Prognostic stratification with composite insulin resistance-inflammation biomarkers in patients with chronic kidney disease and coronary artery disease across glycemic statuses - PubMed
6 hours ago
- #biomarkers
- #cardiovascular risk
- #glycemic status
- Composite biomarkers integrating insulin resistance (IR) and inflammation (e.g., TyG-hsCRP, TyG-CRP, CTI) improve mortality prediction in CKD and CAD patients.
- CTI showed the strongest association with all-cause (HR 1.43) and CVD mortality (HR 1.32), especially in diabetic patients.
- Risk stratification combining CTI and glycemic status identified diabetic patients with high CTI as having the highest mortality risk (HR 1.63 for all-cause death).
- The study included 1,353 patients from NHANES (1999–2018), with median 63-month follow-up and 744 all-cause/323 CVD deaths.
- CTI provided good discrimination (AUC 0.700) and reclassification (IDI 0.010, NRI 0.196) for mortality prediction.
- Predictive utility of composite biomarkers varied by glycemic status, with CTI remaining significant in normoglycemic/prediabetic patients.