2021
DOI: 10.1055/s-0040-1721355
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Is it Possible to Predict Massive Bleeding in Nulliparous Women with Placenta Previa?

Abstract: Objective We evaluated risk factors to determine if there were specific risk factors that could predict massive bleeding in nulliparous women with placenta previa. Methods The participants were classified into two groups. Women with a calculated blood loss ≥ 1,000 mL were included in the massive bleeding group. Women without any signs or symptoms related with hypovolemia or with a calculated bleeding volume < 1,000 mL were categorized into the non-massive bleeding group. Results There we… Show more

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Cited by 4 publications
(1 citation statement)
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“…4 Despite the clinical significance of acute hemorrhage due to its life-threatening characteristics and the need for urgent preparation of massive transfusion to enable optimal management, the development of a prediction model for massive transfusion during surgery is lacking. Several studies have tried to predict massive transfusion during specific types of high-risk procedures, such as liver transplantation, [5][6][7] cardiac surgery, [8][9][10] placenta previa, 11,12 and spine surgery, 13 but the performances of the prediction models were low, with an area under the receiver operating characteristic curve (AUROC) of 0.65 to 0.84. These low predictive powers may originate from the fact that models developed in previous studies were solely based on preoperative factors without incorporating dynamic intraoperative parameters.…”
Section: Introductionmentioning
confidence: 99%
“…4 Despite the clinical significance of acute hemorrhage due to its life-threatening characteristics and the need for urgent preparation of massive transfusion to enable optimal management, the development of a prediction model for massive transfusion during surgery is lacking. Several studies have tried to predict massive transfusion during specific types of high-risk procedures, such as liver transplantation, [5][6][7] cardiac surgery, [8][9][10] placenta previa, 11,12 and spine surgery, 13 but the performances of the prediction models were low, with an area under the receiver operating characteristic curve (AUROC) of 0.65 to 0.84. These low predictive powers may originate from the fact that models developed in previous studies were solely based on preoperative factors without incorporating dynamic intraoperative parameters.…”
Section: Introductionmentioning
confidence: 99%