Background/Aims Given the increase in prevalence of metabolic diseases, we investigated their long-term impacts on the outcomes of chronic hepatitis B (CHB) patients receiving nucleos(t)ide analogue (NA) treatment.
Methods We analyzed data from CHB patients for whom initiated NA treatment from 30 centers. We balanced patient characteristics with and without metabolic disease (diabetes, obesity, dyslipidemia, and hypertension) via propensity-score matching (PSM) to evaluate adverse outcomes.
Results The study included 4,500 patients. PSM yielded 909 pairs of patients with balanced characteristics. When stratified by the number of metabolic diseases, only patients with ≥2 metabolic diseases had an increased cumulative incidence of cirrhosis and overall death. However, when stratified by the presence of diabetes (regardless of the presence or number of other metabolic diseases), patients with diabetes (versus those without) had a significantly higher cumulative incidence of all outcomes: cirrhosis (P=0.009), hepatocellular carcinoma (HCC, P=0.023), and overall, liver-related, and non-liver-related death (P<0.001, P=0.026 and P<0.001, respectively). Having ≥2 metabolic diseases was associated with cirrhosis, overall death, and non-liver-related death but not HCC or liver-related death, while diabetes was significantly associated with a higher risk of all outcomes: cirrhosis (hazard ratio [HR]=3.75, P=0.004), HCC (HR=2.02, P=0.020), and overall, liver-related, and non-liver-related death (HR=2.53, P<0.001; HR=2.65, P=0.016; HR=2.38, P<0.001).
Conclusions Having two or more metabolic diseases was associated with a higher risk of cirrhosis, overall death, and non-liver-related death, but having diabetes as a single metabolic disease was significantly associated with all adverse outcomes including cirrhosis, HCC, and overall, liver-related, and non-liver-related death.
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Methods Data from patients with newly diagnosed HCC between 2008 and 2018 were obtained from Korean National Health Insurance Service database. Age-standardized incidence rates (ASRs) were calculated to compare HCC incidence. A poisson regression model was used to predict the future incidence of HCC.
Results The average crude incidence rate (CR) was 22.4 per 100,000 person-years, and the average ASR was 17.6 per 100,000 person-years between 2008 and 2018. The CR (from 23.9 to 21.2 per 100,000 person-years) and ASR (from 21.9 to 14.3 per 100,000 person-years) of HCC incidence decreased during the past ten years in all age groups, except in the elderly. The ASR of patients aged ≥80 years increased significantly (from 70.0 to 160.2/100,000 person-years; average annual percent change, +9.00%; P<0.001). The estimated CR (17.9 per 100,000 person-years) and ASR (9.7 per 100,000 person-years) of HCC incidence in 2028 was declined, but the number of HCC patients aged ≥80 years in 2028 will be quadruple greater than the number of HCC patients in 2008 (from 521 to 2,055), comprising 21.3% of all HCC patients in 2028.
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Background/Aims The early detection and prevention of non-alcoholic fatty liver disease (NAFLD) has been emphasized considering the burden of this disease. Both hepatic and peripheral insulin resistances are strongly associated with NAFLD. We aimed to compare the predictive powers of a hepatic insulin resistance index, the homeostatic model assessment for insulin resistance (HOMA-IR), and a novel peripheral insulin resistance index, the metabolic score for insulin resistance (METS-IR), for the prediction of prevalent and incident NAFLD.
Methods Data from 8,360 adults aged 40–69 years at baseline and 5,438 adults without NAFLD who were followed-up at least once after the baseline survey in the Korean Genome and Epidemiology Study were analyzed. The survey was performed biennially, up to the eighth follow-up.
Results The predictive powers of the METS-IR and HOMA-IR for prevalent NAFLD were not significantly different (area under the receiver operating characteristic [ROC] curve [95% confidence interval]: METS-IR, 0.824 [0.814–0.834]; HOMAIR, 0.831 [0.821–0.842]; P=0.276). The area under the time-dependent ROC curve (Heagerty’s integrated area under the curve) of the METS-IR for incident NAFLD was 0.683 (0.671–0.695), significantly higher than that of the HOMA-IR (0.551 [0.539–0.563], P<0.001).
Conclusions The METS-IR is superior to the HOMA-IR for the prediction of incident NAFLD and is not inferior to the HOMA-IR for the prediction of prevalent NAFLD. This suggests that the METS-IR can be a more useful insulin resistance index than the HOMA-IR for the early detection and prevention of NAFLD in Korean population.
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