Abstract
ObjectiveThe goal of this study was to find the risk factors for major intraoperative blood loss (MBL) of primary debulking surgery (PDS) for ovarian cancer. MethodsPatients with ovarian cancer who underwent PDS in our hospital, from 2010 to 2017, were enrolled. The association between risk factors and MBL was modeled with the use of logistic regression. Receiver operating characteristic (ROC) curve analysis was used to determine the predictive value of the logistic regression model. ResultsA total of 346 patients met the inclusion criteria. There were 150 patients with MBL. Tumor stage 3/4 (P < 0.001), American Society of Anesthesiologists (ASA) score ≥3 (P = 0.044), ascites volume ≥500 ml (P = 0.002), radical or ultra-radical surgery (P = 0.002), and diabetes (P = 0.035) were independent risk factors for MBL in patients with ovarian cancer. The logistic regression combined model of these five factors is more reliable in the prediction of MBL with an area under the ROC curve of 0.729 than the tumor stage (ROC curve = 0.645) and surgical complexity (ROC curve = 0.568). ConclusionIn patients with ovarian cancer, five risk factors for major intraoperative bleeding were identified. Planned surgical procedures and preoperative risk factors can be used to predict perioperative blood requirements.
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