ArticleObesity facts2020
Trajectories of Waist-to-Hip Ratio and Adverse Outcomes in Heart Failure with Mid-Range Ejection Fraction.
Article in Obesity facts, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Evolving perspectives on evaluating obesity: from traditional methods to cutting-edge techniques.Annals of medicine · 2025Review
- Severity and stroke type according to waist-Hip ratio, body mass index and waist circumference.Journal of neural transmission (Vienna, Austria : 1996) · 2025Observational
- Predictive Capability of Dual Trajectories of Central Adiposity Indices Combined With Glucose for Cardiovascular Diseases.Journal of diabetes · 2025Article
- The Role of Modifying Risk Factors as Well as Body Mass Index, Waist Circumference and Hip to Waist Ratio as Anthropometric Indicators and Parameters of Obesity in the Occurence of Stroke.Materia socio-medica · 2024Article
- Waist-hip ratio is an independent predictor of moderate-to-severe OSA in nonobese males: a cross-sectional study.BMC pulmonary medicine · 2022Article
- Association between waist-hip ratio and subclinical myocardial injury in the general population: Insights from the NHANES.Frontiers in endocrinology · 2022Article
- Estimating trunk fat in children according to sex using basic somatic readings: an opportunity for improving evaluation among girls.BMC pediatrics · 2021Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundWaist-to-hip ratio (WHR) is a strong predictor of mortality in patients with heart failure (HF). However, common WHR trajectories are not well established in HF with mid-range ejection fraction (HFmrEF) persons, and their relationship to clinical outcomes remains uncertain.
methodWe prospectively enrolled 1,396 participants with HFmrEF (left ventricular ejection fraction 40-49%) from April 2013 through April 2017. The waist and hip circumferences of the subjects were measured at regular intervals, and the WHR was calculated as waist circumference divided by hip circumference. Latent mixture modeling was performed to identify WHR trajectories. We then used Cox proportional-hazard models to examine the association between WHR trajectory patterns and incident HF, incident cardiovascular disease (CVD), and all-cause mortality.
resultsWe identified four distinct WHR trajectory patterns: lean-moderate increase (9.2%), medium-stable/increase (32.7%), heavy-stable/increase (48.0%), and heavy-moderate decrease (10.1%). After multivariable adjustment, the heavy-stable/increase and heavy-moderate decrease patterns were associated with an increased all-cause mortality risk (heavy-stable/increase: adjusted hazard ratio [HR] 3.18, 95% confidence interval [CI] 2.75-4.62; heavy-moderate decrease: adjusted HR 2.32, 95% CI 1.71-3.04), incident CVD risk (heavy-stable/increase: adjusted HR 4.03, 95% CI 2.39-4.91; heavy-moderate decrease: adjusted HR 3.05, 95% CI 2.34-4.09), and incident HF risk (heavy-stable/increase: adjusted HR 2.72, 95% CI 2.05-3.28; heavy-moderate decrease: adjusted HR 2.39, 95% CI 1.80-3.03) with reference to the lean-moderate increase pattern.
conclusionAmong patients with HFmrEF, the trajectories of WHR gain are associated with poor outcomes. These findings highlight the importance of abdominal fat accumulation management during the progression of HFmrEF.
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