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
Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:100 |
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| Enthalten in: |
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases - 100(2020) vom: 08. Nov., Seite 230-236 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Yasui, Yukako [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 10.12.2020 Date Revised 10.06.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.ijid.2020.09.008 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM314832483 |
|---|
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| 024 | 7 | |a 10.1016/j.ijid.2020.09.008 |2 doi | |
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| 100 | 1 | |a Yasui, Yukako |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a 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 |
| 264 | 1 | |c 2020 | |
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| 500 | |a Date Completed 10.12.2020 | ||
| 500 | |a Date Revised 10.06.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2020 The Author(s). Published by Elsevier Ltd.. All rights reserved. | ||
| 520 | |a 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 | ||
| 520 | |a 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 | ||
| 520 | |a 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) | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Critical illness | |
| 650 | 4 | |a Japan | |
| 650 | 4 | |a Logistic regression analysis | |
| 650 | 4 | |a Predictive factors | |
| 650 | 4 | |a Serum zinc | |
| 650 | 7 | |a Zinc |2 NLM | |
| 650 | 7 | |a J41CSQ7QDS |2 NLM | |
| 700 | 1 | |a Yasui, Hiroyuki |e verfasserin |4 aut | |
| 700 | 1 | |a Suzuki, Kumiko |e verfasserin |4 aut | |
| 700 | 1 | |a Saitou, Takako |e verfasserin |4 aut | |
| 700 | 1 | |a Yamamoto, Yoshiki |e verfasserin |4 aut | |
| 700 | 1 | |a Ishizaka, Toshihiko |e verfasserin |4 aut | |
| 700 | 1 | |a Nishida, Kouji |e verfasserin |4 aut | |
| 700 | 1 | |a Yoshihara, Shingo |e verfasserin |4 aut | |
| 700 | 1 | |a Gohma, Iwao |e verfasserin |4 aut | |
| 700 | 1 | |a Ogawa, Yoshihiko |e verfasserin |4 aut | |
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