Construction and prevention of risk early warning model for influencing factors of nosocomial infection in diabetic patients
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.
DiabetesCross infectionAnalysis of influencing factorsConstruction of risk early warning modelPrevention
国家科技期刊平台
NSTL
万方数据
