Clinical Report: Evaluating the Metabolic-Inflammatory Connection in CAD Risk
Overview
This study investigates the relationship between coronary inflammation, insulin resistance, and coronary heart disease (CHD) in patients with metabolic dysfunction-associated fatty liver disease (MAFLD). It highlights the predictive value of the triglyceride-glucose (TyG) index and pericoronary fat attenuation index (FAI) in assessing CHD risk.
Background
Metabolic dysfunction-associated fatty liver disease (MAFLD) is increasingly recognized as a systemic disease linked to cardiovascular health. The association between MAFLD and coronary heart disease (CHD) is significant, as cardiovascular disease has become the leading cause of death in MAFLD patients. Understanding the mechanisms linking these conditions is crucial for early identification and intervention.
Data Highlights
Measure
Value
ROC-AUC for nomogram
0.952 (95% CI 0.935–0.970)
AUC for predicting coronary functional ischemia
0.904 (95% CI 0.869–0.939)
Key Findings
TyG index and FAI are independent risk factors for CHD and coronary functional ischemia (P<0.05).
The nomogram integrating TyG index, FAI, and clinical variables showed excellent discrimination for identifying high-risk CHD patients (ROC-AUC 0.952).
FAI and TyG levels were positively correlated with the prevalence of CHD and functional ischemia.
RCS analysis indicated a linear positive correlation between TyG and FAI.
The nomogram outperformed single and combined indicators in predicting CHD risk (P<0.001).
Clinical Implications
The findings suggest that the TyG index and FAI can be utilized as effective tools for assessing CHD risk in patients with MAFLD. The developed nomogram may aid clinicians in early identification of patients at high risk for coronary ischemia.
Conclusion
The study underscores the importance of integrating metabolic and inflammatory markers in evaluating coronary disease risk in MAFLD patients. The nomogram developed provides a valuable tool for risk stratification.
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