Objective:

To determine if increased cumulative modified cardiometabolic index (cumMCMI) correlates specifically with higher cardiovascular disease (CVD) rates.

Key Findings:

• The Q4 group exhibited the highest hazard ratio (HR 1.51, 95%CI 1.13–2.00, P = 0.005), indicating cumMCMI as a CVD risk factor.
• RCS analysis showed a linear positive correlation (P for overall = 0.015, P for nonlinearity = 0.737).
• Subgroup analyses indicated higher risks for individuals with lower education and married individuals (P for interaction < 0.05).

Interpretation:

Cumulative MCMI is independently linked to CVD, suggesting its potential role in CVD stratification and early warning, which could inform clinical decision-making.

Limitations:

• The study's reliance on self-reported physician diagnoses for CVD outcomes may introduce reporting bias, which could affect the accuracy of the findings.
• Further validation is needed to confirm the findings across diverse populations to ensure generalizability.

Conclusion:

Cumulative MCMI could aid in identifying individuals at risk for CVD, although factors like education and marital status may influence this relationship; future research should explore these dynamics further.