Song Juhyun, Moon Sungwoo, Park Dae Won, Cho Han-Jin, Kim Joo Yeong, Park Jonghak, Cha Jae Hyung
Department of Emergency Medicine, Korea University Ansan Hospital.
National Emergency Medical Center, National Medical Center, Seoul.
Medicine (Baltimore). 2020 May 29;99(22):e20495. doi: 10.1097/MD.0000000000020495.
Biomarkers are valuable tools for the prediction of mortality in patients with sepsis. However, the use of a single biomarker to predict patient outcomes is challenging owing to the complexity and redundancy of the immune response to infections.We aimed to conduct a prospective observational analysis to investigate the prognostic value of pentraxin 3, interleukin 6, procalcitonin, and lactate combined in predicting the 28-day mortality rate in patients with sepsis or septic shock (n = 160; sepsis, 78; sepsis shock, 82). Two methods (the frequency sum of values above the cutoff, and the multivariate logistic regression model) were used to assess the prognostic value of the biomarker combination.In the receiver operating characteristic curve analyses, the combination of the 4 biomarkers was better than the Sequential Organ Failure Assessment (SOFA) score in predicting the 28-day mortality rate, regardless of whether the frequency sum of values above the cutoff or the multivariate logistic model was used for the analysis. The addition of the SOFA score to the biomarker combination did not result in a better performance for the prediction of mortality.The combined biomarker approach showed good performance in predicting 28-day all-cause mortality among patients diagnosed with either sepsis or septic shock according to the Sepsis-3 definitions. Furthermore, it was superior to the SOFA score in predicting mortality.
生物标志物是预测脓毒症患者死亡率的重要工具。然而,由于对感染的免疫反应具有复杂性和冗余性,使用单一生物标志物来预测患者预后具有挑战性。我们旨在进行一项前瞻性观察分析,以研究联合检测五聚体3、白细胞介素6、降钙素原和乳酸对脓毒症或脓毒性休克患者(n = 160;脓毒症78例,脓毒性休克82例)28天死亡率的预测价值。使用两种方法(高于临界值的数值频率总和以及多变量逻辑回归模型)来评估生物标志物组合的预后价值。在受试者工作特征曲线分析中,无论使用高于临界值的数值频率总和还是多变量逻辑模型进行分析,这4种生物标志物的组合在预测28天死亡率方面均优于序贯器官衰竭评估(SOFA)评分。将SOFA评分添加到生物标志物组合中并不能提高死亡率预测性能。根据脓毒症-3定义,联合生物标志物方法在预测脓毒症或脓毒性休克患者28天全因死亡率方面表现良好。此外,在预测死亡率方面,它优于SOFA评分。