TY - JOUR
T1 - Pre-operative evaluation of spontaneous portosystemic shunts as a predictor of post-hepatectomy liver failure in patients undergoing liver resection for hepatocellular carcinoma
AU - Rompianesi, Gianluca
AU - Han, Ho Seong
AU - Fusai, Giuseppe
AU - Lopez-Ben, Santiago
AU - Maestri, Marcello
AU - Ercolani, Giorgio
AU - Di Martino, Marcello
AU - Diaz-Nieto, Rafael
AU - Ielpo, Benedetto
AU - Perez-Alonso, Alejandro
AU - Morare, Nolitha
AU - Casellas, Margarida
AU - Gallotti, Anna
AU - de la Hoz Rodriguez, Angela
AU - Burdio, Fernando
AU - Ravaioli, Federico
AU - Venetucci, Pietro
AU - Lo Bianco, Emanuela
AU - Ceriello, Arianna
AU - Montalti, Roberto
AU - Troisi, Roberto Ivan
N1 - Publisher Copyright:
© 2024 The Authors
PY - 2024
Y1 - 2024
N2 - Background: Post-hepatectomy liver failure (PHLF) can significantly compromise outcomes, especially in cirrhotic patients. The identification of accurate and non-invasive pre-operative predictors is of paramount importance to appropriately stratify patients according to their estimated risk and select the best treatment strategy. Materials and methods: Consecutive patients undergoing liver resection for HCC on cirrhosis between 1-2015 and 12–2020 at 10 international Institutions were enrolled and their pre-operative CT scans were evaluated for the presence of spontaneous portosystemic shunts (SPSS) to identify predictors of PHLF and develop a nomogram. Results: The analysis of the CT scans identified SPSS in 74 patients (17.4 %). PHLF was developed in 27 out of 425 cases (6.4 %), with grades B/C observed in 17 patients (4 %). At the multivariable analysis, the presence of SPSS resulted an independent risk factor for all-grades PHLF (OR 6.83, 95%CI 2.39–19.51, p < 0.001) and clinically significant PHLF development (OR 7.92, 95%CI 2.03–30.85, p = 0.003) alongside a patient's age ≥74 years, a pre-operative platelets count <106x103/μL, a multiple-segments liver resection, and an intraoperative blood loss ≥1200 mL. The 30- and 90-days mortality in patients with and without SPSS resulted 2.7 % vs 0.3 % (p = 0.024) and 5.4 % vs 1.1 % (p = 0.014). The accuracy of SPSS in predicting PHLF development was 0.847 (95%n CI 0.809–0.880). The internally validated nomogram showed excellent performance in predicting grades B/C PHLF (c-statistic = 0.933 (95%CI 0.888–0.979)). Conclusion: The pre-operative presence of SPSS assessed on the pre-operative imaging proved to be a valuable radiological biomarker able to predict PHLF development in patients undergoing liver resection for HCC.
AB - Background: Post-hepatectomy liver failure (PHLF) can significantly compromise outcomes, especially in cirrhotic patients. The identification of accurate and non-invasive pre-operative predictors is of paramount importance to appropriately stratify patients according to their estimated risk and select the best treatment strategy. Materials and methods: Consecutive patients undergoing liver resection for HCC on cirrhosis between 1-2015 and 12–2020 at 10 international Institutions were enrolled and their pre-operative CT scans were evaluated for the presence of spontaneous portosystemic shunts (SPSS) to identify predictors of PHLF and develop a nomogram. Results: The analysis of the CT scans identified SPSS in 74 patients (17.4 %). PHLF was developed in 27 out of 425 cases (6.4 %), with grades B/C observed in 17 patients (4 %). At the multivariable analysis, the presence of SPSS resulted an independent risk factor for all-grades PHLF (OR 6.83, 95%CI 2.39–19.51, p < 0.001) and clinically significant PHLF development (OR 7.92, 95%CI 2.03–30.85, p = 0.003) alongside a patient's age ≥74 years, a pre-operative platelets count <106x103/μL, a multiple-segments liver resection, and an intraoperative blood loss ≥1200 mL. The 30- and 90-days mortality in patients with and without SPSS resulted 2.7 % vs 0.3 % (p = 0.024) and 5.4 % vs 1.1 % (p = 0.014). The accuracy of SPSS in predicting PHLF development was 0.847 (95%n CI 0.809–0.880). The internally validated nomogram showed excellent performance in predicting grades B/C PHLF (c-statistic = 0.933 (95%CI 0.888–0.979)). Conclusion: The pre-operative presence of SPSS assessed on the pre-operative imaging proved to be a valuable radiological biomarker able to predict PHLF development in patients undergoing liver resection for HCC.
KW - Hepatocellular carcinoma
KW - Liver resection
KW - Liver surgery
KW - Post-hepatectomy liver failure
KW - Spontaneous portosystemic shunts
UR - http://www.scopus.com/inward/record.url?scp=85207708791&partnerID=8YFLogxK
U2 - 10.1016/j.ejso.2024.108778
DO - 10.1016/j.ejso.2024.108778
M3 - Article
SN - 0748-7983
JO - European Journal of Surgical Oncology
JF - European Journal of Surgical Oncology
M1 - 108778
ER -