A CD36-based prediction model for sepsis-induced myocardial injury

基于 CD36 的脓毒症心肌损伤预测模型

阅读:7
作者:Yun Xie, Hui Lv, Daonan Chen, Peijie Huang, Zhigang Zhou, Ruilan Wang

Background

Sepsis-induced myocardial injury (SIMI) is a prevalent form of organ dysfunction with a significant impact on the mortality rate among sepsis patients. This study aims to develop a predictive model for SIMI using plasma CD36 levels.

Conclusion

The prognosis of individuals with sepsis is closely associated with elevated CD36 levels. Elevated CD36 is identified as an independent risk factor for both SIMI and mortality in sepsis patients. The predictive model suggests that high CD36 levels are indicative of SIMI and are associated with a poor prognosis.

Methods

A prospective study was conducted from January 1, 2023, to December 1, 2023, involving sepsis patients admitted to the Department of Intensive Care Medicine at Shanghai General Hospital. Plasma CD36 levels were measured within 48 h of ICU admission, prior to the diagnosis of sepsis-associated myocardial injury. Myocardial damage was assessed using troponin levels.

Results

Two significant risk factors for SIMI were identified: age and elevated CD36 levels. CD36, THBS1, and BNP were determined to be independent mortality risk factors. The myocardial injury group exhibited higher plasma CD36 levels compared to the non-injury group. Additionally, the deceased group had higher plasma CD36 levels than the survivors. No significant differences in CD36 levels were observed between groups with lung and stomach infections or between Gram-positive and Gram-negative infection groups. Similarly, there was no statistically significant difference in CD36 levels between surgical and medical patients. A predictive model for SIMI was formulated as follows: ln [P/(1-P)] = -0.000818age + 0.4975756CD36 - 5.400293. The model's quality of fit was tested with a P-value of 0.4682, indicating a good degree of discrimination and calibration, as evidenced by the area under the ROC curve (0.7724).

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。