Application of limiting antigen avidity enzyme immunoassay for estimating HIV-1 incidence in men who have sex with men.
10.3760/cma.j.cn112338-20210609-00463
- Author:
Xi Jia TANG
1
;
Lei Jing DUAN
2
;
Wen Li LIANG
2
;
Si CHENG
1
;
Ting Li DONG
1
;
Zhen XIE
1
;
Kang Mai LIU
1
;
Fei YU
3
;
Zi Huang CHEN
3
;
Guo Dong MI
3
;
Liang LIANG
4
;
Hong Jing YAN
5
;
Lin CHEN
6
;
Li LIN
7
;
Dian Min KANG
8
;
Xiao Bing FU
9
;
Mao Feng QIU
2
;
Zhen JIANG
1
;
Jie XU
1
;
Zun You WU
1
Author Information
1. Division of Prevention and Intervention, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
2. National HIV/AIDS Reference Laboratory, National Center for AIDS and STD Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
3. Danlan Beijing Media Limited, Beijing 100020, China.
4. Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang 050021, China.
5. Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
6. Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China.
7. Fujian Provincial Center for Disease Control and Prevention, Fuzhou 350001, China.
8. Shandong Provincial Center for Disease Control and Prevention, Ji'nan 250014, China.
9. Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
- Publication Type:Journal Article
- MeSH:
Cross-Sectional Studies;
HIV Infections/epidemiology*;
HIV-1;
Homosexuality, Male;
Humans;
Immunoenzyme Techniques;
Incidence;
Male;
Sexual and Gender Minorities
- From:
Chinese Journal of Epidemiology
2022;43(1):72-77
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To estimate the incidence of HIV-1 infection in men who have sex with men (MSM) in key areas of China through HIV-1 limiting antigen avidity enzyme immunoassay (LAg-Avidity EIA), analyze the deviation from the actual results and identify influencing factors, and provided reference for improving the accuracy of estimation results. Methods: Based on the principle of the cohort randomized study design, 20 cities were selected in China based on population size and the number of HIV-positive MSM. The sample size was estimated to be 700 according to the HIV-1 infection rate in MSM. MSM mobile phone app. was used to establish a detection appointment and questionnaire system, and the baseline cross-sectional survey was conducted from April to November 2019. LAg-Avidity EIA was used to identify the recent infected samples. The incidence of HIV-1 infection was calculated and then adjusted based on the estimation formula designed by WHO. The influencing factors were identified by analyzing the sample collection and detection processes. Results: Among the 10 650 blood samples from the participants, 799 were HIV-positive in initial screening, in which 198 samples (24.78%) missed during confirmation test. Only 621 samples were received by the laboratory. After excluding misreported samples, 520 samples were qualified for testing. A total of 155 samples were eventually determined as recent infection through LAg-Avidity EIA; Based on the estimation formula , the incidence of HIV-1 infection in MSM in 20 cities was 4.06% (95%CI:3.27%-4.85%), it increased to 5.53% (95%CI: 4.45%-6.60%)after the adjusting for sample missing rate. When the sample missing rate and misreporting rate were both adjusted, the incidence of HIV-1 infection in the MSM increased to 5.66% (95%CI:4.67%-6.65%). The actual incidence of HIV-1 infection in MSM in the 20 cities might be between 4.06% and 5.66%. Conclusions: Sample missing and misreporting might cause the deviation of the estimation of HIV-1 infection incidence. It is important to ensure the sample source and the quality of sample collection and detection to reduce the deviation in the estimation of HIV-1 infection incidence.
