Perioperative Changes in Serum Transaminase Levels: Impact on Postoperative Morbidity Following Liver Resection of Hepatocellular Carcinoma.

OBJECTIVES: To define how dynamic changes in pre- versus post-operative serum aspartate aminotransferase (AST) and alanine aminotransaminase (ALT) levels may impact postoperative morbidity after curative-intent resection of hepatocellular carcinoma (HCC). BACKGROUND: Hepatic ischemia/reperfusion can occur at the time of liver resection and may be associated with adverse outcomes following liver resection. METHODS: Patients who underwent curative resection for HCC between 2010-2020 were identified from an international multi-institutional database. Changes in AST and ALT (CAA) on postoperative day (POD) 3 versus preoperative values () were calculated using the formula: based on a fusion index via Euclidean norm, which was examined relative to the comprehensive complication index (CCI). The impact of CAA on CCI was assessed by the restricted cubic spline regression and Random Forest analyses. RESULTS: A total of 759 patients were included in the analytic cohort. Median CAA was 1.7 (range, 0.9 to 3.25); 431 (56.8%) patients had a CAA<2, 215 (28.3%) patients with CAA 2-5, and 113 (14.9%) patients had CAA ≥5. The incidence of post-operative complications was 65.0% (n=493) with a median CCI of 20.9 (IQR, 20.9-33.5). Spline regression analysis demonstrated a non-linear incremental association between CAA and CCI. The optimal cutoff value of CAA=5 was identified by the recursive partitioning technique. After adjusting for other competing risk factors, CAA≥5 remained strongly associated with risk of post-operative complications (Ref. CAA<5, OR 1.63, 95%CI 1.05-2.55, P=0.03). In fact, the use of CAA to predict post-operative complications was very good in both the derivative (AUC 0.88) and external (ACU 0.86) cohorts (n=1137). CONCLUSIONS: CAA was an independent predictor of CCI after liver resection for HCC. Use of routine labs such as AST and ALT can help identify patients at highest risk of post-operative complications following HCC resection.

Perioperative Lymphopenia is Associated with Increased Risk of Recurrence and Worse Survival Following Hepatectomy for Hepatocellular Carcinoma.

INTRODUCTION: Immune dysregulation may be associated with cancer progression. We sought to investigate the prognostic value of perioperative lymphopenia on short- and long-term outcomes among patients undergoing resection of hepatocellular carcinoma (HCC). METHODS: Patients undergoing resection of HCC between 2000 and 2020 were identified using an international database. The incidence and impact of perioperative lymphopenia [preoperative, postoperative day (POD) 1/3/5], defined as absolute lymphocyte count (ALC) <1000/µL, on short- and long-term outcomes was assessed. RESULTS: Among 1448 patients, median preoperative ALC was 1593/µL [interquartile range (IQR) 1208-2006]. The incidence of preoperative lymphopenia was 14.0%, and 50.2%, 45.1% and 35.6% on POD1, POD3 and POD5, respectively. Preoperative lymphopenia predicted 5-year overall survival (OS) [lymphopenia vs. no lymphopenia: 49.1% vs. 66.1%] and 5-year disease-free survival (DFS) [25.0% vs. 41.5%] (both p < 0.05). Lymphopenia on POD1 (5-year OS: 57.1% vs. 71.2%; 5-year DFS: 30.0% vs. 41.1%), POD3 (5-year OS: 57.3% vs. 68.9%; 5-year DFS: 35.4% vs. 42.7%), and POD5 (5-year OS: 53.1% vs. 66.1%; 5-year DFS: 32.8% vs. 42.3%) was associated with worse long-term outcomes (all p < 0.05). Patients with severe lymphopenia (ALC <500/µL) on POD5 had worse 5-year OS and DFS (5-year OS: 44.7% vs. 54.3% vs. 66.1%; 5-year DFS: 27.8% vs. 33.3% vs. 42.3%) [both p < 0.05], as well as higher incidence of overall (45.5% vs. 25.3% vs. 30.9%; p = 0.013) and major complications (18.2% vs. 3.4% vs. 4.5%; p < 0.001) versus individuals with moderate (ALC 500-1000/µL) or no lymphopenia following hepatectomy for HCC. After adjusting for competing risk factors, prolonged lymphopenia was independently associated with higher hazards of death [hazard ratio (HR) 1.38, 95% CI 1.11-1.72] and recurrence (HR 1.22, 95% CI 1.02-1.45). CONCLUSION: Perioperative lymphopenia had short- and long-term prognostic implications among individuals undergoing hepatectomy for HCC.

The aMAP score predicts long-term outcomes after resection of hepatocellular carcinoma: a multi-institutional analysis.

BACKGROUND: The aMAP score is a proposed model to predict the development of hepatocellular carcinoma (HCC) among high-risk patients with chronic hepatitis. The role of the aMAP score to predict long-term survival among patients following resection of HCC has not been determined. METHODS: Patients undergoing resection for HCC between 2000 and 2020 were identified using a multi-institutional database. The impact of the aMAP score on long-term outcomes following HCC resection was assessed. RESULTS: Among 1377 patients undergoing resection for HCC, a total of 972 (70.6 %) patients had a low aMAP score (≤63), whereas 405 (29.4 %) individuals had a high aMAP score (≥64). aMAP score was associated with 5-year OS in the entire cohort (low vs high aMAP score:66.5 % vs. 54.3 %, p < 0.001). aMAP score predicted 5-year OS following resection among patients with HBV-HCC (low vs. high aMAP:68.8 % vs. 55.6 %, p = 0.01) and NASH/other-HCC (64.7 % vs. 53.7, p = 0.04). aMAP score could sub-stratify 5-year OS among patients undergoing HCC resection within (low vs. high aMAP:81.5 % vs. 67.4 %, p < 0.001) and beyond (55.9 % vs. 38.8 %, p < 0.001) Milan criteria. DISCUSSION: The aMAP score predicted postoperative outcomes following resection of HCC within and beyond Milan criteria. Apart from a surveillance tool, the aMAP score can also be used as a prognostic tool among patients undergoing resection of HCC.

Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique. METHODS: Data on patients undergoing resection for HCC were obtained from an international, multi-institutional database between 2000 and 2020. Gradient boosted trees were utilized to construct predictive models. RESULTS: Among 962 patients who underwent HCC resection, the incidence of severe postoperative complications was 12.7% (n = 122); in-hospital mortality was 2.9% (n = 28). Models that exclusively used preoperative data achieved AUC values of 0.89 (95%CI 0.85 to 0.92) and 0.90 (95%CI 0.84 to 0.96) to predict severe complications and mortality, respectively. Models that combined preoperative and postoperative data achieved AUC values of 0.93 (95%CI 0.91 to 0.96) and 0.92 (95%CI 0.86 to 0.97) for severe morbidity and mortality, respectively. The SHAP algorithm demonstrated that the factor most strongly predictive of severe morbidity and mortality was postoperative day 1 and 3 albumin-bilirubin (ALBI) scores. CONCLUSION: Incorporation of perioperative data including ALBI scores using ML techniques can help risk-stratify patients undergoing resection of HCC.

Prognostic significance of postoperative complications for patients with hepatocellular carcinoma relative to alpha-feto protein and tumor burden score.

BACKGROUND: We sought to elucidate the impact of postoperative complications on patient outcomes relative to differences in alpha-fetoprotein-tumor burden score (ATS) among patients with hepatocellular carcinoma (HCC). METHODS: Patients who underwent resection of HCC between 2000 and 2020 were identified from an international database. Moderate/severe complications were defined using the optimal cut-off value of the comprehensive complication index (CCI) based on the log-rank test. RESULTS: A total of 1124 patients was included. CCI cut-off value of 16.6 was identified as the optimal prognostic threshold. Patients who experienced moderate/severe complications were more likely to have worse recurrence free survival [RFS] versus individuals who had no/mild complications (2-year RFS; no/mild complication: 55.9% vs. moderate/severe complication: 38.1% p < 0.001). Of note, low and medium ATS patients who experienced moderate/severe complications had a higher risk of recurrence (2-year RFS; no/mild complication: postoperative complications 70.0% vs. moderate/severe complication: 51.1%, p = 0.006; medium: no/mild complication: 50.8% vs moderate/severe complication: 56.7%, p = 0.01); however, postoperative complications were not associated with worse outcomes among patients with high ATS (no/mild complication: 39.1% vs. moderate/severe complication: 29.2%, p = 0.20). CONCLUSION: These data serve to emphasize how reduction in postoperative complications may be crucial to improve prognosis, particularly among patients with favorable HCC characteristics.

Impact of an artificial intelligence based model to predict non-transplantable recurrence among patients with hepatocellular carcinoma.

OBJECTIVE: We sought to develop Artificial Intelligence (AI) based models to predict non-transplantable recurrence (NTR) of hepatocellular carcinoma (HCC) following hepatic resection (HR). METHODS: HCC patients who underwent HR between 2000-2020 were identified from a multi-institutional database. NTR was defined as recurrence beyond Milan Criteria. Different machine learning (ML) and deep learning (DL) techniques were used to develop and validate two prediction models for NTR, one using only preoperative factors and a second using both preoperative and postoperative factors. RESULTS: Overall, 1763 HCC patients were included. Among 877 patients with recurrence, 364 (41.5%) patients developed NTR. An ensemble AI model demonstrated the highest area under ROC curves (AUC) of 0.751 (95% CI: 0.719-0.782) and 0.717 (95% CI:0.653-0.782) in the training and testing cohorts, respectively which improved to 0.858 (95% CI: 0.835-0.884) and 0.764 (95% CI: 0.704-0.826), respectively after incorporation of postoperative pathologic factors. Radiologic tumor burden score and pathological microvascular invasion were the most important preoperative and postoperative factors, respectively to predict NTR. Patients predicted to develop NTR had overall 1- and 5-year survival of 75.6% and 28.2%, versus 93.4% and 55.9%, respectively, among patients predicted to not develop NTR (p < 0.0001). CONCLUSION: The AI preoperative model may help inform decision of HR versus LT for HCC, while the combined AI model can frame individualized postoperative care (https://altaf-pawlik-hcc-ntr-calculator.streamlit.app/).

The complication-overall survival (CompOS) risk tool predicts risk of a severe postoperative complications relative to long-term survival among patients with primary liver cancer.

BACKGROUND: This study aimed to develop a tool based on preoperative factors to predict the risk of perioperative complications based on the Comprehensive Complication Index (CCI) and long-term survival outcomes after liver resection for primary liver cancer. METHODS: Patients with hepatocellular carcinoma (HCC) or intrahepatic cholangiocarcinoma (ICC) undergoing curative-intent hepatectomy between 1990 and 2020 were identified using a multi-institutional international database. RESULTS: Among 1411 patients who underwent curative-intent hepatic resection (HCC: 997, 70.7%; ICC: 414, 29.3%), median patient age was 66.0 years (IQR, 57.0-73.0), and most patients were male (n = 1001, 70.9%). In the postoperative setting, 699 patients (49.5%) experienced a complication; moreover, 112 patients (7.9%) had major complications. Although most patients had a favorable risk complication-overall survival (CompOS) profile (CCI score > 40 risk of <30% and median survival of >5 years: n = 778, 55.1%), 553 patients (39.2%) had an intermediate-risk profile, and 80 patients (5.7%) had a very unfavorable risk profile (CCI score > 40 risk of ≥30% and/or median survival of ≤1.5 years). The areas under the curve of the test and validation cohorts were 0.73 and 0.76, respectively. CONCLUSION: The CompOS risk model accurately stratified patients relative to short- and long-term risks, identifying a subset of patients at a high risk of major complications and poor overall survival.

Textbook outcome in liver surgery: open vs minimally invasive hepatectomy among patients with hepatocellular carcinoma.

BACKGROUND: We sought to investigate whether minimally invasive hepatectomy (MIH) was superior to open hepatectomy (OH) in terms of achieving textbook outcome in liver surgery (TOLS) after resection of hepatocellular carcinoma (HCC). METHODS: Patients who underwent resection of HCC between 2000 and 2020 were identified from an international database. TOLS was defined by the absence of intraoperative grade ≥2 events, R1 resection margin, posthepatectomy liver failure, bile leakage, major complications, in-hospital mortality, and readmission. RESULTS: A total of 1039 patients who underwent HCC resection were included in the analysis. Although most patients underwent OH (n = 724 [69.7%]), 30.3% (n = 315) underwent MIH. Patients who underwent MIH had a lower tumor burden score (3.6 [IQR, 2.6-5.2] for MIH vs 6.1 [IQR, 3.9-10.1] for OH) and were more likely to undergo minor hepatectomy (84.1% [MIH] vs 53.6% [OH]) than patients who had an OH (both P < .001). After propensity score matching to control for baseline differences between the 2 cohorts, the incidence of TOLS was comparable among patients who had undergone MIH (56.6%) versus OH (64.8%) (P = .06). However, MIH was associated with a shorter length of hospital stay (6.0 days [IQR, 4.0-8.0] for MIH vs 9.0 days [IQR, 6.0-12.0] for OH). Among patients who had MIH, the odds ratio of achieving TOLS remained stable up to a tumor burden score of 4; after which the chance of TOLS with MIH markedly decreased. CONCLUSION: Patients with HCC who underwent resection with MIH versus OH had a comparable likelihood of TOLS, although MIH was associated with a short length of stay.