Correlation of An Ultrasonic Scoring System and Intraoperative Blood Loss in Placenta Accreta Spectrum Disorders: A Retrospective Cohort Study

Objective This study aims to investigate the correlation of an ultrasonic scoring system with intraoperative blood loss(IBL) in placenta accreta spectrum(PAS) disorders.Methods A retrospective cohort study was conducted between January 2015 and November 2019.Clinical data for patients with PAS have been obtained from medical records. Generalized additive models were used to explore the nonlinear relationships between ultrasonic scores and IBL. Logistic regressions were used to determine the differences in the risk of IBL ≥ 1,500 m L among groups with different ultrasonic scores.Results A total of 332 patients participated in the analysis. Generalized additive models showed a significant positive correlation between score and blood loss. The amount of IBL was increased due to the rise in the ultrasonic score. All cases were divided into three groups according to the scores(low score group: ≤ 6 points, n = 147;median score group: 7-9 points, n = 126;and high score group: ≥ 10 points, n = 59). Compared with the low score group, the high score group showed a higher risk of IBL≥ 1,500 m L [odds ratio, 15.09;95% confidence interval(3.85, 59.19);P ≤ 0.001] after a multivariable adjustment.Conclusions The risk of blood loss equal to or greater than 1,500 m L increases further when ultrasonic score greater than or equal to 10 points, the preparation for transfusion and referral mechanism should be considered.

Risk factors of major intraoperative blood loss at primary debulking surgery for ovarian cancer

Objective:The goal of this study was to find the risk factors for major intraoperative blood loss(MBL)of pr imary debulking surgery(PDS)for ovarian cancer.Methods:Patients wi th 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 logisde regr ession.Receiver operating characteristic(ROC)curve analysis was used to determine the predictive value of the logi stic regression model.Results:A total of 346 padients met the inclusion criteria.There were 150 patients with MBL.Tumor stage 3/4(P<0.001),American Society of Aneshesiologists(ASA)score 23(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).Conclusion:In padients 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 requir ements.

Role of intelligent/interactive qualitative and quantitative analysisthree-dimensional estimated model in donor-recipient size mismatch following deceased donor liver transplantation

BACKGROUND Donor-recipient size mismatch(DRSM)is considered a crucial factor for poor outcomes in liver transplantation(LT)because of complications,such as massive intraoperative blood loss(IBL)and early allograft dysfunction(EAD).Liver volumetry is performed routinely in living donor LT,but rarely in deceased donor LT(DDLT),which amplifies the adverse effects of DRSM in DDLT.Due to the various shortcomings of traditional manual liver volumetry and formula methods,a feasible model based on intelligent/interactive qualitative and quantitative analysis-three-dimensional(IQQA-3D)for estimating the degree of DRSM is needed.AIM To identify benefits of IQQA-3D liver volumetry in DDLT and establish an estimation model to guide perioperative management.METHODS We retrospectively determined the accuracy of IQQA-3D liver volumetry for standard total liver volume(TLV)(sTLV)and established an estimation TLV(eTLV)index(eTLVi)model.Receiver operating characteristic(ROC)curves were drawn to detect the optimal cut-off values for predicting massive IBL and EAD in DDLT using donor sTLV to recipient sTLV(called sTLVi).The factors influencing the occurrence of massive IBL and EAD were explored through logistic regression analysis.Finally,the eTLVi model was compared with the sTLVi model through the ROC curve for verification.RESULTS A total of 133 patients were included in the analysis.The Changzheng formula was accurate for calculating donor sTLV(P=0.083)but not for recipient sTLV(P=0.036).Recipient eTLV calculated using IQQA-3D highly matched with recipient sTLV(P=0.221).Alcoholic liver disease,gastrointestinal bleeding,and sTLVi>1.24 were independent risk factors for massive IBL,and drug-induced liver failure was an independent protective factor for massive IBL.Male donor-female recipient combination,model for end-stage liver disease score,sTLVi≤0.85,and sTLVi≥1.32 were independent risk factors for EAD,and viral hepatitis was an independent protective factor for EAD.The overall survival of patients in the 0.85<sTLVi<1.32 group was better compared to the sTLVi≤0.85 group and sTLVi≥1.32 group(P<0.001).There was no statistically significant difference in the area under the curve of the sTLVi model and IQQA-3D eTLVi model in the detection of massive IBL and EAD(all P>0.05).CONCLUSION IQQA-3D eTLVi model has high accuracy in predicting massive IBL and EAD in DDLT.We should follow the guidance of the IQQA-3D eTLVi model in perioperative management.