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脑卒中病人导管相关性尿路感染风险预测模型的构建和评价OA

Construction and evaluation of a risk prediction model for catheter-associated urinary tract infection in stroke patients

中文摘要英文摘要

目的:探讨脑卒中病人导管相关性尿路感染(CAUTI)的危险因素,构建风险预测模型,并评价其应用效果.方法:选取2021年11月—2023年11月医院收治的350例脑卒中病人作为建模组,对所有病人临床资料进行回顾性分析,将70例发生CAUTI病人纳入感染组,将280例未发生CAUTI病人纳入非感染组.采用单因素、Logistic回归分析脑卒中病人发生CAUTI的危险因素,并构建风险预测模型,采用受试者工作特征(ROC)曲线评价模型的预测效能.另选取2023年12月—2024年12月医院收治的95例脑卒中病人作为验证组,评价其应用效果.结果:350例脑卒中病人中有70例发生CAUTI,占20.00%(70/350).单因素分析结果表明,感染组性别、年龄、住院时间、尿管留置时间、导尿管插管次数、D-二聚体水平、糖尿病病史、意识障碍情况与非感染组比较差异有统计学意义(P<0.05).Logistic回归分析结果表明,女性、年龄>75岁、住院时间≥10 d、尿管留置时间>7 d、导尿管插管次数>3次、D-二聚体>0.5 mg/L、合并糖尿病病史、意识障碍是脑卒中病人发生CAUTI的危险因素(P<0.05).构建风险预测模型,ROC曲线下面积(AUC)为0.858[95%CI(0.875,0.962)],约登指数最大为0.705,灵敏度为0.842,特异度为0.865.结论:女性、高龄、住院时间长、尿管留置时间长、导尿管插管次数多、D-二聚体水平升高、合并糖尿病史、意识障碍均是脑卒中病人发生CAUTI的危险因素,临床应合理评估CAUTI高危因素,做到早识别、早预防,积极采取有效护理措施以降低脑卒中病人留置尿管后CAUTI发生率.

Objective:To explore the risk factors of catheter-associated urinary tract infection(CAUTI)in stroke patients,construct a risk prediction model,and evaluate its application effect.Methods:A total of 350 stroke patients admitted to the hospital from November 2021 to November 2023 were selected as the modeling group.The clinical data of all patients were retrospectively analyzed.Among them,70 patients with CAUTI were included in the infection group,and 280 patients without CAUTI were included in the non-infection group.Univariate and Logistic regression analyses were used to identify the risk factors for CAUTI in stroke patients,and a risk prediction model was constructed.The predictive efficacy of the model was evaluated using the receiver operating characteristic(ROC)curve.Another 95 stroke patients admitted to the hospital from December 2023 to December 2024 were selected as the validation group to evaluate the application effect.Result:Among 350 stroke patients,70 cases developed CAUTI,accounting for 20.00%(70/350).The results of the univariate analysis showed that there were statistically significant differences in gender,age,length of hospital stay,duration of urinary catheter placement,number of catheter insertions,D-dimer level,history of diabetes,and status of consciousness between the infection group and the non-infection group(P<0.05).The results of the Logistic regression analysis indicated that being female,age>75 years old,length of hospital stay≥10 days,duration of urinary catheter placement>7 days,number of catheter insertions>3 times,D-dimer>0.5 mg/L,having a history of diabetes,and having a state of consciousness disorder were risk factors for CAUTI in stroke patients(P<0.05).A risk prediction model was constructed,with the area under the ROC curve(AUC)being 0.858[95%CI(0.875,0.962)],the maximum Youden index being 0.705,the sensitivity being 0.842,and the specificity being 0.865.Conclusions:Being female,advanced age,long hospital stay,long duration of urinary catheter placement,multiple catheter insertions,elevated D-dimer level,history of diabetes,and state of consciousness disorder are all risk factors for CAUTI in stroke patients.Clinically,it is necessary to reasonably assess the high-risk factors of CAUTI,achieve early identification and prevention,and actively take effective nursing measures to reduce the incidence of CAUTI in stroke patients after urinary catheter placement.

王丽娜;王丽丽;李亚男

224011,盐城市第三人民医院盐城市射阳县人民医院224011,盐城市第三人民医院

脑卒中导管相关性尿路感染危险因素风险预测模型

strokecatheter-associated urinary tract infectionrisk factorsrisk prediction model

《全科护理》 2026 (2)

212-216,5

江苏医药职业学院校地协同创新研究项目,编号:20239128.

10.12104/j.issn.1674-4748.2026.02.003

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