Objective:To investigate the sero-conversion rate of HIV antibody and influencing factors in cross-border couples in Dehong Dai and Jingpo Autonomous Prefecture(Dehong).Methods:A cohort design was used to recruit HIV-negative people in cross-border couples in Dehong in 2017. Follow-up was conducted in 2023, and questionnaire survey and HIV test were carried out to calculate the sero-conversion rate of HIV antibody. Univariate and multivariate logistic regression models were used to analyze the influence factors for HIV infections.Results:A total of 36 278 HIV-negative persons in cross-border couples were included in the 2017 baseline survey, of whom 22 438 (61.9%) were tested in follow-up in 2023. The sero-conversion rate between 2017 and 2023 was 0.51% (115/22 438). Multivariate logistic regression analysis showed that length of marriage <6 years, Jingpo ethnic group, education level of primary school or below, drug use, illegal marriage and HIV infected spouse were the risk factors of HIV infection in male spouses, and length of marriage <6 years, Jingpo ethnic group, illegal marriage and HIV infected spouse were the risk factors in female spouses.Conclusions:The sero-conversion rate of HIV antibody in cross-border couples in Dehong was relatively high. HIV infection was mainly caused by secondary transmission in the couples, and men might also be infected through drug use. It is necessary to strengthen the registration and management of cross-border couples, especially the couples with discordant HIV infection status, and the intervention in drug users to reduce the risk for secondary transmission of HIV in the cross-border couples.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

ObjectiveTo investigate the therapeutic effects of direct-acting antiviral agents (DAAs) combined regimens for hepatitis C virus (HCV) patients in Dehong Prefecture, Yunnan Province from 2022 to 2024, to analyze the characteristics of treatment failure patients, so as to provide a basis for discovering more effective treatment regimens in the future. MethodsData on HCV prevention and treatment in Dehong Prefecture was extracted from the China Disease Control and Prevention Information System. A total of 617 patients with HCV antiviral therapy were included, and the differences in variable characteristics among patients with different genotypes were analyzed using comparative statistical tests, including basic socio-demographic characteristics, biochemical testing indicators, and information on previous treatment and current treatment. In addition, the cure rate of HCV patients with diverse characteristics was compared, and the potential causes of treatment failure were explored simultaneously. ResultsThe cure rate of HCV was 96.8%, and statistically significant differences were observed in aspartate transaminase (AST) and alanine transaminase (ALT) levels, previous antiviral therapy history and initial treatment regimens among patients with different HCV genotypes (all P<0.05). Among the multi-type combination regimens, the cure rate of sofosbuvir (SOF)-containing regimens was 97.00%, that of velpatasvir (VEL)-containing regimens was 95.45%, and the cure rate of other treatment regimens, including the regimens with ribavirin (RIB) intervention, was 93.10%. Among the patients with treatment failure, 45.00% had genotype 3, 40.00% had abnormal abdominal ultrasound results, and all presented with elevated baseline AST test levels. ConclusionThe clinical treatment of HCV patients should consider the differences in genotype and biochemical test results. DAAs combined regimens for HCV have achieved a high cure rate in Dehong Prefecture and are applicable to HCV patients with diverse clinical characteristics, providing research evidence for wider application.

Objective:To investigate the sero-conversion rate of HIV antibody and influencing factors in cross-border couples in Dehong Dai and Jingpo Autonomous Prefecture(Dehong).Methods:A cohort design was used to recruit HIV-negative people in cross-border couples in Dehong in 2017. Follow-up was conducted in 2023, and questionnaire survey and HIV test were carried out to calculate the sero-conversion rate of HIV antibody. Univariate and multivariate logistic regression models were used to analyze the influence factors for HIV infections.Results:A total of 36 278 HIV-negative persons in cross-border couples were included in the 2017 baseline survey, of whom 22 438 (61.9%) were tested in follow-up in 2023. The sero-conversion rate between 2017 and 2023 was 0.51% (115/22 438). Multivariate logistic regression analysis showed that length of marriage <6 years, Jingpo ethnic group, education level of primary school or below, drug use, illegal marriage and HIV infected spouse were the risk factors of HIV infection in male spouses, and length of marriage <6 years, Jingpo ethnic group, illegal marriage and HIV infected spouse were the risk factors in female spouses.Conclusions:The sero-conversion rate of HIV antibody in cross-border couples in Dehong was relatively high. HIV infection was mainly caused by secondary transmission in the couples, and men might also be infected through drug use. It is necessary to strengthen the registration and management of cross-border couples, especially the couples with discordant HIV infection status, and the intervention in drug users to reduce the risk for secondary transmission of HIV in the cross-border couples.

Objective:New HIV infections serve as a crucial indicator for assessing the dynamic changes in the HIV epidemic. This study aims to estimate the number of new HIV infections in Dehong Dai and Jingpo Autonomous Prefecture of Yunnan Province (Dehong), using a back-calculation method that integrates diagnosis delay approaches and Bayesian theory. Additionally, it compares the differences between these two estimation methods.Methods:Data were obtained from the Chinese Information System for Disease Control and Prevention. Based on CD4 + T lymphocytes (CD4) counts depletion model, the first CD4 count prior to antiretroviral therapy of HIV-infected individuals diagnosed in Dehong from 2010 to 2023 was utilized to retroactively determine the infection date of HIV-infected individuals and ascertain the annual number of new HIV infections who had been diagnosed. Subsequently, the diagnosis delay distribution method and Bayesian theory were leveraged to assess the diagnosis probability of newly infected individuals, thereby projecting the number of new HIV infections in the region over the specified period. Results:During 2010-2023, a total of 5 693 individuals aged 15 and above, excluding mother-to-child transmission, were diagnosed with HIV in Dehong. After excluding 364 cases due to missing CD4 count results or abnormal first CD4 counts (≥2 000 cells/μl), 5 329 HIV-infected individuals were included in the final analysis. Through CD4 counts back-calculation from 2010 to 2023, the annual number of new infections diagnosed was 479, 427, 337, 305, 256, 219, 194, 193, 131, 166, 120, 71, 42 and 47. When using the diagnosis delay distribution method and life table analysis, the cumulative diagnosis probability rose from 0.301 within one year to 0.913 within 14 years, leading to a reduction in the number of estimated new infections from 577 in 2010 to 168 in 2023, with a total estimate of 4 412 (95% CI:4 350-4 480). Alternatively, based on Bayesian theory, the diagnosis probability increased from 0.413 within one year to 0.946 within 14 years, leading to a reduction in the number of estimated new infections from 557 in 2010 to 122 in 2023, with a total of 3 814 (95% CI: 3 787-3 837). Conclusions:Both methods yielded consistent results in estimating new HIV infections in Dehong from 2010 to 2023. Given the region's ongoing expansion of HIV testing, the estimates derived from Bayesian theory may more accurately reflect the actual situation. These findings provide a reference basis for formulating and optimizing HIV/AIDS prevention and control strategies in Dehong, facilitating progress toward the goal of eliminating AIDS by 2030 in the region.

ObjectiveTo explore the prevalence and influencing factors of multimorbidity among the HIV-infected individuals receiving anti-viral therapy (ART) in Dehong Prefecture of Yunnan Province, so as to provide a reference for the long-term follow-up management of HIV-infected patients and the comprehensive prevention and treatment of chronic diseases. MethodsA cross-sectional study was conducted to investigate the multimorbidity burden among the HIV-infected adults receiving ART in Dehong Prefecture from January to July 2021 and a self-designed questionnaire was used to analyze relevant disease indicators. Multivariate logistic regression analysis was used to investigate the influencing factors of multimorbidity among the HIV-infected individuals. ResultsA total of 3 946 HIV-infected individuals receiving ART were enrolled in this study, of which 63.7% aged ≤50 years, with a male to female ratio of 1.1∶1. Among the 3 946 cases, 825 of them had ≥2 comorbidities, with a co-prevalence rate of 20.9% (95%CI:19.6%‒22.2%), and the main comorbidities were dyslipidemia, diabetes, and hypertension. Multivariate logistic regression analysis showed that 40≤ aged <50 years (aOR=1.86, 95%CI: 1.45‒2.40, P<0.001), 50≤ aged ≤85 years (aOR=3.75, 95%CI: 2.93‒4.80, P<0.001), Dai nationality (aOR=1.21, 95%CI: 1.01‒1.47, P=0.043), BMI≥24.0 kg∙m^-2 (aOR=1.79, 95%CI: 1.49‒2.14, P<0.001), 10.0≤ with ART duration for <12.5 years (aOR=1.49, 95%CI: 1.05‒2.12, P=0.024), with ART duration for ≥12.5 years (aOR=1.50, 95%CI: 1.05‒2.15, P=0.026), use of second-line HIV therapy (aOR=1.43, 95%CI: 1.19‒1.70, P<0.001) and other therapy options (aOR=3.16, 95%CI: 2.17‒4.61, P<0.001) were positively correlated with multimorbidity. ConclusionThe prevalence of multimorbidity among the HIV-infected individuals receiving ART in Dehong Prefecture is high, which is associated with the advancing age and prolonged treatment time, particularly with a significant burden of dyslipidemia, diabetes, and hypertension. Comprehensive surveillance and targeted management of comorbidities, along with ART follow-up, need to be strengthened in the future.

Objective:To understand the incidence of diabetes and influencing factors, the trend of FPG change and risk for mortality in HIV-infected individuals after antiretroviral therapy (ART) in Dehong Dai and Jingpo Autonomous Prefecture (Dehong).Methods:The HIV/AIDS treatment database was collected from China Information System for Disease Control and Prevention. This retrospective cohort study was conducted in HIV-infected individuals with access to ART in Dehong during 2004-2020.The Cox proportional hazard regression model was used to analyze the incidence density of diabetes, the influencing factors and risk for mortality in HIV-infected individuals with access to ART, mixed linear effects model was used to analyze the trend of FPG change and predict FPG in those with different glucose metabolic status at baseline survey. Statistical analysis was performed using software SAS 9.4.Results:A total of 8 763 HIV-infected individuals were included, in whom 8 432 (96.2%) had no diabetes, 331 had diabetes. The incidence density of diabetes was 2.31/1 000 person years. Multivariate Cox proportional hazard regression analysis revealed that 30- 59 years old, BMI ≥24.0 kg/m 2, Efavirenz (EFV) based initial treatment regimen and impaired fasting glucose (IFG) at baseline survey were significantly and positively associated with incidence of diabetes. Mixed effect model revealed that FPG was positively correlated with the duration of ART, age and baseline FPG. Suffering from diabetes was a risk factor for mortality in HIV-infected individuals both at baseline survey and during follow-up. Conclusions:The risk for diabetes increased in HIV-infected individuals who were 30-59 years old, baseline BMI ≥24.0 kg/m 2, received EFV based initial treatment, and IFG in HIV-infected individuals after antiretroviral therapy in Dehong, 2004-2020. It is important to pay close attention to their blood glucose, and patients with high blood glucose should receive treatment as early as possible.

Objective:To analyze the epidemic characteristics and trends of newly reported HIV-infected people among Chinese and Burmese in Dehong Dai and Jingpo Autonomous Prefecture (Dehong Prefecture) of Yunnan Province, China, from 2000 to 2023, and provide evidence for formμlating AIDS prevention and control measures for the Burmese living in Dehong.Methods:The data were obtained from the Chinese Disease Control and Prevention Information System. The distribution of HIV-infected people with different population characteristics was analyzed, and the Joinpoint regression model was used to analyze the temporal trend of crude detection rate in different genders, ethnicities, and ages.Results:From 2000 to 2023, 24 989 newly HIV infections were reported in Dehong Prefecture, of which 14 594 (58.4%) were Chinese and 10 395 (41.6%) were Burmese. Compared with Chinese, Burmese women (32.9%, 3 416/10 395), those aged 20-29 (40.9%, 4 248/10 395), and Jingpo people (26.7%, 2 773/10 395) accounted for a higher proportion. The new diagnosis rate of Chinese nationals increased from 1.0/10 000 in 2000 to 15.4/10 000 in 2004, and then showed a downward trend, falling to 1.2/10 000 in 2023. Among them, compared with other age groups, Dai and other ethnic groups and women, the new diagnosis rate among 20-49 age group, Jingpo and men were relatively higher, at 1.7/10 000, 2.3/10 000 and 1.3/10 000 respectively. Regarding the method of detection, the Chinese HIV-infected people were mainly detected by key population testing (35.7%), while the Burmese HIV-infected people by key population testing (28.9%) and physical examination for entry-exit personnel (25.3%). The transmission routes of both nationalities were mainly heterosexual transmission, but compared with Chinese HIV-infected persons, the proportion of Burmese infected persons through non-marital non-commercial transmission was relatively higher (66.4% vs. 60.6%). The proportion of Chinese nationals with a first CD4 +T lymphocyte (CD4) counts of <200 cells/μl (28.9%) was higher than that of Burmese nationals (19.8%). Conclusions:The rising trend of HIV infection among Chinese and Burmese people in Dehong Prefecture from 2000 to 2023 slowed down. The new diagnosis rate was higher in the 20-49 age group, Jingpo and men. Compared with Burmese HIV-infected people, the proportion of Chinese HIV-infected people with first CD4 counts <200 cells/μl was relatively higher. Comprehensive interventions should be further carried out for Myanmar nationals, and efforts should be made to expand testing for Chinese nationals.

ObjectiveThis study aimed to investigate the HIV genotypic subtypes and molecular transmission clusters among men who have sex with men （MSM） with newly reported HIV infections in Dehong Dai and Jingpo Autonomous Prefecture （Dehong Prefecture）， Yunnan Province， China， between 2010 and 2019. The study aimed to identify potential high-risk transmitters and provide reference data for screening， management， and intervention of infection sources. MethodsPlasma samples from newly reported HIV-positive MSM individuals in Dehong Prefecture between 2010 and 2019 were collected. The viral pol gene fragments were amplified， sequenced， and genotyped. Genetic distances （GD） between pairwise sequences were analyzed and calculated. MEGA 7.0 and Gephi were used for phylogenetic and molecular transmission network analysis. ResultsA total of 159 newly reported HIV infections among MSM were included in the study， with successful genotyping of 100 cases. Nine HIV-1 subtypes were identified， with the most prevalent being CRF01_AE subtype （52%）， followed by CRF07_BC subtype （31%）， CRF55_01B subtype （10%）， and others （7%）. Cluster analysis revealed a total network access rate of 67%， forming three transmission clusters. CRF01_AE subtype formed two transmission clusters with 38 and 3 infected individuals， while CRF07_BC subtypes formed one transmission cluster with 26 infected individuals. The transmission network within the CRF01_AE clusters exhibited a more complex relationship. Significant differences in educational level were observed between the two main transmission clusters. ConclusionThe predominant HIV subtypes among newly reported MSM cases in Dehong Prefecture between 2010 and 2019 were CRF01_AE and CRF07_BC. Significant cultural differences are observed between the main transmission clusters. Continued monitoring of genotypic subtypes and targeted interventions within transmission clusters are warranted.

ObjectiveTo determine the characteristics， viral load and immunological status of HIV-infected persons and their spouses who became HIV-positive， and the reasons for HIV seroconversion in 55 HIV discordant couples in Dehong Dai and Jingpo Autonomous Prefecture （Dehong Prefecture）， Yunan Province. MethodsData on the 55 couples meeting the criteria of having a previously positive spouse were retrieved from the AIDS Integrated Prevention and Control Data Information System of the China Disease Control and Prevention Information System during 2015-2021. General socio-demographic information， age at diagnosis， exposure history， CD4⁺T lymphocyte count， and antiviral treatment were collected. Descriptive analysis and chi-square test were used to compare the distribution of pre-HIV-positive spouses and their HIV seroconverted spouses. ResultsA total of 55 spouses from HIV discordant couples had HIV seroconversion. Of them， 72.7% （40/55） of pre-HIV-positive spouses were husbands. The most recent CD4⁺T lymphocyte count in the pre-HIV-positive spouses was （328.31±246.27） cells·μL^-1 at the time of diagnosis of their seroconverted spouses， of which 36.3% （20/55） had a CD4⁺T lymphocyte count of less than 200 cells·μL^-1. Furthermore， of those pre-HIV-positive spouses with low CD4⁺T lymphocyte count， 45.0% （9/20） had an undetectable viral load， 15.0% （3/20） <400 copies·mL^-1， and 25.0%（5/20） ≥400 copies·mL^-1. Additionally， 16.4% （9/55） of the pre-HIV-positive spouses did not have a viral load test. The main reasons for HIV seroconversion among HIV-negative spouses in the discordant couples were poor condom use， poor compliance with antiviral therapy， and treatment discontinuation. ConclusionThe follow-up management of HIV discordant couples should be strengthened in Dehong Prefecture， especially the monitoring of viral load levels and immunological status of pre-HIV-positive spouses， to improve their compliance with antiviral therapy and reduce treatment discontinuation， which would effectively prevent and control HIV transmission between spouses.