Evidence mapPaperPMID 38853292Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Physical frailty, genetic predisposition, and incident arrhythmias.

Yucong Zhang, Man Liu, Jiajun Li, Lei Ruan, Xiaofen Wu, Cuntai Zhang, Liangkai Chen

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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  8. Physical frailty, genetic predisposition, and incident arrhythmias.Journal of cachexia, sarcopenia and muscle · 2024
    Article
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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

7 authors.

Yucong ZhangDepartment of Geriatrics, Institute of Gerontology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Man LiuDepartment of Geriatrics, Institute of Gerontology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiajun LiDivision of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Lei RuanDepartment of Geriatrics, Institute of Gerontology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xiaofen WuDepartment of Geriatrics, Institute of Gerontology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Cuntai ZhangDepartment of Geriatrics, Institute of Gerontology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Liangkai ChenDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID 0000-0002-5227-4236

Funding

Key Research and Development Program of Hubei Province 2022BCA001National Key Research and Development Program of China 2020YFC2008000Young Elite Scientists Sponsorship Program by China Association for Science and Technology YESS20210143
6 · The paper itself

Abstract

backgroundCross-sectional evidence suggests a possible link between frailty and atrial fibrillation (AF). It remains unclear whether frailty and incident arrhythmias are longitudinally associated. This study aimed to determine whether the frailty phenotype is longitudinally associated with incident arrhythmias, especially AF.

methodsIn this prospective cohort of UK Biobank, individuals with arrhythmias at baseline, those without data for frailty phenotype, and no genetic data were excluded. Five domains of physical frailty, including weight loss, exhaustion, low physical activity, low grip strength, and slow gait speed, were assessed. A total of 142 single-nucleotide polymorphisms was used to calculate the polygenic risk score (PRS) for AF. Hospital inpatient records and death records were used to identify incident arrhythmias.

resultsThis study included 464 154 middle-aged and older adults (mean age 56.4 ± 8.1 years, 54.7% female) without arrhythmia at baseline. During a median follow-up of 13.4 years (over 5.9 million person-years), 46 454 new-onset arrhythmias cases were recorded. In comparison with non-frailty, the multivariable-adjusted hazard ratios (HRs) of AF were 1.12 (95% CI: 1.09, 1.15, P < 0.0001) and 1.44 (95% CI: 1.36, 1.51, P < 0.0001) for participants with pre-frailty and frailty, respectively. Similar associations were observed for other arrhythmias. We found that slow gait speed presented the strongest risk factor in predicting all arrhythmias, including AF (HR 1.34, 95% CI: 1.30, 1.39), bradyarrhythmias (HR 1.30, 95% CI: 1.22, 1.37), conduction system diseases (HR 1.29, 95% CI: 1.22, 1.36), supraventricular arrhythmias (HR 1.32, 95% CI: 1.19, 1.47), and ventricular arrhythmias (HR 1.37, 95% CI: 1.25, 1.51), with all P values <0.0001. In addition to slow gait speed, weight loss (HR 1.13, 95% CI: 1.09, 1.16, P < 0.0001) and exhaustion (HR 1.11, 95% CI: 1.07, 1.14, P < 0.0001) were significantly associated with incident AF, whereas insignificant associations were observed for physical activity (HR 1.03, 95% CI: 0.996, 1.08, P = 0.099) and low grip strength (HR 1.00, 95% CI: 0.97, 1.03, P = 0.89). We observed a significant interaction between genetic predisposition and frailty on incident AF (P for interaction <0.0001), where those with frailty and the highest tertile of PRS had the highest risk of AF (HR 3.34, 95% CI: 3.08, 3.61, P < 0.0001) compared with those with non-frailty and the lowest tertile of PRS.

conclusionsPhysical pre-frailty and frailty were significantly and independently associated with incident arrhythmias. Although direct causal inference still needs to be further validated, these results suggested the importance of assessing and managing frailty for arrhythmia prevention.

Indexed as

Arrhythmias, CardiacFrailtyGenetic Predisposition to DiseaseAgedAtrial FibrillationFemaleHumansIncidenceMaleMiddle AgedProspective StudiesRisk FactorsArrhythmiasAtrial fibrillationFrailtyProspective cohortUK biobank

Identifiers

PMID38853292
PMCPMC11294030

What Socratic holds

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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 Socratic graph.