Evidence mapPaperPMID 41789343Full record

ArticleReviews in cardiovascular medicine2026

The Associations of Anthropometric Indices With Stages and Mortality in Cardiovascular-Kidney-Metabolic Syndrome: Insights From NHANES.

Ming Zhong, Chen-Nan Liu, Yang Chen

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Article in Reviews in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ming ZhongDepartment of Endocrinology, The First Affiliated Hospital of Fujian Medical University, Fujian Medical University, 350005 Fuzhou, Fujian, China.
Chen-Nan LiuDepartment of Cardiology, The First Affiliated Hospital of Fujian Medical University, Fujian Medical University, 350005 Fuzhou, Fujian, China.
Yang ChenDepartment of Cardiovascular and Metabolic Medicine, Institute of Life Course and Medical Sciences, University of Liverpool, L7 8TX Liverpool, UK.ORCID https://orcid.org/0000-0002-2808-6286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular-kidney-metabolic (CKM) syndrome embodies the interconnection between cardiovascular, renal, and metabolic disorders. Anthropometric indices reflect distinct aspects of obesity and may aid in stratifying the severity of CKM syndrome and predicting mortality. Thus, this study aimed to assess and compare the relationships between multiple obesity-related measures and advanced CKM stages, as well as the risk of mortality. Methods: Data included in this analysis were from the National Health and Nutrition Examination Survey (NHANES). Participants were categorized into quartiles (Q1-Q4) based on each anthropometric index. We estimated the associations with all-cause, cardiovascular, and non-cardiovascular mortality outcomes using Cox proportional hazards models, and evaluated the odds of an advanced CKM stage (stages 3/4) using logistic regression. Possible non-linear exposure-outcome patterns were further investigated through restricted cubic spline modelling. Then, to compare the predictive performance of the indices, we calculated the area under the receiver operating characteristic curve (AUC). Results: We included 28,911 adults from the NHANES (1999-2018) (median age (interquartile range (IQR)) 55.0 (40.0-67.0) years, 52.5% male), comprising 21,789 in CKM stages 1-2 and 7122 in stages 3-4. The anthropometric indices varied significantly across CKM stages ( Conclusions: This study shows that several anthropometric indices, particularly the ABSI, WWI, WHtR, and C-index, are strongly associated with advanced CKM stage and increased mortality risk. These associations were stronger for central adiposity measures than for general adiposity, suggesting the potential relevance of central fat distribution and supporting the possible role of anthropometric indices in early risk stratification and targeted intervention in CKM syndrome.

Indexed as

anthropometrycardio-renal syndromedisease progressionmetabolic syndromemortality

Identifiers

PMID41789343
PMCPMC12960012

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