Predictive efficacy of different intrauterine adhesion (IUA) classification systems on the prognosis of patients with IUA

Objective To explore the effects of different intrauterine adhesion (IUA) classification systems on predicting the IUA prognosis. Methods One hundred cases were selected as the subjects in present study from those diagnosed with IUA and underwent surgery in Zhujiang Hospital of Southern Medical University from Jan. 2010 to Jan. 2017, and were followed up for two years. According to the actual situation, all patients were scored by March, AFS, ESGE and Chinese classification for comparing the effects of different IUA classification systems on predicting the pregnancy rate, live birth rate and effective rate within 2 years after surgery. Results ESGE classification had a good effect on predicting the postoperative live birth rate and effective rate, and a certain predictive effect on pregnant rate, with the area under curve (AUC) of 0.722, 0.754 and 0.635, respectively. March classification had a certain effect on predicting the postoperative live birth rate and effective rate with AUC of 0.635, 0.754, respectively, but had a poor effect on predicting pregnant rate. AFS classification and China classification had poor effect on predicting the IUA prognosis. Conclusion ESGE classification system is better than the other systems including March, AFS and Chinese classification, on predicting the IUA prognosis, but further verification in large sample size is still required. DOI: 10.11855/j.issn.0577-7402.2017.05.14