摘要
目的探讨关节置换术患者围手术期压力性损伤(PI)的危险因素,建立风险预警模型。方法选取2020年1月-2021年6月在我院行关节置换术的197例患者,根据患者围手术期是否发生压力性损伤分为PI组53例和非PI组144例,对相关因素进行多因素Logistic回归分析,构建风险模型并利用受试者工作曲线(ROC)验证其预测效能。结果197例关节置换术患者中PI发生率为26.90%;多因素Logistic回归分析结果显示,年龄、体重、贫血和手术时间是关节置换术患者发生PI的独立危险因素(P<0.05);Hosmer-Lemeshow拟合优度检验χ^(2)=2.757,P=0.071,ROC曲线下面积为0.791(P<0.05,95%CI:0.762~0.817),灵敏度为66.00%,特异性为83.30%,最大约登指数为0.493,临床预测准确率为74.67%。结论关节置换术患者围手术期PI受年龄、体重、贫血和手术时间等独立危险因素影响,以此建立的风险预警模型具有较好的预测效能。
Objective To investigate the risk factors of perioperative pressure injury(PI)in patients undergoing joint replacement,and to establish a risk early warning model.Methods A total of 197 patients who underwent joint replacement in our hospital from January 2020 to June 2021 were selected and divided into PI group(n=53)and non-PI group(n=144)according to whether the patients had pressure injury during the perioperative period.Performed logistic analysis on related factors,constructed risk model and used receiver operating curve(ROC)to verify its predictive performance.Results The incidence of PI in 197 patients undergoing joint replacement was 26.90%.Age,weight,anemia and operation time were independent risk factors for PI in patients undergoing joint replacement(P<0.05).Hosmer-Lemeshow goodness of fit testχ^(2)=2.757,P=0.071,the area under the ROC curve was 0.791(P<0.001,95%CI:0.762-0.817),the sensitivity was 66.00%,the specificity was 83.30%,the maximum Youden index was 0.493,the accuracy of clinical application was 74.67%.Conclusion The perioperative PI of patients undergoing joint replacement is affected by independent factors such as age,weight,anemia and operation time.The risk early warning model established in this way has good predictive efficacy and is suitable for promotion.
作者
吴芳
戴玲
黄芬
WU Fang;DAI Ling;HUANG Fen(Nanchang Hongdu Hospital of Traditional Chinese Medicine,Nanchang 330000;The Second Affiliated Hospital of Nanchang University,Nanchang 330008)
出处
《临床护理杂志》
2022年第6期13-16,共4页
Journal of Clinical Nursing
基金
江西省卫生健康委科技计划项目(202140155)。