Construction of a Column Chart Model for Predicting TCRP Recurrence in Gravid Women

Abstract

Background: This study aims to investigate the factors affecting the recurrence in women of childbearing age after transcervical resection of polyps (TCRP) and to construct a nomogram model predicting this recurrence. Methods: We selected 190 patients with Endometrial polyps (EP) who underwent surgical treatment in our hospital between December 2017 and December 2018. Multivariate logistic regression analysis was used to analyze the factors affecting the recurrence of TCRP in women of childbearing age, and the calibration curve. The receiver operating characteristic (ROC) was used to assess the efficacy of the nomogram model for predicting recurrence in women of childbearing age; Kaplan Meier curve analysis of recurrence rates among patients with different factors. Results: Body mass index (odds ratio (OR) = 5.417, 95% confidence interval (CI) = 1.344–21.834), polyp diameter (OR = 3.595, 95% CI = 1.27–10.703), gravidity (OR = 3.647, 95% CI = 1.224–10.869), and polycystic ovary syndrome (OR = 3.625, 95% CI = 1.169–11.244) are independent risk factors for recurrence after TCRP in women of childbearing age (p < 0.05). The slope of the calibration curve is close to 1, the area under the receiver operating characteristic is 0.781 (95% CI = 0.669–0.894), and the Hosmer Lemeshow goodness of fit test = 8.720, p = 0.366. Conclusion: The nomogram model constructed in this study is conducive to predicting the recurrence of women of childbearing age after TCRP, and may be helpful for preventing and treating polyp recurrence.

Keywords

• endometrial polyps
• women of childbearing age
• transcervical resection of polyps
• influencing factors
• nomogram