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Abstract：
The aim of this study was to analyze the current situation and risk factors of multi-drug-resistant organism (MDRO) infection in Neuro-intensive care unit (ICU) patients, and to develop the risk predict model. The data was collected from the patients discharged from Neuro-ICU of grade-A tertiary hospital at Guizhou province from January 2018 to April 2020. Binary Logistics regression was used to analyze the data. The model was examined by receiver operating characteristic curve (ROC). The grouped data was used to verify the sensitivity and specificity of the model. A total of 297 patients were included, 131 patients infected with MDRO. The infection rate was 44.11%. The results of binary Logistics regression showed that tracheal intubation, artery blood pressure monitoring, fever, antibiotics, pneumonia were independent risk factors for MDRO infection in Neuro-ICU (P < 0.05), AUC = 0.887. The sensitivity and specificity of ROC curve was 86.3% and 76.9%. The risk prediction model had a good predictive effect on the risk of MDRO infection in Neuro ICU, which can evaluate the risk and provide reference for preventive treatment and nursing intervention.
摘要：
本研究的目的是分析神经重症监护病房(ICU)患者多药耐药菌(MDRO)感染的现状及危险因素。并建立风险预测模型。数据收集自2018年1月至2020年4月贵州省三级甲等医院神经ICU出院患者。采用二元物流回归分析数据。通过受试者工作特征曲线（ROC）检查模型。分组数据用于验证模型的敏感性和特异性。共纳入297名患者，131例患者感染MDRO。感染率为44.11%。二元Logistics回归结果显示,气管插管,动脉血压监测,发烧,抗生素,肺炎是神经重症监护病房MDRO感染的独立危险因素(P<0.05),AUC=0.887。ROC曲线的敏感度和特异度分别为86.3%和76.9%。风险预测模型对神经ICUMDRO感染的风险有较好的预测效果,风险评估,为预防性治疗和护理干预提供参考。
