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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2020
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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 |
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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 |
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