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1100. SARS-CoV-2 seroprevalence in Kenyan youth living with HIV

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dc.contributor.author Boyle, Mary
dc.contributor.author Nyandiko, Winstone
dc.contributor.author DeLong, Allison
dc.contributor.author Chory, Ashley
dc.contributor.author Aluoch, Josephine
dc.contributor.author Ashimosi, Celestine
dc.contributor.author Munyoro, Dennis
dc.contributor.author Biegon, Whitney
dc.date.accessioned 2023-07-17T09:57:23Z
dc.date.available 2023-07-17T09:57:23Z
dc.date.issued 2023
dc.identifier.uri https://doi.org/10.1093/ofid/ofac492.939
dc.identifier.uri http://ir.mu.ac.ke:8080/jspui/handle/123456789/7807
dc.description.abstract Background SARS-CoV-2 seroprevalence studies can inform pandemic spread. By February 2021, estimates demonstrated 11%-62% seroprevalence in diverse Kenyan populations, with geographic variability and temporal increase, and well in excess of 0.2% laboratory-confirmed cases. The impact of HIV on seropositivity, particularly in youth living with HIV (YLWH) is unclear. Methods During February to September 2021, before SARS-CoV-2 vaccination, we cross-sectionally enrolled perinatally-infected YLWH in western Kenya in four sites (Eldoret, tertiary referral center; urban Kitale, peri-urban Turbo, rural Webuye), and determined seropositivity using the Bio-Rad Platelia assay. Additional evaluations included HIV viral load (VL), CD4 and a COVID-19-focused survey. Multiple logistic regression was used to measure associations of seropositivity with age, gender, enrollment month, site, HIV treatment failure (VL > 1,000 copies/ml), and CD4 (≥ 500 vs < 500 cells/μL). Results Of 241 YLWH, 29% were seropositive, 68% seronegative and 4% equivocal. Temporal trends (linear relationship per subsequent enrollment month; Odds Ratio (OR) 1.29 [95% Confidence Interval (CI), 1.06-1.58], p=0.013) and geographic variability (Eldoret-25%, Kitale-20%, Turbo-25%, Webuye-56%; p=0.027) were observed. Presumptive or laboratory-confirmed COVID-19 diagnosis, hospitalization, or death were absent. Self-reported illness was similar among seropositives and seronegatives, and highest in Webuye. Seropositivity was significantly associated with being male (OR, 1.06 [95% CI, 0.57-1.98], p=0.848), and age 15-17 years vs < 15 (OR, 2.57 [95% CI, 1.16-5.93], p=0.023), not with VL or CD4. Among seropositives, above-range titers were seen in 57%. Conclusion Of 241 Kenyan YLWH, 29% were SARS-CoV-2 seropositive by August 2021, with geographical, temporal, and age differences, and most seropositives mounting a robust response. Increased prevalence in rural Webuye may reflect less widespread mask-wearing, or its location on a busy transit route. Speculations on why seropositivity is low compared to earlier estimations, like HIV status, failed seroconversion, waning immunity, perception of risk promoting adherence to mitigations, or exposure to research-related guidance, should be investigated. en_US
dc.language.iso en en_US
dc.publisher Oxford Academic en_US
dc.subject Youth living with HIV en_US
dc.title 1100. SARS-CoV-2 seroprevalence in Kenyan youth living with HIV en_US
dc.type Article en_US


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