Evidence map›Paper›PMID 38291000›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

The burden of frailty in heart failure: Prevalence, impacts on clinical outcomes and the role of heart failure medications.

Hsi-Yu Lai, Shih-Tsung Huang, Stefan D Anker, Stephan von Haehling, Masahiro Akishita, Hidenori Arai, Liang-Kung Chen, Fei-Yuan Hsiao

Registry-linked trialOpen access · goldAbstract 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. It is linked to trial NCT07510035 (A Cross-Sectional Observational Study:Prevalence and Associated Factors of Frailty in Hospitalized Elderly Patients With Heart Failure), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
11.4field-weighted citation impact, top 1% of its field
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.

NCT07510035 completednot on this map

A Cross-Sectional Observational Study:Prevalence and Associated Factors of Frailty in Hospitalized Elderly Patients With Heart Failure

TypeobservationalSponsorZhejiang HospitalRan2023 to 2023Enrolled298ConditionsElderly Inpatients, Frail, Heart Failure Hospitalization, CGA
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

8 authors at 5 institutions in 3 countries.

Hsi-Yu LaiGraduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Shih-Tsung HuangCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Stefan D AnkerDepartment of Cardiology (CVK) of German Heart Center Charité; Institute of Health Center for Regenerative Therapies (BCRT), German Centre for Cardiovascular Research (DZHK) partner site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
Stephan von HaehlingDepartment of Cardiology and Pneumology, University of Göttingen Medical Center, Göttingen, Germany.
Masahiro AkishitaDepartment of Geriatric Medicine, University of Tokyo, Tokyo, Japan.
Hidenori AraiNational Center for Geriatrics and Gerontology, Obu, Japan.
Liang-Kung ChenCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID 0000-0002-2387-8508
Fei-Yuan HsiaoGraduate Institute of Clinical Pharmacy, College of Medicine, National Taiwan University, Taipei, Taiwan.ORCID 0000-0003-1660-9120
German Centre for Cardiovascular Research · DENational Taiwan University · TWNational Yang Ming Chiao Tung University · TWNational Center for Geriatrics and Gerontology · JPTokyo Medical University · JP

Funding

National Yang Ming Chiao Tung UniversityTaiwan's National Science and Technology Council NSTC 112-2622-8-A49-016-IETaiwan's National Science and Technology Council NSTC 112-2923-B-A49-002-MY2
6 · The paper itself

Abstract

backgroundFrailty often coexists with heart failure (HF), which significantly aggravates the clinical outcomes of older adults. However, studies investigating the interplay between frailty and HF in older adults are scarce. We aimed to assess the prevalence of frailty using the cumulative deficit approach and evaluate the impacts of frailty on health utilization, use of HF-related medications and adverse clinical outcomes (all-cause mortality, all-cause readmissions and HF readmissions) among older HF patients.

methodsA total of 38 843 newly admitted HF patients were identified from Taiwan's National Health Insurance Research Database and categorized into three frailty subgroups (fit, mild frailty and severe frailty) based on the multimorbidity frailty index. Cox regression models and Fine and Gray subdistribution hazard models were used to estimate the impacts of frailty on clinical outcomes at 1 and 2 years of follow-up. Generalized estimating equation models were further conducted to evaluate the associations between longitudinal and time-varying use of HF-related medications and clinical outcomes among distinct frailty subgroups.

resultsOf 38 843 older HF patients (mean age 80.4 ± 8.5 years, 52.3% females) identified, 68.3% were categorized as frail (47.5% of mild frailty and 20.8% of severe frailty). The median number of readmissions (fit: 1 [inter-quartile range-IQR 2], mild frailty: 1 [IQR 2] and severe frailty: 2 [IQR 3]) increased with the severity of frailty. Only 27.3% of HF patients died of cardiovascular diseases regardless of their frailty status. Compared with the fit group, the severe frailty group was associated with increased risk of all-cause mortality (adjusted hazard ratio 1.16, 95% confidence interval [CI] 1.11-1.21), all-cause readmissions (subdistributional hazard ratio (sHR) 1.21, 95% CI 1.16-1.25) and HF-related readmissions (sHR 1.14, 95% CI 1.09-1.20) at 2 years of follow-up. Those who used triple or more HF-related medications were at lower risk for all-cause readmissions (adjusted odds ratio [aOR] 0.49, 95% CI 0.44-0.54) and HF-related readmissions (aOR 0.42, 95% CI 0.37-0.47) at 2 years of follow-up even in the severe frailty group.

conclusionsFrailty is highly prevalent and associated with increased risk of all-cause mortality, all-cause readmissions and HF readmissions among older HF patients. Those who were using triple or more HF-related medications were at lower risk of adverse clinical outcomes across distinct frailty subgroups. Further studies are needed to optimize the treatment strategies for older HF patients with distinct frailty status.

Indexed as

FrailtyHeart FailureAgedAged, 80 and overFemaleHospitalizationHumansMaleMultimorbidityPrevalenceelderlyfrailtyheart failuremedicationmortality

Identifiers

PMID38291000
PMCPMC10995260
OpenAlexW4391399885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.