Bootstrap-Augmented Analysis of Non-Linear Associations Between Glucose, hsCRP, and First Myocardial Infarction in a...

Area of Science:

• Cardiology
• Biochemistry
• Clinical Research

Background:

• Myocardial infarction (MI) is a severe acute cardiac event, necessitating improved risk stratification in cardiovascular disease (CVD) patients.
• Early identification of individuals at risk for MI is critical for effective prevention and management strategies.

Purpose of the Study:

• To investigate the nonlinear distributions of glucose and high-sensitivity C-reactive protein (hsCRP) in first-time MI patients versus other CVD patients.
• To assess the discriminatory power of biochemical markers for MI occurrence using robust statistical methods.

Main Methods:

• Retrospective analysis of 743 adult CVD patients.
• Evaluation of biochemical variables including glucose, hsCRP, lipid profile, and eGFR.
• Application of bootstrap-augmented analysis for robust validation of findings.

Main Results:

• Serum glucose and hsCRP levels demonstrated the highest ability to differentiate between patients with and without MI.
• Both glucose and hsCRP exhibited significant nonlinear associations with MI occurrence, particularly in lower and intermediate concentration ranges.
• Bootstrap validation confirmed the stability and reliability of these observed associations.

Conclusions:

• Blood glucose and hsCRP levels show complex, non-linear relationships with the first occurrence of MI in CVD patients.
• Moderate concentrations of glucose and hsCRP were most distinct between MI-positive and MI-negative groups.
• These findings underscore the importance of considering nonlinear patterns of glucose and hsCRP for characterizing biochemical profiles in MI patients.