SARS-CoV-2 Viral Load Predicts Mortality in Patients with and without Cancer Who Are Hospitalized with COVID-19.

Aged Aged, 80 and over Betacoronavirus / isolation & purification COVID-19 Case-Control Studies Coronavirus Infections / complications Female Follow-Up Studies Hospitalization / statistics & numerical data Humans Male Middle Aged Neoplasms / epidemiology New York / epidemiology Pandemics Pneumonia, Viral / complications Prognosis Retrospective Studies SARS-CoV-2 Survival Rate Viral Load

cancer coronavirus disease 2019 (COVID-19) cycle threshold (C(T)) hematologic malignancy mortality severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) solid tumor viral load

Journal

Cancer cell

ISSN: 1878-3686

Titre abrégé: Cancer Cell

Pays: United States

ID NLM: 101130617

Informations de publication

Date de publication:
09 11 2020

Historique:

received: 25 08 2020

revised: 10 09 2020

accepted: 11 09 2020

pubmed: 1 10 2020

medline: 1 12 2020

entrez: 30 9 2020

Statut: ppublish

Résumé

Patients with cancer may be at increased risk of severe coronavirus disease 2019 (COVID-19), but the role of viral load on this risk is unknown. We measured SARS-CoV-2 viral load using cycle threshold (C

Identifiants

DOI: 10.1016/j.ccell.2020.09.007 PMID: 32997958 PMC: PMC7492074

pubmed: 32997958

pii: S1535-6108(20)30481-5

doi: 10.1016/j.ccell.2020.09.007

pmc: PMC7492074

pii:

doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

Pagination

661-671.e2

Subventions

Organisme : NCATS NIH HHS

ID : UL1 TR002384

Pays : United States

Informations de copyright

Déclaration de conflit d'intérêts

Declaration of Interests L.F.W. reports receiving consulting and grant support from Roche Molecular Systems, Inc. M.M.S. receives grant support from Amgen, Inc. All other authors declare no competing interests.

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