Literature DB >> 28400027

Socioeconomic Status as a Predictor of Mortality in Patients Admitted With Atrial Fibrillation.

Faraj Kargoli1, Eric Shulman1, Philip Aagaard2, David F Briceno1, Ethan Hoch1, Luigi Di Biase3, John D Fisher1, Jay Gross1, Soo G Kim1, Andrew Krumerman1, Kevin J Ferrick4.   

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, previous 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 to 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 (odds ratio 1.3, CI 1.1 to 1.5). In conclusion, patients admitted to the hospital with AF have varying mortality based on their SES. After controlling for co-morbidities, 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.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28400027     DOI: 10.1016/j.amjcard.2017.01.041

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  10 in total

1.  Association of Neighborhood Disadvantage and Anticoagulation for Patients with Atrial Fibrillation in the Veterans Health Administration: the REACH-AF Study.

Authors:  Annie McDermott; Nadejda Kim; Leslie R M Hausmann; Jared W Magnani; Chester B Good; Terrence M A Litam; Maria K Mor; Toluwa D Omole; Walid F Gellad; Michael J Fine; Utibe R Essien
Journal:  J Gen Intern Med       Date:  2022-09-23       Impact factor: 6.473

Review 2.  Social and environmental risks as contributors to the clinical course of heart failure.

Authors:  Koichi Narita; Eisuke Amiya
Journal:  Heart Fail Rev       Date:  2021-05-04       Impact factor: 4.654

3.  Association of income and health-related quality of life in atrial fibrillation.

Authors:  Emily Guhl; Andrew Althouse; Michael Sharbaugh; Alexandra M Pusateri; Michael Paasche-Orlow; Jared W Magnani
Journal:  Open Heart       Date:  2019-04-11

4.  Geographical variation and clustering are found in atrial fibrillation beyond socioeconomic differences: a Danish cohort study, 1987-2015.

Authors:  Kirstine Wodschow; Kristine Bihrmann; Mogens Lytken Larsen; Gunnar Gislason; Annette Kjær Ersbøll
Journal:  Int J Health Geogr       Date:  2021-03-01       Impact factor: 3.918

5.  American Journal of Preventive Cardiology: Area Deprivation Index and Oral Anticoagulation in New Onset Atrial Fibrillation.

Authors:  Toluwa D Omole; Jianuhi Zhu; William Garrard; Floyd W Thoma; Suresh Mulukutla; Annie McDermott; Brandon M Herbert; Utibe R Essien; Jared W Magnani
Journal:  Am J Prev Cardiol       Date:  2022-04-27

6.  Income and outcomes of patients with incident atrial fibrillation.

Authors:  Fausto Biancari; Konsta Teppo; Jussi Jaakkola; Olli Halminen; Miika Linna; Jari Haukka; Jukka Putaala; Pirjo Mustonen; Janne Kinnunen; Juha Hartikainen; Aapo Aro; Juhani Airaksinen; Mika Lehto
Journal:  J Epidemiol Community Health       Date:  2022-06-15       Impact factor: 6.286

7.  Association of Neighborhood-Level Material Deprivation With Atrial Fibrillation Care in a Single-Payer Health Care System: A Population-Based Cohort Study.

Authors:  Husam Abdel-Qadir; Leo E Akioyamen; Jiming Fang; Andrea Pang; Andrew C T Ha; Cynthia A Jackevicius; David A Alter; Peter C Austin; Clare L Atzema; R Sacha Bhatia; Gillian L Booth; Sharon Johnston; Irfan Dhalla; Moira K Kapral; Harlan M Krumholz; Candace D McNaughton; Idan Roifman; Karen Tu; Jacob A Udell; Harindra C Wijeysundera; Dennis T Ko; Michael J Schull; Douglas S Lee
Journal:  Circulation       Date:  2022-06-09       Impact factor: 39.918

8.  Lifetime Risk of Atrial Fibrillation by Race and Socioeconomic Status: ARIC Study (Atherosclerosis Risk in Communities).

Authors:  Liping Mou; Faye L Norby; Lin Y Chen; Wesley T O'Neal; Tené T Lewis; Laura R Loehr; Elsayed Z Soliman; Alvaro Alonso
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-07

Review 9.  Social determinants of atrial fibrillation.

Authors:  Utibe R Essien; Jelena Kornej; Amber E Johnson; Lucy B Schulson; Emelia J Benjamin; Jared W Magnani
Journal:  Nat Rev Cardiol       Date:  2021-06-02       Impact factor: 32.419

10.  Sociodemographic and clinical factors affecting the quality of life of patients with chronic obstructive pulmonary disease.

Authors:  Joanna Rosińczuk; Maria Przyszlak; Izabella Uchmanowicz
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2018-09-12
  10 in total

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