医学
败血症
重症监护室
生物标志物
内科学
曲线下面积
沙发评分
前瞻性队列研究
观察研究
临床终点
共病
预测值
试验预测值
重症监护医学
临床试验
化学
生物化学
作者
Qingli Dou,Jiangping Liu,Wenwu Zhang,Ching‐Wei Wang,Yanan Gu,Na Li,Rui Hu,Wan‐Ting Hsu,Amy Huang,Hoi Sin Tong,Tzu‐Chun Hsu,Cheng‐An Hsu,Jun Xu,Chien‐Chang Lee
标识
DOI:10.1038/s41598-022-14827-1
摘要
Abstract Heparin-binding protein (HBP) has been shown to be a robust predictor of the progression to organ dysfunction from sepsis, and we hypothesized that dynamic changes in HBP may reflect the severity of sepsis. We therefore aim to investigate the predictive value of baseline HBP, 24-h, and 48-h HBP change for prediction of 30-day mortality in adult patients with sepsis. This is a prospective observational study in an intensive care unit of a tertiary center. Patients aged 20 years or older who met SEPSIS-3 criteria were prospectively enrolled from August 2019 to January 2020. Plasma levels of HBP were measured at admission, 24 h, and 48 h and dynamic changes in HBP were calculated. The Primary endpoint was 30-day mortality. We tested whether the biomarkers could enhance the predictive accuracy of a multivariable predictive model. A total of 206 patients were included in the final analysis. 48-h HBP change (HBPc-48 h) had greater predictive accuracy of area under the curve (AUC: 0.82), followed by baseline HBP (0.79), PCT (0.72), lactate (0.71), and CRP (0.65), and HBPc-24 h (0.62). Incorporation of HBPc-48 h into a clinical prediction model significantly improved the AUC from 0.85 to 0.93. HBPc-48 h may assist clinicians with clinical outcome prediction in critically ill patients with sepsis and can improve the performance of a prediction model including age, SOFA score and Charlson comorbidity index.
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