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Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2

When a SARS-CoV-2 RT-qPCR test is performed, it may determine an indirect measure of viral load called cycle threshold (Ct). Respiratory samples with Ct <25.0 cycles are considered to contain a high viral load. We aimed to determine whether SARS-CoV-2 Ct at diagnosis could predict mortality in pa...

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Autores principales: Santarelli, Ignacio Martín, Manzella, Diego Jorge, Gallo Vaulet, María Lucía, Rodríguez Fermepín, Marcelo, Crespo, Yanina, Toledo Monaca, Santiago, Dobarro, Martín, Fernández, Sofía Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Asociación Argentina de Microbiología. Published by Elsevier España, S.L.U. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130324/
https://www.ncbi.nlm.nih.gov/pubmed/37208258
http://dx.doi.org/10.1016/j.ram.2023.03.002
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author Santarelli, Ignacio Martín
Manzella, Diego Jorge
Gallo Vaulet, María Lucía
Rodríguez Fermepín, Marcelo
Crespo, Yanina
Toledo Monaca, Santiago
Dobarro, Martín
Fernández, Sofía Isabel
author_facet Santarelli, Ignacio Martín
Manzella, Diego Jorge
Gallo Vaulet, María Lucía
Rodríguez Fermepín, Marcelo
Crespo, Yanina
Toledo Monaca, Santiago
Dobarro, Martín
Fernández, Sofía Isabel
author_sort Santarelli, Ignacio Martín
collection PubMed
description When a SARS-CoV-2 RT-qPCR test is performed, it may determine an indirect measure of viral load called cycle threshold (Ct). Respiratory samples with Ct <25.0 cycles are considered to contain a high viral load. We aimed to determine whether SARS-CoV-2 Ct at diagnosis could predict mortality in patients with hematologic malignancies (lymphomas, leukemias, multiple myeloma) who contracted COVID-19. We included 35 adults with COVID-19 confirmed by RT-qPCR performed at diagnosis. We evaluated mortality due to COVID-19 rather than mortality due to the hematologic neoplasm or all-cause mortality. Twenty-seven (27) patients survived and 8 died. The global mean Ct was 22.8 cycles with a median of 21.7. Among the survivors, the mean Ct was 24.2, and the median Ct value was 22.9 cycles. In the deceased patients, the mean Ct was 18.0 and the median Ct value was 17.0 cycles. Using the Wilcoxon Rank Sum test, we found a significant difference (p = 0.035). SARS-CoV-2 Ct measured in nasal swabs obtained at diagnosis from patients with hematologic malignancies may be used to predict mortality.
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spelling pubmed-101303242023-04-26 Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2 Santarelli, Ignacio Martín Manzella, Diego Jorge Gallo Vaulet, María Lucía Rodríguez Fermepín, Marcelo Crespo, Yanina Toledo Monaca, Santiago Dobarro, Martín Fernández, Sofía Isabel Rev Argent Microbiol Brief Report When a SARS-CoV-2 RT-qPCR test is performed, it may determine an indirect measure of viral load called cycle threshold (Ct). Respiratory samples with Ct <25.0 cycles are considered to contain a high viral load. We aimed to determine whether SARS-CoV-2 Ct at diagnosis could predict mortality in patients with hematologic malignancies (lymphomas, leukemias, multiple myeloma) who contracted COVID-19. We included 35 adults with COVID-19 confirmed by RT-qPCR performed at diagnosis. We evaluated mortality due to COVID-19 rather than mortality due to the hematologic neoplasm or all-cause mortality. Twenty-seven (27) patients survived and 8 died. The global mean Ct was 22.8 cycles with a median of 21.7. Among the survivors, the mean Ct was 24.2, and the median Ct value was 22.9 cycles. In the deceased patients, the mean Ct was 18.0 and the median Ct value was 17.0 cycles. Using the Wilcoxon Rank Sum test, we found a significant difference (p = 0.035). SARS-CoV-2 Ct measured in nasal swabs obtained at diagnosis from patients with hematologic malignancies may be used to predict mortality. Asociación Argentina de Microbiología. Published by Elsevier España, S.L.U. 2023-04-26 /pmc/articles/PMC10130324/ /pubmed/37208258 http://dx.doi.org/10.1016/j.ram.2023.03.002 Text en © 2023 Asociación Argentina de Microbiología. Published by Elsevier España, S.L.U. 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 Brief Report
Santarelli, Ignacio Martín
Manzella, Diego Jorge
Gallo Vaulet, María Lucía
Rodríguez Fermepín, Marcelo
Crespo, Yanina
Toledo Monaca, Santiago
Dobarro, Martín
Fernández, Sofía Isabel
Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2
title Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2
title_full Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2
title_fullStr Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2
title_full_unstemmed Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2
title_short Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2
title_sort cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with sars-cov-2
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130324/
https://www.ncbi.nlm.nih.gov/pubmed/37208258
http://dx.doi.org/10.1016/j.ram.2023.03.002
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