Correlation between serum prealbumin and prognosis of patients with hepatocellular carcinoma after hepatectomy.

OBJECTIVE: To determine whether serum prealbumin levels are associated with long-term survival after hepatectomy in patients with primary hepatocellular carcinoma(HCC). METHODS: A consecutive sample of 526 patients with HCC who underwent potentially curative hepatectomy from August 2007 to August 2010 was retrospectively analyzed. Patients were classified as having normal or reduced serum prealbumin based on cut-off values of 200 or 182 mg/L. RESULTS: Multivariate analysis identified the preoperative level of serum prealbumin as an independent prognostic factor of long-term survival (P < 0.05): Survival was significantly better for those with normal levels than for those with reduced levels, based on either cut-off value. Similar results were observed in subgroup analyses based on the degree of cirrhosis, level of ɑ-fetoprotein and Barcelona Clinic Liver Cancer stage. CONCLUSIONS: Preoperative level of serum prealbumin may be useful for predicting long-term survival in patients with HCC after hepatectomy.

Factors influencing recurrence and model development for recurrence of minimally invasive percutaneous transhepatic lithotripsy: a single-center retrospective study.

OBJECTIVE: To identify factors influencing recurrence after percutaneous transhepatic choledochoscopic lithotripsy (PTCSL) and to develop a predictive model. METHODS: We retrospectively analyzed clinical data from 354 patients with intrahepatic and extrahepatic bile duct stones treated with PTCSL at Qinzhou First People's Hospital between February 2018 and January 2020. Patients were followed for three years and categorized into non-recurrence and recurrence groups based on postoperative outcome. Univariate analysis identified possible predictors of stone recurrence. Data were split using the gradient boosting machine (GBM) algorithm, assigning 70% as the training set and 30% as the test set. The predictive performance of the GBM model was assessed using the receiver operating characteristic (ROC) curve and calibration curve, and compared with a logistic regression model. RESULTS: Six factors were identified as significant predictors of recurrence: age, diabetes, total bilirubin, biliary stricture, number of stones, and stone diameter. The GBM model, developed based on these factors, showed high predictive accuracy. The area under the ROC curve (AUC) was 0.763 (95% CI: 0.695-0.830) for the training set and 0.709 (95% CI: 0.596-0.822) for the test set. Optimal cutoff values were 0.286 and 0.264, with sensitivities of 62.30% and 66.70%, and specificities of 77.20% and 68.50%, respectively. Calibration curves indicated good agreement between predicted probabilities and observed recurrence rates in both sets. DeLong's test revealed no significant differences between the GBM and logistic regression models in predictive performance (training set: D = 0.003, P = 0.997 > 0.05; test set: D = 0.075, P = 0.940 > 0.05). CONCLUSION: Biliary stricture, stone diameter, diabetes, stone number, age, and total bilirubin significantly influence stone recurrence after PTCSL. The GBM model, based on these factors, demonstrates robust accuracy and discrimination. Both GBM and logistic regression models effectively predicted stone recurrence post-PTCSL.

Adjuvant immune checkpoint inhibitors associated with higher recurrence-free survival in postoperative hepatocellular carcinoma (PREVENT): a prospective, multicentric cohort study.

BACKGROUND: Adjuvant therapy may improve survival of patients with hepatocellular carcinoma (HCC) after curative resection. This study compared safety and efficacy outcomes between patients at high risk of recurrence who received different types of adjuvant therapy or no such therapy after hepatic resection for HCC. METHODS: Recurrence-free survival (RFS), overall survival, and adverse events were compared among patients who received adjuvant immune checkpoint inhibitors (ICIs) alone, ICIs with tyrosine kinase inhibitors (TKIs), or no adjuvant therapy between 13 March 2019 and 19 March 2022. This study was registered on ClinicalTrials.gov (NCT05221398). RESULTS: Of the 517 patients in final analysis, 432 (83.6%) received no adjuvant therapy, 53 (10.2%) received ICIs alone, and 32 (6.2%) received adjuvant ICIs and TKIs. During median follow-up of 34.0 months (IQR 27.8 to 41.6 months), RFS was significantly longer among patients who received either type of adjuvant therapy (25.2 months, 95%CI 16.4-34.0) than among those who received none (16.1 months, 95%CI 12.9-19.4), and this difference remained significant after propensity score matching (HR 0.52, 95%CI 0.35-0.76, P = 0.004). Overall survival was unaffected by either type of adjuvant therapy, while significant difference was observed between patients who received adjuvant therapy or not after propensity score matching (HR 0.31, 95%CI 0.17-0.59, P = 0.005). The rate of grade 3 or 4 adverse events was similar between the two types of adjuvant therapy. CONCLUSIONS: ICIs alone or with TKIs may improve RFS of patients at high risk of HCC recurrence after curative resection.