Analysis of the predictive factors for critical illness of COVID-19 during treatment - Relationship between serum zinc level and critical illness of COVID-19
Date
2020Author
Yasui, Yukako
Yasui, Hiroyuki
Suzuki, Kumiko
Saitou, Takako
Yamamoto, Yoshiki
Ishizaka, Toshihiko
Nishida, Kouji
Yoshihara, Shingo
Gohma, Iwao
Ogawa, Yoshihiko
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Abstract
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 critical illness of COVID-19, we performed
the 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 an 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 the
establishment and maintenance of a safe medical system, taking the arrival of the second wave and
spread of COVID Journal Pre-proof
-19 in the future into consideration.
Palabras clave
COVID-19; Serum Zinc; Predictive Factors; Logistic Regression Analysis; Critical Illness; JapanLink to resource
https://doi.org/10.1016/j.ijid.2020.09.008Collections
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