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

Abstract 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...

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Veröffentlicht in:Open Forum Infectious Diseases 2021-02, Vol.8 (2), p.ofab003-ofab003
Hauptverfasser: 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
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container_issue 2
container_start_page ofab003
container_title Open Forum Infectious Diseases
container_volume 8
creator 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
description Abstract 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. Duration of symptoms before presentation is an independent predictor of poor patient outcomes in COVID-19 disease. Patients presenting in the first 3 days of symptoms have 2-fold increased odds of death. Moroever, SARS-CoV-2 Ct values are a predictor of mortality.
doi_str_mv 10.1093/ofid/ofab003
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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. Duration of symptoms before presentation is an independent predictor of poor patient outcomes in COVID-19 disease. Patients presenting in the first 3 days of symptoms have 2-fold increased odds of death. Moroever, SARS-CoV-2 Ct values are a predictor of mortality.</description><identifier>ISSN: 2328-8957</identifier><identifier>EISSN: 2328-8957</identifier><identifier>DOI: 10.1093/ofid/ofab003</identifier><identifier>PMID: 33604401</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Analysis ; Coronaviruses ; Major ; Medical centers ; Medical colleges ; Medical records ; Medical research ; Medicine, Experimental ; Mortality ; Patient outcomes ; Polymerase chain reaction ; Prognosis ; Severe acute respiratory syndrome</subject><ispartof>Open Forum Infectious Diseases, 2021-02, Vol.8 (2), p.ofab003-ofab003</ispartof><rights>The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America. 2021</rights><rights>The Author(s) 2021. 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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. Duration of symptoms before presentation is an independent predictor of poor patient outcomes in COVID-19 disease. Patients presenting in the first 3 days of symptoms have 2-fold increased odds of death. Moroever, SARS-CoV-2 Ct values are a predictor of mortality.</description><subject>Analysis</subject><subject>Coronaviruses</subject><subject>Major</subject><subject>Medical centers</subject><subject>Medical colleges</subject><subject>Medical records</subject><subject>Medical research</subject><subject>Medicine, Experimental</subject><subject>Mortality</subject><subject>Patient outcomes</subject><subject>Polymerase chain reaction</subject><subject>Prognosis</subject><subject>Severe acute respiratory syndrome</subject><issn>2328-8957</issn><issn>2328-8957</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNp9kk9vFCEYxidGY5vam2fDTQ9OZRgYlovJZuu_pMbGrl4JA-90MTMwBWaT-Xp-MllnbdqLIQHC-3se4M1TFC8rfFFhUb_znTV5Ui3G9ZPilNRkVa4E408f7E-K8xh_YYyrCjPMxfPipK4bTCmuTovf1wESxIRu5mFMfkCXU1DJeoeUM2gz6x7Qdhcg7nxv0E_VTxBR5wO6gT0EQGs9JUDfIY4263yYs5EzwQ-ANj54p_Y2TBGRjGQ-QrkNykUd7Pj3kmvfzwMEFTO-U9ZlTOmlEsBYnR65XNoIB5TgSqCvPiTV2zS_KJ51qo9wflzPih8fP2w3n8urb5--bNZXpWZUpLIiWOhaC8FXVFPaGqVyMxqBGeWNIaImRHSAGWMKamgo0LblXJum44SyVtRnxfvFd5zaAYwGl4Lq5RjsoMIsvbLyccXZnbz1e8m5WLGGZ4M3R4Pg73Ifkxxs1ND3yoGfoiRUVIJyQZqMXizorepBWtf57KjzMDBY7R10Np-vG8ExEYzhLHi7CHTwMQbo7t9VYXmIijxERR6jkvFXD_9yD_8LRgZeL4Cfxv9b_QEEu81j</recordid><startdate>20210201</startdate><enddate>20210201</enddate><creator>Miller, Emily Happy</creator><creator>Zucker, Jason</creator><creator>Castor, Delivette</creator><creator>Annavajhala, Medini K</creator><creator>Sepulveda, Jorge L</creator><creator>Green, Daniel A</creator><creator>Whittier, Susan</creator><creator>Scherer, Matthew</creator><creator>Medrano, Nicola</creator><creator>Sobieszczyk, Magdalena E</creator><creator>Yin, Michael T</creator><creator>Kuhn, Louise</creator><creator>Uhlemann, Anne-Catrin</creator><general>Oxford University Press</general><scope>TOX</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IAO</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0640-5653</orcidid><orcidid>https://orcid.org/0000-0001-6987-6412</orcidid></search><sort><creationdate>20210201</creationdate><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><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></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c549t-1209c3c99784c44bdaa0796905476d293229fe0555ae3e64e4bb77cd6f7245b93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Analysis</topic><topic>Coronaviruses</topic><topic>Major</topic><topic>Medical centers</topic><topic>Medical colleges</topic><topic>Medical records</topic><topic>Medical research</topic><topic>Medicine, Experimental</topic><topic>Mortality</topic><topic>Patient outcomes</topic><topic>Polymerase chain reaction</topic><topic>Prognosis</topic><topic>Severe acute respiratory syndrome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Miller, Emily Happy</creatorcontrib><creatorcontrib>Zucker, Jason</creatorcontrib><creatorcontrib>Castor, Delivette</creatorcontrib><creatorcontrib>Annavajhala, Medini K</creatorcontrib><creatorcontrib>Sepulveda, Jorge L</creatorcontrib><creatorcontrib>Green, Daniel A</creatorcontrib><creatorcontrib>Whittier, Susan</creatorcontrib><creatorcontrib>Scherer, Matthew</creatorcontrib><creatorcontrib>Medrano, Nicola</creatorcontrib><creatorcontrib>Sobieszczyk, Magdalena E</creatorcontrib><creatorcontrib>Yin, Michael T</creatorcontrib><creatorcontrib>Kuhn, Louise</creatorcontrib><creatorcontrib>Uhlemann, Anne-Catrin</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale Academic OneFile</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Open Forum Infectious Diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Miller, Emily Happy</au><au>Zucker, Jason</au><au>Castor, Delivette</au><au>Annavajhala, Medini K</au><au>Sepulveda, Jorge L</au><au>Green, Daniel A</au><au>Whittier, Susan</au><au>Scherer, Matthew</au><au>Medrano, Nicola</au><au>Sobieszczyk, Magdalena E</au><au>Yin, Michael T</au><au>Kuhn, Louise</au><au>Uhlemann, Anne-Catrin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pretest Symptom Duration and Cycle Threshold Values for Severe Acute Respiratory Syndrome Coronavirus 2 Reverse-Transcription Polymerase Chain Reaction Predict Coronavirus Disease 2019 Mortality</atitle><jtitle>Open Forum Infectious Diseases</jtitle><addtitle>Open Forum Infect Dis</addtitle><date>2021-02-01</date><risdate>2021</risdate><volume>8</volume><issue>2</issue><spage>ofab003</spage><epage>ofab003</epage><pages>ofab003-ofab003</pages><issn>2328-8957</issn><eissn>2328-8957</eissn><abstract>Abstract 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. Duration of symptoms before presentation is an independent predictor of poor patient outcomes in COVID-19 disease. Patients presenting in the first 3 days of symptoms have 2-fold increased odds of death. Moroever, SARS-CoV-2 Ct values are a predictor of mortality.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>33604401</pmid><doi>10.1093/ofid/ofab003</doi><orcidid>https://orcid.org/0000-0002-0640-5653</orcidid><orcidid>https://orcid.org/0000-0001-6987-6412</orcidid><oa>free_for_read</oa></addata></record>
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source Oxford Journals Open Access Collection; TestCollectionTL3OpenAccess; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Analysis
Coronaviruses
Major
Medical centers
Medical colleges
Medical records
Medical research
Medicine, Experimental
Mortality
Patient outcomes
Polymerase chain reaction
Prognosis
Severe acute respiratory syndrome
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
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