| Objective To explore the risk factors of recurrent urinary tract infection in children and establish a risk prediction model of recurrent urinary tract infection in children. Methods A total of 237 children with urinary tract infection diagnosed in the Department of Urology of our hospital from August 2020 to July 2021 were selected. According to the follow-up results, 205 children without urinary tract infection were selected as the non recurrent group, and 32 children with recurrent or recurrent urinary tract infection were in the recurrent group. The clinical data of two groups of children were collected, the independent influencing factors of recurrent urinary tract infection in children were analyzed by univariate and multivariate logistic regression, and the prediction model was constructed. The ROC curve and calibration curve were used for model evaluation, and Hosmer lemeshow goodness of fit test was used. Results Altogether 237 children with urinary tract infection were followed up. The incidence of recurrent urinary tract infection was 13.50%. The proportion of anemia, allergic constitution, constipation, vesicoureteral reflux and other types of urinary system malformations in the recurrent group was higher than that in the non recurrent group (all P< 0.05). The decrease of IgA and IgG levels and the proportion of children with Escherichia coli as the pathogen in the recurrent group were significantly higher than those in the non-recurrent group (P< 0.05). Multivariate logistic regression analysis showed that gender (female), vesicoureteral reflux, other types of urinary system abnormalities, allergic constitution, constipation, lower IgA level, lower IgG level, anemia, and pathogenic bacteria (Escherichia coli) were independent risk factors for recurrent urinary tract infection in children (all P< 0.05). The AUC value corresponding to the prediction model was 0.868, 95% CI was 0.812 ~ 0.983, and 0.753 was the best cut-off value. At this time, the specificity of the model was 71.46%, the sensitivity was 87.29%, and the consistency index was 0.816. The fitting degree of the calibration curve for the consistency between the prediction and the actual risk of recurrent urethral infection was good. Conclusions There are many risk factors for recurrent urinary tract infection in children.The risk prediction model of recurrent urinary tract infection in children has good prediction efficiency, which provides a certain reference for the recurrence of urinary tract infection in children, clinical prevention, diagnosis and treatment, and targeted nursing. |
