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The PD-ROBOSCORE:A difficulty score for robotic pancreatoduodenectomy

Authors :
Napoli, Niccolò
Cacace, Concetta
Kauffmann, Emanuele F.
Jones, Leia
Ginesini, Michael
Gianfaldoni, Cesare
Salamone, Alice
Asta, Fabio
Ripolli, Allegra
Di Dato, Armando
Busch, Olivier R.
Cappelle, Marie L.
Chao, Ying Jui
de Wilde, Roeland F.
Hackert, Thilo
Jang, Jin Young
Koerkamp, Bas Groot
Kwon, Wooil
Lips, Daan
Luyer, Misha D.P.
Nickel, Felix
Saint-Marc, Olivier
Shan, Yan Shen
Shen, Baiyong
Vistoli, Fabio
Besselink, Marc G.
Hilal, Mohammad Abu
Boggi, Ugo
Napoli, Niccolò
Cacace, Concetta
Kauffmann, Emanuele F.
Jones, Leia
Ginesini, Michael
Gianfaldoni, Cesare
Salamone, Alice
Asta, Fabio
Ripolli, Allegra
Di Dato, Armando
Busch, Olivier R.
Cappelle, Marie L.
Chao, Ying Jui
de Wilde, Roeland F.
Hackert, Thilo
Jang, Jin Young
Koerkamp, Bas Groot
Kwon, Wooil
Lips, Daan
Luyer, Misha D.P.
Nickel, Felix
Saint-Marc, Olivier
Shan, Yan Shen
Shen, Baiyong
Vistoli, Fabio
Besselink, Marc G.
Hilal, Mohammad Abu
Boggi, Ugo
Source :
Napoli , N , Cacace , C , International Consortium on Minimally Invasive Pancreatic Surgery (I-MIPS) , Kauffmann , E F , Jones , L , Ginesini , M , Gianfaldoni , C , Salamone , A , Asta , F , Ripolli , A , Di Dato , A , Busch , O R , Cappelle , M L , Chao , Y J , de Wilde , R F , Hackert , T , Jang , J Y , Koerkamp , B G , Kwon , W , Lips , D , Luyer , M D P , Nickel , F , Saint-Marc , O , Shan , Y S , Shen , B , Vistoli , F , Besselink , M G , Hilal , M A & Boggi , U 2023 , ' The PD-ROBOSCORE : A difficulty score for robotic pancreatoduodenectomy ' , Surgery (United States) , vol. 173 , no. 6 , pp. 1438-1446 .
Publication Year :
2023

Abstract

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-ROBOSCOR

Details

Database :
OAIster
Journal :
Napoli , N , Cacace , C , International Consortium on Minimally Invasive Pancreatic Surgery (I-MIPS) , Kauffmann , E F , Jones , L , Ginesini , M , Gianfaldoni , C , Salamone , A , Asta , F , Ripolli , A , Di Dato , A , Busch , O R , Cappelle , M L , Chao , Y J , de Wilde , R F , Hackert , T , Jang , J Y , Koerkamp , B G , Kwon , W , Lips , D , Luyer , M D P , Nickel , F , Saint-Marc , O , Shan , Y S , Shen , B , Vistoli , F , Besselink , M G , Hilal , M A & Boggi , U 2023 , ' The PD-ROBOSCORE : A difficulty score for robotic pancreatoduodenectomy ' , Surgery (United States) , vol. 173 , no. 6 , pp. 1438-1446 .
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1376785636
Document Type :
Electronic Resource