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[严重创伤患者多器官功能障碍综合征预警评分的建立及其临床意义:一项多中心研究]

[Establishment of multiple organ dysfunction syndrome early warning score in patients with severe trauma and its clinical significance: a multicenter study].

作者信息

Huang Wenjuan, Qin Song, Sun Yu, Yin Shangqi, Fan Xia, Huang Qi, Chen Tao, Liang Huaping

机构信息

Department of Intensive Care Unit, Affiliated Hospital of Zunyi Medical College, Zunyi 563003, Guizhou, China (Huang WJ, Qin S, Huang Q, Chen T); First Department, Institute of Surgery, Daping Hospital, Third Military Medical University, Chongqing 400042, China (Sun Y, Yin SQ, Fan X, Liang HP). Corresponding author: Liang Huaping, Email:

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2018 Jan;30(1):41-46. doi: 10.3760/cma.j.issn.2095-4352.2018.01.008.

DOI:10.3760/cma.j.issn.2095-4352.2018.01.008
PMID:29308756
Abstract

OBJECTIVE

To explore the risk factors of multiple organ dysfunction syndrome (MODS) in severe trauma patients, put forward a new warning scoring system of MODS, and to provide a more accurate scoring method for doctors to judge the clinical condition and prognosis of patients.

METHODS

Clinical data of 342 patients with severe trauma admitted to intensive care unit (ICU) of the Affiliated Hospital of Zunyi Medical College and Daping Hospital of the Third Military Medical University from January 1st, 2015 to December 31st, 2016 were retrospectively analyzed. The patients were divided into MODS groups (n = 251) and non-MODS group (n = 91) according to clinical outcomes. The clinical data of patients, including gender, age, heart rate (HR) and blood pressure within 24 hours after admission to the hospital, indicators of blood routine and blood biochemistry, severity of disease, severity of trauma, whether received the emergency intubation or surgery within 24 hours or not, whether developed sepsis or acute respiratory distress syndrome (ARDS) during hospitalization, were recorded, and univariate analysis was conducted. The indicators with statistical significance found by univariate analysis were enrolled in multivariate Logistic regression analysis, and the risk factors for MODS in patients with severe trauma were screened and assigned, and the final total score was MODS warning score. Receiver operating characteristic (ROC) curve was plotted to evaluate MODS warning score for predicting the occurrence of MODS in patients with severe trauma.

RESULTS

Compared with non-MODS group, HR, Na, serum creatinine (SCr), activated partial thromboplastin time (APTT), injury severity score (ISS), new injury severity score (NISS), acute physiology and chronic health evaluation II (APACHE II) score and sequential organ failure assessment (SOFA) score in MODS group were significantly increased, pH value, red blood cell (RBC), platelet (PLT), albumin (Alb) and Glasgow coma score (GCS) were remarkably decreased, and multiple injury, the patients with shock at admission, blood transfusion, central venous catheter, emergency intubation and infection were also increased, and more patients suffered from sepsis and ARDS. Multivariate Logistic regression analysis showed that the number of injured places equal or more than 2, shock at admission, APACHE II score ≥ 15, SOFA score ≥ 4 and APTT > 40 s were risk factors for MODS in patients with severe trauma, with total MODS warning score of 7.5. ROC curve analysis showed that the area under ROC curve (AUC) of MODS warning score for predicting MODS in patients with severe trauma was 0.822, which was significantly higher than that of APACHE II score (AUC = 0.698, P < 0.001), APTT (AUC = 0.693, P < 0.001) and SOFA score (AUC = 0.770, P = 0.025). When the cut-off value of MODS warning score was 2.5, the sensitivity was 61.35%, the specificity was 90.11%, and Youden index was 0.515.

CONCLUSIONS

MODS warning score is composed of five factors, including the number of injured places, shock at admission, APACHE II score, SOFA score and APTT, which could be regarded as early warning score system for predicting MODS in patients with severe trauma. MODS warning score can be more comprehensive and timely to assess the possibility of MODS and prognosis of patients with severe trauma, and the prediction result is better than the single use of APTT, APACHE II or SOFA score.

摘要

目的

探讨严重创伤患者多器官功能障碍综合征(MODS)的危险因素,提出一种新的MODS预警评分系统,为医生判断患者临床病情及预后提供更准确的评分方法。

方法

回顾性分析2015年1月1日至2016年12月31日遵义医学院附属医院及第三军医大学大坪医院重症监护病房(ICU)收治的342例严重创伤患者的临床资料。根据临床结局将患者分为MODS组(n = 251)和非MODS组(n = 91)。记录患者的临床资料,包括性别、年龄、入院后24小时内的心率(HR)和血压、血常规及血生化指标、疾病严重程度、创伤严重程度、入院后24小时内是否接受紧急插管或手术、住院期间是否发生脓毒症或急性呼吸窘迫综合征(ARDS),并进行单因素分析。将单因素分析中有统计学意义的指标纳入多因素Logistic回归分析,筛选并赋值严重创伤患者发生MODS的危险因素,最终总分即为MODS预警评分。绘制受试者工作特征(ROC)曲线,评估MODS预警评分对严重创伤患者发生MODS的预测价值。

结果

与非MODS组相比,MODS组的HR、Na、血清肌酐(SCr)、活化部分凝血活酶时间(APTT)、损伤严重度评分(ISS)、新损伤严重度评分(NISS)、急性生理与慢性健康状况评价II(APACHE II)评分及序贯器官衰竭评估(SOFA)评分显著升高,pH值、红细胞(RBC)、血小板(PLT)、白蛋白(Alb)及格拉斯哥昏迷评分(GCS)显著降低,多发伤、入院时休克、输血、中心静脉置管、紧急插管及感染的患者也增多,且更多患者发生脓毒症和ARDS。多因素Logistic回归分析显示,受伤部位数≥2个、入院时休克、APACHE II评分≥15分、SOFA评分≥4分及APTT>40 s是严重创伤患者发生MODS的危险因素,MODS预警总分为7.5分。ROC曲线分析显示,MODS预警评分预测严重创伤患者发生MODS的曲线下面积(AUC)为0.822,显著高于APACHE II评分(AUC = 0.698,P < 0.001)、APTT(AUC = 0.693,P < 0.001)及SOFA评分(AUC = 0.770,P = 0.025)。当MODS预警评分的截断值为2.5时,敏感度为61.35%,特异度为90.11%,约登指数为0.515。

结论

MODS预警评分由受伤部位数、入院时休克、APACHE II评分、SOFA评分及APTT五个因素组成,可作为严重创伤患者发生MODS的早期预警评分系统。MODS预警评分能更全面、及时地评估严重创伤患者发生MODS的可能性及预后,预测效果优于单独使用APTT、APACHE II或SOFA评分。

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