Your browser doesn't support javascript.
loading
Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors.
Crocerossa, Fabio; Fiori, Cristian; Capitanio, Umberto; Minervini, Andrea; Carbonara, Umberto; Pandolfo, Savio D; Loizzo, Davide; Eun, Daniel D; Larcher, Alessandro; Mari, Andrea; Grosso, Antonio Andrea; Di Maida, Fabrizio; Hampton, Lance J; Cantiello, Francesco; Damiano, Rocco; Porpiglia, Francesco; Autorino, Riccardo.
Afiliación
  • Crocerossa F; Division of Urology, VCU Health, Richmond, VA, USA.
  • Fiori C; Department of Urology, Magna Graecia University, Catanzaro, Italy.
  • Capitanio U; Division of Urology, San Luigi Hospital, University of Turin, Orbassano, Italy.
  • Minervini A; Unit of Urology, Division of Experimental Oncology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Carbonara U; Department of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
  • Pandolfo SD; Division of Urology, VCU Health, Richmond, VA, USA.
  • Loizzo D; Department of Urology, Andrology and Kidney Transplantation Unit, University of Bari, Bari, Italy.
  • Eun DD; Division of Urology, VCU Health, Richmond, VA, USA.
  • Larcher A; Division of Urology, VCU Health, Richmond, VA, USA.
  • Mari A; Department of Urology, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
  • Grosso AA; Unit of Urology, Division of Experimental Oncology, Urological Research Institute, IRCCS Ospedale San Raffaele, Milan, Italy.
  • Di Maida F; Department of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
  • Hampton LJ; Department of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
  • Cantiello F; Department of Experimental and Clinical Medicine, Unit of Oncologic Minimally-Invasive Urology and Andrology, Careggi University Hospital, University of Florence, Florence, Italy.
  • Damiano R; Division of Urology, VCU Health, Richmond, VA, USA.
  • Porpiglia F; Department of Urology, Magna Graecia University, Catanzaro, Italy.
  • Autorino R; Department of Urology, Magna Graecia University, Catanzaro, Italy.
Eur Urol Open Sci ; 38: 52-59, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35495283
ABSTRACT

Background:

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.

Objective:

To identify variables influencing long-term renal function after PN and to assess their relative weight. Design setting and

participants:

A total of 457 patients who underwent either robotic (n = 412) or laparoscopic PN (n = 45) were identified from a multicenter international database. Outcome measurements and statistical

analysis:

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. Results and

limitations:

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.

Conclusions:

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. Patient

summary:

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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Urol Open Sci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Eur Urol Open Sci Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
...