1.Analysis of temporal trends of the incidence rate of tuberculosis in Shaanxi Province
Hengliang LYU ; Hongwei ZHANG ; Hui CHEN ; Xihao LIU ; Xueli ZHANG ; Xin ZHANG ; Junzhu BAI ; Shumeng YOU ; Yuanyong XU ; Wenyi ZHANG
Chinese Journal of Preventive Medicine 2024;58(11):1659-1664
Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.
2.Analysis of temporal trends of the incidence rate of tuberculosis in Shaanxi Province
Hengliang LYU ; Hongwei ZHANG ; Hui CHEN ; Xihao LIU ; Xueli ZHANG ; Xin ZHANG ; Junzhu BAI ; Shumeng YOU ; Yuanyong XU ; Wenyi ZHANG
Chinese Journal of Preventive Medicine 2024;58(11):1659-1664
Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.
3.Analysis of HCV genotype distribution characteristics in the Hotan region
Maimaitijiang WUBULIAISHAN ; Hengliang LYU ; Aminai AIBI ; Junzhu BAI ; Dongyang ZHANG ; Nuerbiyi MAITIKUWAN ; Li CHEN ; Wenyi ZHANG ; Junfeng LU
Chinese Journal of Hepatology 2024;32(S2):3-7
Objective:To investigate the distribution characteristics of hepatitis C virus (HCV) genotypes in the Hotan region, Xinjiang.Methods:The genotype and retrospective analysis of clinical data of patients with chronic HCV infection who visited the Hotan regional Infectious Disease Specialist Hospital from January 2021 to July 2024 were collected. The distribution characteristic of each genotype was analyzed.Results:A total of 1 366 cases with chronic HCV infection were collected. Seven hundred and ten were males, with an average age of (44.87±14.63) years. Genotype distribution:Patients with genotype 1b, 2a, 3a, 3b, and 6a accounted for 72.33% (988/1 366), 1.46% (20/1 366), 15.81% (216/1 366), 10.03% (137/1 366), and 0.37% (5/1 366), respectively. Genotype 1b patients were centered between 30-59 years old, with a higher detection rate in females than in males, while genotypes 3a and 3b were mainly between 30-49 years old, with a higher detection rate in males than in females.The patients in Pishan County, Moyu County, and Hotan County in Hotan region were mainly of genotype 1b, while the proportion of genotype 3 was relatively high in Hotan City, Luopu County, and Yutian County.Conclusions:The distribution of HCV genotypes in the Hotan region is diverse, with genotype 1b being the main one, and genotype 3 accounting for a high proportion. Therefore, it is recommended to actively conduct HCV genotype testing in key regions and populations to formulate optimized antiviral treatment plans and improve treatment efficacy.
4.Analysis of HCV genotype distribution characteristics in the Hotan region
Maimaitijiang WUBULIAISHAN ; Hengliang LYU ; Aminai AIBI ; Junzhu BAI ; Dongyang ZHANG ; Nuerbiyi MAITIKUWAN ; Li CHEN ; Wenyi ZHANG ; Junfeng LU
Chinese Journal of Hepatology 2024;32(S2):3-7
Objective:To investigate the distribution characteristics of hepatitis C virus (HCV) genotypes in the Hotan region, Xinjiang.Methods:The genotype and retrospective analysis of clinical data of patients with chronic HCV infection who visited the Hotan regional Infectious Disease Specialist Hospital from January 2021 to July 2024 were collected. The distribution characteristic of each genotype was analyzed.Results:A total of 1 366 cases with chronic HCV infection were collected. Seven hundred and ten were males, with an average age of (44.87±14.63) years. Genotype distribution:Patients with genotype 1b, 2a, 3a, 3b, and 6a accounted for 72.33% (988/1 366), 1.46% (20/1 366), 15.81% (216/1 366), 10.03% (137/1 366), and 0.37% (5/1 366), respectively. Genotype 1b patients were centered between 30-59 years old, with a higher detection rate in females than in males, while genotypes 3a and 3b were mainly between 30-49 years old, with a higher detection rate in males than in females.The patients in Pishan County, Moyu County, and Hotan County in Hotan region were mainly of genotype 1b, while the proportion of genotype 3 was relatively high in Hotan City, Luopu County, and Yutian County.Conclusions:The distribution of HCV genotypes in the Hotan region is diverse, with genotype 1b being the main one, and genotype 3 accounting for a high proportion. Therefore, it is recommended to actively conduct HCV genotype testing in key regions and populations to formulate optimized antiviral treatment plans and improve treatment efficacy.

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