Adding novel lipid biomarkers and the TyG index to conventional risk models significantly improved ischemic stroke risk stratification in diabetic STEMI patients (p<0.05).
Does the addition of novel lipid biomarkers and the TyG index to conventional lipid parameters improve risk stratification for incident ischemic stroke in patients with STEMI?
Incorporating novel lipid biomarkers and the TyG index into traditional risk models significantly improves the prediction of ischemic stroke in STEMI patients, particularly those with diabetes.
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Abstract Introduction Abnormalities in glucose and lipid metabolism are prevalent among individuals suffering from myocardial infarction, with insulin resistance playing an integral role in these pathological processes. Objectives This study aims to follow up on incident ischemic stroke events to evaluate whether any alterations in risk estimation merit a reassessment of therapeutic strategies. Herein, we present findings derived from a prospective cohort engaged in this ongoing investigation. Patients and methods In our extensive analysis, three novel lipid biomarkers—namely proprotein convertase subtilisin/kexin type 9, fatty acid-binding protein 4, and Resolvin D1—emanating from diverse pathophysiological pathways were meticulously evaluated alongside six conventional lipid parameters within a population cohort comprising 1580 individuals, both diabetic and non-diabetic. Resluts 1) Furthermore, among DM patients, group 1 (0-1 lipid parameters increased) and group 2 (2-4 lipid parameters increased) had significantly better ischemic stroke-free survival than other groups (p=0.025) when TyG index ≥median. 2) Adding novel lipid associated parameters and TyG index to the conventional lipid risk factors model in the cohort validated it by improved net reclassification index (p＜0.05) and integrated discrimination improvement and led to significant reclassification of individuals into risk categories. Conclusion The incorporation of a biomarker score that encompasses innovative lipid-associated biomarkers alongside the TyG index into a traditional risk assessment framework significantly enhanced the evaluation of ischemic stroke events within myocardial infarction populations afflicted by diabetes mellitus.flow chart prevalence of biomarkers among DM
Zhao et al. (Sat,) reported a other. Adding novel lipid biomarkers and the TyG index to conventional risk models significantly improved ischemic stroke risk stratification in diabetic STEMI patients (p<0.05).