European Urology Open Science · 2022 · 42 citations · 34 references
MedicineBiostatisticsSurgeryBayesian BiostatisticsLaparoscopic UrologyRenal PathophysiologyLaparoscopic NephrectomyLaparoscopic Renal SurgeryPartial NephrectomyRenal DiseaseRenal Function TestsRenal ImpairmentEstimated Glomerular Filtration Rate DeclineImpaired Kidney FunctionPrognostic Prediction ModelsRenal Function CovariatesRenal Outcome AssessmentRobot-assisted Partial NephrectomyRobotic NephrectomyRobotic-assisted Partial Nephrectomy
Long-term renal function after partial nephrectomy (PN) is difficult to predict as it is influenced by several modifiable and nonmodifiable variables, often intertwined in complex relations. To identify variables influencing long-term renal function after PN and to assess their relative weight. A total of 457 patients who underwent either robotic (n = 412) or laparoscopic PN (n = 45) were identified from a multicenter international database. The 1-yr estimated glomerular filtration rate (eGFR) percentage loss (1YPL), defined as the eGFR percentage change from baseline at 1 yr after surgery, was the outcome endpoint. Predictors evaluated included demographic data, tumor features, and operative and postoperative variables. Bayesian multimodel analysis of covariance was used to build all possible models and compare the fit of each model to the data via model Bayes factors. Bayesian model averaging was used to quantify the support for each predictor via the inclusion Bayes factor (BFincl). High-dimensional undirected graph estimation was used for network analysis of conditional independence between predictors. Several models were found to be plausible for estimation of 1YPL. The best model, comprising postoperative eGFR percentage loss (PPL), sex, ischemia technique, and preoperative eGFR, was 207 times more likely than all the other models regarding relative predictive performance. Its components were part of the top 44 models and were the predictors with the highest BFincl. The role of cold ischemia, solitary kidney status, surgeon experience, and type of renorraphy was not assessed. Preoperative eGFR, sex, ischemia technique, and PPL are the best predictors of eGFR percentage loss at 1 yr after minimally invasive PN. Other predictors seem to be irrelevant, as their influence is insignificant or already nested in the effect of these four parameters. Kidney function at 1 year after partial removal of a kidney depends on sex, the technique used to halt blood flow to the kidney during surgery, and kidney function at baseline and in the early postoperative period.
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Every Minute Counts When the Renal Hilum Is Clamped During Partial Nephrectomy
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