RESUMO
Background: Fujian Province has one of the highest reported incidences of hepatitis B virus infection in China. This study aimed to provide a theoretical framework for preventing and controlling hepatitis B in Fujian Province, and to assess the trends and the spatial-temporal distribution patterns of hepatitis B in this region. Methods: Data on hepatitis B cases were extracted from the National Notifiable Infectious Disease Surveillance System. Spatial autocorrelation analysis, trend surface analysis, and spatial-temporal scanning statistics were used to identify the spatial and aggregation patterns at the county level. The Joinpoint was used to assess the reported incidence trends. Results: The average reported incidence of hepatitis B in Fujian from 2012 to 2021 was 14.46/10,000 population, with 583,262 notified cases. The age-adjusted reported incidence of hepatitis B decreased from 17.44/10,000 population in 2012 to 11.88/10,000 population in 2021, with an average reduction in the annual percentage change of 4.5%. There were obvious spatial-temporal aggregation characteristics in hepatitis B cases, and a high-incidence area was located in eastern Fujian. Spatio-temporal scanning statistics revealed four levels of aggregation of hepatitis B reporting rates. The first level of aggregation area included Minhou, Gulou, Jin'an, Taijiang, and nine other districts and counties. Conclusion: The incidence of hepatitis B is declining in Fujian Province. Spatial clusters of hepatitis B cases in Fujian Province were identified, and high-risk areas in eastern Fujian still exist. Closely monitoring the general patterns in the occurrence of hepatitis B and implementing focused control and preventative strategies are important.
RESUMO
An increasing number of studies are suggesting that hepatitis B virus (HBV) infection may be associated with an increased risk of not only hepatocellular carcinoma but also gastric cancer (GC). Whether HBV infection can be a risk factor for GC remains to be explored. In this study, we systematically searched for all eligible literature in 7 databases (China National Knowledge Infrastructure, WanFang, China Science and Technology Journal, PubMed, Cochrane Library, Web of Science and Embase). Eligible studies were required to have a case-control or cohort design. Sixteen studies were included and a meta-analysis was performed using Stata version 17.0. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The association between HBV infection and risk of GC was quantified by calculating the odds ratio and 95% confidence interval. The proportion of high-quality studies was 87.5% (14/16). The risk of GC was higher when HBV infection was present than when it was not (combined odds ratio 1.29, 95% confidence interval 1.16-1.44; I2 = 62.7%, p < 0.001). The results of subgroup analyses were consistent with the main results. In conclusion, this systematic review and meta-analysis identified a positive association between HBV infection and an increased risk of GC.
RESUMO
OBJECTIVE: Our study aimed to explore the diagnostic value of triglyceride-glucose (TyG) and its related parameters in metabolism-associated fatty liver disease (MAFLD). DESIGN: A cross-sectional study of residents who attended medical checkups at the First Hospital of Nanping City, Fujian Medical University, between 2015 and 2017. SETTING: One participation centre. PARTICIPANTS: 2605 subjects met the inclusion-exclusion criteria and were grouped according to whether they had MAFLD. RESULTS: The TyG index and its associated parameters are positively associated with the risk of developing MAFLD (p<0.001). Restriction cube spline analysis showed a significant dose-response relationship between the TyG index and MAFLD. The risk of developing MAFLD increases significantly with a higher TyG index. After adjusting for confounders, this relationship remains (OR: 4.89, 95% CI 3.98 to 6.00). The areas under the receiver operating characteristic curves of the TyG index for MAFLD detection were 0.793 (0.774 to 0.812). The areas under the curve (AUC) of TyG-related parameters were improved, among which TyG-waist circumference (TyG-WC) showed the largest AUC for MAFLD detection (0.873, 95% CI 0.860 to 0.887). In addition, the best cut-off value of the TyG-WC was 716.743, with a sensitivity and specificity of 88.7% and 71.4%, respectively. CONCLUSION: The TyG index effectively identifies MAFLD, and the TyG-related parameters improved the identification and diagnosis of MAFLD, suggesting that TyG-related parameters, especially TyG-WC, may be a useful marker for diagnosing MAFLD.