Objective:To assess the epidemic characteristics of serum of viral hepatitis B infection ranging in age from 1 to 69 years old in Jilin province in 2024. The genotypes of hepatitis B virus-infected individuals were determined.Methods:In 2024，2 313 people ranging in age from 1 to 69 years old in Jilin province were selected by using multi-stage random sampling method for field epidemiological investigation of hepatitis B. The serum samples were collected and detected for the hepatitis B virus（HBV）surface antigen（HBsAg），HBV surface antibody（HBsAb），HBV core antibody（HBcAb），HBV E antigen（HBeAg）and HBV E antibody（HBeAb）by ELISA，and the data were analyzed by the national epidemiological dynamic data collection platform，SPSS 18.0 software. Genotyping is conducted based on the internationally recognized large S region gene fragment.Results:The vaccination rates for hepatitis B among people aged 1-4，5-14，15-29 and 30-69 were 97.00%，94.66%，74.59% and 2.88%，respectively. There were significant differences in hepatitis B vaccination rates across age groups surveyed in 2024（ χ2=1 041.41， P<0.05）. In 2024，the HBsAg carrying rate，HBsAb positive rate，HBV infection rate，HBeAb positive rate and HBeAg positive rate of people in Jilin province were 0. 86%，47.99%，2.25%，5.58% and 5.14%，respectively. The genotype of hepatitis B virus in the infected person is B2 and C2. Conclusions:In 2024，the indicators of HBV infection in Jilin province were good. The highest rate of hepatitis B infection was 11.54% in people with 30-69 years of age and the high vaccination rate of people should continue to be maintained，and the vaccination of hepatitis B vaccine for adults should be strengthened to reduce the risk of infection in these susceptible groups.

Objective:To investigate the risk factors for kidney injury during anti-retroviral therapy (ART) with zidovudine (AZT) or tenofovir disoproxil fumarate (TDF) in human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients, and to construct and validate a prediction model for the risk of kidney injury in HIV/AIDS patients based on a nomogram.Methods:A total of 923 HIV/AIDS patients admitted to Liuzhou People′s Hospital between January 1st, 2004 and December 31st, 2020 were included in this study. The modeling set (647 cases) and the validation set (276 cases) were divided in a 7∶3 ratio. Risk factors were screened using the least absolute shrinkage and selection operator (LASSO) regression analysis, and a nomogram prediction model for renal impairment risk in HIV/AIDS patients was constructed based on the selected variables. The model′s predictive performance was assessed by calculating the area under the curve (AUC) using the receiver operating characteristics curve (ROC curve). The performance of this model was evaluated using calibration curves. The clinical utility of the model was assessed using decision curve analysis (DCA).Results:Among 923 HIV/AIDS patients, there were 91 cases with kidney injury, including 67 in the modeling set and 24 in the validation set. AZT was used in 29 cases, and TDF was used in 62 cases. LASSO regression analysis was employed to screen seven non-zero variables, including age, ART regimen, baseline estimated glomerular filtration rate (eGFR), baseline CD4 + T lymphocyte count, baseline human immunodeficiency virus (HIV) RNA, baseline hemoglobin, and baseline aspartate aminotransferase (AST), their LASSO regression coefficient were 1.296, 0.250, 1.443, 0.240, 0.120, 0.395, and 0.002, respectively. Based on these variables, a visual nomogram model was constructed and subsequently validated. Through ROC curve analysis, the AUC for the modeling set was 0.826 (95% confidence interval ( CI) 0.767 to 0.884), with a sensitivity of 0.731 and a specificity of 0.809. For the validation set, the AUC was 0.872 (95% CI 0.807 to 0.956), with a sensitivity of 0.875 and a specificity of 0.778. The calibration curve results for the modeling set showed a mean absolute error (MAE) of 0.012 and a consistency index of 0.826, while the validation set had an MAE of 0.021 and a consistency index of 0.872. These results indicated that the model had a high goodness-of-fit, excellent calibration performance, and was reliable and stable. When the risk threshold for the modeling set ranged from 2% to 73%, the model demonstrated favorable net benefits, indicating its excellent clinical utility. Conclusion:The nomogram-based risk prediction model for kidney injury in HIV/AIDS patients is constructed using seven variables including age, ART regimen, baseline eGFR, baseline CD4 + T lymphocyte count, baseline HIV RNA, baseline hemoglobin, and baseline AST, which provides a valuable tool for early identification of individuals at risk of kidney injury and supports timely clinical interventions.

Objective:To assess the epidemic characteristics of serum of viral hepatitis B infection ranging in age from 1 to 69 years old in Jilin province in 2024. The genotypes of hepatitis B virus-infected individuals were determined.Methods:In 2024，2 313 people ranging in age from 1 to 69 years old in Jilin province were selected by using multi-stage random sampling method for field epidemiological investigation of hepatitis B. The serum samples were collected and detected for the hepatitis B virus（HBV）surface antigen（HBsAg），HBV surface antibody（HBsAb），HBV core antibody（HBcAb），HBV E antigen（HBeAg）and HBV E antibody（HBeAb）by ELISA，and the data were analyzed by the national epidemiological dynamic data collection platform，SPSS 18.0 software. Genotyping is conducted based on the internationally recognized large S region gene fragment.Results:The vaccination rates for hepatitis B among people aged 1-4，5-14，15-29 and 30-69 were 97.00%，94.66%，74.59% and 2.88%，respectively. There were significant differences in hepatitis B vaccination rates across age groups surveyed in 2024（ χ2=1 041.41， P<0.05）. In 2024，the HBsAg carrying rate，HBsAb positive rate，HBV infection rate，HBeAb positive rate and HBeAg positive rate of people in Jilin province were 0. 86%，47.99%，2.25%，5.58% and 5.14%，respectively. The genotype of hepatitis B virus in the infected person is B2 and C2. Conclusions:In 2024，the indicators of HBV infection in Jilin province were good. The highest rate of hepatitis B infection was 11.54% in people with 30-69 years of age and the high vaccination rate of people should continue to be maintained，and the vaccination of hepatitis B vaccine for adults should be strengthened to reduce the risk of infection in these susceptible groups.

Objective:To investigate the risk factors for kidney injury during anti-retroviral therapy (ART) with zidovudine (AZT) or tenofovir disoproxil fumarate (TDF) in human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS) patients, and to construct and validate a prediction model for the risk of kidney injury in HIV/AIDS patients based on a nomogram.Methods:A total of 923 HIV/AIDS patients admitted to Liuzhou People′s Hospital between January 1st, 2004 and December 31st, 2020 were included in this study. The modeling set (647 cases) and the validation set (276 cases) were divided in a 7∶3 ratio. Risk factors were screened using the least absolute shrinkage and selection operator (LASSO) regression analysis, and a nomogram prediction model for renal impairment risk in HIV/AIDS patients was constructed based on the selected variables. The model′s predictive performance was assessed by calculating the area under the curve (AUC) using the receiver operating characteristics curve (ROC curve). The performance of this model was evaluated using calibration curves. The clinical utility of the model was assessed using decision curve analysis (DCA).Results:Among 923 HIV/AIDS patients, there were 91 cases with kidney injury, including 67 in the modeling set and 24 in the validation set. AZT was used in 29 cases, and TDF was used in 62 cases. LASSO regression analysis was employed to screen seven non-zero variables, including age, ART regimen, baseline estimated glomerular filtration rate (eGFR), baseline CD4 + T lymphocyte count, baseline human immunodeficiency virus (HIV) RNA, baseline hemoglobin, and baseline aspartate aminotransferase (AST), their LASSO regression coefficient were 1.296, 0.250, 1.443, 0.240, 0.120, 0.395, and 0.002, respectively. Based on these variables, a visual nomogram model was constructed and subsequently validated. Through ROC curve analysis, the AUC for the modeling set was 0.826 (95% confidence interval ( CI) 0.767 to 0.884), with a sensitivity of 0.731 and a specificity of 0.809. For the validation set, the AUC was 0.872 (95% CI 0.807 to 0.956), with a sensitivity of 0.875 and a specificity of 0.778. The calibration curve results for the modeling set showed a mean absolute error (MAE) of 0.012 and a consistency index of 0.826, while the validation set had an MAE of 0.021 and a consistency index of 0.872. These results indicated that the model had a high goodness-of-fit, excellent calibration performance, and was reliable and stable. When the risk threshold for the modeling set ranged from 2% to 73%, the model demonstrated favorable net benefits, indicating its excellent clinical utility. Conclusion:The nomogram-based risk prediction model for kidney injury in HIV/AIDS patients is constructed using seven variables including age, ART regimen, baseline eGFR, baseline CD4 + T lymphocyte count, baseline HIV RNA, baseline hemoglobin, and baseline AST, which provides a valuable tool for early identification of individuals at risk of kidney injury and supports timely clinical interventions.

ObjectiveTo assess the epidemic characteristics of serum of viral hepatitis type B(hepatitis B for short)infection in Jilin Province in 2020.MethodsIn 2020,1 667 people ranging in age from 1 to 69 years in Jilin Province were selected by using multi-stage random sampling method for field epidemiological investigation of hepatitis B. The serum samples were collected and detected for the hepatitis B virus(HBV)surface antigen(HBsAg),HBV surface antibody(HBsAb),HBV core antibody(HBcAb),HBV E antigen(HBeAg)and HBV E antibody(HBeAb)by ELISA,and the data were analyzed by the national epidemiological dynamic data collection platform,SPSS 18.0 software.ResultsThere were significant differences in hepatitis B vaccination rates across age groups surveyed in 2020（χ2= 810. 48,P < 0. 05）.In 2020,the HBsAg carrying rate,HBsAb positive rate,HBV infection rate,HBeAb positive rate and HBeAg positive rate of people at the age of 1-69 years in Jilin Province were 0. 96%,59. 99%,15. 66%,7. 02% and 0. 18%,respectively.ConclusionIn 2020,the indicators of HBV infection in Jilin Province were good,and the high vaccination rate of people should continue to be maintained,and the vaccination of hepatitis B vaccine for adults should be strengthened to reduce the risk of infection in these susceptible groups.

Objective:This study aimed to analyze the genomic characteristics of Varicella-Zoster Virus (VZV) strains circulating in Jilin province from 2010 to 2023.Methods:Vesicle fluid from 78 sporadic cases with VZV infection were collected in Jilin province from 2010 to 2023, after detecting by Real-time PCR, 26 specimens (CT<25) were detected by PCR. Open reading frame 22(ORF22), ORF38 and ORF62 were amplified and analyzed. Genotyping was confirmed by SNPs ORF22 (37902, 38019, 38055, 38081 and 38177) and ORF38 (69424). Vaccine strains were indentified from wild-type strains according to ORF38 (69349) and ORF62 (106262, 107252, and 108111). Sequences were analyzed by homologous comparison and phylogenetic analysis.Results:The comparison with Dumas sequence revealed that SNPs (37902, 38055, 38081 and 38177) in ORF22 and ORF38 (69424) have mutations similar to the pOka strain, which belong to clade 2. Compared to the Dumas and Baike strains, all 26 samples were wild-type strains. JL2016-4 strain changes from threonine to asparaginyl at position 38059, JL2021-4 strain changes from arginine to proline at position 37933, from aspartic acid to tyrosine at position 37935, and from aspartic acid at base 38031 to tyrosine. JL2023-1 strain changes from arginine to leucine at position 37933.Conclusions:VZV has been prevalent for 14 years in Jilin province. The main epidemic strains belong to the clade 2. We should strengthen the monitoring of VZV outbreaks and raise the coverage rate of VZV vaccination.