Evidence map›Paper›PMID 32917137›Full record

ArticleBMC geriatrics2020

Multimorbidity, physical frailty, and self-rated health in older patients with atrial fibrillation.

Hawa O Abu, Jane Saczynski, Jordy Mehawej, Tenes Paul, Hamza Awad, Benita A Bamgbade, Isabelle C Pierre-Louis, Mayra Tisminetzky, Catarina I Kiefe, Robert J Goldberg and 1 more

Abstract read
In one paragraph

Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Hospital healthcare utilisation in patients with atrial fibrillation: the role of multimorbidity and age.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Hawa O AbuDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA. ozyabu@gmail.com.ORCID 0000-0002-9359-7373
Jane SaczynskiDepartment of Pharmacy and Health Systems Sciences, School of Pharmacy, Northeastern University, Boston, MA, USA.
Jordy MehawejDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
Tenes PaulDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.
Hamza AwadDepartments of Community Medicine and Internal Medicine, Mercer University School of Medicine, Macon, GA, USA.
Benita A BamgbadeDepartment of Pharmacy and Health Systems Sciences, School of Pharmacy, Northeastern University, Boston, MA, USA.
Isabelle C Pierre-LouisDepartment of Pharmacy and Health Systems Sciences, School of Pharmacy, Northeastern University, Boston, MA, USA.
Mayra TisminetzkyDivision of Geriatrics, Department of Medicine, University of Massachusetts Medical School, and Meyers Primary Care Institute, Worcester, MA, USA.
Catarina I KiefeDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
Robert J GoldbergDepartment of Population and Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA.
David D McManusDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Massachusetts Medical School, 55 Lake Avenue North, Worcester, MA, 01655, USA.

Funding

Preparing For What Is Next With Aducanumab In Real World SettingsR33AG057806 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Christopher Barrett Bowling, Ana Roman Quinones · 2018 to 2026
$9.0M
Transdisciplinary Training In Cardiovascular ResearchT32HL120823 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DONAHUE, J KEVIN, KIEFE, CATARINA I. · 2014 to 2025
$3.9M
Mechanism and Modulation of Sex Differences in Myocardial Steatosis Induced Left Ventricular DysfunctionR01HL136601 · NHLBI · UNIVERSITY OF TEXAS ARLINGTON · PI NELSON, MICHAEL DOUGLAS · 2018 to 2022
$3.3M
Detecting bleeding events using EHRs for prediction in AfibR01HL137794 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., YU, HONG · 2018 to 2021
$3.3M
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)R01HL126911 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI MCMANUS, DAVID D., SACZYNSKI, JANE STEELE · 2016 to 2019
$3.2M
Smartwatch Monitoring for Atrial Fibrillation After StrokeR01HL137734 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI CHON, KI H, MCMANUS, DAVID D. · 2018 to 2021
$3.1M
FHS-NEXT - Framingham Novel EXam using TechnologyR01HL141434 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BENJAMIN, EMELIA J., MCMANUS, DAVID D. · 2019 to 2022
$2.5M
Multimorbidity and Treatment-Related Outcomes in Older Heart Failure PatientsR01AG062630 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI TISMINETZKY, MAYRA S. · 2019 to 2022
$2.4M
NHLBI NIH HHS R01 HL126911NHLBI NIH HHS R01 HL136601NHLBI NIH HHS R01 HL137734NHLBI NIH HHS R01 HL137794NHLBI NIH HHS R01 HL141434NHLBI NIH HHS T32 HL120823NIA NIH HHS R01 AG062630NIA NIH HHS R33 AG057806
6 · The paper itself

Abstract

backgroundHolistic care models emphasize management of comorbid conditions to improve patient-reported outcomes in treatment of atrial fibrillation (AF). We investigated relations between multimorbidity, physical frailty, and self-rated health (SRH) among older adults with AF.

methodsPatients (n = 1235) with AF aged 65 years and older were recruited from five medical centers in Massachusetts and Georgia between 2015 and 2018. Ten previously diagnosed cardiometabolic and 8 non-cardiometabolic conditions were assessed from medical records. Physical Frailty was assessed with the Cardiovascular Health Study frailty scale. SRH was categorized as either "excellent/very good", "good", and "fair/poor". Separate multivariable ordinal logistic models were used to examine the associations between multimorbidity and SRH, physical frailty and SRH, and multimorbidity and physical frailty.

resultsOverall, 16% of participants rated their health as fair/poor and 14% were frail. Hypertension (90%), dyslipidemia (80%), and heart failure (37%) were the most prevalent cardiometabolic conditions. Arthritis (51%), anemia (31%), and cancer (30%), the most common non-cardiometabolic diseases. After multivariable adjustment, patients with higher multimorbidity were more likely to report poorer health status (Odds Ratio (OR): 2.15 [95% CI: 1.53-3.03], ≥ 8 vs 1-4; OR: 1.37 [95% CI: 1.02-1.83], 5-7 vs 1-4), as did those with more prevalent cardiometabolic and non-cardiometabolic conditions. Patients who were pre-frail (OR: 1.73 [95% CI: 1.30-2.30]) or frail (OR: 6.81 [95% CI: 4.34-10.68]) reported poorer health status. Higher multimorbidity was associated with worse frailty status.

conclusionsMultimorbidity and physical frailty were common and related to SRH. Our findings suggest that holistic management approaches may influence SRH among older patients with AF.

Indexed as

Frail ElderlyActivities of Daily LivingAgedAged, 80 and overAtrial FibrillationFemaleFrailtyGeriatric AssessmentHeart FailureHumansMaleMultimorbidityComorbid diseasesFunctional statusGeriatric cardiologyWell-being

Identifiers

PMID32917137
PMCPMC7488548

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.