Evidence map›Paper›PMID 41789320›Full record

ArticleReviews in cardiovascular medicine2026

Associations Between Controlling Nutritional Status and Allostatic Load With Heart Failure Across Different Depressive States: A Cross-Sectional Study Using NHANES 2005-2018 Data.

Lai Li, Yujia Zhai, Aijun Liu, Junwu Su

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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. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Lai LiDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.ORCID https://orcid.org/0009-0008-9925-5279
Yujia ZhaiDepartment of Wuhan Mental Health Center, Jianghan University, 430000 Wuhan, Hubei, China.
Aijun LiuDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.
Junwu SuDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, 100029 Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The controlling nutritional status (CONUT) and allostatic load (AL) indices indicate significant correlations with heart failure (HF). Given that depressive status associated with metabolic dysregulation may influence these associations, this research aimed to explore whether depressive status modulates the associations between these two indices and HF. Methods: Data were analyzed from 4632 participants aged ≥20 years in the National Health and Nutrition Examination Survey (NHANES), 2005-2018. After applying weighting (WTINT2YR) to the included data, samples with missing data and those without weighted processing were excluded. Binary logistic regression analysis was then employed to investigate the relationships between CONUT, AL, and HF. Subgroup analysis was performed with depressive status as a stratifying factor, and a restricted cubic spline (RCS) model was used to investigate the presence of linear or non-linear relationships between the two clinical indices and HF. Receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were employed to evaluate the predictive performance of the different models for HF. Results: Both CONUT and AL were positively correlated with HF in Model 1 (CONUT: odds ratio (OR) = 1.43, 95% confidence interval (CI): 1.25-1.63, Conclusions: The CONUT and AL indices demonstrated positive associations with HF in the general population. Depressive status is a moderating factor that attenuates the association between CONUT and HF. Meanwhile, CONUT and AL are not effective predictors of HF risk under conditions of depressive status. Therefore, screening for depressive status in individuals with high CONUT and AL indices is important for predicting HF.

Indexed as

ALCONUTdepressionheart failure

Identifiers

PMID41789320
PMCPMC12960005

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