1.Neurocognitive function and its influencing factors in people living with HIV/AIDS.
Qiuling LU ; Qian YE ; Dan CHEN ; Xingli LI
Journal of Central South University(Medical Sciences) 2024;49(12):1902-1908
OBJECTIVES:
The prevalence of human immunodeficiency virus (HIV) associated neurocognitive disorders (HAND) in people living with HIV/acquired immunodeficiency syndrome (PLWHA) worldwide is as high as 42.6%. This study aims to investigate the neurocognitive function status and its influencing factors in PLWHA, providing evidence for early identification and intervention of neurocognitive impairment in this population.
METHODS:
PLWHA aged 18 and above who received outpatient or inpatient care at the First Hospital of Changsha between June and August 2019 were included. Sociodemographic and HIV-related information were collected. Neurocognitive function was assessed using the Brief Neurocognitive Screen (BNCS), which includes the Digit Symbol Test (DST) and Trail Making Test A and B (TMT-A and TMT-B). Impaired neurocognitive function was defined as abnormal scores in at least one dimension (DST score <30, TMT-A time >60 seconds, TMT-B time >90 seconds).
RESULTS:
A total of 375 PLWHA were included, of whom 212 (56.5%) exhibited neurocognitive impairment. Higher impairment rates were observed among females, individuals aged ≥50 years, those with primary education or below, and those who were married/cohabiting (all P<0.05). Heterosexual transmission accounted for the majority of infections (233 cases, 62.1%), with a significantly higher rate of neurocognitive impairment (69.1%) compared to homosexual transmission and unknown routes (P<0.001). Higher WHO clinical stages were associated with increased impairment rates (P<0.001). PLWHA with a nadir CD4+ T cell count <200 cells/mm3 or an infection duration ≥5 years had significantly higher impairment rates than those with higher CD4+ T cell count or shorter infection durations (both P<0.05). Logistic regression analysis showed that patients with a nadir CD4+ T cell count <200 cells/mm3 had a significantly higher risk of neurocognitive impairment (OR=2.461, 95% CI 1.116 to 5.427). Compared to WHO stage I, the risk increased progressively in stage II (OR=6.005, 95% CI 2.906 to 12.407), stage III (OR=6.989, 95% CI 2.502 to 19.523), and stage IV (OR=22.059, 95% CI 7.289 to 66.760; all P<0.05).
CONCLUSIONS
Potential risk factors for neurocognitive impairment in PLWHA include low nadir CD4+ T cell counts and advanced WHO clinical stages. The lower the CD4+ T cell count and the higher the clinical stage, the greater the risk of neurocognitive dysfunction.
Humans
;
Female
;
Male
;
Middle Aged
;
HIV Infections/psychology*
;
Adult
;
Acquired Immunodeficiency Syndrome/psychology*
;
Neuropsychological Tests
;
Cognitive Dysfunction/epidemiology*
;
Neurocognitive Disorders/epidemiology*
;
CD4 Lymphocyte Count
;
Risk Factors
;
Aged
2.Effects of Differential First-Line Antiretroviral Therapy (ART) Regimens on Mortality among HIV/AIDS Children in Southwest China: A 15-year Retrospective Cohort Study.
Qiu Li CHEN ; Yan Yan LIAO ; Shan Fang QIN ; Chun Yan LU ; Pei Jiang PAN ; Hai Long WANG ; Jun Jun JIANG ; Zhi Gang ZHENG ; Feng Xiang QIN ; Wen HONG ; Chuan Yi NING ; Li YE ; Hao LIANG
Biomedical and Environmental Sciences 2023;36(11):1079-1083
3.Progress in research on HIV cluster detection and response.
Huan Chang YAN ; Yu LIU ; Shi Xing TANG ; Jing GU ; Yuan Tao HAO
Chinese Journal of Epidemiology 2023;44(4):677-682
HIV cluster detection and response (CDR) is a critical strategy to end the HIV epidemic by offering information to identify prevention and care services gaps. The risk metrics for HIV clusters can be classified into three groups: growth-based metrics, characteristic-based metrics, and phylogeny-based metrics. When identifying HIV risk clusters, the public health response can reach people in the affected networks, including people with undiagnosed HIV, people with diagnosed HIV who might not be accessing HIV care or other services, and people without HIV who would benefit from prevention services. To provide references for HIV precise prevention in China, we summarized the risk metrics and the intervention measures for CDR.
Humans
;
HIV Infections/prevention & control*
;
Acquired Immunodeficiency Syndrome/epidemiology*
;
Public Health
;
Epidemics/prevention & control*
;
China/epidemiology*
4.Analysis on survival time and influencing factors among reported HIV/AIDS in Yunnan Province, 1989-2021.
Li Ru FU ; Min Yang XIAO ; Man Hong JIA ; Li Jun SONG ; Xue Hua LI ; Jin NIU ; Xiao Wen WANG ; Zu Yang ZHANG ; Yan Ling MA ; Hong Bing LUO
Chinese Journal of Epidemiology 2023;44(6):960-965
Objective: To analyze the survival time of reported HIV/AIDS and influencing factors of Yunnan Province from 1989 to 2021. Methods: The data were extracted from the Chinese HIV/AIDS comprehensive response information management system. The retrospective cohort study was conducted. The life table method was applied to calculate the survival probability. Kaplan-Meier was used to draw survival curves in different situations. Furthermore, the Cox proportion hazard regression model was constructed to identify the factors related to survival time. Results: Of the 174 510 HIV/AIDS, the all-cause mortality density was 4.23 per 100 person-years, the median survival time was 20.00 (95%CI:19.52-20.48) years, and the cumulative survival rates in 1, 10, 20, and 30 years were 90.75%, 67.50%, 47.93% and 30.85%. Multivariate Cox proportional risk regression model results showed that the risk of death among 0-14 and 15-49 years old groups were 0.44 (95%CI: 0.34-0.56) times and 0.51 (95%CI:0.50-0.52) times of ≥50 years old groups. The risk for death among the first CD4+T lymphocytes counts (CD4) counts levels of 200-349 cells/μl, 350-500 cells/μl and ≥501 cells/μl groups were 0.52 (95%CI: 0.50-0.53) times, 0.41 (95%CI: 0.40-0.42) times and 0.35 (95%CI: 0.34-0.36) times of 0-199 cells/μl groups. The risk of death among the cases that have not received antiretroviral therapy (ART) was 11.56 (95%CI: 11.26-11.87) times. The risk for death among the cases losing to ART, stopping to ART, both losing and stopping ART was 1.66 (95%CI:1.61-1.72) times, 2.49 (95%CI:2.39-2.60) times, and 1.65 (95%CI:1.53-1.78) times of the cases on ART. Conclusions: The influencing factors for the survival time of HIV/AIDS cases were age at diagnosis in Yunnan province from 1989 to 2021. The first CD4 counts levels, antiretroviral therapy, and ART compliance. Early diagnosis, early antiretroviral therapy, and increasing ART compliance could extend the survival time of HIV/AIDS cases.
Humans
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Middle Aged
;
Retrospective Studies
;
China/epidemiology*
;
Acquired Immunodeficiency Syndrome/epidemiology*
;
Anti-Retroviral Agents/therapeutic use*
;
Asian People
5.Progress in research of strategies of expanding HIV testing in men who have sex with men.
Chinese Journal of Epidemiology 2023;44(7):1163-1168
In recent years, HIV infection prevalence in MSM has been in increase in China. HIV testing is the only way to identify HIV-infection, effectively curb the spread of HIV and reduce AIDS-related death risks. At present, the situation of HIV testing in MSM is not satisfactory, and expanding HIV testing is the one of the key measures for AIDS prevention and control in this population. This paper summarizes the role and strategies of expanding HIV testing in MSM in order to provide a reference for the improvement of HIV testing in this population.
Male
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Humans
;
HIV Infections/epidemiology*
;
Homosexuality, Male
;
Acquired Immunodeficiency Syndrome
;
Risk-Taking
;
Sexual and Gender Minorities
;
HIV Testing
;
China/epidemiology*
8.Epidemiological characteristics of newly reported HIV-infected adolescents aged 15-17 years outside school in China, 2011-2019.
Yi Chen JIN ; Chang CAI ; Qian Qian QIN ; Fang Fang CHEN ; Hou Lin TANG
Chinese Journal of Epidemiology 2022;43(1):32-36
Objective: To understand the epidemiological characteristics of HIV-infected adolescents outside school in China and provide reference to targeted prevention and control of HIV infection in this population. Methods: All the HIV-infected adolescents aged 15-17 years outside school reported during 2011-2019 were included this study. The information about their demographics, transmission routes and migration were collected from HIV/AIDS Comprehensive Response Information Management System. The χ2 test was done for comparison among groups. The Joinpoint 4.9.0 software was applied to the annual percent change (APC) for time trends analysis using the Joinpoint regression model. The Excel 2019 and SPSS 22.0 software were used for data cleaning and statistical analysis. Results: A total of 4 919 HIV-infected adolescents aged 15-17 years outside school were reported accumulatively in China between 2011 and 2019, accounting for 63.4% (4 919/7 757) of total reported HIV-infected cases in this age group. Analysis on trend revealed that the new HIV infection diagnosis rate has become stable since 2016 (APC=2.5%, P=0.173) after the increase between 2011 and 2015 (APC=36.4%, P<0.001). The migration across provinces was discovered in 13.9% (684/4 919) of the HIV-infected adolescents outside school. Males, workers, and those diagnosed in detention centers or transmitted by injecting drugs or homosexual contacts accounted for a larger proportion in migrated cases compared with non-migrated cases. The adolescents outside school mainly got HIV infected by sexual contacts route, in which 66.5% (280/421) of the males were infected by homosexual contacts, while 97.8% (182/186) of the females were infected by heterosexual contacts in 2019. Conclusions: HIV-infected adolescents aged 15-17 years outside school were mainly infected by sexual contacts. However, adolescents outside school have low awareness of sexual health and high mobility, to whom close attention should be paid to improve their awareness of sexual health and to provide them with appropriate HIV infection prevention and treatment service.
Acquired Immunodeficiency Syndrome
;
Adolescent
;
China/epidemiology*
;
Female
;
HIV Infections/epidemiology*
;
Humans
;
Male
;
Schools
;
Sexual Behavior
9.Analysis on migration of HIV/AIDS cases and related factors in Liangshan Yi Autonomous Prefecture in Sichuan province, 2020.
Budu SHAMA ; Bin YU ; Shu Juan YANG ; Moluo WUNIUMO ; A Rong LUO ; Xiu Xia SUN ; Zhuan Teng FENG ; Zi Hang WANG ; Aji NENGGE ; Tian Lu LI ; Zhong Hong WANG ; Ju WANG ; Xiao Ying FENG ; Gang YU ; Chunnong JIKE
Chinese Journal of Epidemiology 2022;43(1):44-49
Objective: To analyze the migration of the HIV/AIDS cases and related factors in Liangshan Yi autonomous prefecture (Liangshan). Methods: According to HIV/AIDS Comprehensive Response Information Management System of China Information System for Disease Control and Prevention, a total of 28 772 HIV/AIDS cases who had follow-up records in Liangshan in 2020 were included in the survey. The migration of the HIV/AIDS cases was described and the related factors were analyzed using multiple logistic regression models, and the migration destinations of the HIV/AIDS cases were mapped. Results: Among the 28 772 HIV/AIDS cases, 20.89% (6 010/28 772) had migration in 2020. Multivariate logistic regression analysis showed that among the HIV/AIDS cases, the migration related factors included being aged 15-24 years (compared with being aged 0-14 years, OR=2.74, 95%CI:2.04-3.69) and ethnic group (compared with Han ethnic group, OR=2.44, 95%CI:2.19-2.72), having education level of junior high school (compared with having education level of primary school or below, OR=1.25, 95%CI:1.14-1.38), being unmarried (compared with being married, OR=1.29, 95%CI:1.20-1.39), being engaged in business services (compared with being engaged in farming, OR=1.96, 95%CI:1.31-2.92), receiving antiviral treatment <1 year (compared with receiving antiviral treatment >3 years, OR=1.42, 95%CI:1.26-1.61), having recent CD4+T lymphocytes (CD4) counts >500 cells/μl (compared with having recent CD4 counts <200 cells/μl, OR=1.15, 95%CI:1.03-1.29). The geographical distribution maps showed that among all cities in Sichuan, Xichang (13.26%, 797/6 010) and Chengdu (10.12%,608/6 010) were the main migration destinations of the HIV/AIDS cases, and the provinces outside Sichuan where the HIV/AIDS cases would like to migrate to were mainly Guangdong (18.19%, 1 093/6 010) and Zhejiang provinces (7.67%, 461/6 010) in 2020. The HIV/AIDS cases who migrated where Liangshan, within Sichuan province, and to other provinces accounted for 27.67% (1 663/6 010), 15.34% (922/6 010) and 56.99% (3 425/6 010), respectively. Conclusions: More attention should be paid to the mobility characteristics and the classification management of HIV/AIDS cases according to their characteristics in Liangshan. Timely access to information on changes in the place of work and residence of HIV/AIDS cases should be warranted when they have migration. Good referrals and management for mobility of HIV/AIDS cases in different places should be made to reduce loss to follow-up and improving interventions.
Acquired Immunodeficiency Syndrome/epidemiology*
;
Adolescent
;
Adult
;
Child
;
Child, Preschool
;
China/epidemiology*
;
Ethnicity
;
HIV Infections/epidemiology*
;
Humans
;
Infant
;
Infant, Newborn
;
Logistic Models
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Marriage
;
Young Adult
10.A review of global and domestic HIV epidemic estimation.
Fang Fang CHEN ; Hou Lin TANG ; Dong Min LI ; Po LYU
Chinese Journal of Epidemiology 2022;43(1):118-122
Due to the latent characteristics of HIV infection, exceptionality of HIV high-risk population, social discrimination and insufficient awareness of AIDS prevention, timely testing and diagnosis of HIV infection is still a challenge worldwide. Until recently, it is difficult to exactly understand the overall HIV epidemic only using routine surveillance data. Therefore, epidemiological and statistical modeling is widely used to address this issue. Almost at the same time when AIDS was firstly discovered firstly, scientists also began to study the methods for the estimation and prediction of HIV infection epidemic. This article summarizes the development of global and domestic HIV epidemic estimation for the further understanding of its current performance and methods applied to provide reference for the future work.
Acquired Immunodeficiency Syndrome/epidemiology*
;
Epidemics
;
HIV Infections/epidemiology*
;
Humans
;
Models, Statistical

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