Grindr Users Take More Risks, but Are More Open to Human Immunodeficiency Virus (HIV) Pre-exposure Prophylaxis: Could This Dating App Provide a Platform for HIV Prevention Outreach?

BackgroundTechnology has changed the way that men who have sex with men (MSM) seek sex. More than 60% of MSM in the United States use the internet and/or smartphone-based geospatial networking apps to find sex partners. We correlated use of the most popular app (Grindr) with sexual risk and prevention behavior among MSM.MethodsA nested cohort study was conducted between September 2018 and June 2019 among MSM receiving community-based human immunodeficiency virus (HIV) and sexually transmitted infection (STI) screening in central San Diego. During the testing encounter, participants were surveyed for demographics, substance use, risk behavior (previous 3 months), HIV pre-exposure prophylaxis (PrEP) use, and Grindr usage. Participants who tested negative for HIV and who were not on PrEP were offered immediate PrEP.ResultsThe study included 1256 MSM, 1090 of whom (86.8%) were not taking PrEP. Overall, 580 of 1256 (46%) participants indicated that they used Grindr in the previous 7 days. Grindr users reported significantly higher risk behavior (greater number of male partners and condomless sex) and were more likely to test positive for chlamydia or gonorrhea (8.6% vs 4.7% of nonusers; P = .005). Grindr users were also more likely to be on PrEP (18.7% vs 8.7% of nonusers; P < .001) and had fewer newly diagnosed HIV infections (9 vs 26 among nonusers; P = .014). Grindr users were also nearly twice as likely as nonusers to initiate PrEP (24.6% vs 14%; P < .001).ConclusionsGiven the higher risk behavior and greater acceptance of PrEP among MSM who used Grindr, Grindr may provide a useful platform to promote HIV and STI testing and increase PrEP uptake

Cost-effectiveness and budgetary impact of HCV treatment with direct-acting antivirals in India including the risk of reinfection

BackgroundHCV direct-acting antivirals (DAAs) are produced in India at low cost. However, concerns surrounding reinfection and budgetary impact limit treatment scale-up in India. We evaluate the cost-effectiveness and budgetary impact of HCV treatment in India, including reinfection.MethodsA closed cohort Markov model of HCV disease progression, treatment, and reinfection was parameterized. We compared treatment by fibrosis stage (F2-F4 or F0-F4) to no treatment from a health care payer perspective. Costs (2017 USD$, based on India-specific data) and health utilities (in quality-adjusted life years, QALYs) were attached to each health state. We assumed DAAs with 90$900/treatment and 1%/year reinfection, varied in the sensitivity analysis from 0.1-15%. We deemed the intervention cost-effective if the incremental cost-effectiveness ratio (ICER) fell below India's per capita GDP ($1,709). We assessed the budgetary impact of treating all diagnosed individuals.ResultsHCV treatment for diagnosed F2-F4 individuals was cost-saving (net costs -$2,881 and net QALYs 3.18/person treated; negative ICER) compared to no treatment. HCV treatment remained cost-saving with reinfection rates of 15%/year. Treating all diagnosed individuals was likely cost-effective compared to delay until F2 (mean ICER $1,586/QALY gained, 67$1,709 threshold) with 1%/year reinfection. For all scenarios, annual retesting for reinfection was more cost-effective than the current policy (one-time retest). Treating all diagnosed individuals and reinfections results in net costs of $445-1,334 million over 5 years (ConclusionsHCV treatment was highly cost-effective in India, despite reinfection. Annual retesting for reinfection was cost-effective, supporting a policy change towards more frequent retesting. A comprehensive HCV treatment scale-up plan is warranted in India

Recent HIV Infection among men who have sex with men and transgender women in Tijuana

OBJECTIVE: To characterize recent HIV infections among newly diagnosed men who have sex with men and transgender women in Tijuana. METHODS: Limiting Antigen (LAg)-Avidity testing was performed to detect recent HIV infection within a cohort of newly-diagnosed men who have sex with men and transgender women in Tijuana. Logistic regression was used to determine characteristics associated with recent infection. A partial transmission network was inferred using HIV-1 pol sequences. Tamura-Nei 93 genetic distances were measured between all pairs of sequences, and the network was constructed by inferring putative transmission links (genetic distances ≤ 1.5%). We assessed whether recent infection was associated with clustering within the inferred network. RESULTS: Recent infection was detected in 11% (22/194) of newly-diagnosed participants. Out of the participants with sequence data, 60% (9/15) with recent infection clustered compared with 31% (43/139) with chronic infection. Two recent infections belonged to the same cluster. In adjusted analyses, recent infection was associated with years of residence in Tijuana (OR = 1.5; 95%CI 1.01–1.09), cocaine use (past month) (OR = 8.50; 95%CI 1.99–28.17), and ever experiencing sexual abuse (OR = 2.85; 95%CI 1.03–7.85). DISCUSSION: A total of 11% of men newly diagnosed with HIV who have sex with men and transgender women in Tijuana were recently infected. The general lack of clustering between participants with recent infection suggests continued onward HIV transmission rather than an outbreak within a particular cluster. DESCRIPTORS: HIV Infections, epidemiology. Sexual and Gender Minorities. Transgender Persons. Disease Transmission, Infectious

Association between where men who have sex with men (MSM) meet sexual partners and chlamydia/gonorrhoea infection before and during the COVID-19 pandemic in San Diego, California

BackgroundMeeting sex partners online is associated with increased risk of acquiring sexually transmitted infections. We examined whether different venues where men who have sex with men (MSM) meet sex partners was associated with prevalent Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) infection, and whether prevalence increased during (vs before) the COVID-19 pandemic.MethodsWe conducted a cross-sectional analysis of data from San Diego's 'Good To Go' sexual health clinic from two enrolment periods: (1) March-September 2019 (pre-COVID-19) and (2) March-September 2021 (during COVID-19). Participants completed self-administered intake assessments. This analysis included males aged ≥18 years self-reporting sex with males within 3 months before enrolment. Participants were categorised as (1) meeting new sex partners in-person only (eg, bars, clubs), (2) meeting new sex partners online (eg, applications, websites) or (3) having sex only with existing partners. We used multivariable logistic regression, adjusting for year, age, race, ethnicity, number of sex partners, pre-exposure prophylaxis use and drug use to examine whether venue or enrolment period were associated with CT/NG infection (either vs none).ResultsAmong 2546 participants, mean age was 35.5 (range: 18-79) years, 27.9% were non-white and 37.0% were Hispanic. Overall, CT/NG prevalence was 14.8% and was higher during COVID-19 vs pre-COVID-19 (17.0% vs 13.3%). Participants met sex partners online (56.9%), in-person (16.9%) or only had existing partners (26.2%) in the past 3 months. Compared with having only existing sex partners, meeting partners online was associated with higher CT/NG prevalence (adjusted OR (aOR) 2.32; 95% CI 1.51 to 3.65), while meeting partners in-person was not associated with CT/NG prevalence (aOR 1.59; 95% CI 0.87 to 2.89). Enrolment during COVID-19 was associated with higher CT/NG prevalence compared with pre-COVID-19 (aOR 1.42; 95% CI 1.13 to 1.79).ConclusionsCT/NG prevalence appeared to increase among MSM during COVID-19, and meeting sex partners online was associated with higher prevalence

Interplay between geography and HIV transmission clusters in Los Angeles County

BackgroundClusters of HIV diagnoses in time and space and clusters of genetically linked cases can both serve as alerts for directing prevention and treatment activities. We assessed the interplay between geography and transmission across the Los Angeles County (LAC) HIV genetic transmission network.MethodsDeidentified surveillance data reported for 8186 people with HIV residing in LAC from 2010 through 2016 were used to construct a transmission network using HIV-TRACE. We explored geographic assortativity, the tendency for people to link within the same geographic region; concordant time-space pairs, the proportion of genetically linked pairs from the same geographic region and diagnosis year; and Jaccard coefficient, the overlap between geographical and genetic clusters.ResultsGeography was assortative in the genetic transmission network but less so than either race/ethnicity or transmission risk. Only 18% of individuals were diagnosed in the same year and location as a genetically linked partner. Jaccard analysis revealed that cis-men and younger age at diagnosis had more overlap between genetic clusters and geography; the inverse association was observed for trans-women and Blacks/African Americans.ConclusionsWithin an urban setting with endemic HIV, genetic clustering may serve as a better indicator than time-space clustering to understand HIV transmission patterns and guide public health action

Cost-effectiveness and budgetary impact of HCV treatment with direct-acting antivirals in India including the risk of reinfection.

BACKGROUND: HCV direct-acting antivirals (DAAs) are produced in India at low cost. However, concerns surrounding reinfection and budgetary impact limit treatment scale-up in India. We evaluate the cost-effectiveness and budgetary impact of HCV treatment in India, including reinfection. METHODS: A closed cohort Markov model of HCV disease progression, treatment, and reinfection was parameterized. We compared treatment by fibrosis stage (F2-F4 or F0-F4) to no treatment from a health care payer perspective. Costs (2017 USD$, based on India-specific data) and health utilities (in quality-adjusted life years, QALYs) were attached to each health state. We assumed DAAs with 90$900/treatment and 1%/year reinfection, varied in the sensitivity analysis from 0.1-15%. We deemed the intervention cost-effective if the incremental cost-effectiveness ratio (ICER) fell below Indias per capita GDP ($1,709). We assessed the budgetary impact of treating all diagnosed individuals. RESULTS: HCV treatment for diagnosed F2-F4 individuals was cost-saving (net costs -$2,881 and net QALYs 3.18/person treated; negative ICER) compared to no treatment. HCV treatment remained cost-saving with reinfection rates of 15%/year. Treating all diagnosed individuals was likely cost-effective compared to delay until F2 (mean ICER $1,586/QALY gained, 67$1,709 threshold) with 1%/year reinfection. For all scenarios, annual retesting for reinfection was more cost-effective than the current policy (one-time retest). Treating all diagnosed individuals and reinfections results in net costs of $445-1,334 million over 5 years (<0.25% of total health care expenditure over 5 years), and cost-savings within 14 years. CONCLUSIONS: HCV treatment was highly cost-effective in India, despite reinfection. Annual retesting for reinfection was cost-effective, supporting a policy change towards more frequent retesting. A comprehensive HCV treatment scale-up plan is warranted in India

1961. Grindr™ on Screen Activity on iPhones Correlates with HIV Risk and Substance Use in Men Who Have Sex with Men, San Diego

Abstract Background Technology has changed the way men-who-have-sex-with-men (MSM) seek sex; ≥60% of MSM in the United States use the internet to find sex partners, primarily via Grindr™ which is the most used dating app among MSM. Studies to date have mostly evaluated Grindr™ use as a dichotomous variable and found inconsistent results regarding associations with increased HIV risk behavior. Importantly, Grindr™ “on-screen” activity is monitored by phones and can provide an objective measure of app usage. Here we aimed to assess Grindr™ “on-screen” activity in MSM undergoing community-based HIV and sexually transmitted infection (STI) screening in San Diego, and to correlate activity with sexual risk behavior and substance use. Methods This nested cohort study was conducted between December 2018 and April 2019 and leveraged our “Good to Go” (AI106039) screening program for participant recruitment. During their testing encounter participants not on HIV PrEP were provided with surveys on demographics, substance use and risk behavior during previous 3 months, and Grindr™ usage. Participants with iPhones were instructed on how to assess Grindr™ on-screen activity (i.e., time on-screen during last 7 days) on their phones (Figure 1). Risk behavior was classified using the validated San Diego Early Test (SDET) Score (Figure 2). Results Overall 378/784 (48%) MSM participants indicated that they had opened Grindr™ during the previous 7 days. Grindr™ users had higher SDET scores than those not using Grindr™ (median SDET 2, IQR 0–5; mean 2.29) while there was no difference in proportion of substance users (alcohol and marijuana excluded, 21% vs. 17%; P = 0.14). Of 231 MSM who indicated recent Grindr™ use (61%) had iPhones; median on-screen activity during the previous 7 days was 144 minutes (range 1–2,640 minutes). Participants with high Grindr™ utilization (>80th percentile of time on screen corresponding to >480 minutes), had significantly higher SDET scores (median 5 vs. 2; mean 4.02 vs. 3.26; P < 0.001) and a tendency toward a higher proportion of substance users (29% vs. 20%) than those with lower Grindr™ utilization. Conclusion This study introduces Grindr™ on-screen activity as an objective measure that can help identify MSM at high risk for HIV. Disclosures All Authors: No reported Disclosures

1961. Grindr™ on Screen Activity on iPhones Correlates with HIV Risk and Substance Use in Men Who Have Sex with Men, San Diego

Abstract Background Technology has changed the way men-who-have-sex-with-men (MSM) seek sex; ≥60% of MSM in the United States use the internet to find sex partners, primarily via Grindr™ which is the most used dating app among MSM. Studies to date have mostly evaluated Grindr™ use as a dichotomous variable and found inconsistent results regarding associations with increased HIV risk behavior. Importantly, Grindr™ “on-screen” activity is monitored by phones and can provide an objective measure of app usage. Here we aimed to assess Grindr™ “on-screen” activity in MSM undergoing community-based HIV and sexually transmitted infection (STI) screening in San Diego, and to correlate activity with sexual risk behavior and substance use. Methods This nested cohort study was conducted between December 2018 and April 2019 and leveraged our “Good to Go” (AI106039) screening program for participant recruitment. During their testing encounter participants not on HIV PrEP were provided with surveys on demographics, substance use and risk behavior during previous 3 months, and Grindr™ usage. Participants with iPhones were instructed on how to assess Grindr™ on-screen activity (i.e., time on-screen during last 7 days) on their phones (Figure 1). Risk behavior was classified using the validated San Diego Early Test (SDET) Score (Figure 2). Results Overall 378/784 (48%) MSM participants indicated that they had opened Grindr™ during the previous 7 days. Grindr™ users had higher SDET scores than those not using Grindr™ (median SDET 2, IQR 0–5; mean 2.29) while there was no difference in proportion of substance users (alcohol and marijuana excluded, 21% vs. 17%; P = 0.14). Of 231 MSM who indicated recent Grindr™ use (61%) had iPhones; median on-screen activity during the previous 7 days was 144 minutes (range 1–2,640 minutes). Participants with high Grindr™ utilization (>80th percentile of time on screen corresponding to >480 minutes), had significantly higher SDET scores (median 5 vs. 2; mean 4.02 vs. 3.26; P < 0.001) and a tendency toward a higher proportion of substance users (29% vs. 20%) than those with lower Grindr™ utilization. Conclusion This study introduces Grindr™ on-screen activity as an objective measure that can help identify MSM at high risk for HIV. Disclosures All Authors: No reported Disclosures