-
As shown in Figure 1, a total of 16, 535 individuals had 18, 237 episodes of HIV testing at 32 VCT clinics in Wuxi, China, between January 1, 2013 and December 31, 2015. Among these individuals, 61.1% were women including 3, 125 pregnant women, 61.5% were younger than 30 years, 58.8% were married, 46.8% had high school education or lower, and 78.3% were residents of Wuxi. Meanwhile, 31.4% reported previous HIV testing [14.2% for people who have commercial heterosexual behavior (PWCH), 35.5% for MSM, and 88.8% for injection drug users (IDUs)]. In male individuals, 29.0% reported male-male sexual behaviors, 22.0% reported casual non-commercial heterosexual behaviors, and 38.1% reported having commercial heterosexual behaviors at the first recorded test. In female individuals, 18.0% reported casual non-commercial sex with a man, and 20.3% reported having sold sex to a man. At first recorded HIV test, 1.5% of the individuals were diagnosed with HIV, with male individuals having higher rate than female individuals (2.9% vs. 0.7%, P < 0.05) and MSM having the highest rate among all individuals (7.7%); 2.3% of the individuals were diagnosed with syphilis (Table 1). Approximately 29.8% of the individuals attending hospital-based VCT clinics and only 5.3% of those visiting VCT clinics affiliated to community health service centers reported having ever had male-male sex (P < 0.05).
Figure 1. Flow chart of HIV testing in VCT clinics and HIV diagnosis in Wuxi, China, from 2013 to 2015. *Other services included clinical services provided in comprehensive hospitals, specialized hospitals, community health care centers, and private clinics.
Table 1. Characteristics of Individuals at First Recorded HIV Test at
Characteristics N % No. HIV+ % HIV+ Total 16, 535 100.0 252 1.5 Gender Female 10, 107 61.1 68 0.7 Male 6, 428 38.9 184 2.9 Age (year) < 30 10, 160 61.5 117 1.2 ≥ 30 6, 375 38.5 135 2.1 Marriage Not married 6, 814 41.2 123 1.8 Married 9, 721 58.8 129 1.3 Education ≤ High school 7, 744 46.8 107 1.4 > High school 8, 791 53.2 145 1.6 Residency Permanent residents in Wuxi 12, 943 78.3 198 1.5 Migrants 3, 592 21.7 54 1.5 Type of hosting institute Community health service center 6, 604 39.9 59 0.9 Hospital 3, 084 18.7 74 2.4 Center for disease control and prevention 6, 847 41.4 119 1.7 Risk category Casual non-commercial heterosexual behaviors 3, 237 19.6 15 0.5 Commercial heterosexual behaviors 4, 498 27.2 34 0.8 Male-male sexual behaviors 1, 867 11.3 143 7.7 Injection drug use 282 1.7 10 3.5 Prenatal health check 3, 025 18.3 1 0.03 Premarital health check 1, 056 6.4 2 0.2 Spouse/sexual partner tested positive 428 2.6 8 1.9 Other 2, 142 13.0 39 1.8 Previous HIV testing No 11, 349 68.6 165 1.5 Yes 5, 186 31.4 87 1.7 Syphilis Negative 15, 443 93.4 233 1.5 Positive 388 2.3 7 1.8 Unknown 704 4.3 12 1.7 Calendar year of initial test 2013 6, 058 36.6 83 1.4 2014 5, 446 32.9 81 1.5 2015 5, 031 30.4 88 1.7 A total of 11, 504 individuals had their first recorded HIV test in either 2013 or 2014. Of these, 655 (5.7%) retested HIV within 12 months (4.1% for PWCH, 17.1% for MSM, and 52.5% for IDUs). Among pregnant women, only 32 (1.0%) retested HIV within 12 months. In a multivariable analysis, repeat HIV testing within 12 months was associated with being male [adjusted odds ratio (aOR) = 1.7, 95% confidence interval (CI): 1.4-2.2], risk behaviors [commercial heterosexual behavior (aOR = 1.4, 95% CI: 1.1-1.6), male-male sexual behavior (aOR = 3.7, 95% CI: 2.7-4.9), and injection drug use (aOR = 9.9, 95% CI: 6.5-15.1)], and having taken HIV test previously prior to study baseline (aOR = 2.0, 95% CI: 1.6-2.4) (Table 2). About one-third of individuals (3, 657, 31.8%) had previous HIV testing (13.5% for PWCH, 36.9% for MSM, and 90.6% for IDUs).
Table 2. Factors Associated with Repeat HIV Testing among VCT Individuals in Wuxi,
Variables n Repeat Test* (%) Univariable Analysis Multivariable Analysis OR 95% CI P aOR 95% CI P Gender Female 7, 237 2.7 Ref Ref Male 4, 267 10.8 4.4 3.7-5.3 < 0.001 1.7 1.4-2.2 < 0.001 Age (year) < 30 7, 085 3.5 Ref Ref ≥ 30 4, 419 9.0 2.8 2.4-3.3 < 0.001 1.2 0.9-1.5 0.143 Marriage Not married 4, 511 4.8 Ref Ref Married 6, 993 6.3 1.3 1.1-1.6 0.001 1.1 0.9-1.3 0.678 Education ≤ High school 5, 405 6.5 Ref Ref > High school 6, 099 5.0 0.7 0.6-0.9 < 0.001 0.9 0.7-1.1 0.319 Resident Permanent residents 9, 445 5.8 Ref Migrants 2, 059 5.1 0.9 0.8-1.1 0.477 Type of hosting institute Community health service center 1, 969 6.5 Ref Ref Hospital 4, 623 5.5 0.8 0.7-1.0 0.095 1.0 0.8-1.3 0.885 Center for disease control and prevention 4, 912 5.6 0.9 0.7-1.1 0.151 1.0 0.8-1.3 0.847 Risk category Casual non-commercial heterosexual behaviors 3, 199 3.1 Ref Ref Commercial heterosexual behaviors 3, 186 4.1 1.3 1.1-1.7 0.041 1.4 1.1-1.6 0.032 Male-male sexual behaviors 1, 057 17.1 6.5 5.0-8.4 < 0.001 3.7 2.7-4.9 < 0.001 Injection drug use 286 52.5 9.2 6.8-11.6 < 0.001 9.9 6.5-15.1 < 0.001 Others 3, 776 2.5 0.8 0.6-1.1 0.164 0.8 0.6-1.1 0.114 Previous HIV testing No 7, 847 4.1 Ref Ref Yes 3, 657 9.2 2.4 2.0-2.8 < 0.001 2.0 1.6-2.4 < 0.001 Syphilis Negative 10, 980 5.6 Ref Ref Positive 205 9.3 1.7 1.1-2.8 0.025 1.2 0.7-2.0 0.585 Unknown 319 7.2 1.3 0.9-2.0 0.215 1.3 0.8-2.0 0.321 Calendar year of initial test 2013 6, 058 5.9 Ref 2014 5, 446 5.5 0.8 0.6-1.1 0.242 Note. *Repeat test was recorded if an individual retested within 12 months since their first recorded test during 2013-2014. Of the 16, 535 testers involved in this study, 252 (1.5%) were tested HIV-positive at their first recorded test including 1 pregnant woman. Of the 16, 283 testers who tested HIV-negative at their first recorded test, 1, 088 (6.7%) had two or more HIV testing records during 2013-2015. In this group, there were 30 HIV diagnoses in 1, 829 person-years of follow-up, with an overall incident HIV diagnosis rate of 1.6 (95% CI: 1.1-2.1) per 100 person-years [4.5 (95% CI: 3.7-5.2) for MSM, 0.8 (95% CI: 0.3-1.3) for IDU, and 0.6 (95% CI: 0.2-1.0) for PWCH]. The rates of incident HIV diagnosis were not significantly different between MSM < 30 and ≥ 30 years of age [5.0 (95% CI: 4.4-5.7) vs. 4.2 (95% CI: 3.8-4.7) per 100 person-years, χ2 = 3.312, P = 0.071]. No pregnant women had incident HIV diagnosis. Incident HIV diagnosis was associated with male gender [adjusted hazard ratio (aHR) = 8.5, 95% CI: 1.9-38.1], attending hospital-based VCT clinics (aHR = 7.8, 95% CI: 1.1-58.3), and male-male sexual behavior (aHR = 8.4, 95% CI: 1.5-46.7) (Table 3).
Table 3. Factors Associated with Incident HIV Diagnosis in Individuals Presenting for
Variable Incidence (PY*) Univariable Analysis Multivariable Analysis HR 95% CI P Value aHR 95% CI P Value Gender Female 0.7 Ref Ref Male 3.6 4.7 1.8-12.3 0.001 8.5 1.9-38.1 0.005 Age (year) < 30 2.5 Ref Ref ≥ 30 1.2 0.5 0.3-0.9 0.011 0.6 0.3-1.3 0.192 Marriage Not married 2.5 Ref Ref Married 1.3 0.5 0.3-0.8 0.006 0.9 0.3-2.5 0.092 Education ≤ High school 0.9 Ref Ref > High school 3.4 3.8 2.0-7.1 < 0.001 1.0 0.5-2.1 0.958 Resident Permanent residents 1.7 Ref Migrants 1.5 0.9 0.5-1.6 0.812 Type of hosting institute Community health service center 0.3 Ref Ref Hospital 2.6 9.1 2.2-37.6 0.006 7.8 1.1-58.3 0.045 Center for disease control and prevention 2.0 6.8 0.9-51.9 0.064 3.7 0.5-29.6 0.206 Risk category Casual non-commercial heterosexual behaviors 0.4 Ref Ref Commercial heterosexual behaviors 0.6 1.5 0.6-4.2 0.183 3.9 0.7-22.9 0.132 Male-male sexual behaviors 4.5 10.2 2.4-42.3 0.001 8.4 1.5-46.7 0.016 Injection drug use 0.8 1.9 0.8-4.5 0.515 1.6 0.6-4.2 0.554 Others 0.5 1.4 0.2-9.8 0.746 1.5 0.2-10.9 0.685 Previous HIV testing No 1.2 Ref Ref vYes 2.0 1.7 0.9-3.5 0.059 1.0 0.5-1.9 0.964 Syphilis diagnoses at baseline Negative 1.5 Ref Positive 0.8 0.5 0.2-1.4 0.209 Unknown 1.7 1.1 0.3-4.2 0.851 Calendar year of initial test 2013 1.4 Ref 2014 2.1 1.5 0.2-11.7 0.702 2015 1.1 0.8 0.1-6.5 0.854 Note. *PY means person-year. Between January 1, 2013 and December 31, 2015, a total of 1, 445 new HIV diagnoses were reported in Wuxi based on CNHCCIS. A total of 72 cases (5.0%) were excluded due to lack of baseline CD4+ T cell count. Of the remaining 1, 373, 272 (19.8%) were diagnosed in VCT clinics (Group Ⅰ) and 1, 101 (80.2%) from other clinical services (Group Ⅱ). As shown in Table 4, there was no significant difference in gender and age between Groups Ⅰ and Ⅱ (P > 0.05 for both), but the proportion of MSM in diagnosed cases was significantly higher at VCT clinics compared with that at other services (76.1% vs. 54.7%, P < 0.001). A higher proportion of earlier HIV diagnosis was detected in Group Ⅰ compared with that in Group Ⅱ (76.7% vs. 68.6%, P = 0.008). A higher proportion of individuals with a high baseline CD4+ T cell count > 500 copies/mm3 was detected in Group Ⅰ compared with that in Group Ⅱ (30.5% vs. 20.5%, P = 0.002). No significant difference was found in the interval between HIV diagnosis and baseline CD4+ T cell count measurement in the two groups (median 27 vs. 29 days, P = 0.851). A higher median baseline CD4+ T cell count was observed in Group Ⅰ compared with that in Group Ⅱ (median 407 vs. 326 copies/mm3, P = 0.003).
Table 4. Characteristics and Baseline CD4+ T Cell Count in HIV-positive Individuals from
Characteristics HIV Diagnosis in VCT Clinics HIV Diagnosis from other Clinical Services P Value n % n % Total 272 100 1, 101 100 Gender Female 42 15.4 131 11.9 0.115 Male 230 84.6 970 88.1 Age (year) < 30 108 39.7 396 36.0 0.252 ≥ 30 164 60.3 705 64.0 Risk category Heterosexual transmission 63 23.2 476 43.2 < 0.001 Male-male sexual transmission 207 76.1 602 54.7 Drug injection 2 0.7 19 1.7 Others 0 0.0 4 0.4 Baseline CD4+ T cell count (copy/mm3) < 200 63 23.2 346 31.4 0.002 200-349 62 22.8 254 23.1 350-499 64 23.5 275 25.0 ≥ 500 83 30.5 226 20.5 Median 407 326 0.003 IQR 222-506 163-469 Days from HIV diagnosis to baseline CD4+ count measurement ≤ 30 168 61.8 652 59.2 0.851 31-90 64 23.5 305 27.7 > 90 40 14.7 144 13.1
doi: 10.3967/bes2018.004
Repeat HIV Testing and Incident Rates among Individuals Attending Voluntary Counseling and Testing Clinics in Wuxi, China: A Retrospective Study
-
Abstract:
Objective We aimed to elucidate the rates of repeat HIV testing and incident HIV diagnosis, and baseline CD4+ T cell count among individuals attending HIV voluntary counseling and testing (VCT) clinics in Wuxi, China. Methods A repeat HIV testing within 12 months was recorded if individuals had their first test with negative results, during 2013-2014 and retested within 12 months. An incident HIV diagnosis was recorded if individuals had their first test with negative results, during 2013-2015 and had a subsequent positive result at any point by the end of 2015. Data on HIV testing and diagnosis among individuals attending 32 VCT clinics from 2013 to 2015 and HIV diagnosis from other clinical services in Wuxi, China, were retrieved. A multivariate logistic regression model was used to analyze factors associated with repeat HIV testing. Cox regression was used to evaluate factors associated with incident HIV diagnosis. Results From 2013 to 2014, 11, 504 individuals tested HIV negative at their first recorded test, with 655 (5.7%) retesting within 12 months. Higher repeat HIV testing within 12 months was associated with male gender[adjusted odds ratio (aOR)=1.7, 95% confidence interval (CI):1.4-2.2], risk behaviors[commercial heterosexual behaviors (aOR=1.4, CI:1.1-1.6), male-male sexual behaviors (aOR=3.7, CI:2.7-4.9)], injection drug use (aOR=9.9, CI:6.5-15.1), and having taken HIV tests previously (aOR=2.0, CI:1.6-2.4). From 2013 to 2015, 1, 088 individuals tested negative on HIV test at their visit and at ≥ 2 subsequent tests; of them 30 had incident HIV diagnosis. The overall rate of incident HIV diagnosis among all VCT individuals was 1.6 (95% CI:1.1-2.1) per 100 person-years. Incident HIV diagnosis was associated with male gender[adjusted hazard ratio (aHR)=8.5, 95% CI:1.9-38.1], attending hospital-based VCT clinics (aHR=7.8, 95% CI:1.1-58.3), and male-male sexual behavior (aHR=8.4, 95% CI:1.5-46.7). Individuals diagnosed at VCT clinics had higher CD4+ T cell count compared with those diagnosed at other clinical services (median 407 vs. 326 copies/mm3, P=0.003). Conclusion VCT individuals in Wuxi, China, had a low repeat HIV testing rate and high HIV incidence. VCT-clinic-based interventions aimed at increasing repeat HIV testing are needed to detect more cases at an -
Key words:
- HIV /
- Voluntary counseling and testing (VCT) /
- China
-
Table 1. Characteristics of Individuals at First Recorded HIV Test at
Characteristics N % No. HIV+ % HIV+ Total 16, 535 100.0 252 1.5 Gender Female 10, 107 61.1 68 0.7 Male 6, 428 38.9 184 2.9 Age (year) < 30 10, 160 61.5 117 1.2 ≥ 30 6, 375 38.5 135 2.1 Marriage Not married 6, 814 41.2 123 1.8 Married 9, 721 58.8 129 1.3 Education ≤ High school 7, 744 46.8 107 1.4 > High school 8, 791 53.2 145 1.6 Residency Permanent residents in Wuxi 12, 943 78.3 198 1.5 Migrants 3, 592 21.7 54 1.5 Type of hosting institute Community health service center 6, 604 39.9 59 0.9 Hospital 3, 084 18.7 74 2.4 Center for disease control and prevention 6, 847 41.4 119 1.7 Risk category Casual non-commercial heterosexual behaviors 3, 237 19.6 15 0.5 Commercial heterosexual behaviors 4, 498 27.2 34 0.8 Male-male sexual behaviors 1, 867 11.3 143 7.7 Injection drug use 282 1.7 10 3.5 Prenatal health check 3, 025 18.3 1 0.03 Premarital health check 1, 056 6.4 2 0.2 Spouse/sexual partner tested positive 428 2.6 8 1.9 Other 2, 142 13.0 39 1.8 Previous HIV testing No 11, 349 68.6 165 1.5 Yes 5, 186 31.4 87 1.7 Syphilis Negative 15, 443 93.4 233 1.5 Positive 388 2.3 7 1.8 Unknown 704 4.3 12 1.7 Calendar year of initial test 2013 6, 058 36.6 83 1.4 2014 5, 446 32.9 81 1.5 2015 5, 031 30.4 88 1.7 Table 2. Factors Associated with Repeat HIV Testing among VCT Individuals in Wuxi,
Variables n Repeat Test* (%) Univariable Analysis Multivariable Analysis OR 95% CI P aOR 95% CI P Gender Female 7, 237 2.7 Ref Ref Male 4, 267 10.8 4.4 3.7-5.3 < 0.001 1.7 1.4-2.2 < 0.001 Age (year) < 30 7, 085 3.5 Ref Ref ≥ 30 4, 419 9.0 2.8 2.4-3.3 < 0.001 1.2 0.9-1.5 0.143 Marriage Not married 4, 511 4.8 Ref Ref Married 6, 993 6.3 1.3 1.1-1.6 0.001 1.1 0.9-1.3 0.678 Education ≤ High school 5, 405 6.5 Ref Ref > High school 6, 099 5.0 0.7 0.6-0.9 < 0.001 0.9 0.7-1.1 0.319 Resident Permanent residents 9, 445 5.8 Ref Migrants 2, 059 5.1 0.9 0.8-1.1 0.477 Type of hosting institute Community health service center 1, 969 6.5 Ref Ref Hospital 4, 623 5.5 0.8 0.7-1.0 0.095 1.0 0.8-1.3 0.885 Center for disease control and prevention 4, 912 5.6 0.9 0.7-1.1 0.151 1.0 0.8-1.3 0.847 Risk category Casual non-commercial heterosexual behaviors 3, 199 3.1 Ref Ref Commercial heterosexual behaviors 3, 186 4.1 1.3 1.1-1.7 0.041 1.4 1.1-1.6 0.032 Male-male sexual behaviors 1, 057 17.1 6.5 5.0-8.4 < 0.001 3.7 2.7-4.9 < 0.001 Injection drug use 286 52.5 9.2 6.8-11.6 < 0.001 9.9 6.5-15.1 < 0.001 Others 3, 776 2.5 0.8 0.6-1.1 0.164 0.8 0.6-1.1 0.114 Previous HIV testing No 7, 847 4.1 Ref Ref Yes 3, 657 9.2 2.4 2.0-2.8 < 0.001 2.0 1.6-2.4 < 0.001 Syphilis Negative 10, 980 5.6 Ref Ref Positive 205 9.3 1.7 1.1-2.8 0.025 1.2 0.7-2.0 0.585 Unknown 319 7.2 1.3 0.9-2.0 0.215 1.3 0.8-2.0 0.321 Calendar year of initial test 2013 6, 058 5.9 Ref 2014 5, 446 5.5 0.8 0.6-1.1 0.242 Note. *Repeat test was recorded if an individual retested within 12 months since their first recorded test during 2013-2014. Table 3. Factors Associated with Incident HIV Diagnosis in Individuals Presenting for
Variable Incidence (PY*) Univariable Analysis Multivariable Analysis HR 95% CI P Value aHR 95% CI P Value Gender Female 0.7 Ref Ref Male 3.6 4.7 1.8-12.3 0.001 8.5 1.9-38.1 0.005 Age (year) < 30 2.5 Ref Ref ≥ 30 1.2 0.5 0.3-0.9 0.011 0.6 0.3-1.3 0.192 Marriage Not married 2.5 Ref Ref Married 1.3 0.5 0.3-0.8 0.006 0.9 0.3-2.5 0.092 Education ≤ High school 0.9 Ref Ref > High school 3.4 3.8 2.0-7.1 < 0.001 1.0 0.5-2.1 0.958 Resident Permanent residents 1.7 Ref Migrants 1.5 0.9 0.5-1.6 0.812 Type of hosting institute Community health service center 0.3 Ref Ref Hospital 2.6 9.1 2.2-37.6 0.006 7.8 1.1-58.3 0.045 Center for disease control and prevention 2.0 6.8 0.9-51.9 0.064 3.7 0.5-29.6 0.206 Risk category Casual non-commercial heterosexual behaviors 0.4 Ref Ref Commercial heterosexual behaviors 0.6 1.5 0.6-4.2 0.183 3.9 0.7-22.9 0.132 Male-male sexual behaviors 4.5 10.2 2.4-42.3 0.001 8.4 1.5-46.7 0.016 Injection drug use 0.8 1.9 0.8-4.5 0.515 1.6 0.6-4.2 0.554 Others 0.5 1.4 0.2-9.8 0.746 1.5 0.2-10.9 0.685 Previous HIV testing No 1.2 Ref Ref vYes 2.0 1.7 0.9-3.5 0.059 1.0 0.5-1.9 0.964 Syphilis diagnoses at baseline Negative 1.5 Ref Positive 0.8 0.5 0.2-1.4 0.209 Unknown 1.7 1.1 0.3-4.2 0.851 Calendar year of initial test 2013 1.4 Ref 2014 2.1 1.5 0.2-11.7 0.702 2015 1.1 0.8 0.1-6.5 0.854 Note. *PY means person-year. Table 4. Characteristics and Baseline CD4+ T Cell Count in HIV-positive Individuals from
Characteristics HIV Diagnosis in VCT Clinics HIV Diagnosis from other Clinical Services P Value n % n % Total 272 100 1, 101 100 Gender Female 42 15.4 131 11.9 0.115 Male 230 84.6 970 88.1 Age (year) < 30 108 39.7 396 36.0 0.252 ≥ 30 164 60.3 705 64.0 Risk category Heterosexual transmission 63 23.2 476 43.2 < 0.001 Male-male sexual transmission 207 76.1 602 54.7 Drug injection 2 0.7 19 1.7 Others 0 0.0 4 0.4 Baseline CD4+ T cell count (copy/mm3) < 200 63 23.2 346 31.4 0.002 200-349 62 22.8 254 23.1 350-499 64 23.5 275 25.0 ≥ 500 83 30.5 226 20.5 Median 407 326 0.003 IQR 222-506 163-469 Days from HIV diagnosis to baseline CD4+ count measurement ≤ 30 168 61.8 652 59.2 0.851 31-90 64 23.5 305 27.7 > 90 40 14.7 144 13.1 -
[1] Minas BC, Giele CM, Laing SC, et al. Early diagnosis of HIV among men who have sex with men in Western Australia:impact of a peer-led sexually transmissible infection testing service. Sex Health, 2015; 12, 360-3. doi: 10.1071/SH14214. [2] Cohen MS, Chen YQ, McCauley M, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med, 2011; 365, 493-505. doi: 10.1056/NEJMoa1105243 [3] Group ⅠSS, Lundgren JD, Babiker AG, et al. Initiation of Antiretroviral Therapy in Early Asymptomatic HIV Infection. N Engl J Med, 2015; 373, 795-807. doi: 10.1056/NEJMoa1506816 [4] Sherr L, Lopman B, Kakowa M, et al. Voluntary counselling and testing:uptake, impact on sexual behaviour, and HIV incidence in a rural Zimbabwean cohort. AIDS, 2007; 21, 851-60. doi: 10.1097/QAD.0b013e32805e8711 [5] Leon N, Mathews C, Lewin S, et al. A comparison of linkage to HIV care after provider-initiated HIV testing and counselling (PITC) versus voluntary HIV counselling and testing (VCT) for patients with sexually transmitted infections in Cape Town, South Africa. BMC Health Serv Res, 2014; 14, 350. doi: 10.1186/1472-6963-14-350 [6] Zou H, Wu Z, Yu J, et al. Internet-facilitated, voluntary counseling and testing (VCT) clinic-based HIV testing among men who have sex with men in China. PLoS One, 2013; 8, e51919. doi: 10.1371/journal.pone.0051919 [7] Ministry of Health, People's Republic of China. 2012 China AIDS response progress report. Beijing: Ministry of Health, 2012. http://www.unaids.org/sites/default/files/documents/CHN_narrative_report_2014.pdf. [2016-04-4] [8] Li Z. Situation of implementing voluntary counselling and testing (VCT) and associated factors in China. Applied Preventive Medicine, 2008; 14, 7-9. (In Chinese) http://www.hivpolicy.org/Library/HPP000567.pdf [9] Huang MB, Ye L, Liang BY, et al. Characterizing the HIV/AIDS Epidemic in the United States and China. Int J Environ Res Public Health, 2015; 13, ijerph13010030. https://www.popline.org/node/653176 [10] Cai R, Cai W, Zhao J, et al. Determinants of recent HIV testing among male sex workers and other men who have sex with men in Shenzhen, China:a cross-sectional study. Sex Health, 2015; 12, 565-7. doi: 10.1071/SH15109. [11] Xu J, Brown K, Ding G, et al. Factors associated with HIV testing history and HIV-test result follow-up among female sex workers in two cities in Yunnan, China. Sex Transm Dis, 2011; 38, 89-95. doi: 10.1097/OLQ.0b013e3181f0bc5e [12] Lau JT, Tsui HY, Gu J, et al. Sexual mixing and condom use with different types of sex partners among non-institutionalized sexually active female injecting drug users in Sichuan, China. AIDS Behav, 2011; 15, 86-94. doi: 10.1007/s10461-010-9754-4 [13] NCAIDS, NCSTD, China CDC. Updates on AIDS/STD epidemic in China and main response in control and prevention in December, 2015. Chinese Journal of AIDS and STD, 2016; 22, 1. (In Chinese) [14] World Health Organization. Guideline on when to start antiretroviral therapy and on pre-exposure prophylaxis for HIV, September 2015. http://www.who.int/hiv/pub/guidelines/earlyrelease-arv/en/. [2016-06-1] [15] National Health and Family Planning Commission of China. Notice on adjusting the standard of free antiretroviral therapy for HIV/AIDS. http://www.nhfpc.gov.cn/yzygj/s3593/201606/0b0fa78e10dc41328e842b1bf9cd433e.shtml. [2017-02-20] [16] Ahmed S, Kim MH, Sugandhi N, et al. Beyond early infant diagnosis:case finding strategies for identification of HIV-infected infants and children. AIDS, 2013; 27, S235-45. doi: 10.1097/QAD.0000000000000099 [17] Xu JJ, Tang WM, Zou HC, et al. High HIV incidence epidemic among men who have sex with men in china:results from a multi-site cross-sectional study. Infect Dis Poverty, 2016; 5, 82. doi: 10.1186/s40249-016-0178-x [18] Bai X, Xu J, Yang J, et al. HIV prevalence and high-risk sexual behaviours among MSM repeat and first-time testers in China:implications for HIV prevention. J Int AIDS Soc, 2014; 17, 18848. https://www.researchgate.net/profile/Jie_Xu50/publication/263709527_HIV_prevalence_and_high-risk_sexual_behaviours_among_MSM_repeat_and_first-time_testers_in_China_Implications_for_HIV_prevention/links/546460710cf2837efdb355c7.pdf?origin=publication_detail [19] Siegler AJ, Sullivan PS, de Voux A, et al. Exploring repeat HIV testing among men who have sex with men in Cape Town and Port Elizabeth, South Africa. AIDS Care, 2015; 27, 229-34. doi: 10.1080/09540121.2014.947914 [20] Matkovic Puljic V, Kosanovic Licina ML, Kavic M, et al. Repeat HIV testing at voluntary testing and counseling centers in Croatia:successful HIV prevention or failure to modify risk behaviors? PLoS One, 2014; 9, e93734. doi: 10.1371/journal.pone.0093734 [21] Dubois-Arber F, Meystre-Agustoni G, Andre J, et al. Sexual behaviour of men that consulted in medical outpatient clinics in Western Switzerland from 2005-2006:risk levels unknown to doctors? BMC Public Health, 2010; 10, 528. doi: 10.1186/1471-2458-10-528 [22] Templeton DJ, Read P, Varma R, et al. Australian sexually transmissible infection and HIV testing guidelines for asymptomatic men who have sex with men 2014:a review of the evidence. Sex Health, 2014; 11, 217-29. doi: 10.1071/SH14003 [23] US Center for Disease Control and Prevention. HIV testing. http://www.cdc.gov/hiv/testing/[2016-02-17] [24] Gokengin D, Geretti AM, Begovac J, et al. 2014 European Guideline on HIV testing. Int J STD AIDS, 2014; 25, 695-704. doi: 10.1177/0956462414531244 [25] Zou H, Fairley CK, Guy R, et al. The efficacy of clinic-based interventions aimed at increasing screening for bacterial sexually transmitted infections among men who have sex with men:a systematic review. Sex Transm Dis, 2012; 39, 382-7. doi: 10.1097/OLQ.0b013e318248e3ff [26] Matovu JK, Gray RH, Kiwanuka N, et al. Repeat voluntary HIV counseling and testing (VCT), sexual risk behavior and HIV incidence in Rakai, Uganda. AIDS Behav, 2007; 11, 71-8. doi: 10.1007/s10461-006-9170-y [27] Matambo R, Dauya E, Mutswanga J, et al. Voluntary counseling and testing by nurse counselors:what is the role of routine repeated testing after a negative result? Clin Infect Dis, 2006; 42, 569-71. doi: 10.1086/499954 [28] Tang H, Mao Y, Shi CX, et al. Baseline CD4 cell counts of newly diagnosed HIV cases in China:2006-2012. PLoS One, 2014; 9, e96098. doi: 10.1371/journal.pone.0096098 [29] Dai SY, Liu JJ, Fan YG, et al. Prevalence and factors associated with late HIV diagnosis. J Med Virol, 2015; 87, 970-7. doi: 10.1002/jmv.v87.6 [30] Govender S, Otwombe K, Essien T, et al. CD4 counts and viral loads of newly diagnosed HIV-infected individuals:implications for treatment as prevention. PLoS One, 2014; 9, e90754. doi: 10.1371/journal.pone.0090754 [31] Yang M, Lang Z. Analysis of CD4+ T lymphocytes of new found HIV infected person in Chongqing northeast region. Chinese Primary Health Care, 2015; 29, 86-8. (In Chinese) https://www.researchgate.net/journal/2160-8814_World_Journal_of_AIDS [32] Chu C, Xu Y, Li J, et al. Analysis on first detection of CD4+ T lymphocytes for new HIV-infected persons in Kunming in 2011. Practical Preventive Medicine, 2013; 20, 705-8. (In Chinese) https://stacks.cdc.gov/view/cdc/10954/cdc_10954_DS13.txt [33] Kirby Institute, UNSW. HIV, viral hepatitis and sexually transmissible infections in Australia annual surveillance report 2015. https://kirby.unsw.edu.au/report/annual-surveillance-report-hiv-viral-hepatitis-stis-2015. [2017-08-17] [34] Blair JM, Fagan JL, Frazier EL, et al. Behavioral and clinical characteristics of persons receiving medical care for HIV infection-Medical Monitoring Project, United States. 2009. MMWR Suppl, 2014; 63, 1-22. [35] Wang QQ, Chen XS, Yin YP, et al. HIV prevalence, incidence and risk behaviours among men who have sex with men in Yangzhou and Guangzhou, China:a cohort study. J Int AIDS Soc, 2014; 17, 18849. https://www.researchgate.net/publication/264629094_HIV_prevalence_incidence_and_risk_behaviours_among_men_who_have_sex_with_men_in_Yangzhou_and_Guangzhou_China_A_cohort_study [36] Tang W, Babu GR, Li J, et al. The difference between HIV and syphilis prevalence and incidence cases:results from a cohort study in Nanjing, China, 2008-2010. Int J STD AIDS, 2015; 26, 648-55. doi: 10.1177/0956462414550170 [37] Wang QQ, Chen XS, Yin YP, et al. HIV/STD pattern and its associated risk factors among male STD clinic attendees in China:a foci for HIV intervention. BMC Public Health, 2011; 11, 955. doi: 10.1186/1471-2458-11-955