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Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality

BACKGROUND: The relationship between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load and patient symptom duration in both in- and outpatients, and the impact of these factors on patient outcomes, are currently unknown. Understanding these associations is important to clinicia...

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Autores principales: Miller, Emily Happy, Zucker, Jason, Castor, Delivette, Annavajhala, Medini K, Sepulveda, Jorge L, Green, Daniel A, Whittier, Susan, Scherer, Matthew, Medrano, Nicola, Sobieszczyk, Magdalena E, Yin, Michael T, Kuhn, Louise, Uhlemann, Anne-Catrin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798567/
https://www.ncbi.nlm.nih.gov/pubmed/33604401
http://dx.doi.org/10.1093/ofid/ofab003
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author Miller, Emily Happy
Zucker, Jason
Castor, Delivette
Annavajhala, Medini K
Sepulveda, Jorge L
Green, Daniel A
Whittier, Susan
Scherer, Matthew
Medrano, Nicola
Sobieszczyk, Magdalena E
Yin, Michael T
Kuhn, Louise
Uhlemann, Anne-Catrin
author_facet Miller, Emily Happy
Zucker, Jason
Castor, Delivette
Annavajhala, Medini K
Sepulveda, Jorge L
Green, Daniel A
Whittier, Susan
Scherer, Matthew
Medrano, Nicola
Sobieszczyk, Magdalena E
Yin, Michael T
Kuhn, Louise
Uhlemann, Anne-Catrin
author_sort Miller, Emily Happy
collection PubMed
description BACKGROUND: The relationship between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load and patient symptom duration in both in- and outpatients, and the impact of these factors on patient outcomes, are currently unknown. Understanding these associations is important to clinicians caring for patients with coronavirus disease 2019 (COVID-19). METHODS: We conducted an observational study between March 10 and May 30, 2020 at a large quaternary academic medical center in New York City. Patient characteristics, laboratory values, and clinical outcomes were abstracted from the electronic medical records. Of all patients tested for SARS-CoV-2 during this time (N = 16 384), there were 5467 patients with positive tests, 4254 of which had available cycle threshold (Ct) values and were included in further analysis. Univariable and multivariable logistic regression models were used to test associations between Ct values, duration of symptoms before testing, patient characteristics, and mortality. The primary outcome is defined as death or discharge to hospice. RESULTS: Lower Ct values at diagnosis (ie, higher viral load) were associated with significantly higher mortality among both in- and outpatients. It is interesting to note that patients with a shorter time since the onset of symptoms to testing had a worse prognosis, with those presenting less than 3 days from symptom onset having 2-fold increased odds of death. After adjusting for time since symptom onset and other clinical covariates, Ct values remained a strong predictor of mortality. CONCLUSIONS: Severe acute respiratory syndrome coronavirus 2 reverse-transcription polymerase chain reaction Ct value and duration of symptoms are strongly associated with mortality. These 2 factors add useful information for clinicians to risk stratify patients presenting with COVID-19.
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spelling pubmed-77985672021-01-25 Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality Miller, Emily Happy Zucker, Jason Castor, Delivette Annavajhala, Medini K Sepulveda, Jorge L Green, Daniel A Whittier, Susan Scherer, Matthew Medrano, Nicola Sobieszczyk, Magdalena E Yin, Michael T Kuhn, Louise Uhlemann, Anne-Catrin Open Forum Infect Dis Major Articles BACKGROUND: The relationship between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral load and patient symptom duration in both in- and outpatients, and the impact of these factors on patient outcomes, are currently unknown. Understanding these associations is important to clinicians caring for patients with coronavirus disease 2019 (COVID-19). METHODS: We conducted an observational study between March 10 and May 30, 2020 at a large quaternary academic medical center in New York City. Patient characteristics, laboratory values, and clinical outcomes were abstracted from the electronic medical records. Of all patients tested for SARS-CoV-2 during this time (N = 16 384), there were 5467 patients with positive tests, 4254 of which had available cycle threshold (Ct) values and were included in further analysis. Univariable and multivariable logistic regression models were used to test associations between Ct values, duration of symptoms before testing, patient characteristics, and mortality. The primary outcome is defined as death or discharge to hospice. RESULTS: Lower Ct values at diagnosis (ie, higher viral load) were associated with significantly higher mortality among both in- and outpatients. It is interesting to note that patients with a shorter time since the onset of symptoms to testing had a worse prognosis, with those presenting less than 3 days from symptom onset having 2-fold increased odds of death. After adjusting for time since symptom onset and other clinical covariates, Ct values remained a strong predictor of mortality. CONCLUSIONS: Severe acute respiratory syndrome coronavirus 2 reverse-transcription polymerase chain reaction Ct value and duration of symptoms are strongly associated with mortality. These 2 factors add useful information for clinicians to risk stratify patients presenting with COVID-19. Oxford University Press 2021-01-04 /pmc/articles/PMC7798567/ /pubmed/33604401 http://dx.doi.org/10.1093/ofid/ofab003 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Major Articles
Miller, Emily Happy
Zucker, Jason
Castor, Delivette
Annavajhala, Medini K
Sepulveda, Jorge L
Green, Daniel A
Whittier, Susan
Scherer, Matthew
Medrano, Nicola
Sobieszczyk, Magdalena E
Yin, Michael T
Kuhn, Louise
Uhlemann, Anne-Catrin
Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality
title Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality
title_full Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality
title_fullStr Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality
title_full_unstemmed Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality
title_short Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality
title_sort pretest symptom duration and cycle threshold values for severe acute respiratory syndrome coronavirus 2 reverse-transcription polymerase chain reaction predict coronavirus disease 2019 mortality
topic Major Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798567/
https://www.ncbi.nlm.nih.gov/pubmed/33604401
http://dx.doi.org/10.1093/ofid/ofab003
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