2026-10-14T17:26:32Z https://www.scidb.cn/oai

10.57760/sciencedb.45258 2026-08-05T16:17:31Z

2026-08-05 Wire mesh exposed data doi:10.57760/sciencedb.45258 en Vaginal mesh exposure is an important complication after transvaginal mesh-augmented prolapse repair. This study aimed to identify clinically available predictors of mesh exposure and to develop and internally validate a nomogram for individualized risk estimation. Methods: We retrospectively reviewed 501 women who underwent transvaginal polypropylene mesh-augmented anterior repair between January 2019 and January 2024; 43 women (8.6%) developed vaginal mesh exposure during follow-up. Age, type 2 diabetes mellitus, previous pelvic floor reconstructive surgery, and concomitant vaginal hysterectomy were entered into a multivariable logistic regression model. The cohort was randomly divided into a 70% training set and a 30% internal validation set. Model discrimination was assessed using receiver operating characteristic curves, calibration was evaluated using calibration plots and 1,000 bootstrap resamples, and clinical utility was explored using decision curve analysis. Results: Older age (odds ratio [OR] per year, 1.172; 95% confidence interval [CI], 1.099-1.249), type 2 diabetes mellitus (OR, 7.990; 95% CI, 2.931-21.783), previous pelvic floor surgery (OR, 8.218; 95% CI, 3.046-22.173), and concomitant vaginal hysterectomy (OR, 13.806; 95% CI, 5.142-37.073) were associated with mesh exposure (all P<0.001). The area under the curve was 0.959 (95% CI, 0.932-0.986) in the training set and 0.924 (95% CI, 0.874-0.972) in the internal validation set. The bootstrap-corrected calibration curve in the training set had a mean absolute error of 0.017. Decision curve analysis suggested a positive net benefit across threshold probabilities of approximately 0.10-0.35. Conclusions: Four readily available clinical variables were associated with vaginal mesh exposure, and the resulting nomogram showed promising internal performance. Because the study was retrospective, single-center, and based on only 43 events, external validation and further model updating are required before routine clinical use.  anterior vaginal wall prolapse; transvaginal mesh; mesh exposure; risk prediction; nomogram; internal validation li dan yang Li Yongchuan PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank