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.

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.

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 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.

ObjectiveTo analyze the prevalence of HCV antibody positive and associated factors among drug users in Dehong Prefecture， Yunnan， and to provide scientific evidence for HCV prevention. MethodsQuestionnaire surveys and serological testing were conducted among 400 drug users continuously selected from four national AIDS sentinel surveillance in Dehong Prefecture between January and July during 2014‒2021. Results11 683 drug users were included. The prevalence of HCV antibody positive was 20.2% overall， and 14.9%， 20.1%， 22.4%， 19.8%， 22.5%， 20.6%， 24.5%， 19.0% from 2014 to 2021， respectively （trend Z=-3.78， P<0.001）. Multivariable analysis indicated the following were independently associated with HCV antibody positive： that older age （OR=1.02， 95%CI： 1.02‒1.03）， male （OR=1.70， 95%CI： 1.19‒2.42）， unmarried （OR=1.64， 95%CI： 1.44‒1.87）， divorced or widowed （OR=1.73， 95%CI： 1.48‒2.02）， Jingpo ethnicity （OR=1.39， 95%CI： 1.19‒1.63）， injection drug use （OR=15.46， 95%CI： 13.13‒18.12）， and HIV infection（OR=4.96， 95%CI：4.12‒5.99）. ConclusionThe prevalence of HCV antibody positive among drug users in Dehong Prefecture is high and increases with some fluctuations during 2014 to 2021， which highlights the need to develop interventions targeting this population.

ObjectiveTo investigate the factors that influence the first CD4+T lymphocyte counts in newly reported HIV-infected cases aged 50 and above in Dehong Prefecture of Yunnan Province during 2016 to 2021， and to understand the patient immune status and disease progression so as to provide scientific basis for HIV prevention and control strategies in the future. MethodsData was collected from the national HIV/AIDS information system. Multivariate logistic regression was used for the analysis of factors affecting the first CD4+T lymphocyte counts. ResultsA total of 642 cases of HIV infection were newly reported， among them， 571 cases had CD4+T lymphocyte counts and 200 cases （35.03%） had CD4+T lymphocyte counts <200 cells·μL^-1. Patients who were in the 50-59 age group， male， divorced or widowed， and less educated were more likely to have CD4+T lymphocyte counts <200 cells·μL^-1. Compared with active testing consultants， forced reeducation through labor or drug rehabilitation cases were less likely to have CD4+T lymphocyte counts <200 cells·μL^-1. ConclusionThere is no obvious upward trend in newly reported HIV infected persons aged 50 years and above in Dehong Prefecture during 2016 to 2021. However， the situation of CD4+T lymphocyte counts <200 cells·μL^-1 is still serious. Attention should be paid to the key groups： male， Chinese nationality， farmers， Han nationality， married or divorced， junior high school education or below， and heterosexual transmission. It is necessary to strengthen the intervention in people aged 50 and above and improve the detection efficiency.