The survival outcomes and prognostic factors of hepatocellular carcinoma among type 2 diabetes patients: a two-centre retrospective cohort study.

BACKGROUND: To determine the survival outcomes and prognostic factors associated with hepatocellular carcinoma (HCC) survival in type 2 diabetes (T2D) patients. METHODS: This was a retrospective cohort study involving two hepatobiliary centres from January 1, 2012, to June 30, 2018. Medical records were analysed for sociodemographic, clinical characteristics, laboratory testing, and HCC treatment information. Survival outcomes were examined using the Kaplan-Meier and log-rank test. Prognostic factors were determined using multivariate Cox regression. RESULTS: A total of 212 patients were included in the study. The median survival time was 22 months. The 1-, 3-, and 5-year survival rates were 64.2%, 34.2%, and 18.0%, respectively. Palliative treatment (adjusted hazard ratio [AHR] = 2.82, 95% confidence interval [CI] 1.75-4.52), tumour size ≥ 5 cm (AHR = 2.02, 95%CI: 1.45-2.82), traditional medication (AHR = 1.94, 95%CI: 1.27-2.98), raised alkaline phosphatase (AHR = 1.74, 95%CI: 1.25-2.42), and metformin (AHR = 1.44, 95%CI: 1.03-2.00) were significantly associated with poor prognosis for HCC survival. Antiviral hepatitis treatment (AHR = 0.54, 95% CI: 0.34-0.87), nonalcoholic fatty liver disease (NAFLD) (AHR = 0.50, 95% CI: 0.30-0.84), and family history of malignancies (AHR = 0.50, 95%CI: 0.26-0.96) were identified as good prognostic factors for HCC survival. DISCUSSION: Traditional medication, metformin treatment, advanced stage and raised alkaline phosphatase were the poor prognostic factors, while antiviral hepatitis treatment, NAFLD, and family history of malignancies were the good prognostic factors for our HCC cases comorbid with T2D.

Intraoperative blood loss and blood transfusion requirement among liver transplant recipients: A national single-center experience 2020.

BACKGROUND: Liver transplantation (LT) is a complicated surgical procedure with high risk for massive intraoperative blood loss due to pre-existing coagulopathy, portosystemic shunts with collateral circulations, and splenomegaly. The transfusion service will direct most of their resources toward LT programs with great impact on cost. The purpose of this study was to evaluate single center transfusion strategies and to identify the risk factors associated with the intraoperative blood loss and blood transfusion. METHODS: The study includes 18 patients who underwent LT at Hospital Selayang between January 2020 and December 2020. Retrospective analysis of data included preoperative assessment of coagulopathy, intraoperative blood loss, and blood component transfusion. RESULTS: The mean age in the study group was 36.4 ± 12.68 years. The mean intraoperative blood loss was 4450 ± 1646 ml requiring 4.17 ± 3.3 packed red blood cell (PRBC) units, 7.56 ± 5.5 platelet units, and 9.50 ± 6.0 fresh-frozen plasma units. The independent risk factor for high blood loss (HBL) group was lower preoperative platelet count and it is statistically significant (P = 0.024). The HBL group is associated with higher usage of PRBC (P = 0.024) and platelet units (P = 0.031) and it is statistically significant. The length of stay (LOS) in intensive care unit (ICU) averaging 8.6 ± 4.95 days, and there is no significant differences comparing the HBL and LBL group (P = 0.552). The mortality <90 days for all recipients was 22.2%. CONCLUSION: The preoperative platelet count for is the most important factor associated with HBL in LT procedure. The usage of PRBC and platelet units was statistically higher in the HBL group. Comparing HBL and LBL patients, there is no difference in terms of the LOS in ICU postoperatively. A larger sample size would be needed in view of relatively small sample size.

Acute Cholangitis Secondary to a Clogged Biliary Stent: A Review on the Cause of Clogging and the Appropriate Time of Replacement.

Choledocholithiasis is preferably treated by endoscopic retrograde cholangiopancreatography (ERCP) with sphincterotomy and stone removal, to reduce the risk for acute cholangitis. Frequently, patients who are ill, surgically unfit, or unable to undergo stone extraction during the index procedure underwent antibacterial treatment and temporary biliary stenting via ERCP to prevent biliary sepsis and septic shock. After a period of convalescence, a repeat ERCP is scheduled to clear the bile duct and remove the stent, followed by laparoscopic cholecystectomy to complete the treatment circuit. Cholangitis may often recur in patients with an indwelling biliary stent while waiting for definitive treatment. Here, we present a case of a 42-year-old female with choledocholithiasis who developed moderate acute cholangitis 5 months after ERCP and insertion of a biliary plastic stent. She was provisionally diagnosed with obstructive jaundice with concurrent acute cholecystitis. Through intravenous antibacterial therapy, stent exchange, and an interval open cholecystectomy, she had fully recovered. We also discuss the underlying mechanism of stent blockage and the optimal interval for stent exchange after temporary placement for benign cases. Understanding the pathophysiology of stent clogging and recognizing the optimal interval for stent replacement may help reduce the risk of stent clogging and potentially fatal acute cholangitis.

Prediction of hepatocellular carcinoma risk in patients with type-2 diabetes using supervised machine learning classification model.

Background: Hepatocellular carcinoma (HCC) among type-2 diabetes (T2D) patients is an increasing burden to diabetes management. This study aims to develop and select the best machine learning (ML) classification model for predicting HCC in T2D for HCC early detection. Methods: A case-control study was conducted utilising computerised medical records in two hepatobiliary centres. The predictors were chosen using multiple logistic regression. IBM SPSS Modeler® was used to assess the discriminative performance of support vector machine (SVM), logistic regression (LR), artificial neural network (ANN), chi-square automatic interaction detection (CHAID), and their ensembles. Results: Subjects (N = 424) were split into 60% training (n = 248) and 40% testing (n = 176) groups. The independent predictors identified were race, viral hepatitis, abdominal pain/discomfort, unintentional weight loss, statins, alcohol consumption, non-alcoholic fatty liver, platelet <150 ×103/µL, alkaline phosphatase >129 IU/L, and alanine transaminase ≥25 IU/L. The performances of all models differed significantly (Cochran's Q-test,p = 0.001) but not between the ensembled and SVM model (McNemar test, p = 0.687). SVM model was selected as the best model due to its simplicity, high accuracy (85.28%), and high AUC (0.914). A web-based application was developed using the best model's algorithm for HCC prediction. Conclusions: If further validation studies confirm these results, the SVM model's application potentially augments early HCC detection in T2D patients.

Risk factors of hepatocellular carcinoma in type 2 diabetes patients: A two-centre study in a developing country.

Type 2 diabetes mellitus (T2DM) is increasingly known as a risk factor of hepatocellular carcinoma (HCC). In this study, we determined the risk factors associated with HCC in T2DM patients. This was a matched case-control study conducted at two hepatobiliary referral centres in a developing country. Patients' sociodemographic, clinical, and biochemical characteristics between 1 January 2012 and 30 June 2018 were extracted from the electronic medical records and analysed using multivariate logistic regression analysis. A total of 212 case-control pairs were included. Significant risk factors included Chinese and Malay ethnicities that interacted with viral hepatitis (adjusted odds ratio [AOR] = 11.77, 95% confidence interval [CI]: 1.39-99.79) and (AOR = 37.94, 95% CI: 3.92-367.61) respectively, weight loss (AOR = 5.28, 95% CI: 2.29-12.19), abdominal pain/ discomfort (AOR = 6.73, 95% CI: 3.34-13.34), alcohol (AOR = 4.08, 95% CI: 1.81-9.22), fatty liver (AOR = 3.29, 95% CI: 1.40-7.76), low platelet (AOR = 4.03, 95% CI:1.90-8.55), raised alanine transaminase (AOR = 2.11, 95% CI: 1.16-3.86). and alkaline phosphatase (ALP) levels (AOR = 2.17, 95% CI: 1.17-4.00). Statins reduced the risk of HCC by 63% (AOR = 0.37, 95% CI: 0.21-0.65). The identification of these factors aids the risk stratification for HCC among T2DM patients for early detection and decision-making in patient management in the primary care setting.

Expression of interleukin-18, interferon-gamma and interleukin-10 in hepatocellular carcinoma.

This is the first report on the detection of IL-18, IFN-gamma and IL-10 proteins in hepatocelllular carcinoma. In the apparently normal surrounding tissue, 13 out of 17 paired specimens showed positive immunoreactivity to IL-18 (76.5%) compared with six out of 17 in the tumour portion (35.3% of specimens). Thus, a significantly higher number of IL-18 positive specimens was found in the hepatocytes of apparently normal surrounding tissue compared with the tumour (P=0.018). In contrast, the number of specimens with positive immunoreactivity to the antibody against the Th1 cytokine, IFN-gamma expression in the hepatocytes was lower. Only one specimen from the apparently normal surrounding tissue (one out of 17; 5.9%) and three other specimens from the tumour portion (three out of 17; 17.6%) had positive immunoreactivity. Similarly, the expression of the Th2 cytokine, IL-10 in normal (four out of 17; 23.5%) and tumour portions (five out of 17; 29.4%) was also low. Thus, there did not appear to be predominant Th2 immune response as denoted by IL-10 expression. Using the Spearman correlation rank test, a significant correlation between IL-18 expression in the apparently normal surrounding tissue and high alpha-foetoprotein (AFP) levels of >350 IU/l. No correlation between IL-18 expression in the tumour portion and clinicopathological factors was found. There was also no correlation found between IL-18 and the other cytokines, namely, IFN-gamma and IL-10 expression These new findings provide additional information on the type of cytokines expressed in the tumour microenvironment and give a further insight into the role of cytokines in the pathogenesis of cancer which is critical for the development of effective immunotherapeutic approaches for cancer therapy in the future.