Gang Qin
Nantong University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Gang Qin.
Hepatology Research | 2015
Zhang J; Yi Shen; Hui Cai; Yan-Mei Liu; Gang Qin
Whether hepatitis B virus (HBV) infection increases the risk of type 2 diabetes mellitus (T2DM) is controversial. We carried out a meta‐analysis to evaluate the association between HBV infection status and the risk of T2DM.
Journal of Infection | 2017
Zhi-Xian Chen; Gui-Fang Gu; Zhao-Lian Bian; Wei-Hua Cai; Yi Shen; Yan-Li Hao; Sheng Zhang; Jian-Guo Shao; Gang Qin
OBJECTIVE To determine the clinical course and perinatal transmission of chronic hepatitis B during pregnancy in a real life setting. METHODS A total of 221 singleton pregnant women with detectable HBV-DNA levels (≥103 copies/mL) were enrolled during January 2011 to June 2015. Forty-three high viraemic patients (≥106 copies/mL) received telbivudine in the 2nd or 3rd trimester according to their intention, while 89 high viraemic and 79 low viraemic (≥103 and <106 copies/mL) patients were the control cohorts. Primary endpoint was the pregnancy outcomes and secondary endpoint the perinatal transmission including intrauterine infection, immunoprophylaxis failure and occult infection. RESULTS In all, 209 patients completed pregnancy with 209 infants, while 2 in telbivudine-treated cohort had unexplained late stillbirths. Twenty-nine (70.7%) of telbivudine-treated patients and 3 (3.4%) of untreated high viraemic controls achieved undetectable HBV-DNA levels prior delivery. At 7 months postpartum, immunoprophylaxis failure was significantly lower (2.4%) in telbivudine-treated cohort, compared with 16.9% and 10.1% in untreated high and low viraemic cohorts, respectively. CONCLUSIONS Low viraemic patients may also need antiviral therapy since they bear moderate risk for perinatal transmission of HBV. However, more multicenter, large-scale studies are required before antepartum antiviral therapy is routinely recommended in patients with detectable viral loads.
Liver International | 2017
Yi Shen; Sheng Zhang; Xu-Lin Wang; Yuan-Yuan Wang; Zhang J; Gang Qin; Wenchao Li; Kun Ding; Lei Zhang; Feng Liang
Because whether hepatitis B virus infection increases the risk of type 2 diabetes mellitus has been a controversial topic, pair‐wise and network meta‐analyses of published literature were carried out to accurately evaluate the association between different phases of hepatitis B virus infection and the risk of type 2 diabetes mellitus.
Journal of Perinatal Medicine | 2017
Ai-Min Cui; Jian-Guo Shao; Hai-Bo Li; Yi Shen; Zhi-Xian Chen; Sheng Zhang; Zhao-Lian Bian; Gang Qin; Xiao-Yan Cheng
Abstract Objectives: To assess the association of chronic hepatitis B virus (HBV) infection with preterm birth (PTB). Methods: A cohort of 20,498 pregnant women (497 HBV carriers with 20,001 non-HBV controls) with normal alanine aminotransferase (ALT) levels was selected from the Obstetrics & Gynecology Hospital of Nantong University. The clinical parameters and PTB incidence were compared between HBV carriers and non-HBV subjects. For the meta-analysis, we searched the PubMed, Ovid and Cochrane Library databases for studies comparing PTB incidence between individuals with chronic HBV infection and non-HBV subjects. Results: HBV carriers were slightly older and had slightly higher ALT levels within normal limits. The body mass index, education and history of pregnancy between HBV carrier and non-HBV groups were comparable. PTB incidence was not associated with HBV carrier status [relative risk (RR) 0.98, 95% confidence interval (CI) 0.71–1.37] in our cohort. However, the meta-analysis involving eight published studies and our study revealed a significant association between chronic HBV infection and PTB incidence (pooled RR 1.26, 95% CI 1.19–1.33). Conclusion: While maternal HBV carriers did not have a higher incidence of PTB in our cohort, the meta-analysis indicates that individuals with chronic HBV infection appeared to be at risk of PTB as a whole.
Open Forum Infectious Diseases | 2017
Zhi-Xian Chen; Xun Zhuang; Xiao-Hong Zhu; Yan-Li Hao; Gui-Fang Gu; Meng-Zhi Cai; Gang Qin
Abstract Background Perinatal transmission is the main route of hepatitis B virus (HBV) transmission. While several measures have been attempted as means of preventing perinatal HBV transmission, the optimal strategy remains inconclusive. Methods We conducted a comprehensive search, through December 2016, for randomized controlled trials (RCTs) that compared the following measures among pregnant women with HBV infection: placebo/none, active immunoprophylaxis (hepatitis B vaccine series starting at birth [HBVac]), passive-active immunoprophylaxis (hepatitis B immunoglobulin and vaccine [HBIG+HBVac]), prenatal HBIG administration (HBIG/HBIG+HBVac), and prenatal antiviral therapy (AVT/HBIG+HBVac). Direct, indirect, and network meta-analyses were performed for all treatment comparisons. Results Fifteen RCTs involving 2706 infants of HBV carrier mothers were eligible for analysis. Network meta-analysis demonstrated similar results as direct and indirect comparisons. HBVac alone significantly reduced the risk of hepatitis B infection in infants of HBV carrier mothers (relative risk [RR], 0.32; 95% confidence interval [CI], 0.21–0.50). The combination of immunoglobulin with vaccine is superior to vaccine alone (RR, 0.37; 95% CI, 0.20–0.67). Prenatal HBIG administration and antiviral therapy offer further advantages over current passive-active immunoprophylaxis for infants of highly viremic (HBV DNA level higher than 2 × 105 IU/mL) mothers (RR, 0.47; 95% CI, 0.29–0.75; and RR, 0.31; 95% CI, 0.10–0.99, respectively). There was no significant publication bias. Conclusions Based on the universal infantile vaccination program, HBIG for infants born to HBV carrier mothers further reduces transmission. For highly viremic mothers whose children are still at risk for transmission under current immunoprophylaxis, prenatal HBIG administration or antiviral therapy in late pregnancy may be considered if more long-term evidence supports its efficacy and safety.
Scientific Reports | 2016
Yi Shen; Xu-Lin Wang; Sheng Zhang; Gang Qin; Yan-Mei Liu; Yihua Lu; Feng Liang; Xun Zhuang
This research utilized an external longitudinal dataset of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) to compare and validate various predictive models that support the current recommendations to select the most effective predictive risk models to estimate short- and long-term mortality and facilitate decision-making about preferable therapeutics for HBV-ACLF patients. Twelve ACLF prognostic models were developed after a systematic literature search using the longitudinal data of 232 HBV-ACLF patients on the waiting list for liver transplantation (LT). Four statistical measures, the constant (A) and slope (B) of the fitted line, the area under the curve (C) and the net benefit (D), were calculated to assess and compare the calibration, discrimination and clinical usefulness of the 12 predictive models. According to the model calibration and discrimination, the logistic regression models (LRM2) and the United Kingdom model of end-stage liver disease(UKELD) were selected as the best predictive models for both 3-month and 5-year outcomes. The decision curve summarizes the benefits of intervention relative to the costs of unnecessary treatment. After the comprehensive validation and comparison of the currently used models, LRM2 was confirmed as a markedly effective prognostic model for LT-free HBV-ACLF patients for assisting targeted and standardized therapeutic decisions.
BMC Pregnancy and Childbirth | 2016
Ai-Ming Cui; Xiao-Yan Cheng; Jian-Guo Shao; Hai-Bo Li; Xu-Lin Wang; Yi Shen; Li-Jing Mao; Sheng Zhang; Hai-Yun Liu; Lei Zhang; Gang Qin
BMC Gastroenterology | 2015
Yi Shen; Zhang J; Hui Cai; Jian-Guo Shao; You-Yi Zhang; Yan-Mei Liu; Gang Qin; Yan Qin
EBioMedicine | 2017
Xun Zhuang; Ai-Min Cui; Qin Wang; Xiao-Yan Cheng; Yi Shen; Wei-Hua Cai; Hai-Bo Li; Sheng Zhang; Gang Qin
BMC Medical Informatics and Decision Making | 2016
Gang Qin; Zhao-Lian Bian; Yi Shen; Lei Zhang; Xiao-Hong Zhu; Yan-Mei Liu; Jian-Guo Shao