ArticleBMC cardiovascular disorders2026
Prognostic value of the CRP-TyG index for in-hospital and 1-year mortality in patients with decompensated heart failure.
Article in BMC cardiovascular disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Beyond Traditional Risk Factors: The MAINER Approach to Atherosclerotic Cardiovascular Disease.Balkan medical journal · 2026Article
- Associations between C-reactive protein-triglyceride glucose index combined with anthropometric indices and mortality risk in individuals with cardiovascular-kidney-liver-metabolic syndrome: a national cohort study.BMC endocrine disorders · 2026Article
- Reply to the Letter to the Editor: "Remarkable Indices in Predicting Atherosclerotic Cardiovascular Disease".Anatolian journal of cardiology · 2026Article
- Association of Serum Calprotectin and the C-Reactive Protein-Triglyceride-Glucose Index with SYNTAX Score in Patients with Newly Diagnosed Coronary Artery Disease.Medicina (Kaunas, Lithuania) · 2026Article
- Remarkable Indices in Predicting Atherosclerotic Cardiovascular Disease.Anatolian journal of cardiology · 2026Article
- Pan-Immune-Inflammation Value as a Novel Predictor of Contrast-Associated Acute Kidney Injury in Patients Treated with Primary PCI for STEMI.Journal of clinical medicine · 2026Article
- C-reactive protein in cardiovascular disease: clinical associations, conformation-dependent biology, and therapeutic perspectives.Frontiers in immunology · 2026Review
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Abstract
objectiveIn 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.
methodsIn 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 × 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.
resultsIn-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) .
conclusionAdmission 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.
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