Evidence map›Paper›PMID 35355441›Full record

ArticleESC heart failure2022

Clinical characteristics and frailty status in heart failure with preserved vs. reduced ejection fraction.

Tomoyuki Hamada, Toru Kubo, Kazuya Kawai, Yoko Nakaoka, Toshikazu Yabe, Takashi Furuno, Eisuke Yamada, Hiroaki Kitaoka, Kochi YOSACOI study

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05888688 (The Imaging Assessment of Sarcopenia Across the Heart Failure Spectrum), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

NCT05888688 recruitingnot on this mapstarted 2023, after this paper: background citation

The Imaging Assessment of Sarcopenia Across the Heart Failure Spectrum

Typeobservational_patient_registrySponsorUniversity of LeicesterRan2023 to 2026Enrolled80ConditionsHeart Failure, Sarcopenia, Heart Failure With Reduced Ejection Fraction, Heart Failure With Preserved Ejection Fraction
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

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  11. High-intensity care for GDMT titration.Heart failure reviews · 2024
    Review
  12. Long-term prognostic value of the HESC heart failure · 2024
    Article
  13. Article
  14. Article
  15. 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

9 authors.

Tomoyuki HamadaDepartment of Cardiology and Geriatrics, Kochi Medical School, Kochi University, Kochi, 783-8505, Japan.
Toru KuboDepartment of Cardiology and Geriatrics, Kochi Medical School, Kochi University, Kochi, 783-8505, Japan.
Kazuya KawaiDepartment of Cardiology, Chikamori Hospital, Kochi, Japan.
Yoko NakaokaDepartment of Cardiology, Chikamori Hospital, Kochi, Japan.
Toshikazu YabeDepartment of Cardiology, Kochi Prefectural Hatakenmin Hospital, Sukumo, Japan.
Takashi FurunoDepartment of Cardiology, Kochi Prefectural Aki General Hospital, Aki, Japan.
Eisuke YamadaDepartment of Cardiology, Susaki Kuroshio Hospital, Susaki, Japan.
Hiroaki KitaokaDepartment of Cardiology and Geriatrics, Kochi Medical School, Kochi University, Kochi, 783-8505, Japan.
Kochi YOSACOI study

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe aim of this study was to elucidate the clinical characteristics, including frailty status, of patients with heart failure with preserved ejection fraction (HFpEF) in comparison with those in patients with heart failure with reduced ejection fraction (HFrEF) in a super-aged region of Japan. METHODS AND

resultsOf the 1061 Japanese patients enrolled in the Kochi YOSACOI study, a multicentre registry, we divided 645 patients (median age of 81 years [interquartile range, 72-87 years]; women, 49.1%) into two groups, HFpEF patients (61.2%) and HFrEF patients (38.8%). Physical frailty was diagnosed on the basis of the Japanese version of Cardiovascular Health (J-CHS) Study criteria. Patients for whom left ventricular ejection fraction data were not available (n = 19), patients with heart failure with mildly reduced ejection fraction (n = 172), and patients who were not assessed by the J-CHS criteria (n = 225) were excluded. The median ages of the HFpEF and HFrEF patients were 84 and 76 years, respectively. The proportion of patients with HFpEF gradually increased with advance of age. The proportion of patients with three or more comorbidities was larger in HFpEF patients than in HFrEF patients (77.9% vs. 65.6%, P = 0.003). Handgrip strength was significantly lower in HFpEF patients than in HFrEF patients for both men (P < 0.001) and women (P = 0.041). Comfortable 5 m walking speed was significantly slower in HFpEF patients than in HFrEF patients (P < 0.001). The proportions of patients with physical frailty were 55.2% in HFpEF patients and 46.8% in HFrEF patients, and the proportion was significantly higher in HFpEF patients (P = 0.043). In multivariate analysis, physical frailty was associated with advanced age [odds ratio (OR), 1.030; 95% confidence interval (CI), 1.010-1.050; P = 0.023] and low albumin level (OR, 0.334; 95% CI, 0.192-0.582; P < 0.001) in HFpEF patients, and physical frailty was associated with women (OR, 2.150; 95% CI, 1.030-4.500; P = 0.042) and anaemia (OR, 2.840; 95% CI, 1.300-6.230; P = 0.003) in HFrEF patients.

conclusionsIn a super-aged population of HF patients in Japan, HFpEF patients are more likely to be frail/have a high frailty status compared with HFrEF patients. The results suggested that physical frailty is associated with extracardiac factors in both HFpEF patients and HFrEF patients.

Indexed as

FrailtyHeart FailureVentricular Dysfunction, LeftAgedAged, 80 and overFemaleHand StrengthHumansMalePrognosisStroke VolumeVentricular Function, LeftElderlyFrailtyHeart failureHeat failure with preserved ejection fractionPhysical function

Identifiers

PMID35355441
PMCPMC9065850

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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.