Cargando…

Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 −

OBJECTIVES: Because most severely ill patients with COVID-19 in our hospital showed zinc deficiency, we aimed to examine the relationship between the patient’s serum zinc level and severe cases of COVID-19. METHODS: Serum zinc <70 μg/dL was defined as the criterion for hypozincemia, and patients...

Descripción completa

Detalles Bibliográficos
Autores principales: Yasui, Yukako, Yasui, Hiroyuki, Suzuki, Kumiko, Saitou, Takako, Yamamoto, Yoshiki, Ishizaka, Toshihiko, Nishida, Kouji, Yoshihara, Shingo, Gohma, Iwao, Ogawa, Yoshihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476566/
https://www.ncbi.nlm.nih.gov/pubmed/32911042
http://dx.doi.org/10.1016/j.ijid.2020.09.008
_version_ 1783579726007238656
author Yasui, Yukako
Yasui, Hiroyuki
Suzuki, Kumiko
Saitou, Takako
Yamamoto, Yoshiki
Ishizaka, Toshihiko
Nishida, Kouji
Yoshihara, Shingo
Gohma, Iwao
Ogawa, Yoshihiko
author_facet Yasui, Yukako
Yasui, Hiroyuki
Suzuki, Kumiko
Saitou, Takako
Yamamoto, Yoshiki
Ishizaka, Toshihiko
Nishida, Kouji
Yoshihara, Shingo
Gohma, Iwao
Ogawa, Yoshihiko
author_sort Yasui, Yukako
collection PubMed
description OBJECTIVES: Because most severely ill patients with COVID-19 in our hospital showed zinc deficiency, we aimed to examine the relationship between the patient’s serum zinc level and severe cases of COVID-19. METHODS: Serum zinc <70 μg/dL was defined as the criterion for hypozincemia, and patients continuously with serum zinc <70 μg/dL were classified in the hypozincemia cohort. To evaluate whether hypozincemia could be a predictive factor for a critical illness of COVID-19, we performed a multivariate analysis by employing logistic regression analysis. RESULTS: Prolonged hypozincemia was found to be a risk factor for a severe case of COVID-19. In evaluating the relationship between the serum zinc level and severity of patients with COVID-19 by multivariate logistic regression analysis, critical illness can be predicted through the sensitivity and false specificity of a ROC curve with an error rate of 10.3% and AUC of 94.2% by only two factors: serum zinc value (P = 0.020) and LDH value (P = 0.026). CONCLUSIONS: Proper management of the prediction results in this study can contribute to establishing and maintaining a safe medical system, taking the arrival of the second wave, and the spread of COVID-19 in the future into consideration.
format Online
Article
Text
id pubmed-7476566
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
record_format MEDLINE/PubMed
spelling pubmed-74765662020-09-08 Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 − Yasui, Yukako Yasui, Hiroyuki Suzuki, Kumiko Saitou, Takako Yamamoto, Yoshiki Ishizaka, Toshihiko Nishida, Kouji Yoshihara, Shingo Gohma, Iwao Ogawa, Yoshihiko Int J Infect Dis Article OBJECTIVES: Because most severely ill patients with COVID-19 in our hospital showed zinc deficiency, we aimed to examine the relationship between the patient’s serum zinc level and severe cases of COVID-19. METHODS: Serum zinc <70 μg/dL was defined as the criterion for hypozincemia, and patients continuously with serum zinc <70 μg/dL were classified in the hypozincemia cohort. To evaluate whether hypozincemia could be a predictive factor for a critical illness of COVID-19, we performed a multivariate analysis by employing logistic regression analysis. RESULTS: Prolonged hypozincemia was found to be a risk factor for a severe case of COVID-19. In evaluating the relationship between the serum zinc level and severity of patients with COVID-19 by multivariate logistic regression analysis, critical illness can be predicted through the sensitivity and false specificity of a ROC curve with an error rate of 10.3% and AUC of 94.2% by only two factors: serum zinc value (P = 0.020) and LDH value (P = 0.026). CONCLUSIONS: Proper management of the prediction results in this study can contribute to establishing and maintaining a safe medical system, taking the arrival of the second wave, and the spread of COVID-19 in the future into consideration. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-11 2020-09-07 /pmc/articles/PMC7476566/ /pubmed/32911042 http://dx.doi.org/10.1016/j.ijid.2020.09.008 Text en © 2020 The Author(s) 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 Article
Yasui, Yukako
Yasui, Hiroyuki
Suzuki, Kumiko
Saitou, Takako
Yamamoto, Yoshiki
Ishizaka, Toshihiko
Nishida, Kouji
Yoshihara, Shingo
Gohma, Iwao
Ogawa, Yoshihiko
Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 −
title Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 −
title_full Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 −
title_fullStr Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 −
title_full_unstemmed Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 −
title_short Analysis of the predictive factors for a critical illness of COVID-19 during treatment - relationship between serum zinc level and critical illness of COVID-19 −
title_sort analysis of the predictive factors for a critical illness of covid-19 during treatment - relationship between serum zinc level and critical illness of covid-19 −
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476566/
https://www.ncbi.nlm.nih.gov/pubmed/32911042
http://dx.doi.org/10.1016/j.ijid.2020.09.008
work_keys_str_mv AT yasuiyukako analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT yasuihiroyuki analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT suzukikumiko analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT saitoutakako analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT yamamotoyoshiki analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT ishizakatoshihiko analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT nishidakouji analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT yoshiharashingo analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT gohmaiwao analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19
AT ogawayoshihiko analysisofthepredictivefactorsforacriticalillnessofcovid19duringtreatmentrelationshipbetweenserumzinclevelandcriticalillnessofcovid19