Impact of Mayo Adhesive Probability score and BMI on renal functional decline after robotic assisted partial nephrectomy

Fuente: Wiley Open Access
Salvato in:
Dettagli Bibliografici
Autori principali: Cesare Saitta, Marco Paciotti, Giovanni Lughezzani, Giuseppe Garofano, Margaret F. Meagher, Kit L. Yuen, Vittorio Fasulo, Roberto Contieri, Pier Paolo Avolio, Andrea Piccolini, Paola Arena, Matilde Mantovani, Edoardo Beatrici, Marta Calatroni, Francesco Reggiani, Rodolfo F. Hurle, Massimo Lazzeri, Alberto Saita, Paolo Casale, Ithaar H. Derweesh, Nicolò M. Buffi
Natura: Artículo Open Access
Pubblicazione: Wiley 2024
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1867013286416875520
author Cesare Saitta
Marco Paciotti
Giovanni Lughezzani
Giuseppe Garofano
Margaret F. Meagher
Kit L. Yuen
Vittorio Fasulo
Roberto Contieri
Pier Paolo Avolio
Andrea Piccolini
Paola Arena
Matilde Mantovani
Edoardo Beatrici
Marta Calatroni
Francesco Reggiani
Rodolfo F. Hurle
Massimo Lazzeri
Alberto Saita
Paolo Casale
Ithaar H. Derweesh
Nicolò M. Buffi
author_facet Cesare Saitta
Marco Paciotti
Giovanni Lughezzani
Giuseppe Garofano
Margaret F. Meagher
Kit L. Yuen
Vittorio Fasulo
Roberto Contieri
Pier Paolo Avolio
Andrea Piccolini
Paola Arena
Matilde Mantovani
Edoardo Beatrici
Marta Calatroni
Francesco Reggiani
Rodolfo F. Hurle
Massimo Lazzeri
Alberto Saita
Paolo Casale
Ithaar H. Derweesh
Nicolò M. Buffi
Cesare Saitta
Marco Paciotti
Giovanni Lughezzani
Giuseppe Garofano
Margaret F. Meagher
Kit L. Yuen
Vittorio Fasulo
Roberto Contieri
Pier Paolo Avolio
Andrea Piccolini
Paola Arena
Matilde Mantovani
Edoardo Beatrici
Marta Calatroni
Francesco Reggiani
Rodolfo F. Hurle
Massimo Lazzeri
Alberto Saita
Paolo Casale
Ithaar H. Derweesh
Nicolò M. Buffi
collection Wiley Open Access
contents Impact of Mayo Adhesive Probability score and BMI on renal functional decline after robotic assisted partial nephrectomy Cesare Saitta Marco Paciotti Giovanni Lughezzani Giuseppe Garofano Margaret F. Meagher Kit L. Yuen Vittorio Fasulo Roberto Contieri Pier Paolo Avolio Andrea Piccolini Paola Arena Matilde Mantovani Edoardo Beatrici Marta Calatroni Francesco Reggiani Rodolfo F. Hurle Massimo Lazzeri Alberto Saita Paolo Casale Ithaar H. Derweesh Nicolò M. Buffi BJUI Compass AbstractPurposeThe purpose of this study is to investigate the impact of Mayo Adhesive Probability (MAP) score and body mass index (BMI) on renal function decline after robotic assisted partial nephrectomy (RAPN).MethodsWe queried our prospective database for patients who underwent RAPN between January 2018 and December 2023. Outcomes were development of de novo CKD‐S3 (estimated glomerular filtration rate [eGFR] < 60 ml/min/1.73 m2). Multivariable analysis (MVA) via Cox regression identified predictors for CKD‐S3. Kaplan–Meier Analyses was fitted for survival assessment. Finally, multivariable linear regression was utilized to identify predictors of delta eGFR at last follow‐up (preoperative eGFR—last eGFR).ResultsTwo‐hundred fifty‐eight patients were analysed (obese n = 49 [19%]; MAP score 0–2 = 135 [52.33%]; MAP score 3–5 = 123 [47.6%]) with a median follow‐up of 33 (IQR 20–42) months. MVA revealed, high MAP score (HR 2.29, p = 0.019), increasing RENAL score (HR 1.26, p = 0.009), increasing age (HR 1.04, p = 0.003), obesity (HR 2.38, p = 0.006) and diabetes mellitus (HR 2.38, p = 0.005) as associated with increased risk of development of CKD‐S3, while trifecta achievement was not (p = 0.63). Comparing low MAP score versus high MAP score 4‐year CKD‐S3 free survival was 87.8% versus 56.1% (p < 0.001). Multivariable linear regression showed that high MAP score (coefficient 6.64, p = 0.001) and BMI (coefficient 0.51, p = 0.011) were significantly associated with increased delta eGFR at last follow up.ConclusionsMAP score and increasing BMI are predictor for long term renal functional detrimental. These insights may call consideration for closer follow‐up or greater medical scrutiny prior surgery in obese patients and with elevated MAP score. Further investigations are requisite. 10.1002/bco2.417 http://creativecommons.org/licenses/by/4.0/
doi_str_mv 10.1002/bco2.417
format Artículo Open Access
id wiley_oa_10_1002_bco2_417
institution Wiley Open Access
license_str_mv http://creativecommons.org/licenses/by/4.0/
publishDate 2024
publisher Wiley
record_format wiley_oa
spellingShingle Impact of Mayo Adhesive Probability score and BMI on renal functional decline after robotic assisted partial nephrectomy
Cesare Saitta
Marco Paciotti
Giovanni Lughezzani
Giuseppe Garofano
Margaret F. Meagher
Kit L. Yuen
Vittorio Fasulo
Roberto Contieri
Pier Paolo Avolio
Andrea Piccolini
Paola Arena
Matilde Mantovani
Edoardo Beatrici
Marta Calatroni
Francesco Reggiani
Rodolfo F. Hurle
Massimo Lazzeri
Alberto Saita
Paolo Casale
Ithaar H. Derweesh
Nicolò M. Buffi
BJUI Compass
Impact of Mayo Adhesive Probability score and BMI on renal functional decline after robotic assisted partial nephrectomy Cesare Saitta Marco Paciotti Giovanni Lughezzani Giuseppe Garofano Margaret F. Meagher Kit L. Yuen Vittorio Fasulo Roberto Contieri Pier Paolo Avolio Andrea Piccolini Paola Arena Matilde Mantovani Edoardo Beatrici Marta Calatroni Francesco Reggiani Rodolfo F. Hurle Massimo Lazzeri Alberto Saita Paolo Casale Ithaar H. Derweesh Nicolò M. Buffi BJUI Compass AbstractPurposeThe purpose of this study is to investigate the impact of Mayo Adhesive Probability (MAP) score and body mass index (BMI) on renal function decline after robotic assisted partial nephrectomy (RAPN).MethodsWe queried our prospective database for patients who underwent RAPN between January 2018 and December 2023. Outcomes were development of de novo CKD‐S3 (estimated glomerular filtration rate [eGFR] < 60 ml/min/1.73 m2). Multivariable analysis (MVA) via Cox regression identified predictors for CKD‐S3. Kaplan–Meier Analyses was fitted for survival assessment. Finally, multivariable linear regression was utilized to identify predictors of delta eGFR at last follow‐up (preoperative eGFR—last eGFR).ResultsTwo‐hundred fifty‐eight patients were analysed (obese n = 49 [19%]; MAP score 0–2 = 135 [52.33%]; MAP score 3–5 = 123 [47.6%]) with a median follow‐up of 33 (IQR 20–42) months. MVA revealed, high MAP score (HR 2.29, p = 0.019), increasing RENAL score (HR 1.26, p = 0.009), increasing age (HR 1.04, p = 0.003), obesity (HR 2.38, p = 0.006) and diabetes mellitus (HR 2.38, p = 0.005) as associated with increased risk of development of CKD‐S3, while trifecta achievement was not (p = 0.63). Comparing low MAP score versus high MAP score 4‐year CKD‐S3 free survival was 87.8% versus 56.1% (p < 0.001). Multivariable linear regression showed that high MAP score (coefficient 6.64, p = 0.001) and BMI (coefficient 0.51, p = 0.011) were significantly associated with increased delta eGFR at last follow up.ConclusionsMAP score and increasing BMI are predictor for long term renal functional detrimental. These insights may call consideration for closer follow‐up or greater medical scrutiny prior surgery in obese patients and with elevated MAP score. Further investigations are requisite. 10.1002/bco2.417 http://creativecommons.org/licenses/by/4.0/
title Impact of Mayo Adhesive Probability score and BMI on renal functional decline after robotic assisted partial nephrectomy
topic BJUI Compass
url https://bjui-journals.onlinelibrary.wiley.com/doi/10.1002/bco2.417