Prevalence of post-acute sequelae of SARS-CoV-2 infection in people living with HIV: a systematic review with meta-analysis

Given the chronic immune activation and inflammatory milieu associated with Long COVID and HIV, we assessed the prevalence of Long COVID in adults living with HIV; and investigated whether adults living with HIV were associated with increased chance of developing Long COVID compared to adults living...

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Veröffentlicht in:EClinicalMedicine 2025-01, Vol.79, p.102993, Article 102993
Hauptverfasser: Pouliopoulou, Dimitra V., Billias, Nicole, MacDermid, Joy C., Miller, Erin, O'Brien, Kelly K., Quinn, Kieran L., Malvankar-Mehta, Monali S., Pereira, Tiago V., Cheung, Angela M., Razak, Fahad, Stranges, Saverio, Bobos, Pavlos
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Sprache:eng
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Zusammenfassung:Given the chronic immune activation and inflammatory milieu associated with Long COVID and HIV, we assessed the prevalence of Long COVID in adults living with HIV; and investigated whether adults living with HIV were associated with increased chance of developing Long COVID compared to adults living without HIV In this systematic review and meta-analysis, we searched Medline, EMBASE, CINHAL, PubMed and CENTRAL from inception until June 14th, 2024, for observational studies that measured the prevalence of Long COVID in adults living with HIV and the odds of developing Long COVID following a SARS-CoV-2 infection in people living with HIV compared to people living without HIV. Reviews, case reports, randomised control trials and editorials were excluded. The search was conducted without language restrictions. We performed meta-analysis of proportions to synthesise prevalence estimates using logit transformation and a sensitivity analysis using mixed-effects logistic regression. We used random-effects meta-analyses to summarize the odds ratio (OR) of developing Long COVID in adults living with HIV compared to adults living without HIV and conducted a sensitivity analysis including only studies with covariate-adjusted estimates that was planned a-priori. We used ROBINS-E for the risk of bias assessment and GRADE to rate the certainty of evidence. We identified statistical heterogeneity using Cochran's Q test and quantified it using the I2 statistic. For the Q test, a P 
ISSN:2589-5370
2589-5370
DOI:10.1016/j.eclinm.2024.102993