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<p>Myocardial markers and inflammatory factors have been identified as risk factors for the development of sepsis-induced cardiac dysfunction (SIC), the prognostic significance and clinical utility of utilizing a multi-index combined prognostic approach remain uncertain. Our objective was to establish a “risk score” utilizing clinical indexes to provide short-term prognostic insight for individuals with SIC. Utilizing Lasso regression and COX regression analysis, we identified a history of diabetes, CRP, and NT-proBNP on day 3 as independent risk factors for 28-day mortality in SIC patients. Specifically, the Cox regression analysis identified a hazard ratio of 24.74 (95% CI: 5.90–103.71) for the high-risk group. The prognostic thresholds for CRP and NT-proBNP were determined to be 83.3&#xa0;mg/L and 1720.7&#xa0;ng/L, respectively. In conclusion, a “risk score” predictive model incorporating diabetes history, CRP, and NT-proBNP was developed to assess 28-day mortality in patients with SIC.</p> Graphical Abstract <p></p>

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Identification of Prognostic Factors for Sepsis or Septic Shock Patients with Cardiac Dysfunction

  • 期刊论文

  • 发表日期：

    2025年7月5日

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  • Jinsheng Tian,
  • Yan Liu,
  • Yutong Zhao,
  • Zengrong Wang,
  • Lili Wang

摘要

Myocardial markers and inflammatory factors have been identified as risk factors for the development of sepsis-induced cardiac dysfunction (SIC), the prognostic significance and clinical utility of utilizing a multi-index combined prognostic approach remain uncertain. Our objective was to establish a “risk score” utilizing clinical indexes to provide short-term prognostic insight for individuals with SIC. Utilizing Lasso regression and COX regression analysis, we identified a history of diabetes, CRP, and NT-proBNP on day 3 as independent risk factors for 28-day mortality in SIC patients. Specifically, the Cox regression analysis identified a hazard ratio of 24.74 (95% CI: 5.90–103.71) for the high-risk group. The prognostic thresholds for CRP and NT-proBNP were determined to be 83.3 mg/L and 1720.7 ng/L, respectively. In conclusion, a “risk score” predictive model incorporating diabetes history, CRP, and NT-proBNP was developed to assess 28-day mortality in patients with SIC.

Graphical Abstract