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作 者:刘芬[1,2] 郭豫涛[1] 徐月[1] 刘心菊 李燕[1] 侯惠如[1] LIU Fen GUO Yutao XU Yue LIU Xinju LI Yan HOU Huiru(Chinese PLA General Hospital, Beijing, 100853, China)
机构地区:[1]解放军总医院南楼临床部,北京市100853 [2]联参警卫局卫生保健处
出 处:《中国护理管理》2017年第4期462-466,共5页Chinese Nursing Management
基 金:总后勤部卫生部保健专项科研课题(14BJZ05)
摘 要:目的:确定PICC-DVT高危因素,构建PICC-DVT风险评估模型。方法:回顾性分析2008年1月至2015年12月在我院行PICC置管的564例老年患者资料。应用Cox比例风险模型确定PICC-DVT危险因素并建立风险评估模型;用Jonckheere趋势检验评估不同危险分层患者PICC-DVT差异,并通过构建受试者工作特征曲线(ROC),评价模型预测价值。结果:房颤、动脉粥样硬化、近期手术史、静脉血栓史是老年住院患者PICC-DVT的独立危险因素(P<0.05)。PICC-DVT风险指数=1.302χ1(静脉血栓史)+0.775χ2(近期手术史)+0.596χ3(房颤)+0.610χ4(动脉粥样硬化)。PICC-DVT发生率随风险指数升高而增加(P<0.05)。该模型ROC曲线下面积为0.73。结论:房颤、动脉粥样硬化、近期手术史、静脉血栓史是老年住院患者PICC-DVT的独立危险因素,PICC-DVT风险评估模型预测效能良好。Objective: To identify risk factors for Peripherally Inserted Central Catheter (PICC)-related Deep Vein Thrombosis (DVT) in elderly inpatients and develop a predict model of PICC-DVT. Methods: The data from 564 elderly inpatients receiving a PICC in PLA General Hospital between January 2008 and December 2015 were retrospectively analyzed. Cox proportional hazards model was used to identify risk factors and develop the PICC-DVT risk assessment model. The patients were stratified by risk of PICC-DVT using Jonckheere trend test. The model was evaluated by receiver operating characteristic curve (ROC). Results: Atrial fibrillation (AF), atherosclerosis, recent operation and prior vein thrombosis (VTE) were the key risk factors (P〈0.05). PICC-DVT risk index=1.302x1 (prior VTE) +0.775x2(recent operation)+0.596x3 (AF)+0.610x 4 (atherosclerosis). With the increase of risk index, the incident of PICC-DVT increased significantly. The area below the ROC curve of the model was 0.73. Conclusion: AF, atherosclerosis, recent operation and prior VTE were the independent risk factors of PICC-DVT. The predict model is reliable in predicting PICC-related deep venous thrombosis.
关 键 词:经外周静脉穿刺中心静脉导管 深静脉血栓 危险因素 预测模型
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