Evidence map›Paper›PMID 32570251›Full record

ArticleObesity facts2020

Trajectories of Waist-to-Hip Ratio and Adverse Outcomes in Heart Failure with Mid-Range Ejection Fraction.

Feng Gao, Jindong Wan, Banglong Xu, Xiaochen Wang, Xianhe Lin, Peijian Wang

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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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7citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Feng GaoDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Jindong WanDepartment of Cardiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
Banglong XuDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Xiaochen WangDepartment of Cardiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
Xianhe LinDepartment of Cardiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Peijian WangDepartment of Cardiology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China, wpjmed@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Cause of DeathHeart FailureHumansPrognosisRisk FactorsVentricular Function, LeftWaist-Hip RatioHeart failure with mid-range ejection fractionPrognosisTrajectoryWaist-to-hip ratio

Identifiers

PMID32570251
PMCPMC7445556

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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 OpenQuestion graph.