Evidence mapPaperPMID 42069607Full record

ArticleCardiovascular diabetology2026

Joint association of atherogenic index of plasma and estimated glucose disposal rate with new-onset cardiovascular disease risk in individuals with cardiovascular-kidney-metabolic syndrome stages 0-3: a 9-year nationwide prospective cohort study.

Yuhang Fan, Zhibo Si, Miaomiao Wei, Yumeng Gu, Xin Li

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Article in Cardiovascular diabetology, 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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5 authors.

Yuhang FanDepartment of Geriatrics, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Zhibo SiDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, 130000, China.
Miaomiao WeiDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Yumeng GuDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
Xin LiDepartment of Neurology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China. lixinsci@126.com.

Funding

Key Projects of Tianjin Municipal Health Commission TJWJ2023XK007National Natural Science Foundation of China 42275197
6 · The paper itself

Abstract

backgroundThe atherogenic index of plasma (AIP) and estimated glucose disposal rate (eGDR) are two composite indices derived from routine metabolic measurements and are associated with cardiocerebrovascular disease risk. In individuals with Cardiovascular-Kidney-Metabolic (CKM) syndrome stages 0-3, however, it remains unclear whether joint stratification by these markers helps summarize gradients of cardiovascular disease, heart disease, and stroke risk beyond single-marker assessment.

methodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS), 5,925 participants without CVD at the start and in CKM stages 0-3 were analyzed. Participants were grouped by median AIP and/or eGDR values. Kaplan-Meier curves and Cox models assessed the link between these indicators and new CVD, heart disease, and stroke cases. Furthermore, both multiplicative and additive interactions between AIP and eGDR were assessed. The predictive value was assessed using the time-dependent Harrell's C index, integrated discrimination improvement (IDI), and net reclassification improvement (NRI).

resultsA cohort of 5,925 participants aged 45 years and older (mean age: 57.92 ± 8.52 years) was analyzed, with 54.65% of the cohort being female. During the nine-year follow-up period, 1,467 (24.76%) participants developed incident CVD, including 1,106 (18.67%) with heart disease and 525 (8.86%) with stroke. The high AIP and low eGDR group had the highest risk, with CVD hazard ratios (HRs) of 1.35 (95% CI 1.14-1.59), heart disease HRs of 1.32 (95% CI 1.08-1.62), and stroke HRs of 1.59 (95% CI 1.19-2.12), using the low AIP and high eGDR group as the reference. Neither multiplicative nor additive interaction was statistically significant. The combined application of AIP and eGDR provided a modest improvement in predictive capability for cardiovascular disease, heart disease, and stroke.

conclusionIn individuals with CKM stages 0-3, combined AIP and eGDR stratification captured gradients of cardiovascular risk. The combined application of these indicators may provide modest incremental value for risk stratification within CKM stages, thereby aiding in the identification of high-risk individuals during the early stages of CKM.

Indexed as

AtherosclerosisBlood GlucoseCardiovascular DiseasesKidney DiseasesMetabolic SyndromeAgedBiomarkersChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsPrognosisBiomarkersBlood GlucoseAtherogenic index of plasmaCardiovascular diseaseCardiovascular–kidney–metabolic syndromeEstimated glucose disposal rate

Identifiers

PMID42069607
PMCPMC13285307

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