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KMID : 1101620230340020069
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Perinatology
2023 Volume.34 No. 2 p.69 ~ p.75
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Predictive Model of Massive Hemorrhage in Pregnant Women of Previous Cesarean Section with Placenta Previa
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Choi Myeong-Gyun
Jo Eun-Byeol
Kim Jong-Woon
Kim Yoon-Ha
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Abstract
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Objective: The aim of this study was to develop a model to predict massive hemorrhage during cesarean section in pregnant women of previous cesarean section with placenta previa. Based on this model, we developed an equation of massive hemorrhage in pregnant women of previous cesarean section with placenta previa.
Methods: We retrospectively reviewed 218 patients with previous cesarean section and placenta previa who underwent cesarean section from January 2011 to December 2021. Massive hemorrhage was defined as a blood loss exceeding 2,000 mL during operation. The data was analyzed by independent t-test, Pearson chi-squared test. Multivariate logistic regression analysis was used to develop a predictive model and identify factors predictive for massive hemorrhage.
Results: A total of 53 patients (24.3%) had massive hemorrhage. Number of parity, anterior placenta, presence of lacuna, abnormalities of uterine serosa-bladder interface, extension of placenta into myometrium, serosa and bladder were selected predictive factors to develop a model to predict massive hemorrhage. Based on this model, an equation was developed and tested for performance. This model using five predictive factors yielded an area under the receiver operating characteristics curve of 0.886 (95% confidence interval, 0.83-0.93).
Conclusion: Application of this predictive model may provide an effective prediction of massive hemorrhage in patients of previous cesarean section with placenta previa. Adequate preoperative preparation, intraoperative strategies, postoperative care can be indicated based on this model.
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KEYWORD
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Placenta previa, Hemorrhage, Cesarean section
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