Autor: |
Heta Parmar, Margaret Montovano, Padmapriya Banada, Sri Ram Pentakota, Stephanie Shiau, Zhongjie Ma, Kaheerman Saibire, Abby Chopoorian, Michael O’Shaughnessy, Mitchell Hirsch, Priyanshi Jain, Gaiane Demirdjian, Magali Karagueuzian, Thomas Robin, Michael Salvati, Bhavana Patel, David Alland, Yingda L. Xie |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
BMC Infectious Diseases, Vol 22, Iss 1, Pp 1-10 (2022) |
Druh dokumentu: |
article |
ISSN: |
1471-2334 |
DOI: |
10.1186/s12879-022-07095-x |
Popis: |
Abstract Background COVID-19 is a multi-system infection with emerging evidence-based antiviral and anti-inflammatory therapies to improve disease prognosis. However, a subset of patients with COVID-19 signs and symptoms have repeatedly negative RT-PCR tests, leading to treatment hesitancy. We used comparative serology early in the COVID-19 pandemic when background seroprevalence was low to estimate the likelihood of COVID-19 infection among RT-PCR negative patients with clinical signs and/or symptoms compatible with COVID-19. Methods Between April and October 2020, we conducted serologic testing of patients with (i) signs and symptoms of COVID-19 who were repeatedly negative by RT-PCR (‘Probables’; N = 20), (ii) signs and symptoms of COVID-19 but with a potential alternative diagnosis (‘Suspects’; N = 15), (iii) no signs and symptoms of COVID-19 (‘Non-suspects’; N = 43), (iv) RT-PCR confirmed COVID-19 patients (N = 40), and (v) pre-pandemic samples (N = 55). Results Probables had similar seropositivity and levels of IgG and IgM antibodies as propensity-score matched RT-PCR confirmed COVID-19 patients (60.0% vs 80.0% for IgG, p-value = 0.13; 50.0% vs 72.5% for IgM, p-value = 0.10), but multi-fold higher seropositivity rates than Suspects and matched Non-suspects (60.0% vs 13.3% and 11.6% for IgG; 50.0% vs 0% and 4.7% for IgM respectively; p-values |
Databáze: |
Directory of Open Access Journals |
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