Scholarlink

Objective <p>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.</p> Methods <p>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 × 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.</p> Results <p>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 &gt;5.5 (95% CI 0.72–0.84, p&lt;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) .</p> Conclusion <p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Prognostic value of the CRP–TyG index for in-hospital and 1-year mortality in patients with decompensated heart failure

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年1月5日

查看全文
  • Çağlar Kaya,
  • Cihan Öztürk

摘要

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 × 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.