MAP评分与RENAL评分联合预测中国人群机器人辅助肾部分切除术围手术期结果的多中心研究

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中图分类号 R737.1 R692 文献标识码A 文章编号 2096-7721（2025）08-1249-06

Combined MAP and RENAL scores for predicting perioperative outcomes of robot-assisted partial nephrectomy in Chinese population： a multicenter study

ZONG Zewen'，CHEN Bohong'，HUANG Haoxiang'，FENG Cong'，ZENG Jin'，CHEN Wei'，FU Bin，WU Dapeng' （1.DepartmntofUoltsdHialfiUeityXiai;ptofUl First Affiliated Hospital of Nanchang University，Nanchang 33oooo， China）

AbstractObjective：Toevaluate thepredictive valueofcombiningtheMayoahesive probability（MAP）score withtheRENALscore forperioperativeouomesinpatientsndergoingbotassistedpartialnephrectomy（AP）.Metods：Arrospctivealysisas conductedon5O3patientshounderwentRAPNfromJanuary2015andOctober2022attheFirstAfliatedHospitalofXi'anJiaotong UniversityandteFistAflatedHospitalofNanchangUniversityMutplepreoperativesorngsystemserecalclatedandpared fortheirabilitytopredictintraoperativeandpostoperativeoutcomes.Logisticregressionanalysis，receiveroperatingcharacteistic （ROC）curves，andnomograms wereused toasess thepredictiveperformanceof individual scoresandtheircombinations.Model discriminationandcalibration were further validatedusing Botstrapresampling anddecision curveanalysis.Results：In predicting MIC（Margin，Ischemia，andComplications），theRENALscoreoutperforedtheADUAscore，hiletheMAPandAPFsorsshowed similar predictiveperformance.MultivariateanalysisidentifiedMAP，APF，ndRENALscoresasindependentpredictorsofMIC.The combinationofRENLndMAPscoresyieldedthehghespredictiveacuracy（AUC=068）andshowedgoodclinicalutilityincalibation anddecisioncurveanalysis.Conclusion：ThecombinedmodelofRENALandMAPscoresshowsexcelentpredictivevalueforfavorable postoperativeoutcomsinRAPndcanserveasavaabletolforpreoperatieiskassessmentandindividuaizdsurgicaldcision making.

Keywords Robot-asssted Partial Nephrectomy; Kidney Tumor; Intraoperative Complication

机器人辅助肾部分切除术（Robot-AssistedPartialNephrectomy，RAPN）是一种广泛应用于局限性肾肿瘤的保肾手术技术[-4]。（剩余11760字）