Socioeconomic Status as a Predictor of Mortality in Patients Admitted with Atrial Fibrillation
Abstract Lower socioeconomic status (SES) is associated with a higher risk of cardiovascular disease. However, the association between SES and mortality in patients with atrial fibrillation (AF) is not clear. We examined whether SES predicts all-cause mortality in patients hospitalized with AF. This...
Gespeichert in:
| Veröffentlicht in: | The American journal of cardiology 2017-05, Vol.119 (9), p.1378-1381 |
|---|---|
| Hauptverfasser: | , , , , , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1381 |
|---|---|
| container_issue | 9 |
| container_start_page | 1378 |
| container_title | The American journal of cardiology |
| container_volume | 119 |
| creator | Kargoli, Faraj, MD, MPH Shulman, Eric, MD Aagaard, Philip, MD, PhD Briceno, David F., MD Hoch, Ethan, MD Di Biase, Luigi, MD, PhD Fisher, John D., MD Gross, Jay, MD Kim, Soo G., MD Krumerman, Andrew, MD Ferrick, Kevin J., MD |
| description | Abstract Lower socioeconomic status (SES) is associated with a higher risk of cardiovascular disease. However, the association between SES and mortality in patients with atrial fibrillation (AF) is not clear. We examined whether SES predicts all-cause mortality in patients hospitalized with AF. This is a retrospective study of patients aged >18 years, admitted with a primary diagnosis of AF to Montefiore Medical Center between 2000 and 2010. Multivariable logistic regression models were used to determine predictors of survival adjusted for age, gender, heart failure, diabetes mellitus, chronic kidney disease, prior myocardial infraction, chronic obstructive pulmonary disease, hypertension, peripheral vascular disease, and SES. SES was determined using the New York City Department of Health Standardized Score (a log composite score of household income, value of housing units, net rental income, household occupations, and educational level). The cohort was divided into quartiles based on SES-score, with Q4 the highest and Q1 the lowest SES score. There were 4,503 patients identified with a mean follow up of 4.5 years in the following SES quartiles: Q1 (n= 1,132), Q2 (n= 1,119), Q3 (n= 1,126), and Q4 (n= 1,126). The unadjusted mortality varied across quartiles (Q1-Q4), 54%, 58%, 56%, and 59%, respectively (p= 0.004). After controlling for other variables in the multivariable analysis, patients with the lowest SES (Q1) had a significantly higher mortality than patients in the quartile with the highest (Q4) SES, (OR 1.3, CI: 1.1-1.5). In conclusion, patients admitted to the hospital with AF have varying mortality based on their socioeconomic status. After controlling for comorbidities, patients with AF and lower SES scores had higher mortality. Further research studies are warranted to study this risk of increased mortality in AF population. |
| doi_str_mv | 10.1016/j.amjcard.2017.01.041 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1887051114</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0002914917301406</els_id><sourcerecordid>1888124796</sourcerecordid><originalsourceid>FETCH-LOGICAL-c448t-69ef0df391943e59db1c777d1709f239dbbba1dd03a2e176f52e4ccb4c0dbc353</originalsourceid><addsrcrecordid>eNqFkl2L1DAUhoMo7rj6E5SAN3vTmtOmTXOjDIvrLqy4MHprSJNTzNg2a5Iq8-9NmVFhb4RAOJznfOR9Q8hLYCUwaN_sSz3tjQ62rBiIkkHJODwiG-iELEBC_ZhsGGNVIYHLM_Isxn0OAZr2KTmrOr7mxIZ83XnjPBo_-8kZuks6LZHqfOhdQOtM8oH6gX70IenRpQN1M73TyeGcIt3ayaWElv5y6RvdpuD0SK9cH9w4ZsbPz8mTQY8RX5zuc_Ll6v3ny-vi9tOHm8vtbWE471LRShyYHWoJktfYSNuDEUJYEEwOVZ3jvtdgLat1hSDaoamQG9Nzw2xv6qY-JxfHvvfB_1gwJjW5aDBvMaNfooKuE6wBAJ7R1w_QvV_CnLdbqQ4qLmSbqeZImeBjDDio--AmHQ4KmFoNUHt1MkCtBigGKhuQ616dui_9hPZv1R_FM_DuCGCW46fDoKLJYpqsdUCTlPXuvyPePuhgRjc7o8fveMD47zUqVoqp3Tp3_QQgagactfVvtFCuQQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1888124796</pqid></control><display><type>article</type><title>Socioeconomic Status as a Predictor of Mortality in Patients Admitted with Atrial Fibrillation</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals</source><creator>Kargoli, Faraj, MD, MPH ; Shulman, Eric, MD ; Aagaard, Philip, MD, PhD ; Briceno, David F., MD ; Hoch, Ethan, MD ; Di Biase, Luigi, MD, PhD ; Fisher, John D., MD ; Gross, Jay, MD ; Kim, Soo G., MD ; Krumerman, Andrew, MD ; Ferrick, Kevin J., MD</creator><creatorcontrib>Kargoli, Faraj, MD, MPH ; Shulman, Eric, MD ; Aagaard, Philip, MD, PhD ; Briceno, David F., MD ; Hoch, Ethan, MD ; Di Biase, Luigi, MD, PhD ; Fisher, John D., MD ; Gross, Jay, MD ; Kim, Soo G., MD ; Krumerman, Andrew, MD ; Ferrick, Kevin J., MD</creatorcontrib><description>Abstract Lower socioeconomic status (SES) is associated with a higher risk of cardiovascular disease. However, the association between SES and mortality in patients with atrial fibrillation (AF) is not clear. We examined whether SES predicts all-cause mortality in patients hospitalized with AF. This is a retrospective study of patients aged >18 years, admitted with a primary diagnosis of AF to Montefiore Medical Center between 2000 and 2010. Multivariable logistic regression models were used to determine predictors of survival adjusted for age, gender, heart failure, diabetes mellitus, chronic kidney disease, prior myocardial infraction, chronic obstructive pulmonary disease, hypertension, peripheral vascular disease, and SES. SES was determined using the New York City Department of Health Standardized Score (a log composite score of household income, value of housing units, net rental income, household occupations, and educational level). The cohort was divided into quartiles based on SES-score, with Q4 the highest and Q1 the lowest SES score. There were 4,503 patients identified with a mean follow up of 4.5 years in the following SES quartiles: Q1 (n= 1,132), Q2 (n= 1,119), Q3 (n= 1,126), and Q4 (n= 1,126). The unadjusted mortality varied across quartiles (Q1-Q4), 54%, 58%, 56%, and 59%, respectively (p= 0.004). After controlling for other variables in the multivariable analysis, patients with the lowest SES (Q1) had a significantly higher mortality than patients in the quartile with the highest (Q4) SES, (OR 1.3, CI: 1.1-1.5). In conclusion, patients admitted to the hospital with AF have varying mortality based on their socioeconomic status. After controlling for comorbidities, patients with AF and lower SES scores had higher mortality. Further research studies are warranted to study this risk of increased mortality in AF population.</description><identifier>ISSN: 0002-9149</identifier><identifier>EISSN: 1879-1913</identifier><identifier>DOI: 10.1016/j.amjcard.2017.01.041</identifier><identifier>PMID: 28400027</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Accidents ; Adults ; Age ; Aged ; Aged, 80 and over ; Arrhythmia ; Arteriosclerosis ; Atherosclerosis ; Atrial Fibrillation - epidemiology ; Atrial Fibrillation - mortality ; Cardiac arrhythmia ; Cardiovascular ; Cardiovascular disease ; Cardiovascular diseases ; Cause of Death ; Cerebral infarction ; Chronic obstructive pulmonary disease ; Coronary artery ; Coronary artery disease ; Death ; Diabetes mellitus ; Diabetes Mellitus - epidemiology ; Diagnosis ; Educational Status ; Electronic medical records ; Exploration ; Fibrillation ; Flutter ; Geriatrics ; Health risk assessment ; Health risks ; Heart ; Heart diseases ; Heart Failure - epidemiology ; Hospitalization ; Humans ; Hypertension ; Hypertension - epidemiology ; Incidence ; Income ; Income - statistics & numerical data ; Kidney transplantation ; Logistic Models ; Lung diseases ; Markers ; Middle Aged ; Minority & ethnic groups ; Mortality ; Multivariate Analysis ; Myocardial infarction ; Myocardial Infarction - epidemiology ; New York City - epidemiology ; Occupations - statistics & numerical data ; Odds Ratio ; Peripheral Vascular Diseases - epidemiology ; Public health ; Pulmonary Disease, Chronic Obstructive - epidemiology ; Regression analysis ; Renal Insufficiency, Chronic - epidemiology ; Retrospective Studies ; Risk ; Social Class ; Social environment ; Socioeconomic factors ; Socioeconomic status ; Socioeconomics ; Statistical analysis ; Statistical tests ; Statistics ; Strata ; Stroke ; Survival ; Variance analysis ; Vascular diseases</subject><ispartof>The American journal of cardiology, 2017-05, Vol.119 (9), p.1378-1381</ispartof><rights>Elsevier Inc.</rights><rights>2017 Elsevier Inc.</rights><rights>Copyright © 2017 Elsevier Inc. All rights reserved.</rights><rights>Copyright Elsevier Limited May 1, 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-69ef0df391943e59db1c777d1709f239dbbba1dd03a2e176f52e4ccb4c0dbc353</citedby><cites>FETCH-LOGICAL-c448t-69ef0df391943e59db1c777d1709f239dbbba1dd03a2e176f52e4ccb4c0dbc353</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0002914917301406$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28400027$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kargoli, Faraj, MD, MPH</creatorcontrib><creatorcontrib>Shulman, Eric, MD</creatorcontrib><creatorcontrib>Aagaard, Philip, MD, PhD</creatorcontrib><creatorcontrib>Briceno, David F., MD</creatorcontrib><creatorcontrib>Hoch, Ethan, MD</creatorcontrib><creatorcontrib>Di Biase, Luigi, MD, PhD</creatorcontrib><creatorcontrib>Fisher, John D., MD</creatorcontrib><creatorcontrib>Gross, Jay, MD</creatorcontrib><creatorcontrib>Kim, Soo G., MD</creatorcontrib><creatorcontrib>Krumerman, Andrew, MD</creatorcontrib><creatorcontrib>Ferrick, Kevin J., MD</creatorcontrib><title>Socioeconomic Status as a Predictor of Mortality in Patients Admitted with Atrial Fibrillation</title><title>The American journal of cardiology</title><addtitle>Am J Cardiol</addtitle><description>Abstract Lower socioeconomic status (SES) is associated with a higher risk of cardiovascular disease. However, the association between SES and mortality in patients with atrial fibrillation (AF) is not clear. We examined whether SES predicts all-cause mortality in patients hospitalized with AF. This is a retrospective study of patients aged >18 years, admitted with a primary diagnosis of AF to Montefiore Medical Center between 2000 and 2010. Multivariable logistic regression models were used to determine predictors of survival adjusted for age, gender, heart failure, diabetes mellitus, chronic kidney disease, prior myocardial infraction, chronic obstructive pulmonary disease, hypertension, peripheral vascular disease, and SES. SES was determined using the New York City Department of Health Standardized Score (a log composite score of household income, value of housing units, net rental income, household occupations, and educational level). The cohort was divided into quartiles based on SES-score, with Q4 the highest and Q1 the lowest SES score. There were 4,503 patients identified with a mean follow up of 4.5 years in the following SES quartiles: Q1 (n= 1,132), Q2 (n= 1,119), Q3 (n= 1,126), and Q4 (n= 1,126). The unadjusted mortality varied across quartiles (Q1-Q4), 54%, 58%, 56%, and 59%, respectively (p= 0.004). After controlling for other variables in the multivariable analysis, patients with the lowest SES (Q1) had a significantly higher mortality than patients in the quartile with the highest (Q4) SES, (OR 1.3, CI: 1.1-1.5). In conclusion, patients admitted to the hospital with AF have varying mortality based on their socioeconomic status. After controlling for comorbidities, patients with AF and lower SES scores had higher mortality. Further research studies are warranted to study this risk of increased mortality in AF population.</description><subject>Accidents</subject><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Arrhythmia</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Atrial Fibrillation - epidemiology</subject><subject>Atrial Fibrillation - mortality</subject><subject>Cardiac arrhythmia</subject><subject>Cardiovascular</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cause of Death</subject><subject>Cerebral infarction</subject><subject>Chronic obstructive pulmonary disease</subject><subject>Coronary artery</subject><subject>Coronary artery disease</subject><subject>Death</subject><subject>Diabetes mellitus</subject><subject>Diabetes Mellitus - epidemiology</subject><subject>Diagnosis</subject><subject>Educational Status</subject><subject>Electronic medical records</subject><subject>Exploration</subject><subject>Fibrillation</subject><subject>Flutter</subject><subject>Geriatrics</subject><subject>Health risk assessment</subject><subject>Health risks</subject><subject>Heart</subject><subject>Heart diseases</subject><subject>Heart Failure - epidemiology</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Hypertension - epidemiology</subject><subject>Incidence</subject><subject>Income</subject><subject>Income - statistics & numerical data</subject><subject>Kidney transplantation</subject><subject>Logistic Models</subject><subject>Lung diseases</subject><subject>Markers</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Mortality</subject><subject>Multivariate Analysis</subject><subject>Myocardial infarction</subject><subject>Myocardial Infarction - epidemiology</subject><subject>New York City - epidemiology</subject><subject>Occupations - statistics & numerical data</subject><subject>Odds Ratio</subject><subject>Peripheral Vascular Diseases - epidemiology</subject><subject>Public health</subject><subject>Pulmonary Disease, Chronic Obstructive - epidemiology</subject><subject>Regression analysis</subject><subject>Renal Insufficiency, Chronic - epidemiology</subject><subject>Retrospective Studies</subject><subject>Risk</subject><subject>Social Class</subject><subject>Social environment</subject><subject>Socioeconomic factors</subject><subject>Socioeconomic status</subject><subject>Socioeconomics</subject><subject>Statistical analysis</subject><subject>Statistical tests</subject><subject>Statistics</subject><subject>Strata</subject><subject>Stroke</subject><subject>Survival</subject><subject>Variance analysis</subject><subject>Vascular diseases</subject><issn>0002-9149</issn><issn>1879-1913</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqFkl2L1DAUhoMo7rj6E5SAN3vTmtOmTXOjDIvrLqy4MHprSJNTzNg2a5Iq8-9NmVFhb4RAOJznfOR9Q8hLYCUwaN_sSz3tjQ62rBiIkkHJODwiG-iELEBC_ZhsGGNVIYHLM_Isxn0OAZr2KTmrOr7mxIZ83XnjPBo_-8kZuks6LZHqfOhdQOtM8oH6gX70IenRpQN1M73TyeGcIt3ayaWElv5y6RvdpuD0SK9cH9w4ZsbPz8mTQY8RX5zuc_Ll6v3ny-vi9tOHm8vtbWE471LRShyYHWoJktfYSNuDEUJYEEwOVZ3jvtdgLat1hSDaoamQG9Nzw2xv6qY-JxfHvvfB_1gwJjW5aDBvMaNfooKuE6wBAJ7R1w_QvV_CnLdbqQ4qLmSbqeZImeBjDDio--AmHQ4KmFoNUHt1MkCtBigGKhuQ616dui_9hPZv1R_FM_DuCGCW46fDoKLJYpqsdUCTlPXuvyPePuhgRjc7o8fveMD47zUqVoqp3Tp3_QQgagactfVvtFCuQQ</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Kargoli, Faraj, MD, MPH</creator><creator>Shulman, Eric, MD</creator><creator>Aagaard, Philip, MD, PhD</creator><creator>Briceno, David F., MD</creator><creator>Hoch, Ethan, MD</creator><creator>Di Biase, Luigi, MD, PhD</creator><creator>Fisher, John D., MD</creator><creator>Gross, Jay, MD</creator><creator>Kim, Soo G., MD</creator><creator>Krumerman, Andrew, MD</creator><creator>Ferrick, Kevin J., MD</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7TS</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7Z</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20170501</creationdate><title>Socioeconomic Status as a Predictor of Mortality in Patients Admitted with Atrial Fibrillation</title><author>Kargoli, Faraj, MD, MPH ; Shulman, Eric, MD ; Aagaard, Philip, MD, PhD ; Briceno, David F., MD ; Hoch, Ethan, MD ; Di Biase, Luigi, MD, PhD ; Fisher, John D., MD ; Gross, Jay, MD ; Kim, Soo G., MD ; Krumerman, Andrew, MD ; Ferrick, Kevin J., MD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c448t-69ef0df391943e59db1c777d1709f239dbbba1dd03a2e176f52e4ccb4c0dbc353</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Accidents</topic><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Arrhythmia</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Atrial Fibrillation - epidemiology</topic><topic>Atrial Fibrillation - mortality</topic><topic>Cardiac arrhythmia</topic><topic>Cardiovascular</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cause of Death</topic><topic>Cerebral infarction</topic><topic>Chronic obstructive pulmonary disease</topic><topic>Coronary artery</topic><topic>Coronary artery disease</topic><topic>Death</topic><topic>Diabetes mellitus</topic><topic>Diabetes Mellitus - epidemiology</topic><topic>Diagnosis</topic><topic>Educational Status</topic><topic>Electronic medical records</topic><topic>Exploration</topic><topic>Fibrillation</topic><topic>Flutter</topic><topic>Geriatrics</topic><topic>Health risk assessment</topic><topic>Health risks</topic><topic>Heart</topic><topic>Heart diseases</topic><topic>Heart Failure - epidemiology</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Hypertension - epidemiology</topic><topic>Incidence</topic><topic>Income</topic><topic>Income - statistics & numerical data</topic><topic>Kidney transplantation</topic><topic>Logistic Models</topic><topic>Lung diseases</topic><topic>Markers</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Mortality</topic><topic>Multivariate Analysis</topic><topic>Myocardial infarction</topic><topic>Myocardial Infarction - epidemiology</topic><topic>New York City - epidemiology</topic><topic>Occupations - statistics & numerical data</topic><topic>Odds Ratio</topic><topic>Peripheral Vascular Diseases - epidemiology</topic><topic>Public health</topic><topic>Pulmonary Disease, Chronic Obstructive - epidemiology</topic><topic>Regression analysis</topic><topic>Renal Insufficiency, Chronic - epidemiology</topic><topic>Retrospective Studies</topic><topic>Risk</topic><topic>Social Class</topic><topic>Social environment</topic><topic>Socioeconomic factors</topic><topic>Socioeconomic status</topic><topic>Socioeconomics</topic><topic>Statistical analysis</topic><topic>Statistical tests</topic><topic>Statistics</topic><topic>Strata</topic><topic>Stroke</topic><topic>Survival</topic><topic>Variance analysis</topic><topic>Vascular diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kargoli, Faraj, MD, MPH</creatorcontrib><creatorcontrib>Shulman, Eric, MD</creatorcontrib><creatorcontrib>Aagaard, Philip, MD, PhD</creatorcontrib><creatorcontrib>Briceno, David F., MD</creatorcontrib><creatorcontrib>Hoch, Ethan, MD</creatorcontrib><creatorcontrib>Di Biase, Luigi, MD, PhD</creatorcontrib><creatorcontrib>Fisher, John D., MD</creatorcontrib><creatorcontrib>Gross, Jay, MD</creatorcontrib><creatorcontrib>Kim, Soo G., MD</creatorcontrib><creatorcontrib>Krumerman, Andrew, MD</creatorcontrib><creatorcontrib>Ferrick, Kevin J., MD</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Physical Education Index</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biochemistry Abstracts 1</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>The American journal of cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kargoli, Faraj, MD, MPH</au><au>Shulman, Eric, MD</au><au>Aagaard, Philip, MD, PhD</au><au>Briceno, David F., MD</au><au>Hoch, Ethan, MD</au><au>Di Biase, Luigi, MD, PhD</au><au>Fisher, John D., MD</au><au>Gross, Jay, MD</au><au>Kim, Soo G., MD</au><au>Krumerman, Andrew, MD</au><au>Ferrick, Kevin J., MD</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Socioeconomic Status as a Predictor of Mortality in Patients Admitted with Atrial Fibrillation</atitle><jtitle>The American journal of cardiology</jtitle><addtitle>Am J Cardiol</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>119</volume><issue>9</issue><spage>1378</spage><epage>1381</epage><pages>1378-1381</pages><issn>0002-9149</issn><eissn>1879-1913</eissn><abstract>Abstract Lower socioeconomic status (SES) is associated with a higher risk of cardiovascular disease. However, the association between SES and mortality in patients with atrial fibrillation (AF) is not clear. We examined whether SES predicts all-cause mortality in patients hospitalized with AF. This is a retrospective study of patients aged >18 years, admitted with a primary diagnosis of AF to Montefiore Medical Center between 2000 and 2010. Multivariable logistic regression models were used to determine predictors of survival adjusted for age, gender, heart failure, diabetes mellitus, chronic kidney disease, prior myocardial infraction, chronic obstructive pulmonary disease, hypertension, peripheral vascular disease, and SES. SES was determined using the New York City Department of Health Standardized Score (a log composite score of household income, value of housing units, net rental income, household occupations, and educational level). The cohort was divided into quartiles based on SES-score, with Q4 the highest and Q1 the lowest SES score. There were 4,503 patients identified with a mean follow up of 4.5 years in the following SES quartiles: Q1 (n= 1,132), Q2 (n= 1,119), Q3 (n= 1,126), and Q4 (n= 1,126). The unadjusted mortality varied across quartiles (Q1-Q4), 54%, 58%, 56%, and 59%, respectively (p= 0.004). After controlling for other variables in the multivariable analysis, patients with the lowest SES (Q1) had a significantly higher mortality than patients in the quartile with the highest (Q4) SES, (OR 1.3, CI: 1.1-1.5). In conclusion, patients admitted to the hospital with AF have varying mortality based on their socioeconomic status. After controlling for comorbidities, patients with AF and lower SES scores had higher mortality. Further research studies are warranted to study this risk of increased mortality in AF population.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>28400027</pmid><doi>10.1016/j.amjcard.2017.01.041</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0002-9149 |
| ispartof | The American journal of cardiology, 2017-05, Vol.119 (9), p.1378-1381 |
| issn | 0002-9149 1879-1913 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1887051114 |
| source | MEDLINE; Elsevier ScienceDirect Journals |
| subjects | Accidents Adults Age Aged Aged, 80 and over Arrhythmia Arteriosclerosis Atherosclerosis Atrial Fibrillation - epidemiology Atrial Fibrillation - mortality Cardiac arrhythmia Cardiovascular Cardiovascular disease Cardiovascular diseases Cause of Death Cerebral infarction Chronic obstructive pulmonary disease Coronary artery Coronary artery disease Death Diabetes mellitus Diabetes Mellitus - epidemiology Diagnosis Educational Status Electronic medical records Exploration Fibrillation Flutter Geriatrics Health risk assessment Health risks Heart Heart diseases Heart Failure - epidemiology Hospitalization Humans Hypertension Hypertension - epidemiology Incidence Income Income - statistics & numerical data Kidney transplantation Logistic Models Lung diseases Markers Middle Aged Minority & ethnic groups Mortality Multivariate Analysis Myocardial infarction Myocardial Infarction - epidemiology New York City - epidemiology Occupations - statistics & numerical data Odds Ratio Peripheral Vascular Diseases - epidemiology Public health Pulmonary Disease, Chronic Obstructive - epidemiology Regression analysis Renal Insufficiency, Chronic - epidemiology Retrospective Studies Risk Social Class Social environment Socioeconomic factors Socioeconomic status Socioeconomics Statistical analysis Statistical tests Statistics Strata Stroke Survival Variance analysis Vascular diseases |
| title | Socioeconomic Status as a Predictor of Mortality in Patients Admitted with Atrial Fibrillation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-06T05%3A27%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Socioeconomic%20Status%20as%20a%20Predictor%20of%20Mortality%20in%20Patients%20Admitted%20with%20Atrial%20Fibrillation&rft.jtitle=The%20American%20journal%20of%20cardiology&rft.au=Kargoli,%20Faraj,%20MD,%20MPH&rft.date=2017-05-01&rft.volume=119&rft.issue=9&rft.spage=1378&rft.epage=1381&rft.pages=1378-1381&rft.issn=0002-9149&rft.eissn=1879-1913&rft_id=info:doi/10.1016/j.amjcard.2017.01.041&rft_dat=%3Cproquest_cross%3E1888124796%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1888124796&rft_id=info:pmid/28400027&rft_els_id=S0002914917301406&rfr_iscdi=true |