Literature DB >> 28267478

Multimorbidity and the risk of hospitalization and death in atrial fibrillation: A population-based study.

Alanna M Chamberlain1, Alvaro Alonso2, Bernard J Gersh3, Sheila M Manemann4, Jill M Killian4, Susan A Weston4, Margaret Byrne5, Véronique L Roger6.   

Abstract

Patients with atrial fibrillation (AF) have many comorbidities and excess risks of hospitalization and death. Whether the impact of comorbidities on outcomes is greater in AF than the general population is unknown.
METHODS: One thousand four hundred thirty patients with AF and community controls matched 1:1 on age and sex were obtained from Olmsted County, Minnesota. Andersen-Gill and Cox regression estimated associations of 19 comorbidities with hospitalization and death, respectively.
RESULTS: AF cases had a higher prevalence of most comorbidities. Hypertension (25.4%), coronary artery disease (17.7%), and heart failure (13.3%) had the largest attributable risk of AF; these along with obesity and smoking explained 51.4% of AF. Over a mean follow-up of 6.3 years, patients with AF experienced higher rates of hospitalization and death than did population controls. However, the impact of comorbidities on hospitalization and death was generally not greater in patients with AF compared with controls, with the exception of smoking. Ever smokers with AF experienced higher-than-expected risks of hospitalization and death, with observed vs expected (assuming additivity of effects) hazard ratios compared with never smokers without AF of 1.78 (1.56-2.02) vs 1.52 for hospitalization and 2.41 (2.02-2.87) vs 1.84 for death.
CONCLUSIONS: Patients with AF have a higher prevalence of most comorbidities; however, the impact of comorbidities on hospitalization and death is generally similar in AF and controls. Smoking is a notable exception; ever smokers with AF experienced higher-than-expected risks of hospitalization and death. Thus, interventions targeting modifiable behaviors may benefit patients with AF by reducing their risk of adverse outcomes.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 28267478      PMCID: PMC5343767          DOI: 10.1016/j.ahj.2016.11.008

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  32 in total

1.  Secular trends in incidence of atrial fibrillation in Olmsted County, Minnesota, 1980 to 2000, and implications on the projections for future prevalence.

Authors:  Yoko Miyasaka; Marion E Barnes; Bernard J Gersh; Stephen S Cha; Kent R Bailey; Walter P Abhayaratna; James B Seward; Teresa S M Tsang
Journal:  Circulation       Date:  2006-07-03       Impact factor: 29.690

2.  Data resource profile: the Rochester Epidemiology Project (REP) medical records-linkage system.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Joshua J Pankratz; Scott M Brue; Walter A Rocca
Journal:  Int J Epidemiol       Date:  2012-11-18       Impact factor: 7.196

3.  Rates and implications for hospitalization of patients ≥65 years of age with atrial fibrillation/flutter.

Authors:  Gerald V Naccarelli; Stephen S Johnston; Mehul Dalal; Jay Lin; Parag P Patel
Journal:  Am J Cardiol       Date:  2011-11-24       Impact factor: 2.778

4.  Estimates of current and future incidence and prevalence of atrial fibrillation in the U.S. adult population.

Authors:  Susan Colilla; Ann Crow; William Petkun; Daniel E Singer; Teresa Simon; Xianchen Liu
Journal:  Am J Cardiol       Date:  2013-07-04       Impact factor: 2.778

5.  Incidence and prevalence of atrial fibrillation and associated mortality among Medicare beneficiaries, 1993-2007.

Authors:  Jonathan P Piccini; Bradley G Hammill; Moritz F Sinner; Paul N Jensen; Adrian F Hernandez; Susan R Heckbert; Emelia J Benjamin; Lesley H Curtis
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2012-01-10

6.  Long-Term Effect of Goal-Directed Weight Management in an Atrial Fibrillation Cohort: A Long-Term Follow-Up Study (LEGACY).

Authors:  Rajeev K Pathak; Melissa E Middeldorp; Megan Meredith; Abhinav B Mehta; Rajiv Mahajan; Christopher X Wong; Darragh Twomey; Adrian D Elliott; Jonathan M Kalman; Walter P Abhayaratna; Dennis H Lau; Prashanthan Sanders
Journal:  J Am Coll Cardiol       Date:  2015-03-16       Impact factor: 24.094

7.  Use of a medical records linkage system to enumerate a dynamic population over time: the Rochester epidemiology project.

Authors:  Jennifer L St Sauver; Brandon R Grossardt; Barbara P Yawn; L Joseph Melton; Walter A Rocca
Journal:  Am J Epidemiol       Date:  2011-03-23       Impact factor: 4.897

8.  Defining and measuring chronic conditions: imperatives for research, policy, program, and practice.

Authors:  Richard A Goodman; Samuel F Posner; Elbert S Huang; Anand K Parekh; Howard K Koh
Journal:  Prev Chronic Dis       Date:  2013-04-25       Impact factor: 2.830

9.  A common data model to assess cardiovascular hospitalization and mortality in atrial fibrillation patients using administrative claims and medical records.

Authors:  Mary P Panaccio; Gordon Cummins; Charles Wentworth; Stephan Lanes; Shannon L Reynolds; Matthew W Reynolds; Raymond Miao; Andrew Koren
Journal:  Clin Epidemiol       Date:  2015-01-12       Impact factor: 4.790

10.  Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.

Authors:  Alvaro Alonso; Bouwe P Krijthe; Thor Aspelund; Katherine A Stepas; Michael J Pencina; Carlee B Moser; Moritz F Sinner; Nona Sotoodehnia; João D Fontes; A Cecile J W Janssens; Richard A Kronmal; Jared W Magnani; Jacqueline C Witteman; Alanna M Chamberlain; Steven A Lubitz; Renate B Schnabel; Sunil K Agarwal; David D McManus; Patrick T Ellinor; Martin G Larson; Gregory L Burke; Lenore J Launer; Albert Hofman; Daniel Levy; John S Gottdiener; Stefan Kääb; David Couper; Tamara B Harris; Elsayed Z Soliman; Bruno H C Stricker; Vilmundur Gudnason; Susan R Heckbert; Emelia J Benjamin
Journal:  J Am Heart Assoc       Date:  2013-03-18       Impact factor: 5.501

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  24 in total

1.  Vaccination and risk of lone atrial fibrillation in the active component United States military.

Authors:  Michael M McNeil; Susan K Duderstadt; Jennifer F Sabatier; Gina G Ma; Jonathan Duffy
Journal:  Hum Vaccin Immunother       Date:  2019-01-08       Impact factor: 3.452

2.  The impact of comorbid severe mental illness and common chronic physical health conditions on hospitalisation: A systematic review and meta-analysis.

Authors:  Naomi Launders; Kate Dotsikas; Louise Marston; Gabriele Price; David P J Osborn; Joseph F Hayes
Journal:  PLoS One       Date:  2022-08-18       Impact factor: 3.752

3.  Characteristics and outcomes of atrial fibrillation in patients without traditional risk factors: an RE-LY AF registry analysis.

Authors:  Mariëlle Kloosterman; Jonas Oldgren; David Conen; Jorge A Wong; Stuart J Connolly; Alvaro Avezum; Salim Yusuf; Michael D Ezekowitz; Lars Wallentin; Marie Ntep-Gweth; Philip Joseph; Tyler W Barrett; Supachai Tanosmsup; William F McIntyre; Shun Fu Lee; Ratika Parkash; Guy Amit; Alex Grinvalds; Isabelle C Van Gelder; Jeff S Healey
Journal:  Europace       Date:  2020-06-01       Impact factor: 5.214

4.  Association of Multimorbidity with Cardiovascular Endpoints and Treatment Effectiveness in Patients 75 Years and Older with Atrial Fibrillation.

Authors:  J'Neka S Claxton; Alanna M Chamberlain; Pamela L Lutsey; Lin Y Chen; Richard F MacLehose; Lindsay G S Bengtson; Alvaro Alonso
Journal:  Am J Med       Date:  2020-04-19       Impact factor: 4.965

5.  Patterns of multimorbidity and their association with hospitalisation: a population-based study of older adults in urban Tanzania.

Authors:  Andrew Tomita; Germana H Leyna; Hae-Young Kim; Yoshan Moodley; Emmanuel Mpolya; Polycarp Mogeni; Diego F Cuadros; Armstrong Dzomba; Alain Vandormael; Till Bärnighausen; Frank Tanser
Journal:  Age Ageing       Date:  2021-06-28       Impact factor: 10.668

6.  Predictors of Acute Atrial Fibrillation and Flutter Hospitalization across 7 U.S. Emergency Departments: A Prospective Study.

Authors:  Bory Kea; E Margaret Warton; Dustin W Ballard; Dustin G Mark; Mary E Reed; Adina S Rauchwerger; Steven R Offerman; Uli K Chettipally; Patricia C Ramos; Daphne D Le; David S Glaser; David R Vinson
Journal:  J Atr Fibrillation       Date:  2021-02-28

7.  Effect of multimorbidity on survival of patients diagnosed with heart failure: a retrospective cohort study in Singapore.

Authors:  Palvinder Kaur; Nakul Saxena; Alex Xiaobin You; Raymond C C Wong; Choon Pin Lim; Seet Yoong Loh; Pradeep Paul George
Journal:  BMJ Open       Date:  2018-05-20       Impact factor: 2.692

Review 8.  Mortality in atrial fibrillation. Is it changing?

Authors:  Alvaro Alonso; Zakaria Almuwaqqat; Alanna Chamberlain
Journal:  Trends Cardiovasc Med       Date:  2020-10-27       Impact factor: 6.677

9.  Impact of comorbid conditions on disease-specific quality of life in older men and women with atrial fibrillation.

Authors:  Hawa O Abu; Jane S Saczynski; John Ware; Jordy Mehawej; Tenes Paul; Hamza Awad; Benita A Bamgbade; Isabelle C Pierre-Louis; Mayra Tisminetzky; Catarina I Kiefe; Robert J Goldberg; David D McManus
Journal:  Qual Life Res       Date:  2020-07-11       Impact factor: 3.440

10.  Comparing the Effects of Krebs Plus Verapamil Solution on Endothelial Function of Harvested Human Greater Saphenous Vein with Heparinized Blood, an Invitro Study.

Authors:  Mitra Shokri; Reza Moradpour; Majid Malekzade Shafaroudi; Nourollah Rezaei; Shervin Ziabakhsh Tabary
Journal:  Med Arch       Date:  2017-06
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