| Literature DB >> 35732657 |
Myeongsu Yoo1,2, Jin-Sook Wang3, Su-Jin Park3, Jeong-Ok Cha4,5, Yoonhee Jung4,6, Yoon-Seok Chung3,7, Myung Guk Han3, Byeong-Sun Choi8,9, Sung-Soon Kim10,11, Mee-Kyung Kee12,13.
Abstract
Most HIV-positive individuals diagnosed in Korea are infected through sexual contact, with the time of HIV infection therefore often being unknown. The aim of this study was to investigate the characteristics of diagnosed patients near the time of HIV seroconversion to establish useful HIV intervention strategies. Cross-sectional study. Newly diagnosed HIV cases based on the national HIV surveillance system in South Korea, 2008-2015. To distinguish recent from long-standing HIV infection among 5898 nationwide HIV-positive specimens, limiting antigen avidity assays (Sedia HIV-1 LAg-Avidity EIA, cut-off = 1.5) were performed. Data on CD4+ T cell count at HIV diagnosis and death from AIDS within one year after first HIV diagnosis were used to distinguish recent HIV infections. Acute HIV infection is characterized by detectable HIV RNA or HIV p24 antigen levels, along with a negative or indeterminate antibody western blot result, but with the subject subsequently testing positive after a predetermined period. We analyzed the characteristics of recent and acute HIV infections by sex, age, nationality, HIV testing site, region, and reason for HIV testing. Recent and acute HIV infections were described as the proportion of recent and acute HIV infections among newly-diagnosed cases in a given year. Recent and acute HIV infections over the 8-year study period were 20.5% (1210/5898) and 9.5% (562/5898), respectively. Both infections were generally higher in the following groups: males, younger age, Koreans, individuals who were tested due to disease, residents of smaller city or rural area, and individuals diagnosed in recent calendar years. Acute infections were significantly higher among individuals tested in hospitals and due to suspected HIV infection. The recent and acute HIV infection in younger age groups (< 30 years) has been increasing in a given year. There was an increase in the proportion of young individuals with recent HIV infection, and we identified risk groups more at risk of HIV infection recently in Korea. Therefore, our results could prove useful for the development and assessment of national HIV prevention strategies in Korea and provide valuable data for further HIV research.Entities:
Mesh:
Year: 2022 PMID: 35732657 PMCID: PMC9217788 DOI: 10.1038/s41598-022-13953-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Figure 1Flowchart for classification as recent and acute HIV infection among HIV-positive specimens from diagnosed infection cases in Korea between 2008 and 2015. Asterisk: 562 persons were identified prior to confirm HIV seroconversion. RITA resent infection testing algorithm.
The characteristics of study population for the recent HIV infection study in Korea from 2008 to 2015.
| Category | Study population |
|---|---|
| N (%) | |
| Total | 5898 (74.2)* |
| Male | 5402 (91.6) |
| Female | 496 (8.4) |
| < 20 | 177 (3.0) |
| 20–29 | 1482 (25.1) |
| 30–39 | 1485 (25.2) |
| 40–49 | 1355 (23.0) |
| 50–59 | 926 (15.7) |
| 60 ≤ | 473 (8.0) |
| Koreans | 5412 (91.8) |
| Non-Koreans | 486 (8.2) |
| Hospitals | 4644 (78.7) |
| Public health centers | 1139 (19.3) |
| Blood center | 115 (2.0) |
| Metro | 4180 (70.9) |
| Small | 1718 (29.1) |
| Health check-up | 700 (11.9) |
| Due to disease | 1701 (28.8) |
| Suspected | 838 (14.2) |
| Preoperative test | 777 (13.2) |
| Others | 1882 (31.9) |
| 2008 | 391 (6.6) |
| 2009 | 502 (8.5) |
| 2010 | 648 (11.0) |
| 2011 | 715 (12.1) |
| 2012 | 761 (12.9) |
| 2013 | 891 (15.1) |
| 2014 | 993 (16.9) |
| 2015 | 997 (16.9) |
*Proportion of specimens for recent HIV testing among 7945 newly HIV diagnosed individuals in Korea from 2008 to 2015.
Metro metropolis, small smaller city or rural area, others prenatal check-up, blood donation, partner of HIV positive, sexual transmitted infection risk group, etc. Age median of specimens for study: 38 (28–49).
The logistic regression analysis of characteristics of the recent HIV infection including acute HIV infection in Korea from 2008 to 2015.
| Category | Recent HIV infection | Acute HIV infection | ||||
|---|---|---|---|---|---|---|
| N (%)* | Single logistic regression, OR (95% C.I.) | Multiple logistic regression, AOR (95% C.I.) | N (%)§ | Single logistic regression, OR (95% C.I.) | Multiple logistic regression, AOR (95% C.I.) | |
| Total | 1210 (20.5) | 562 (9.5) | ||||
| Male | 1140 (21.1) | 1.63 (1.25–2.11) | 1.35 (1.03–1.78) | 539 (10.0) | 2.28 (1.49–3.50) | 1.67 (1.07–2.62) |
| Female | 70 (14.1) | 1 | 1 | 23 ( 4.6) | 1 | 1 |
| < 20 | 62 (35.0) | 4.18 (2.75–6.36) | 4.48 (2.91–6.91) | 16 ( 9.0) | 1.94 (1.00–3.77) | 2.25 (1.13–4.50) |
| 20–29 | 503 (33.9) | 3.99 (2.94–5.40) | 4.13 (3.02–5.64) | 234 (15.8) | 3.67 (2.36–5.71) | 4.45 (2.82–7.03) |
| 30–39 | 279 (18.8) | 1.80 (1.31–2.45) | 1.82 (1.32–2.49) | 142 ( 9.6) | 2.07 (1.32–3.26) | 2.12 (1.33–3.38) |
| 40–49 | 192 (14.2) | 1.28 (0.93–1.77) | 1.22 (0.88–1.69) | 89 ( 6.6) | 1.38 (0.86–2.20) | 1.26 (0.78–2.03) |
| 50–59 | 120 (13.0) | 1.16 (0.82–1.63) | 1.11 (0.79–1.57) | 58 ( 6.3) | 1.31 (0.80–2.15) | 1.17 (0.70–1.94) |
| 60 ≤ | 54 (11.4) | 1 | 1 | 23 ( 4.9) | 1 | 1 |
| Koreans | 1,144 (21.1) | 1.71 (1.31–2.23) | 1.56 (1.17–2.08) | 552 (10.2) | 5.41 (2.87–10.17) | 3.66 (1.89–7.06) |
| Non-Koreans | 66 (13.6) | 1 | 1 | 10 ( 2.1) | 1 | 1 |
| Hospitals | 918 (19.8) | 1 | 1 | 485 (10.4) | 1 | 1 |
| PHCs | 259 (22.7) | 1.20 (1.02–1.38) | 1.02 (0.85–1.24) | 75 ( 6.6) | 0.60 (0.47–0.78) | 0.50 (0.37–0.68) |
| Blood center | 33 (28.7) | 1.64 (1.08–2.46) | 1.00 (0.65–1.54) | 2 ( 1.7) | 0.15 (0.04–0.62) | 0.16 (0.04–0.66) |
| Metro | 770 (18.4) | 1 | 1 | 300 (7.2) | 1 | 1 |
| Small | 440 (25.6) | 1.40 (1.22–1.60) | 1.61 (1.40–1.85) | 262 (15.3) | 1.96 (1.64–2.34) | 2.45 (2.04–2.95) |
| Health check-up | 139 (19.9) | 1 | 1 | 48 (6.9) | 1 | 1 |
| Due to disease | 435 (25.6) | 1.39 (1.12–1.72) | 1.79 (1.50–2.14) | 299 (17.6) | 2.90 (2.11–3.98) | 2.89 (2.06–4.04) |
| Suspected | 199 (23.7) | 1.26 (0.98–1.65) | 1.24 (0.98–1.56) | 86 (10.3) | 1.55 (1.08–2.25) | 1.40 (1.13–2.56) |
| Preoperative test | 134 (17.2) | 0.84 (0.65–1.09) | 0.96 (0.73–1.27) | 68 (8.8) | 1.30 (0.89–1.94) | 1.19 (0.80–1.78) |
| Others | 303 (16.1) | 0.78 (0.62–0.97) | 0.97 (0.78–1.23) | 61 (3.2) | 0.46 (0.31–0.67) | 0.56 (0.38–0.84) |
*Proportion of recent HIV infection among specimen for recent HIV testing.
§Proportion of acute HIV infection among specimen for recent HIV testing.
PHCs public health centers, metro metropolis, small smaller city or rural area, others prenatal check-up, blood donation, partner of HIV positive, sexual transmitted infection risk group, etc., OR odds ratio, AOR adjusted (sex, age, nationality, testing site, region, reason for testing) odds ratio.
Age median (IQR, Q1–Q3) of individuals with recent HIV infection: 31 (24–43), age median of individuals with acute HIV infection: 32 (25–42).
Figure 2Comparison of recent and acute HIV infection rates by gender, nationality, age group, reason for HIV testing. (a) Recent and acute HIV infection rate. (b) Recent and acute HIV infection rate by gender. (c) Recent and acute HIV infection rate by nationality. (d) Recent and acute HIV infection rate by age group. (e) Recent and acute HIV infection rate by reason for testing. R: recent infection, A: acute infection.
Figure 3Comparison of recent and acute HIV infection rates by gender, reason for HIV testing under 30 years of age. (a) Recent HIV infection rate under 30 age group by gender. (b) Acute HIV infection rate under 30 age group by gender. (c) Recent HIV infection rate under 30 age group by reason for HIV testing. (d) Acute HIV infection rate under 30 age group by reason for HIV testing.