Predictive Factors for Pelvic Organ Prolapse (POP) in Iranian Women’s: An Ordinal Logistic Approch

Abstract

Introduction: To investigate the predictors factors of Pelvic Organ Prolapse (POP) in Iranian women by using ordinal logistic regression. Materials and Methods: The role of risk factors of POP was evaluated among 365 patients attending in two public centres in Ilam province, Iran. Exclusion criteria were of single, pregnant and lactate women receiving hormone replacement therapy. Both the unvaried and multi-variate ordinal logistic regression were used to find the predictive factors of POP and computing sensitivity and specificity of models. Results: In multi-variate ordinal logistic regression the variables of Body Mass Index (BMI) Maximum Birth Weight (MBW) and delivery mode were the most important factors for prediction of prolapse stage. The sensitivity and specificity of multi-variate ordinal logistic, as a screening test, were 95.7% and 48.7% respectively. Conclusion: BMI, MBW and delivery mode can use for prediction of POP stage. Stage of prolapse is an ordinal variable, therefore to show relationship between stage of prolapse and other variables ordinal logistic regression is an appropriate model.

Keywords

• ordinal logistic regression
• pelvic organ prolapse
• dorsal lithotomy position