Retrospective study on constructing a nomogram model based on clinical data to predict the recurrence probability of patients with intrauterine adhesions after separation surgery
Year: 2026
Type: article
Study design: Observational Study
Abstract: Background: Intrauterine adhesions (IUAs) are a common gynecological condition that can lead to menstrual abnormalities, infertility, and recurrent pregnancy loss. Hysteroscopic adhesiolysis is the standard treatment, but recurrence rates remain high, and factors influencing recurrence are not fully understood. This study aims to develop and validate a nomogram based on clinical data for predicting the probability of recurrence in patients with IUAs following hysteroscopic adhesiolysis. Methods: A retrospective analysis included 256 patients who underwent hysteroscopic adhesiolysis at our hospital between October 2018 and October 2020, forming the modeling group. Additionally, 128 patients undergoing the same procedure between November 2020 and September 2021 served as the validation group. Patients in both groups were divided into recurrence and non-recurrence subgroups based on whether intrauterine adhesions recurred post-surgery. Within the modeling group, multivariate logistic regression identified factors associated with recurrence, which were incorporated into a nomogram. Model performance was evaluated using ROC and calibration curves, with external validation conducted in the validation group. Results: = 0.352; the AUC was 0.779. The nomogram demonstrated high clinical utility for predicting postoperative recurrence of intrauterine adhesions across threshold probabilities of 0.02-0.89 in the modeling group and 0.02-0.92 in the validation group. Conclusion: Disease duration >12 months and 12 days, more than two induced abortions, more than one preoperative intrauterine procedure, and an adhesion range ≥1/2 were identified as independent risk factors for postoperative recurrence in patients with intrauterine adhesions. The nomogram prediction model developed based on these factors provides clinicians with a simple and intuitive tool to individualize the prediction of recurrence risk after adhesiolysis.
Source: Frontiers in Medicine
Authors: Qin Wan, Ming Zhou, Chen Qian, Xiaohong Zhang
Language: English
Subfield: Obstetrics and Gynecology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,801
OpenAlex ID: W7126228270