Impact of Surgical Experience Before Robot-assisted Partial Nephrectomy on Surgical Outcomes : A Multicenter Analysis of 2500 Patients
© 2022 The Author(s)..
Background: Robot-assisted partial nephrectomy (RAPN) is a challenging procedure that is influenced by a multitude of factors.
Objective: To assess the impact of prior surgical experience on perioperative outcomes in RAPN.
Design setting and participants: In this retrospective multicenter study, results for 2548 RAPNs performed by 25 surgeons at eight robotic referral centers were analyzed. Perioperative data for all consecutive RAPNs from the start of each individual surgeon's experience were collected, as well as the number of prior open or laparoscopic kidney surgeries, pelvic surgeries (open, laparoscopic, robotic), and other robotic interventions.
Intervention: Transperitoneal or retroperitoneal RAPN.
Outcome measurements and statistical analysis: The impact of prior surgical experience on operative time, warm ischemia time (WIT), major complications, and margin, ischemia, complication (MIC) score (negative surgical margins, WIT ≤20 min, no major complications) was assessed via univariate and multivariable regression analyses accounting for age, gender, body mass index (BMI), American Society of Anesthesiologists score, PADUA score, and RAPN experience.
Results and limitations: BMI, PADUA score, and surgical experience in RAPN had a strong impact on perioperative outcomes. A plateau effect for the learning curve was not observed. Prior laparoscopic kidney surgery significantly reduced the operative time (p < 0.001) and WIT (p < 0.001) and improved the MIC rate (p = 0.022). A greater number of prior robotic pelvic interventions decreased WIT (p = 0.011) and the rate of major complications (p < 0.001) and increased the MIC rate (p = 0.011), while prior experience in open kidney surgery did not. One limitation is the short-term follow-up.
Conclusions: Mastering of RAPN is an ongoing learning process. However, prior experience in laparoscopic kidney and robot-assisted pelvic surgery seems to improve perioperative outcomes for surgeons when starting with RAPN, while experience in open surgery might not be crucial.
Patient summary: In this multicenter analysis, we found that a high degree of experience in keyhole kidney surgery and robot-assisted pelvic surgery helps surgeons in achieving good initial outcomes when starting robot-assisted kidney surgery.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2022 |
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| Erschienen: |
2022 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:46 |
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| Enthalten in: |
European urology open science - 46(2022) vom: 06. Dez., Seite 45-52 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Harke, Nina N [VerfasserIn] |
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Journal Article |
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| Anmerkungen: |
Date Revised 21.12.2022 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1016/j.euros.2022.10.003 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM350184437 |
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| 100 | 1 | |a Harke, Nina N |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Impact of Surgical Experience Before Robot-assisted Partial Nephrectomy on Surgical Outcomes |b A Multicenter Analysis of 2500 Patients |
| 264 | 1 | |c 2022 | |
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| 500 | |a Date Revised 21.12.2022 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a © 2022 The Author(s). | ||
| 520 | |a Background: Robot-assisted partial nephrectomy (RAPN) is a challenging procedure that is influenced by a multitude of factors | ||
| 520 | |a Objective: To assess the impact of prior surgical experience on perioperative outcomes in RAPN | ||
| 520 | |a Design setting and participants: In this retrospective multicenter study, results for 2548 RAPNs performed by 25 surgeons at eight robotic referral centers were analyzed. Perioperative data for all consecutive RAPNs from the start of each individual surgeon's experience were collected, as well as the number of prior open or laparoscopic kidney surgeries, pelvic surgeries (open, laparoscopic, robotic), and other robotic interventions | ||
| 520 | |a Intervention: Transperitoneal or retroperitoneal RAPN | ||
| 520 | |a Outcome measurements and statistical analysis: The impact of prior surgical experience on operative time, warm ischemia time (WIT), major complications, and margin, ischemia, complication (MIC) score (negative surgical margins, WIT ≤20 min, no major complications) was assessed via univariate and multivariable regression analyses accounting for age, gender, body mass index (BMI), American Society of Anesthesiologists score, PADUA score, and RAPN experience | ||
| 520 | |a Results and limitations: BMI, PADUA score, and surgical experience in RAPN had a strong impact on perioperative outcomes. A plateau effect for the learning curve was not observed. Prior laparoscopic kidney surgery significantly reduced the operative time (p < 0.001) and WIT (p < 0.001) and improved the MIC rate (p = 0.022). A greater number of prior robotic pelvic interventions decreased WIT (p = 0.011) and the rate of major complications (p < 0.001) and increased the MIC rate (p = 0.011), while prior experience in open kidney surgery did not. One limitation is the short-term follow-up | ||
| 520 | |a Conclusions: Mastering of RAPN is an ongoing learning process. However, prior experience in laparoscopic kidney and robot-assisted pelvic surgery seems to improve perioperative outcomes for surgeons when starting with RAPN, while experience in open surgery might not be crucial | ||
| 520 | |a Patient summary: In this multicenter analysis, we found that a high degree of experience in keyhole kidney surgery and robot-assisted pelvic surgery helps surgeons in achieving good initial outcomes when starting robot-assisted kidney surgery | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Learning curve | |
| 650 | 4 | |a Renal cell carcinoma | |
| 650 | 4 | |a Robot-assisted partial nephrectomy | |
| 650 | 4 | |a Robot-assisted surgery | |
| 650 | 4 | |a Surgical experience | |
| 700 | 1 | |a Kuczyk, Markus A |e verfasserin |4 aut | |
| 700 | 1 | |a Huusmann, Stephan |e verfasserin |4 aut | |
| 700 | 1 | |a Schiefelbein, Frank |e verfasserin |4 aut | |
| 700 | 1 | |a Schneller, Andreas |e verfasserin |4 aut | |
| 700 | 1 | |a Schoen, Georg |e verfasserin |4 aut | |
| 700 | 1 | |a Wiesinger, Clemens |e verfasserin |4 aut | |
| 700 | 1 | |a Pfuner, Jacob |e verfasserin |4 aut | |
| 700 | 1 | |a Ubrig, Burkhard |e verfasserin |4 aut | |
| 700 | 1 | |a Gloger, Simon |e verfasserin |4 aut | |
| 700 | 1 | |a Osmonov, Daniar |e verfasserin |4 aut | |
| 700 | 1 | |a Eraky, Ahmed |e verfasserin |4 aut | |
| 700 | 1 | |a Witt, Jörn H |e verfasserin |4 aut | |
| 700 | 1 | |a Liakos, Nikolaos |e verfasserin |4 aut | |
| 700 | 1 | |a Wagner, Christian |e verfasserin |4 aut | |
| 700 | 1 | |a Hadaschik, Boris A |e verfasserin |4 aut | |
| 700 | 1 | |a Radtke, Jan-Philipp |e verfasserin |4 aut | |
| 700 | 1 | |a Al Nader, Mulham |e verfasserin |4 aut | |
| 700 | 1 | |a Imkamp, Florian |e verfasserin |4 aut | |
| 700 | 1 | |a Siemer, Stefan |e verfasserin |4 aut | |
| 700 | 1 | |a Stöckle, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Zeuschner, Philip |e verfasserin |4 aut | |
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