Construction of a Nomogram model for risk assessment of recurrence in patients after multiple hysteromyomectomy
Objective To construct a Nomogram model for risk assessment of recurrence in patients after multiple hysteromyomectomy.Methods A total of 102 patients after multiple hysteromyomectomy who were admitted to 17th Metallurgical Hospital in Ma'anshan between July2019 and February2020 were selected as the research objects.They were divided into recurrence group(n =37)and non-recurrence group(n =65)according to the recurrence or not after myomectomy.The clinical data of the patients were recorded and analyzed.Spearman correlation analysis was used to analyze the correlation between each parameter and postoperative recurrence.Logistic regression model was used to analyze the risk factors of postoperative recurrence for each parameter.A Nomogram model was constructed to evaluate risk of recurrence after multiple hysteromyomectomy.Receiver operating characteristic(ROC)curve was drawn to analysis the predictive value of Nomogram models.Results There were significant differences in age,body mass index,long-diameter of uterine fibroids,number of fibroids,and postoperative drugs treatment between the recurrence group and the non-recurrence group(P＜0.05).Patients'age,postoperative drug treatment,body mass index,long-diameter of uterine fibroids,and number of fibroids were significantly correlated with recurrence after multiple hysteromyomectomy(P＜0.05).Younger age,high body mass index,long long-diameter of uterine fibroids,high number of fibroids,and no postoperative drug treatment were independent risk factors for recurrence in patients after multiple hysteromyomectomy(P＜0.05).The prediction model can be effectively constructed when using age,body mass index,long diameter of uterine fibroids,the number of fibroids,and postoperative drug treatment as the parameters of the Nomogram model for recurrence risk after multiple hysteromyomectomy,and the area under ROC curve(AUC)for recurrence prediction is 0.961(P＜0.05).Conclusions Risk of postoperative recurrence can be effectively predicted by using age,body mass index,long diameter of uterine fibroids,number of fibroids,and postoperative drug treatment to construct the Nomogram model of recurrence risk after multiple hysteromyomectomy.
Multiple hysteromyomectomyMyomectomyPostoperative recurrenceNomogram model
NETL
NSTL
万方数据
维普
