Author: Yasui, Yukako; Yasui, Hiroyuki; Suzuki, Kumiko; Saitou, Takako; Yamamoto, Yoshiki; Ishizaka, Toshihiko; Nishida, Kouji; Yoshihara, Shingo; Gohma, Iwao; Ogawa, Yoshihiko
Title: Analysis of the predictive factors for critical illness of COVID-19 during treatment - Relationship between serum zinc level and critical illness of COVID-19 Cord-id: c0ipfbeg Document date: 2020_9_7
ID: c0ipfbeg
Snippet: • Close relationship is found between low serum zinc and severe states of COVID-19. • Hypozincemia critically contributes to aggravation of COVID-19. • Serum zinc level can be predictive factor for critical illness of COVID-19. • We would recommend oral medication of zinc salts to patients with COVID-19. 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 leve
Document: • Close relationship is found between low serum zinc and severe states of COVID-19. • Hypozincemia critically contributes to aggravation of COVID-19. • Serum zinc level can be predictive factor for critical illness of COVID-19. • We would recommend oral medication of zinc salts to patients with COVID-19. 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-19 in the future into consideration.
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