Analysis of factors influencing the effectiveness of pelvic floor muscle repair in postpartum women and their predictive value
10.3760/cma.j.cn341190-20240920-01206
- VernacularTitle:产妇产后盆底肌修复效果影响因素及预测价值分析
- Author:
Qingying GAO
1
;
Wanli XUAN
1
;
Feili WANG
1
Author Information
1. 西安医学院第三附属医院妇产科，西安 710100
- Publication Type:Journal Article
- Keywords:
Postnatal care;
Pelvic floor disorders;
Rehabilitation;
Root cause analysis;
Forecasting
- From:
Chinese Journal of Primary Medicine and Pharmacy
2025;32(8):1186-1191
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the factors that affect pelvic floor muscle repair in postpartum women.Methods:The clinical data of 100 patients who gave birth at the Third Affiliated Hospital of Xi'an Medical University between January 2021 and January 2024 and underwent pelvic floor muscle repair were analyzed retrospectively. Based on whether they received the repair, the patients were divided into a repair group ( n = 70) and a non-repair group ( n = 30). The clinical data of both groups were compared. Multivariate logistic regression was performed to analyze the main factors that influence postpartum pelvic floor muscle repair. A predictive model was constructed, and its predictive value for the effectiveness of postpartum pelvic floor muscle repair was evaluated using the receiver operating characteristic curve. Results:After pelvic floor muscle repair, total effective rate was 70% (70/100). There were significant differences between the repair group and the non-repair group in terms of age, parity, number of pregnancies, prenatal body mass index (BMI), neonatal body weight, mode of pelvic floor muscle repair, delivery mode, relaxin level, elastin level, pelvic floor muscle strength classification, degree of stress urinary incontinence, and training compliance (all P < 0.05). Multivariate analysis results indicated that age, prenatal BMI, parity, number of pregnancies, neonatal body weight, pelvic floor muscle strength grading, training compliance, relaxin level, and elastin level were independent influential factors for the effectiveness of postpartum pelvic floor muscle repair. The model can be represented as: Y = 1.253 × age + 0.131 × prenatal BMI + 1.313 × parity + 2.603 × number of pregnancies + 0.559 × neonatal body weight -1.512 × pelvic floor muscle strength grading + 1.271 × training compliance + 0.404 × relaxin level -9.945 × elastin level -4.015. The receiver operating characteristic curve results showed that the area under the curve values for age, prenatal BMI, parity, number of pregnancies, neonatal body weight, pelvic floor muscle strength grading, training compliance, relaxin level, and elastin level in predicting the effectiveness of postpartum pelvic floor muscle repair were 0.650, 0.634, 0.657, 0.786, 0.610, 0.783, 0.645, 0.949, and 0.991, respectively. The area under the curve values for relaxin and elastin levels exceeded 0.9, with the corresponding sensitivity and specificity for relaxin level being 90.00% and 92.90%, respectively, and for elastin level being 100.00% and 95.70%, respectively. Conclusions:Age, prenatal BMI, parity, number of pregnancies, neonatal body weight, pelvic floor muscle strength grading, training compliance, relaxin level, and elastin level are factors that affect the effectiveness of postpartum pelvic floor muscle repair. These factors have certain predictive value for the effectiveness of pelvic floor muscle repair, with relaxin and elastin levels showing particularly high predictive value. Clinically, this information can be used to develop a reasonable pelvic floor muscle repair plan for postpartum women.
