|国家科技期刊平台
首页|期刊导航|现代医药卫生|糖尿病患者发生医院内感染的影响因素风险预警模型构建与预防

糖尿病患者发生医院内感染的影响因素风险预警模型构建与预防OA

Construction and prevention of risk early warning model for influencing factors of nosocomial infection in diabetic patients

中文摘要英文摘要

目的 探讨糖尿病患者发生医院内感染的影响因素、预警模型构建及预防措施.方法 收集2020年1月至2023年1月该院内科收治的1 059例糖尿病住院患者的临床资料,分析发生医院内感染的分布特点和危险因素并构建预警模型,总结护理预防措施.结果 1 059例患者中发生医院内感染63例,发生率为5.95%,其中下呼吸道感染占55.56%(35/63),胃肠道感染占17.46%(11/63),泌尿道感染占12.70%(8/63),口腔感染占6.35%(4/63),皮肤感染占3.17%(2/63),足部感染占3.17%(2/63),其他占1.59%(1/63).住院时间长、使用抗菌药物种类多、有侵入性操作、空腹血糖值高均是医院内感染的独立影响因素,差异均有统计学意义(P<0.05).医院内感染影响因素风险预警模型为Logit(P)=-4.122-0.782×住院时间+2.598×空腹血糖+5.510×使用抗菌药物种类-2.240×侵入性操作.结论 糖尿病患者医院内感染发生率较高,其危险因素预警模型预测拟合度较好,预测价值较高.住院期间积极采取有针对性的护理措施可有效预防医院内感染.

Objective To explore the influencing factors of nosocomial infection in diabetic patients and the construction of risk early warning model and preventive measures.Methods The clinical data of 1 059 dia-betic inpatients admitted to the department of internal medicine of the hospital from January 2020 to January 2023 were collected.The distribution characteristics and risk factors of nosocomial infection were analyzed,and the risk early warning model was constructed to summarize the nursing preventive measures.Results Among the 1 059 patients,63 had nosocomial infection,with an incidence of 5.95%.Among them,lower respiratory tract infection accounted for 55.56%(35/63),gastrointestinal tract infection accounted for 17.46%(11/63),urinary tract infection accounted for 12.70%(8/63),oral infection accounted for 6.35%(4/63),skin infection accounted for 3.17%(2/63),foot infection accounted for 3.17%(2/63),and others accounted for 1.59%(1/63).The independent influencing factors of nosocomial infection were long hospitalization time,variety of anti-biotics used,invasive operation and high fasting blood glucose,and the differences were statistically significant(P<0.05).The risk early warning model of influencing factors of nosocomial infection was Logit(P)=-4.122-0.782×hospitalization time+2.598×fasting blood glucose level+5.510×types of antibiotics used-2.240×invasive operation.Conclusion The incidence of nosocomial infection in diabetic patients is high,and the risk early warning model has good fitting degree and high predictive value.Actively taking targeted nursing measures during hospitalization can effectively prevent nosocomial infection.

张文华;劳景茂

钦州市第一人民医院,广西 钦州 535000

临床医学

糖尿病交叉感染影响因素分析风险预警模型构建预防

DiabetesCross infectionAnalysis of influencing factorsConstruction of risk early warning modelPrevention

《现代医药卫生》 2024 (010)

1665-1668,1673 / 5

广西壮族自治区临床重点专科(普通外科)建设项目(桂卫医发[2022]17号);钦州市科学研究与技术开发科技攻关课题(20213711).

10.3969/j.issn.1009-5519.2024.10.009

评论