The Center for Disease Control and Prevention recommends
that high-risk groups, like sexually active men who have sex with men (MSM),
receive HIV testing and counseling at least annually. The objective of this
study was to investigate the relationship between voluntary repeat HIV testing
and sexual risk behavior in MSM receiving rapid serologic and nucleic acid
amplification testing.
We performed a cohort study to analyze reported risk
behavior among MSM receiving the “Early Test”, a community-based, confidential
acute and early HIV infection screening program in San Diego, California,
between April 2008 and July 2014. The study included 8,935 MSM receiving 17,333
“Early Tests”. A previously published risk behavior score for HIV acquisition
in MSM (i.e. Menza score) was chosen as an outcome to assess associations between
risk behaviors and number of repeated tests.
At baseline, repeat-testers (n = 3,202) reported more male
partners and more condomless receptive anal intercourse (CRAI) when compared to
single-testers (n = 5,405, all P <0.001).
In 2,457 repeat testers there was a strong association observed between
repeated HIV tests obtained and increased risk behavior, with number of male
partners, CRAI with high risk persons, non-injection stimulant drug use, and
sexually transmitted infections all increasing between the first and last test.
There was also a linear increase of risk (i.e. high Menza scores) with number
of tests up to the 17th test. In the multivariable mixed effects model, more
HIV tests (OR = 1.18 for each doubling of the number of tests, P <0.001) and younger age (OR = 0.95
per 5-year increase, P = 0.006) had significant associations
with high Menza scores.
This study found that the highest risk individuals for
acquiring HIV (e.g. candidates for antiretroviral pre-exposure prophylaxis) can
be identified by their testing patterns. Future studies should delineate
causation versus association to improve prevention messages delivered to repeat
testers during HIV testing and counseling sessions.
Below: Percentage of high (i.e. ≥5 Menza-score points) HIV behavioral risk scores as modified from [23], by number of HIV tests in repeat testers. The bubble size reflects the denominator used to calculate the percentage of high scores. Linear Reg stands for linear regression, assuming a linear relationship between the y-axis (high risk score) and the x-axis (number of tests). Loess stands for local regression, a smoothing technique that allows one to see a pattern without assuming a particular distribution
Table 1
Comparison demographics and risk behavior at baseline. Reported by individuals with a single HIV test during the study period versus those with repeated HIV tests (those with two or more tests, and the subpopulation with five or more tests)
Risk factor/risk behavior (within 12 months prior to test) and demographics | Single testers a | Repeat testers (2 or more tests) a | P value b | Repeat tester (5 or more tests) a | P value b |
---|---|---|---|---|---|
N | 5402 | 3202 | 814 | ||
Number of male partners (median, IQR) | 5 (3–10) | 6 (3–12) | <0.001 | 6 (4–14) | <0.001 |
10 or more male partners | 1624/5397 (30.1 %) | 1120/3197 (35.0 %) | <0.001 | 319 (39.2 %) | <0.001 |
Intercourse with females also | 594/5389 (11.0 %) | 277/3192 (8.7 %) | <0.001 | 64/813 (7.9 %) | 0.007 |
CIAI with male | 3188/5347 (59.6 %) | 1974/3170 (62.3 %) | 0.016 | 491/804 (61.1 %) | n.s. |
CRAI | 2611/5343 (48.9 %) | 1664/3167 (52.5 %) | 0.001 | 434/802 (54.1 %) | 0.003 |
CRAI and 5 or more male partners | 1544/5342 (28.9 %) | 1102/3165 (34.8 %) | <0.001 | 306/802 (38.2 %) | <0.001 |
CRAI and 10 or more male partners | 892/5342 (16.7 %) | 632/3165 (20.0 %) | <0.001 | 181/802 (22.6 %) | <0.001 |
CRAI with HIV positive | 214/5097 (4.2 %) | 121/2947 (4.1 %) | n.s. | 19/725 (2.6 %) | 0.043 |
CRAI with PWID | 56/5281 (1.1 %) | 29/3129 (0.9 %) | n.s. | 4/790 (0.5 %) | n.s. |
CRAI with sex worker | 21/5147 (0.4 %) | 9/3052 (0.3 %) | n.s. | 1/764 (0.1 %) | n.s. |
Worked as sex worker | 84/3799 (2.2 %) | 45/2004 (2.3 %) | n.s. | 8/424 (1.9 %) | n.s. |
Syphilis c | 101 (1.9 %) | 59 (1.8 %) | n.s. | 23 (2.8 %) | n.s. |
Gonorrhea c | 274 (5.1 %) | 193 (6.0 %) | n.s. | 47 (5.8 %) | n.s. |
Chlamydia c | 214 (4.0 %) | 129 (4.0 %) | n.s. | 48 (5.9 %) | 0.01 |
Any STI c | 596 (11.0 %) | 402 (12.6 %) | 0.033 | 126 (15.5 %) | <0.001 |
Methamphetamine, not injected | 363 (6.7 %) | 189 (5.9 %) | n.s. | 44 (5.4 %) | n.s. |
Non-injection stimulant drug use (i.e. methamphetamine, cocaine, poppers, GHB, ketamine, XTC) | 1316 (24.4 %) | 765 (23.9 %) | n.s. | 176 (21.6 %) | n.s. |
IDU | 77 (1.4 %) | 37 (1.2 %) | n.s. | 5 (0.6 %) | n.s. |
IDU with shared needles | 35/5378 (0.7 %) | 7/3180 (0.2 %) | 0.006 | 0 | 0.021 |
Demographic data | |||||
Age (years; median, IQR) | 33 (26–43) | 32 (26–42) | 0.011 | 32 (26–41) | n.s. |
Male | 5402 (100 %) | 3202 (100 %) | n.s. | 814 (100 %) | |
Hispanic origin | 1434/5249 (27.3 %) | 850/3105 (27.4 %) | n.s. | 203/785 (25.9 %) | n.s. |
Race | – | – | <0.001 | – | <0.001 |
Caucasian | 3513/5066 (69.3 %) | 2112/3021 (69.9 %) | n.s. | 547/783 (69.9 %) | n.s. |
African-American | 317/5066 (6.3 %) | 143/3021 (4.7 %) | 0.005 | 39/783 (5.0 %) | n.s. |
Asian | 398/5066 (7.9 %) | 195/3021 (6.5 %) | 0.022 | 52/783 (6.6 %) | n.s. |
Pacific Islander | 142/5066 (2.8 %) | 53/3021 (1.8 %) | 0.004 | 11/783 (1.4 %) | 0.030 |
Native American | 37/5066 (0.7 %) | 15/3021 (0.5 %) | n.s. | 1/783 (0.1 %) | n.s. |
Other | 659/5066 (13.0 %) | 503/3021 (16.7 %) | <0.001 | 133/783 (17.0 %) | 0.002 |
CIAI, Condomless insertive anal intercourse; CRAI, Condomless receptive anal intercourse; GHB, Gamma hydroxybutyrate; IDU, Injection drug use; IQR, Inter-quartile range; MSM, Men who have sex with men; n.s., Not significant; PWID, Person who injects drugs; STI, Sexually transmitted infection; XTC, Ecstasy
a Data available from all individuals if denominator not depicted
b Calculated using χ 2 or Mann–Whitney U-test
c All self-reported diagnosis within the last 12 months
Full article
at: http://goo.gl/W41EKW
By: Martin Hoenigl,
Christy M. Anderson, Nella Green, Sanjay R. Mehta, Davey M. Smith, and Susan J. Little
AntiViral Research Center, Division of Infectious Diseases, Department of Medicine, University of California, San Diego, 200 West Arbor Drive #8208, San Diego, CA 92103 USA
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