Objective To analyze the predictive factors in hemorrhagic complications(HCs)following robot-assisted partial nephrectomy(RAPN)in renal tumor patients.Methods The bas-ic clinical,surgical,and postoperative pathological data of 317 patients undergoing RAPN between March 2021 and January 2023 were analyzed.Patients with postoperative hemoglobin decrease＞3g/dl,arterial venous fistula or pseudoaneurysm requiring blood transfusion or therapeutic intervention were included in the bleeding group.Propensity score matching(PSM)balanced confounding factors between groups,and independent predictors of HCs after RAPN were determined through univariate and multivariate logistic regression analyses.Results Of the 317 patients included in this study,29(9.15％)had HCs.After ensuring parameter consistency through PSM control,27 cases of pa-tients with HCs after RAPN were matched with 27 cases of patients without HCs.Univariate logis-ticregression analysis showed that R.E.N.A.L.score≥ 10(OR=5.92,95％CI=2.36-14.82),surgical time≥130 minutes(OR=6.21,95％CI=1.94-19.84),and warm ischemia time≥23 mi-nutes(OR=3.60,95％CI=1.42-9.13)are significant factors influencing the occurrence of HCs after RAPN.Multivariate logistic regression analysis showed that R.E.N.A.L.score≥ 10(OR=5.03,95％CI=2.78-9.10),operative time≥130 minutes(OR=1.02,95％CI=1.01-1.03)and warm ischemia time≥23 minutes(OR=1.15,95％CI=1.05-1.26)were independent risk factors for HCs after RAPN.Conclusions Patients with preoperative R.E.N.A.L.score ≥10,operative time≥130 minutes and warm ischemia time≥23 minutes are more likely to have HCs after RAPN.
维普
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