Vladimir Cejka, Hermann Riepl, Nora Schwegel, Ewald Kolesnik, David Zach, Viktoria Santner, Viktoria Höller, Natascha Schweighofer, Barbara Obermayer-Pietsch, Thomas Pieber, Caroline Morbach, Stefan Frantz, Andreas Zirlik, Dirk von Lewinski, Stefan Störk, Florian Posch, Klemens Ablasser, Nicolas Verheyen
{"title":"Prognostic impact of gait speed, muscle strength and muscle mass in chronic heart failure-A prospective cohort study.","authors":"Vladimir Cejka, Hermann Riepl, Nora Schwegel, Ewald Kolesnik, David Zach, Viktoria Santner, Viktoria Höller, Natascha Schweighofer, Barbara Obermayer-Pietsch, Thomas Pieber, Caroline Morbach, Stefan Frantz, Andreas Zirlik, Dirk von Lewinski, Stefan Störk, Florian Posch, Klemens Ablasser, Nicolas Verheyen","doi":"10.1002/ehf2.15221","DOIUrl":null,"url":null,"abstract":"<p><strong>Aims: </strong>Heart failure (HF) impairs skeletal muscle mass and function, which contributes to reduced physical performance. We investigated the prognostic impact of gait speed (GS), handgrip strength (HG) and appendicular skeletal muscle index (ASMI) on cardiovascular outcomes in a prospective HF cohort.</p><p><strong>Methods: </strong>This single-centre prospective cohort study included adults with stable chronic HF with a previous diagnosis of overtly reduced left ventricular ejection fraction (LVEF) <40% and LVEF < 50% at enrolment. GS was measured by the 4 m GS test, maximal HG was measured with a hydraulic dynamometer, and ASMI was measured by dual-energy X-ray absorptiometry. The primary combined outcome was cardiovascular death or worsening HF. Fine and Gray regression models were calculated, treating non-cardiovascular death as the competing event.</p><p><strong>Results: </strong>Two hundred five patients (78% male) were analysed. The median age was 66 (quartiles: 58-74) years, 31% had diabetes mellitus, and the median LVEF was 37 (30-43) %. Median GS was 1.0 (0.8-1.0) m/s, median HG was 32 (24-40) kg, and median ASMI was 8.0 (7.2-8.9) kg/m<sup>2</sup>. During a median follow-up of 4.7 (4.0-5.3) years, the primary outcome was observed in 52 patients. In models adjusted for key clinical covariates, lower GS predicted a higher risk of cardiovascular death or worsening HF [subdistribution hazard ratio (SHR) per 0.1 m/s increase = 0.81, 95% confidence interval (CI) 0.68-0.95], whereas HG (SHR per 5 kg increase = 0.97, 95% CI 0.84-1.10) and ASMI (SHR per 1 kg/m<sup>2</sup> increase = 1.17, 95% CI 0.94-1.44) did not. In the analysis of effect modification, these associations were consistent across key clinical subgroups.</p><p><strong>Conclusions: </strong>Higher GS was independently associated with a lower risk of cardiovascular death or worsening HF, whereas HG and ASMI were not. We prospectively confirm GS as a physical performance measure with clear prognostic significance for patients with HF.</p>","PeriodicalId":11864,"journal":{"name":"ESC Heart Failure","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ESC Heart Failure","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1002/ehf2.15221","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Prognostic impact of gait speed, muscle strength and muscle mass in chronic heart failure-A prospective cohort study.
Aims: Heart failure (HF) impairs skeletal muscle mass and function, which contributes to reduced physical performance. We investigated the prognostic impact of gait speed (GS), handgrip strength (HG) and appendicular skeletal muscle index (ASMI) on cardiovascular outcomes in a prospective HF cohort.
Methods: This single-centre prospective cohort study included adults with stable chronic HF with a previous diagnosis of overtly reduced left ventricular ejection fraction (LVEF) <40% and LVEF < 50% at enrolment. GS was measured by the 4 m GS test, maximal HG was measured with a hydraulic dynamometer, and ASMI was measured by dual-energy X-ray absorptiometry. The primary combined outcome was cardiovascular death or worsening HF. Fine and Gray regression models were calculated, treating non-cardiovascular death as the competing event.
Results: Two hundred five patients (78% male) were analysed. The median age was 66 (quartiles: 58-74) years, 31% had diabetes mellitus, and the median LVEF was 37 (30-43) %. Median GS was 1.0 (0.8-1.0) m/s, median HG was 32 (24-40) kg, and median ASMI was 8.0 (7.2-8.9) kg/m2. During a median follow-up of 4.7 (4.0-5.3) years, the primary outcome was observed in 52 patients. In models adjusted for key clinical covariates, lower GS predicted a higher risk of cardiovascular death or worsening HF [subdistribution hazard ratio (SHR) per 0.1 m/s increase = 0.81, 95% confidence interval (CI) 0.68-0.95], whereas HG (SHR per 5 kg increase = 0.97, 95% CI 0.84-1.10) and ASMI (SHR per 1 kg/m2 increase = 1.17, 95% CI 0.94-1.44) did not. In the analysis of effect modification, these associations were consistent across key clinical subgroups.
Conclusions: Higher GS was independently associated with a lower risk of cardiovascular death or worsening HF, whereas HG and ASMI were not. We prospectively confirm GS as a physical performance measure with clear prognostic significance for patients with HF.
期刊介绍:
ESC Heart Failure is the open access journal of the Heart Failure Association of the European Society of Cardiology dedicated to the advancement of knowledge in the field of heart failure. The journal aims to improve the understanding, prevention, investigation and treatment of heart failure. Molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, as well as the clinical, social and population sciences all form part of the discipline that is heart failure. Accordingly, submission of manuscripts on basic, translational, clinical and population sciences is invited. Original contributions on nursing, care of the elderly, primary care, health economics and other specialist fields related to heart failure are also welcome, as are case reports that highlight interesting aspects of heart failure care and treatment.