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Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors
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 thei...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051959/ https://www.ncbi.nlm.nih.gov/pubmed/35495283 http://dx.doi.org/10.1016/j.euros.2022.02.005 |
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author | 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 |
author_facet | 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 |
author_sort | Crocerossa, Fabio |
collection | PubMed |
description | 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 (BF(incl)). 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 BF(incl). 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. |
format | Online Article Text |
id | pubmed-9051959 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90519592022-04-30 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 Eur Urol Open Sci Kidney Cancer 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 (BF(incl)). 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 BF(incl). 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. Elsevier 2022-03-03 /pmc/articles/PMC9051959/ /pubmed/35495283 http://dx.doi.org/10.1016/j.euros.2022.02.005 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Kidney Cancer 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 Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors |
title | Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors |
title_full | Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors |
title_fullStr | Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors |
title_full_unstemmed | Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors |
title_short | Estimated Glomerular Filtration Rate Decline at 1 Year After Minimally Invasive Partial Nephrectomy: A Multimodel Comparison of Predictors |
title_sort | estimated glomerular filtration rate decline at 1 year after minimally invasive partial nephrectomy: a multimodel comparison of predictors |
topic | Kidney Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051959/ https://www.ncbi.nlm.nih.gov/pubmed/35495283 http://dx.doi.org/10.1016/j.euros.2022.02.005 |
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