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[危重症患者中心静脉导管相关血栓形成的危险因素分析及列线图预测模型的构建]

[Risk factors analysis of central venous catheter-related thrombosis in critically ill patients and development of nomogram prediction model].

作者信息

Wang Ning, Guo Zhenjiang, Zhang Yuanyuan, Wang Jing, Guo Wei, Wang Jinrong, Cui Zhaobo

机构信息

Department of Respiratory and Critical Care Medicine, Hengshui People's Hospital, Hengshui 053000, Hebei, China.

Department of Gastrointestinal Surgery, Hengshui People's Hospital, Hengshui 053000, Hebei, China.

出版信息

Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2021 Sep;33(9):1047-1051. doi: 10.3760/cma.j.cn121430-20210712-01044.

DOI:10.3760/cma.j.cn121430-20210712-01044
PMID:34839859
Abstract

OBJECTIVE

To analyze the risk factors of central venous catheter-related thrombosis (CRT) in critically ill patients and develop the model of a nomogram.

METHODS

A prospective investigation study was conducted on 385 critically ill patients who received central venous catheters during hospitalization in Hengshui People's Hospital from May 2018 to March 2021. Color Doppler ultrasonography was performed daily after catheterization. Patients were divided into thrombosis group and non-thrombosis group according to whether CRT was formed. The patient's gender, age, body mass index (BMI), acute physiology and chronic health evaluation II (APACHE II) score, complications, existing tumor, D-dimer level on the 3rd day after catheterization, maximum velocity of right internal jugular vein on the 3rd day after catheterization, mechanical ventilation time, and catheter indwelling time were recorded, and the differences of above indexes between the two groups were compared. Multivariate Logistic regression was performed on the influencing factors with statistical differences between the two groups to establish the nomogram prediction. The receiver operator characteristic curve (ROC curve) and calibration curve were used to evaluate the predictive power of the model.

RESULTS

The incidence of central venous CRT in critically ill patients was 16.1% (62/385). Compared with non-thrombosis patients, the thrombosis group patients had higher APACHE II score, the proportion of existing tumor, and D-dimer level on the 3rd day after catheterization [APACHE II score: 17 (15, 19) vs. 15 (12, 18), the proportion of existing tumor: 51.6% (32/62) vs. 35.3% (114/323), D-dimer (mg/L): 0.84 (0.64, 0.94) vs. 0.57 (0.44, 0.76), all P < 0.05], the maximum flow rate of right internal jugular vein was slower on the 3rd day after catheterization [cm/s: 14 (13, 15) vs. 16 (14, 18), P < 0.05]. Univariate analysis showed that high APACHE II score, critical patients with existing tumor, high D-dimer level on the 3rd day after catheterization, and slow maximum flow rate of right internal jugular vein on the 3rd day after catheterization were more likely to develop central venous CRT. Further multivariate Logistic regression analysis showed that high APACHE II score, existing tumor, high D-dimer level on the 3rd day after catheterization and slow maximum flow rate of right internal jugular vein on the 3rd day after catheterization were independent risk factors for central venous CRT in critical patients [odds ratio (OR) and 95% confidence interval (95%CI) were 0.876 (0.801-0.957), 0.482 (0.259-0.895), 0.039 (0.011-0.139), 1.401 (1.218-1.611), and P values were 0.003, 0.021, < 0.001, < 0.001, respectively]. According to the results of multivariate analysis, the prediction model of the nomogram was constructed. The area under ROC curve (AUC) was 0.820, 95%CI was 0.767-0.872, P < 0.001. The calibration curve showed that the prediction probability of central venous CRT nomogram model in critically ill patients had good consistency with the actual occurrence probability.

CONCLUSIONS

Existing tumor, high APACHE II score, elevated D-dimer on the 3rd day after catheterization, and decreased maximum velocity of right internal jugular vein on the 3rd day after catheterization are independent risk factors for central venous CRT in critical patients. The prediction model based on the proposed model has good clinical efficacy.

摘要

目的

分析重症患者中心静脉导管相关血栓形成(CRT)的危险因素并建立列线图模型。

方法

对2018年5月至2021年3月在衡水市人民医院住院期间接受中心静脉导管置入的385例重症患者进行前瞻性调查研究。置管后每日行彩色多普勒超声检查。根据是否形成CRT将患者分为血栓组和非血栓组。记录患者的性别、年龄、体重指数(BMI)、急性生理与慢性健康状况评分系统II(APACHE II)评分、并发症、是否存在肿瘤、置管后第3天的D-二聚体水平、置管后第3天右颈内静脉最大流速、机械通气时间和导管留置时间,并比较两组上述指标的差异。对两组间有统计学差异的影响因素进行多因素Logistic回归分析,建立列线图预测模型。采用受试者操作特征曲线(ROC曲线)和校准曲线评估模型的预测能力。

结果

重症患者中心静脉CRT的发生率为16.1%(62/385)。与非血栓形成患者相比,血栓组患者的APACHE II评分、存在肿瘤的比例以及置管后第3天的D-二聚体水平更高[APACHE II评分:17(15,19)对15(12,18),存在肿瘤的比例:51.6%(32/62)对35.3%(114/323),D-二聚体(mg/L):0.84(0.64,0.94)对0.57(0.44,0.76),均P<0.05],置管后第3天右颈内静脉最大流速较慢[cm/s:14(13,15)对16(14,18),P<0.05]。单因素分析显示,APACHE II评分高、存在肿瘤的重症患者、置管后第3天D-二聚体水平高以及置管后第3天右颈内静脉最大流速慢更易发生中心静脉CRT。进一步多因素Logistic回归分析显示,APACHE II评分高、存在肿瘤、置管后第3天D-二聚体水平高以及置管后第3天右颈内静脉最大流速慢是重症患者中心静脉CRT的独立危险因素[比值比(OR)及95%置信区间(95%CI)分别为0.876(0.801 - 0.957)、0.482(0.259 - 0.895)、0.039(0.011 - 0.139)、1.401(1.218 - 1.611),P值分别为0.003、0.021、<0.001、<0.001]。根据多因素分析结果构建列线图预测模型。ROC曲线下面积(AUC)为0.820,95%CI为0.767 - 0.872,P<0.001。校准曲线显示,重症患者中心静脉CRT列线图模型的预测概率与实际发生概率具有良好的一致性。

结论

存在肿瘤、APACHE II评分高、置管后第3天D-二聚体升高以及置管后第3天右颈内静脉最大流速降低是重症患者中心静脉CRT的独立危险因素。基于所提出模型的预测模型具有良好的临床疗效。

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