The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia

The clinical course of coronavirus disease 2019 (COVID-19) varies from mild to critical. We retrospectively examined whether clinical and laboratory findings on admission could predict COVID-19 prognosis. Among various factors associated with COVID-19 severity, our results indicated that the real-ti...

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Autores principales: Fukushima, Takahiro, Kabata, Hiroki, Yamamoto, Ryo, Suhara, Tomohiro, Uwamino, Yoshifumi, Kondo, Yasushi, Masaki, Katsunori, Kamata, Hirofumi, Nagata, Hiromasa, Homma, Koichiro, Kaneko, Yuko, Ishii, Makoto, Sasaki, Junichi, Morisaki, Hiroshi, Hasegawa, Naoki, Fukunaga, Koichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Respiratory Society. Published by Elsevier B.V. 2021
Materias:
Rapid Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843124/
https://www.ncbi.nlm.nih.gov/pubmed/33582075
http://dx.doi.org/10.1016/j.resinv.2020.12.011
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author Fukushima, Takahiro
Kabata, Hiroki
Yamamoto, Ryo
Suhara, Tomohiro
Uwamino, Yoshifumi
Kondo, Yasushi
Masaki, Katsunori
Kamata, Hirofumi
Nagata, Hiromasa
Homma, Koichiro
Kaneko, Yuko
Ishii, Makoto
Sasaki, Junichi
Morisaki, Hiroshi
Hasegawa, Naoki
Fukunaga, Koichi
author_facet Fukushima, Takahiro
Kabata, Hiroki
Yamamoto, Ryo
Suhara, Tomohiro
Uwamino, Yoshifumi
Kondo, Yasushi
Masaki, Katsunori
Kamata, Hirofumi
Nagata, Hiromasa
Homma, Koichiro
Kaneko, Yuko
Ishii, Makoto
Sasaki, Junichi
Morisaki, Hiroshi
Hasegawa, Naoki
Fukunaga, Koichi
author_sort Fukushima, Takahiro
collection PubMed
description The clinical course of coronavirus disease 2019 (COVID-19) varies from mild to critical. We retrospectively examined whether clinical and laboratory findings on admission could predict COVID-19 prognosis. Among various factors associated with COVID-19 severity, our results indicated that the real-time reverse transcription-polymerase chain reaction (RT-PCR) threshold cycle (Ct) values for severe acute respiratory syndrome coronavirus 2 were the most useful predictor of COVID-19 prognosis.
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spelling pubmed-78431242021-01-29 The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia Fukushima, Takahiro Kabata, Hiroki Yamamoto, Ryo Suhara, Tomohiro Uwamino, Yoshifumi Kondo, Yasushi Masaki, Katsunori Kamata, Hirofumi Nagata, Hiromasa Homma, Koichiro Kaneko, Yuko Ishii, Makoto Sasaki, Junichi Morisaki, Hiroshi Hasegawa, Naoki Fukunaga, Koichi Respir Investig Rapid Communication The clinical course of coronavirus disease 2019 (COVID-19) varies from mild to critical. We retrospectively examined whether clinical and laboratory findings on admission could predict COVID-19 prognosis. Among various factors associated with COVID-19 severity, our results indicated that the real-time reverse transcription-polymerase chain reaction (RT-PCR) threshold cycle (Ct) values for severe acute respiratory syndrome coronavirus 2 were the most useful predictor of COVID-19 prognosis. The Japanese Respiratory Society. Published by Elsevier B.V. 2021-05 2021-01-28 /pmc/articles/PMC7843124/ /pubmed/33582075 http://dx.doi.org/10.1016/j.resinv.2020.12.011 Text en © 2021 The Japanese Respiratory Society. Published by Elsevier B.V. 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 Rapid Communication
Fukushima, Takahiro
Kabata, Hiroki
Yamamoto, Ryo
Suhara, Tomohiro
Uwamino, Yoshifumi
Kondo, Yasushi
Masaki, Katsunori
Kamata, Hirofumi
Nagata, Hiromasa
Homma, Koichiro
Kaneko, Yuko
Ishii, Makoto
Sasaki, Junichi
Morisaki, Hiroshi
Hasegawa, Naoki
Fukunaga, Koichi
The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia
title The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia
title_full The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia
title_fullStr The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia
title_full_unstemmed The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia
title_short The real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia
title_sort real-time reverse transcription-polymerase chain reaction threshold cycle values for severe acute respiratory syndrome coronavirus 2 predict the prognosis of coronavirus disease 2019 pneumonia
topic Rapid Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843124/
https://www.ncbi.nlm.nih.gov/pubmed/33582075
http://dx.doi.org/10.1016/j.resinv.2020.12.011
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