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ICU患者压力性损伤风险预测模型的系统评价
引用本文:贾盈盈,张红燕,马媛媛,邓露,何博,燕芳红,韩琳,马玉霞.ICU患者压力性损伤风险预测模型的系统评价[J].中华护理杂志,2021,56(8):1242-1248.
作者姓名:贾盈盈  张红燕  马媛媛  邓露  何博  燕芳红  韩琳  马玉霞
作者单位:730000 兰州市 兰州大学护理学院(贾盈盈,马媛媛,邓露,燕芳红,韩琳,马玉霞);甘肃省人民医院护理部(张红燕,何博)
基金项目:国家自然科学基金项目(71704071);国家自然科学基金项目(71663002);美国中华医学基金会项目(#20-374);甘肃省人民医院国家级科研培育计划(19SYPYA-4);兰州市城关区科技计划项目(2020JSCX0018);甘肃省自然科学基金项目(20JR10RA603)
摘    要:目的 系统评价ICU患者压力性损伤风险预测模型,为相关预测模型的构建、应用及优化提供参考依据.方法 全面检索Cochrane Library、PubMed、Embase、CHINAL、Web of Science、中国知网、维普、万方和中国生物医学文献数据库中发表的与ICU患者压力性损伤风险预测模型相关的文献,检索时限...

关 键 词:压力性损伤  重症监护病房  预测  风险  模型  护理
收稿时间:2020-10-25

Systematic review of pressure injuries risk prediction models in ICU patients
JIA Yingying,ZHANG Hong-yan,MA Yuanyuan,DENG Lu,HE Bo,YAN Fanghong,HAN Lin,MA Yuxia.Systematic review of pressure injuries risk prediction models in ICU patients[J].Chinese Journal of Nursing,2021,56(8):1242-1248.
Authors:JIA Yingying  ZHANG Hong-yan  MA Yuanyuan  DENG Lu  HE Bo  YAN Fanghong  HAN Lin  MA Yuxia
Abstract:Objective To conduct a systematic review of pressure injuries risk prediction models in ICU patients,in order to provide evidence-based references for clinical nurses to conduct pressure injuries prediction models. Methods Cochrane Library, PubMed, Embase,CINAHL, Web of science,CNKI,VIP,Wanfang,and Chinese bio-medical databases were searched for the related studies on pressure injuries risk prediction models in ICU patients from the establishment of the databases to December 31, 2020. 2 researchers were selected to retrieve studies according to the inclusion and exclusion criteria, and critically evaluated the quality of studies based on the Checklist for Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies. Results 15 studies were included, containing 28 pressure injuries risk prediction models. The AUC(area under ROC curve) of 20 models were all over 0.7. Gender,age,diabetes mellitus, mechanical ventilation,length of ICU stay were the most important predictors of pressure injuries. Conclusion Studies of the pressure injury risk prediction model in ICU patients had high research quality, and the risk prediction models also had good predictive performance. Male, the aged, history of diabetes,mechanical ventilation and long stay in ICU were high risk factors for pressure injuries in ICU patients. Clinical nurses should choose models with better predictive performance based on clinical practice, so as to provide targeted preventions for patients.
Keywords:Pressure Injuries  Intensive Care Units  Prediction  Risk  Models  Nursing Care  
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