Travel Burden and Distress in Veterans With Head and Neck Cancer

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Travel Burden and Distress in Veterans With Head and Neck Cancer
Keating TM

Purpose: To investigate whether traveling long distances to a cancer treatment facility increases self-reported distress among veterans with head and neck cancer.

Background: Veterans within VISN 20 receive radiation therapy for head and neck cancer in Portland, Oregon, or Seattle, Washington. Given the geography, many travel and stay in lodging for the duration of treatment. As they cannot access usual sources of support within their communities, these veterans may be at risk for greater distress while undergoing cancer treatment.

Methods: The National Comprehensive Cancer Network Distress Thermometer (DT) is a validated tool for self-reported distress by cancer patients. Respondents report distress on a 0 to 10 scale and answer 28 questions regarding physical, emotional, and practical problems. In Seattle, the DT is completed shortly before starting treatment. Patient demographics, treatment plan (chemoradiation vs radiation alone), and DT data for veterans with head and neck cancer were abstracted from the Computerized Patient Record System. A DT score of 7 or higher was considered significant distress. Distance to the VA was calculated by zip code from the veteran’s address. Data were analyzed with logistic regression to control for possible effects of cancer stage, age category, or treatment plan.

Results: Sixty veterans with head and neck cancer completed the DT between April 2014 and April 2015. The average age was 65.4 years (range 39-91), all were male, 77% were white, 77% had stage III or IV cancer at diagnosis, and 47% traveled > 50 miles. The average DT score was 5.4. Veterans traveling > 50 miles were more likely to report significant distress compared with those who traveled < 50 miles (odds ratio (OR) = 1.6, P = .02). Sleep was the only problem significantly more likely for veterans traveling > 50 miles (OR = 1.71, P = .01).

Implications: Veterans with head and neck cancer traveling > 50 miles for cancer care are more likely to report significant distress or distress related to sleep. This small study suggests travel burden may be an underappreciated source of distress for veterans with cancer. Further research is warranted to better understand how travel burden affects distress and identify opportunities for intervention

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Keating TM
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Purpose: To investigate whether traveling long distances to a cancer treatment facility increases self-reported distress among veterans with head and neck cancer.

Background: Veterans within VISN 20 receive radiation therapy for head and neck cancer in Portland, Oregon, or Seattle, Washington. Given the geography, many travel and stay in lodging for the duration of treatment. As they cannot access usual sources of support within their communities, these veterans may be at risk for greater distress while undergoing cancer treatment.

Methods: The National Comprehensive Cancer Network Distress Thermometer (DT) is a validated tool for self-reported distress by cancer patients. Respondents report distress on a 0 to 10 scale and answer 28 questions regarding physical, emotional, and practical problems. In Seattle, the DT is completed shortly before starting treatment. Patient demographics, treatment plan (chemoradiation vs radiation alone), and DT data for veterans with head and neck cancer were abstracted from the Computerized Patient Record System. A DT score of 7 or higher was considered significant distress. Distance to the VA was calculated by zip code from the veteran’s address. Data were analyzed with logistic regression to control for possible effects of cancer stage, age category, or treatment plan.

Results: Sixty veterans with head and neck cancer completed the DT between April 2014 and April 2015. The average age was 65.4 years (range 39-91), all were male, 77% were white, 77% had stage III or IV cancer at diagnosis, and 47% traveled > 50 miles. The average DT score was 5.4. Veterans traveling > 50 miles were more likely to report significant distress compared with those who traveled < 50 miles (odds ratio (OR) = 1.6, P = .02). Sleep was the only problem significantly more likely for veterans traveling > 50 miles (OR = 1.71, P = .01).

Implications: Veterans with head and neck cancer traveling > 50 miles for cancer care are more likely to report significant distress or distress related to sleep. This small study suggests travel burden may be an underappreciated source of distress for veterans with cancer. Further research is warranted to better understand how travel burden affects distress and identify opportunities for intervention

Purpose: To investigate whether traveling long distances to a cancer treatment facility increases self-reported distress among veterans with head and neck cancer.

Background: Veterans within VISN 20 receive radiation therapy for head and neck cancer in Portland, Oregon, or Seattle, Washington. Given the geography, many travel and stay in lodging for the duration of treatment. As they cannot access usual sources of support within their communities, these veterans may be at risk for greater distress while undergoing cancer treatment.

Methods: The National Comprehensive Cancer Network Distress Thermometer (DT) is a validated tool for self-reported distress by cancer patients. Respondents report distress on a 0 to 10 scale and answer 28 questions regarding physical, emotional, and practical problems. In Seattle, the DT is completed shortly before starting treatment. Patient demographics, treatment plan (chemoradiation vs radiation alone), and DT data for veterans with head and neck cancer were abstracted from the Computerized Patient Record System. A DT score of 7 or higher was considered significant distress. Distance to the VA was calculated by zip code from the veteran’s address. Data were analyzed with logistic regression to control for possible effects of cancer stage, age category, or treatment plan.

Results: Sixty veterans with head and neck cancer completed the DT between April 2014 and April 2015. The average age was 65.4 years (range 39-91), all were male, 77% were white, 77% had stage III or IV cancer at diagnosis, and 47% traveled > 50 miles. The average DT score was 5.4. Veterans traveling > 50 miles were more likely to report significant distress compared with those who traveled < 50 miles (odds ratio (OR) = 1.6, P = .02). Sleep was the only problem significantly more likely for veterans traveling > 50 miles (OR = 1.71, P = .01).

Implications: Veterans with head and neck cancer traveling > 50 miles for cancer care are more likely to report significant distress or distress related to sleep. This small study suggests travel burden may be an underappreciated source of distress for veterans with cancer. Further research is warranted to better understand how travel burden affects distress and identify opportunities for intervention

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Travel Burden and Distress in Veterans With Head and Neck Cancer
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Travel Burden and Distress in Veterans With Head and Neck Cancer
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Patterns of Initial Treatment in Veteran Patients With Chronic Lymphocytic Leukemia: A National VA Tumor Registry Study

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Patterns of Initial Treatment in Veteran Patients With Chronic Lymphocytic Leukemia: A National VA Tumor Registry Study
Abstract 9: 2015 AVAHO Meeting

Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults, including elderly veterans, with many new treatment options now available. Data on patterns of treatment in elderly veteran patients with CLL is limited. We sought to assess initial treatment patterns over a 13-year period among veteran patients in the Minneapolis VA Health Care System.

Methods: We identified 6,756 CLL cases diagnosed from 2000 to 2013 and are presenting interim data on 2015. We reviewed clinical data from 2,015 patients with CLL diagnosed from 2000 to 2013 and identified through the National VA Tumor Registry. Baseline demographics and treatment information were collected. The objective of this study was to assess initial treatment patterns, time to initial treatment, and variation of these parameters by age.

Results: At diagnosis, median age was 69 years (range, 37-96 years); 98% were male (1,979); Rai stage was 0 (n = 1,331, 66%), 1 (n = 317, 16%), 2 (n = 156, 8%), 3 (n = 91, 5%), 4 (n = 113, 6%). The majority of patients were white (n = 1,752, 87%); followed by African American (n = 203, 10%); and Hispanic (n = 33, 2%). Of the 2,015 patients, 751 (37%) received therapy over this period of follow-up. Median time from diagnosis to initial treatment was 1.3 years (range, 0-13 years). The most common initial therapies utilized were chlorambucil (39.4%); fludarabine/cyclophosphamide/ritux-imab (FCR) (12.4%); and single-agent fludarabine (10.5%). When examining these parameters by age in decades, we found that there were no differences in Rai stage at diagnosis by age-decade. There was a progressive increase in initial chlorambucil usage by advancing age. Likewise, the majority of FCR usage was in patients aged < 70 years.

Conclusions: In this veteran population, including many elderly patients, the majority of patients requiring therapy initiated it within 2 years of diagnosis. These patients were most commonly treated with chlorambucil. These patterns of care will be changing with the introduction of newer oral agents, such as ibrutinib and idelalisib, but at a significantly higher cost. The National VA Tumor Registry data will allow future opportunity to examine evolving treatment patterns in both an elderly as well as a veteran population. Updated data will be presented at the AVAHO annual meeting.

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Abstract 9: 2015 AVAHO Meeting
Abstract 9: 2015 AVAHO Meeting

Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults, including elderly veterans, with many new treatment options now available. Data on patterns of treatment in elderly veteran patients with CLL is limited. We sought to assess initial treatment patterns over a 13-year period among veteran patients in the Minneapolis VA Health Care System.

Methods: We identified 6,756 CLL cases diagnosed from 2000 to 2013 and are presenting interim data on 2015. We reviewed clinical data from 2,015 patients with CLL diagnosed from 2000 to 2013 and identified through the National VA Tumor Registry. Baseline demographics and treatment information were collected. The objective of this study was to assess initial treatment patterns, time to initial treatment, and variation of these parameters by age.

Results: At diagnosis, median age was 69 years (range, 37-96 years); 98% were male (1,979); Rai stage was 0 (n = 1,331, 66%), 1 (n = 317, 16%), 2 (n = 156, 8%), 3 (n = 91, 5%), 4 (n = 113, 6%). The majority of patients were white (n = 1,752, 87%); followed by African American (n = 203, 10%); and Hispanic (n = 33, 2%). Of the 2,015 patients, 751 (37%) received therapy over this period of follow-up. Median time from diagnosis to initial treatment was 1.3 years (range, 0-13 years). The most common initial therapies utilized were chlorambucil (39.4%); fludarabine/cyclophosphamide/ritux-imab (FCR) (12.4%); and single-agent fludarabine (10.5%). When examining these parameters by age in decades, we found that there were no differences in Rai stage at diagnosis by age-decade. There was a progressive increase in initial chlorambucil usage by advancing age. Likewise, the majority of FCR usage was in patients aged < 70 years.

Conclusions: In this veteran population, including many elderly patients, the majority of patients requiring therapy initiated it within 2 years of diagnosis. These patients were most commonly treated with chlorambucil. These patterns of care will be changing with the introduction of newer oral agents, such as ibrutinib and idelalisib, but at a significantly higher cost. The National VA Tumor Registry data will allow future opportunity to examine evolving treatment patterns in both an elderly as well as a veteran population. Updated data will be presented at the AVAHO annual meeting.

Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults, including elderly veterans, with many new treatment options now available. Data on patterns of treatment in elderly veteran patients with CLL is limited. We sought to assess initial treatment patterns over a 13-year period among veteran patients in the Minneapolis VA Health Care System.

Methods: We identified 6,756 CLL cases diagnosed from 2000 to 2013 and are presenting interim data on 2015. We reviewed clinical data from 2,015 patients with CLL diagnosed from 2000 to 2013 and identified through the National VA Tumor Registry. Baseline demographics and treatment information were collected. The objective of this study was to assess initial treatment patterns, time to initial treatment, and variation of these parameters by age.

Results: At diagnosis, median age was 69 years (range, 37-96 years); 98% were male (1,979); Rai stage was 0 (n = 1,331, 66%), 1 (n = 317, 16%), 2 (n = 156, 8%), 3 (n = 91, 5%), 4 (n = 113, 6%). The majority of patients were white (n = 1,752, 87%); followed by African American (n = 203, 10%); and Hispanic (n = 33, 2%). Of the 2,015 patients, 751 (37%) received therapy over this period of follow-up. Median time from diagnosis to initial treatment was 1.3 years (range, 0-13 years). The most common initial therapies utilized were chlorambucil (39.4%); fludarabine/cyclophosphamide/ritux-imab (FCR) (12.4%); and single-agent fludarabine (10.5%). When examining these parameters by age in decades, we found that there were no differences in Rai stage at diagnosis by age-decade. There was a progressive increase in initial chlorambucil usage by advancing age. Likewise, the majority of FCR usage was in patients aged < 70 years.

Conclusions: In this veteran population, including many elderly patients, the majority of patients requiring therapy initiated it within 2 years of diagnosis. These patients were most commonly treated with chlorambucil. These patterns of care will be changing with the introduction of newer oral agents, such as ibrutinib and idelalisib, but at a significantly higher cost. The National VA Tumor Registry data will allow future opportunity to examine evolving treatment patterns in both an elderly as well as a veteran population. Updated data will be presented at the AVAHO annual meeting.

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Patterns of Initial Treatment in Veteran Patients With Chronic Lymphocytic Leukemia: A National VA Tumor Registry Study
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Initial Cytogenetic Features of Veteran Patients With Chronic Lymphocytic Leukemia: A National VA Tumor Registry Study

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Initial Cytogenetic Features of Veteran Patients With Chronic Lymphocytic Leukemia: A National VA Tumor Registry Study
Abstract 8: 2015 AVAHO Meeting

Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults, including elderly veterans. Some veterans have a history of Agent Orange exposure, which may potentially impact their presentation and disease course. We sought to assess initial patterns of cytogenetic aberrations among patients with CLL within the Minneapolis VA Health Care System (MVAHCS).

Methods: For this interim analysis, we evaluated a subset (30%) of a larger sample (6,756). We reviewed clinical data from 2,015 patients with CLL diagnosed from 2000 to 2013 and identified through the National VA Tumor Registry. Baseline demographics, including bone marrow/cytogenetic findings and treatment information were collected. The objective of this study was to assess initial cytogenetic patterns and variation of these parameters by age and Agent Orange exposure.

Results: Median age at diagnosis was 69 years (range, 37-96 years); 98% were male (1,979); Rai stage was 0 (n = 1,331, 66%), 1 (n = 317, 16%), 2 (n = 156, 8%), 3 (n = 91, 5%), 4 (n = 113, 6%). Cytogenetic data were available on 590 of 2,015 (29%) patients. Cytogenetic findings were normal in 258 (44%) patients. Abnormal cytogenetic findings in the remaining 330 cases included del 13q (28%); trisomy 12 (15%); del 11q (11%); del 17p (6%); and other abnor-malities (13%). Of 330 patients with noted abnormalities, 191 (58%) had 1 abnormality; 60 (18%) had 2; and 79 (24%) had > 2 abnormalities. Out of 2,015 patients, 283 (14%) had a reported exposure to Agent Orange; cytogenetic information was available in 130 (46%). Chromosomal abnormalities were detected in 80 of 130 cases (62%). The most frequent abnormality was del 13q (40%); trisomy 12 (19%); other abnormalities (18%); and del 11q (17%). Of the 80 pa-tients with noted abnormalities, 44 (55%) had 1 abnormality;14 (18%) had 2; and 22 (28%) had > 2 abnormalities.

Conclusions: Cytogenetic abnormalities in CLL play an important role in predicting disease progression and survival. These abnormalities paired with Agent Orange exposure have yet to be explored. Utilization of the National VA Tumor Registry data will allow the opportunity to examine the impact, if any, of Agent Orange exposure on the presentation and disease course of veterans with CLL. Updated cytogenetic findings will be presented at the AVAHO annual meeting.

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Abstract 8: 2015 AVAHO Meeting
Abstract 8: 2015 AVAHO Meeting

Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults, including elderly veterans. Some veterans have a history of Agent Orange exposure, which may potentially impact their presentation and disease course. We sought to assess initial patterns of cytogenetic aberrations among patients with CLL within the Minneapolis VA Health Care System (MVAHCS).

Methods: For this interim analysis, we evaluated a subset (30%) of a larger sample (6,756). We reviewed clinical data from 2,015 patients with CLL diagnosed from 2000 to 2013 and identified through the National VA Tumor Registry. Baseline demographics, including bone marrow/cytogenetic findings and treatment information were collected. The objective of this study was to assess initial cytogenetic patterns and variation of these parameters by age and Agent Orange exposure.

Results: Median age at diagnosis was 69 years (range, 37-96 years); 98% were male (1,979); Rai stage was 0 (n = 1,331, 66%), 1 (n = 317, 16%), 2 (n = 156, 8%), 3 (n = 91, 5%), 4 (n = 113, 6%). Cytogenetic data were available on 590 of 2,015 (29%) patients. Cytogenetic findings were normal in 258 (44%) patients. Abnormal cytogenetic findings in the remaining 330 cases included del 13q (28%); trisomy 12 (15%); del 11q (11%); del 17p (6%); and other abnor-malities (13%). Of 330 patients with noted abnormalities, 191 (58%) had 1 abnormality; 60 (18%) had 2; and 79 (24%) had > 2 abnormalities. Out of 2,015 patients, 283 (14%) had a reported exposure to Agent Orange; cytogenetic information was available in 130 (46%). Chromosomal abnormalities were detected in 80 of 130 cases (62%). The most frequent abnormality was del 13q (40%); trisomy 12 (19%); other abnormalities (18%); and del 11q (17%). Of the 80 pa-tients with noted abnormalities, 44 (55%) had 1 abnormality;14 (18%) had 2; and 22 (28%) had > 2 abnormalities.

Conclusions: Cytogenetic abnormalities in CLL play an important role in predicting disease progression and survival. These abnormalities paired with Agent Orange exposure have yet to be explored. Utilization of the National VA Tumor Registry data will allow the opportunity to examine the impact, if any, of Agent Orange exposure on the presentation and disease course of veterans with CLL. Updated cytogenetic findings will be presented at the AVAHO annual meeting.

Background: Chronic lymphocytic leukemia (CLL) is the most common leukemia in adults, including elderly veterans. Some veterans have a history of Agent Orange exposure, which may potentially impact their presentation and disease course. We sought to assess initial patterns of cytogenetic aberrations among patients with CLL within the Minneapolis VA Health Care System (MVAHCS).

Methods: For this interim analysis, we evaluated a subset (30%) of a larger sample (6,756). We reviewed clinical data from 2,015 patients with CLL diagnosed from 2000 to 2013 and identified through the National VA Tumor Registry. Baseline demographics, including bone marrow/cytogenetic findings and treatment information were collected. The objective of this study was to assess initial cytogenetic patterns and variation of these parameters by age and Agent Orange exposure.

Results: Median age at diagnosis was 69 years (range, 37-96 years); 98% were male (1,979); Rai stage was 0 (n = 1,331, 66%), 1 (n = 317, 16%), 2 (n = 156, 8%), 3 (n = 91, 5%), 4 (n = 113, 6%). Cytogenetic data were available on 590 of 2,015 (29%) patients. Cytogenetic findings were normal in 258 (44%) patients. Abnormal cytogenetic findings in the remaining 330 cases included del 13q (28%); trisomy 12 (15%); del 11q (11%); del 17p (6%); and other abnor-malities (13%). Of 330 patients with noted abnormalities, 191 (58%) had 1 abnormality; 60 (18%) had 2; and 79 (24%) had > 2 abnormalities. Out of 2,015 patients, 283 (14%) had a reported exposure to Agent Orange; cytogenetic information was available in 130 (46%). Chromosomal abnormalities were detected in 80 of 130 cases (62%). The most frequent abnormality was del 13q (40%); trisomy 12 (19%); other abnormalities (18%); and del 11q (17%). Of the 80 pa-tients with noted abnormalities, 44 (55%) had 1 abnormality;14 (18%) had 2; and 22 (28%) had > 2 abnormalities.

Conclusions: Cytogenetic abnormalities in CLL play an important role in predicting disease progression and survival. These abnormalities paired with Agent Orange exposure have yet to be explored. Utilization of the National VA Tumor Registry data will allow the opportunity to examine the impact, if any, of Agent Orange exposure on the presentation and disease course of veterans with CLL. Updated cytogenetic findings will be presented at the AVAHO annual meeting.

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Prevalence of Undiagnosed Diabetes in US

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Prevalence of Undiagnosed Diabetes in US

Diabetes affects up to 14 percent of the U.S. population - an increase from nearly 10 percent in the early 1990s - yet over a third of cases still go undiagnosed, according to a new analysis.

Screening seems to be catching more cases, accounting for the general rise over two decades, the study authors say, but mainly whites have benefited; for Hispanic and Asian people in particular, more than half of cases go undetected.

"We need to better educate people on the risk factors for diabetes - including older age, family history and obesity - and improve screening for those at high risk," lead study author Andy Menke, an epidemiologist at Social and Scientific Systems in Silver Spring, Maryland, said by email.

Globally, about one in nine adults has diagnosed diabetes, and the disease will be the seventh leading cause of death by 2030, according to the World Health Organization.

Most of these people have Type 2, or adult-onset, diabetes, which happens when the body can't properly use or make enough of the hormone insulin to convert blood sugar into energy. Left untreated, diabetes can lead to nerve damage, amputations, blindness, heart disease and strokes.

Average blood sugar levels over the course of several months can be estimated by measuring changes to the hemoglobin molecule in red blood cells. The hemoglobin A1c test measures the percentage of hemoglobin - the protein in red blood cells that

carries oxygen - that is coated with sugar, with readings of 6.5 percent or above signaling diabetes.

People with A1c levels between 5.7 percent and 6.4 percent aren't diabetic, but because this is considered elevated it is sometimes called "pre-diabetes" and considered a risk factor for going on to develop full-blown diabetes.

Menke and colleagues estimated the prevalence of diabetes and pre-diabetes using data from the National Health and Nutrition Examination Survey (NHANES) collected on 2,781 adults in 2011 to 2012 and an additional 23,634 adults from 1988 to 2010.

While the prevalence of diabetes increased over time in the overall population, gains were more pronounced among racial and ethnic minorities, the study found.

About 11 percent of white people have diabetes, the researchers calculated, compared with 22 percent of non-Hispanic black participants, 21 percent of Asians and 23 percent of Hispanics.

Among Asians, 51 percent of those with diabetes were unaware of it, and the same was true for 49 percent of Hispanic people with the condition.

An additional 38 percent of adults fell into the pre-diabetes category. Added to the prevalence of diabetes, that means more than half of the U.S. population has diabetes or is at increased risk for it, the authors point out.

The good news, however, is fewer people are undiagnosed than in the past, Dr. William Herman and Dr. Amy Rothberg of the University of Michigan in Ann Arbor note in commentary accompanying the study in JAMA.

In it, they note that the increase in diabetes prevalence between 1988 and 2012 seen in the study was due to an increase in diagnosed cases, and that overall undiagnosed cases fell from 40 percent in 1988-1994 to 31 percent in 2008-2012.

This "likely reflects increased awareness of the problem of undiagnosed diabetes and increased testing," they said by email.

The drop in undiagnosed cases, they added, may be due in part to the newer, simpler A1c test, which doesn't require fasting or any advance preparation.

It's also possible that new cases of diabetes are starting to fall for the first time in decades because more people are getting the message about lifestyle choices that can contribute to diabetes, noted Dr. David Nathan, director of the diabetes center at Massachusetts General Hospital in Boston and a professor at Harvard Medical School.

In particular, more patients now understand that being overweight or obese increases the risk for diabetes, Nathan, author of a separate report in JAMA on advances in diagnosis and treatment, said by email.

 

 

"Behavioral changes, including healthy eating and more activity can prevent, or at least ameliorate, the diabetes epidemic," Nathan said.

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Diabetes affects up to 14 percent of the U.S. population - an increase from nearly 10 percent in the early 1990s - yet over a third of cases still go undiagnosed, according to a new analysis.

Screening seems to be catching more cases, accounting for the general rise over two decades, the study authors say, but mainly whites have benefited; for Hispanic and Asian people in particular, more than half of cases go undetected.

"We need to better educate people on the risk factors for diabetes - including older age, family history and obesity - and improve screening for those at high risk," lead study author Andy Menke, an epidemiologist at Social and Scientific Systems in Silver Spring, Maryland, said by email.

Globally, about one in nine adults has diagnosed diabetes, and the disease will be the seventh leading cause of death by 2030, according to the World Health Organization.

Most of these people have Type 2, or adult-onset, diabetes, which happens when the body can't properly use or make enough of the hormone insulin to convert blood sugar into energy. Left untreated, diabetes can lead to nerve damage, amputations, blindness, heart disease and strokes.

Average blood sugar levels over the course of several months can be estimated by measuring changes to the hemoglobin molecule in red blood cells. The hemoglobin A1c test measures the percentage of hemoglobin - the protein in red blood cells that

carries oxygen - that is coated with sugar, with readings of 6.5 percent or above signaling diabetes.

People with A1c levels between 5.7 percent and 6.4 percent aren't diabetic, but because this is considered elevated it is sometimes called "pre-diabetes" and considered a risk factor for going on to develop full-blown diabetes.

Menke and colleagues estimated the prevalence of diabetes and pre-diabetes using data from the National Health and Nutrition Examination Survey (NHANES) collected on 2,781 adults in 2011 to 2012 and an additional 23,634 adults from 1988 to 2010.

While the prevalence of diabetes increased over time in the overall population, gains were more pronounced among racial and ethnic minorities, the study found.

About 11 percent of white people have diabetes, the researchers calculated, compared with 22 percent of non-Hispanic black participants, 21 percent of Asians and 23 percent of Hispanics.

Among Asians, 51 percent of those with diabetes were unaware of it, and the same was true for 49 percent of Hispanic people with the condition.

An additional 38 percent of adults fell into the pre-diabetes category. Added to the prevalence of diabetes, that means more than half of the U.S. population has diabetes or is at increased risk for it, the authors point out.

The good news, however, is fewer people are undiagnosed than in the past, Dr. William Herman and Dr. Amy Rothberg of the University of Michigan in Ann Arbor note in commentary accompanying the study in JAMA.

In it, they note that the increase in diabetes prevalence between 1988 and 2012 seen in the study was due to an increase in diagnosed cases, and that overall undiagnosed cases fell from 40 percent in 1988-1994 to 31 percent in 2008-2012.

This "likely reflects increased awareness of the problem of undiagnosed diabetes and increased testing," they said by email.

The drop in undiagnosed cases, they added, may be due in part to the newer, simpler A1c test, which doesn't require fasting or any advance preparation.

It's also possible that new cases of diabetes are starting to fall for the first time in decades because more people are getting the message about lifestyle choices that can contribute to diabetes, noted Dr. David Nathan, director of the diabetes center at Massachusetts General Hospital in Boston and a professor at Harvard Medical School.

In particular, more patients now understand that being overweight or obese increases the risk for diabetes, Nathan, author of a separate report in JAMA on advances in diagnosis and treatment, said by email.

 

 

"Behavioral changes, including healthy eating and more activity can prevent, or at least ameliorate, the diabetes epidemic," Nathan said.

Diabetes affects up to 14 percent of the U.S. population - an increase from nearly 10 percent in the early 1990s - yet over a third of cases still go undiagnosed, according to a new analysis.

Screening seems to be catching more cases, accounting for the general rise over two decades, the study authors say, but mainly whites have benefited; for Hispanic and Asian people in particular, more than half of cases go undetected.

"We need to better educate people on the risk factors for diabetes - including older age, family history and obesity - and improve screening for those at high risk," lead study author Andy Menke, an epidemiologist at Social and Scientific Systems in Silver Spring, Maryland, said by email.

Globally, about one in nine adults has diagnosed diabetes, and the disease will be the seventh leading cause of death by 2030, according to the World Health Organization.

Most of these people have Type 2, or adult-onset, diabetes, which happens when the body can't properly use or make enough of the hormone insulin to convert blood sugar into energy. Left untreated, diabetes can lead to nerve damage, amputations, blindness, heart disease and strokes.

Average blood sugar levels over the course of several months can be estimated by measuring changes to the hemoglobin molecule in red blood cells. The hemoglobin A1c test measures the percentage of hemoglobin - the protein in red blood cells that

carries oxygen - that is coated with sugar, with readings of 6.5 percent or above signaling diabetes.

People with A1c levels between 5.7 percent and 6.4 percent aren't diabetic, but because this is considered elevated it is sometimes called "pre-diabetes" and considered a risk factor for going on to develop full-blown diabetes.

Menke and colleagues estimated the prevalence of diabetes and pre-diabetes using data from the National Health and Nutrition Examination Survey (NHANES) collected on 2,781 adults in 2011 to 2012 and an additional 23,634 adults from 1988 to 2010.

While the prevalence of diabetes increased over time in the overall population, gains were more pronounced among racial and ethnic minorities, the study found.

About 11 percent of white people have diabetes, the researchers calculated, compared with 22 percent of non-Hispanic black participants, 21 percent of Asians and 23 percent of Hispanics.

Among Asians, 51 percent of those with diabetes were unaware of it, and the same was true for 49 percent of Hispanic people with the condition.

An additional 38 percent of adults fell into the pre-diabetes category. Added to the prevalence of diabetes, that means more than half of the U.S. population has diabetes or is at increased risk for it, the authors point out.

The good news, however, is fewer people are undiagnosed than in the past, Dr. William Herman and Dr. Amy Rothberg of the University of Michigan in Ann Arbor note in commentary accompanying the study in JAMA.

In it, they note that the increase in diabetes prevalence between 1988 and 2012 seen in the study was due to an increase in diagnosed cases, and that overall undiagnosed cases fell from 40 percent in 1988-1994 to 31 percent in 2008-2012.

This "likely reflects increased awareness of the problem of undiagnosed diabetes and increased testing," they said by email.

The drop in undiagnosed cases, they added, may be due in part to the newer, simpler A1c test, which doesn't require fasting or any advance preparation.

It's also possible that new cases of diabetes are starting to fall for the first time in decades because more people are getting the message about lifestyle choices that can contribute to diabetes, noted Dr. David Nathan, director of the diabetes center at Massachusetts General Hospital in Boston and a professor at Harvard Medical School.

In particular, more patients now understand that being overweight or obese increases the risk for diabetes, Nathan, author of a separate report in JAMA on advances in diagnosis and treatment, said by email.

 

 

"Behavioral changes, including healthy eating and more activity can prevent, or at least ameliorate, the diabetes epidemic," Nathan said.

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Respiratory problems make adenotonsillectomy recovery worse for kids

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Respiratory compromise and secondary hemorrhage were the most common early side effects in children who had adenotonsillectomies; children with obstructive sleep apnea (OSA) have nearly five times more respiratory complications after surgery than children without OSA, a multistudy review concluded.

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Graziela De Luca Canto, Ph.D., of the Federal University of Santa Catarina, Brazil, and her associates performed a data review by identifying 1,254 different citations found via electronic database searches; after eliminations, only 23 studies were included in the final analysis. Although children with OSA have nearly five times more respiratory complications after adenotonsillectomy than their peers, (odds ratio, 4.90), they are less likely to have postoperative bleeding, compared with children without OSA (OR, 0.41). Among both groups, the most frequent complication was respiratory compromise (9.4%), followed by secondary hemorrhage (2.6%).

Because children with OSA are more likely to require supplemental oxygen, oral or nasal airway insertion, or assisted ventilation in the immediate postoperative period than their peers, the authors suggested that anesthesiologists would be wise to screen patients for snoring, airway dysfunction, and other airway anatomic disorders before performing surgery.

“Children with OSA are clearly at higher anesthetic risk than are patients with normal upper airway function. … Despite the pressure to reduce costs, both surgeons and anesthesiologists should improve screening procedures, perhaps develop alternate surgical approaches, to decrease the risks,” the investigators wrote.

Read the full article in Pediatrics 2015 (doi: 10.1542/peds.2015-1283).

[email protected]

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Respiratory compromise and secondary hemorrhage were the most common early side effects in children who had adenotonsillectomies; children with obstructive sleep apnea (OSA) have nearly five times more respiratory complications after surgery than children without OSA, a multistudy review concluded.

janulla/Thinkstock.com

Graziela De Luca Canto, Ph.D., of the Federal University of Santa Catarina, Brazil, and her associates performed a data review by identifying 1,254 different citations found via electronic database searches; after eliminations, only 23 studies were included in the final analysis. Although children with OSA have nearly five times more respiratory complications after adenotonsillectomy than their peers, (odds ratio, 4.90), they are less likely to have postoperative bleeding, compared with children without OSA (OR, 0.41). Among both groups, the most frequent complication was respiratory compromise (9.4%), followed by secondary hemorrhage (2.6%).

Because children with OSA are more likely to require supplemental oxygen, oral or nasal airway insertion, or assisted ventilation in the immediate postoperative period than their peers, the authors suggested that anesthesiologists would be wise to screen patients for snoring, airway dysfunction, and other airway anatomic disorders before performing surgery.

“Children with OSA are clearly at higher anesthetic risk than are patients with normal upper airway function. … Despite the pressure to reduce costs, both surgeons and anesthesiologists should improve screening procedures, perhaps develop alternate surgical approaches, to decrease the risks,” the investigators wrote.

Read the full article in Pediatrics 2015 (doi: 10.1542/peds.2015-1283).

[email protected]

Respiratory compromise and secondary hemorrhage were the most common early side effects in children who had adenotonsillectomies; children with obstructive sleep apnea (OSA) have nearly five times more respiratory complications after surgery than children without OSA, a multistudy review concluded.

janulla/Thinkstock.com

Graziela De Luca Canto, Ph.D., of the Federal University of Santa Catarina, Brazil, and her associates performed a data review by identifying 1,254 different citations found via electronic database searches; after eliminations, only 23 studies were included in the final analysis. Although children with OSA have nearly five times more respiratory complications after adenotonsillectomy than their peers, (odds ratio, 4.90), they are less likely to have postoperative bleeding, compared with children without OSA (OR, 0.41). Among both groups, the most frequent complication was respiratory compromise (9.4%), followed by secondary hemorrhage (2.6%).

Because children with OSA are more likely to require supplemental oxygen, oral or nasal airway insertion, or assisted ventilation in the immediate postoperative period than their peers, the authors suggested that anesthesiologists would be wise to screen patients for snoring, airway dysfunction, and other airway anatomic disorders before performing surgery.

“Children with OSA are clearly at higher anesthetic risk than are patients with normal upper airway function. … Despite the pressure to reduce costs, both surgeons and anesthesiologists should improve screening procedures, perhaps develop alternate surgical approaches, to decrease the risks,” the investigators wrote.

Read the full article in Pediatrics 2015 (doi: 10.1542/peds.2015-1283).

[email protected]

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Reducing SCD patients’ wait time for pain meds

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Doctor examines child with SCD

Photo courtesy of St. Jude

Children’s Research Hospital

A quality improvement initiative may help reduce the amount of time pediatric patients with sickle cell disease (SCD) wait for pain medication when visiting the emergency department (ED) for a vaso-occlusive episode (VOE).

In a single-center study, the initiative cut patients’ average wait time from triage to the first dose of pain medication by more than 50%—from 56 minutes to 23 minutes.

The researchers described this study in Pediatrics.

The National Heart, Lung, and Blood Institute recommends that a pediatric SCD patient experiencing a VOE be triaged and treated as quickly as possible in the ED. However, previous US studies have indicated that patients often wait, on average, between 65 and 90 minutes for their first dose of pain medication.

“When a child with sickle cell disease comes to the emergency room with pain from a VOE, they likely have been in tremendous pain for hours,” said study author Patricia Kavanagh, MD, of Boston Medical Center (BMC) in Massachusetts.

“The goal of this initiative was to treat the pain episode as quickly and aggressively as possible so that these children could return to their usual activities, including school and time with family and friends.”

Implementing the initiative

From September 2010 to April 2014, a team at BMC implemented the following interventions in the pediatric ED:

  1. Using a standardized, time-specific protocol that guides care when the patient is in the ED
  2. Using intranasal fentanyl as a first-line pain medication, as placing intravenous lines (IVs) can be difficult in children with SCD
  3. Using an online calculator to determine appropriate pain medication doses in line with what is used nationally for children in the ED
  4. Providing education on this work to emergency providers and families.

The team implemented these interventions in phases. From September 2010 to May 2011 (baseline), they collected data on the timing of first and subsequent pain medications for children with SCD who presented to the ED with VOEs.

From May to November 2011 (phase 1), the team introduced intranasal fentanyl as the first-line parenteral opioid.

From December 2011 to November 2012 (phase 2), the goal was to streamline VOE care from triage to disposition decision. The team revised the VOE algorithm to recommend 2 doses of intranasal fentanyl, 2 doses of IV opioids, and then a disposition decision. Then, they introduced the pain medication calculator.

From December 2012 to April 2014 (phase 3), the team assessed the sustainability of the interventions from phase 2. The team also revised the VOE algorithm in May 2013 to initiate patient-controlled analgesics after the first dose of IV opioid for patients with severe pain.

Results

The team observed a reduction in the average time from triage to the first dose of a pain medication—either through the nose or IV—from 56 minutes at baseline to 23 minutes in phase 3. The time to the second IV pain medication dose decreased as well—from 106 minutes to 83 minutes.

There was also a reduction in the time it took for the physician to determine whether the patient would be admitted—from 163 minutes to 109 minutes—or discharged—from 271 minutes to 178 minutes.

In addition, patients who were admitted were given patient-controlled analgesics to control their pain, and the time to its initiation decreased from 216 minutes to 141 minutes.

“While future studies are necessary to determine if these results can be replicated at other hospitals, our data indicates that these initiatives could have a tremendous impact on care for kids with SCD across the country,” said James Moses, MD, of BMC.

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Doctor examines child with SCD

Photo courtesy of St. Jude

Children’s Research Hospital

A quality improvement initiative may help reduce the amount of time pediatric patients with sickle cell disease (SCD) wait for pain medication when visiting the emergency department (ED) for a vaso-occlusive episode (VOE).

In a single-center study, the initiative cut patients’ average wait time from triage to the first dose of pain medication by more than 50%—from 56 minutes to 23 minutes.

The researchers described this study in Pediatrics.

The National Heart, Lung, and Blood Institute recommends that a pediatric SCD patient experiencing a VOE be triaged and treated as quickly as possible in the ED. However, previous US studies have indicated that patients often wait, on average, between 65 and 90 minutes for their first dose of pain medication.

“When a child with sickle cell disease comes to the emergency room with pain from a VOE, they likely have been in tremendous pain for hours,” said study author Patricia Kavanagh, MD, of Boston Medical Center (BMC) in Massachusetts.

“The goal of this initiative was to treat the pain episode as quickly and aggressively as possible so that these children could return to their usual activities, including school and time with family and friends.”

Implementing the initiative

From September 2010 to April 2014, a team at BMC implemented the following interventions in the pediatric ED:

  1. Using a standardized, time-specific protocol that guides care when the patient is in the ED
  2. Using intranasal fentanyl as a first-line pain medication, as placing intravenous lines (IVs) can be difficult in children with SCD
  3. Using an online calculator to determine appropriate pain medication doses in line with what is used nationally for children in the ED
  4. Providing education on this work to emergency providers and families.

The team implemented these interventions in phases. From September 2010 to May 2011 (baseline), they collected data on the timing of first and subsequent pain medications for children with SCD who presented to the ED with VOEs.

From May to November 2011 (phase 1), the team introduced intranasal fentanyl as the first-line parenteral opioid.

From December 2011 to November 2012 (phase 2), the goal was to streamline VOE care from triage to disposition decision. The team revised the VOE algorithm to recommend 2 doses of intranasal fentanyl, 2 doses of IV opioids, and then a disposition decision. Then, they introduced the pain medication calculator.

From December 2012 to April 2014 (phase 3), the team assessed the sustainability of the interventions from phase 2. The team also revised the VOE algorithm in May 2013 to initiate patient-controlled analgesics after the first dose of IV opioid for patients with severe pain.

Results

The team observed a reduction in the average time from triage to the first dose of a pain medication—either through the nose or IV—from 56 minutes at baseline to 23 minutes in phase 3. The time to the second IV pain medication dose decreased as well—from 106 minutes to 83 minutes.

There was also a reduction in the time it took for the physician to determine whether the patient would be admitted—from 163 minutes to 109 minutes—or discharged—from 271 minutes to 178 minutes.

In addition, patients who were admitted were given patient-controlled analgesics to control their pain, and the time to its initiation decreased from 216 minutes to 141 minutes.

“While future studies are necessary to determine if these results can be replicated at other hospitals, our data indicates that these initiatives could have a tremendous impact on care for kids with SCD across the country,” said James Moses, MD, of BMC.

Doctor examines child with SCD

Photo courtesy of St. Jude

Children’s Research Hospital

A quality improvement initiative may help reduce the amount of time pediatric patients with sickle cell disease (SCD) wait for pain medication when visiting the emergency department (ED) for a vaso-occlusive episode (VOE).

In a single-center study, the initiative cut patients’ average wait time from triage to the first dose of pain medication by more than 50%—from 56 minutes to 23 minutes.

The researchers described this study in Pediatrics.

The National Heart, Lung, and Blood Institute recommends that a pediatric SCD patient experiencing a VOE be triaged and treated as quickly as possible in the ED. However, previous US studies have indicated that patients often wait, on average, between 65 and 90 minutes for their first dose of pain medication.

“When a child with sickle cell disease comes to the emergency room with pain from a VOE, they likely have been in tremendous pain for hours,” said study author Patricia Kavanagh, MD, of Boston Medical Center (BMC) in Massachusetts.

“The goal of this initiative was to treat the pain episode as quickly and aggressively as possible so that these children could return to their usual activities, including school and time with family and friends.”

Implementing the initiative

From September 2010 to April 2014, a team at BMC implemented the following interventions in the pediatric ED:

  1. Using a standardized, time-specific protocol that guides care when the patient is in the ED
  2. Using intranasal fentanyl as a first-line pain medication, as placing intravenous lines (IVs) can be difficult in children with SCD
  3. Using an online calculator to determine appropriate pain medication doses in line with what is used nationally for children in the ED
  4. Providing education on this work to emergency providers and families.

The team implemented these interventions in phases. From September 2010 to May 2011 (baseline), they collected data on the timing of first and subsequent pain medications for children with SCD who presented to the ED with VOEs.

From May to November 2011 (phase 1), the team introduced intranasal fentanyl as the first-line parenteral opioid.

From December 2011 to November 2012 (phase 2), the goal was to streamline VOE care from triage to disposition decision. The team revised the VOE algorithm to recommend 2 doses of intranasal fentanyl, 2 doses of IV opioids, and then a disposition decision. Then, they introduced the pain medication calculator.

From December 2012 to April 2014 (phase 3), the team assessed the sustainability of the interventions from phase 2. The team also revised the VOE algorithm in May 2013 to initiate patient-controlled analgesics after the first dose of IV opioid for patients with severe pain.

Results

The team observed a reduction in the average time from triage to the first dose of a pain medication—either through the nose or IV—from 56 minutes at baseline to 23 minutes in phase 3. The time to the second IV pain medication dose decreased as well—from 106 minutes to 83 minutes.

There was also a reduction in the time it took for the physician to determine whether the patient would be admitted—from 163 minutes to 109 minutes—or discharged—from 271 minutes to 178 minutes.

In addition, patients who were admitted were given patient-controlled analgesics to control their pain, and the time to its initiation decreased from 216 minutes to 141 minutes.

“While future studies are necessary to determine if these results can be replicated at other hospitals, our data indicates that these initiatives could have a tremendous impact on care for kids with SCD across the country,” said James Moses, MD, of BMC.

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Gene therapy granted fast track designation for hemophilia B

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red blood cells

Red blood cells

The US Food and Drug Administration (FDA) has granted fast track designation to a gene therapy product being developed to treat hemophilia B.

The product, DTX101, is designed to deliver factor IX gene expression in a durable fashion to prevent the long-term complications of hemophilia B.

Preclinical studies have indicated that DTX101 has the potential to be a well-tolerated, effective therapy for hemophilia B, according to Dimension Therapeutics, Inc., the company developing DTX101.

The company said it expects to initiate a multicenter, phase 1/2 study to evaluate DTX101 in adults with moderate/severe to severe hemophilia B by the end of this year.

DTX101 also has orphan designation from the FDA.

About fast track designation

The FDA’s fast track program is designed to facilitate and expedite the development and review of new drugs intended to treat serious or life-threatening conditions and address unmet medical need.

Through the fast track program, a product may be eligible for priority review. In addition, the company developing the drug may be allowed to submit sections of the biologic license application or new drug application on a rolling basis as data become available.

Fast track designation also provides the company with opportunities for more frequent meetings with the FDA to discuss the drug’s development plan and ensure collection of the appropriate data needed to support drug approval. And the designation allows for more frequent written communication from the FDA about things such as the design of proposed clinical trials and the use of biomarkers.

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red blood cells

Red blood cells

The US Food and Drug Administration (FDA) has granted fast track designation to a gene therapy product being developed to treat hemophilia B.

The product, DTX101, is designed to deliver factor IX gene expression in a durable fashion to prevent the long-term complications of hemophilia B.

Preclinical studies have indicated that DTX101 has the potential to be a well-tolerated, effective therapy for hemophilia B, according to Dimension Therapeutics, Inc., the company developing DTX101.

The company said it expects to initiate a multicenter, phase 1/2 study to evaluate DTX101 in adults with moderate/severe to severe hemophilia B by the end of this year.

DTX101 also has orphan designation from the FDA.

About fast track designation

The FDA’s fast track program is designed to facilitate and expedite the development and review of new drugs intended to treat serious or life-threatening conditions and address unmet medical need.

Through the fast track program, a product may be eligible for priority review. In addition, the company developing the drug may be allowed to submit sections of the biologic license application or new drug application on a rolling basis as data become available.

Fast track designation also provides the company with opportunities for more frequent meetings with the FDA to discuss the drug’s development plan and ensure collection of the appropriate data needed to support drug approval. And the designation allows for more frequent written communication from the FDA about things such as the design of proposed clinical trials and the use of biomarkers.

red blood cells

Red blood cells

The US Food and Drug Administration (FDA) has granted fast track designation to a gene therapy product being developed to treat hemophilia B.

The product, DTX101, is designed to deliver factor IX gene expression in a durable fashion to prevent the long-term complications of hemophilia B.

Preclinical studies have indicated that DTX101 has the potential to be a well-tolerated, effective therapy for hemophilia B, according to Dimension Therapeutics, Inc., the company developing DTX101.

The company said it expects to initiate a multicenter, phase 1/2 study to evaluate DTX101 in adults with moderate/severe to severe hemophilia B by the end of this year.

DTX101 also has orphan designation from the FDA.

About fast track designation

The FDA’s fast track program is designed to facilitate and expedite the development and review of new drugs intended to treat serious or life-threatening conditions and address unmet medical need.

Through the fast track program, a product may be eligible for priority review. In addition, the company developing the drug may be allowed to submit sections of the biologic license application or new drug application on a rolling basis as data become available.

Fast track designation also provides the company with opportunities for more frequent meetings with the FDA to discuss the drug’s development plan and ensure collection of the appropriate data needed to support drug approval. And the designation allows for more frequent written communication from the FDA about things such as the design of proposed clinical trials and the use of biomarkers.

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Using Social Media as a Hospital QI Tool

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Can social media be used as a hospital quality improvement tool?

Patient experience has become a major component of the Center for Medicare and Medicaid Services Value‐Based Purchasing initiative.[1] Hospitals have therefore focused quality improvement (QI) efforts on this area.[2] Hospital performance in the realm of patient experience is generally determined using systematic surveys with closed‐ended questions, but patient‐generated narrative feedback can help hospitals identify the components of care that contribute to patient satisfaction and or are in need of improvement.[3] Online narrative responses posted by patients on rating websites or social media have been criticized because they may not be representative of the population,[4] but they also have some advantages.[5] Any patient may leave a comment, not just those who are selected for a survey. Patients may also experience benefits through the act of sharing their story with others. Moreover, most US hospitals use some form of social media,[6] which they can theoretically use to self‐collect narrative data online. To realize the full potential of patient‐generated online narratives, we need a clearer understanding of the best practices for collecting and using these narratives. We therefore solicited patient feedback on the Facebook page of a large tertiary academic medical center to determine whether it is feasible to use social media platforms for learning about and improving hospital quality.

METHODS

Baystate Medical Center (BMC) is a tertiary care medical center in western Massachusetts. We identified key BMC stakeholders in the areas of QI and public affairs. Noting that patients have expressed interest in leaving comments via social media,[7] the group opted to perform a pilot study to obtain patient narratives via a Facebook prompt (Facebook is a social media site used by an estimated 58% of US adults[8]). The BMC public affairs department delivered a press release to the local media describing a 3‐week period during which patients were invited to leave narrative feedback on the BMC Facebook wall. The BMC Institutional Review Board deemed that this study did not constitute human subjects research.

During March 2014 (March 10, 2014March 24, 2014), we posted (once a week) an open‐ended prompt on BMC's Facebook wall. The prompt was designed to elicit novel descriptions of patient experience that could help to drive QI. It read: We want to hear about your experiences. In the comment section below, please tell us what we do well and how we can improve your care. Because of concerns about the potential reputational risks of allowing open feedback on a public social media page, the prompt also reminded patients of the social media ground rules: there should be no mention of specific physicians, nurses, or other caregivers by name (for liability reasons); and patients should not include details about their medical history (for privacy reasons).

We collected all posts to preserve comments and used directed qualitative content analysis to examine them.[9] Two research team members[3, 10, 11] independently coded the responses. Starting with an a priori codebook that was developed during a previous study,[3] they amended the codebook through an iterative process to incorporate new concepts. After independently coding all blocks of text, the coders reviewed their coding selections and resolved discrepancies through discussion. We then performed second‐level coding, in which codes were organized into major pertinent themes. We reviewed the coded text after applying secondary codes in order to check for accuracy of coding and theme assignment as well as completeness of second‐level coding. We calculated percent agreement, defined as both raters scoring a block of text with the same code divided by total number of codes. We also calculated the Spearman correlation between the 2 reviewers. We used descriptive statistics to assess the frequency of select codes and themes (see Supporting Information, Appendix 1 and Appendix 2, in the online version of this article).[9, 12, 13]

RESULTS

Over a 3‐week study period, 47 comments were submitted by 37 respondents. This yielded 148 codable statements (Table 1). Despite limited information on respondents, we ascertained from Facebook that 32 (86%) were women and 5 (14%) were men.

Number of Total, Positive, and Negative Comments and Representative Quotations for Themes
Theme Total Respondents, N (%) % Positive Positive Quotation % Negative Negative Quotation
  • NOTE: Abbreviations: ER, emergency room; IV, intravenous; NICU, neonatal intensive care unit.

Staff 17 (46) 45% The nurses in the pediatric unit, as well as the doctors in radiology and x‐ray department were AMAZING! 55% My 24‐year‐old daughter had to go for 5 days of IV treatmentwhile getting her infusion there was a fire alarm. She has a video showing the flashing of the light and the sound of the alarm and the closing of doors and NOT A SINGLE staff member to be found. Her infusions take about 2 hours. They set it and forget it. Luckily there wasn't a fire and someone did finally come to disconnect her.
Had a fabulous experience with Wesson women's this week! Had a C section and 3‐day admission. All staff from preoperative to inpatient were so helpful and really anticipated my needs before I could even ask for things. My mother was hospitalized for at least 3 weeks right after the cardiovascular center openedwhen she went into cardiac arrest and in acute care and the step unit the care was great, very attentive nurses and doctors. When she was starting to recover and moved upstairs, downhill it went. She'd ring for assistance because she wanted to walk to the bathrooms and more times she was left to her own devices because no one would respond.
Facility 9 (24) 25% New buildings are beautiful and the new signs are way better. 75% The parking situation was disappointing and the waiting room was also very dirty.
I really like the individual pods in the ER. I could have used a single room as my roommate was very annoying and demanding.
Departments 22 (60) 44% The NICU was great when my son was in there. The children's unit was great with my daughter and respected my needs. 56% Revamp maternity; it needs it desperately.
Labor and delivery was a great place. Love Baystate but hate the ER.
Technical aspects of care (eg, errors) 9 (24) 0 100% Day 2 of my 24 year old getting her 2‐hour IV infusion....she was set up with her IV. When checked 2 hours later, the staff member was very upset to find that only the saline had run. She never opened the medication clamp. So now they gave her the medication in 1 hour instead of 2.
If I had 1 suggestion it would be to re‐evaluate patient comfort when patients are waiting to be admitted.

From coded text, several broad themes were identified (see Table 1 for representative quotes): (1) comments about staff (17/37 respondents, 45.9%). These included positive descriptions of efficiency, caring behavior, good training, and good communication, whereas negative comments included descriptions of unfriendliness, apparent lack of caring, inattentiveness, poor training, unprofessional behavior, and poor communication; (2) comments about specific departments (22/37, 59.5%); (3) comments on technical aspects of care, including perceived errors, incorrect diagnoses, and inattention to pain control (9/37, 24.3%); and (4) comments describing the hospital physical plant, parking, and amenities (9/37, 24.3%). There were a few miscellaneous comments that did not fit into these broad themes, such as expressions of gratitude for our solicitation of narratives. Percent agreement between coders was 80% and Spearman's Rho was 0.82 (p<0.001).

A small number (n=3) of respondents repeatedly made comments over the 3‐week period, accounting for 30% (45/148) of codes. These repetitive commenters tended to dominate the Facebook conversation, at times describing the same experience more than once.

DISCUSSION

In this study evaluating the potential utility of social media as a hospital QI tool, several broad themes emerged. From these themes, we identified several areas that could be deemed as QI targets, including: training staff to be more responsive and sensitive to patients needs and concerns, improving patient and visitor parking, and reducing emergency department waiting times. However, the insight gained from solicited Facebook comments was similar to feedback gained from more traditional approaches of soliciting patient perspectives on care, such as patient experience surveys.[14]

Our findings should be viewed in the context of prior work focused on patient narratives in healthcare. Greaves et al. used sentiment analysis to describe the content of nearly 200,000 tweets (comments posted on the social networking website Twitter) sent to National Health Service (NHS) hospitals.[15] Themes were similar to those found in our study: (1) interaction with staff, (2) environment and facilities, and (3) issues of access and timeliness of service. Notably, these themes mirrored prior work examining narratives at NHS hospitals[3] and were similar to domains of commonly used surveys of patient experience.[14] The authors noted that there were issues with the signal to noise ratio (only about 10% of tweets were about quality) and the enforced brevity of Twitter (tweets must be 140 characters or less). These limitations suggest that using Twitter to identify QI targets would be difficult.

In contrast to Greaves et al., we chose to solicit feedback on our hospital's Facebook page. Facebook does not have Twitter's enforced brevity, allowing for more detailed narratives. In addition, we did not encounter the signal‐to‐noise problem, because our prompt was designed to request feedback that was relevant to recent experiences of care. However, a few respondents dominated the conversation, supporting the hypothesis that those most likely to comment may be the patients or families who have had the best or worst experiences. In the future, we will attempt to address this limitation and reduce the influence of repeat commenters by changing our prompt (eg, Please tell us about your experience, but please do not post descriptions of the same experience more than once.).

This pilot demonstrated some of the previously described benefits of online narratives.[5] First, there appears to be value in allowing patients to share their experiences and to read the experiences of others (as indicated in a few grateful patients comments). Second, soliciting online narratives offers a way for hospitals to demonstrate a commitment to transparency. Third, in contrast to closed‐ended survey questions, narrative comments help to identify why patients were satisfied or unsatisfied with their care. Although some surveys with closed‐ended questions also allow for narratives, these comments may or may not be carefully reviewed by the hospital. Using social media to solicit and respond to comments enhances existing methods for evaluating patient experience by engaging patients in a public space, which increases the likelihood that hospitals will attempt to improve care in response.

Notably, none of the identified areas for improvement could be considered novel QI targets for BMC. For example, our hospital has been very focused on training staff around patient experience, and emergency department wait times are the focus of a system‐wide improvement effort called Patient Progress.

This study has other limitations. We conducted this study over a 3‐week time period in a single center and on a single social media site whose members may not be representative of the overall patient population at BMC. Although we do not know how generalizable our findings are (in terms of identifying QI targets), we feel that we have demonstrated how using social media to collect data on patient experience is feasible and could be informative for other hospitals in other locations. It is possible that we did not allow the experiment to run long enough; a longer time or broader outreach (eg, a handout given to every discharged patient over a longer period) may be needed to allow patients adequate opportunity to comment. Of note, we did not specifically examine responses by time period, but it does seem, in post hoc analysis, that after 2 weeks of data collection we reached theoretical saturation with no new themes emerging in the third week (eg, third‐week comments included I heart your nurses. and Love Baystate but hate the ER.). More work is also needed that includes a broader range of social media platforms and more participating hospitals.

In conclusion, the opportunity to provide feedback on Facebook has the potential to engage and empower patients, and hospitals can use these online narratives to help to drive improvement efforts. Yet potential benefits must be weighed against reputational risks, a lack of representative respondents, and the paucity of novel QI targets obtained in this study.

Disclosures: Dr. Lagu is supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health under award number K01HL114745. The authors report no conflicts of interest.

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References
  1. Centers for Medicare 47(2):193219.
  2. Lagu T, Goff SL, Hannon NS, Shatz A, Lindenauer PK. A mixed‐methods analysis of patient reviews of hospital care in England: implications for public reporting of health care quality data in the United States. Jt Comm J Qual Patient Saf. 2013;39(1):715.
  3. Schlesinger M, Grob R, Shaller D, Martino SC, Parker AM, Finucane ML, Cerully JL, Rybowski L. Taking Patients' Narratives about Clinicians from Anecdote to Science. NEJM. 2015;373(7):675679.
  4. Lagu T, Lindenauer PK. Putting the public back in public reporting of health care quality. JAMA. 2010;304(15):17111712.
  5. Griffis HM, Kilaru AS, Werner RM, et al. Use of social media across US hospitals: descriptive analysis of adoption and utilization. J Med Internet Res. 2014;16(11):e264.
  6. Lee JL, Choudhry NK, Wu AW, Matlin OS, Brennan TA, Shrank WH. Patient use of email, Facebook, and physician websites to communicate with physicians: a national online survey of retail pharmacy users [published online June 24, 2015]. J Gen Intern Med. doi:10.1007/s11606-015-3374-7.
  7. Pew Research Center. Social networking fact sheet. Available at: http://www.pewinternet.org/fact‐sheets/social‐networking‐fact‐sheet. Accessed March 4, 2015.
  8. Hsieh H‐F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):12771288.
  9. Lagu T, Hannon NS, Rothberg MB, Lindenauer PK. Patients’ evaluations of health care providers in the era of social networking: an analysis of physician‐rating websites. J Gen Intern Med. 2010;25(9):942946.
  10. Goff SL, Mazor KM, Gagne SJ, Corey KC, Blake DR. Vaccine counseling: a content analysis of patient‐physician discussions regarding human papilloma virus vaccine. Vaccine. 2011;29(43):73437349.
  11. Sofaer S. Qualitative research methods. Int J Qual Health Care. 2002;14(4):329336.
  12. Crabtree BF, Miller WL. Doing Qualitative Research. Vol 2. Thousand Oaks, CA: Sage Publications; 1999.
  13. Jha AK, Orav EJ, Zheng J, Epstein AM. Patients’ perception of hospital care in the United States. N Engl J Med. 2008;359(18):19211931.
  14. Greaves F, Laverty AA, Cano DR, et al. Tweets about hospital quality: a mixed methods study. BMJ Qual Saf. 2014;23(10):838846.
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Patient experience has become a major component of the Center for Medicare and Medicaid Services Value‐Based Purchasing initiative.[1] Hospitals have therefore focused quality improvement (QI) efforts on this area.[2] Hospital performance in the realm of patient experience is generally determined using systematic surveys with closed‐ended questions, but patient‐generated narrative feedback can help hospitals identify the components of care that contribute to patient satisfaction and or are in need of improvement.[3] Online narrative responses posted by patients on rating websites or social media have been criticized because they may not be representative of the population,[4] but they also have some advantages.[5] Any patient may leave a comment, not just those who are selected for a survey. Patients may also experience benefits through the act of sharing their story with others. Moreover, most US hospitals use some form of social media,[6] which they can theoretically use to self‐collect narrative data online. To realize the full potential of patient‐generated online narratives, we need a clearer understanding of the best practices for collecting and using these narratives. We therefore solicited patient feedback on the Facebook page of a large tertiary academic medical center to determine whether it is feasible to use social media platforms for learning about and improving hospital quality.

METHODS

Baystate Medical Center (BMC) is a tertiary care medical center in western Massachusetts. We identified key BMC stakeholders in the areas of QI and public affairs. Noting that patients have expressed interest in leaving comments via social media,[7] the group opted to perform a pilot study to obtain patient narratives via a Facebook prompt (Facebook is a social media site used by an estimated 58% of US adults[8]). The BMC public affairs department delivered a press release to the local media describing a 3‐week period during which patients were invited to leave narrative feedback on the BMC Facebook wall. The BMC Institutional Review Board deemed that this study did not constitute human subjects research.

During March 2014 (March 10, 2014March 24, 2014), we posted (once a week) an open‐ended prompt on BMC's Facebook wall. The prompt was designed to elicit novel descriptions of patient experience that could help to drive QI. It read: We want to hear about your experiences. In the comment section below, please tell us what we do well and how we can improve your care. Because of concerns about the potential reputational risks of allowing open feedback on a public social media page, the prompt also reminded patients of the social media ground rules: there should be no mention of specific physicians, nurses, or other caregivers by name (for liability reasons); and patients should not include details about their medical history (for privacy reasons).

We collected all posts to preserve comments and used directed qualitative content analysis to examine them.[9] Two research team members[3, 10, 11] independently coded the responses. Starting with an a priori codebook that was developed during a previous study,[3] they amended the codebook through an iterative process to incorporate new concepts. After independently coding all blocks of text, the coders reviewed their coding selections and resolved discrepancies through discussion. We then performed second‐level coding, in which codes were organized into major pertinent themes. We reviewed the coded text after applying secondary codes in order to check for accuracy of coding and theme assignment as well as completeness of second‐level coding. We calculated percent agreement, defined as both raters scoring a block of text with the same code divided by total number of codes. We also calculated the Spearman correlation between the 2 reviewers. We used descriptive statistics to assess the frequency of select codes and themes (see Supporting Information, Appendix 1 and Appendix 2, in the online version of this article).[9, 12, 13]

RESULTS

Over a 3‐week study period, 47 comments were submitted by 37 respondents. This yielded 148 codable statements (Table 1). Despite limited information on respondents, we ascertained from Facebook that 32 (86%) were women and 5 (14%) were men.

Number of Total, Positive, and Negative Comments and Representative Quotations for Themes
Theme Total Respondents, N (%) % Positive Positive Quotation % Negative Negative Quotation
  • NOTE: Abbreviations: ER, emergency room; IV, intravenous; NICU, neonatal intensive care unit.

Staff 17 (46) 45% The nurses in the pediatric unit, as well as the doctors in radiology and x‐ray department were AMAZING! 55% My 24‐year‐old daughter had to go for 5 days of IV treatmentwhile getting her infusion there was a fire alarm. She has a video showing the flashing of the light and the sound of the alarm and the closing of doors and NOT A SINGLE staff member to be found. Her infusions take about 2 hours. They set it and forget it. Luckily there wasn't a fire and someone did finally come to disconnect her.
Had a fabulous experience with Wesson women's this week! Had a C section and 3‐day admission. All staff from preoperative to inpatient were so helpful and really anticipated my needs before I could even ask for things. My mother was hospitalized for at least 3 weeks right after the cardiovascular center openedwhen she went into cardiac arrest and in acute care and the step unit the care was great, very attentive nurses and doctors. When she was starting to recover and moved upstairs, downhill it went. She'd ring for assistance because she wanted to walk to the bathrooms and more times she was left to her own devices because no one would respond.
Facility 9 (24) 25% New buildings are beautiful and the new signs are way better. 75% The parking situation was disappointing and the waiting room was also very dirty.
I really like the individual pods in the ER. I could have used a single room as my roommate was very annoying and demanding.
Departments 22 (60) 44% The NICU was great when my son was in there. The children's unit was great with my daughter and respected my needs. 56% Revamp maternity; it needs it desperately.
Labor and delivery was a great place. Love Baystate but hate the ER.
Technical aspects of care (eg, errors) 9 (24) 0 100% Day 2 of my 24 year old getting her 2‐hour IV infusion....she was set up with her IV. When checked 2 hours later, the staff member was very upset to find that only the saline had run. She never opened the medication clamp. So now they gave her the medication in 1 hour instead of 2.
If I had 1 suggestion it would be to re‐evaluate patient comfort when patients are waiting to be admitted.

From coded text, several broad themes were identified (see Table 1 for representative quotes): (1) comments about staff (17/37 respondents, 45.9%). These included positive descriptions of efficiency, caring behavior, good training, and good communication, whereas negative comments included descriptions of unfriendliness, apparent lack of caring, inattentiveness, poor training, unprofessional behavior, and poor communication; (2) comments about specific departments (22/37, 59.5%); (3) comments on technical aspects of care, including perceived errors, incorrect diagnoses, and inattention to pain control (9/37, 24.3%); and (4) comments describing the hospital physical plant, parking, and amenities (9/37, 24.3%). There were a few miscellaneous comments that did not fit into these broad themes, such as expressions of gratitude for our solicitation of narratives. Percent agreement between coders was 80% and Spearman's Rho was 0.82 (p<0.001).

A small number (n=3) of respondents repeatedly made comments over the 3‐week period, accounting for 30% (45/148) of codes. These repetitive commenters tended to dominate the Facebook conversation, at times describing the same experience more than once.

DISCUSSION

In this study evaluating the potential utility of social media as a hospital QI tool, several broad themes emerged. From these themes, we identified several areas that could be deemed as QI targets, including: training staff to be more responsive and sensitive to patients needs and concerns, improving patient and visitor parking, and reducing emergency department waiting times. However, the insight gained from solicited Facebook comments was similar to feedback gained from more traditional approaches of soliciting patient perspectives on care, such as patient experience surveys.[14]

Our findings should be viewed in the context of prior work focused on patient narratives in healthcare. Greaves et al. used sentiment analysis to describe the content of nearly 200,000 tweets (comments posted on the social networking website Twitter) sent to National Health Service (NHS) hospitals.[15] Themes were similar to those found in our study: (1) interaction with staff, (2) environment and facilities, and (3) issues of access and timeliness of service. Notably, these themes mirrored prior work examining narratives at NHS hospitals[3] and were similar to domains of commonly used surveys of patient experience.[14] The authors noted that there were issues with the signal to noise ratio (only about 10% of tweets were about quality) and the enforced brevity of Twitter (tweets must be 140 characters or less). These limitations suggest that using Twitter to identify QI targets would be difficult.

In contrast to Greaves et al., we chose to solicit feedback on our hospital's Facebook page. Facebook does not have Twitter's enforced brevity, allowing for more detailed narratives. In addition, we did not encounter the signal‐to‐noise problem, because our prompt was designed to request feedback that was relevant to recent experiences of care. However, a few respondents dominated the conversation, supporting the hypothesis that those most likely to comment may be the patients or families who have had the best or worst experiences. In the future, we will attempt to address this limitation and reduce the influence of repeat commenters by changing our prompt (eg, Please tell us about your experience, but please do not post descriptions of the same experience more than once.).

This pilot demonstrated some of the previously described benefits of online narratives.[5] First, there appears to be value in allowing patients to share their experiences and to read the experiences of others (as indicated in a few grateful patients comments). Second, soliciting online narratives offers a way for hospitals to demonstrate a commitment to transparency. Third, in contrast to closed‐ended survey questions, narrative comments help to identify why patients were satisfied or unsatisfied with their care. Although some surveys with closed‐ended questions also allow for narratives, these comments may or may not be carefully reviewed by the hospital. Using social media to solicit and respond to comments enhances existing methods for evaluating patient experience by engaging patients in a public space, which increases the likelihood that hospitals will attempt to improve care in response.

Notably, none of the identified areas for improvement could be considered novel QI targets for BMC. For example, our hospital has been very focused on training staff around patient experience, and emergency department wait times are the focus of a system‐wide improvement effort called Patient Progress.

This study has other limitations. We conducted this study over a 3‐week time period in a single center and on a single social media site whose members may not be representative of the overall patient population at BMC. Although we do not know how generalizable our findings are (in terms of identifying QI targets), we feel that we have demonstrated how using social media to collect data on patient experience is feasible and could be informative for other hospitals in other locations. It is possible that we did not allow the experiment to run long enough; a longer time or broader outreach (eg, a handout given to every discharged patient over a longer period) may be needed to allow patients adequate opportunity to comment. Of note, we did not specifically examine responses by time period, but it does seem, in post hoc analysis, that after 2 weeks of data collection we reached theoretical saturation with no new themes emerging in the third week (eg, third‐week comments included I heart your nurses. and Love Baystate but hate the ER.). More work is also needed that includes a broader range of social media platforms and more participating hospitals.

In conclusion, the opportunity to provide feedback on Facebook has the potential to engage and empower patients, and hospitals can use these online narratives to help to drive improvement efforts. Yet potential benefits must be weighed against reputational risks, a lack of representative respondents, and the paucity of novel QI targets obtained in this study.

Disclosures: Dr. Lagu is supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health under award number K01HL114745. The authors report no conflicts of interest.

Patient experience has become a major component of the Center for Medicare and Medicaid Services Value‐Based Purchasing initiative.[1] Hospitals have therefore focused quality improvement (QI) efforts on this area.[2] Hospital performance in the realm of patient experience is generally determined using systematic surveys with closed‐ended questions, but patient‐generated narrative feedback can help hospitals identify the components of care that contribute to patient satisfaction and or are in need of improvement.[3] Online narrative responses posted by patients on rating websites or social media have been criticized because they may not be representative of the population,[4] but they also have some advantages.[5] Any patient may leave a comment, not just those who are selected for a survey. Patients may also experience benefits through the act of sharing their story with others. Moreover, most US hospitals use some form of social media,[6] which they can theoretically use to self‐collect narrative data online. To realize the full potential of patient‐generated online narratives, we need a clearer understanding of the best practices for collecting and using these narratives. We therefore solicited patient feedback on the Facebook page of a large tertiary academic medical center to determine whether it is feasible to use social media platforms for learning about and improving hospital quality.

METHODS

Baystate Medical Center (BMC) is a tertiary care medical center in western Massachusetts. We identified key BMC stakeholders in the areas of QI and public affairs. Noting that patients have expressed interest in leaving comments via social media,[7] the group opted to perform a pilot study to obtain patient narratives via a Facebook prompt (Facebook is a social media site used by an estimated 58% of US adults[8]). The BMC public affairs department delivered a press release to the local media describing a 3‐week period during which patients were invited to leave narrative feedback on the BMC Facebook wall. The BMC Institutional Review Board deemed that this study did not constitute human subjects research.

During March 2014 (March 10, 2014March 24, 2014), we posted (once a week) an open‐ended prompt on BMC's Facebook wall. The prompt was designed to elicit novel descriptions of patient experience that could help to drive QI. It read: We want to hear about your experiences. In the comment section below, please tell us what we do well and how we can improve your care. Because of concerns about the potential reputational risks of allowing open feedback on a public social media page, the prompt also reminded patients of the social media ground rules: there should be no mention of specific physicians, nurses, or other caregivers by name (for liability reasons); and patients should not include details about their medical history (for privacy reasons).

We collected all posts to preserve comments and used directed qualitative content analysis to examine them.[9] Two research team members[3, 10, 11] independently coded the responses. Starting with an a priori codebook that was developed during a previous study,[3] they amended the codebook through an iterative process to incorporate new concepts. After independently coding all blocks of text, the coders reviewed their coding selections and resolved discrepancies through discussion. We then performed second‐level coding, in which codes were organized into major pertinent themes. We reviewed the coded text after applying secondary codes in order to check for accuracy of coding and theme assignment as well as completeness of second‐level coding. We calculated percent agreement, defined as both raters scoring a block of text with the same code divided by total number of codes. We also calculated the Spearman correlation between the 2 reviewers. We used descriptive statistics to assess the frequency of select codes and themes (see Supporting Information, Appendix 1 and Appendix 2, in the online version of this article).[9, 12, 13]

RESULTS

Over a 3‐week study period, 47 comments were submitted by 37 respondents. This yielded 148 codable statements (Table 1). Despite limited information on respondents, we ascertained from Facebook that 32 (86%) were women and 5 (14%) were men.

Number of Total, Positive, and Negative Comments and Representative Quotations for Themes
Theme Total Respondents, N (%) % Positive Positive Quotation % Negative Negative Quotation
  • NOTE: Abbreviations: ER, emergency room; IV, intravenous; NICU, neonatal intensive care unit.

Staff 17 (46) 45% The nurses in the pediatric unit, as well as the doctors in radiology and x‐ray department were AMAZING! 55% My 24‐year‐old daughter had to go for 5 days of IV treatmentwhile getting her infusion there was a fire alarm. She has a video showing the flashing of the light and the sound of the alarm and the closing of doors and NOT A SINGLE staff member to be found. Her infusions take about 2 hours. They set it and forget it. Luckily there wasn't a fire and someone did finally come to disconnect her.
Had a fabulous experience with Wesson women's this week! Had a C section and 3‐day admission. All staff from preoperative to inpatient were so helpful and really anticipated my needs before I could even ask for things. My mother was hospitalized for at least 3 weeks right after the cardiovascular center openedwhen she went into cardiac arrest and in acute care and the step unit the care was great, very attentive nurses and doctors. When she was starting to recover and moved upstairs, downhill it went. She'd ring for assistance because she wanted to walk to the bathrooms and more times she was left to her own devices because no one would respond.
Facility 9 (24) 25% New buildings are beautiful and the new signs are way better. 75% The parking situation was disappointing and the waiting room was also very dirty.
I really like the individual pods in the ER. I could have used a single room as my roommate was very annoying and demanding.
Departments 22 (60) 44% The NICU was great when my son was in there. The children's unit was great with my daughter and respected my needs. 56% Revamp maternity; it needs it desperately.
Labor and delivery was a great place. Love Baystate but hate the ER.
Technical aspects of care (eg, errors) 9 (24) 0 100% Day 2 of my 24 year old getting her 2‐hour IV infusion....she was set up with her IV. When checked 2 hours later, the staff member was very upset to find that only the saline had run. She never opened the medication clamp. So now they gave her the medication in 1 hour instead of 2.
If I had 1 suggestion it would be to re‐evaluate patient comfort when patients are waiting to be admitted.

From coded text, several broad themes were identified (see Table 1 for representative quotes): (1) comments about staff (17/37 respondents, 45.9%). These included positive descriptions of efficiency, caring behavior, good training, and good communication, whereas negative comments included descriptions of unfriendliness, apparent lack of caring, inattentiveness, poor training, unprofessional behavior, and poor communication; (2) comments about specific departments (22/37, 59.5%); (3) comments on technical aspects of care, including perceived errors, incorrect diagnoses, and inattention to pain control (9/37, 24.3%); and (4) comments describing the hospital physical plant, parking, and amenities (9/37, 24.3%). There were a few miscellaneous comments that did not fit into these broad themes, such as expressions of gratitude for our solicitation of narratives. Percent agreement between coders was 80% and Spearman's Rho was 0.82 (p<0.001).

A small number (n=3) of respondents repeatedly made comments over the 3‐week period, accounting for 30% (45/148) of codes. These repetitive commenters tended to dominate the Facebook conversation, at times describing the same experience more than once.

DISCUSSION

In this study evaluating the potential utility of social media as a hospital QI tool, several broad themes emerged. From these themes, we identified several areas that could be deemed as QI targets, including: training staff to be more responsive and sensitive to patients needs and concerns, improving patient and visitor parking, and reducing emergency department waiting times. However, the insight gained from solicited Facebook comments was similar to feedback gained from more traditional approaches of soliciting patient perspectives on care, such as patient experience surveys.[14]

Our findings should be viewed in the context of prior work focused on patient narratives in healthcare. Greaves et al. used sentiment analysis to describe the content of nearly 200,000 tweets (comments posted on the social networking website Twitter) sent to National Health Service (NHS) hospitals.[15] Themes were similar to those found in our study: (1) interaction with staff, (2) environment and facilities, and (3) issues of access and timeliness of service. Notably, these themes mirrored prior work examining narratives at NHS hospitals[3] and were similar to domains of commonly used surveys of patient experience.[14] The authors noted that there were issues with the signal to noise ratio (only about 10% of tweets were about quality) and the enforced brevity of Twitter (tweets must be 140 characters or less). These limitations suggest that using Twitter to identify QI targets would be difficult.

In contrast to Greaves et al., we chose to solicit feedback on our hospital's Facebook page. Facebook does not have Twitter's enforced brevity, allowing for more detailed narratives. In addition, we did not encounter the signal‐to‐noise problem, because our prompt was designed to request feedback that was relevant to recent experiences of care. However, a few respondents dominated the conversation, supporting the hypothesis that those most likely to comment may be the patients or families who have had the best or worst experiences. In the future, we will attempt to address this limitation and reduce the influence of repeat commenters by changing our prompt (eg, Please tell us about your experience, but please do not post descriptions of the same experience more than once.).

This pilot demonstrated some of the previously described benefits of online narratives.[5] First, there appears to be value in allowing patients to share their experiences and to read the experiences of others (as indicated in a few grateful patients comments). Second, soliciting online narratives offers a way for hospitals to demonstrate a commitment to transparency. Third, in contrast to closed‐ended survey questions, narrative comments help to identify why patients were satisfied or unsatisfied with their care. Although some surveys with closed‐ended questions also allow for narratives, these comments may or may not be carefully reviewed by the hospital. Using social media to solicit and respond to comments enhances existing methods for evaluating patient experience by engaging patients in a public space, which increases the likelihood that hospitals will attempt to improve care in response.

Notably, none of the identified areas for improvement could be considered novel QI targets for BMC. For example, our hospital has been very focused on training staff around patient experience, and emergency department wait times are the focus of a system‐wide improvement effort called Patient Progress.

This study has other limitations. We conducted this study over a 3‐week time period in a single center and on a single social media site whose members may not be representative of the overall patient population at BMC. Although we do not know how generalizable our findings are (in terms of identifying QI targets), we feel that we have demonstrated how using social media to collect data on patient experience is feasible and could be informative for other hospitals in other locations. It is possible that we did not allow the experiment to run long enough; a longer time or broader outreach (eg, a handout given to every discharged patient over a longer period) may be needed to allow patients adequate opportunity to comment. Of note, we did not specifically examine responses by time period, but it does seem, in post hoc analysis, that after 2 weeks of data collection we reached theoretical saturation with no new themes emerging in the third week (eg, third‐week comments included I heart your nurses. and Love Baystate but hate the ER.). More work is also needed that includes a broader range of social media platforms and more participating hospitals.

In conclusion, the opportunity to provide feedback on Facebook has the potential to engage and empower patients, and hospitals can use these online narratives to help to drive improvement efforts. Yet potential benefits must be weighed against reputational risks, a lack of representative respondents, and the paucity of novel QI targets obtained in this study.

Disclosures: Dr. Lagu is supported by the National Heart, Lung, and Blood Institute of the National Institutes of Health under award number K01HL114745. The authors report no conflicts of interest.

References
  1. Centers for Medicare 47(2):193219.
  2. Lagu T, Goff SL, Hannon NS, Shatz A, Lindenauer PK. A mixed‐methods analysis of patient reviews of hospital care in England: implications for public reporting of health care quality data in the United States. Jt Comm J Qual Patient Saf. 2013;39(1):715.
  3. Schlesinger M, Grob R, Shaller D, Martino SC, Parker AM, Finucane ML, Cerully JL, Rybowski L. Taking Patients' Narratives about Clinicians from Anecdote to Science. NEJM. 2015;373(7):675679.
  4. Lagu T, Lindenauer PK. Putting the public back in public reporting of health care quality. JAMA. 2010;304(15):17111712.
  5. Griffis HM, Kilaru AS, Werner RM, et al. Use of social media across US hospitals: descriptive analysis of adoption and utilization. J Med Internet Res. 2014;16(11):e264.
  6. Lee JL, Choudhry NK, Wu AW, Matlin OS, Brennan TA, Shrank WH. Patient use of email, Facebook, and physician websites to communicate with physicians: a national online survey of retail pharmacy users [published online June 24, 2015]. J Gen Intern Med. doi:10.1007/s11606-015-3374-7.
  7. Pew Research Center. Social networking fact sheet. Available at: http://www.pewinternet.org/fact‐sheets/social‐networking‐fact‐sheet. Accessed March 4, 2015.
  8. Hsieh H‐F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):12771288.
  9. Lagu T, Hannon NS, Rothberg MB, Lindenauer PK. Patients’ evaluations of health care providers in the era of social networking: an analysis of physician‐rating websites. J Gen Intern Med. 2010;25(9):942946.
  10. Goff SL, Mazor KM, Gagne SJ, Corey KC, Blake DR. Vaccine counseling: a content analysis of patient‐physician discussions regarding human papilloma virus vaccine. Vaccine. 2011;29(43):73437349.
  11. Sofaer S. Qualitative research methods. Int J Qual Health Care. 2002;14(4):329336.
  12. Crabtree BF, Miller WL. Doing Qualitative Research. Vol 2. Thousand Oaks, CA: Sage Publications; 1999.
  13. Jha AK, Orav EJ, Zheng J, Epstein AM. Patients’ perception of hospital care in the United States. N Engl J Med. 2008;359(18):19211931.
  14. Greaves F, Laverty AA, Cano DR, et al. Tweets about hospital quality: a mixed methods study. BMJ Qual Saf. 2014;23(10):838846.
References
  1. Centers for Medicare 47(2):193219.
  2. Lagu T, Goff SL, Hannon NS, Shatz A, Lindenauer PK. A mixed‐methods analysis of patient reviews of hospital care in England: implications for public reporting of health care quality data in the United States. Jt Comm J Qual Patient Saf. 2013;39(1):715.
  3. Schlesinger M, Grob R, Shaller D, Martino SC, Parker AM, Finucane ML, Cerully JL, Rybowski L. Taking Patients' Narratives about Clinicians from Anecdote to Science. NEJM. 2015;373(7):675679.
  4. Lagu T, Lindenauer PK. Putting the public back in public reporting of health care quality. JAMA. 2010;304(15):17111712.
  5. Griffis HM, Kilaru AS, Werner RM, et al. Use of social media across US hospitals: descriptive analysis of adoption and utilization. J Med Internet Res. 2014;16(11):e264.
  6. Lee JL, Choudhry NK, Wu AW, Matlin OS, Brennan TA, Shrank WH. Patient use of email, Facebook, and physician websites to communicate with physicians: a national online survey of retail pharmacy users [published online June 24, 2015]. J Gen Intern Med. doi:10.1007/s11606-015-3374-7.
  7. Pew Research Center. Social networking fact sheet. Available at: http://www.pewinternet.org/fact‐sheets/social‐networking‐fact‐sheet. Accessed March 4, 2015.
  8. Hsieh H‐F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):12771288.
  9. Lagu T, Hannon NS, Rothberg MB, Lindenauer PK. Patients’ evaluations of health care providers in the era of social networking: an analysis of physician‐rating websites. J Gen Intern Med. 2010;25(9):942946.
  10. Goff SL, Mazor KM, Gagne SJ, Corey KC, Blake DR. Vaccine counseling: a content analysis of patient‐physician discussions regarding human papilloma virus vaccine. Vaccine. 2011;29(43):73437349.
  11. Sofaer S. Qualitative research methods. Int J Qual Health Care. 2002;14(4):329336.
  12. Crabtree BF, Miller WL. Doing Qualitative Research. Vol 2. Thousand Oaks, CA: Sage Publications; 1999.
  13. Jha AK, Orav EJ, Zheng J, Epstein AM. Patients’ perception of hospital care in the United States. N Engl J Med. 2008;359(18):19211931.
  14. Greaves F, Laverty AA, Cano DR, et al. Tweets about hospital quality: a mixed methods study. BMJ Qual Saf. 2014;23(10):838846.
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Can social media be used as a hospital quality improvement tool?
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Can social media be used as a hospital quality improvement tool?
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Address for correspondence and reprint requests: Tara Lagu, MD, MPH, Center for Quality of Care Research, Baystate Medical Center, 280 Chestnut St., Springfield, MA 01199; Telephone: 413‐794‐7688; Fax: 413‐794‐8866; E‐mail: [email protected]
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Ischemic Stroke Workup

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Enough is enough? The changing world of ischemic stroke workup

After entertaining the possibility of acute intervention, the majority of hospitalists efforts in the management of patients with ischemic stroke involve identifying an etiology and initiating secondary prevention strategies. Other than evaluating stroke risk factors, workup has traditionally involved extracranial and intracranial vessel imaging, cardiac telemetry, and echocardiography. Even after exhaustive searches, no cause for stroke is found in nearly 25% of cases, leading to a recent focus on determining why these so‐called cryptogenic strokes happen and how to prevent their recurrence.[1, 2]

Echocardiography is commonly obtained in most patients with ischemic stroke, but its yield is probably modest at best. Although transesophageal echocardiography (TEE) may be superior to transthoracic echocardiography (TTE) for determining an etiology of stroke, whether these findings substantially change management remains debatable.[3, 4] In this issue of the Journal of Hospital Medicine, Marino and colleagues examined the yield of TEE in patients without a known cause of ischemic stroke following a normal TTE.[5] A possible cause of stroke was identified in 42%, including aortic plaques and patent foramen ovale (PFO), but in only 1 patient did this discovery change management.

Secondary prevention strategies in ischemic stroke outside of atrial fibrillation now almost exclusively involve antiplatelet medications.[6] Studies of secondary prevention in aortic arch atheromas, patients with depressed systolic function, and those with PFO have failed to demonstrate any strategy that is superior to antiplatelets, and therefore the bar is high to show that any TEE findings impact treatment other than obvious and rare smoking guns such as a rare valvular lesion, cardiac tumor, or atrial thrombus.[7, 8, 9]

What is more of a recent headline in stroke workup is the increasing emphasis on long‐term cardiac monitoring following discharge to detect those with atrial fibrillation, which likely comprise between 15% and 20% of cryptogenic stroke patients.[10] Finding atrial fibrillation clearly changes management and therefore has a higher yield than the vast majority of possible findings on echocardiography. Perhaps in patients in whom a TEE is being considered, extended monitoring should happen first as an outpatient, followed by TEE if the stroke etiology remains obscure. On the other hand, severe left atrial enlargement, thrombus in the atrium, or atrial spontaneous echo contrast (smoke) are features on echocardiography that might raise the suspicion of atrial fibrillation so high that anticoagulation could be considered while long‐term monitoring is being used to definitively prove an atrial arrhythmia.

The current study does have some limitations other than those inherent to its retrospective design. Patients were only included if they were older than 50 years. Some have advocated using TEE as the echocardiogram of choice in young stroke patients due to its perhaps higher yield in these individuals; this study does not address this strategy. At institutions such as ours, an abnormal TTE in a cryptogenic stroke patient is followed by a TEE, and this study again does not alter this approach, because only those with a normal TTE were included. The definition of a normal TTE used in the study was so narrow, including normal left ventricular systolic function, that a majority of stroke patients with vascular risk factors such as hypertension would have likely been excluded. Determining what features and quality of a TTE are so definitive that a TEE is not necessary will be an important thrust of additional research. However, because TEE shows a better view of the left atrial appendage, the aortic arch, and is probably a better shunt study compared with TTE, it is not clear if a normal TTE will ever be adequate to prevent this second more invasive study in selected patients.

At the heart of the matter for health systems is the cost‐effectiveness of any screening approach used to determine the etiology of acute ischemic stroke. Studies are underway that will likely demonstrate that long‐term monitoring for atrial fibrillation will be worth it. Although it is dubious that TEE would ever fall into the same category due to its low yield, one might imagine a scenario, as our workup for cryptogenic stroke becomes more and more complicated, where obtaining a TEE is cost‐effective simply because it gives an answer and therefore can halt further testing. Perhaps at the end of the day, a TEE will just allow us to say to our stroke patients that enough is enough.

Disclosures: Dr. Josephson receives personal compensation as Editor‐in‐Chief of the New England Journal of Medicine Journal Watch Neurology and in an editorial capacity for Continuum Audio.

References
  1. Hart RG, Diener HC, Coutts SB, et al. Embolic strokes of undetermined source: the case for a new clinical construct. Lancet Neurol. 2014;13:429438.
  2. Lin L, Yiin GS, Geraghty OC, et al. Incidence, outcome, risk factors, and long‐term prognosis of cryptogenic transient ischaemic attack and ischaemic stroke: a population‐based study. Lancet Neurol. 2015;14:903913.
  3. Bruijn SF, Agema WR, Lammers GJ, et al. Transesophageal echocardiography is superior to transthoracic echocardiography in management of patients of any age with transient ischemic attack or stroke. Stroke. 2006;37:25312534.
  4. McGrath ER, Paikin JS, Motlagh B, Salehian O, Kapral MK, O'Donnell MJ. Transesophageal echocardiography in patients with cryptogenic ischemic stroke: a systematic review. Am Heart J. 2014;168:706712.
  5. Marino B, Jaiswal A, Goldbarg S, Bernardini GL, Kerwin T. Impact of transesophageal echocardiography on clinical management of patients over age 50 with cryptogenic stroke and normal transthoracic echocardiogram. J Hosp Med. 2016;11(2):9598.
  6. Kernan WN, Ovbiagele B, Black HR, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45:21602236.
  7. Amarenco P, Davis S, Jones EF, et al. Clopidogrel plus aspirin versus warfarin in patients with stroke and aortic arch plaques. Stroke. 2014;45:12481257.
  8. Homma S, Thompson JL, Pullicino PM, et al. Warfarin and aspirin in patients with heart failure and sinus rhythm. N Engl J Med. 2012;366:18591869.
  9. Furlan AJ, Reisman M, Massaro J, et al. Closure or medical therapy for cryptogenic stroke with patent foramen ovale. N Engl J Med. 2012;366:991999.
  10. Gladstone DJ, Spring M, Dorian P, et al. Atrial fibrillation in patients with cryptogenic stroke. N Engl J Med. 2014;370:24672477.
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Journal of Hospital Medicine - 11(2)
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151-152
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After entertaining the possibility of acute intervention, the majority of hospitalists efforts in the management of patients with ischemic stroke involve identifying an etiology and initiating secondary prevention strategies. Other than evaluating stroke risk factors, workup has traditionally involved extracranial and intracranial vessel imaging, cardiac telemetry, and echocardiography. Even after exhaustive searches, no cause for stroke is found in nearly 25% of cases, leading to a recent focus on determining why these so‐called cryptogenic strokes happen and how to prevent their recurrence.[1, 2]

Echocardiography is commonly obtained in most patients with ischemic stroke, but its yield is probably modest at best. Although transesophageal echocardiography (TEE) may be superior to transthoracic echocardiography (TTE) for determining an etiology of stroke, whether these findings substantially change management remains debatable.[3, 4] In this issue of the Journal of Hospital Medicine, Marino and colleagues examined the yield of TEE in patients without a known cause of ischemic stroke following a normal TTE.[5] A possible cause of stroke was identified in 42%, including aortic plaques and patent foramen ovale (PFO), but in only 1 patient did this discovery change management.

Secondary prevention strategies in ischemic stroke outside of atrial fibrillation now almost exclusively involve antiplatelet medications.[6] Studies of secondary prevention in aortic arch atheromas, patients with depressed systolic function, and those with PFO have failed to demonstrate any strategy that is superior to antiplatelets, and therefore the bar is high to show that any TEE findings impact treatment other than obvious and rare smoking guns such as a rare valvular lesion, cardiac tumor, or atrial thrombus.[7, 8, 9]

What is more of a recent headline in stroke workup is the increasing emphasis on long‐term cardiac monitoring following discharge to detect those with atrial fibrillation, which likely comprise between 15% and 20% of cryptogenic stroke patients.[10] Finding atrial fibrillation clearly changes management and therefore has a higher yield than the vast majority of possible findings on echocardiography. Perhaps in patients in whom a TEE is being considered, extended monitoring should happen first as an outpatient, followed by TEE if the stroke etiology remains obscure. On the other hand, severe left atrial enlargement, thrombus in the atrium, or atrial spontaneous echo contrast (smoke) are features on echocardiography that might raise the suspicion of atrial fibrillation so high that anticoagulation could be considered while long‐term monitoring is being used to definitively prove an atrial arrhythmia.

The current study does have some limitations other than those inherent to its retrospective design. Patients were only included if they were older than 50 years. Some have advocated using TEE as the echocardiogram of choice in young stroke patients due to its perhaps higher yield in these individuals; this study does not address this strategy. At institutions such as ours, an abnormal TTE in a cryptogenic stroke patient is followed by a TEE, and this study again does not alter this approach, because only those with a normal TTE were included. The definition of a normal TTE used in the study was so narrow, including normal left ventricular systolic function, that a majority of stroke patients with vascular risk factors such as hypertension would have likely been excluded. Determining what features and quality of a TTE are so definitive that a TEE is not necessary will be an important thrust of additional research. However, because TEE shows a better view of the left atrial appendage, the aortic arch, and is probably a better shunt study compared with TTE, it is not clear if a normal TTE will ever be adequate to prevent this second more invasive study in selected patients.

At the heart of the matter for health systems is the cost‐effectiveness of any screening approach used to determine the etiology of acute ischemic stroke. Studies are underway that will likely demonstrate that long‐term monitoring for atrial fibrillation will be worth it. Although it is dubious that TEE would ever fall into the same category due to its low yield, one might imagine a scenario, as our workup for cryptogenic stroke becomes more and more complicated, where obtaining a TEE is cost‐effective simply because it gives an answer and therefore can halt further testing. Perhaps at the end of the day, a TEE will just allow us to say to our stroke patients that enough is enough.

Disclosures: Dr. Josephson receives personal compensation as Editor‐in‐Chief of the New England Journal of Medicine Journal Watch Neurology and in an editorial capacity for Continuum Audio.

After entertaining the possibility of acute intervention, the majority of hospitalists efforts in the management of patients with ischemic stroke involve identifying an etiology and initiating secondary prevention strategies. Other than evaluating stroke risk factors, workup has traditionally involved extracranial and intracranial vessel imaging, cardiac telemetry, and echocardiography. Even after exhaustive searches, no cause for stroke is found in nearly 25% of cases, leading to a recent focus on determining why these so‐called cryptogenic strokes happen and how to prevent their recurrence.[1, 2]

Echocardiography is commonly obtained in most patients with ischemic stroke, but its yield is probably modest at best. Although transesophageal echocardiography (TEE) may be superior to transthoracic echocardiography (TTE) for determining an etiology of stroke, whether these findings substantially change management remains debatable.[3, 4] In this issue of the Journal of Hospital Medicine, Marino and colleagues examined the yield of TEE in patients without a known cause of ischemic stroke following a normal TTE.[5] A possible cause of stroke was identified in 42%, including aortic plaques and patent foramen ovale (PFO), but in only 1 patient did this discovery change management.

Secondary prevention strategies in ischemic stroke outside of atrial fibrillation now almost exclusively involve antiplatelet medications.[6] Studies of secondary prevention in aortic arch atheromas, patients with depressed systolic function, and those with PFO have failed to demonstrate any strategy that is superior to antiplatelets, and therefore the bar is high to show that any TEE findings impact treatment other than obvious and rare smoking guns such as a rare valvular lesion, cardiac tumor, or atrial thrombus.[7, 8, 9]

What is more of a recent headline in stroke workup is the increasing emphasis on long‐term cardiac monitoring following discharge to detect those with atrial fibrillation, which likely comprise between 15% and 20% of cryptogenic stroke patients.[10] Finding atrial fibrillation clearly changes management and therefore has a higher yield than the vast majority of possible findings on echocardiography. Perhaps in patients in whom a TEE is being considered, extended monitoring should happen first as an outpatient, followed by TEE if the stroke etiology remains obscure. On the other hand, severe left atrial enlargement, thrombus in the atrium, or atrial spontaneous echo contrast (smoke) are features on echocardiography that might raise the suspicion of atrial fibrillation so high that anticoagulation could be considered while long‐term monitoring is being used to definitively prove an atrial arrhythmia.

The current study does have some limitations other than those inherent to its retrospective design. Patients were only included if they were older than 50 years. Some have advocated using TEE as the echocardiogram of choice in young stroke patients due to its perhaps higher yield in these individuals; this study does not address this strategy. At institutions such as ours, an abnormal TTE in a cryptogenic stroke patient is followed by a TEE, and this study again does not alter this approach, because only those with a normal TTE were included. The definition of a normal TTE used in the study was so narrow, including normal left ventricular systolic function, that a majority of stroke patients with vascular risk factors such as hypertension would have likely been excluded. Determining what features and quality of a TTE are so definitive that a TEE is not necessary will be an important thrust of additional research. However, because TEE shows a better view of the left atrial appendage, the aortic arch, and is probably a better shunt study compared with TTE, it is not clear if a normal TTE will ever be adequate to prevent this second more invasive study in selected patients.

At the heart of the matter for health systems is the cost‐effectiveness of any screening approach used to determine the etiology of acute ischemic stroke. Studies are underway that will likely demonstrate that long‐term monitoring for atrial fibrillation will be worth it. Although it is dubious that TEE would ever fall into the same category due to its low yield, one might imagine a scenario, as our workup for cryptogenic stroke becomes more and more complicated, where obtaining a TEE is cost‐effective simply because it gives an answer and therefore can halt further testing. Perhaps at the end of the day, a TEE will just allow us to say to our stroke patients that enough is enough.

Disclosures: Dr. Josephson receives personal compensation as Editor‐in‐Chief of the New England Journal of Medicine Journal Watch Neurology and in an editorial capacity for Continuum Audio.

References
  1. Hart RG, Diener HC, Coutts SB, et al. Embolic strokes of undetermined source: the case for a new clinical construct. Lancet Neurol. 2014;13:429438.
  2. Lin L, Yiin GS, Geraghty OC, et al. Incidence, outcome, risk factors, and long‐term prognosis of cryptogenic transient ischaemic attack and ischaemic stroke: a population‐based study. Lancet Neurol. 2015;14:903913.
  3. Bruijn SF, Agema WR, Lammers GJ, et al. Transesophageal echocardiography is superior to transthoracic echocardiography in management of patients of any age with transient ischemic attack or stroke. Stroke. 2006;37:25312534.
  4. McGrath ER, Paikin JS, Motlagh B, Salehian O, Kapral MK, O'Donnell MJ. Transesophageal echocardiography in patients with cryptogenic ischemic stroke: a systematic review. Am Heart J. 2014;168:706712.
  5. Marino B, Jaiswal A, Goldbarg S, Bernardini GL, Kerwin T. Impact of transesophageal echocardiography on clinical management of patients over age 50 with cryptogenic stroke and normal transthoracic echocardiogram. J Hosp Med. 2016;11(2):9598.
  6. Kernan WN, Ovbiagele B, Black HR, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45:21602236.
  7. Amarenco P, Davis S, Jones EF, et al. Clopidogrel plus aspirin versus warfarin in patients with stroke and aortic arch plaques. Stroke. 2014;45:12481257.
  8. Homma S, Thompson JL, Pullicino PM, et al. Warfarin and aspirin in patients with heart failure and sinus rhythm. N Engl J Med. 2012;366:18591869.
  9. Furlan AJ, Reisman M, Massaro J, et al. Closure or medical therapy for cryptogenic stroke with patent foramen ovale. N Engl J Med. 2012;366:991999.
  10. Gladstone DJ, Spring M, Dorian P, et al. Atrial fibrillation in patients with cryptogenic stroke. N Engl J Med. 2014;370:24672477.
References
  1. Hart RG, Diener HC, Coutts SB, et al. Embolic strokes of undetermined source: the case for a new clinical construct. Lancet Neurol. 2014;13:429438.
  2. Lin L, Yiin GS, Geraghty OC, et al. Incidence, outcome, risk factors, and long‐term prognosis of cryptogenic transient ischaemic attack and ischaemic stroke: a population‐based study. Lancet Neurol. 2015;14:903913.
  3. Bruijn SF, Agema WR, Lammers GJ, et al. Transesophageal echocardiography is superior to transthoracic echocardiography in management of patients of any age with transient ischemic attack or stroke. Stroke. 2006;37:25312534.
  4. McGrath ER, Paikin JS, Motlagh B, Salehian O, Kapral MK, O'Donnell MJ. Transesophageal echocardiography in patients with cryptogenic ischemic stroke: a systematic review. Am Heart J. 2014;168:706712.
  5. Marino B, Jaiswal A, Goldbarg S, Bernardini GL, Kerwin T. Impact of transesophageal echocardiography on clinical management of patients over age 50 with cryptogenic stroke and normal transthoracic echocardiogram. J Hosp Med. 2016;11(2):9598.
  6. Kernan WN, Ovbiagele B, Black HR, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45:21602236.
  7. Amarenco P, Davis S, Jones EF, et al. Clopidogrel plus aspirin versus warfarin in patients with stroke and aortic arch plaques. Stroke. 2014;45:12481257.
  8. Homma S, Thompson JL, Pullicino PM, et al. Warfarin and aspirin in patients with heart failure and sinus rhythm. N Engl J Med. 2012;366:18591869.
  9. Furlan AJ, Reisman M, Massaro J, et al. Closure or medical therapy for cryptogenic stroke with patent foramen ovale. N Engl J Med. 2012;366:991999.
  10. Gladstone DJ, Spring M, Dorian P, et al. Atrial fibrillation in patients with cryptogenic stroke. N Engl J Med. 2014;370:24672477.
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Enough is enough? The changing world of ischemic stroke workup
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Address for correspondence and reprint requests: S. Andrew Josephson, MD, Department of Neurology, Box 0114, 505 Parnassus Avenue, M‐798, San Francisco, CA 94143‐0114; Telephone: 415‐476‐9211; Fax: 415‐476‐8705; E‐mail: [email protected]
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TEE Impact on Managing Stroke Patients

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Impact of transesophageal echocardiography on clinical management of patients over age 50 with cryptogenic stroke and normal transthoracic echocardiogram

Specific transesophageal echocardiography (TEE) findings associated with stroke include cardiac thrombi (particularly left atrial appendage [LAA]), left atrial spontaneous echo contrast, interatrial septal anomalies (particularly patent foramen ovale [PFO]), and atheromatous disease of the aorta. In younger patients (aged <50 years) with stroke of uncertain etiology, TEE is often recommended because of reported higher yield than transthoracic echocardiogram (TTE), particularly in detecting PFO or atrial septal aneurysm (ASA).[1]

Aside from oral anticoagulation in patients with an intracardiac thrombus, current guidelines and scientific evidence do not support specific therapeutic interventions for the other TEE findings. For example, the most effective therapy for stroke prevention with findings of aortic arch plaque remains uncertain. In addition, the very rare patient presenting with stroke from a cardiac tumor, which is generally visible on TTE, might benefit from surgical removal.[2]

We sought to examine the benefit of performing TEE after a normal TTE in patients over age 50 years admitted with a stroke of uncertain etiology. We hypothesized that there would be minimal change in management based on TEE findings after a normal TTE in older patients hospitalized with an unexplained stroke.

METHODS

Over a 4‐year period from 2009 to 2012, all patients over the age of 50 years admitted to our community‐based teaching hospital with a primary diagnosis of ischemic stroke were identified and retrospectively screened by review of our institutional echocardiography database during this time period. Stroke diagnosis had to be confirmed with acute or subacute ischemia on brain magnetic resonance imaging. Patients with an indication for anticoagulation or who had a known history of atrial fibrillation or flutter were excluded. Patients were monitored with continuous telemetry during hospital admission and were also excluded if they developed atrial fibrillation or flutter after admission. Additionally, patients were excluded if a neurologist‐directed evaluation revealed another etiology for the stroke.

A TTE acquired in all patients was performed according to Intersocietal Commission for the Accreditation of Echocardiography Laboratories standards and included 2‐dimensional, color Doppler, continuous wave, and pulse wave data. Images were obtained in the parasternal long and short axis, apical 4‐chamber, 2‐chamber, and long axis views. An abnormal TTE was defined as a study with a prosthetic valve, abnormal left ventricular (LV) systolic function, an intracardiac mass, intracardiac shunt, or severe valvular heart disease, as these significant findings may explain stroke.

Standardized TEE images were obtained with midesophageal 4‐chamber, mitral commissural, 2‐chamber, long axis, ascending aorta long axis, aortic valve short axis, right ventricular inflow‐outflow, and bicaval views. Detailed multiplanar evaluation of the LAA was performed. If no interatrial shunt was visualized with color flow Doppler in the bicaval view, agitated intravenous saline was administered for further evaluation. Additional standard images were obtained of the descending aorta and aortic arch in the short and long axis. Transgastric images were obtained when feasible or necessary.

The study was submitted to our institutional review board. As no patient identifiers were stored, and we used previously existing data from an institutional echocardiography database to conduct the study, it was determined to be exempt.

Statistical analysis was performed by recording the prevalence of each potential cardiac source of embolism.

RESULTS

Of the 853 consecutive patients screened, 456 were excluded because of atrial fibrillation, atrial flutter, or another etiology of stroke. An additional 134 patients were excluded with an abnormal TTE or if a TEE was not performed. The remaining 263 patients were analyzed based on TEE findings (Figure 1).

Figure 1
Flowchart for identification of transesophageal echocardiography (TEE) analysis. Abbreviations: MRI, magnetic resonance imaging; TTE, transthoracic echocardiogram.

The mean age was 66.7 years (range, 5091 years), and 42.5% were female. A possible etiology of stroke (Table 1) discovered included complex plaque of the ascending aorta or arch 44/263 (16.7%), PFO 18/263 (6.8%), atrial septal aneurysm 25/263 (9.5%), and both ASA and PFO in 11/263 (4.2%), and spontaneous contrast was seen in the left atrium or LAA in 13/263 (4.9%) patients. One patient had a thrombus in the LAA for which anticoagulation was prescribed. No other intracardiac masses were identified.

Potential Cardiovascular Sources of Embolism by Transesophageal Echocardiogram in 263 Patients
Potential SourceNo. (%)
  • NOTE: *This was the only finding on transesophageal echocardiography that changed management. Anticoagulation was prescribed.

Atrial septal aneurysm25 (5.3%)
Patent foramen ovale18 (2.7%)
Atrial septal aneurysm and patent foramen ovale11 (4.2%)
Complex aortic plaque44 (16.7%)
Spontaneous contrast13 (4.9%)
Left atrial appendage thrombus*1 (0.4%)
Total112 (42.6%)

Overall, 42.6% of patients had a TEE finding which could explain the etiology of stroke or transient ischemic attack (TIA), but only 1 patient (0.4%) had a finding that changed therapy. Follow‐up was available at 6 months for 85 patients, and 13 (15%) of these patients had been discovered to develop atrial fibrillation in the interim.

DISCUSSION

Our study retrospectively analyzed the utility of TEE in patients over age 50 years admitted with ischemic stroke without a clear etiology. We found that TEE provides significant incremental diagnostic benefit as compared to TTE in identifying a possible etiology of stroke in these patients. This is consistent with prior studies showing a high diagnostic yield of TEE in patient with ischemic stroke of uncertain etiology.[3] However, in our study, based on current guidelines, virtually none of these findings directly altered patient management.

The 2014 guidelines for secondary stroke prevention recommend antiplatelet and statin therapy (in addition to lifestyle modification, smoking cessation, and blood glucose and blood pressure control) as a standard medical regimen in patients with stroke or TIA of uncertain etiology. The finding of aortic arch atheroma does not warrant supplementary treatment in addition to an antiplatelet and statin according to current guidelines. Atherosclerosis of the aortic arch is an important source of cerebral embolism, particularly in cases where plaque is >4 mm in size.[4] A recent study by Amarenco et al., comparing efficacy of combined antiplatelet therapy (clopidogrel and aspirin) to warfarin in recurrent stroke prevention in patients with >4 mm aortic arch plaque, showed nonsignificant reduction in rate of recurrent stroke with dual antiplatelet therapy.[5] However, optimal therapy for these patients still remains uncertain beyond standard stroke‐prevention treatment. Although there are emerging data on therapeutic options in patients with complex atheroma, there is currently no specific guideline‐recommended therapy or consensus among stroke neurologists. Potentially, if an individual practitioner had a strong feeling on therapeutic modifications based on the presence of complex aortic arch atheroma, the TEE would have value to their patient. However, in our study, which had a prevalence of 16.8% of complex plaque of the ascending aorta or arch, there were no therapeutic changes based on this finding. This reinforces the limited value of this test that we observed in our study population.

Anticoagulation has not been shown to be superior to aspirin in patients with PFO (with or without ASA), and recent studies showed no benefit of procedural PFO closure compared to best medical management for stroke prevention (Randomized Evaluation of Recurrent Stroke Comparing PFO Closure to Established Current Standard of Care Treatment [RESPECT], Evaluation of the STARFlex Septal Closure System in Patients with a Stroke and/or Transient Ischemic Attack due to Presumed Paradoxical Embolism through a Patent Foramen Ovale [CLOSURE I]).[6, 7] However, a patient with a PFO and deep vein thrombosis would benefit from anticoagulation and consideration of PFO closure.[8] This rare entity could be excluded with a simple lower extremity duplex without the need for a TEE, which does come with a small risk of complications related to anesthesia and local oropharyngeal trauma as well as discomfort to the patient and increased cost. Spontaneous echo contrast is not an independent indication for anticoagulation. If spontaneous contrast were associated with mitral stenosis and an embolic event, then anticoagulation would be indicated.[9] Mitral stenosis is easily diagnosed with TTE.

LAA or left atrial thrombus is the predominant finding exclusive to TEE that would change management for secondary stroke prevention, specifically anticoagulation. Fifteen studies representing over 3000 patients in a 2014 meta‐analysis reported the prevalence of left atrial or LAA thrombus in patients aged 55 years with a cryptogenic stroke to be 4%, with a range in the studies of 0% to 21.2%.[3] The wide range of prevalence of this finding is likely related to the prevalence of known atrial arrhythmias or structural heart disease in the population of patients included in the analysis. Left atrial or LAA thrombus in the absence of systolic dysfunction, severe valve disease, or known atrial fibrillation is exceedingly uncommon (0.3%).[10] It is likely that the few patients with left atrial or LAA thrombus without 1 of these conditions probably has undiagnosed paroxysmal atrial fibrillation. In previous studies that showed a high prevalence of left atrial or LAA thrombus, there was no mention of the presence or absence of LV dysfunction or severe valve disease in patients with left atrial or LAA thrombus. Additionally, these studies only required a 12‐lead electrocardiogram or did not specify the presence or duration of continuous rhythm monitoring.[11, 12, 13, 14] Several of the studies with high incidence of left atrial or LAA thrombus specifically stated that some of these patients were known to have atrial fibrillation.[11, 13]

Approximately 8% of patients admitted with stroke are found to have atrial fibrillation only after admission with continuous electrocardiogram monitoring. The detection rate is nearly half if monitoring is limited to 24 hours instead of several days. Overall, detection rates of atrial fibrillation following stroke are relatively low during initial hospitalization.[15] More intense monitoring for atrial fibrillation in patients with a stroke of uncertain etiology with the use of a subcutaneous implantable cardiac monitor increases the detection rate to 12.4% at 1 year, and increases with longer monitoring time.[16] Therefore, identification of older stroke patients without significant stroke risk factors may be candidates for longer‐term cardiac monitoring to increase yield for detection of atrial fibrillation. Currently, continuous electrocardiographic monitoring of patients for the duration of their hospitalization and up to 30 days afterward is recommended.[8]

Our study differs from prior studies that showed a much higher prevalence of LAA or left atrial thrombus in 2 important ways. Patients with severe valve disease or LV dysfunction were excluded on the basis of TTE. Additionally, our patients underwent continuous electrocardiographic monitoring for the duration of their hospitalization and were excluded with a prior history or newly discovered atrial fibrillation or flutter. Our intention was to examine the value of adding TEE when no other etiology of stroke was identified. Value can be defined as healthcare outcomes achieved per dollar spent. Our study was not designed to look at long‐term outcomes; rather, we used immediate change in patient management as a surrogate.

There are several limitations to our study that must be noted. This was a single‐center study potentially creating a bias as less stringent selection of patients undergoing TEE may be the practice at other institutions. This analysis was retrospective; therefore, there may have been bias as to which patients were selected to undergo TEE. Additionally, stroke subtype was not specified, and the pretest probability of a cardioembolic source differs based on subtype. Last, we focused this study on immediate changes in clinical management prompted by TEE results, and did not assess patient perceptions of TEE value related to enhanced knowledge about the etiology of their stroke; this area represents an opportunity for further research.

CONCLUSIONS

TEE provides a substantial increase in possible explanation of stroke etiology in patients over age 50 years admitted with a stroke of uncertain cause and a normal TTE. However, there is minimal incremental value in regard to change in therapeutic management in these patients. In a time of increased focus on providing cost effective healthcare, our findings suggest that the need for TEE in this stroke population should be more closely examined.

Disclosure: Nothing to report.

Files
References
  1. Rettig TCD, Bouma BJ, Brink RBA. Influence of transesophageal echocardiogram on therapy and prognosis in young patients with TIA or ischemic stroke. Neth Heart J. 2009;17:373377.
  2. Engberding R, Daniel WG, Erbel R, et al. Diagnosis of Heart Tumors by Transesophageal Echocardiography: a multicentre study in 154 patients. Eur Heart J. 1993;14:12231228.
  3. McGrath ER, Paikin JS, Motlagh B, Salehian O, Kapral MK, O'Donnell MJ. Transesophageal echocardiography in patients with cryptogenic ischemic stroke: a systematic review. Am Heart J. 2014;168:706712.
  4. Tunick PA, Perez JL, Kronzon I. Protruding atheromas in the thoracic aorta and systemic embolization. Ann Intern Med. 1991;115:423427.
  5. Amarenco P, Davis S, Jones EF, et al.; The Aortic Arch Related Cerebral Hazard Trial Investigators. Clopidogrel plus aspirin versus warfarin in patients with stroke and aortic arch plaques. Stroke. 2014;45:12481257.
  6. Carroll JD, Saver JL, Thaler DE, et al.; RESPECT Investigators. Closure of patent foramen ovale versus medical therapy after cryptogenic stroke. N Engl J Med. 2013;368:10921100.
  7. Furlan AJ, Reisman M, Massaro J, et al.; CLOSURE I Investigators. Closure or medical therapy for cryptogenic stroke with patent foramen ovale. N Engl J Med. 2012;366:991999.
  8. Kernan WN, Ovbiagele B, Black HR, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45(7):21602236.
  9. Nishimura RA, Otto CM, Bonow RO, et al. 2014 AHA/ACA guideline for the management of patients with valvular heart disease. J Am Coll Cardiol. 2014; 63:e57e185.
  10. Agmon Y, Khandheria BK, Gentile F, Seward JB. Clinical and echocardiographic characteristics of patients with left atrial thrombus and sinus rhythm: experience in 20 643 consecutive transesophageal echocardiographic examinations. Circulation. 2002;105(1):2731.
  11. Labovitz AJ, Camp A, Castello R, et al. Usefulness of transesophageal echocardiography in unexplained cerebral ischemia. Am J Cardiol. 1993;72:14481452.
  12. Mattioli AV, Aquilina M, Bonetti L, Oldani A, Longhini C, Mattioli G. Transesophageal echocardiography in patients with recent stroke and normal carotid arteries. Am J Cardiol. 2001;88:820823.
  13. Bruijn SF, Agema WR, Lammers GJ, et al. Transesophageal echocardiography is superior to transthoracic echocardiography in management of patients of any age with transient ischemic attack or stroke. Stroke. 2006;37:25312534.
  14. Buser PT, Zuber M, Rickenbacher P, Erne P, Jenzer H, Burckhardt D. Age‐dependent prevalence of cardioembolic sources detected by TEE: diagnostic and therapeutic implications. Echocardiography. 1997;14:597606.
  15. Rizos T, Guntner J, Jenetzky E, et al. Continuous stroke unit electrocardiographic monitoring versus 24‐hour Holter electrocardiography for detection of paroxysmal atrial fibrillation after stroke. Stroke. 2012;43:26892694.
  16. Sanna T, Diener HC, Passman RS, et al.; CRYSTAL AF Investigators. Cryptogenic stroke and underlying atrial fibrillation. N Engl J Med. 2014;370(26):24782486.
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Specific transesophageal echocardiography (TEE) findings associated with stroke include cardiac thrombi (particularly left atrial appendage [LAA]), left atrial spontaneous echo contrast, interatrial septal anomalies (particularly patent foramen ovale [PFO]), and atheromatous disease of the aorta. In younger patients (aged <50 years) with stroke of uncertain etiology, TEE is often recommended because of reported higher yield than transthoracic echocardiogram (TTE), particularly in detecting PFO or atrial septal aneurysm (ASA).[1]

Aside from oral anticoagulation in patients with an intracardiac thrombus, current guidelines and scientific evidence do not support specific therapeutic interventions for the other TEE findings. For example, the most effective therapy for stroke prevention with findings of aortic arch plaque remains uncertain. In addition, the very rare patient presenting with stroke from a cardiac tumor, which is generally visible on TTE, might benefit from surgical removal.[2]

We sought to examine the benefit of performing TEE after a normal TTE in patients over age 50 years admitted with a stroke of uncertain etiology. We hypothesized that there would be minimal change in management based on TEE findings after a normal TTE in older patients hospitalized with an unexplained stroke.

METHODS

Over a 4‐year period from 2009 to 2012, all patients over the age of 50 years admitted to our community‐based teaching hospital with a primary diagnosis of ischemic stroke were identified and retrospectively screened by review of our institutional echocardiography database during this time period. Stroke diagnosis had to be confirmed with acute or subacute ischemia on brain magnetic resonance imaging. Patients with an indication for anticoagulation or who had a known history of atrial fibrillation or flutter were excluded. Patients were monitored with continuous telemetry during hospital admission and were also excluded if they developed atrial fibrillation or flutter after admission. Additionally, patients were excluded if a neurologist‐directed evaluation revealed another etiology for the stroke.

A TTE acquired in all patients was performed according to Intersocietal Commission for the Accreditation of Echocardiography Laboratories standards and included 2‐dimensional, color Doppler, continuous wave, and pulse wave data. Images were obtained in the parasternal long and short axis, apical 4‐chamber, 2‐chamber, and long axis views. An abnormal TTE was defined as a study with a prosthetic valve, abnormal left ventricular (LV) systolic function, an intracardiac mass, intracardiac shunt, or severe valvular heart disease, as these significant findings may explain stroke.

Standardized TEE images were obtained with midesophageal 4‐chamber, mitral commissural, 2‐chamber, long axis, ascending aorta long axis, aortic valve short axis, right ventricular inflow‐outflow, and bicaval views. Detailed multiplanar evaluation of the LAA was performed. If no interatrial shunt was visualized with color flow Doppler in the bicaval view, agitated intravenous saline was administered for further evaluation. Additional standard images were obtained of the descending aorta and aortic arch in the short and long axis. Transgastric images were obtained when feasible or necessary.

The study was submitted to our institutional review board. As no patient identifiers were stored, and we used previously existing data from an institutional echocardiography database to conduct the study, it was determined to be exempt.

Statistical analysis was performed by recording the prevalence of each potential cardiac source of embolism.

RESULTS

Of the 853 consecutive patients screened, 456 were excluded because of atrial fibrillation, atrial flutter, or another etiology of stroke. An additional 134 patients were excluded with an abnormal TTE or if a TEE was not performed. The remaining 263 patients were analyzed based on TEE findings (Figure 1).

Figure 1
Flowchart for identification of transesophageal echocardiography (TEE) analysis. Abbreviations: MRI, magnetic resonance imaging; TTE, transthoracic echocardiogram.

The mean age was 66.7 years (range, 5091 years), and 42.5% were female. A possible etiology of stroke (Table 1) discovered included complex plaque of the ascending aorta or arch 44/263 (16.7%), PFO 18/263 (6.8%), atrial septal aneurysm 25/263 (9.5%), and both ASA and PFO in 11/263 (4.2%), and spontaneous contrast was seen in the left atrium or LAA in 13/263 (4.9%) patients. One patient had a thrombus in the LAA for which anticoagulation was prescribed. No other intracardiac masses were identified.

Potential Cardiovascular Sources of Embolism by Transesophageal Echocardiogram in 263 Patients
Potential SourceNo. (%)
  • NOTE: *This was the only finding on transesophageal echocardiography that changed management. Anticoagulation was prescribed.

Atrial septal aneurysm25 (5.3%)
Patent foramen ovale18 (2.7%)
Atrial septal aneurysm and patent foramen ovale11 (4.2%)
Complex aortic plaque44 (16.7%)
Spontaneous contrast13 (4.9%)
Left atrial appendage thrombus*1 (0.4%)
Total112 (42.6%)

Overall, 42.6% of patients had a TEE finding which could explain the etiology of stroke or transient ischemic attack (TIA), but only 1 patient (0.4%) had a finding that changed therapy. Follow‐up was available at 6 months for 85 patients, and 13 (15%) of these patients had been discovered to develop atrial fibrillation in the interim.

DISCUSSION

Our study retrospectively analyzed the utility of TEE in patients over age 50 years admitted with ischemic stroke without a clear etiology. We found that TEE provides significant incremental diagnostic benefit as compared to TTE in identifying a possible etiology of stroke in these patients. This is consistent with prior studies showing a high diagnostic yield of TEE in patient with ischemic stroke of uncertain etiology.[3] However, in our study, based on current guidelines, virtually none of these findings directly altered patient management.

The 2014 guidelines for secondary stroke prevention recommend antiplatelet and statin therapy (in addition to lifestyle modification, smoking cessation, and blood glucose and blood pressure control) as a standard medical regimen in patients with stroke or TIA of uncertain etiology. The finding of aortic arch atheroma does not warrant supplementary treatment in addition to an antiplatelet and statin according to current guidelines. Atherosclerosis of the aortic arch is an important source of cerebral embolism, particularly in cases where plaque is >4 mm in size.[4] A recent study by Amarenco et al., comparing efficacy of combined antiplatelet therapy (clopidogrel and aspirin) to warfarin in recurrent stroke prevention in patients with >4 mm aortic arch plaque, showed nonsignificant reduction in rate of recurrent stroke with dual antiplatelet therapy.[5] However, optimal therapy for these patients still remains uncertain beyond standard stroke‐prevention treatment. Although there are emerging data on therapeutic options in patients with complex atheroma, there is currently no specific guideline‐recommended therapy or consensus among stroke neurologists. Potentially, if an individual practitioner had a strong feeling on therapeutic modifications based on the presence of complex aortic arch atheroma, the TEE would have value to their patient. However, in our study, which had a prevalence of 16.8% of complex plaque of the ascending aorta or arch, there were no therapeutic changes based on this finding. This reinforces the limited value of this test that we observed in our study population.

Anticoagulation has not been shown to be superior to aspirin in patients with PFO (with or without ASA), and recent studies showed no benefit of procedural PFO closure compared to best medical management for stroke prevention (Randomized Evaluation of Recurrent Stroke Comparing PFO Closure to Established Current Standard of Care Treatment [RESPECT], Evaluation of the STARFlex Septal Closure System in Patients with a Stroke and/or Transient Ischemic Attack due to Presumed Paradoxical Embolism through a Patent Foramen Ovale [CLOSURE I]).[6, 7] However, a patient with a PFO and deep vein thrombosis would benefit from anticoagulation and consideration of PFO closure.[8] This rare entity could be excluded with a simple lower extremity duplex without the need for a TEE, which does come with a small risk of complications related to anesthesia and local oropharyngeal trauma as well as discomfort to the patient and increased cost. Spontaneous echo contrast is not an independent indication for anticoagulation. If spontaneous contrast were associated with mitral stenosis and an embolic event, then anticoagulation would be indicated.[9] Mitral stenosis is easily diagnosed with TTE.

LAA or left atrial thrombus is the predominant finding exclusive to TEE that would change management for secondary stroke prevention, specifically anticoagulation. Fifteen studies representing over 3000 patients in a 2014 meta‐analysis reported the prevalence of left atrial or LAA thrombus in patients aged 55 years with a cryptogenic stroke to be 4%, with a range in the studies of 0% to 21.2%.[3] The wide range of prevalence of this finding is likely related to the prevalence of known atrial arrhythmias or structural heart disease in the population of patients included in the analysis. Left atrial or LAA thrombus in the absence of systolic dysfunction, severe valve disease, or known atrial fibrillation is exceedingly uncommon (0.3%).[10] It is likely that the few patients with left atrial or LAA thrombus without 1 of these conditions probably has undiagnosed paroxysmal atrial fibrillation. In previous studies that showed a high prevalence of left atrial or LAA thrombus, there was no mention of the presence or absence of LV dysfunction or severe valve disease in patients with left atrial or LAA thrombus. Additionally, these studies only required a 12‐lead electrocardiogram or did not specify the presence or duration of continuous rhythm monitoring.[11, 12, 13, 14] Several of the studies with high incidence of left atrial or LAA thrombus specifically stated that some of these patients were known to have atrial fibrillation.[11, 13]

Approximately 8% of patients admitted with stroke are found to have atrial fibrillation only after admission with continuous electrocardiogram monitoring. The detection rate is nearly half if monitoring is limited to 24 hours instead of several days. Overall, detection rates of atrial fibrillation following stroke are relatively low during initial hospitalization.[15] More intense monitoring for atrial fibrillation in patients with a stroke of uncertain etiology with the use of a subcutaneous implantable cardiac monitor increases the detection rate to 12.4% at 1 year, and increases with longer monitoring time.[16] Therefore, identification of older stroke patients without significant stroke risk factors may be candidates for longer‐term cardiac monitoring to increase yield for detection of atrial fibrillation. Currently, continuous electrocardiographic monitoring of patients for the duration of their hospitalization and up to 30 days afterward is recommended.[8]

Our study differs from prior studies that showed a much higher prevalence of LAA or left atrial thrombus in 2 important ways. Patients with severe valve disease or LV dysfunction were excluded on the basis of TTE. Additionally, our patients underwent continuous electrocardiographic monitoring for the duration of their hospitalization and were excluded with a prior history or newly discovered atrial fibrillation or flutter. Our intention was to examine the value of adding TEE when no other etiology of stroke was identified. Value can be defined as healthcare outcomes achieved per dollar spent. Our study was not designed to look at long‐term outcomes; rather, we used immediate change in patient management as a surrogate.

There are several limitations to our study that must be noted. This was a single‐center study potentially creating a bias as less stringent selection of patients undergoing TEE may be the practice at other institutions. This analysis was retrospective; therefore, there may have been bias as to which patients were selected to undergo TEE. Additionally, stroke subtype was not specified, and the pretest probability of a cardioembolic source differs based on subtype. Last, we focused this study on immediate changes in clinical management prompted by TEE results, and did not assess patient perceptions of TEE value related to enhanced knowledge about the etiology of their stroke; this area represents an opportunity for further research.

CONCLUSIONS

TEE provides a substantial increase in possible explanation of stroke etiology in patients over age 50 years admitted with a stroke of uncertain cause and a normal TTE. However, there is minimal incremental value in regard to change in therapeutic management in these patients. In a time of increased focus on providing cost effective healthcare, our findings suggest that the need for TEE in this stroke population should be more closely examined.

Disclosure: Nothing to report.

Specific transesophageal echocardiography (TEE) findings associated with stroke include cardiac thrombi (particularly left atrial appendage [LAA]), left atrial spontaneous echo contrast, interatrial septal anomalies (particularly patent foramen ovale [PFO]), and atheromatous disease of the aorta. In younger patients (aged <50 years) with stroke of uncertain etiology, TEE is often recommended because of reported higher yield than transthoracic echocardiogram (TTE), particularly in detecting PFO or atrial septal aneurysm (ASA).[1]

Aside from oral anticoagulation in patients with an intracardiac thrombus, current guidelines and scientific evidence do not support specific therapeutic interventions for the other TEE findings. For example, the most effective therapy for stroke prevention with findings of aortic arch plaque remains uncertain. In addition, the very rare patient presenting with stroke from a cardiac tumor, which is generally visible on TTE, might benefit from surgical removal.[2]

We sought to examine the benefit of performing TEE after a normal TTE in patients over age 50 years admitted with a stroke of uncertain etiology. We hypothesized that there would be minimal change in management based on TEE findings after a normal TTE in older patients hospitalized with an unexplained stroke.

METHODS

Over a 4‐year period from 2009 to 2012, all patients over the age of 50 years admitted to our community‐based teaching hospital with a primary diagnosis of ischemic stroke were identified and retrospectively screened by review of our institutional echocardiography database during this time period. Stroke diagnosis had to be confirmed with acute or subacute ischemia on brain magnetic resonance imaging. Patients with an indication for anticoagulation or who had a known history of atrial fibrillation or flutter were excluded. Patients were monitored with continuous telemetry during hospital admission and were also excluded if they developed atrial fibrillation or flutter after admission. Additionally, patients were excluded if a neurologist‐directed evaluation revealed another etiology for the stroke.

A TTE acquired in all patients was performed according to Intersocietal Commission for the Accreditation of Echocardiography Laboratories standards and included 2‐dimensional, color Doppler, continuous wave, and pulse wave data. Images were obtained in the parasternal long and short axis, apical 4‐chamber, 2‐chamber, and long axis views. An abnormal TTE was defined as a study with a prosthetic valve, abnormal left ventricular (LV) systolic function, an intracardiac mass, intracardiac shunt, or severe valvular heart disease, as these significant findings may explain stroke.

Standardized TEE images were obtained with midesophageal 4‐chamber, mitral commissural, 2‐chamber, long axis, ascending aorta long axis, aortic valve short axis, right ventricular inflow‐outflow, and bicaval views. Detailed multiplanar evaluation of the LAA was performed. If no interatrial shunt was visualized with color flow Doppler in the bicaval view, agitated intravenous saline was administered for further evaluation. Additional standard images were obtained of the descending aorta and aortic arch in the short and long axis. Transgastric images were obtained when feasible or necessary.

The study was submitted to our institutional review board. As no patient identifiers were stored, and we used previously existing data from an institutional echocardiography database to conduct the study, it was determined to be exempt.

Statistical analysis was performed by recording the prevalence of each potential cardiac source of embolism.

RESULTS

Of the 853 consecutive patients screened, 456 were excluded because of atrial fibrillation, atrial flutter, or another etiology of stroke. An additional 134 patients were excluded with an abnormal TTE or if a TEE was not performed. The remaining 263 patients were analyzed based on TEE findings (Figure 1).

Figure 1
Flowchart for identification of transesophageal echocardiography (TEE) analysis. Abbreviations: MRI, magnetic resonance imaging; TTE, transthoracic echocardiogram.

The mean age was 66.7 years (range, 5091 years), and 42.5% were female. A possible etiology of stroke (Table 1) discovered included complex plaque of the ascending aorta or arch 44/263 (16.7%), PFO 18/263 (6.8%), atrial septal aneurysm 25/263 (9.5%), and both ASA and PFO in 11/263 (4.2%), and spontaneous contrast was seen in the left atrium or LAA in 13/263 (4.9%) patients. One patient had a thrombus in the LAA for which anticoagulation was prescribed. No other intracardiac masses were identified.

Potential Cardiovascular Sources of Embolism by Transesophageal Echocardiogram in 263 Patients
Potential SourceNo. (%)
  • NOTE: *This was the only finding on transesophageal echocardiography that changed management. Anticoagulation was prescribed.

Atrial septal aneurysm25 (5.3%)
Patent foramen ovale18 (2.7%)
Atrial septal aneurysm and patent foramen ovale11 (4.2%)
Complex aortic plaque44 (16.7%)
Spontaneous contrast13 (4.9%)
Left atrial appendage thrombus*1 (0.4%)
Total112 (42.6%)

Overall, 42.6% of patients had a TEE finding which could explain the etiology of stroke or transient ischemic attack (TIA), but only 1 patient (0.4%) had a finding that changed therapy. Follow‐up was available at 6 months for 85 patients, and 13 (15%) of these patients had been discovered to develop atrial fibrillation in the interim.

DISCUSSION

Our study retrospectively analyzed the utility of TEE in patients over age 50 years admitted with ischemic stroke without a clear etiology. We found that TEE provides significant incremental diagnostic benefit as compared to TTE in identifying a possible etiology of stroke in these patients. This is consistent with prior studies showing a high diagnostic yield of TEE in patient with ischemic stroke of uncertain etiology.[3] However, in our study, based on current guidelines, virtually none of these findings directly altered patient management.

The 2014 guidelines for secondary stroke prevention recommend antiplatelet and statin therapy (in addition to lifestyle modification, smoking cessation, and blood glucose and blood pressure control) as a standard medical regimen in patients with stroke or TIA of uncertain etiology. The finding of aortic arch atheroma does not warrant supplementary treatment in addition to an antiplatelet and statin according to current guidelines. Atherosclerosis of the aortic arch is an important source of cerebral embolism, particularly in cases where plaque is >4 mm in size.[4] A recent study by Amarenco et al., comparing efficacy of combined antiplatelet therapy (clopidogrel and aspirin) to warfarin in recurrent stroke prevention in patients with >4 mm aortic arch plaque, showed nonsignificant reduction in rate of recurrent stroke with dual antiplatelet therapy.[5] However, optimal therapy for these patients still remains uncertain beyond standard stroke‐prevention treatment. Although there are emerging data on therapeutic options in patients with complex atheroma, there is currently no specific guideline‐recommended therapy or consensus among stroke neurologists. Potentially, if an individual practitioner had a strong feeling on therapeutic modifications based on the presence of complex aortic arch atheroma, the TEE would have value to their patient. However, in our study, which had a prevalence of 16.8% of complex plaque of the ascending aorta or arch, there were no therapeutic changes based on this finding. This reinforces the limited value of this test that we observed in our study population.

Anticoagulation has not been shown to be superior to aspirin in patients with PFO (with or without ASA), and recent studies showed no benefit of procedural PFO closure compared to best medical management for stroke prevention (Randomized Evaluation of Recurrent Stroke Comparing PFO Closure to Established Current Standard of Care Treatment [RESPECT], Evaluation of the STARFlex Septal Closure System in Patients with a Stroke and/or Transient Ischemic Attack due to Presumed Paradoxical Embolism through a Patent Foramen Ovale [CLOSURE I]).[6, 7] However, a patient with a PFO and deep vein thrombosis would benefit from anticoagulation and consideration of PFO closure.[8] This rare entity could be excluded with a simple lower extremity duplex without the need for a TEE, which does come with a small risk of complications related to anesthesia and local oropharyngeal trauma as well as discomfort to the patient and increased cost. Spontaneous echo contrast is not an independent indication for anticoagulation. If spontaneous contrast were associated with mitral stenosis and an embolic event, then anticoagulation would be indicated.[9] Mitral stenosis is easily diagnosed with TTE.

LAA or left atrial thrombus is the predominant finding exclusive to TEE that would change management for secondary stroke prevention, specifically anticoagulation. Fifteen studies representing over 3000 patients in a 2014 meta‐analysis reported the prevalence of left atrial or LAA thrombus in patients aged 55 years with a cryptogenic stroke to be 4%, with a range in the studies of 0% to 21.2%.[3] The wide range of prevalence of this finding is likely related to the prevalence of known atrial arrhythmias or structural heart disease in the population of patients included in the analysis. Left atrial or LAA thrombus in the absence of systolic dysfunction, severe valve disease, or known atrial fibrillation is exceedingly uncommon (0.3%).[10] It is likely that the few patients with left atrial or LAA thrombus without 1 of these conditions probably has undiagnosed paroxysmal atrial fibrillation. In previous studies that showed a high prevalence of left atrial or LAA thrombus, there was no mention of the presence or absence of LV dysfunction or severe valve disease in patients with left atrial or LAA thrombus. Additionally, these studies only required a 12‐lead electrocardiogram or did not specify the presence or duration of continuous rhythm monitoring.[11, 12, 13, 14] Several of the studies with high incidence of left atrial or LAA thrombus specifically stated that some of these patients were known to have atrial fibrillation.[11, 13]

Approximately 8% of patients admitted with stroke are found to have atrial fibrillation only after admission with continuous electrocardiogram monitoring. The detection rate is nearly half if monitoring is limited to 24 hours instead of several days. Overall, detection rates of atrial fibrillation following stroke are relatively low during initial hospitalization.[15] More intense monitoring for atrial fibrillation in patients with a stroke of uncertain etiology with the use of a subcutaneous implantable cardiac monitor increases the detection rate to 12.4% at 1 year, and increases with longer monitoring time.[16] Therefore, identification of older stroke patients without significant stroke risk factors may be candidates for longer‐term cardiac monitoring to increase yield for detection of atrial fibrillation. Currently, continuous electrocardiographic monitoring of patients for the duration of their hospitalization and up to 30 days afterward is recommended.[8]

Our study differs from prior studies that showed a much higher prevalence of LAA or left atrial thrombus in 2 important ways. Patients with severe valve disease or LV dysfunction were excluded on the basis of TTE. Additionally, our patients underwent continuous electrocardiographic monitoring for the duration of their hospitalization and were excluded with a prior history or newly discovered atrial fibrillation or flutter. Our intention was to examine the value of adding TEE when no other etiology of stroke was identified. Value can be defined as healthcare outcomes achieved per dollar spent. Our study was not designed to look at long‐term outcomes; rather, we used immediate change in patient management as a surrogate.

There are several limitations to our study that must be noted. This was a single‐center study potentially creating a bias as less stringent selection of patients undergoing TEE may be the practice at other institutions. This analysis was retrospective; therefore, there may have been bias as to which patients were selected to undergo TEE. Additionally, stroke subtype was not specified, and the pretest probability of a cardioembolic source differs based on subtype. Last, we focused this study on immediate changes in clinical management prompted by TEE results, and did not assess patient perceptions of TEE value related to enhanced knowledge about the etiology of their stroke; this area represents an opportunity for further research.

CONCLUSIONS

TEE provides a substantial increase in possible explanation of stroke etiology in patients over age 50 years admitted with a stroke of uncertain cause and a normal TTE. However, there is minimal incremental value in regard to change in therapeutic management in these patients. In a time of increased focus on providing cost effective healthcare, our findings suggest that the need for TEE in this stroke population should be more closely examined.

Disclosure: Nothing to report.

References
  1. Rettig TCD, Bouma BJ, Brink RBA. Influence of transesophageal echocardiogram on therapy and prognosis in young patients with TIA or ischemic stroke. Neth Heart J. 2009;17:373377.
  2. Engberding R, Daniel WG, Erbel R, et al. Diagnosis of Heart Tumors by Transesophageal Echocardiography: a multicentre study in 154 patients. Eur Heart J. 1993;14:12231228.
  3. McGrath ER, Paikin JS, Motlagh B, Salehian O, Kapral MK, O'Donnell MJ. Transesophageal echocardiography in patients with cryptogenic ischemic stroke: a systematic review. Am Heart J. 2014;168:706712.
  4. Tunick PA, Perez JL, Kronzon I. Protruding atheromas in the thoracic aorta and systemic embolization. Ann Intern Med. 1991;115:423427.
  5. Amarenco P, Davis S, Jones EF, et al.; The Aortic Arch Related Cerebral Hazard Trial Investigators. Clopidogrel plus aspirin versus warfarin in patients with stroke and aortic arch plaques. Stroke. 2014;45:12481257.
  6. Carroll JD, Saver JL, Thaler DE, et al.; RESPECT Investigators. Closure of patent foramen ovale versus medical therapy after cryptogenic stroke. N Engl J Med. 2013;368:10921100.
  7. Furlan AJ, Reisman M, Massaro J, et al.; CLOSURE I Investigators. Closure or medical therapy for cryptogenic stroke with patent foramen ovale. N Engl J Med. 2012;366:991999.
  8. Kernan WN, Ovbiagele B, Black HR, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45(7):21602236.
  9. Nishimura RA, Otto CM, Bonow RO, et al. 2014 AHA/ACA guideline for the management of patients with valvular heart disease. J Am Coll Cardiol. 2014; 63:e57e185.
  10. Agmon Y, Khandheria BK, Gentile F, Seward JB. Clinical and echocardiographic characteristics of patients with left atrial thrombus and sinus rhythm: experience in 20 643 consecutive transesophageal echocardiographic examinations. Circulation. 2002;105(1):2731.
  11. Labovitz AJ, Camp A, Castello R, et al. Usefulness of transesophageal echocardiography in unexplained cerebral ischemia. Am J Cardiol. 1993;72:14481452.
  12. Mattioli AV, Aquilina M, Bonetti L, Oldani A, Longhini C, Mattioli G. Transesophageal echocardiography in patients with recent stroke and normal carotid arteries. Am J Cardiol. 2001;88:820823.
  13. Bruijn SF, Agema WR, Lammers GJ, et al. Transesophageal echocardiography is superior to transthoracic echocardiography in management of patients of any age with transient ischemic attack or stroke. Stroke. 2006;37:25312534.
  14. Buser PT, Zuber M, Rickenbacher P, Erne P, Jenzer H, Burckhardt D. Age‐dependent prevalence of cardioembolic sources detected by TEE: diagnostic and therapeutic implications. Echocardiography. 1997;14:597606.
  15. Rizos T, Guntner J, Jenetzky E, et al. Continuous stroke unit electrocardiographic monitoring versus 24‐hour Holter electrocardiography for detection of paroxysmal atrial fibrillation after stroke. Stroke. 2012;43:26892694.
  16. Sanna T, Diener HC, Passman RS, et al.; CRYSTAL AF Investigators. Cryptogenic stroke and underlying atrial fibrillation. N Engl J Med. 2014;370(26):24782486.
References
  1. Rettig TCD, Bouma BJ, Brink RBA. Influence of transesophageal echocardiogram on therapy and prognosis in young patients with TIA or ischemic stroke. Neth Heart J. 2009;17:373377.
  2. Engberding R, Daniel WG, Erbel R, et al. Diagnosis of Heart Tumors by Transesophageal Echocardiography: a multicentre study in 154 patients. Eur Heart J. 1993;14:12231228.
  3. McGrath ER, Paikin JS, Motlagh B, Salehian O, Kapral MK, O'Donnell MJ. Transesophageal echocardiography in patients with cryptogenic ischemic stroke: a systematic review. Am Heart J. 2014;168:706712.
  4. Tunick PA, Perez JL, Kronzon I. Protruding atheromas in the thoracic aorta and systemic embolization. Ann Intern Med. 1991;115:423427.
  5. Amarenco P, Davis S, Jones EF, et al.; The Aortic Arch Related Cerebral Hazard Trial Investigators. Clopidogrel plus aspirin versus warfarin in patients with stroke and aortic arch plaques. Stroke. 2014;45:12481257.
  6. Carroll JD, Saver JL, Thaler DE, et al.; RESPECT Investigators. Closure of patent foramen ovale versus medical therapy after cryptogenic stroke. N Engl J Med. 2013;368:10921100.
  7. Furlan AJ, Reisman M, Massaro J, et al.; CLOSURE I Investigators. Closure or medical therapy for cryptogenic stroke with patent foramen ovale. N Engl J Med. 2012;366:991999.
  8. Kernan WN, Ovbiagele B, Black HR, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45(7):21602236.
  9. Nishimura RA, Otto CM, Bonow RO, et al. 2014 AHA/ACA guideline for the management of patients with valvular heart disease. J Am Coll Cardiol. 2014; 63:e57e185.
  10. Agmon Y, Khandheria BK, Gentile F, Seward JB. Clinical and echocardiographic characteristics of patients with left atrial thrombus and sinus rhythm: experience in 20 643 consecutive transesophageal echocardiographic examinations. Circulation. 2002;105(1):2731.
  11. Labovitz AJ, Camp A, Castello R, et al. Usefulness of transesophageal echocardiography in unexplained cerebral ischemia. Am J Cardiol. 1993;72:14481452.
  12. Mattioli AV, Aquilina M, Bonetti L, Oldani A, Longhini C, Mattioli G. Transesophageal echocardiography in patients with recent stroke and normal carotid arteries. Am J Cardiol. 2001;88:820823.
  13. Bruijn SF, Agema WR, Lammers GJ, et al. Transesophageal echocardiography is superior to transthoracic echocardiography in management of patients of any age with transient ischemic attack or stroke. Stroke. 2006;37:25312534.
  14. Buser PT, Zuber M, Rickenbacher P, Erne P, Jenzer H, Burckhardt D. Age‐dependent prevalence of cardioembolic sources detected by TEE: diagnostic and therapeutic implications. Echocardiography. 1997;14:597606.
  15. Rizos T, Guntner J, Jenetzky E, et al. Continuous stroke unit electrocardiographic monitoring versus 24‐hour Holter electrocardiography for detection of paroxysmal atrial fibrillation after stroke. Stroke. 2012;43:26892694.
  16. Sanna T, Diener HC, Passman RS, et al.; CRYSTAL AF Investigators. Cryptogenic stroke and underlying atrial fibrillation. N Engl J Med. 2014;370(26):24782486.
Issue
Journal of Hospital Medicine - 11(2)
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Journal of Hospital Medicine - 11(2)
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95-98
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95-98
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Impact of transesophageal echocardiography on clinical management of patients over age 50 with cryptogenic stroke and normal transthoracic echocardiogram
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Impact of transesophageal echocardiography on clinical management of patients over age 50 with cryptogenic stroke and normal transthoracic echocardiogram
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Address for correspondence and reprint requests: Todd Kerwin, MD, New York Hospital Queens, WA 200, Division of Cardiology, 56‐45 Main Street, Flushing, NY 11355; Telephone: 718‐670‐1130; Fax: 718‐661‐7708; E‐mail: [email protected]
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