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Napoli, Niccolò
[VerfasserIn];
Cacace, Concetta
[VerfasserIn];
Kauffmann, Emanuele F.
[VerfasserIn];
Jones, Leia
[VerfasserIn];
Ginesini, Michael
[VerfasserIn];
Gianfaldoni, Cesare
[VerfasserIn];
Salamone, Alice
[VerfasserIn];
Asta, Fabio
[VerfasserIn];
Ripolli, Allegra
[VerfasserIn];
Di Dato, Armando
[VerfasserIn];
Busch, Olivier R.
[VerfasserIn];
Cappelle, Marie L.
[VerfasserIn];
Chao, Ying Jui
[VerfasserIn];
de Wilde, Roeland F.
[VerfasserIn];
Hackert, Thilo
[VerfasserIn];
Jang, Jin-Young
[VerfasserIn];
Koerkamp, Bas Groot
[VerfasserIn];
Kwon, Wooil
[VerfasserIn];
Lips, Daan
[VerfasserIn];
Luyer, Misha D. P.
[VerfasserIn];
Nickel, Felix
[VerfasserIn];
Saint-Marc, Olivier
[VerfasserIn];
Shan, Yan-Shen
[VerfasserIn];
Shen, Baiyong
[VerfasserIn];
[...]
The PD-ROBOSCORE
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- Medientyp: E-Artikel
- Titel: The PD-ROBOSCORE : a difficulty score for robotic pancreatoduodenectomy
- Beteiligte: Napoli, Niccolò [VerfasserIn]; Cacace, Concetta [VerfasserIn]; Kauffmann, Emanuele F. [VerfasserIn]; Jones, Leia [VerfasserIn]; Ginesini, Michael [VerfasserIn]; Gianfaldoni, Cesare [VerfasserIn]; Salamone, Alice [VerfasserIn]; Asta, Fabio [VerfasserIn]; Ripolli, Allegra [VerfasserIn]; Di Dato, Armando [VerfasserIn]; Busch, Olivier R. [VerfasserIn]; Cappelle, Marie L. [VerfasserIn]; Chao, Ying Jui [VerfasserIn]; de Wilde, Roeland F. [VerfasserIn]; Hackert, Thilo [VerfasserIn]; Jang, Jin-Young [VerfasserIn]; Koerkamp, Bas Groot [VerfasserIn]; Kwon, Wooil [VerfasserIn]; Lips, Daan [VerfasserIn]; Luyer, Misha D. P. [VerfasserIn]; Nickel, Felix [VerfasserIn]; Saint-Marc, Olivier [VerfasserIn]; Shan, Yan-Shen [VerfasserIn]; Shen, Baiyong [VerfasserIn]; Vistoli, Fabio [VerfasserIn]; Besselink, Marc G. [VerfasserIn]; Hilal, Mohammad Abu [VerfasserIn]; Boggi, Ugo [VerfasserIn]
-
Erschienen:
June 2023
- Erschienen in: Surgery ; 173(2023), 6 vom: Juni, Seite 1438-1446
- Sprache: Englisch
- DOI: 10.1016/j.surg.2023.02.020
- ISSN: 1532-7361
- Identifikator:
- Entstehung:
-
Anmerkungen:
Online verfügbar: 25. März 2023, Artikelversion: 17. Mai 2023
- Beschreibung: Background - Difficulty scoring systems are important for the safe, stepwise implementation of new procedures. We designed a retrospective observational study for building a difficulty score for robotic pancreatoduodenectomy. - Methods - The difficulty score (PD-ROBOSCORE) aims at predicting severe postoperative complications after robotic pancreatoduodenectomy. The PD-ROBOSCORE was developed in a training cohort of 198 robotic pancreatoduodenectomies and was validated in an international multicenter cohort of 686 robotic pancreatoduodenectomies. Finally, all centers tested the model during the early learning curve (n = 300). Growing difficulty levels (low, intermediate, high) were defined using cut-off values set at the 33rd and 66th percentile (NCT04662346). - Results - Factors included in the final multivariate model were a body mass index of ≥25 kg/m2 for males and ≥30 kg/m2 for females (odds ratio:2.39; P < .0001), borderline resectable tumor (odd ratio:1.98; P < .0001), uncinate process tumor (odds ratio:1.69; P < .0001), pancreatic duct size <4 mm (odds ratio:1.59; P < .0001), American Society of Anesthesiologists class ≥3 (odds ratio:1.59; P < .0001), and hepatic artery originating from the superior mesenteric artery (odds ratio:1.43; P < .0001). In the training cohort, the absolute score value (odds ratio = 1.13; P = .0089) and difficulty groups (odds ratio = 2.35; P = .041) predicted severe postoperative complications. In the multicenter validation cohort, the absolute score value predicted severe postoperative complications (odds ratio = 1.16, P < .001), whereas the difficulty groups did not (odds ratio = 1.94, P = .082). In the learning curve cohort, both absolute score value (odds ratio:1.078, P = .04) and difficulty groups (odds ratio: 2.25, P = .017) predicted severe postoperative complications. Across all cohorts, a PD-ROBOSCORE of ≥12.51 doubled the risk of severe postoperative complications. The PD-ROBOSCORE score also predicted operative time, estimated blood loss, and vein resection. The PD-ROBOSCORE predicted postoperative pancreatic fistula, delayed gastric emptying, postpancreatectomy hemorrhage, and postoperative mortality in the learning curve cohort. - Conclusion - The PD-ROBOSCORE predicts severe postoperative complications after robotic pancreatoduodenectomy. The score is readily available via www.pancreascalculator.com
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