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HIV Med ; 21(9): 567-577, 2020 10.
Article in English | MEDLINE | ID: covidwho-646260

ABSTRACT

OBJECTIVES: The aim of the study was to systematically review current studies reporting on clinical outcomes in people living with HIV (PLHIV) infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). METHODS: We conducted a systematic review using the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. A comprehensive literature search was conducted in Global Health, SCOPUS, Medline and EMBASE using pertinent key words and Medical Subject Headings (MeSH) terms relating to coronavirus disease 2019 (COVID-19) and HIV. A narrative synthesis was undertaken. Articles are summarized in relevant sections. RESULTS: Two hundred and eighty-five articles were identified after duplicates had been removed. After screening, eight studies were analysed, totalling 70 HIV-infected patients (57 without AIDS and 13 with AIDS). Three themes were identified: (1) controlled HIV infection does not appear to result in poorer COVID-19 outcomes, (2) more data are needed to determine COVID-19 outcomes in patients with AIDS and (3) HIV-infected patients presenting with COVID-19 symptoms should be investigated for superinfections. CONCLUSIONS: Our findings suggest that PLHIV with well-controlled disease are not at risk of poorer COVID-19 disease outcomes than the general population. It is not clear whether those with poorly controlled HIV disease and AIDS have poorer outcomes. Superimposed bacterial pneumonia may be a risk factor for more severe COVID-19 but further research is urgently needed to elucidate whether PLHIV are more at risk than the general population.


Subject(s)
Acquired Immunodeficiency Syndrome/complications , COVID-19/complications , Coinfection , Acquired Immunodeficiency Syndrome/mortality , Acquired Immunodeficiency Syndrome/pathology , Acquired Immunodeficiency Syndrome/virology , COVID-19/mortality , COVID-19/pathology , COVID-19/virology , Disease Progression , Female , Humans , MEDLINE , Male , Medical Informatics Applications , Risk Factors
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