Risk prediction models for postpartum stress urinary incontinence:a Meta-analysis
KANG Jing
JIANG Yunlan
LI Tao
SONG Shuang
YI Xiaodong
DU Qiufeng
Abstract：Objective:To systematically evaluate the risk prediction model of postpartum stress urinary incontinence,and to provide the basis for building a higher performance risk prediction model of postpartum stress urinary incontinence.Methods:The literature on risk prediction models of postpartum stress urinary incontinence were retrieved from CNKI,WanFang Database,VIP,CBM,PubMed,Web of Science,EMbase and the Cochrane Library.The retrieval time was from the inception to January 4,2024.Two researchers independently screened the literature,extracted data,and evaluated the quality of the included literature using the Risk of Bias and Suitability Assessment Tool for predictive model studies.Meta-analysis of high frequency predictors were performed using RevMan 5.4 software.Results:A total of 22 articles involving 27 prediction models were included;the area under the receiver operating characteristic curve ranged from 0.68 to 0.97.The results of the Meta-analysis showed that the vaginal deliveries(OR=3.54,95%CI 2.73-4.59),age(OR=1.17,95%CI 1.08-1.26),≥2 pregnancies(OR=2.91,95%CI 1.72-4.91)bladder neck funneling(OR=6.56,95%CI 2.21-19.54),stress urinary incontinence during pregnancy(OR=3.63,95%CI 3.05-4.31),bladder neck position(OR=3.03,95%CI 1.19-7.72)were influential factors of the occurrence of stress urinary incontinence in the postpartum period(P<0.05).Conclusion:Existing evidence shows that risk prediction model for postpartum stress urinary incontinence still needs to be further improved,and aspects of study design,sample size,treatment of missing data,and calibration and validation of the model should be considered in future construction.Future risk predictors may focus on the aspects of mode of delivery(vaginal delivery),maternal age,number of pregnancies,stress urinary incontinence during pregnancy,and bladder neck funnel formation and location.
Keywords：postpartum stress urinary incontinencePSUIrisk predictionMeta-analysisevidence-based nursing
Publication Date：2025-04-10
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：12( 1267-1278 )