Evidence map›Paper›PMID 42298706›Full record

ArticleDiabetology & metabolic syndrome2026

Association between different metabolic phenotypes and chronic kidney disease risk: a cohort study.

Qi Yu, Haolan Xu, Qin Yang, Wenjing Wang, Ru Zhou, Yanlang Yang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Qi Yu *Department of Nephrology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical University, Wuhu, Anhui, 241001, People's Republic of China.
Haolan Xu *Department of Nephrology, Wanbei Coal-electricity Group General Hospital, Suzhou, 234000, Anhui, People's Republic of China.
Qin YangNanchang University, Nanchang, 330031, Jiangxi, People's Republic of China.
Wenjing WangDepartment of Nephrology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical University, Wuhu, Anhui, 241001, People's Republic of China.
Ru ZhouDepartment of Nephrology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical University, Wuhu, Anhui, 241001, People's Republic of China.
Yanlang YangDepartment of Nephrology, Yijishan Hospital, The First Affiliated Hospital of Wannan Medical University, Wuhu, Anhui, 241001, People's Republic of China. yangyanlang@126.com.

Funding

2022 Wannan Medical College Talent Introduction Special Fund YR20230122Scientific Research Project of Anhui Provincial Department of Education 2025AHGXZK31525Wannan Medical College horizontal research project 662202404013
6 · The paper itself

Abstract

introductionMetabolic syndrome (MetS) involves conditions that alter renal structure/function; however few studies have considered the dynamic nature of metabolic status when exploring its association with chronic kidney disease (CKD).

methodsWe retrospectively included 7034 participants, categorized into four metabolic phenotypes by BMI and metabolic status: metabolically healthy non-overweight/obesity (MHNO), metabolically healthy overweight/obesity (MHO), metabolically unhealthy non-overweight/obesity (MUNO), and metabolically unhealthy overweight/obesity (MUO). The primary endpoint was incident CKD (eGFR < 60 ml/min/1.73 m² and/or proteinuria for two consecutive years). Associations were assessed using Cox and logistic regression analysis with multivariate adjustments.

resultsThe baseline proportions of individuals with MHNO, MUNO, MHO, and MUO phenotypes were 35.6%, 17.5%, 18.3%, and 28.6%, respectively. After multivariate adjustment in Cox analyses, MUNO (HR:1.184; 95%CI:1.031-1.506) and MUO (HR:1.420; 95%CI:1.153-1.749) phenotypes were associated with incident CKD, with no such association in the MHO phenotype. However, in terms of transitions, compared with those with a consistent MHNO phenotype, those with a MHO phenotype evolving to a metabolically unhealthy status had higher incident CKD risk (HR:1.649; 95%CI:1.096-2.482).

conclusionOverweight/obesity and metabolic unhealthy status increase CKD risk; individuals with MHO who transition to metabolically unhealthy phenotypes have higher CKD risk than those consistently maintaining MHNO.

Indexed as

Chronic kidney diseaseCohort studyMetabolic syndromeObesity

Identifiers

PMID42298706
PMCPMC13501839

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