleep Med Rev. 2006;10:63-76.
7. Nierenberg AA, Keefe BR, Leslie VC, et al. Residual symptoms in depressed patients who respond acutely to fluoxetine. J Clin Psychiatry. 1999;60(4):221-225.
8. Tylee A, Gastpar M, Lépine JP, et al. DEPRES II (Depression Research in European Society II): a patient survey of the symptoms, disability and current management of depression in the community. DEPRES Steering Committee. Int Clin Psychopharmacol. 1999;14(3):139-151.
9. Marcus SM, Young EA, Kerber KB, et al. Gender differences in depression: findings from the STAR*D study. J Affect Disord. 2005;87(2-3):141-150.
10. Paykel ES, Ramana, R, Cooper Z, et al. Residual symptoms after partial remission: an important outcome in depression. Psychol Med. 1995;25(6):1171-1180.
11. Bockting CL, Spinhoven P, Koeter MW, et al; Depression Evaluation Longitudinal Therapy Assessment Study Group. Prediction of recurrence in recurrent depression and the influence of consecutive episodes on vulnerability for depression: a 2-year prospective study. J Clin Psychiatry. 2006;67(5):747-755.
12. Greco T, Eckert G, Kroenke K. The outcome of physical symptoms with treatment of depression. J Gen Intern Med. 2004;19(8):813-818.
13. McClintock SM, Husain MM, Wisniewski SR, et al. Residual symptoms in depressed outpatients who respond by 50% but do not remit to antidepressant medication. J Clin Psychopharmacol. 2011;31(2):180-186.
14. Stahl SM, Zhang L, Damatarca C, et al. Brain circuits determine destiny in depression: a novel approach to the psychopharmacology of wakefulness, fatigue, and executive dysfunction in major depressive disorder. J Clin Psychiatry. 2003;64(suppl 14):6-17.
15. MacHale SM, Law´rie SM, Cavanagh JT, et al. Cerebral perfusion in chronic fatigue syndrome and depression. Br J Psychiatry. 2000;176:550-556.
16. Paykel ES. Achieving gains beyond response. Acta Psychiatrica Scandinavica Suppl. 2002;(415):12-17.
17. van den Heuvel OA, Groenewegen HJ, Barkhof F, et al. Frontostriatal system in planning complexity: a parametric functional magnetic resonance version of Tower of London task. Neuroimage. 2003;18(2):367-374.
18. Jaremka LM, Fagundes CP, Glaser R, et al. Loneliness predicts pain, depression, and fatigue: understanding the role of immune dysregulation. Psychoneuroendocrinology. 2013;38(8):1310-1317.
19. Delgado PL, Charney DS, Price LH, et al. Serotonin function and the mechanism of antidepressant action. Reversal of antidepressant-induced remission by rapid depletion of plasma tryptophan. Arch Gen Psychiatry. 1990;47(5):411-418.
20. Nelson JC, Mazure C, Quinlan DM, et al. Drug-responsive symptoms in melancholia. Arch Gen Psychiatry. 1984;41(7):663-668.
21. Fava M, Ball S, Nelson, JC, et al. Clinical relevance of fatigue as a residual symptom in major depressive disorder. Depress Anxiety. 2014;31(3):250-257.
22. Anisman H, Merali Z, Poulter MO, et al. Cytokines as a precipitant of depressive illness: animal and human studies. Curr Pharm Des. 2005;11(8):963-972.
23. Simon NM, McNamara K, Chow CW, et al. A detailed examination of cytokine abnormalities in major depressive disorder. Eur Neuropsychopharmacol. 2008;18(3):230-233.
24. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23:56-62.
25. Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979;134:382-389.
26. Matza LS, Phillips GA, Revicki DA, et al. Development and validation of a patient-report measure of fatigue associated with depression. J Affect Disord. 2011;134(1-3):294-303.
27. Matza LS, Wyrwich KW, Phillips GA, et al. The Fatigue Associated with Depression Questionnaire (FAsD): responsiveness and responder definition. Qual Life Res. 2013;22(2):351-360.
28. Guidance for industry. Patient-reported outcome measures: use in medical product development to support labeling claims. Food and Drug Administration. http://www.fda. gov/downloads/Drugs/Guidances/UCM193282.pdf. Published December 2009. Accessed May 7, 2015.
29. Knoth RL, Bolge SC, Kim E, et al. Effect of inadequate response to treatment in patients with depression. Am J Manag Care. 2010;16(8):e188-e196.
30. Fava M. Symptoms of fatigue and cognitive/executive dysfunction in major depressive disorder before and after antidepressant treatment. J Clin Psychiatry. 2003;64(suppl 14):30-34.
31. Chang T, Fava M. The future of psychopharmacology of depression. J Clin Psychiatry. 2010;71(8):971-975.
32. Baldwin DS, Papakostas GI. Symptoms of fatigue and sleepiness in major depressive disorder. J Clin Psychiatry. 2006;67(suppl 6):9-15.
33. Ball SG, Dellva MA, D’Souza D, et al. A double-blind, placebo-controlled study of augmentation with LY2216684 for major depressive disorder patients who are partial responders to selective serotonin reuptake inhibitors [abstract P 05]. Int J Psych Clin Pract. 2010;14(suppl 1):19.
34. Stahl SM. Using secondary binding properties to select a not so elective serotonin reuptake inhibitor. J Clin Psychiatry. 1998;59(12):642-643.
35. Stahl SM. Essential psychopharmacology: neuroscientific basis and practical applications. 2nd ed. New York, NY: Cambridge University Press; 2000.
36. Bymaster FP, Katner JS, Nelson DL, et al. Atomoxetine increases extracellular levels of norepinephrine and dopamine in prefrontal cortex of rat: a potential mechanism for efficacy in attention deficit/hyperactivity disorder. Neuropsychopharmacology. 2002;27(5):699-711.
37. Scammell TE, Estabrooke IV, McCarthy MT, et al. Hypothalamic arousal regions are activated during modafinil-induced wakefulness. J Neurosci. 2000;20(22):8620-8628.
38. Daly EJ, Trivedi MH, Fava M, et al. The relationship between adverse events during selective serotonin reuptake inhibitor treatment for major depressive disorder and nonremission in the suicide assessment methodology study. J Clin Psychopharmacol. 2011;31(1):31-38.
39. Nelson JC. A review of the efficacy of serotonergic and noradrenergic reuptake inhibitors for treatment of major depression. Biol Psychiatry. 1999;46(9):1301-1308.
40. Papakostas GI, Nutt DJ, Hallett LA, et al. Resolution of sleepiness and fatigue in major depressive disorder: a comparison of bupropion and the selective serotonin reuptake inhibitors. Biol Psychiatry. 2006;60(12):1350-1355.
41. Fava M, Rush AJ, Thase ME, et al. 15 years of clinical experience with bupropion HCl: from bupropion to bupropion SR to bupropion XL. Prim Care Companion J Clin Psychiatry. 2005;7(3):106-113.
42. Candy M, Jones CB, Williams R, et al. Psychostimulants for depression. Cochrane Database Syst Rev. 2008;(2):CD006722. doi: 10.1002/14651858.CD006722.pub2.
43. Lam JY, Freeman MK, Cates ME. Modafinil augmentation for residual symptoms of fatigue in patients with a partial response to antidepressants. Ann Pharmacother. 2007;41(6):1005-1012.
44. Salmon P. Effects of physical exercise on anxiety, depression, and sensitivity to stress: a unifying theory. Clinical Psychol Rev. 2001;21(1):33-61.
45. Trivedi MH, Greer TL, Grannemann BD, et al. Exercise as an augmentation strategy for treatment of major depression. J Psychiatr Pract. 2006;12(4):205-213.

References


1. Schönberger M, Herrberg M, Ponsford J. Fatigue as a cause, not a consequence of depression and daytime sleepiness: a cross-lagged analysis. J Head Trauma Rehabil. 2014;29(5):427-431.
2. Demyttenaere K, De Fruyt J, Stahl, SM. The many faces of fatigue in major depressive disorder. Int J Neuropsychopharmacol. 2005;8(1):93-105.
3. Skapinakis P, Lewis G, Mavreas V. Temporal relations between unexplained fatigue and depression: longitudinal data from an international study in primary care. Psychosom Med. 2004;66(3):330-335.
4. Nierenberg AA, Husain MM, Trivedi MH, et al. Residual symptoms after remission of major depressive disorder with citalopram and risk of relapse: a STAR*D report. Psychol Med. 2010;40(1):41-50.
5. Kennedy N, Paykel ES. Residual symptoms at remission from depression: impact on long-term outcome. J Affect Disord. 2004;80(2-3):135-144.
6. Shen J, Barbera J, Shapiro CM. Distinguishing sleepiness and fatigue: focus on definition and measurement. Sleep Med Rev. 2006;10:63-76.
7. Nierenberg AA, Keefe BR, Leslie VC, et al. Residual symptoms in depressed patients who respond acutely to fluoxetine. J Clin Psychiatry. 1999;60(4):221-225.
8. Tylee A, Gastpar M, Lépine JP, et al. DEPRES II (Depression Research in European Society II): a patient survey of the symptoms, disability and current management of depression in the community. DEPRES Steering Committee. Int Clin Psychopharmacol. 1999;14(3):139-151.
9. Marcus SM, Young EA, Kerber KB, et al. Gender differences in depression: findings from the STAR*D study. J Affect Disord. 2005;87(2-3):141-150.
10. Paykel ES, Ramana, R, Cooper Z, et al. Residual symptoms after partial remission: an important outcome in depression. Psychol Med. 1995;25(6):1171-1180.
11. Bockting CL, Spinhoven P, Koeter MW, et al; Depression Evaluation Longitudinal Therapy Assessment Study Group. Prediction of recurrence in recurrent depression and the influence of consecutive episodes on vulnerability for depression: a 2-year prospective study. J Clin Psychiatry. 2006;67(5):747-755.
12. Greco T, Eckert G, Kroenke K. The outcome of physical symptoms with treatment of depression. J Gen Intern Med. 2004;19(8):813-818.
13. McClintock SM, Husain MM, Wisniewski SR, et al. Residual symptoms in depressed outpatients who respond by 50% but do not remit to antidepressant medication. J Clin Psychopharmacol. 2011;31(2):180-186.
14. Stahl SM, Zhang L, Damatarca C, et al. Brain circuits determine destiny in depression: a novel approach to the psychopharmacology of wakefulness, fatigue, and executive dysfunction in major depressive disorder. J Clin Psychiatry. 2003;64(suppl 14):6-17.
15. MacHale SM, Law´rie SM, Cavanagh JT, et al. Cerebral perfusion in chronic fatigue syndrome and depression. Br J Psychiatry. 2000;176:550-556.
16. Paykel ES. Achieving gains beyond response. Acta Psychiatrica Scandinavica Suppl. 2002;(415):12-17.
17. van den Heuvel OA, Groenewegen HJ, Barkhof F, et al. Frontostriatal system in planning complexity: a parametric functional magnetic resonance version of Tower of London task. Neuroimage. 2003;18(2):367-374.
18. Jaremka LM, Fagundes CP, Glaser R, et al. Loneliness predicts pain, depression, and fatigue: understanding the role of immune dysregulation. Psychoneuroendocrinology. 2013;38(8):1310-1317.
19. Delgado PL, Charney DS, Price LH, et al. Serotonin function and the mechanism of antidepressant action. Reversal of antidepressant-induced remission by rapid depletion of plasma tryptophan. Arch Gen Psychiatry. 1990;47(5):411-418.
20. Nelson JC, Mazure C, Quinlan DM, et al. Drug-responsive symptoms in melancholia. Arch Gen Psychiatry. 1984;41(7):663-668.
21. Fava M, Ball S, Nelson, JC, et al. Clinical relevance of fatigue as a residual symptom in major depressive disorder. Depress Anxiety. 2014;31(3):250-257.
22. Anisman H, Merali Z, Poulter MO, et al. Cytokines as a precipitant of depressive illness: animal and human studies. Curr Pharm Des. 2005;11(8):963-972.
23. Simon NM, McNamara K, Chow CW, et al. A detailed examination of cytokine abnormalities in major depressive disorder. Eur Neuropsychopharmacol. 2008;18(3):230-233.
24. Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry. 1960;23:56-62.
25. Montgomery SA, Asberg M. A new depression scale designed to be sensitive to change. Br J Psychiatry. 1979;134:382-389.
26. Matza LS, Phillips GA, Revicki DA, et al. Development and validation of a patient-report measure of fatigue associated with depression. J Affect Disord. 2011;134(1-3):294-303.
27. Matza LS, Wyrwich KW, Phillips GA, et al. The Fatigue Associated with Depression Questionnaire (FAsD): responsiveness and responder definition. Qual Life Res. 2013;22(2):351-360.
28. Guidance for industry. Patient-reported outcome measures: use in medical product development to support labeling claims. Food and Drug Administration. http://www.fda. gov/downloads/Drugs/Guidances/UCM193282.pdf. Published December 2009. Accessed May 7, 2015.
29. Knoth RL, Bolge SC, Kim E, et al. Effect of inadequate response to treatment in patients with depression. Am J Manag Care. 2010;16(8):e188-e196.
30. Fava M. Symptoms of fatigue and cognitive/executive dysfunction in major depressive disorder before and after antidepressant treatment. J Clin Psychiatry. 2003;64(suppl 14):30-34.
31. Chang T, Fava M. The future of psychopharmacology of depression. J Clin Psychiatry. 2010;71(8):971-975.
32. Baldwin DS, Papakostas GI. Symptoms of fatigue and sleepiness in major depressive disorder. J Clin Psychiatry. 2006;67(suppl 6):9-15.
33. Ball SG, Dellva MA, D’Souza D, et al. A double-blind, placebo-controlled study of augmentation with LY2216684 for major depressive disorder patients who are partial responders to selective serotonin reuptake inhibitors [abstract P 05]. Int J Psych Clin Pract. 2010;14(suppl 1):19.
34. Stahl SM. Using secondary binding properties to select a not so elective serotonin reuptake inhibitor. J Clin Psychiatry. 1998;59(12):642-643.
35. Stahl SM. Essential psychopharmacology: neuroscientific basis and practical applications. 2nd ed. New York, NY: Cambridge University Press; 2000.
36. Bymaster FP, Katner JS, Nelson DL, et al. Atomoxetine increases extracellular levels of norepinephrine and dopamine in prefrontal cortex of rat: a potential mechanism for efficacy in attention deficit/hyperactivity disorder. Neuropsychopharmacology. 2002;27(5):699-711.
37. Scammell TE, Estabrooke IV, McCarthy MT, et al. Hypothalamic arousal regions are activated during modafinil-induced wakefulness. J Neurosci. 2000;20(22):8620-8628.
38. Daly EJ, Trivedi MH, Fava M, et al. The relationship between adverse events during selective serotonin reuptake inhibitor treatment for major depressive disorder and nonremission in the suicide assessment methodology study. J Clin Psychopharmacol. 2011;31(1):31-38.
39. Nelson JC. A review of the efficacy of serotonergic and noradrenergic reuptake inhibitors for treatment of major depression. Biol Psychiatry. 1999;46(9):1301-1308.
40. Papakostas GI, Nutt DJ, Hallett LA, et al. Resolution of sleepiness and fatigue in major depressive disorder: a comparison of bupropion and the selective serotonin reuptake inhibitors. Biol Psychiatry. 2006;60(12):1350-1355.
41. Fava M, Rush AJ, Thase ME, et al. 15 years of clinical experience with bupropion HCl: from bupropion to bupropion SR to bupropion XL. Prim Care Companion J Clin Psychiatry. 2005;7(3):106-113.
42. Candy M, Jones CB, Williams R, et al. Psychostimulants for depression. Cochrane Database Syst Rev. 2008;(2):CD006722. doi: 10.1002/14651858.CD006722.pub2.
43. Lam JY, Freeman MK, Cates ME. Modafinil augmentation for residual symptoms of fatigue in patients with a partial response to antidepressants. Ann Pharmacother. 2007;41(6):1005-1012.
44. Salmon P. Effects of physical exercise on anxiety, depression, and sensitivity to stress: a unifying theory. Clinical Psychol Rev. 2001;21(1):33-61.
45. Trivedi MH, Greer TL, Grannemann BD, et al. Exercise as an augmentation strategy for treatment of major depression. J Psychiatr Pract. 2006;12(4):205-213.

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DDW: Intragastric balloon eyed for primary obesity intervention

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WASHINGTON – Obese patients implanted with an intragastric balloon lost significantly more weight than those following a behavioral modification program in a randomized, nonblinded trial.

Moreover, weight loss was preserved even after device removal, study author Dr. Barham Abu Dayyeh said at the annual Digestive Disease Week.

Dr. Barham Abu Dayyeh

The Orbera intragastric balloon (Apollo Endosurgery) could fill a gap in the United States between obesity lifestyle interventions that are minimally effective and a range of bariatric surgical interventions that are effective, but come at a cost of increased complications and health care costs, he said. Moreover, only 1% of qualified patients actually end up having bariatric surgery.

The silicone, saline-filled intragastric balloon (IGB) has been widely used outside the U.S. for more than 17 years in more than 200,000 patients, added Dr. Abu Dayyeh* of Mayo Clinic in Rochester, Minn.

The multicenter trial was designed for premarketing approval in the U.S. of the Orbera IGB and randomly assigned 273 adults with a body mass index (BMI) of 30-40 kg/m2 for more than 2 years to a 12-month behavioral modification program with or without endoscopic placement of the IGB filled to 500-600 cc. The balloon was removed at month 6, with regular office visits through 1 year.

Eighteen patients withdrew before treatment; 215 patients were evaluable at 6 months, 206 at 9 months, and 191 at 12 months. The mean baseline BMI was 35 kg/m2 and 90% of patients were female.

At 6 months, the mean percent total body weight loss was greater in the IGB group than the control group (about 10% vs. 4%; P < .001), Dr. Abu Dayyeh said, noting that total body weight loss was significantly higher in the balloon group at each time point: 3, 6, 9, and 12 months.

Similarly, the mean percent of excess weight loss at 6 months was better in the balloon group than in the control group (about 40% vs. 13%; P < .001). The majority of excess weight loss achieved at 6 months was also maintained at 12 months, he said.

At 9 months (3 months after device removal), 45.6% of patients in the IGB group had an excess weight loss at least 15% higher than patients in the control group, which exceeded the 30% threshold set as a primary study outcome, he said.

The mean percent excess weight loss was 26.5% at 9 months in the balloon group, which also exceeded the 25% threshold set as a second primary outcome.

This IGB system “appears to meet the thresholds set forth by the ASGE/ASMBS PIVI for endoscopic bariatric therapies intended as a primary obesity intervention,” Dr. Abu Dayyeh said.

The American Society for Gastrointestinal Endoscopy/American Society for Metabolic and Bariatric Surgery PIVI (Preservation and Incorporation of Valuable endoscopic Innovations) recommends that endoscopic bariatric therapies intended as a primary obesity intervention achieve a mean minimum threshold of 25% excess weight loss at 12 months.

At 52 weeks, both groups had an improvement from baseline in diabetes, hypertension, and lipids, but the improvement was greater with the IGB, he said.

Beck Depression Scores and quality of life also improved in both groups, with the improvement again greater with the IGB.

Serious adverse events were reported by 7% of controls and 9.6% of the balloon group including 8 early removals for intolerance, 1 gastric outlet obstruction, 1 laryngospasm during placement, 1 case of severe abdominal cramping, and 1 case of severe dehydration.

Early device removals occurred in 22% of patients, 15 for symptoms and 13 at subject request, Dr. Abu Dayyeh said. No deaths occurred in the trial.

*Changed on July 8, 2015.

[email protected]

On Twitter @pwendl

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WASHINGTON – Obese patients implanted with an intragastric balloon lost significantly more weight than those following a behavioral modification program in a randomized, nonblinded trial.

Moreover, weight loss was preserved even after device removal, study author Dr. Barham Abu Dayyeh said at the annual Digestive Disease Week.

Dr. Barham Abu Dayyeh

The Orbera intragastric balloon (Apollo Endosurgery) could fill a gap in the United States between obesity lifestyle interventions that are minimally effective and a range of bariatric surgical interventions that are effective, but come at a cost of increased complications and health care costs, he said. Moreover, only 1% of qualified patients actually end up having bariatric surgery.

The silicone, saline-filled intragastric balloon (IGB) has been widely used outside the U.S. for more than 17 years in more than 200,000 patients, added Dr. Abu Dayyeh* of Mayo Clinic in Rochester, Minn.

The multicenter trial was designed for premarketing approval in the U.S. of the Orbera IGB and randomly assigned 273 adults with a body mass index (BMI) of 30-40 kg/m2 for more than 2 years to a 12-month behavioral modification program with or without endoscopic placement of the IGB filled to 500-600 cc. The balloon was removed at month 6, with regular office visits through 1 year.

Eighteen patients withdrew before treatment; 215 patients were evaluable at 6 months, 206 at 9 months, and 191 at 12 months. The mean baseline BMI was 35 kg/m2 and 90% of patients were female.

At 6 months, the mean percent total body weight loss was greater in the IGB group than the control group (about 10% vs. 4%; P < .001), Dr. Abu Dayyeh said, noting that total body weight loss was significantly higher in the balloon group at each time point: 3, 6, 9, and 12 months.

Similarly, the mean percent of excess weight loss at 6 months was better in the balloon group than in the control group (about 40% vs. 13%; P < .001). The majority of excess weight loss achieved at 6 months was also maintained at 12 months, he said.

At 9 months (3 months after device removal), 45.6% of patients in the IGB group had an excess weight loss at least 15% higher than patients in the control group, which exceeded the 30% threshold set as a primary study outcome, he said.

The mean percent excess weight loss was 26.5% at 9 months in the balloon group, which also exceeded the 25% threshold set as a second primary outcome.

This IGB system “appears to meet the thresholds set forth by the ASGE/ASMBS PIVI for endoscopic bariatric therapies intended as a primary obesity intervention,” Dr. Abu Dayyeh said.

The American Society for Gastrointestinal Endoscopy/American Society for Metabolic and Bariatric Surgery PIVI (Preservation and Incorporation of Valuable endoscopic Innovations) recommends that endoscopic bariatric therapies intended as a primary obesity intervention achieve a mean minimum threshold of 25% excess weight loss at 12 months.

At 52 weeks, both groups had an improvement from baseline in diabetes, hypertension, and lipids, but the improvement was greater with the IGB, he said.

Beck Depression Scores and quality of life also improved in both groups, with the improvement again greater with the IGB.

Serious adverse events were reported by 7% of controls and 9.6% of the balloon group including 8 early removals for intolerance, 1 gastric outlet obstruction, 1 laryngospasm during placement, 1 case of severe abdominal cramping, and 1 case of severe dehydration.

Early device removals occurred in 22% of patients, 15 for symptoms and 13 at subject request, Dr. Abu Dayyeh said. No deaths occurred in the trial.

*Changed on July 8, 2015.

[email protected]

On Twitter @pwendl

WASHINGTON – Obese patients implanted with an intragastric balloon lost significantly more weight than those following a behavioral modification program in a randomized, nonblinded trial.

Moreover, weight loss was preserved even after device removal, study author Dr. Barham Abu Dayyeh said at the annual Digestive Disease Week.

Dr. Barham Abu Dayyeh

The Orbera intragastric balloon (Apollo Endosurgery) could fill a gap in the United States between obesity lifestyle interventions that are minimally effective and a range of bariatric surgical interventions that are effective, but come at a cost of increased complications and health care costs, he said. Moreover, only 1% of qualified patients actually end up having bariatric surgery.

The silicone, saline-filled intragastric balloon (IGB) has been widely used outside the U.S. for more than 17 years in more than 200,000 patients, added Dr. Abu Dayyeh* of Mayo Clinic in Rochester, Minn.

The multicenter trial was designed for premarketing approval in the U.S. of the Orbera IGB and randomly assigned 273 adults with a body mass index (BMI) of 30-40 kg/m2 for more than 2 years to a 12-month behavioral modification program with or without endoscopic placement of the IGB filled to 500-600 cc. The balloon was removed at month 6, with regular office visits through 1 year.

Eighteen patients withdrew before treatment; 215 patients were evaluable at 6 months, 206 at 9 months, and 191 at 12 months. The mean baseline BMI was 35 kg/m2 and 90% of patients were female.

At 6 months, the mean percent total body weight loss was greater in the IGB group than the control group (about 10% vs. 4%; P < .001), Dr. Abu Dayyeh said, noting that total body weight loss was significantly higher in the balloon group at each time point: 3, 6, 9, and 12 months.

Similarly, the mean percent of excess weight loss at 6 months was better in the balloon group than in the control group (about 40% vs. 13%; P < .001). The majority of excess weight loss achieved at 6 months was also maintained at 12 months, he said.

At 9 months (3 months after device removal), 45.6% of patients in the IGB group had an excess weight loss at least 15% higher than patients in the control group, which exceeded the 30% threshold set as a primary study outcome, he said.

The mean percent excess weight loss was 26.5% at 9 months in the balloon group, which also exceeded the 25% threshold set as a second primary outcome.

This IGB system “appears to meet the thresholds set forth by the ASGE/ASMBS PIVI for endoscopic bariatric therapies intended as a primary obesity intervention,” Dr. Abu Dayyeh said.

The American Society for Gastrointestinal Endoscopy/American Society for Metabolic and Bariatric Surgery PIVI (Preservation and Incorporation of Valuable endoscopic Innovations) recommends that endoscopic bariatric therapies intended as a primary obesity intervention achieve a mean minimum threshold of 25% excess weight loss at 12 months.

At 52 weeks, both groups had an improvement from baseline in diabetes, hypertension, and lipids, but the improvement was greater with the IGB, he said.

Beck Depression Scores and quality of life also improved in both groups, with the improvement again greater with the IGB.

Serious adverse events were reported by 7% of controls and 9.6% of the balloon group including 8 early removals for intolerance, 1 gastric outlet obstruction, 1 laryngospasm during placement, 1 case of severe abdominal cramping, and 1 case of severe dehydration.

Early device removals occurred in 22% of patients, 15 for symptoms and 13 at subject request, Dr. Abu Dayyeh said. No deaths occurred in the trial.

*Changed on July 8, 2015.

[email protected]

On Twitter @pwendl

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Key clinical point: An intragastric balloon system is an effective adjunct to lifestyle intervention for weight loss in obese patients with a BMI of 30-40 kg/m2.

Major finding: Mean percent excess weight loss at 6 months was about 40% for the intragastric balloon group vs. 13% for controls (P < .001).

Data source: Prospective, randomized, nonblinded study in 273 obese patients with a BMI of 30-40 kg/m2.

Disclosures: Apollo Endosurgery sponsored the study. Dr. Dayyeh reported financial relationships with Apollo Endosurgery, Aspire Bariatrics, and GI Dynamics.

Slower teen reaction times may increase anxiety and depression risk later in life

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Adolescents with slower processing speeds and longer reaction times were at a greater risk of anxiety and depression later in life, according to Catharine R. Gale, Ph.D., of the University of Southampton (England) and her associates.

In this 20-year study of 705 males and females, longer reaction time at 16 years indicated a small but significant association with poorer mental health at age 36.

Adjusting for sex, parental social class, General Health Questionnaire (GHQ) score at age 16 years, health behaviors at age 36 years, and allostatic load had little effect on the association between reaction time and the GHQ score, but the association was weakened with Hospital Anxiety and Depression Scale (HADS) scores for both anxiety and depression. Smoking had a mediating effect on the HADS anxiety score, but not on the depression subscale.

“Further prospective studies of the relation between reaction time and mental health outcomes in other samples are needed to gauge whether reaction time is a true risk factor for mental disorders and to confirm the mediating roles played by smoking and allostatic load,” the investigators noted.

Find the full study in Psychosomatic Medicine (doi:10.1097/PSY.0000000000000189).

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Adolescents with slower processing speeds and longer reaction times were at a greater risk of anxiety and depression later in life, according to Catharine R. Gale, Ph.D., of the University of Southampton (England) and her associates.

In this 20-year study of 705 males and females, longer reaction time at 16 years indicated a small but significant association with poorer mental health at age 36.

Adjusting for sex, parental social class, General Health Questionnaire (GHQ) score at age 16 years, health behaviors at age 36 years, and allostatic load had little effect on the association between reaction time and the GHQ score, but the association was weakened with Hospital Anxiety and Depression Scale (HADS) scores for both anxiety and depression. Smoking had a mediating effect on the HADS anxiety score, but not on the depression subscale.

“Further prospective studies of the relation between reaction time and mental health outcomes in other samples are needed to gauge whether reaction time is a true risk factor for mental disorders and to confirm the mediating roles played by smoking and allostatic load,” the investigators noted.

Find the full study in Psychosomatic Medicine (doi:10.1097/PSY.0000000000000189).

[email protected]

Adolescents with slower processing speeds and longer reaction times were at a greater risk of anxiety and depression later in life, according to Catharine R. Gale, Ph.D., of the University of Southampton (England) and her associates.

In this 20-year study of 705 males and females, longer reaction time at 16 years indicated a small but significant association with poorer mental health at age 36.

Adjusting for sex, parental social class, General Health Questionnaire (GHQ) score at age 16 years, health behaviors at age 36 years, and allostatic load had little effect on the association between reaction time and the GHQ score, but the association was weakened with Hospital Anxiety and Depression Scale (HADS) scores for both anxiety and depression. Smoking had a mediating effect on the HADS anxiety score, but not on the depression subscale.

“Further prospective studies of the relation between reaction time and mental health outcomes in other samples are needed to gauge whether reaction time is a true risk factor for mental disorders and to confirm the mediating roles played by smoking and allostatic load,” the investigators noted.

Find the full study in Psychosomatic Medicine (doi:10.1097/PSY.0000000000000189).

[email protected]

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Study quantifies VTE risk with different birth control pills

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Contraceptive pills

Results of a large, retrospective study support the association between newer contraceptive pills and a higher risk of venous thromboembolism (VTE).

The research showed that pills containing one of the newer types of progestogen—drospirenone, desogestrel, gestodene, and cyproterone—are associated with a nearly 2-fold higher risk of VTE than pills containing older progestogens—levonorgestrel, norethisterone, and norgestimate.

The researchers said this study has sufficient power to provide reliable comparative findings for different formulations of combined oral contraceptives. However, because it is an observational study, no definitive conclusions can be drawn about cause and effect.

The team described this research in BMJ alongside a related editorial.

Although the increased risk of VTE associated with combined oral contraceptives has been suggested previously, prior studies have used different methods to examine this link. So the relative risks associated with different combinations remain inconclusive.

Yana Vinogradova, of the University of Nottingham in the UK, and her colleagues tried to address these differences to help explain the range of results.

The team used prescription data from 2 large UK general practice databases to measure the associations between the use of combined oral contraceptives and the risk of VTE in women aged 15 to 49, adjusting for other known VTE risk factors.

The researchers matched 10,562 women with VTE to 42,034 control subjects and found that women who used any combined oral contraceptive within the past year had an increased risk of VTE compared with non-users of similar age and health status. The adjusted odds ratio was 2.97.

The risk of VTE was significantly higher for women who used the newer oral contraceptives than the older pills (P<0.001). The adjusted odds ratios were 4.28 for desogestrel, 4.27 for cyproterone, 4.12 for drospirenone, and 3.64 for gestodene, compared to 2.38 for levonorgestrel, 2.53 for norgestimate, and 2.56 for norethisterone.

The number of extra VTE cases per year per 10,000 treated women was lowest for levonorgestrel and norgestimate (6 cases for both) and highest for desogestrel and cyproterone (14 cases for both).

The researchers said that, although this is an observational study, it has produced the most reliable possible VTE risk estimates using currently available UK prescription data.

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Contraceptive pills

Results of a large, retrospective study support the association between newer contraceptive pills and a higher risk of venous thromboembolism (VTE).

The research showed that pills containing one of the newer types of progestogen—drospirenone, desogestrel, gestodene, and cyproterone—are associated with a nearly 2-fold higher risk of VTE than pills containing older progestogens—levonorgestrel, norethisterone, and norgestimate.

The researchers said this study has sufficient power to provide reliable comparative findings for different formulations of combined oral contraceptives. However, because it is an observational study, no definitive conclusions can be drawn about cause and effect.

The team described this research in BMJ alongside a related editorial.

Although the increased risk of VTE associated with combined oral contraceptives has been suggested previously, prior studies have used different methods to examine this link. So the relative risks associated with different combinations remain inconclusive.

Yana Vinogradova, of the University of Nottingham in the UK, and her colleagues tried to address these differences to help explain the range of results.

The team used prescription data from 2 large UK general practice databases to measure the associations between the use of combined oral contraceptives and the risk of VTE in women aged 15 to 49, adjusting for other known VTE risk factors.

The researchers matched 10,562 women with VTE to 42,034 control subjects and found that women who used any combined oral contraceptive within the past year had an increased risk of VTE compared with non-users of similar age and health status. The adjusted odds ratio was 2.97.

The risk of VTE was significantly higher for women who used the newer oral contraceptives than the older pills (P<0.001). The adjusted odds ratios were 4.28 for desogestrel, 4.27 for cyproterone, 4.12 for drospirenone, and 3.64 for gestodene, compared to 2.38 for levonorgestrel, 2.53 for norgestimate, and 2.56 for norethisterone.

The number of extra VTE cases per year per 10,000 treated women was lowest for levonorgestrel and norgestimate (6 cases for both) and highest for desogestrel and cyproterone (14 cases for both).

The researchers said that, although this is an observational study, it has produced the most reliable possible VTE risk estimates using currently available UK prescription data.

Contraceptive pills

Results of a large, retrospective study support the association between newer contraceptive pills and a higher risk of venous thromboembolism (VTE).

The research showed that pills containing one of the newer types of progestogen—drospirenone, desogestrel, gestodene, and cyproterone—are associated with a nearly 2-fold higher risk of VTE than pills containing older progestogens—levonorgestrel, norethisterone, and norgestimate.

The researchers said this study has sufficient power to provide reliable comparative findings for different formulations of combined oral contraceptives. However, because it is an observational study, no definitive conclusions can be drawn about cause and effect.

The team described this research in BMJ alongside a related editorial.

Although the increased risk of VTE associated with combined oral contraceptives has been suggested previously, prior studies have used different methods to examine this link. So the relative risks associated with different combinations remain inconclusive.

Yana Vinogradova, of the University of Nottingham in the UK, and her colleagues tried to address these differences to help explain the range of results.

The team used prescription data from 2 large UK general practice databases to measure the associations between the use of combined oral contraceptives and the risk of VTE in women aged 15 to 49, adjusting for other known VTE risk factors.

The researchers matched 10,562 women with VTE to 42,034 control subjects and found that women who used any combined oral contraceptive within the past year had an increased risk of VTE compared with non-users of similar age and health status. The adjusted odds ratio was 2.97.

The risk of VTE was significantly higher for women who used the newer oral contraceptives than the older pills (P<0.001). The adjusted odds ratios were 4.28 for desogestrel, 4.27 for cyproterone, 4.12 for drospirenone, and 3.64 for gestodene, compared to 2.38 for levonorgestrel, 2.53 for norgestimate, and 2.56 for norethisterone.

The number of extra VTE cases per year per 10,000 treated women was lowest for levonorgestrel and norgestimate (6 cases for both) and highest for desogestrel and cyproterone (14 cases for both).

The researchers said that, although this is an observational study, it has produced the most reliable possible VTE risk estimates using currently available UK prescription data.

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FDA clears test to detect bacteria in platelets

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Platelets for transfusion

The US Food and Drug Administration (FDA) has expanded the authorized use of Verax Biomedical’s Platelet PGD Test, which detects bacteria in platelets intended for transfusion.

The FDA previously approved the test for leukocyte-reduced apheresis platelets (in 2007) and platelets derived from whole blood (in 2009).

Now, the test has been approved for pre-storage pooled platelets and apheresis platelets in platelet additive solution C (PAS-C) and plasma.

This makes the Platelet PGD Test the only rapid test on the market that can check every commonly distributed platelet type in the US, according to Verax Biomedical.

About the test

The Platelet PGD Test is an immunoassay used on the day of transfusion at the point of care—a hospital or transfusion service—to detect bacterial contamination in platelets to be transfused.

The test consists of a disposable plastic cartridge and 3 pretreatment reagents. To use, the tester pretreats a freshly collected platelet sample (500µL) and applies it to the sample well on the test cartridge.

Lights on the cartridge change from yellow to blue-violet when the test is ready to be interpreted, which is typically about 20 minutes after the sample is applied to the cartridge. The lights confirm that the appropriate volume of a sample was added and the testing is complete.

If the test is positive, a pink line will appear in 1 of the 2 windows on the cartridge. One window represents Gram-positive bacteria and the other Gram-negative. Non-reactive samples will have no line in either window.

Now that the FDA has expanded the indications for the Platelet PGD Test, it can be used as a quality control test for pools of up to 6 units of leukocyte-reduced and non-leukocyte-reduced whole-blood-derived platelets suspended in plasma that are pooled within 4 hours of transfusion.

The test can also be used within 24 hours of transfusion as a safety measure following testing with a growth-based, quality control test cleared by the FDA. For this indication, the Platelet PGD Test can be used with:

  • Leukocyte-reduced apheresis platelets suspended in plasma
  • Leukocyte-reduced apheresis platelets suspended in PAS-C and plasma
  • Pre-storage pools of up to 6 leukocyte-reduced whole-blood-derived platelets suspended in plasma.

In studies conducted by Verax Biomedical (described in the summary document here), the Platelet PGD Test successfully detected bacteria in pre-storage pools of whole-blood derived platelets suspended in plasma and leukocyte-reduced apheresis platelets suspended in plasma or PAS-C and plasma.

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Platelets for transfusion

The US Food and Drug Administration (FDA) has expanded the authorized use of Verax Biomedical’s Platelet PGD Test, which detects bacteria in platelets intended for transfusion.

The FDA previously approved the test for leukocyte-reduced apheresis platelets (in 2007) and platelets derived from whole blood (in 2009).

Now, the test has been approved for pre-storage pooled platelets and apheresis platelets in platelet additive solution C (PAS-C) and plasma.

This makes the Platelet PGD Test the only rapid test on the market that can check every commonly distributed platelet type in the US, according to Verax Biomedical.

About the test

The Platelet PGD Test is an immunoassay used on the day of transfusion at the point of care—a hospital or transfusion service—to detect bacterial contamination in platelets to be transfused.

The test consists of a disposable plastic cartridge and 3 pretreatment reagents. To use, the tester pretreats a freshly collected platelet sample (500µL) and applies it to the sample well on the test cartridge.

Lights on the cartridge change from yellow to blue-violet when the test is ready to be interpreted, which is typically about 20 minutes after the sample is applied to the cartridge. The lights confirm that the appropriate volume of a sample was added and the testing is complete.

If the test is positive, a pink line will appear in 1 of the 2 windows on the cartridge. One window represents Gram-positive bacteria and the other Gram-negative. Non-reactive samples will have no line in either window.

Now that the FDA has expanded the indications for the Platelet PGD Test, it can be used as a quality control test for pools of up to 6 units of leukocyte-reduced and non-leukocyte-reduced whole-blood-derived platelets suspended in plasma that are pooled within 4 hours of transfusion.

The test can also be used within 24 hours of transfusion as a safety measure following testing with a growth-based, quality control test cleared by the FDA. For this indication, the Platelet PGD Test can be used with:

  • Leukocyte-reduced apheresis platelets suspended in plasma
  • Leukocyte-reduced apheresis platelets suspended in PAS-C and plasma
  • Pre-storage pools of up to 6 leukocyte-reduced whole-blood-derived platelets suspended in plasma.

In studies conducted by Verax Biomedical (described in the summary document here), the Platelet PGD Test successfully detected bacteria in pre-storage pools of whole-blood derived platelets suspended in plasma and leukocyte-reduced apheresis platelets suspended in plasma or PAS-C and plasma.

Platelets for transfusion

The US Food and Drug Administration (FDA) has expanded the authorized use of Verax Biomedical’s Platelet PGD Test, which detects bacteria in platelets intended for transfusion.

The FDA previously approved the test for leukocyte-reduced apheresis platelets (in 2007) and platelets derived from whole blood (in 2009).

Now, the test has been approved for pre-storage pooled platelets and apheresis platelets in platelet additive solution C (PAS-C) and plasma.

This makes the Platelet PGD Test the only rapid test on the market that can check every commonly distributed platelet type in the US, according to Verax Biomedical.

About the test

The Platelet PGD Test is an immunoassay used on the day of transfusion at the point of care—a hospital or transfusion service—to detect bacterial contamination in platelets to be transfused.

The test consists of a disposable plastic cartridge and 3 pretreatment reagents. To use, the tester pretreats a freshly collected platelet sample (500µL) and applies it to the sample well on the test cartridge.

Lights on the cartridge change from yellow to blue-violet when the test is ready to be interpreted, which is typically about 20 minutes after the sample is applied to the cartridge. The lights confirm that the appropriate volume of a sample was added and the testing is complete.

If the test is positive, a pink line will appear in 1 of the 2 windows on the cartridge. One window represents Gram-positive bacteria and the other Gram-negative. Non-reactive samples will have no line in either window.

Now that the FDA has expanded the indications for the Platelet PGD Test, it can be used as a quality control test for pools of up to 6 units of leukocyte-reduced and non-leukocyte-reduced whole-blood-derived platelets suspended in plasma that are pooled within 4 hours of transfusion.

The test can also be used within 24 hours of transfusion as a safety measure following testing with a growth-based, quality control test cleared by the FDA. For this indication, the Platelet PGD Test can be used with:

  • Leukocyte-reduced apheresis platelets suspended in plasma
  • Leukocyte-reduced apheresis platelets suspended in PAS-C and plasma
  • Pre-storage pools of up to 6 leukocyte-reduced whole-blood-derived platelets suspended in plasma.

In studies conducted by Verax Biomedical (described in the summary document here), the Platelet PGD Test successfully detected bacteria in pre-storage pools of whole-blood derived platelets suspended in plasma and leukocyte-reduced apheresis platelets suspended in plasma or PAS-C and plasma.

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Team says delayed cord clamping can’t hurt

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Umbilical cord clamping

Photo by Meutia Chaerani

and Indradi Soemardjan

New research suggests that delayed umbilical cord clamping in full-term infants may confer some minor long-term benefits and, at the very least, does not pose any harm.

Delayed clamping did not appear to have a significant effect on most of the mental and physical measures assessed in the study.

It was associated with improved scores in fine-motor skills and social skills at age 4, but these effects only occurred in boys.

Researchers reported these results in JAMA Pediatrics alongside a related editorial.

Previous research has shown that delaying umbilical cord clamping by 2 to 3 minutes after delivery allows fetal blood remaining in the placental circulation to be transfused back to the newborn, and this is associated with improved iron status at 4 to 6 months of age.

However, there is a lack of knowledge regarding the long-term effects of delayed clamping. So policymakers have been hesitant about making clear recommendations regarding cord clamping in full-term infants.

To gain more insight, Ola Andersson, MD, PhD, of Uppsala University in Sweden, and his colleagues performed follow-up assessments of 263 children who were previously enrolled in a randomized trial of cord clamping in full-term infants born in a Swedish hospital.

The team assessed the effects of delayed cord clamping on childhood development at age 4. Delayed clamping (n=141) was defined as occurring 3 or more minutes after delivery, and early clamping (n=122) was defined as occurring 10 seconds or fewer after delivery.

The researchers evaluated child behavior and development using parents’ responses on the Ages and Stages Questionnaire, Third Edition (ASQ), which is used to assess communication, motor skills, and other measures; and the Strengths and Difficulties Questionnaire, which is used to score children’s emotional difficulties, hyperactivity, and other difficulties.

A blinded psychologist also assessed children’s scores on the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III), which is used to assess IQ and similar measures, and the Movement Assessment Battery for Children (Movement ABC), which is used to assess manual dexterity and similar measures.

The researchers found no significant differences between the delayed and early clamping groups with regard to results on the WPPSI-III or the Movement ABC.

However, delayed clamping was associated with a significant improvement over early clamping in ASQ personal-social scores (adjusted mean difference [AMD]=2.8, P=0.006), fine-motor scores (AMD=2.1, P=0.03), and the Strengths and Difficulties Questionnaire prosocial subscale (AMD=0.5, P=0.05).

When the researchers assessed the children according to sex, they found that significant improvements associated with delayed clamping were only present in males.

Males in the delayed clamping group had significantly higher mean scores in tasks involving fine-motor function, including the WPPSI-III processing-speed quotient (AMD=4.2, P=0.02), the Movement ABC bicycle-trail task (AMD=0.8, P=0.03), and fine-motor scores on the ASQ (AMD=4.7, P=0.01). These boys also had significantly higher personal-social scores on the ASQ (AMD=4.9, P=0.004).

The researchers concluded that, although delayed cord clamping and early clamping resulted in similar overall neurodevelopment and behavior among 4-year-old children, there were differences in this study. And this suggests there are some positive, and no harmful, long-term effects of delayed cord clamping.

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Umbilical cord clamping

Photo by Meutia Chaerani

and Indradi Soemardjan

New research suggests that delayed umbilical cord clamping in full-term infants may confer some minor long-term benefits and, at the very least, does not pose any harm.

Delayed clamping did not appear to have a significant effect on most of the mental and physical measures assessed in the study.

It was associated with improved scores in fine-motor skills and social skills at age 4, but these effects only occurred in boys.

Researchers reported these results in JAMA Pediatrics alongside a related editorial.

Previous research has shown that delaying umbilical cord clamping by 2 to 3 minutes after delivery allows fetal blood remaining in the placental circulation to be transfused back to the newborn, and this is associated with improved iron status at 4 to 6 months of age.

However, there is a lack of knowledge regarding the long-term effects of delayed clamping. So policymakers have been hesitant about making clear recommendations regarding cord clamping in full-term infants.

To gain more insight, Ola Andersson, MD, PhD, of Uppsala University in Sweden, and his colleagues performed follow-up assessments of 263 children who were previously enrolled in a randomized trial of cord clamping in full-term infants born in a Swedish hospital.

The team assessed the effects of delayed cord clamping on childhood development at age 4. Delayed clamping (n=141) was defined as occurring 3 or more minutes after delivery, and early clamping (n=122) was defined as occurring 10 seconds or fewer after delivery.

The researchers evaluated child behavior and development using parents’ responses on the Ages and Stages Questionnaire, Third Edition (ASQ), which is used to assess communication, motor skills, and other measures; and the Strengths and Difficulties Questionnaire, which is used to score children’s emotional difficulties, hyperactivity, and other difficulties.

A blinded psychologist also assessed children’s scores on the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III), which is used to assess IQ and similar measures, and the Movement Assessment Battery for Children (Movement ABC), which is used to assess manual dexterity and similar measures.

The researchers found no significant differences between the delayed and early clamping groups with regard to results on the WPPSI-III or the Movement ABC.

However, delayed clamping was associated with a significant improvement over early clamping in ASQ personal-social scores (adjusted mean difference [AMD]=2.8, P=0.006), fine-motor scores (AMD=2.1, P=0.03), and the Strengths and Difficulties Questionnaire prosocial subscale (AMD=0.5, P=0.05).

When the researchers assessed the children according to sex, they found that significant improvements associated with delayed clamping were only present in males.

Males in the delayed clamping group had significantly higher mean scores in tasks involving fine-motor function, including the WPPSI-III processing-speed quotient (AMD=4.2, P=0.02), the Movement ABC bicycle-trail task (AMD=0.8, P=0.03), and fine-motor scores on the ASQ (AMD=4.7, P=0.01). These boys also had significantly higher personal-social scores on the ASQ (AMD=4.9, P=0.004).

The researchers concluded that, although delayed cord clamping and early clamping resulted in similar overall neurodevelopment and behavior among 4-year-old children, there were differences in this study. And this suggests there are some positive, and no harmful, long-term effects of delayed cord clamping.

Umbilical cord clamping

Photo by Meutia Chaerani

and Indradi Soemardjan

New research suggests that delayed umbilical cord clamping in full-term infants may confer some minor long-term benefits and, at the very least, does not pose any harm.

Delayed clamping did not appear to have a significant effect on most of the mental and physical measures assessed in the study.

It was associated with improved scores in fine-motor skills and social skills at age 4, but these effects only occurred in boys.

Researchers reported these results in JAMA Pediatrics alongside a related editorial.

Previous research has shown that delaying umbilical cord clamping by 2 to 3 minutes after delivery allows fetal blood remaining in the placental circulation to be transfused back to the newborn, and this is associated with improved iron status at 4 to 6 months of age.

However, there is a lack of knowledge regarding the long-term effects of delayed clamping. So policymakers have been hesitant about making clear recommendations regarding cord clamping in full-term infants.

To gain more insight, Ola Andersson, MD, PhD, of Uppsala University in Sweden, and his colleagues performed follow-up assessments of 263 children who were previously enrolled in a randomized trial of cord clamping in full-term infants born in a Swedish hospital.

The team assessed the effects of delayed cord clamping on childhood development at age 4. Delayed clamping (n=141) was defined as occurring 3 or more minutes after delivery, and early clamping (n=122) was defined as occurring 10 seconds or fewer after delivery.

The researchers evaluated child behavior and development using parents’ responses on the Ages and Stages Questionnaire, Third Edition (ASQ), which is used to assess communication, motor skills, and other measures; and the Strengths and Difficulties Questionnaire, which is used to score children’s emotional difficulties, hyperactivity, and other difficulties.

A blinded psychologist also assessed children’s scores on the Wechsler Preschool and Primary Scale of Intelligence (WPPSI-III), which is used to assess IQ and similar measures, and the Movement Assessment Battery for Children (Movement ABC), which is used to assess manual dexterity and similar measures.

The researchers found no significant differences between the delayed and early clamping groups with regard to results on the WPPSI-III or the Movement ABC.

However, delayed clamping was associated with a significant improvement over early clamping in ASQ personal-social scores (adjusted mean difference [AMD]=2.8, P=0.006), fine-motor scores (AMD=2.1, P=0.03), and the Strengths and Difficulties Questionnaire prosocial subscale (AMD=0.5, P=0.05).

When the researchers assessed the children according to sex, they found that significant improvements associated with delayed clamping were only present in males.

Males in the delayed clamping group had significantly higher mean scores in tasks involving fine-motor function, including the WPPSI-III processing-speed quotient (AMD=4.2, P=0.02), the Movement ABC bicycle-trail task (AMD=0.8, P=0.03), and fine-motor scores on the ASQ (AMD=4.7, P=0.01). These boys also had significantly higher personal-social scores on the ASQ (AMD=4.9, P=0.004).

The researchers concluded that, although delayed cord clamping and early clamping resulted in similar overall neurodevelopment and behavior among 4-year-old children, there were differences in this study. And this suggests there are some positive, and no harmful, long-term effects of delayed cord clamping.

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Histone variant may contribute to lymphoma

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DNA coiled around histones

Image by Eric Smith

Researchers say they have identified histone chaperones that play an important role in the structure of chromatin.

The team believes this finding, published in Molecular Cell, could lead to a better understanding of lymphomas and other cancers.

“Maintaining an appropriate chromatin structure is essential for normal development, and, not surprisingly, defects in chromatin components can lead to several diseases,” said study author François Robert, PhD, of Institut de Recherches Cliniques de Montréal in Québec, Canada.

In studying chromatin, Dr Robert and his colleagues have been interested in a histone variant called H2A.Z.

The researchers knew that H2A.Z is incorporated into promoter regions of the gene by SWR-C-related chromatin remodeling complexes, but they wanted to determine if H2A.Z is actively excluded from non-promoter regions.

“With this study, we discovered that 2 other proteins, FACT and Spt6, play an important role in the location of H2A.Z,” said Célia Jeronimo, PhD, a research associate in Dr Robert’s lab.

The team found that FACT and SPt6 both help keep H2A.Z from accumulating in intragenic regions. When either histone chaperone is absent, H2A.Z is mislocalized, which alters chromatin composition and contributes to cryptic transcription.

“Inappropriate H2A.Z localization has previously been observed in cancer cells, but little was understood about the consequences of this phenomenon,” Dr Robert said.

“Although our study was performed in yeast cells, it suggests that mislocalization of H2A.Z may lead to cryptic transcription in some types of cancer such as lymphoma, and this may contribute to the disease. Our next step is therefore to investigate the possible role of H2A.Z and its associated gene expression defects in cancer cells.”

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DNA coiled around histones

Image by Eric Smith

Researchers say they have identified histone chaperones that play an important role in the structure of chromatin.

The team believes this finding, published in Molecular Cell, could lead to a better understanding of lymphomas and other cancers.

“Maintaining an appropriate chromatin structure is essential for normal development, and, not surprisingly, defects in chromatin components can lead to several diseases,” said study author François Robert, PhD, of Institut de Recherches Cliniques de Montréal in Québec, Canada.

In studying chromatin, Dr Robert and his colleagues have been interested in a histone variant called H2A.Z.

The researchers knew that H2A.Z is incorporated into promoter regions of the gene by SWR-C-related chromatin remodeling complexes, but they wanted to determine if H2A.Z is actively excluded from non-promoter regions.

“With this study, we discovered that 2 other proteins, FACT and Spt6, play an important role in the location of H2A.Z,” said Célia Jeronimo, PhD, a research associate in Dr Robert’s lab.

The team found that FACT and SPt6 both help keep H2A.Z from accumulating in intragenic regions. When either histone chaperone is absent, H2A.Z is mislocalized, which alters chromatin composition and contributes to cryptic transcription.

“Inappropriate H2A.Z localization has previously been observed in cancer cells, but little was understood about the consequences of this phenomenon,” Dr Robert said.

“Although our study was performed in yeast cells, it suggests that mislocalization of H2A.Z may lead to cryptic transcription in some types of cancer such as lymphoma, and this may contribute to the disease. Our next step is therefore to investigate the possible role of H2A.Z and its associated gene expression defects in cancer cells.”

DNA coiled around histones

Image by Eric Smith

Researchers say they have identified histone chaperones that play an important role in the structure of chromatin.

The team believes this finding, published in Molecular Cell, could lead to a better understanding of lymphomas and other cancers.

“Maintaining an appropriate chromatin structure is essential for normal development, and, not surprisingly, defects in chromatin components can lead to several diseases,” said study author François Robert, PhD, of Institut de Recherches Cliniques de Montréal in Québec, Canada.

In studying chromatin, Dr Robert and his colleagues have been interested in a histone variant called H2A.Z.

The researchers knew that H2A.Z is incorporated into promoter regions of the gene by SWR-C-related chromatin remodeling complexes, but they wanted to determine if H2A.Z is actively excluded from non-promoter regions.

“With this study, we discovered that 2 other proteins, FACT and Spt6, play an important role in the location of H2A.Z,” said Célia Jeronimo, PhD, a research associate in Dr Robert’s lab.

The team found that FACT and SPt6 both help keep H2A.Z from accumulating in intragenic regions. When either histone chaperone is absent, H2A.Z is mislocalized, which alters chromatin composition and contributes to cryptic transcription.

“Inappropriate H2A.Z localization has previously been observed in cancer cells, but little was understood about the consequences of this phenomenon,” Dr Robert said.

“Although our study was performed in yeast cells, it suggests that mislocalization of H2A.Z may lead to cryptic transcription in some types of cancer such as lymphoma, and this may contribute to the disease. Our next step is therefore to investigate the possible role of H2A.Z and its associated gene expression defects in cancer cells.”

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Improving Patient Satisfaction

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Improving patient satisfaction through physician education, feedback, and incentives

INTRODUCTION

Patient experience and satisfaction is intrinsically valued, as strong physician‐patient communication, empathy, and patient comfort require little justification. However, studies have also shown that patient satisfaction is associated with better health outcomes and greater compliance.[1, 2, 3] A systematic review of studies linking patient satisfaction to outcomes found that patient experience is positively associated with patient safety, clinical effectiveness, health outcomes, adherence, and lower resource utilization.[4] Of 378 associations studied between patient experience and health outcomes, there were 312 positive associations.[4] However, not all studies have shown a positive association between patient satisfaction and outcomes.

Nevertheless, hospitals now have to strive to improve patient satisfaction, as Centers for Medicare & Medicaid Services (CMS) has introduced Hospital Value‐Based Purchasing. CMS started to withhold Medicare Severity Diagnosis‐Related Groups payments, starting at 1.0% in 2013, 1.25% in 2014, and increasing to 2.0% in 2017. This money is redistributed based on performance on core quality measures, including patient satisfaction measured through the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey.[5]

Various studies have evaluated interventions to improve patient satisfaction, but to our knowledge, no study published in a peer‐reviewed research journal has shown a significant improvement in HCAHPS scores.[6, 7, 8, 9, 10, 11, 12] Levinson et al. argue that physician communication skills should be taught during residency, and that individualized feedback is an effective way to allow physicians to track their progress over time and compared to their peers.[13] We thus aimed to evaluate an intervention to improve patient satisfaction designed by the Patient Affairs Department for Ronald Reagan University of California, Los Angeles (UCLA) Medical Center (RRUCLAMC) and the UCLA Department of Medicine.

METHODOLOGY

Design Overview

The intervention for the IM residents consisted of education on improving physician‐patient communication provided at a conference, frequent individualized patient feedback, and an incentive program in addition to existing patient satisfaction training. The results of the intervention were measured by comparing the postintervention HCAHPS scores in the Department of Medicine versus the rest of the hospital and the national averages.

Setting and Participants

The study setting was RRUCLAMC, a large university‐affiliated academic center. The internal medicine (IM) residents and patients in the Department of Medicine were in the intervention cohort. The residents in all other departments that were involved with direct adult patient care and their patients were the control cohort. Our intervention targeted resident physicians because they were most involved in the majority of direct patient care at RRUCLAMC. Residents are in house 24 hours a day, are the first line of contact for nurses and patients, and provide the most continuity, as attendings often rotate every 1 to 2 weeks, but residents are on service for at least 2 to 4 weeks for each rotation. IM residents are on all inpatient general medicine, critical care, and cardiology services at RRUCLAMC. RRUMCLA does not have a nonteaching service for adult IM patients.

Interventions

Since 2006, there has been a program at RRUCLAMC called Assessing Residents' CICARE (ARC). CICARE is an acronym that represents UCLA's patient communication model and training elements (Connect with patients, Introduce yourself and role, Communicate, Ask and anticipate, Respond, Exit courteously). The ARC program consists of trained undergraduate student volunteers surveying hospitalized patients with an optional and anonymous survey regarding specific resident physician's communication skills (see Supporting Information, Appendix A, in the online version of this article). Patients were randomly selected for the ARC and HCAHPS survey, but they were selected separately for each survey. There may have been some overlap between patients selected for ARC and HCAHPS surveys. Residents received feedback from 7 to 10 patients a year on average.

The volunteers show the patients a picture of individual resident physicians assigned to their care to confirm the resident's identity. The volunteer then asks 18 multiple‐choice questions about their physician‐patient communication skills. The patients are also asked to provide general comments regarding the resident physician.[14] The patients were interviewed in private hospital rooms by ARC volunteers. No information linking the patient to the survey is recorded. Survey data are entered into a database, and individual residents are assigned a code that links them to their patient feedback. These survey results and comments are sent to the program directors of the residency programs weekly. However, a review of the practice revealed that results were only reviewed semiannually by the residents with their program director.

Starting December 2011, the results of the ARC survey were directly e‐mailed to the interns and residents in the Department of Medicine in real time while they were on general medicine wards and the cardiology inpatient service at RRUCLAMC. Residents in other departments at RRUCLAMC continued to review the patient feedback with program directors at most biannually. This continued until June 2012 and had to be stopped during July 2012 because many of the CICARE volunteers were away on summer break.

Starting January 2012, IM residents who stood out in the ARC survey received a Commendation of Excellence. Each month, 3 residents were selected for this award based on their patient comments and if they had over 90% overall satisfaction on the survey questions. These residents received department‐wide recognition via e‐mail and a movie package (2 movie tickets, popcorn, and a drink) as a reward.

In January 2012, a 1‐hour lunchtime conference was held for IM residents to discuss best practices in physician‐patient communication, upcoming changes with Hospital Value‐Based Purchasing, and strengths and weaknesses of the Department of Medicine in patient communication. About 50% of the IM residents included in the study arm were not able to attend the education session and so no universal training was provided.

Outcomes

We analyzed the before and after intervention impact on the HCAHPS results. HCAHPS is a standardized national survey measuring patient perspectives after they are discharged from hospitals across the nation. The survey addresses communication with doctors and nurses, responsiveness of hospital staff, pain management, communication about medicines, discharge information, cleanliness of the hospital environment, and quietness of the hospital environment. The survey also includes demographic questions.[15]

Our analysis focused on the following specific questions: Would you recommend this hospital to your friends and family? During this hospital stay, how often did doctors: (1) treat you with courtesy and respect, (2) listen carefully to you, and (3) explain things in a way you could understand? Responders who did not answer all of the above questions were excluded.

Our outcomes focused on the change from January to June 2011 to January to June 2012, during which time the intervention was ongoing. We did not include data past July 2012 in the primary outcome, because the intervention did not continue due to volunteers being away for summer break. In addition, July also marks the time when the third‐year IM residents graduate and the new interns start. Thus, one‐third of the residents in the IM department had never been exposed to the intervention after June of 2012.

Statistical Analysis

We used a difference‐in‐differences regression analysis (DDRA) for these outcomes and controlled for other covariates in the patient populations to predict adjusted probabilities for each of the outcomes studied. The key predictors in the models were indicator variables for year (2011, 2012) and service (IM, all others) and an interaction between year and service. We controlled for perceived patient health, admission through emergency room (ER), age, race, patient education level, intensive care unit (ICU) stay, length of stay, and gender.[16] We calculated adjusted probabilities for each level of the interaction between service and year, holding all controls at their means. The 95% confidence intervals for these predictions were generated using the delta method.

We compared the changes in HCAHPS results for the RRUCLAMC Department of Medicine patients with all other RRUCLAMC department patients and to the national averages. We only had access to national average point estimates and not individual responses from the national sample and so were unable to do statistical analysis involving the national cohort. The prespecified significant P value was 0.05. Stata 13 (StataCorp, College Station, TX) was used for statistical analysis. The study received institutional review board exempt status.

RESULTS

Sample Size and Excluded Cases

There were initially 3637 HCAHPS patient cases. We dropped all HCAHPS cases that were missing values for outcome or demographic/explanatory variables. We dropped 226 cases due to 1 or more missing outcome variables, and we dropped 322 cases due to 1 or more missing demographic/explanatory variables. This resulted in 548 total dropped cases and a final sample size of 3089 (see Supporting Information, Appendix B, in the online version of this article). Of the 548 dropped cases, 228 cases were in the IM cohort and 320 cases from the rest of the hospital. There were 993 patients in the UCLA IM cohort and 2096 patients in the control cohort from all other UCLA adult departments. Patients excluded due to missing data were similar to the patients included in the final analysis except for 2 differences. Patients excluded were older (63 years vs 58 years, P<0.01) and more likely to have been admitted from the ER (57.4% vs 39.6%, P<0.01) than the patients we had included.

Patient Characteristics

The patient population demographics from all patients discharged from RRUCLAMC who completed HCAHPS surveys January to June 2011 and 2012 are displayed in Table 1. In both 2011 and 2012, the patients in the IM cohort were significantly older, more likely to be male, had lower perceived health, and more likely to be admitted through the emergency room than the HCAHPS patients in all other UCLA adult departments. In 2011, the IM cohort had a lower percentage of patients than the non‐IM cohort that required an ICU stay (8.0% vs 20.5%, P<0.01), but there was no statistically significant difference in 2012 (20.6% vs 20.8%, P=0.9). Other than differences in ICU stay, the demographic characteristics from 2011 to 2012 did not change in the intervention and control cohorts. The response rate for UCLA on HCAHPS during the study period was 29%, consistent with national results.[17, 18]

Demographics of Patients Discharged From Ronald Reagan UCLA Medical Center Who Completed Hospital Consumer Assessment of Healthcare Providers and Systems Survey From January to June of 2011 and 2012
 2011 2012
UCLA Internal MedicineAll Other UCLA Adult DepartmentsPUCLA Internal MedicineAll Other UCLA Adult DepartmentsP
  • NOTE: Abbreviations: UCLA, University of California, Los Angeles.

Total no.465865 5281,231 
Age, y62.855.3<0.0165.154.9<0.01
Length of stay, d5.75.70.945.84.90.19
Gender, male56.644.1<0.0155.341.4<0.01
Education (4 years of college or greater)47.349.30.547.351.30.13
Patient‐perceived overall health (responding very good or excellent)30.555.0<0.0127.558.2<0.01
Admission through emergency room, yes75.523.8<0.0172.423.1<0.01
Intensive care unit, yes8.020.5<0.0120.620.80.9
Ethnicity (non‐Hispanic white)63.261.40.662.560.90.5

Difference‐in‐Differences Regression Analysis

The adjusted results of the DDRA for the physician‐related HCAHPS questions are presented in Table 2. The adjusted results for the percentage of patients responding positively to all 3 physician‐related HCAHPS questions in the DDRA increased by 8.1% in the IM cohort (from 65.7% to 73.8%) and by 1.5% in the control cohort (from 64.4% to 65.9%) (P=0.04). The adjusted results for the percentage of patients responding always to How often did doctors treat you with courtesy and respect? in the DDRA increased by 5.1% (from 83.8% to 88.9%) in the IM cohort and by 1.0% (from 83.3% to 84.3%) in the control cohort (P=0.09). The adjusted results for the percentage of patients responding always to Does your doctor listen carefully to you? in the DDRA increased by 6.0% in the IM department (75.6% to 81.6%) and by 1.2% (75.2% to 76.4%) in the control (P=0.1). The adjusted results for the percentage of patients responding always to Does your doctor explain things in a way you could understand? in the DDRA increased by 7.8% in the IM department (from 72.1% to 79.9%) and by 1.0% in the control cohort (from 72.2% to 73.2%) (P=0.03). There was no more than 3.1% absolute increase in any of the 4 questions in the national average. There was also a significant improvement in percentage of patients who would definitely recommend this hospital to their friends and family. The adjusted results in the DDRA for the percentage of patients responding that they would definitely recommend this hospital increased by 7.1% in the IM cohort (from 82.7% to 89.8%) and 1.5% in the control group (from 84.1% to 85.6%) (P=0.02).

Predicted Probabilities for HCAHPS Questions After Adjustment With Difference‐in‐Differences Regression Model*
 UCLA IMAll Other UCLA Adult DepartmentsNational Average
  • NOTE: Abbreviations: CI, confidence interval; HCAHPS, Hospital Consumer Assessment of Healthcare Providers and Systems; IM, internal medicine; UCLA, University of California Los Angeles. *Difference‐in‐differences regression model controlled for patient health, emergency room admission, age, race, education, intensive care unit stay, length of stay, and gender.

% Patients responding that their doctors always treated them with courtesy and respect
January to June 2011, preintervention (95% CI)83.8 (80.587.1)83.3 (80.785.9)82.4
January to June 2012, postintervention88.9 (86.391.4)84.3 (82.186.5)85.5
Change from 2011 to 2012, January to June5.11.03.1
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 4.1 
P value of difference in differences between IM and the rest of the hospital 0.09 
% Patients responding that their doctors always listened carefully
January to June 2011, preintervention (95% CI)75.6 (71.779.5)75.2 (72.278.1)76.4
January to June 2012, postintervention (95% CI)81.6 (78.484.8)76.4 (73.978.9)73.7
Change from 2011 to 2012, January to June6.01.22.7
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 4.6 
P value of difference in differences between IM and the rest of the hospital 0.1 
% Patients responding that their doctors always explained things in a way they could understand
January to June 2011, preintervention (95% CI)72.1 (6876.1)72.2 (69.275.4)70.1
January to June 2012, postintervention79.9 (76.683.1)73.2 (70.675.8)72.2
Change from 2011 to 2012, January to June7.81.02.1
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 6.8 
P value of difference in differences between IM and the rest of the hospital 0.03 
% Patients responding "always" for all 3 physician‐related HCAHPS questions
January to June 2011, preintervention (95% CI)65.7 (61.370.1)64.4 (61.267.7)80.1
January to June 2012, postintervention73.8 (70.177.5)65.9 (63.168.6)87.8
Change from 2011 to 2012, January to June8.11.57.7
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 6.6 
P value of difference in differences between IM and the rest of the hospital 0.04 
% Patients who would definitely recommend this hospital to their friends and family
January to June 2011, preintervention (95% CI)82.7 (79.386.1)84.1 (81.586.6)68.8
January to June 2012, postintervention89.8 (87.392.3)85.6 (83.587.7)71.2
Change from 2011 to 2012, January to June7.11.52.4
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 5.6 
P value of difference in differences between IM and the rest of the hospital 0.02 

DISCUSSION

Our intervention, which included real‐time feedback to physicians on results of the patient survey, monthly recognition of physicians who stood out on this survey, and an educational conference, was associated with a clear improvement in patient satisfaction with physician‐patient communication and overall recommendation of the hospital. These results are significant because they demonstrate a cost‐effective intervention that can be applied to academic hospitals across the country with the use of nonmedically trained volunteers, such as the undergraduate volunteers involved in our program. The limited costs associated with the intervention were the time in managing the volunteers and movie package award ($20). To our knowledge, it is the first study published in a peer‐reviewed research journal that has demonstrated an intervention associated with significant improvements in HCAHPS scores, the standard by which CMS reimbursement will be affected.

The improvements associated with this intervention could be very valuable to hospitals and patient care. The positive correlation of higher patient satisfaction with improved outcomes suggests this intervention may have additional benefits.[4] Last, these improvements in patient satisfaction in the HCAHPS scores could minimize losses to hospital revenue, as hospitals with low patient‐satisfaction scores will be penalized.

There was a statistically significant improvement in adjusted scores for the question Did your physicians explain things understandably? with patients responding always to all 3 physician‐related HCAHPS questions and Would you recommend this hospital to friends and family. The results for the 2 other physician‐related questions (Did your doctor explain things understandably? and Did your doctor listen carefully?) did show a trend toward significance, with p values of <0.1, and a larger study may have been better powered to detect a statistically significant difference. The improvement in response to the adjusted scores for the question Did your physicians explain things understandably? was the primary driver in the improvement in the adjusted percentage of patients who responded always to all 3 physician‐related HCAHPS questions. This was likely because the IM cohort had the lowest score on this question, and so the feedback to the residents may have helped to address this area of weakness. The UCLA IM HCAHPS scores prior to 2012 have always been lower than other programs at UCLA. As a result, we do not believe the change was due to a regression to the mean.

We believe that the intervention had a positive effect on patient satisfaction for several reasons. The regular e‐mails with the results of the survey may have served as a reminder to residents that patient satisfaction was being monitored and linked to them. The immediate and individualized feedback also may have facilitated adjustments of clinical practice in real time. The residents were able to compare their own scores and comments to the anonymous results of their peers. The monthly department‐wide recognition for residents who excelled in patient communication may have created an incentive and competition among the residents. It is possible that there may be an element of the Hawthorne effect that explained the improvement in HCAHPS scores. However, all of the residents in the departments studied were already being measured through the ARC survey. The primary change was more frequent reporting of ARC survey results, and so we believe that perception of measurement alone was less likely driving the results. The findings from this study are similar to those from provider‐specific report cards, which have shown that outcomes can be improved by forcing greater accountability and competition among physicians.[19]

Brown et al. demonstrated that 2, 4‐hour physician communication workshops in their study had no impact on patient satisfaction, and so we believe that our 1‐hour workshop with only 50% attendance had minimal impact on the improved patient satisfaction scores in our study.[20] Our intervention also coincided with the implementation of the Accreditation Council for Graduate Medical Education (ACGME) work‐hour restrictions implemented in July 2011. These restrictions limited residents to 80 hours per week, intern duty periods were restricted to 16 hours and residents to 28 hours, and interns and residents required 8 to 10 hours free of duty between scheduled duty periods.[21] One of the biggest impacts of ACGME work‐hour restrictions was that interns were doing more day and night shifts rather than 28‐hour calls. However, these work‐hour restrictions were the same for all specialties and so were unlikely to explain the improved patient satisfaction associated with our intervention.

Our study has limitations. The study was a nonrandomized pre‐post study. We attempted to control for the differences in the cohorts with a multivariable regression analysis, but there may be unmeasured differences that we were unable to control for. Due to deidentification of the data, we could only control for patient health based on patient perceived health. In addition, the percentage of patients requiring ICU care in the IM cohort was higher in 2012 than in 2011. We did not identify differences in outcomes from analyses stratified by ICU or non‐ICU patients. In addition, patients who were excluded because of missing outcomes were more likely to be older and admitted through the ER. Further investigation would be needed to see if the findings of this study could be extended to other clinical situations.

In conclusion, our study found an intervention program that was associated with a significant improvement in patient satisfaction in the intervention cohort, even after adjusting for differences in the patient population, whereas there was no change in the control group. This intervention can serve as a model for academic hospitals to improve patient satisfaction, avoid revenue loss in the era of Hospital Value‐Based Purchasing, and to train the next generation of physicians on providing patient‐centered care.

Disclosure

This work was supported by the Beryl Institute and UCLA QI Initiative.

Files
References
  1. Boulding W, Glickman SW, Manary MP, Schulman KA, Staelin R. Relationship between patient satisfaction with inpatient care and hospital readmission within 30 Days. Am J Manag Care. 2011;17:4148.
  2. Jha AK, Orav EJ, Zheng J, Epstein AM. Patients' Perception of Hospital Care in the United States. N Engl J Med. 2008;359:19211931.
  3. Glickman SW, Boulding W, Manary M, et al. Patient satisfaction and its relationship with clinical quality and inpatient mortality in acute myocardial infarction. Circ Cardiovasc Qual Outcomes. 2010;3:188195.
  4. Doyle C, Lennox L, Bell D. A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open. 2013;3(1).
  5. Centers for Medicare 70:729732.
  6. Mayer TA, Cates RJ, Mastorovich MJ, Royalty DL. Emergency department patient satisfaction: customer service training improves patient satisfaction and ratings of physician and nurse skill. J Healthc Manag. 1998;43:427440; discussion 441–442.
  7. Kologlu M, Agalar F, Cakmakci M. Emergency department information: does it effect patients' perception and satisfaction about the care given in an emergency department? Eur J Emerg Med 1999;6:245248.
  8. Lau FL. Can communication skills workshops for emergency department doctors improve patient satisfaction? J Accid Emerg Med. 2000;17:251253.
  9. Joos SK, Hickam DH, Gordon GH, Baker LH. Effects of a physician communication intervention on patient care outcomes. J Gen Intern Med. 1996;11:147155.
  10. Detmar SB, Muller MJ, Schornagel JH, Wever LD, Aaronson NK. Health‐related quality‐of‐life assessments and patient‐physician communication: a randomized controlled trial. JAMA. 2002;288:30273034.
  11. Cope DW, Linn LS, Leake BD, Barrett PA. Modification of residents' behavior by preceptor feedback of patient satisfaction. J Gen Intern Med. 1986;1:394398.
  12. Levinson W, Lesser CS, Epstein RM. Developing physician communication skills for patient‐centered care. Health Aff (Millwood) 2010;29:13101318.
  13. ARC Medical Program @ UCLA. Available at: http://Arcmedicalprogram.Wordpress.com. Accessed July 1, 2013.
  14. Hospital Consumer Assessment of Healthcare Providers 12:151162.
  15. Summary of HCAHPS survey results January 2010 to December 2010 discharges. Available at: http://Www.Hcahpsonline.Org/Files/Hcahps survey results table %28report_Hei_October_2011_States%29.Pdf. Accessed October 18, 2013.
  16. Elliott MN, Brown JA, Lehrman WG, et al. A randomized experiment investigating the suitability of speech‐enabled IVR and web modes for publicly reported surveys of patients' experience of hospital care. Med Care Res Rev. 2013;70:165184.
  17. McNamara P. Provider‐specific report cards: a tool for health sector accountability in developing countries. Health Policy Plan. 2006;21:101109.
  18. Brown JB, Boles M, Mullooly JP, Levinson W. Effect of clinician communication skills training on patient satisfaction: a randomized, controlled trial. Ann Intern Med. 1999;131:822829.
  19. Frequently asked questions: ACGME common duty hour requirements. Available at: http://www.Acgme.Org/Acgmeweb/Portals/0/Pdfs/Dh‐Faqs2011.Pdf. Accessed January 3, 2015.
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INTRODUCTION

Patient experience and satisfaction is intrinsically valued, as strong physician‐patient communication, empathy, and patient comfort require little justification. However, studies have also shown that patient satisfaction is associated with better health outcomes and greater compliance.[1, 2, 3] A systematic review of studies linking patient satisfaction to outcomes found that patient experience is positively associated with patient safety, clinical effectiveness, health outcomes, adherence, and lower resource utilization.[4] Of 378 associations studied between patient experience and health outcomes, there were 312 positive associations.[4] However, not all studies have shown a positive association between patient satisfaction and outcomes.

Nevertheless, hospitals now have to strive to improve patient satisfaction, as Centers for Medicare & Medicaid Services (CMS) has introduced Hospital Value‐Based Purchasing. CMS started to withhold Medicare Severity Diagnosis‐Related Groups payments, starting at 1.0% in 2013, 1.25% in 2014, and increasing to 2.0% in 2017. This money is redistributed based on performance on core quality measures, including patient satisfaction measured through the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey.[5]

Various studies have evaluated interventions to improve patient satisfaction, but to our knowledge, no study published in a peer‐reviewed research journal has shown a significant improvement in HCAHPS scores.[6, 7, 8, 9, 10, 11, 12] Levinson et al. argue that physician communication skills should be taught during residency, and that individualized feedback is an effective way to allow physicians to track their progress over time and compared to their peers.[13] We thus aimed to evaluate an intervention to improve patient satisfaction designed by the Patient Affairs Department for Ronald Reagan University of California, Los Angeles (UCLA) Medical Center (RRUCLAMC) and the UCLA Department of Medicine.

METHODOLOGY

Design Overview

The intervention for the IM residents consisted of education on improving physician‐patient communication provided at a conference, frequent individualized patient feedback, and an incentive program in addition to existing patient satisfaction training. The results of the intervention were measured by comparing the postintervention HCAHPS scores in the Department of Medicine versus the rest of the hospital and the national averages.

Setting and Participants

The study setting was RRUCLAMC, a large university‐affiliated academic center. The internal medicine (IM) residents and patients in the Department of Medicine were in the intervention cohort. The residents in all other departments that were involved with direct adult patient care and their patients were the control cohort. Our intervention targeted resident physicians because they were most involved in the majority of direct patient care at RRUCLAMC. Residents are in house 24 hours a day, are the first line of contact for nurses and patients, and provide the most continuity, as attendings often rotate every 1 to 2 weeks, but residents are on service for at least 2 to 4 weeks for each rotation. IM residents are on all inpatient general medicine, critical care, and cardiology services at RRUCLAMC. RRUMCLA does not have a nonteaching service for adult IM patients.

Interventions

Since 2006, there has been a program at RRUCLAMC called Assessing Residents' CICARE (ARC). CICARE is an acronym that represents UCLA's patient communication model and training elements (Connect with patients, Introduce yourself and role, Communicate, Ask and anticipate, Respond, Exit courteously). The ARC program consists of trained undergraduate student volunteers surveying hospitalized patients with an optional and anonymous survey regarding specific resident physician's communication skills (see Supporting Information, Appendix A, in the online version of this article). Patients were randomly selected for the ARC and HCAHPS survey, but they were selected separately for each survey. There may have been some overlap between patients selected for ARC and HCAHPS surveys. Residents received feedback from 7 to 10 patients a year on average.

The volunteers show the patients a picture of individual resident physicians assigned to their care to confirm the resident's identity. The volunteer then asks 18 multiple‐choice questions about their physician‐patient communication skills. The patients are also asked to provide general comments regarding the resident physician.[14] The patients were interviewed in private hospital rooms by ARC volunteers. No information linking the patient to the survey is recorded. Survey data are entered into a database, and individual residents are assigned a code that links them to their patient feedback. These survey results and comments are sent to the program directors of the residency programs weekly. However, a review of the practice revealed that results were only reviewed semiannually by the residents with their program director.

Starting December 2011, the results of the ARC survey were directly e‐mailed to the interns and residents in the Department of Medicine in real time while they were on general medicine wards and the cardiology inpatient service at RRUCLAMC. Residents in other departments at RRUCLAMC continued to review the patient feedback with program directors at most biannually. This continued until June 2012 and had to be stopped during July 2012 because many of the CICARE volunteers were away on summer break.

Starting January 2012, IM residents who stood out in the ARC survey received a Commendation of Excellence. Each month, 3 residents were selected for this award based on their patient comments and if they had over 90% overall satisfaction on the survey questions. These residents received department‐wide recognition via e‐mail and a movie package (2 movie tickets, popcorn, and a drink) as a reward.

In January 2012, a 1‐hour lunchtime conference was held for IM residents to discuss best practices in physician‐patient communication, upcoming changes with Hospital Value‐Based Purchasing, and strengths and weaknesses of the Department of Medicine in patient communication. About 50% of the IM residents included in the study arm were not able to attend the education session and so no universal training was provided.

Outcomes

We analyzed the before and after intervention impact on the HCAHPS results. HCAHPS is a standardized national survey measuring patient perspectives after they are discharged from hospitals across the nation. The survey addresses communication with doctors and nurses, responsiveness of hospital staff, pain management, communication about medicines, discharge information, cleanliness of the hospital environment, and quietness of the hospital environment. The survey also includes demographic questions.[15]

Our analysis focused on the following specific questions: Would you recommend this hospital to your friends and family? During this hospital stay, how often did doctors: (1) treat you with courtesy and respect, (2) listen carefully to you, and (3) explain things in a way you could understand? Responders who did not answer all of the above questions were excluded.

Our outcomes focused on the change from January to June 2011 to January to June 2012, during which time the intervention was ongoing. We did not include data past July 2012 in the primary outcome, because the intervention did not continue due to volunteers being away for summer break. In addition, July also marks the time when the third‐year IM residents graduate and the new interns start. Thus, one‐third of the residents in the IM department had never been exposed to the intervention after June of 2012.

Statistical Analysis

We used a difference‐in‐differences regression analysis (DDRA) for these outcomes and controlled for other covariates in the patient populations to predict adjusted probabilities for each of the outcomes studied. The key predictors in the models were indicator variables for year (2011, 2012) and service (IM, all others) and an interaction between year and service. We controlled for perceived patient health, admission through emergency room (ER), age, race, patient education level, intensive care unit (ICU) stay, length of stay, and gender.[16] We calculated adjusted probabilities for each level of the interaction between service and year, holding all controls at their means. The 95% confidence intervals for these predictions were generated using the delta method.

We compared the changes in HCAHPS results for the RRUCLAMC Department of Medicine patients with all other RRUCLAMC department patients and to the national averages. We only had access to national average point estimates and not individual responses from the national sample and so were unable to do statistical analysis involving the national cohort. The prespecified significant P value was 0.05. Stata 13 (StataCorp, College Station, TX) was used for statistical analysis. The study received institutional review board exempt status.

RESULTS

Sample Size and Excluded Cases

There were initially 3637 HCAHPS patient cases. We dropped all HCAHPS cases that were missing values for outcome or demographic/explanatory variables. We dropped 226 cases due to 1 or more missing outcome variables, and we dropped 322 cases due to 1 or more missing demographic/explanatory variables. This resulted in 548 total dropped cases and a final sample size of 3089 (see Supporting Information, Appendix B, in the online version of this article). Of the 548 dropped cases, 228 cases were in the IM cohort and 320 cases from the rest of the hospital. There were 993 patients in the UCLA IM cohort and 2096 patients in the control cohort from all other UCLA adult departments. Patients excluded due to missing data were similar to the patients included in the final analysis except for 2 differences. Patients excluded were older (63 years vs 58 years, P<0.01) and more likely to have been admitted from the ER (57.4% vs 39.6%, P<0.01) than the patients we had included.

Patient Characteristics

The patient population demographics from all patients discharged from RRUCLAMC who completed HCAHPS surveys January to June 2011 and 2012 are displayed in Table 1. In both 2011 and 2012, the patients in the IM cohort were significantly older, more likely to be male, had lower perceived health, and more likely to be admitted through the emergency room than the HCAHPS patients in all other UCLA adult departments. In 2011, the IM cohort had a lower percentage of patients than the non‐IM cohort that required an ICU stay (8.0% vs 20.5%, P<0.01), but there was no statistically significant difference in 2012 (20.6% vs 20.8%, P=0.9). Other than differences in ICU stay, the demographic characteristics from 2011 to 2012 did not change in the intervention and control cohorts. The response rate for UCLA on HCAHPS during the study period was 29%, consistent with national results.[17, 18]

Demographics of Patients Discharged From Ronald Reagan UCLA Medical Center Who Completed Hospital Consumer Assessment of Healthcare Providers and Systems Survey From January to June of 2011 and 2012
 2011 2012
UCLA Internal MedicineAll Other UCLA Adult DepartmentsPUCLA Internal MedicineAll Other UCLA Adult DepartmentsP
  • NOTE: Abbreviations: UCLA, University of California, Los Angeles.

Total no.465865 5281,231 
Age, y62.855.3<0.0165.154.9<0.01
Length of stay, d5.75.70.945.84.90.19
Gender, male56.644.1<0.0155.341.4<0.01
Education (4 years of college or greater)47.349.30.547.351.30.13
Patient‐perceived overall health (responding very good or excellent)30.555.0<0.0127.558.2<0.01
Admission through emergency room, yes75.523.8<0.0172.423.1<0.01
Intensive care unit, yes8.020.5<0.0120.620.80.9
Ethnicity (non‐Hispanic white)63.261.40.662.560.90.5

Difference‐in‐Differences Regression Analysis

The adjusted results of the DDRA for the physician‐related HCAHPS questions are presented in Table 2. The adjusted results for the percentage of patients responding positively to all 3 physician‐related HCAHPS questions in the DDRA increased by 8.1% in the IM cohort (from 65.7% to 73.8%) and by 1.5% in the control cohort (from 64.4% to 65.9%) (P=0.04). The adjusted results for the percentage of patients responding always to How often did doctors treat you with courtesy and respect? in the DDRA increased by 5.1% (from 83.8% to 88.9%) in the IM cohort and by 1.0% (from 83.3% to 84.3%) in the control cohort (P=0.09). The adjusted results for the percentage of patients responding always to Does your doctor listen carefully to you? in the DDRA increased by 6.0% in the IM department (75.6% to 81.6%) and by 1.2% (75.2% to 76.4%) in the control (P=0.1). The adjusted results for the percentage of patients responding always to Does your doctor explain things in a way you could understand? in the DDRA increased by 7.8% in the IM department (from 72.1% to 79.9%) and by 1.0% in the control cohort (from 72.2% to 73.2%) (P=0.03). There was no more than 3.1% absolute increase in any of the 4 questions in the national average. There was also a significant improvement in percentage of patients who would definitely recommend this hospital to their friends and family. The adjusted results in the DDRA for the percentage of patients responding that they would definitely recommend this hospital increased by 7.1% in the IM cohort (from 82.7% to 89.8%) and 1.5% in the control group (from 84.1% to 85.6%) (P=0.02).

Predicted Probabilities for HCAHPS Questions After Adjustment With Difference‐in‐Differences Regression Model*
 UCLA IMAll Other UCLA Adult DepartmentsNational Average
  • NOTE: Abbreviations: CI, confidence interval; HCAHPS, Hospital Consumer Assessment of Healthcare Providers and Systems; IM, internal medicine; UCLA, University of California Los Angeles. *Difference‐in‐differences regression model controlled for patient health, emergency room admission, age, race, education, intensive care unit stay, length of stay, and gender.

% Patients responding that their doctors always treated them with courtesy and respect
January to June 2011, preintervention (95% CI)83.8 (80.587.1)83.3 (80.785.9)82.4
January to June 2012, postintervention88.9 (86.391.4)84.3 (82.186.5)85.5
Change from 2011 to 2012, January to June5.11.03.1
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 4.1 
P value of difference in differences between IM and the rest of the hospital 0.09 
% Patients responding that their doctors always listened carefully
January to June 2011, preintervention (95% CI)75.6 (71.779.5)75.2 (72.278.1)76.4
January to June 2012, postintervention (95% CI)81.6 (78.484.8)76.4 (73.978.9)73.7
Change from 2011 to 2012, January to June6.01.22.7
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 4.6 
P value of difference in differences between IM and the rest of the hospital 0.1 
% Patients responding that their doctors always explained things in a way they could understand
January to June 2011, preintervention (95% CI)72.1 (6876.1)72.2 (69.275.4)70.1
January to June 2012, postintervention79.9 (76.683.1)73.2 (70.675.8)72.2
Change from 2011 to 2012, January to June7.81.02.1
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 6.8 
P value of difference in differences between IM and the rest of the hospital 0.03 
% Patients responding "always" for all 3 physician‐related HCAHPS questions
January to June 2011, preintervention (95% CI)65.7 (61.370.1)64.4 (61.267.7)80.1
January to June 2012, postintervention73.8 (70.177.5)65.9 (63.168.6)87.8
Change from 2011 to 2012, January to June8.11.57.7
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 6.6 
P value of difference in differences between IM and the rest of the hospital 0.04 
% Patients who would definitely recommend this hospital to their friends and family
January to June 2011, preintervention (95% CI)82.7 (79.386.1)84.1 (81.586.6)68.8
January to June 2012, postintervention89.8 (87.392.3)85.6 (83.587.7)71.2
Change from 2011 to 2012, January to June7.11.52.4
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 5.6 
P value of difference in differences between IM and the rest of the hospital 0.02 

DISCUSSION

Our intervention, which included real‐time feedback to physicians on results of the patient survey, monthly recognition of physicians who stood out on this survey, and an educational conference, was associated with a clear improvement in patient satisfaction with physician‐patient communication and overall recommendation of the hospital. These results are significant because they demonstrate a cost‐effective intervention that can be applied to academic hospitals across the country with the use of nonmedically trained volunteers, such as the undergraduate volunteers involved in our program. The limited costs associated with the intervention were the time in managing the volunteers and movie package award ($20). To our knowledge, it is the first study published in a peer‐reviewed research journal that has demonstrated an intervention associated with significant improvements in HCAHPS scores, the standard by which CMS reimbursement will be affected.

The improvements associated with this intervention could be very valuable to hospitals and patient care. The positive correlation of higher patient satisfaction with improved outcomes suggests this intervention may have additional benefits.[4] Last, these improvements in patient satisfaction in the HCAHPS scores could minimize losses to hospital revenue, as hospitals with low patient‐satisfaction scores will be penalized.

There was a statistically significant improvement in adjusted scores for the question Did your physicians explain things understandably? with patients responding always to all 3 physician‐related HCAHPS questions and Would you recommend this hospital to friends and family. The results for the 2 other physician‐related questions (Did your doctor explain things understandably? and Did your doctor listen carefully?) did show a trend toward significance, with p values of <0.1, and a larger study may have been better powered to detect a statistically significant difference. The improvement in response to the adjusted scores for the question Did your physicians explain things understandably? was the primary driver in the improvement in the adjusted percentage of patients who responded always to all 3 physician‐related HCAHPS questions. This was likely because the IM cohort had the lowest score on this question, and so the feedback to the residents may have helped to address this area of weakness. The UCLA IM HCAHPS scores prior to 2012 have always been lower than other programs at UCLA. As a result, we do not believe the change was due to a regression to the mean.

We believe that the intervention had a positive effect on patient satisfaction for several reasons. The regular e‐mails with the results of the survey may have served as a reminder to residents that patient satisfaction was being monitored and linked to them. The immediate and individualized feedback also may have facilitated adjustments of clinical practice in real time. The residents were able to compare their own scores and comments to the anonymous results of their peers. The monthly department‐wide recognition for residents who excelled in patient communication may have created an incentive and competition among the residents. It is possible that there may be an element of the Hawthorne effect that explained the improvement in HCAHPS scores. However, all of the residents in the departments studied were already being measured through the ARC survey. The primary change was more frequent reporting of ARC survey results, and so we believe that perception of measurement alone was less likely driving the results. The findings from this study are similar to those from provider‐specific report cards, which have shown that outcomes can be improved by forcing greater accountability and competition among physicians.[19]

Brown et al. demonstrated that 2, 4‐hour physician communication workshops in their study had no impact on patient satisfaction, and so we believe that our 1‐hour workshop with only 50% attendance had minimal impact on the improved patient satisfaction scores in our study.[20] Our intervention also coincided with the implementation of the Accreditation Council for Graduate Medical Education (ACGME) work‐hour restrictions implemented in July 2011. These restrictions limited residents to 80 hours per week, intern duty periods were restricted to 16 hours and residents to 28 hours, and interns and residents required 8 to 10 hours free of duty between scheduled duty periods.[21] One of the biggest impacts of ACGME work‐hour restrictions was that interns were doing more day and night shifts rather than 28‐hour calls. However, these work‐hour restrictions were the same for all specialties and so were unlikely to explain the improved patient satisfaction associated with our intervention.

Our study has limitations. The study was a nonrandomized pre‐post study. We attempted to control for the differences in the cohorts with a multivariable regression analysis, but there may be unmeasured differences that we were unable to control for. Due to deidentification of the data, we could only control for patient health based on patient perceived health. In addition, the percentage of patients requiring ICU care in the IM cohort was higher in 2012 than in 2011. We did not identify differences in outcomes from analyses stratified by ICU or non‐ICU patients. In addition, patients who were excluded because of missing outcomes were more likely to be older and admitted through the ER. Further investigation would be needed to see if the findings of this study could be extended to other clinical situations.

In conclusion, our study found an intervention program that was associated with a significant improvement in patient satisfaction in the intervention cohort, even after adjusting for differences in the patient population, whereas there was no change in the control group. This intervention can serve as a model for academic hospitals to improve patient satisfaction, avoid revenue loss in the era of Hospital Value‐Based Purchasing, and to train the next generation of physicians on providing patient‐centered care.

Disclosure

This work was supported by the Beryl Institute and UCLA QI Initiative.

INTRODUCTION

Patient experience and satisfaction is intrinsically valued, as strong physician‐patient communication, empathy, and patient comfort require little justification. However, studies have also shown that patient satisfaction is associated with better health outcomes and greater compliance.[1, 2, 3] A systematic review of studies linking patient satisfaction to outcomes found that patient experience is positively associated with patient safety, clinical effectiveness, health outcomes, adherence, and lower resource utilization.[4] Of 378 associations studied between patient experience and health outcomes, there were 312 positive associations.[4] However, not all studies have shown a positive association between patient satisfaction and outcomes.

Nevertheless, hospitals now have to strive to improve patient satisfaction, as Centers for Medicare & Medicaid Services (CMS) has introduced Hospital Value‐Based Purchasing. CMS started to withhold Medicare Severity Diagnosis‐Related Groups payments, starting at 1.0% in 2013, 1.25% in 2014, and increasing to 2.0% in 2017. This money is redistributed based on performance on core quality measures, including patient satisfaction measured through the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey.[5]

Various studies have evaluated interventions to improve patient satisfaction, but to our knowledge, no study published in a peer‐reviewed research journal has shown a significant improvement in HCAHPS scores.[6, 7, 8, 9, 10, 11, 12] Levinson et al. argue that physician communication skills should be taught during residency, and that individualized feedback is an effective way to allow physicians to track their progress over time and compared to their peers.[13] We thus aimed to evaluate an intervention to improve patient satisfaction designed by the Patient Affairs Department for Ronald Reagan University of California, Los Angeles (UCLA) Medical Center (RRUCLAMC) and the UCLA Department of Medicine.

METHODOLOGY

Design Overview

The intervention for the IM residents consisted of education on improving physician‐patient communication provided at a conference, frequent individualized patient feedback, and an incentive program in addition to existing patient satisfaction training. The results of the intervention were measured by comparing the postintervention HCAHPS scores in the Department of Medicine versus the rest of the hospital and the national averages.

Setting and Participants

The study setting was RRUCLAMC, a large university‐affiliated academic center. The internal medicine (IM) residents and patients in the Department of Medicine were in the intervention cohort. The residents in all other departments that were involved with direct adult patient care and their patients were the control cohort. Our intervention targeted resident physicians because they were most involved in the majority of direct patient care at RRUCLAMC. Residents are in house 24 hours a day, are the first line of contact for nurses and patients, and provide the most continuity, as attendings often rotate every 1 to 2 weeks, but residents are on service for at least 2 to 4 weeks for each rotation. IM residents are on all inpatient general medicine, critical care, and cardiology services at RRUCLAMC. RRUMCLA does not have a nonteaching service for adult IM patients.

Interventions

Since 2006, there has been a program at RRUCLAMC called Assessing Residents' CICARE (ARC). CICARE is an acronym that represents UCLA's patient communication model and training elements (Connect with patients, Introduce yourself and role, Communicate, Ask and anticipate, Respond, Exit courteously). The ARC program consists of trained undergraduate student volunteers surveying hospitalized patients with an optional and anonymous survey regarding specific resident physician's communication skills (see Supporting Information, Appendix A, in the online version of this article). Patients were randomly selected for the ARC and HCAHPS survey, but they were selected separately for each survey. There may have been some overlap between patients selected for ARC and HCAHPS surveys. Residents received feedback from 7 to 10 patients a year on average.

The volunteers show the patients a picture of individual resident physicians assigned to their care to confirm the resident's identity. The volunteer then asks 18 multiple‐choice questions about their physician‐patient communication skills. The patients are also asked to provide general comments regarding the resident physician.[14] The patients were interviewed in private hospital rooms by ARC volunteers. No information linking the patient to the survey is recorded. Survey data are entered into a database, and individual residents are assigned a code that links them to their patient feedback. These survey results and comments are sent to the program directors of the residency programs weekly. However, a review of the practice revealed that results were only reviewed semiannually by the residents with their program director.

Starting December 2011, the results of the ARC survey were directly e‐mailed to the interns and residents in the Department of Medicine in real time while they were on general medicine wards and the cardiology inpatient service at RRUCLAMC. Residents in other departments at RRUCLAMC continued to review the patient feedback with program directors at most biannually. This continued until June 2012 and had to be stopped during July 2012 because many of the CICARE volunteers were away on summer break.

Starting January 2012, IM residents who stood out in the ARC survey received a Commendation of Excellence. Each month, 3 residents were selected for this award based on their patient comments and if they had over 90% overall satisfaction on the survey questions. These residents received department‐wide recognition via e‐mail and a movie package (2 movie tickets, popcorn, and a drink) as a reward.

In January 2012, a 1‐hour lunchtime conference was held for IM residents to discuss best practices in physician‐patient communication, upcoming changes with Hospital Value‐Based Purchasing, and strengths and weaknesses of the Department of Medicine in patient communication. About 50% of the IM residents included in the study arm were not able to attend the education session and so no universal training was provided.

Outcomes

We analyzed the before and after intervention impact on the HCAHPS results. HCAHPS is a standardized national survey measuring patient perspectives after they are discharged from hospitals across the nation. The survey addresses communication with doctors and nurses, responsiveness of hospital staff, pain management, communication about medicines, discharge information, cleanliness of the hospital environment, and quietness of the hospital environment. The survey also includes demographic questions.[15]

Our analysis focused on the following specific questions: Would you recommend this hospital to your friends and family? During this hospital stay, how often did doctors: (1) treat you with courtesy and respect, (2) listen carefully to you, and (3) explain things in a way you could understand? Responders who did not answer all of the above questions were excluded.

Our outcomes focused on the change from January to June 2011 to January to June 2012, during which time the intervention was ongoing. We did not include data past July 2012 in the primary outcome, because the intervention did not continue due to volunteers being away for summer break. In addition, July also marks the time when the third‐year IM residents graduate and the new interns start. Thus, one‐third of the residents in the IM department had never been exposed to the intervention after June of 2012.

Statistical Analysis

We used a difference‐in‐differences regression analysis (DDRA) for these outcomes and controlled for other covariates in the patient populations to predict adjusted probabilities for each of the outcomes studied. The key predictors in the models were indicator variables for year (2011, 2012) and service (IM, all others) and an interaction between year and service. We controlled for perceived patient health, admission through emergency room (ER), age, race, patient education level, intensive care unit (ICU) stay, length of stay, and gender.[16] We calculated adjusted probabilities for each level of the interaction between service and year, holding all controls at their means. The 95% confidence intervals for these predictions were generated using the delta method.

We compared the changes in HCAHPS results for the RRUCLAMC Department of Medicine patients with all other RRUCLAMC department patients and to the national averages. We only had access to national average point estimates and not individual responses from the national sample and so were unable to do statistical analysis involving the national cohort. The prespecified significant P value was 0.05. Stata 13 (StataCorp, College Station, TX) was used for statistical analysis. The study received institutional review board exempt status.

RESULTS

Sample Size and Excluded Cases

There were initially 3637 HCAHPS patient cases. We dropped all HCAHPS cases that were missing values for outcome or demographic/explanatory variables. We dropped 226 cases due to 1 or more missing outcome variables, and we dropped 322 cases due to 1 or more missing demographic/explanatory variables. This resulted in 548 total dropped cases and a final sample size of 3089 (see Supporting Information, Appendix B, in the online version of this article). Of the 548 dropped cases, 228 cases were in the IM cohort and 320 cases from the rest of the hospital. There were 993 patients in the UCLA IM cohort and 2096 patients in the control cohort from all other UCLA adult departments. Patients excluded due to missing data were similar to the patients included in the final analysis except for 2 differences. Patients excluded were older (63 years vs 58 years, P<0.01) and more likely to have been admitted from the ER (57.4% vs 39.6%, P<0.01) than the patients we had included.

Patient Characteristics

The patient population demographics from all patients discharged from RRUCLAMC who completed HCAHPS surveys January to June 2011 and 2012 are displayed in Table 1. In both 2011 and 2012, the patients in the IM cohort were significantly older, more likely to be male, had lower perceived health, and more likely to be admitted through the emergency room than the HCAHPS patients in all other UCLA adult departments. In 2011, the IM cohort had a lower percentage of patients than the non‐IM cohort that required an ICU stay (8.0% vs 20.5%, P<0.01), but there was no statistically significant difference in 2012 (20.6% vs 20.8%, P=0.9). Other than differences in ICU stay, the demographic characteristics from 2011 to 2012 did not change in the intervention and control cohorts. The response rate for UCLA on HCAHPS during the study period was 29%, consistent with national results.[17, 18]

Demographics of Patients Discharged From Ronald Reagan UCLA Medical Center Who Completed Hospital Consumer Assessment of Healthcare Providers and Systems Survey From January to June of 2011 and 2012
 2011 2012
UCLA Internal MedicineAll Other UCLA Adult DepartmentsPUCLA Internal MedicineAll Other UCLA Adult DepartmentsP
  • NOTE: Abbreviations: UCLA, University of California, Los Angeles.

Total no.465865 5281,231 
Age, y62.855.3<0.0165.154.9<0.01
Length of stay, d5.75.70.945.84.90.19
Gender, male56.644.1<0.0155.341.4<0.01
Education (4 years of college or greater)47.349.30.547.351.30.13
Patient‐perceived overall health (responding very good or excellent)30.555.0<0.0127.558.2<0.01
Admission through emergency room, yes75.523.8<0.0172.423.1<0.01
Intensive care unit, yes8.020.5<0.0120.620.80.9
Ethnicity (non‐Hispanic white)63.261.40.662.560.90.5

Difference‐in‐Differences Regression Analysis

The adjusted results of the DDRA for the physician‐related HCAHPS questions are presented in Table 2. The adjusted results for the percentage of patients responding positively to all 3 physician‐related HCAHPS questions in the DDRA increased by 8.1% in the IM cohort (from 65.7% to 73.8%) and by 1.5% in the control cohort (from 64.4% to 65.9%) (P=0.04). The adjusted results for the percentage of patients responding always to How often did doctors treat you with courtesy and respect? in the DDRA increased by 5.1% (from 83.8% to 88.9%) in the IM cohort and by 1.0% (from 83.3% to 84.3%) in the control cohort (P=0.09). The adjusted results for the percentage of patients responding always to Does your doctor listen carefully to you? in the DDRA increased by 6.0% in the IM department (75.6% to 81.6%) and by 1.2% (75.2% to 76.4%) in the control (P=0.1). The adjusted results for the percentage of patients responding always to Does your doctor explain things in a way you could understand? in the DDRA increased by 7.8% in the IM department (from 72.1% to 79.9%) and by 1.0% in the control cohort (from 72.2% to 73.2%) (P=0.03). There was no more than 3.1% absolute increase in any of the 4 questions in the national average. There was also a significant improvement in percentage of patients who would definitely recommend this hospital to their friends and family. The adjusted results in the DDRA for the percentage of patients responding that they would definitely recommend this hospital increased by 7.1% in the IM cohort (from 82.7% to 89.8%) and 1.5% in the control group (from 84.1% to 85.6%) (P=0.02).

Predicted Probabilities for HCAHPS Questions After Adjustment With Difference‐in‐Differences Regression Model*
 UCLA IMAll Other UCLA Adult DepartmentsNational Average
  • NOTE: Abbreviations: CI, confidence interval; HCAHPS, Hospital Consumer Assessment of Healthcare Providers and Systems; IM, internal medicine; UCLA, University of California Los Angeles. *Difference‐in‐differences regression model controlled for patient health, emergency room admission, age, race, education, intensive care unit stay, length of stay, and gender.

% Patients responding that their doctors always treated them with courtesy and respect
January to June 2011, preintervention (95% CI)83.8 (80.587.1)83.3 (80.785.9)82.4
January to June 2012, postintervention88.9 (86.391.4)84.3 (82.186.5)85.5
Change from 2011 to 2012, January to June5.11.03.1
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 4.1 
P value of difference in differences between IM and the rest of the hospital 0.09 
% Patients responding that their doctors always listened carefully
January to June 2011, preintervention (95% CI)75.6 (71.779.5)75.2 (72.278.1)76.4
January to June 2012, postintervention (95% CI)81.6 (78.484.8)76.4 (73.978.9)73.7
Change from 2011 to 2012, January to June6.01.22.7
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 4.6 
P value of difference in differences between IM and the rest of the hospital 0.1 
% Patients responding that their doctors always explained things in a way they could understand
January to June 2011, preintervention (95% CI)72.1 (6876.1)72.2 (69.275.4)70.1
January to June 2012, postintervention79.9 (76.683.1)73.2 (70.675.8)72.2
Change from 2011 to 2012, January to June7.81.02.1
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 6.8 
P value of difference in differences between IM and the rest of the hospital 0.03 
% Patients responding "always" for all 3 physician‐related HCAHPS questions
January to June 2011, preintervention (95% CI)65.7 (61.370.1)64.4 (61.267.7)80.1
January to June 2012, postintervention73.8 (70.177.5)65.9 (63.168.6)87.8
Change from 2011 to 2012, January to June8.11.57.7
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 6.6 
P value of difference in differences between IM and the rest of the hospital 0.04 
% Patients who would definitely recommend this hospital to their friends and family
January to June 2011, preintervention (95% CI)82.7 (79.386.1)84.1 (81.586.6)68.8
January to June 2012, postintervention89.8 (87.392.3)85.6 (83.587.7)71.2
Change from 2011 to 2012, January to June7.11.52.4
Change in UCLA IM minus change in all other UCLA adult departments, difference in differences 5.6 
P value of difference in differences between IM and the rest of the hospital 0.02 

DISCUSSION

Our intervention, which included real‐time feedback to physicians on results of the patient survey, monthly recognition of physicians who stood out on this survey, and an educational conference, was associated with a clear improvement in patient satisfaction with physician‐patient communication and overall recommendation of the hospital. These results are significant because they demonstrate a cost‐effective intervention that can be applied to academic hospitals across the country with the use of nonmedically trained volunteers, such as the undergraduate volunteers involved in our program. The limited costs associated with the intervention were the time in managing the volunteers and movie package award ($20). To our knowledge, it is the first study published in a peer‐reviewed research journal that has demonstrated an intervention associated with significant improvements in HCAHPS scores, the standard by which CMS reimbursement will be affected.

The improvements associated with this intervention could be very valuable to hospitals and patient care. The positive correlation of higher patient satisfaction with improved outcomes suggests this intervention may have additional benefits.[4] Last, these improvements in patient satisfaction in the HCAHPS scores could minimize losses to hospital revenue, as hospitals with low patient‐satisfaction scores will be penalized.

There was a statistically significant improvement in adjusted scores for the question Did your physicians explain things understandably? with patients responding always to all 3 physician‐related HCAHPS questions and Would you recommend this hospital to friends and family. The results for the 2 other physician‐related questions (Did your doctor explain things understandably? and Did your doctor listen carefully?) did show a trend toward significance, with p values of <0.1, and a larger study may have been better powered to detect a statistically significant difference. The improvement in response to the adjusted scores for the question Did your physicians explain things understandably? was the primary driver in the improvement in the adjusted percentage of patients who responded always to all 3 physician‐related HCAHPS questions. This was likely because the IM cohort had the lowest score on this question, and so the feedback to the residents may have helped to address this area of weakness. The UCLA IM HCAHPS scores prior to 2012 have always been lower than other programs at UCLA. As a result, we do not believe the change was due to a regression to the mean.

We believe that the intervention had a positive effect on patient satisfaction for several reasons. The regular e‐mails with the results of the survey may have served as a reminder to residents that patient satisfaction was being monitored and linked to them. The immediate and individualized feedback also may have facilitated adjustments of clinical practice in real time. The residents were able to compare their own scores and comments to the anonymous results of their peers. The monthly department‐wide recognition for residents who excelled in patient communication may have created an incentive and competition among the residents. It is possible that there may be an element of the Hawthorne effect that explained the improvement in HCAHPS scores. However, all of the residents in the departments studied were already being measured through the ARC survey. The primary change was more frequent reporting of ARC survey results, and so we believe that perception of measurement alone was less likely driving the results. The findings from this study are similar to those from provider‐specific report cards, which have shown that outcomes can be improved by forcing greater accountability and competition among physicians.[19]

Brown et al. demonstrated that 2, 4‐hour physician communication workshops in their study had no impact on patient satisfaction, and so we believe that our 1‐hour workshop with only 50% attendance had minimal impact on the improved patient satisfaction scores in our study.[20] Our intervention also coincided with the implementation of the Accreditation Council for Graduate Medical Education (ACGME) work‐hour restrictions implemented in July 2011. These restrictions limited residents to 80 hours per week, intern duty periods were restricted to 16 hours and residents to 28 hours, and interns and residents required 8 to 10 hours free of duty between scheduled duty periods.[21] One of the biggest impacts of ACGME work‐hour restrictions was that interns were doing more day and night shifts rather than 28‐hour calls. However, these work‐hour restrictions were the same for all specialties and so were unlikely to explain the improved patient satisfaction associated with our intervention.

Our study has limitations. The study was a nonrandomized pre‐post study. We attempted to control for the differences in the cohorts with a multivariable regression analysis, but there may be unmeasured differences that we were unable to control for. Due to deidentification of the data, we could only control for patient health based on patient perceived health. In addition, the percentage of patients requiring ICU care in the IM cohort was higher in 2012 than in 2011. We did not identify differences in outcomes from analyses stratified by ICU or non‐ICU patients. In addition, patients who were excluded because of missing outcomes were more likely to be older and admitted through the ER. Further investigation would be needed to see if the findings of this study could be extended to other clinical situations.

In conclusion, our study found an intervention program that was associated with a significant improvement in patient satisfaction in the intervention cohort, even after adjusting for differences in the patient population, whereas there was no change in the control group. This intervention can serve as a model for academic hospitals to improve patient satisfaction, avoid revenue loss in the era of Hospital Value‐Based Purchasing, and to train the next generation of physicians on providing patient‐centered care.

Disclosure

This work was supported by the Beryl Institute and UCLA QI Initiative.

References
  1. Boulding W, Glickman SW, Manary MP, Schulman KA, Staelin R. Relationship between patient satisfaction with inpatient care and hospital readmission within 30 Days. Am J Manag Care. 2011;17:4148.
  2. Jha AK, Orav EJ, Zheng J, Epstein AM. Patients' Perception of Hospital Care in the United States. N Engl J Med. 2008;359:19211931.
  3. Glickman SW, Boulding W, Manary M, et al. Patient satisfaction and its relationship with clinical quality and inpatient mortality in acute myocardial infarction. Circ Cardiovasc Qual Outcomes. 2010;3:188195.
  4. Doyle C, Lennox L, Bell D. A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open. 2013;3(1).
  5. Centers for Medicare 70:729732.
  6. Mayer TA, Cates RJ, Mastorovich MJ, Royalty DL. Emergency department patient satisfaction: customer service training improves patient satisfaction and ratings of physician and nurse skill. J Healthc Manag. 1998;43:427440; discussion 441–442.
  7. Kologlu M, Agalar F, Cakmakci M. Emergency department information: does it effect patients' perception and satisfaction about the care given in an emergency department? Eur J Emerg Med 1999;6:245248.
  8. Lau FL. Can communication skills workshops for emergency department doctors improve patient satisfaction? J Accid Emerg Med. 2000;17:251253.
  9. Joos SK, Hickam DH, Gordon GH, Baker LH. Effects of a physician communication intervention on patient care outcomes. J Gen Intern Med. 1996;11:147155.
  10. Detmar SB, Muller MJ, Schornagel JH, Wever LD, Aaronson NK. Health‐related quality‐of‐life assessments and patient‐physician communication: a randomized controlled trial. JAMA. 2002;288:30273034.
  11. Cope DW, Linn LS, Leake BD, Barrett PA. Modification of residents' behavior by preceptor feedback of patient satisfaction. J Gen Intern Med. 1986;1:394398.
  12. Levinson W, Lesser CS, Epstein RM. Developing physician communication skills for patient‐centered care. Health Aff (Millwood) 2010;29:13101318.
  13. ARC Medical Program @ UCLA. Available at: http://Arcmedicalprogram.Wordpress.com. Accessed July 1, 2013.
  14. Hospital Consumer Assessment of Healthcare Providers 12:151162.
  15. Summary of HCAHPS survey results January 2010 to December 2010 discharges. Available at: http://Www.Hcahpsonline.Org/Files/Hcahps survey results table %28report_Hei_October_2011_States%29.Pdf. Accessed October 18, 2013.
  16. Elliott MN, Brown JA, Lehrman WG, et al. A randomized experiment investigating the suitability of speech‐enabled IVR and web modes for publicly reported surveys of patients' experience of hospital care. Med Care Res Rev. 2013;70:165184.
  17. McNamara P. Provider‐specific report cards: a tool for health sector accountability in developing countries. Health Policy Plan. 2006;21:101109.
  18. Brown JB, Boles M, Mullooly JP, Levinson W. Effect of clinician communication skills training on patient satisfaction: a randomized, controlled trial. Ann Intern Med. 1999;131:822829.
  19. Frequently asked questions: ACGME common duty hour requirements. Available at: http://www.Acgme.Org/Acgmeweb/Portals/0/Pdfs/Dh‐Faqs2011.Pdf. Accessed January 3, 2015.
References
  1. Boulding W, Glickman SW, Manary MP, Schulman KA, Staelin R. Relationship between patient satisfaction with inpatient care and hospital readmission within 30 Days. Am J Manag Care. 2011;17:4148.
  2. Jha AK, Orav EJ, Zheng J, Epstein AM. Patients' Perception of Hospital Care in the United States. N Engl J Med. 2008;359:19211931.
  3. Glickman SW, Boulding W, Manary M, et al. Patient satisfaction and its relationship with clinical quality and inpatient mortality in acute myocardial infarction. Circ Cardiovasc Qual Outcomes. 2010;3:188195.
  4. Doyle C, Lennox L, Bell D. A systematic review of evidence on the links between patient experience and clinical safety and effectiveness. BMJ Open. 2013;3(1).
  5. Centers for Medicare 70:729732.
  6. Mayer TA, Cates RJ, Mastorovich MJ, Royalty DL. Emergency department patient satisfaction: customer service training improves patient satisfaction and ratings of physician and nurse skill. J Healthc Manag. 1998;43:427440; discussion 441–442.
  7. Kologlu M, Agalar F, Cakmakci M. Emergency department information: does it effect patients' perception and satisfaction about the care given in an emergency department? Eur J Emerg Med 1999;6:245248.
  8. Lau FL. Can communication skills workshops for emergency department doctors improve patient satisfaction? J Accid Emerg Med. 2000;17:251253.
  9. Joos SK, Hickam DH, Gordon GH, Baker LH. Effects of a physician communication intervention on patient care outcomes. J Gen Intern Med. 1996;11:147155.
  10. Detmar SB, Muller MJ, Schornagel JH, Wever LD, Aaronson NK. Health‐related quality‐of‐life assessments and patient‐physician communication: a randomized controlled trial. JAMA. 2002;288:30273034.
  11. Cope DW, Linn LS, Leake BD, Barrett PA. Modification of residents' behavior by preceptor feedback of patient satisfaction. J Gen Intern Med. 1986;1:394398.
  12. Levinson W, Lesser CS, Epstein RM. Developing physician communication skills for patient‐centered care. Health Aff (Millwood) 2010;29:13101318.
  13. ARC Medical Program @ UCLA. Available at: http://Arcmedicalprogram.Wordpress.com. Accessed July 1, 2013.
  14. Hospital Consumer Assessment of Healthcare Providers 12:151162.
  15. Summary of HCAHPS survey results January 2010 to December 2010 discharges. Available at: http://Www.Hcahpsonline.Org/Files/Hcahps survey results table %28report_Hei_October_2011_States%29.Pdf. Accessed October 18, 2013.
  16. Elliott MN, Brown JA, Lehrman WG, et al. A randomized experiment investigating the suitability of speech‐enabled IVR and web modes for publicly reported surveys of patients' experience of hospital care. Med Care Res Rev. 2013;70:165184.
  17. McNamara P. Provider‐specific report cards: a tool for health sector accountability in developing countries. Health Policy Plan. 2006;21:101109.
  18. Brown JB, Boles M, Mullooly JP, Levinson W. Effect of clinician communication skills training on patient satisfaction: a randomized, controlled trial. Ann Intern Med. 1999;131:822829.
  19. Frequently asked questions: ACGME common duty hour requirements. Available at: http://www.Acgme.Org/Acgmeweb/Portals/0/Pdfs/Dh‐Faqs2011.Pdf. Accessed January 3, 2015.
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Journal of Hospital Medicine - 10(8)
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Journal of Hospital Medicine - 10(8)
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497-502
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Improving patient satisfaction through physician education, feedback, and incentives
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Improving patient satisfaction through physician education, feedback, and incentives
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Address for correspondence and reprint requests: Gaurav Banka, MD, UCLA Internal Medicine, 757 Westwood Plaza, Suite 7501, Los Angeles, CA 90095; Telephone: 559‐253‐3783; Fax: 310‐267‐3592; E‐mail: [email protected]
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