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[重型颅脑损伤患者深静脉血栓形成的发病率及危险因素分析]

[Incidence and risk factor analysis of deep venous thrombosis in patients with severe traumatic brain injury].

作者信息

Yang Tianjun, Wei Gang, Zhu ChunYan, Pan Aijun

机构信息

Department of ICU, the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei 230009, Anhui, China.

Department of ICU, Shannan City People's Hospital, Shannan 856000, Tibet autonomous region, China. Corresponding author: Yang Tianjun, Email:

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2019 Feb;31(2):182-186. doi: 10.3760/cma.j.issn.2095-4352.2019.02.012.

DOI:10.3760/cma.j.issn.2095-4352.2019.02.012
PMID:30827306
Abstract

OBJECTIVE

To estimate the incidence and risk factors for deep venous thrombosis (DVT) in patients with severe traumatic brain injury (TBI) treated in the intensive care unit (ICU).

METHODS

105 patients with TBI admitted to the First Affiliated Hospital of University of Science and Technology of China from January 2016 to June 2018 were enrolled [Glasgow coma scale (GCS) 3-8; concise injury score for other parts ≤ 3]. All patients did not receive any medication or physical measures to prevent DVT during hospitalization. Bilateral compression Doppler ultrasounds of the double lower limbs and upper limbs were performed to clarify the occurrence of DVT on the first day of admission and twice a week until ICU discharge or the death of patient. The examination was performed by a senior ultrasound doctor. It was defined as DVT as long as any deep vein had thrombosis. Patients were divided into two groups according to whether DVT occurred or not during hospitalization. Clinical data such as body mass index (BMI), coagulation index, platelet count (PLT) and deep venous catheterization were obtained from the clinical chemistry laboratory database and patient files. Logistic regression was used to analyze the risk factors of DVT. Binary Logistic regression was used to calculate the predictive probability of risk factors. The predictive value of risk factors and predictive probability to the occurrence of DVT was analyzed by receiver operating characteristic (ROC) curve.

RESULTS

In 105 patients with simple TBI, 42 patients developed DVT during hospitalization, and the incidence of DVT was 40%. Univariate Logistic regression showed that high BMI [odds ratio (OR) = 1.490, 95% confidence interval (95%CI) = 1.174-1.891, P = 0.001], high PLT (OR = 1.023, 95%CI = 1.006-1.040, P = 0.007), shorten activated partial thromboplastin time (APTT; OR = 0.913, 95%CI = 0.853-0.978, P = 0.010) and catheterization in deep vein (OR = 0.114, 95%CI = 0.026-0.493, P = 0.004) were risk factors for DVT. It was shown by multivariate regression analysis that high BMI (OR = 1.378, 95%CI = 1.411-1.665, P = 0.001), high PLT (OR = 1.017, 95%CI = 1.003-1.032, P = 0.020), low APTT (OR = 0.920, 95%CI = 0.860-0.982, P = 0.012) and catheterization in deep vein (OR = 0.113, 95%CI = 0.029-0.443, P = 0.002) were independent risk factors for DVT. The predictive probability formula: Logit P = -4.673+0.321×BMI-0.083×APTT+0.017×PLT-2.181×catheterization in deep vein. It was shown by ROC curve analysis that high BMI, high PLT, low APTT and catheterization in deep vein could predict the occurrence of DVT in severe TBI patients, and the area under ROC curve (AUC) was 0.775, 0.709, 0.709 and 0.680, respectively. The AUC of prediction probability was 0.890, and its sensitivity and specificity were respectively increased to 88.10% and 85.71%.

CONCLUSIONS

The incidence of DVT was higher in patients with simple severe TBI. High coagulation, high BMI, high PLT and catheterization in deep vein are the independent risk factors for DVT.

摘要

目的

评估在重症监护病房(ICU)接受治疗的重型颅脑损伤(TBI)患者深静脉血栓形成(DVT)的发生率及危险因素。

方法

选取2016年1月至2018年6月在中国科学技术大学附属第一医院收治的105例TBI患者[格拉斯哥昏迷量表(GCS)评分3 - 8分;其他部位简明损伤评分≤3分]。所有患者在住院期间未接受任何预防DVT的药物或物理措施。入院首日及每周两次直至ICU出院或患者死亡,均行双侧下肢及上肢压迫式多普勒超声检查以明确DVT的发生情况。检查由资深超声医生进行。只要有任何深静脉发生血栓即定义为DVT。根据住院期间是否发生DVT将患者分为两组。从临床化学实验室数据库和患者病历中获取体重指数(BMI)、凝血指标、血小板计数(PLT)及深静脉置管等临床资料。采用Logistic回归分析DVT的危险因素。采用二元Logistic回归计算危险因素的预测概率。通过受试者工作特征(ROC)曲线分析危险因素及预测概率对DVT发生的预测价值。

结果

105例单纯TBI患者中,42例在住院期间发生DVT,DVT发生率为40%。单因素Logistic回归显示,高BMI[比值比(OR)=1.490,95%置信区间(95%CI)=1.174 - 1.891,P = 0.001]、高PLT(OR = 1.023,95%CI = 1.006 - 1.040,P = 0.007)、活化部分凝血活酶时间(APTT)缩短(OR = 0.913,95%CI = 0.853 - 0.978,P = 0.010)及深静脉置管(OR = 0.114,95%CI = 0.026 - 0.493,P = 0.004)是DVT的危险因素。多因素回归分析显示,高BMI(OR = 1.378,95%CI = 1.411 - 1.665,P = 0.001)、高PLT(OR = 1.017,95%CI = 1.003 - 1.032,P = 0.020)、低APTT(OR = 0.920,95%CI = 0.860 - 0.982,P = 0.012)及深静脉置管(OR = 0.113,95%CI = 0.029 - 0.443,P = 0.002)是DVT的独立危险因素。预测概率公式:Logit P = -4.673 + 0.321×BMI - 0.083×APTT + 0.017×PLT - 2.181×深静脉置管。ROC曲线分析显示,高BMI、高PLT、低APTT及深静脉置管可预测重型TBI患者DVT的发生,ROC曲线下面积(AUC)分别为0.775、0.709、0.709及0.680。预测概率的AUC为0.890,其敏感性和特异性分别提高至88.10%和85.71%。

结论

单纯重型TBI患者DVT发生率较高。高凝状态、高BMI、高PLT及深静脉置管是DVT的独立危险因素。

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