Arpad Ivanecz1, Irena Plahuta2, Tomislav Magdalenić2, Bojan Ilijevec2, Matej Mencinger3,4,5, Iztok Peruš3,6, Stojan Potrč2. 1. Department of Abdominal and General Surgery, University Medical Center Maribor, Ljubljanska 5, 2000, Maribor, Slovenia. arpad.ivanecz@ukc-mb.si. 2. Department of Abdominal and General Surgery, University Medical Center Maribor, Ljubljanska 5, 2000, Maribor, Slovenia. 3. Faculty of Civil Engineering, Transportation Engineering and Architecture, University of Maribor, Smetanova ulica 17, 2000, Maribor, Slovenia. 4. Center of Applied Mathematics and Theoretical Physics, University of Maribor, Mladinska 3, 2000, Maribor, Slovenia. 5. Institute of Mathematics, Physics and Mechanics, Jadranska 19, 1000, Ljubljana, Slovenia. 6. Faculty of Natural Science and Engineering, University of Ljubljana, Aškerčeva cesta 12, 1000, Ljubljana, Slovenia.
Abstract
BACKGROUND: This study aimed to externally validate the Iwate scoring model and its prognostic value for predicting the risks of intra- and postoperative complications of laparoscopic liver resection. METHODS: Consecutive patients who underwent pure laparoscopic liver resection between 2008 and 2019 at a single tertiary center were included. The Iwate scores were calculated according to the original proposition (four difficulty levels based on six indices). Intra- and postoperative complications were compared across difficulty levels. Fitting the obtained data to the cumulative density function of the Weibull distribution and a linear function provided the mean risk curves for intra- and postoperative complications, respectively. RESULTS: The difficulty levels of 142 laparoscopic liver resections were scored as low, intermediate, advanced, and expert level in 41 (28.9%), 53 (37.3%), 32 (22.5%), and 16 (11.3%) patients, respectively. Intraoperative complications were detected in 26 (18.3%) patients and its rates (2.4%, 7.5%, 34.3%, and 62.5%) increased gradually with statistically significant values among difficulty levels (P ˂ 0.001). Major postoperative complications occurred in 21 (14.8%) patients and its rates (4.8%, 5.6%, 28.1%, 43.7%; P ˂ 0.001) showed the same trend as for intraoperative complications. Then, the mean risk curves of both complications were obtained. Due to outliers, a new threshold for a tumor size index was proposed at 38 mm. The repeated analysis showed improved results. CONCLUSIONS: The Iwate scoring model predicts the probability of complications across difficulty levels. Our proposed tumor size threshold (38 mm) improves the quality of the prediction. The model is upgraded by a probability of complications for every difficulty score.
BACKGROUND: This study aimed to externally validate the Iwate scoring model and its prognostic value for predicting the risks of intra- and postoperative complications of laparoscopic liver resection. METHODS: Consecutive patients who underwent pure laparoscopic liver resection between 2008 and 2019 at a single tertiary center were included. The Iwate scores were calculated according to the original proposition (four difficulty levels based on six indices). Intra- and postoperative complications were compared across difficulty levels. Fitting the obtained data to the cumulative density function of the Weibull distribution and a linear function provided the mean risk curves for intra- and postoperative complications, respectively. RESULTS: The difficulty levels of 142 laparoscopic liver resections were scored as low, intermediate, advanced, and expert level in 41 (28.9%), 53 (37.3%), 32 (22.5%), and 16 (11.3%) patients, respectively. Intraoperative complications were detected in 26 (18.3%) patients and its rates (2.4%, 7.5%, 34.3%, and 62.5%) increased gradually with statistically significant values among difficulty levels (P ˂ 0.001). Major postoperative complications occurred in 21 (14.8%) patients and its rates (4.8%, 5.6%, 28.1%, 43.7%; P ˂ 0.001) showed the same trend as for intraoperative complications. Then, the mean risk curves of both complications were obtained. Due to outliers, a new threshold for a tumor size index was proposed at 38 mm. The repeated analysis showed improved results. CONCLUSIONS: The Iwate scoring model predicts the probability of complications across difficulty levels. Our proposed tumor size threshold (38 mm) improves the quality of the prediction. The model is upgraded by a probability of complications for every difficulty score.
Authors: Go Wakabayashi; Daniel Cherqui; David A Geller; Joseph F Buell; Hironori Kaneko; Ho Seong Han; Horacio Asbun; Nicholas OʼRourke; Minoru Tanabe; Alan J Koffron; Allan Tsung; Olivier Soubrane; Marcel Autran Machado; Brice Gayet; Roberto I Troisi; Patrick Pessaux; Ronald M Van Dam; Olivier Scatton; Mohammad Abu Hilal; Giulio Belli; Choon Hyuck David Kwon; Bjørn Edwin; Gi Hong Choi; Luca Antonio Aldrighetti; Xiujun Cai; Sean Cleary; Kuo-Hsin Chen; Michael R Schön; Atsushi Sugioka; Chung-Ngai Tang; Paulo Herman; Juan Pekolj; Xiao-Ping Chen; Ibrahim Dagher; William Jarnagin; Masakazu Yamamoto; Russell Strong; Palepu Jagannath; Chung-Mau Lo; Pierre-Alain Clavien; Norihiro Kokudo; Jeffrey Barkun; Steven M Strasberg Journal: Ann Surg Date: 2015-04 Impact factor: 12.969