Development and validation of nomograms for predicting blood loss in placenta previa with placenta increta or percreta.

ABSTRACT:

Background

To develop the risk prediction model of intraoperative massive blood loss in placenta previa with placenta increta or percreta.

Methods

This study included 260 patients, of whom 179 were allocated to the development group and 81 to the validation group. Univariate and multivariate logistic regression analyses were used to identify characteristics that were associated with massive blood loss (≥2,500 mL) during cesarean section. A nomogram was constructed based on regression coefficients. Receiver-operating characteristic curve, calibration curve, and decision curve analyses were applied to assess the discrimination, calibration, and performance of the model.

Results

Two models were constructed. The preoperative feature model (model A) consisted of vascular l

SUBMITTER: Lu R 

PROVIDER: S-EPMC7944278 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature