Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1784650751271763968 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8841043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT parmarheta rtpcrnegativecovid19 AT montovanomargaret rtpcrnegativecovid19 AT banadapadmapriya rtpcrnegativecovid19 AT pentakotasriram rtpcrnegativecovid19 AT shiaustephanie rtpcrnegativecovid19 AT mazhongjie rtpcrnegativecovid19 AT saibirekaheerman rtpcrnegativecovid19 AT chopoorianabby rtpcrnegativecovid19 AT oshaughnessymichael rtpcrnegativecovid19 AT hirschmitchell rtpcrnegativecovid19 AT jainpriyanshi rtpcrnegativecovid19 AT demirdjiangaiane rtpcrnegativecovid19 AT karagueuzianmagali rtpcrnegativecovid19 AT robinthomas rtpcrnegativecovid19 AT salvatimichael rtpcrnegativecovid19 AT patelbhavana rtpcrnegativecovid19 AT allanddavid rtpcrnegativecovid19 AT xieyingdal rtpcrnegativecovid19 |