Objective To observe the value of Nomogram model in predicting the risk of nosocomial infection after craniocerebral injury(CCI).Methods The clinical data of 240 patients with CCI treated from January 2021 to December 2022 were retrospectively analyzed,and nosocomial infections were analyzed to screen for influencing factors.A Nomogram model for predicting nosocomial infections was constructed by using R software,and the efficacy was evaluated by using receiv-er operating characteristic(ROC)curve.Results Among 240 patients with CCI,the incidence of nosocomial infection was 15.83%,and respiratory system infection was the highest.A total of 82 pathogenic bacteria were detected,mainly gram-positive bacteria.Age≥60 years,combined diabetes mellitus,open injury,Glasgow coma score<8 points,hypoproteine-mia,tracheotomy,duration of operation,length of hospital stay,duration of invasive mechanical ventilation,duration of anti-biotic use,indwelling time of drainage tube,and length of postoperative intensive care unit(ICU)stay were risk factors for nosocomial infection after CCI(P<0.05).The prediction sensitivity and specificity of the Nomogram risk prediction model were 92.36%and 87.16%respectively.Conclusion Nosocomial infection after CCI is related to various factors,including age and combined diabetes,which need early detection and prevention.In clinical practice,it is necessary to strengthen the hospital management,enhance the professional level of medical staff,and reduce the risk of postoperative nosocomial infec-tion.
关键词
颅脑损伤/术后/交叉感染/列线图/风险预测/年龄/抗生素使用时间/手术时间
Key words
Craniocerebral injury/Postoperation/Cross infection/Nomograms/Risk prediction/Age/Duration of antibiotic use/Duration of operation
维普
万方数据