Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy?
This study aims to evaluate the abdominal aortic atherosclerotic plaque index (API)’s predictive role in patients with pre-operatively or post-operatively developed chronic kidney disease (CKD) treated with robot-assisted partial nephrectomy (RAPN) for renal cell carcinoma (RCC). One hundred and eig...
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MDPI AG
2023-10-01
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Series: | Diagnostics |
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Online Access: | https://www.mdpi.com/2075-4418/13/21/3327 |
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author | Alessandro Veccia Emanuele Serafin Alessandro Tafuri Sarah Malandra Bogdan Maris Giulia Tomelleri Alessandro Spezia Enrico Checcucci Pietro Piazza Severin Rodler Loic Baekelandt Karl-Friedrich Kowalewski Ines Rivero Belenchon Mark Taratkin Stefano Puliatti Pieter De Backer Juan Gomez Rivas Giovanni Enrico Cacciamani Giulia Zamboni Paolo Fiorini Alessandro Antonelli |
author_facet | Alessandro Veccia Emanuele Serafin Alessandro Tafuri Sarah Malandra Bogdan Maris Giulia Tomelleri Alessandro Spezia Enrico Checcucci Pietro Piazza Severin Rodler Loic Baekelandt Karl-Friedrich Kowalewski Ines Rivero Belenchon Mark Taratkin Stefano Puliatti Pieter De Backer Juan Gomez Rivas Giovanni Enrico Cacciamani Giulia Zamboni Paolo Fiorini Alessandro Antonelli |
author_sort | Alessandro Veccia |
collection | DOAJ |
description | This study aims to evaluate the abdominal aortic atherosclerotic plaque index (API)’s predictive role in patients with pre-operatively or post-operatively developed chronic kidney disease (CKD) treated with robot-assisted partial nephrectomy (RAPN) for renal cell carcinoma (RCC). One hundred and eighty-three patients (134 with no pre- and post-operative CKD (no CKD) and 49 with persistent or post-operative CKD development (post-op CKD)) who underwent RAPN between January 2019 and January 2022 were deemed eligible for the analysis. The API was calculated using dedicated software by assessing the ratio between the CT scan atherosclerotic plaque volume and the abdominal aortic volume. The ROC regression model demonstrated the influence of API on CKD development, with an increasing effect according to its value (coefficient 0.13; 95% CI 0.04–0.23; <i>p</i> = 0.006). The Model 1 multivariable analysis of the predictors of post-op CKD found that the following are independently associated with post-op CKD: Charlson Comorbidity Index (OR 1.31; <i>p</i> = 0.01), last follow-up (FU) Δ%eGFR (OR 0.95; <i>p</i> < 0.01), and API ≥ 10 (OR 25.4; <i>p</i> = 0.01). Model 2 showed API ≥ 10 as the only factor associated with CKD development (OR 25.2; <i>p</i> = 0.04). The median follow-up was 22 months. Our results demonstrate API to be a strong predictor of post-operative CKD, allowing the surgeon to tailor the best treatment for each patient, especially in those who might be at higher risk of CKD. |
first_indexed | 2024-03-11T11:31:25Z |
format | Article |
id | doaj.art-26d27f907f60442b86d06a2d0fb6cb37 |
institution | Directory Open Access Journal |
issn | 2075-4418 |
language | English |
last_indexed | 2024-03-11T11:31:25Z |
publishDate | 2023-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Diagnostics |
spelling | doaj.art-26d27f907f60442b86d06a2d0fb6cb372023-11-10T15:00:59ZengMDPI AGDiagnostics2075-44182023-10-011321332710.3390/diagnostics13213327Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy?Alessandro Veccia0Emanuele Serafin1Alessandro Tafuri2Sarah Malandra3Bogdan Maris4Giulia Tomelleri5Alessandro Spezia6Enrico Checcucci7Pietro Piazza8Severin Rodler9Loic Baekelandt10Karl-Friedrich Kowalewski11Ines Rivero Belenchon12Mark Taratkin13Stefano Puliatti14Pieter De Backer15Juan Gomez Rivas16Giovanni Enrico Cacciamani17Giulia Zamboni18Paolo Fiorini19Alessandro Antonelli20Department of Urology, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, ItalyDepartment of Urology, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, ItalyDepartment of Urology, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, ItalyDepartment of Surgery, Dentistry, Pediatrics and Gynecology, University of Verona, Azienda Ospedaliera Universitaria Integrata (AOUI) Verona, 37126 Verona, ItalyDepartment of Computer Science, University of Verona, 37126 Verona, ItalyDepartment of Radiology, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, ItalyDepartment of Radiology, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, ItalyDepartment of Surgery, Candiolo Cancer Institute, FPO-IRCCS, 10060 Turin, ItalyDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, ItalyDepartment of Urology, LMU University Hospital, LMU Munich, 81377 Munich, GermanyDepartment of Urology, University Hospitals Leuven, 3000 Leuven, BelgiumDepartment of Urology, University Medical Center Mannheim, University of Heidelberg, 69117 Mannheim, GermanyUrology and Nephrology Department, Virgen del Rocío University Hospital, Manuel Siurot s/n, 41013 Seville, SpainInstitute for Urology and Reproductive Health, Sechenov University, 119992 Moscow, RussiaDepartment of Urology, University of Modena and Reggio Emilia, 41126 Modena, ItalyORSI Academy, 9090 Melle, BelgiumDepartment of Urology, Hospital Clinico San Carlos, 28040 Madrid, SpainUSC Institute of Urology, University of Southern California, Los Angeles, CA 90007, USADepartment of Surgery, Dentistry, Pediatrics and Gynecology, University of Verona, Azienda Ospedaliera Universitaria Integrata (AOUI) Verona, 37126 Verona, ItalyDepartment of Computer Science, University of Verona, 37126 Verona, ItalyDepartment of Urology, Azienda Ospedaliera Universitaria Integrata Verona, 37126 Verona, ItalyThis study aims to evaluate the abdominal aortic atherosclerotic plaque index (API)’s predictive role in patients with pre-operatively or post-operatively developed chronic kidney disease (CKD) treated with robot-assisted partial nephrectomy (RAPN) for renal cell carcinoma (RCC). One hundred and eighty-three patients (134 with no pre- and post-operative CKD (no CKD) and 49 with persistent or post-operative CKD development (post-op CKD)) who underwent RAPN between January 2019 and January 2022 were deemed eligible for the analysis. The API was calculated using dedicated software by assessing the ratio between the CT scan atherosclerotic plaque volume and the abdominal aortic volume. The ROC regression model demonstrated the influence of API on CKD development, with an increasing effect according to its value (coefficient 0.13; 95% CI 0.04–0.23; <i>p</i> = 0.006). The Model 1 multivariable analysis of the predictors of post-op CKD found that the following are independently associated with post-op CKD: Charlson Comorbidity Index (OR 1.31; <i>p</i> = 0.01), last follow-up (FU) Δ%eGFR (OR 0.95; <i>p</i> < 0.01), and API ≥ 10 (OR 25.4; <i>p</i> = 0.01). Model 2 showed API ≥ 10 as the only factor associated with CKD development (OR 25.2; <i>p</i> = 0.04). The median follow-up was 22 months. Our results demonstrate API to be a strong predictor of post-operative CKD, allowing the surgeon to tailor the best treatment for each patient, especially in those who might be at higher risk of CKD.https://www.mdpi.com/2075-4418/13/21/3327robot-assisted partial nephrectomyabdominal aortic plaque atherosclerotic indexchronic kidney disease |
spellingShingle | Alessandro Veccia Emanuele Serafin Alessandro Tafuri Sarah Malandra Bogdan Maris Giulia Tomelleri Alessandro Spezia Enrico Checcucci Pietro Piazza Severin Rodler Loic Baekelandt Karl-Friedrich Kowalewski Ines Rivero Belenchon Mark Taratkin Stefano Puliatti Pieter De Backer Juan Gomez Rivas Giovanni Enrico Cacciamani Giulia Zamboni Paolo Fiorini Alessandro Antonelli Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy? Diagnostics robot-assisted partial nephrectomy abdominal aortic plaque atherosclerotic index chronic kidney disease |
title | Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy? |
title_full | Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy? |
title_fullStr | Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy? |
title_full_unstemmed | Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy? |
title_short | Can the Abdominal Aortic Atherosclerotic Plaque Index Predict Functional Outcomes after Robot-Assisted Partial Nephrectomy? |
title_sort | can the abdominal aortic atherosclerotic plaque index predict functional outcomes after robot assisted partial nephrectomy |
topic | robot-assisted partial nephrectomy abdominal aortic plaque atherosclerotic index chronic kidney disease |
url | https://www.mdpi.com/2075-4418/13/21/3327 |
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