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Modified cardiometabolic index predicts mortality in adults with cardiovascular-kidney-metabolic syndrome better than traditional indices.

Modified cardiometabolic index predicts mortality in adults with cardiovascular-kidney-metabolic syn…
Photo by Joshua Chehov / Unsplash
Key Takeaway
Consider the MCMI as a potential risk stratification tool, noting its superior predictive performance over traditional indices in this cohort.

This prospective cohort study analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. The population consisted of 5,189 adults with cardiovascular-kidney-metabolic syndrome (CKM) across stages 0 to 4. Researchers compared the modified cardiometabolic index (MCMI) against traditional indices, specifically the cardiometabolic index (CMI) and triglyceride-glucose index (TyG). The primary outcomes included associations with CKM staging, all-cause mortality, and cardiovascular mortality, with secondary outcomes evaluating predictive performance.

During the median 10.4-year follow-up, the MCMI showed a nonlinear association with CKM staging, described as a decelerating increase with an adjusted odds ratio of 3.90 (95% CI: 3.38-4.50). For all-cause mortality, an MCMI greater than 3.5 exhibited a threshold effect; compared to the first quartile, the fourth quartile had a hazard ratio of 1.412 (95% CI: 1.046-1.907). After extensive adjustments, the MCMI remained independently associated with all-cause mortality, with a hazard ratio of 1.22 (95% CI: 1.05-1.40).

Regarding cardiovascular mortality, the MCMI displayed a fluctuating nonlinear pattern, identifying low-risk intervals between 3.0 and 3.5, and high-risk intervals below 2.5 or above 4.0. When accounting for competing risks, the study noted a substantial underestimation of true effects, with a subdistribution hazard ratio of 3.25 (trend P<0.001) for the highest versus lowest quartile. In terms of predictive performance, the MCMI demonstrated superior capability over CMI and TyG, with a mean area under the curve difference of 0.0243.

No adverse events, serious adverse events, discontinuations, or tolerability data were reported, as the MCMI is a calculated index rather than a therapeutic intervention. Key limitations include the observational nature of the study, which precludes causal conclusions about the index itself, and the reliance on NHANES data. Mediation analysis indicated that diabetes mediated 45.5% of the MCMI-cardiovascular mortality risk. While the MCMI may serve as a clinical cut-off for risk stratification, these findings require validation in diverse clinical settings before altering practice.

Study Details

Study typeCohort
EvidenceLevel 3
PublishedMar 2026
View Original Abstract ↓
ObjectiveTo investigate the association of the modified cardiometabolic index (MCMI) with cardiovascular-kidney-metabolic (CKM) syndrome staging, all-cause and cardiovascular mortality, and compare its predictive performance with traditional indices. MethodsThis prospective cohort study included 5,189 adults with CKM syndrome (stages 0-4) from NHANES 1999-2018 (median follow-up 10.4 years). Associations were assessed using polynomial/ordinal logistic regression, Cox models, and restricted cubic splines. Mediation analysis explored diabetes role. Competing risks (Fine-Gray), E-values, and sensitivity analyses ensured robustness. Predictive performance was compared using C-index and AUC. ResultsMCMI showed a "decelerating increase" nonlinear association with CKM staging (adjusted OR=3.90, 95%CI: 3.38-4.50). For all-cause mortality, MCMI>3.5 exhibited a threshold effect (Q4 vs Q1: HR=1.412, 1.046-1.907); RCS curves identified MCMI<3.5 as a safety interval. For cardiovascular mortality, MCMI showed a fluctuating nonlinear pattern with low-risk (3.0-3.5) and high-risk (<2.5 or >4.0) intervals. Diabetes mediated 45.5% of MCMI-cardiovascular mortality risk (total HR=1.374, indirect HR=1.141). Competing risks revealed substantial underestimation of true effects (Q4 vs Q1 sHR=3.25, trend P<0.001). MCMI remained independently associated with all-cause mortality after extensive adjustments (HR=1.22, 1.05-1.40); E-values (1.73/1.29) indicated robustness. MCMI demonstrated superior predictive performance over CMI and TyG (mean AUC difference 0.0243). ConclusionsMCMI is an independent predictor of CKM progression and mortality. Its cardiovascular mortality risk is predominantly mediated by diabetes. MCMI>3.5 may serve as a clinical cut-off, outperforming traditional metabolic indices for CKM risk stratification.
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