Purpose: Although there are many studies on prealbumin in individual diseases such as malignant or inflammatory diseases, there are few comparative studies. This study aimed to compare the clinical differences between prealbumin levels in cholecystitis and pancreaticobiliary malignancies and investigate the clinical impact of low prealbumin levels in pancreaticobiliary malignancies.Methods: From June 2021 to September 2021, 61 patients who had undergone surgery for various pancreaticobiliary diseases were enrolled in this study, and their clinicopathological data were retrospectively analyzed.Results: Many elderly patients with malignant diseases had poor American Society of Anesthesiologists (ASA) scores, significantly lower albumin and prealbumin levels, and higher systemic immune inflammation indices. The low prealbumin group was older; had poorer ASA scores; and had significantly lower body mass index and hemoglobin and albumin levels and higher systemic immune inflammation indices than the normal prealbumin group. In malignant diseases, the low prealbumin group had significantly lower body mass index and hemoglobin levels and a tendency toward more advanced disease (lymph node and distant metastasis).Conclusion: Preoperative low prealbumin levels had an area under the receiver operator characteristic curve of 0.69, suggesting that it may be useful for predicting pancreaticobiliary malignancies. Prealbumin levels were lower in malignant diseases, possibly related to poor nutritional status and systemic immune inflammation. Low prealbumin levels may predict the risk of more advanced disease.

Despite its limited benefits, operative site drainage after elective hepatectomy is routinely used. This study aimed to investigate the safety and effectiveness of left lateral sectionectomy without operative site drainage. Methods: This study retrospectively collected data from 31 patients who underwent elective left lateral sectionectomy between January 2017 and June 2020. Based on whether operative site drainage was used, the patients were divided into two groups: drainage and non-drainage of the operative site and a comparative analysis was conducted. Results: A total of 31 patients underwent left lateral sectionectomy during the study period. Of these, 22 patients were diagnosed with hepatocellular carcinoma; three, with intrahepatic cholangiocarcinoma; three, with liver metastasis; and three, with benign liver disease. Ten patients underwent laparoscopy. No significant differences were observed between the open and laparoscopic surgery groups. In the univariate analysis, there were no significant differences in the pre-, intra-, and postoperative clinicopathological factors between the non-drainage and drainage groups. The hospitalization period in the non-drainage group was significantly shorter than in the drainage group (8.44 days vs. 5.87 days, p < 0.05). In the operative site drainage non-use group, there were no cases of intraperitoneal fluid collection requiring additional procedures. Conclusions: Routine use of surgical drainage for left lateral sectionectomy of the liver to prevent intraperitoneal fluid collection is unnecessary.

Aim To predict survival time of Korean hepatocellular carcinoma (HCC) patients using multi-center data as a foundation for the development of a predictive artificial intelligence model according to treatment methods based on machine learning. Methods Data of patients who underwent treatment for HCC from 2008 to 2015 was provided by Korean Liver Cancer Study Group and Korea Central Cancer Registry. A total of 10,742 patients with HCC were divided into two groups, with Group I (2920 patients) confirmed on biopsy and Group II (5562 patients) diagnosed as HCC according to HCC diagnostic criteria as outlined in Korean Liver Cancer Association guidelines. The data were modeled according to features of patient clinical characteristics. Features effective in predicting survival rate were analyzed retrospectively. Various machine learning methods were used. Results Target was overall survival time, which divided into approximately 60 months (= /< 60 m, > 60 m). Target distribution in Group I (total 514 samples) was 28.8%: (148 samples) less than 60 months, 71.2% (366 samples) greater than 60 months, and in Group II (total 757 samples) was 66.6% (504 samples) less than 60 months, 33.4% (253 samples) greater than 60 months. Using NG Boost method, its accuracy was 83%, precision 84%, sensitivity 95%, and F1 score 89% for more than 60 months survival time in Group I with surgical resection. Moreover, its accuracy was 79%, precision 82%, sensitivity 87%, and F1 score 84% for less than 60 months survival time in Group II with TACE. The feature importance with gain criterion indicated that pathology, portal vein invasion, surgery, metastasis, and needle biopsy features could be explained as important factors for prediction in case of biopsy (Group I). Conclusion By developing a predictive model using machine learning algorithms to predict prognosis of HCC patients, it is possible to project optimized treatment by case according to liver function and tumor status.

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Purpose: Resectable pancreatic ductal adenocarcinoma (PDAC) has a high risk of recurrence after curative resection; despite this, the preoperative risk factors for predicting early recurrence remain unclear. This study therefore aimed to identify preoperative inflammation and nutrition factors associated with early recurrence of resectable PDAC.Methods: From March 2021 to November 2021, a total of 20 patients who underwent curative resection for PDAC were enrolled in this study. We evaluated the risk factors for early recurrence within 1 year by univariate and multivariate analyses using Cox hazard proportional regression. The cutoff values for predicting recurrence were examined using receiver operating characteristic (ROC) curves.Results: In our univariate and multivariate analyses, C-reactive protein (CRP), CRP-albumin ratio, and CRP-prealbumin ratio, as well as sex and age, were significant independent prognostic factors for early recurrence in PDAC. However, known inflammatory factors (neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios), nutritional factors (albumin, prealbumin, ferritin, vitamin D), and inflammatory-nutritional factors (Glasgow Prognostic Score, modified Glasgow Prognostic Score, albumin-bilirubin) showed no association with early recurrence. In addition, using cutoff values by ROC curve analysis, a high preoperative CRP level of >5 mg/L, as well as high CRP-to-albumin (>5.3) and CRP-to-prealbumin (>1.3) ratios showed no prognostic value.Conclusion: Our results showed that inflammatory and perioperative nutritional factors, especially CRP-to-prealbumin ratio, have significant associations with early recurrence after curative resection in resectable PDAC. Therefore, for such patients, a cautious approach is needed when inflammation and poor nutritional status are present.

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