基于MIMIC-IV数据库的成人体外膜氧合支持期间出血和血栓并发症的危险因素

IF 1.6 4区 医学 Q3 MEDICINE, RESEARCH & EXPERIMENTAL
American journal of translational research Pub Date : 2025-06-15 eCollection Date: 2025-01-01 DOI:10.62347/AKFK5120
Zhifeng Chen, Guiyuan Su, Guohui Zhao, Yang Dong, Junzhi Xiao, Haiyan Yin
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引用次数: 0

摘要

目的:确定成人体外膜氧合(ECMO)支持过程中出血和血栓形成并发症的危险因素,并建立基于这些因素的预测模型。方法:回顾性分析重症监护医学信息市场(MIMIC-IV)数据库中323例接受ECMO治疗的成年患者的资料。收集了人口统计信息、临床特征和实验室检测结果。Kaplan-Meier (K-M)和Cox回归分析用于确定出血和血栓形成并发症的危险因素,并构建预测模型。结果:84例(26.0%)患者出现出血和血栓形成并发症,ECMO后中位发病时间为13天。单因素分析发现,年龄、急性生理和慢性健康评估II (APACHE II)评分、ECMO指征、ECMO退出、体外心肺复苏(ECPR)和凝血功能是潜在的危险因素(均P < 0.05)。多因素分析显示,退出ECMO和血小板计数(PLT)是独立的保护因素,d -二聚体是独立的危险因素(P < 0.05)。基于ECMO停药、d -二聚体、PLT建立预测模型,预测ECMO治疗后6、9、12 d出血并发症的曲线下面积(auc)分别为0.932、0.931、0.941。结论:ecmo相关出血及血栓并发症的发生率较高。ECMO停药、PLT和d -二聚体是独立的影响因素。该预测模型有助于早期识别高危患者,指导临床决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk factors for bleeding and thrombotic complications during extracorporeal membrane oxygenation support in adults based on the MIMIC-IV database.

Objective: To identify risk factors for bleeding and thrombotic complications during extracorporeal membrane oxygenation (ECMO) support in adults and to develop a predictive model based on these factors.

Method: Data from 323 adult patients treated with ECMO in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database were retrospectively analyzed. Demographic information, clinical characteristics, and laboratory test results were collected. Kaplan-Meier (K-M) and Cox regression analyses were used to identify risk factors for bleeding and thrombotic complications and construct a predictive model.

Results: Bleeding and thrombotic complications was noted in 84 (26.0%) patients, with a median onset time of 13 days after ECMO. Univariate analysis identified age, Acute Physiology and Chronic Health Evaluation II (APACHE II) score, ECMO indication, ECMO withdrawal, extracorporeal cardiopulmonary resuscitation (ECPR), and coagulation function as potential risk factors (all P < 0.05). Multivariate analysis revealed that ECMO withdrawal and platelet count (PLT) were independent protective factors, while D-dimer was an independent risk factor (P < 0.05). A predictive model was developed based on ECMO withdrawal, D-dimer, and PLT, with areas under the curves (AUCs) of 0.932, 0.931, and 0.941 for predicting bleeding complications at 6, 9, and 12 days after ECMO treatment, respectively.

Conclusion: The incidence of ECMO-related bleeding and thrombotic complications is high. ECMO withdrawal, PLT, and D-dimer are independent influencing factors. This predictive model can assist in early identification of high-risk patients and guide clinical decision-making.

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American journal of translational research
American journal of translational research ONCOLOGY-MEDICINE, RESEARCH & EXPERIMENTAL
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