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Dataset Information

Development and validation of a risk prediction model for urinary retention after pelvic floor reconstruction: a retrospective cohort study.


ABSTRACT:

Objectives

To investigate and analyze the factors affecting postoperative urinary retention (POUR) after pelvic floor reconstruction, and to construct and validate a risk prediction model.

Methods

This retrospective cohort study included 258 pelvic floor reconstruction patients (2023-2024) from a Southwest China tertiary hospital. Patients were classified into POUR and non-POUR groups and split 7:3 into training and internal validation cohorts. Predictors were identified through univariate analysis and multivariate logistic regression analysis to construct a Nomogram model. Receiver Operating Characteristic (ROC) curves, calibration curves, and the Hosmer-Lemeshow test evaluated the model's differentiation, calibration, goodness-of-fit, and predictive performance.

Results

SUBMITTER: Hu S 

PROVIDER: S-EPMC12933893 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature