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RT-PCR negative COVID-19

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 comparat...

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Autores principales: Parmar, Heta, Montovano, Margaret, Banada, Padmapriya, Pentakota, Sri Ram, Shiau, Stephanie, Ma, Zhongjie, Saibire, Kaheerman, Chopoorian, Abby, O’Shaughnessy, Michael, Hirsch, Mitchell, Jain, Priyanshi, Demirdjian, Gaiane, Karagueuzian, Magali, Robin, Thomas, Salvati, Michael, Patel, Bhavana, Alland, David, Xie, Yingda L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841043/
https://www.ncbi.nlm.nih.gov/pubmed/35152885
http://dx.doi.org/10.1186/s12879-022-07095-x
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author Parmar, Heta
Montovano, Margaret
Banada, Padmapriya
Pentakota, Sri Ram
Shiau, Stephanie
Ma, Zhongjie
Saibire, Kaheerman
Chopoorian, Abby
O’Shaughnessy, Michael
Hirsch, Mitchell
Jain, Priyanshi
Demirdjian, Gaiane
Karagueuzian, Magali
Robin, Thomas
Salvati, Michael
Patel, Bhavana
Alland, David
Xie, Yingda L.
author_facet Parmar, Heta
Montovano, Margaret
Banada, Padmapriya
Pentakota, Sri Ram
Shiau, Stephanie
Ma, Zhongjie
Saibire, Kaheerman
Chopoorian, Abby
O’Shaughnessy, Michael
Hirsch, Mitchell
Jain, Priyanshi
Demirdjian, Gaiane
Karagueuzian, Magali
Robin, Thomas
Salvati, Michael
Patel, Bhavana
Alland, David
Xie, Yingda L.
author_sort Parmar, Heta
collection PubMed
description 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 < 0.01). However, Probables were half as likely to receive COVID-19 treatment than the RT-PCR confirmed COVID-19 patients with similar disease severity. CONCLUSIONS: Findings from this study indicate a high likelihood of acute COVID-19 among RT-PCR negative with typical signs/symptoms, but a common omission of COVID-19 therapies among these patients. Clinically diagnosed COVID-19, independent of RT-PCR positivity, thus has a potential vital role in guiding treatment decisions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07095-x.
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spelling pubmed-88410432022-02-16 RT-PCR negative COVID-19 Parmar, Heta Montovano, Margaret Banada, Padmapriya Pentakota, Sri Ram Shiau, Stephanie Ma, Zhongjie Saibire, Kaheerman Chopoorian, Abby O’Shaughnessy, Michael Hirsch, Mitchell Jain, Priyanshi Demirdjian, Gaiane Karagueuzian, Magali Robin, Thomas Salvati, Michael Patel, Bhavana Alland, David Xie, Yingda L. BMC Infect Dis Research 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 < 0.01). However, Probables were half as likely to receive COVID-19 treatment than the RT-PCR confirmed COVID-19 patients with similar disease severity. CONCLUSIONS: Findings from this study indicate a high likelihood of acute COVID-19 among RT-PCR negative with typical signs/symptoms, but a common omission of COVID-19 therapies among these patients. Clinically diagnosed COVID-19, independent of RT-PCR positivity, thus has a potential vital role in guiding treatment decisions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07095-x. BioMed Central 2022-02-13 /pmc/articles/PMC8841043/ /pubmed/35152885 http://dx.doi.org/10.1186/s12879-022-07095-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Parmar, Heta
Montovano, Margaret
Banada, Padmapriya
Pentakota, Sri Ram
Shiau, Stephanie
Ma, Zhongjie
Saibire, Kaheerman
Chopoorian, Abby
O’Shaughnessy, Michael
Hirsch, Mitchell
Jain, Priyanshi
Demirdjian, Gaiane
Karagueuzian, Magali
Robin, Thomas
Salvati, Michael
Patel, Bhavana
Alland, David
Xie, Yingda L.
RT-PCR negative COVID-19
title RT-PCR negative COVID-19
title_full RT-PCR negative COVID-19
title_fullStr RT-PCR negative COVID-19
title_full_unstemmed RT-PCR negative COVID-19
title_short RT-PCR negative COVID-19
title_sort rt-pcr negative covid-19
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8841043/
https://www.ncbi.nlm.nih.gov/pubmed/35152885
http://dx.doi.org/10.1186/s12879-022-07095-x
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