A Simple Platelet-Centered Coagulation-Inflammation Combined Score for Predicting In-Hospital Mortality in Sepsis.

IF 2.7 3区 医学 Q2 CRITICAL CARE MEDICINE
SHOCK Pub Date : 2026-10-09 DOI:10.1097/SHK.0000000000002947
Xiaoling Li, Ziyang Cao, Zhen Lei, Lihong Liu, Wanqi Sun, Juan Chen, Xiaohong Wang
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Abstract

Objective: Accurate mortality prediction in sepsis requires assessing coagulation and inflammatory disturbances, yet existing scores are complex or incompletely capture these interconnected processes. We developed and internally validated a simple score combining inflammatory and platelet-related indicators with clinical parameters to predict in-hospital mortality in sepsis.

Methods: This retrospective study included 6175 adults with sepsis from the MIMIC-IV database. Patients were randomly divided into training (n=4322) and validation (n=1853) cohorts. Candidate predictors were screened by least absolute shrinkage and selection operator regression, and final variables entered multivariable logistic regression to construct the Coagulation-Inflammation Combined Score (CICS). Performance was assessed by discrimination, calibration, internal bootstrap validation, and decision curve analysis.

Results: Of 6175 patients, 807 (13.1%) died during hospitalization. The final CICS incorporated five routinely available variables: lactate, Glasgow Coma Scale score, age, neutrophil-to-lymphocyte ratio, and platelet count. Discrimination was good, with area under the receiver operating characteristic curve 0.768 (95% CI, 0.747-0.788) in training and 0.806 (95% CI, 0.776-0.835) in validation cohorts, comparable to SOFA (DeLong P=0.526 and P=0.180). Calibration was acceptable (Brier scores 0.102 and 0.091). Bootstrap validation indicated minimal optimism, and decision curve analysis showed exploratory findings across clinically relevant thresholds.

Conclusions: The CICS is a parsimonious prognostic score using five routinely available variables from the first 24 hours after ICU admission. It showed discrimination comparable to SOFA, acceptable calibration, and favorable decision-curve performance. CICS should be interpreted as a separate prognostic score for early ICU stratification once first-24-hour data are available, rather than for emergency department triage or ICU admission decisions.

以血小板为中心的凝血-炎症联合评分预测败血症住院死亡率
目的:准确预测脓毒症的死亡率需要评估凝血和炎症紊乱,然而现有的评分是复杂的或不完全捕获这些相互关联的过程。我们开发并内部验证了一种结合炎症和血小板相关指标与临床参数的简单评分,以预测败血症的住院死亡率。方法:这项回顾性研究包括6175名来自MIMIC-IV数据库的成人脓毒症患者。患者被随机分为训练组(n=4322)和验证组(n=1853)。通过最小绝对收缩和选择算子回归筛选候选预测因子,最终变量进入多变量logistic回归构建凝血-炎症联合评分(CICS)。通过鉴别、校准、内部自举验证和决策曲线分析来评估性能。结果:6175例患者中,807例(13.1%)在住院期间死亡。最终的CICS包括五个常规可用变量:乳酸、格拉斯哥昏迷评分、年龄、中性粒细胞与淋巴细胞比率和血小板计数。鉴别效果良好,训练队列的受试者工作特征曲线下面积为0.768 (95% CI, 0.747-0.788),验证队列的受试者工作特征曲线下面积为0.806 (95% CI, 0.776-0.835),与SOFA相当(DeLong P=0.526和P=0.180)。校正可接受(Brier评分为0.102和0.091)。Bootstrap验证显示了最小的乐观,决策曲线分析显示了跨越临床相关阈值的探索性发现。结论:CICS是一种简约的预后评分,从ICU入院后的前24小时开始使用5个常规可用变量。它具有与SOFA相当的辨别能力,可接受的校准和良好的决策曲线性能。CICS应被解释为早期ICU分层的单独预后评分,一旦有了第一个24小时的数据,而不是用于急诊科分诊或ICU入院决定。
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来源期刊
SHOCK
SHOCK 医学-外科
CiteScore
6.20
自引率
3.20%
发文量
199
审稿时长
1 months
期刊介绍: SHOCK®: Injury, Inflammation, and Sepsis: Laboratory and Clinical Approaches includes studies of novel therapeutic approaches, such as immunomodulation, gene therapy, nutrition, and others. The mission of the Journal is to foster and promote multidisciplinary studies, both experimental and clinical in nature, that critically examine the etiology, mechanisms and novel therapeutics of shock-related pathophysiological conditions. Its purpose is to excel as a vehicle for timely publication in the areas of basic and clinical studies of shock, trauma, sepsis, inflammation, ischemia, and related pathobiological states, with particular emphasis on the biologic mechanisms that determine the response to such injury. Making such information available will ultimately facilitate improved care of the traumatized or septic individual.
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