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Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak
RATIONALE AND OBJECTIVES: Asymptomatic COVID-19 carriers and insufficient testing make containment of the virus difficult. The purpose of this study was to determine if unexpected lung base findings on abdominopelvic CTs concerning for COVID-19 infection could serve as a surrogate for the diagnosis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Association of University Radiologists. Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484077/ https://www.ncbi.nlm.nih.gov/pubmed/34740527 http://dx.doi.org/10.1016/j.acra.2021.09.023 |
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author | Smereka, Paul Anthopolos, Rebecca Latson, Larry A. Kirsch, Polly Dane, Bari |
author_facet | Smereka, Paul Anthopolos, Rebecca Latson, Larry A. Kirsch, Polly Dane, Bari |
author_sort | Smereka, Paul |
collection | PubMed |
description | RATIONALE AND OBJECTIVES: Asymptomatic COVID-19 carriers and insufficient testing make containment of the virus difficult. The purpose of this study was to determine if unexpected lung base findings on abdominopelvic CTs concerning for COVID-19 infection could serve as a surrogate for the diagnosis of COVID-19 in the community. MATERIALS AND METHODS: A database search of abdominopelvic CT reports from March 1,2020 to May 2,2020 was performed for keywords suggesting COVID-19 infection by lung base findings. COVID-19 status, respiratory symptoms, laboratory parameters and patient outcomes (hospitalization, ICU admission and/or intubation, and death) were recorded. The trend in cases of unexpected concerning lung base findings on abdominopelvic CT at our institution was compared to the total number of confirmed new cases in NYC over the same time period. RESULTS: The trend in abnormal lung base findings on abdominopelvic CT at our institution correlated with the citywide number of confirmed new cases, including rise and subsequent fall in total cases. The trend was not mediated by COVID-19 testing status or number of tests performed. Patients with respiratory symptoms had significantly higher ferritin (median = 995ng/ml vs 500ng/ml, p = 0.027) and death rate (8/24, 33% vs 4/54, 9%, p = 0.018) compared to those without. CONCLUSION: The rise and fall of unexpected lung base findings suggestive of COVID-19 infection on abdominopelvic CT in patients without COVID-19 symptoms correlated with the number of confirmed new cases throughout NYC from the same time period. A model using abdominopelvic CT lung base findings can serve as a surrogate for future COVID-19 outbreaks. |
format | Online Article Text |
id | pubmed-8484077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Association of University Radiologists. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84840772021-10-01 Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak Smereka, Paul Anthopolos, Rebecca Latson, Larry A. Kirsch, Polly Dane, Bari Acad Radiol Original Investigation RATIONALE AND OBJECTIVES: Asymptomatic COVID-19 carriers and insufficient testing make containment of the virus difficult. The purpose of this study was to determine if unexpected lung base findings on abdominopelvic CTs concerning for COVID-19 infection could serve as a surrogate for the diagnosis of COVID-19 in the community. MATERIALS AND METHODS: A database search of abdominopelvic CT reports from March 1,2020 to May 2,2020 was performed for keywords suggesting COVID-19 infection by lung base findings. COVID-19 status, respiratory symptoms, laboratory parameters and patient outcomes (hospitalization, ICU admission and/or intubation, and death) were recorded. The trend in cases of unexpected concerning lung base findings on abdominopelvic CT at our institution was compared to the total number of confirmed new cases in NYC over the same time period. RESULTS: The trend in abnormal lung base findings on abdominopelvic CT at our institution correlated with the citywide number of confirmed new cases, including rise and subsequent fall in total cases. The trend was not mediated by COVID-19 testing status or number of tests performed. Patients with respiratory symptoms had significantly higher ferritin (median = 995ng/ml vs 500ng/ml, p = 0.027) and death rate (8/24, 33% vs 4/54, 9%, p = 0.018) compared to those without. CONCLUSION: The rise and fall of unexpected lung base findings suggestive of COVID-19 infection on abdominopelvic CT in patients without COVID-19 symptoms correlated with the number of confirmed new cases throughout NYC from the same time period. A model using abdominopelvic CT lung base findings can serve as a surrogate for future COVID-19 outbreaks. The Association of University Radiologists. Published by Elsevier Inc. 2021-12 2021-10-01 /pmc/articles/PMC8484077/ /pubmed/34740527 http://dx.doi.org/10.1016/j.acra.2021.09.023 Text en © 2021 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Original Investigation Smereka, Paul Anthopolos, Rebecca Latson, Larry A. Kirsch, Polly Dane, Bari Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak |
title | Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak |
title_full | Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak |
title_fullStr | Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak |
title_full_unstemmed | Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak |
title_short | Using Lung Base Covid-19 Findings to Predict Future Disease Trends and New Variant Outbreaks: Study of First New York City (NYC) Outbreak |
title_sort | using lung base covid-19 findings to predict future disease trends and new variant outbreaks: study of first new york city (nyc) outbreak |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484077/ https://www.ncbi.nlm.nih.gov/pubmed/34740527 http://dx.doi.org/10.1016/j.acra.2021.09.023 |
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