RISK OF RETAINED PLACENTA - MULTIVARIATE APPROACH

Background. To identify important covariates related to retained place nta using logistic regression analysis. Method's. The study was carrie d out in the King Khalid University Hospital, Saudi Arabia, and involv ed 114 women who had retained placenta, and 116 women with normal deli veries. Chi-square lest and logistic regression analysis were used for analysis of data. Adequacy of predictor variables was examined using indices of sensitivity and specificity and plots of probability histog rams for prediction of retained placenta among patients and controls. Results. Logistic regression analysis highlighted multiparity, induced labor, small placenta, and large amount of blood loss to be significa ntly associated with retained placenta. In addition, high pregnancy nu mber, previous injury to uterus, and pre-term labor related significan tly to retained placenta. Predictor variables had sensitivity of 65.5% and 87.9% specificity and achieved 77% overall correct classification . Conclusions. These findings could be used to develop a predictive pr ocedure for identifying high-risk cases of retained placenta.