Smoking is a major preventable cause of morbidity and premature death worldwide. Both varenicline and nicotine replacement therapy (NRT) help achieve smoking cessation. However, limited evidence exists regarding whether combination of varenicline and NRT is more effective than either alone. The aim of this research was to investigate the efficacy and safety of varenicline combined with NRT. A systematic search of MEDLINE, EMBASE, ClinicalTrial.gov, and Cochrane Library was conducted in November 2014. Two authors independently reviewed and selected randomized controlled trials. The quality of the studies was evaluated by the Jadad score. We carried out meta-analysis of both early (abstinence rate assessed before or at the end of treatment) and late (assessed after the end of the treatment) outcomes. Three randomized controlled trials with 904 participants were included in this meta-analysis. All three were comparing combination therapy with varenicline therapy alone. The late outcomes were assessed in 2 of the 3 trials. Both the early and late outcomes were favorable for combination therapy (OR = 1.50, 95 % CI 1.14 to 1.97; OR = 1.62, 95 % CI 1.18 to 2.23, respectively). However, this significance diminished after eliminating a study with pre-cessation treatment using nicotine patch. The most common adverse events were nausea, insomnia, abnormal dreams, and headache. One study reported more skin reactions (14.4 % vs 7.8 %; p = 0.03) associated with combination therapy. Combination therapy is more effective than varenicline alone, especially if pre-cessation treatment of nicotine patch is administrated. Adverse events of combination therapy are similar to mono-therapy except for skin reactions.

Limited data exist regarding metabolic risk factors for deaths from hepatocellular carcinoma (HCC) in aging individuals. We investigated the association between diabetes, dyslipidemia, and HCC mortality in those aged 40 years or more (middle-aged and elderly). In this prospective cohort study based on nationwide health screening units, we consecutively followed middle-aged and elderly participants who had no chronic hepatitis B or C virus infection and received health screening from January 1 1998 to December 31 2008. There were 235 deaths from HCC among 50,080 individuals, ascertained by validated death certificates and the national death registry. Diabetes (adjusted hazard ratio [HR], 3.38; 95% confidence interval [CI], 2.35 to 4.86) was positively associated with deaths from HCC. However, hypertriglyceridemia (HR, 0.38; 95% CI, 0.26 to 0.55) and hypercholesterolemia (HR, 0.50; 95% CI, 0.37 to 0.67) were inversely associated with HCC mortality. The above significant associations remained in the lag time analyses, applied to check for reverse causation. Metabolic syndrome, as defined by the American Heart Association / National Heart Lung Blood Institute criteria (HR, 0.63; 95% CI, 0.46 to 0.86) or by the International Diabetes Federation criteria (HR, 0.62; 95% CI, 0.43 to 0.89), was inversely associated with deaths from HCC, especially in men. Conclusion: Middle-aged and elderly individuals, once having diabetes, deserve HCC surveillance to reduce HCC mortality. More research is needed to elucidate why having baseline dyslipidemia relates to lower future HCC mortality. (Hepatology 2014;59:2207–2215)

The association between serum concentrations of zinc, copper, or iron and the risk of metabolic syndrome are inconclusive. Therefore, we conduct a case-control study to explore the relationship between serum levels of zinc, copper, or iron and metabolic syndrome as well as each metabolic factor and insulin resistance. We enrolled 1165 adults, aged ≥ 40 (65.8 ± 10) years in a hospital-based population to compare the serum levels of zinc, copper, and iron between subjects with and without metabolic syndrome by using multivariate logistic regression analyses. The least square means were computed by general linear models to compare serum concentrations of zinc, copper, and iron in relation to the number of metabolic factors. The mean serum concentrations of zinc, copper, and iron were 941.91 ± 333.63 μg/L, 1043.45 ± 306.36 μg/L, and 1246.83 ± 538.13 μg/L, respectively. The odds ratios (ORs) of metabolic syndrome for the highest versus the lowest quartile were 5.83 (95% CI: 3.35–10.12; p for trend < 0.001) for zinc, 2.02 (95% CI: 1.25–3.25; p for trend: 0.013) for copper, and 2.11 (95% CI: 1.24–3.62; p for trend: 0.021) for iron after adjusting for age, sex, personal habits, body mass index, and homeostatic model assessment insulin resistance. Additionally, the serum zinc, copper, and iron concentrations increased as the number of metabolic factors rose (p for trend < 0.001). This was the first study to clearly demonstrate that higher serum levels of zinc, copper, and iron were associated with the risk of metabolic syndrome and the number of metabolic factors independent of BMI and insulin resistance.

Objective: Investigate the nature of the relationship between chronic hepatitis B virus (HBV) infection and metabolic syndrome among nondiabetic adults.Methods: This was a cross‐sectional analysis of 17,030 nondiabetic adults (7437 males and 9593 females; mean age, 36.0 ± 3.9 years) in northern Taiwan from 2008 to 2009. The associations of hepatitis B surface antigen (HBsAg) seropositivity with metabolic syndrome and cardio‐metabolic parameters were assessed. A structural equation model was constructed to elucidate the pathways between chronic HBV infection and individual cardiometabolic risk factors.Results: A total of 2982 (17.5%) participants were HBsAg‐seropositive. Of the seropositive and seronegative subjects, 15.5 and 16.9% had metabolic syndrome, respectively. The HBsAg‐seropositive subjects had a lower odds of having metabolic syndrome compared with the seronegative subjects irrespective of gender and age (OR: 0.76, 95% CI: 0.68‐0.85). The inverse associations remained significant after adjusting for body mass index and serum alanine aminotransferase levels. HBsAg seropositivity was inversely associated with hypertriglyceridemia (OR: 0.59, 95% CI: 0.52‐0.66), and low serum levels of high‐density lipoprotein cholesterol (OR: 0.86, 95% CI: 0.79‐0.93) after adjustments. The structural equation model revealed chronic HBV infection had a significant negative effect on dyslipidemia both in males (B = −0.054) and females (B = −0.064).Conclusions: The inverse relationship between chronic HBV infection and metabolic syndrome may be attributable to the net beneficial effects on lipid profiles.

Objective: This study aimed to investigate the association between serum adiponectin and chronic hepatitis B virus (HBV) infection.Design and Methods: We conducted a campus‐based cross‐sectional study in Northern Taiwan, an HBV‐endemic country. A total of 506 participants, including 147 chronic HBV‐infected individuals and 359 healthy controls, were assessed for anthropometric indices, serum adiponectin levels, serum HBV viral load and markers, serum alanine aminotransferase levels and metabolic factors.Results: Older age, male gender, higher alanine aminotransferase, higher body mass index, greater waist circumference, lower fasting glucose, higher triglycerides, and higher adiponectin were associated with chronic HBV infection in univariate analyses. In multivariate analysis, the presence of chronic HBV infection was positively associated with serum adiponectin levels (P < 0.0001) and high adiponectin levels over the 75th percentile (odds ratio, 4.25; 95% confidence interval, 2.36‐7.66; P < 0.0001) after adjusting for age, gender, body mass index, and insulin resistance index. Furthermore, serum adiponectin levels were positively associated with HBV viral load in overweight to obese HBV‐infected subjects (P = 0.018).Conclusion: Although chronic HBV‐infected individuals were heavier than healthy controls, they had significantly higher serum adiponectin levels than healthy counterparts. Additionally, adiponectin levels were positively associated with HBV viral load in overweight to obese HBV‐infected subjects. Future research should focus on elucidating adiponectin pathways, which may contribute to the development of adjuvant treatments for chronic HBV infection.