机器人辅助肾部分切除术中发生低体温的危险因素及预测模型构建

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中图分类号 R692R737.11文献标识码A文章编号 2096-7721（2025）08-1260-06

Risk factors and prediction model for intraoperative hypothermia in robot-assisted partial nephrectomy

XU Yewei1，WANGLei'，ZHAORuizhe²

（1.Departetfstiloduery;2ptofUologuPrcalole'sosstlda ofNanjingMedical University，Nanjing21oo29，China）

AbstractObjectiveToinvestigatetheindependentriskfactorsforintraoperativehypothermia（IOH）inpatientsundergongrobot assistedpartialnephrectomy（RAPN）andestablishacorrspondingrisk prediction model.Methods： Clinicaldataof10renal tumorpatientswhounderwentRAPatJiangsuProvincialPeople'sHospitalfromJanuaryO23toJanuaryO25wereretrospectively analyzed.Patients were divided into the hypothermia group （n=38，core temperature Ω<36.0∘C ）and the normothermia group （n=82） based onintraoperativecoretemperature.UnivariateandmultivariateLogisticregresionanalyseswerepefoedtosreenriskfctorsand constructpredictivemodel，withodeleficacyevauatedusing thereceiveroperatingcharacteristic（OC）urve.Results：Uivarate analysisndaedataoidmpraueatfatiei，Idmpeaeetly associatediuceuliatesotfdpure（R9： 0.57），excessveigaionfidvue （OR2.6，9%CI：1.54～6），oloedrativetie（R=395%CI：1）A II （OR=2.34，95%CI：1.1～4.93），andlowrootemperaure（R=0.73，95%C1：0.54099）asdepedetiskfactorsforIOduring RAPN.The model achieved an AUC of 0.891， with sensitivity of 86.8% and specificity of 82.9% . Conclusion： The occurrence of IOH duringRAPNisoselysocatedwithigationmanageent，operatietie，dpatientpsioloicalstatus.Teiskpdiction modelbasedonthesekeyfactorshassignificantclinicalvalue，whichcanprovidequantitativeguidanceforintraoperativeteperature protection.

KeyWordsRoboticSurgicalSystem; PartialNephrectomy; Intraoperative Hypothermia; RiskFactor;PredictionModel

近年来，机器人辅助肾部分切除术（Robot-assistedPartialNephrectomy，RAPN）凭借其精准操作和微创优势，已成为治疗局限性肾肿瘤的主流术式之一[1-2]。（剩余9959字）