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 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.
【저자키워드】 COVID-19, Critical illness, Predictive Factors, Japan, Serum zinc, Logistic regression analysis, 【초록키워드】 severity, hospital, LDH, risk factor, serum, sensitivity, specificity, Cohort, management, Patient, second wave, Critical, Prolonged, Analysis, ROC Curve, AUC, Safe, Predictive, deficiency, multivariate logistic regression, Severe case, criterion, error rate, medical system, objective, spread of COVID-19, Result, defined, predicted, performed, evaluate, contribute, patients with COVID-19, severely ill patient, with COVID-19, 【제목키워드】 Treatment, serum, Critical, Predictive, Factor,