Akademik Veri Yönetim Sistemi
BMC CARDIOVASCULAR DISORDERS, cilt.26, sa.1, 2026 (SCI-Expanded, Scopus)
Objective In heart failure (HF), inflammation and insulin resistance are known to be associated with mortality. C-reactive protein (CRP) reflects systemic inflammation, while the triglyceride-glucose (TyG) index reflects insulin resistance. The combination of these two variables, the CRP-TyG index (CTI), provides an integrated measure of inflammatory-metabolic burden. This study aimed to investigate whether CTI predicts short-term (in-hospital) and mid-term (1-year) mortality in patients with decompensated HF (DHF) admitted to the coronary care unit. Methods In this single-center, retrospective study, 170 consecutive patients hospitalized with DHF in the CCU within one year were included. The primary outcomes were in-hospital and 1-year mortality. CTI was calculated from admission laboratory tests using the formula CTI = 0.412 x ln(CRP) + TyG. Patients were classified as "deceased" or "survivor." For short-term outcomes, multivariable logistic regression and receiver operating characteristic (ROC) curve analysis were performed to assess predictive power. Results In-hospital mortality occurred in 31 patients (18.2%), and 1-year mortality was in 57 patients (33.5%). CTI was significantly higher in both the in-hospital and 1-year mortality groups. In the multivariable model, CTI was identified as an independent predictor of in-hospital mortality (OR 5.31, 95% CI 1.24-22.75; p=0.024), while the prognostic nutritional index was an independent protective factor (OR 0.88, 95% CI 0.82-0.95; p=0.001). ROC analysis for CTI showed an area under the curve (AUC) of 0.79, with an optimal cut-off value of >5.5 (95% CI 0.72-0.84, p<0.001). In Kaplan-Meier analysis, higher CTI groups were associated with reduced 1-year survival (log-rank p=0.036), and multivariable Cox regression confirmed higher CTI values as an independent risk factor (OR: 2,4, CI%95: 1.19-4.83) . Conclusion Admission CTI values independently predict in-hospital mortality in CCU patients with DHF and are also significantly associated with 1-year mortality. With its simple and accessible components, CTI may serve as a practical parameter for early risk assessment in the intensive care setting.