Analysis of the influencing factors of the pelvic floor dysfunction occurced after total laparoscopic hysterectomy
Objective:To investigate the influencing factors of the pelvic floor dysfunction(PFD)occurrence of patients after total laparoscopic hysterectomy.Methods:The clinical data of 71 patients with the complete data of the follow-up who had been total laparoscopic hysterectomy caused by benign uterine lesions from January 2022 to January 2023 were selected in this study retrospectively.The occurrence of PFD was statistically analyzed according to the reexamination results of the patients in 3 months after surgery.The influencing factors of PFD occurrence of the patients after total laparoscopic hysterectomy were analyzed by logistic regression analysis.Results:In 71 patients with PFD occurrence after total laparoscopic hysterectomy,there were 9 cases with pelvic organ prolapses,5 cases with urinary incontinence and 4 cases with sexual dysfunction,with a total incidence of 25.4％.The proportions of the age＞45 years old,the parity＞2 times of the patients without regular pelvic floor muscle function exercise of the patients were significantly higher than those of the patients with normal pelvic floor function(P＜0.05).The age＞45 years old(OR=1.709,95％CI:1.062-2.752),the parity＞2 times(OR=1.539,95％CI:1.048-2.260),no regular pelvic floor muscle func-tion exercise(OR=1.471,95％CI:1.188-1.821)of the patients were the independent influencing factors of their PFD occurrence after total laparoscopic hysterectomy(all P＜0.05).Conclusion:The incidence of PFD of the patients after total laparoscopic hysterectomy is relatively high,which is influenced by the age,the party time and the postoperative pelvic floor muscle functional exercise of the patients.The postoperative pelvic floor function exercise guidance and the health education of the patients should be actively carried out in clinic to improve their understanding and compliance of the pelvic floor muscle function exercise.
Total laparoscopic hysterectomyPelvic floor dysfunctionInfluencing factor
万方数据
维普
