Objective:The Fuxing Program was established in Zhuhai as an action plan to micro-eliminate hepatitis C in response to the World Health Organization's goal of eliminating hepatitis C by 2030. Therefore, the effectiveness of this program in terms of hepatitis C screening, treatment, follow-up, and other aspects is evaluated here.Methods:The "Fuxing Project" was established in May 2021 under the supervision of the Zhuhai Medical Quality Control Center for Infectious Diseases. A bridge was formed among the governmental entities, hospitals at all levels, and the community to train hepatitis C prevention and control strategies. Hepatitis C screening, publicity, and educational awareness were conducted in-and out-of-hospital. The responsibility for the diagnosis, treatment, and follow-up of a patient with hepatitis C was assigned to the staff. The screening and treatment rates of hepatitis C in hospitals before and after the initiation of the project were compared and analyzed using the χ2 test or Fisher's exact test. The hepatitis C virus (HCV) infection and treatment status were investigated and analyzed among the general population, high-risk populations such as human immunodeficiency virus (HIV) infection, drug addicts, and the population residing in supervised sites within Zhuhai communities, rural areas, schools, or factories. Results:Anti-HCV positivity rate (0.82% vs. 0.43%, P<0.001), HCV RNA detection rate (98.1% vs. 59.5%, P<0.001), HCV RNA detection positivity rate (52.56% vs. 29.76%, P<0.001), HCV RNA positivity rate (0.4% vs. 0.13%, P<0.001), and hepatitis C treatment rate (76.76% vs. 31.97%, P<0.001) were significantly higher among the inpatient population after the Fuxing Program initiation than before. The HCV RNA detection rate (58.52% vs. 6.93%, P<0.001) and HCV RNA detection positivity rate (77.72% vs. 29.41%, P<0.001) in Zhuhai were significantly higher after the Fuxing Program initiation than before. Anti-HCV positivity rate (0.46% vs. 1.28%, P=0.009) and HCV RNA (0.32% vs. 0.99%, P=0.03) were significantly lower in the Zhuhai general population of urban communities than those of the general population in rural areas. The HCV infection rate was more than three times higher in rural populations than in urban populations. Anti-HCV positivity rate, HCV RNA positivity rate, HCV RNA detection positivity rate, and hepatitis C treatment rates were 2.64% (31/1 175), 3.40% (69/2 022) and 94.4% (34/36), 2.64% (31/1 175), 2.72% (55/2 022), 50.00% (18/36), and 100% (31/31), 79.71% (55/69) and 52.94% (18/34), and 100% (31/31), 0 (0/55) and 55.55% (10/18) among the HIV infection, supervised population under supervised sites, and methadone maintenance treatment clinic population, respectively. Anti-HCV positivity rate (4.15% vs. 0.72%, P<0.001) and HCV RNA (3.22% vs. 0.53%, P<0.001) were significantly higher in the high-risk group than those in the general population, while the treatment rate of hepatitis C in the high-risk group (39.42% vs. 82.35%, P<0.01) was significantly lower than that of the general population. Conclusion:The establishment of the hospital grid linkage mechanism and the management model of hepatitis C follow-up by specialists, with the infectious diseases medical quality control center as the supervisory body, have improved the screening rate, the HCV RNA detection rate, and the treatment rate in the hospital, thereby providing a reference for exploring a management model to eliminate the nationwide threat of hepatitis C.

Objective:The Fuxing Program was established in Zhuhai as an action plan to micro-eliminate hepatitis C in response to the World Health Organization's goal of eliminating hepatitis C by 2030. Therefore, the effectiveness of this program in terms of hepatitis C screening, treatment, follow-up, and other aspects is evaluated here.Methods:The "Fuxing Project" was established in May 2021 under the supervision of the Zhuhai Medical Quality Control Center for Infectious Diseases. A bridge was formed among the governmental entities, hospitals at all levels, and the community to train hepatitis C prevention and control strategies. Hepatitis C screening, publicity, and educational awareness were conducted in-and out-of-hospital. The responsibility for the diagnosis, treatment, and follow-up of a patient with hepatitis C was assigned to the staff. The screening and treatment rates of hepatitis C in hospitals before and after the initiation of the project were compared and analyzed using the χ2 test or Fisher's exact test. The hepatitis C virus (HCV) infection and treatment status were investigated and analyzed among the general population, high-risk populations such as human immunodeficiency virus (HIV) infection, drug addicts, and the population residing in supervised sites within Zhuhai communities, rural areas, schools, or factories. Results:Anti-HCV positivity rate (0.82% vs. 0.43%, P<0.001), HCV RNA detection rate (98.1% vs. 59.5%, P<0.001), HCV RNA detection positivity rate (52.56% vs. 29.76%, P<0.001), HCV RNA positivity rate (0.4% vs. 0.13%, P<0.001), and hepatitis C treatment rate (76.76% vs. 31.97%, P<0.001) were significantly higher among the inpatient population after the Fuxing Program initiation than before. The HCV RNA detection rate (58.52% vs. 6.93%, P<0.001) and HCV RNA detection positivity rate (77.72% vs. 29.41%, P<0.001) in Zhuhai were significantly higher after the Fuxing Program initiation than before. Anti-HCV positivity rate (0.46% vs. 1.28%, P=0.009) and HCV RNA (0.32% vs. 0.99%, P=0.03) were significantly lower in the Zhuhai general population of urban communities than those of the general population in rural areas. The HCV infection rate was more than three times higher in rural populations than in urban populations. Anti-HCV positivity rate, HCV RNA positivity rate, HCV RNA detection positivity rate, and hepatitis C treatment rates were 2.64% (31/1 175), 3.40% (69/2 022) and 94.4% (34/36), 2.64% (31/1 175), 2.72% (55/2 022), 50.00% (18/36), and 100% (31/31), 79.71% (55/69) and 52.94% (18/34), and 100% (31/31), 0 (0/55) and 55.55% (10/18) among the HIV infection, supervised population under supervised sites, and methadone maintenance treatment clinic population, respectively. Anti-HCV positivity rate (4.15% vs. 0.72%, P<0.001) and HCV RNA (3.22% vs. 0.53%, P<0.001) were significantly higher in the high-risk group than those in the general population, while the treatment rate of hepatitis C in the high-risk group (39.42% vs. 82.35%, P<0.01) was significantly lower than that of the general population. Conclusion:The establishment of the hospital grid linkage mechanism and the management model of hepatitis C follow-up by specialists, with the infectious diseases medical quality control center as the supervisory body, have improved the screening rate, the HCV RNA detection rate, and the treatment rate in the hospital, thereby providing a reference for exploring a management model to eliminate the nationwide threat of hepatitis C.

Objective:To evaluate the quality of life (QoL) of Chinese chronic pancreatitis (CP) patients based on the Chinese version of the pancreatitis quality of life Instrument (PANQOLI) and explore its impact factors.Methods:404 patients with CP admitted to the Department of Gastroenterology of the First Affiliated Hospital of Naval Medical University between September 2021 and January 2022 were enrolled. The Chinese version of PANQOLI was used for questionnaire survey on QoL of CP patients. Univariate analysis and multiple linear regression analysis were used to explore the impact factors for QoL of CP patients.Results:The total score of QoL of 404 Chinese CP patients was 28-94(72.47±13.61), which declined by 29.64% compared to the highest total score (103) in the Chinese version of PANQOLI. Score of physical function, role function, emotional function, and self-worth domain was 25.63±4.84, 13.86±2.78, 16.98±6.21 and 16.00±4.65, respectively. Compared to the highest scores (30, 25, 24 and 24), the scores of aforementioned four domains declined by 14.57%, 44.56%, 29.25% and 33.33%, respectively. Univariate analysis showed that sex, age, employment status, smoking, alcohol consumption, and frequency of pancreatitis recurrence were significantly associated with QoL of CP patients. Multiple linear regression analysis indicated that older age (coefficient=-0.127), unemployment status (coefficient=-0.106), smoking (coefficient=-0.176), and high frequency of pancreatitis recurrence (coefficient=-0.123) were independent factors for QoL of CP patients (all P value <0.05). Conclusions:The Chinese version of PANQOLI could be effectively applied to Chinese CP patients. Older age, unemployment, smoking, and pancreatitis attacks were risk factors for QoL of CP patients, indicating that the formulation of personalized intervention measures may help to improve QoL of CP patients.

Objective Using Nutrition Risk Screening (NRS 2002),to assess the nutritional risk of inpatients with digestive diseases and evaluate its clinical significance.Methods The information of 274 patients med the inclusion criteria were collected in our department from August to October 2011.Nutrition status was assessed according to NRS 2002 by trained nurses.Results The prevalence of nutritional risk was 22.99 ％ (63/274).The rate of nutritional risk of the elderly inpatients (≥ 65y) with digestive diseases was significant higher the younger ones (＜ 65y)(32.95％ vs 18.28％,P ＜ 0.05).74.6％ inpatients with nutritional risk and 52.13％ with no risks were given enteral or parenteral nutritional support during the hospitalized period.Conclusion There was higher nutritional risk rate in inpatients with digestive diseases,especially the elderly ones.For deferent patients,the nutritional support should be on the basis of patient' s nutritional state.