Abstract:Objective To explore the relationship between the severity of novel coronavirus infection and arrhythmia or heart rate variability (HRV). Methods We selected 178 inpatients and 30 outpatients infected with novel coronavirus. According to the diagnosis results, the inpatients were divided into mild, medium, severe, and critical novel coronavirus infection groups. The baseline data, ECG, and outcomes of the four groups were compared; Logistic regression analysis was performed. HRV indexes were compared between these outpatients and inpatients. Results The incidences of first degree atrioventricular block (Ⅰ° AVB), abnormal Q-wave, and left ventricular high voltage (LVHV) in the critical novel coronavirus infection group are all higher than those in the other three groups while the incidences of Ⅰ° AVB and LVHV in the death group are both higher than those in the good outcome group (P < 0. 05). Univariate Logistic regression analysis shows that age, sex, LVHV and Ⅰ° AVB are related to the severity of novel coronavirus infection. Multivariate regression analysis reveals that age, prolonged QTc and Ⅰ° AVB are independent risk factors for the severity of novel coronavirus infection. The SDNN and trigonometric index of the outpatients are both higher than those of the inpatients (P < 0. 05). Conclusion ECG changes and HRV indexes are related to the severity of novel coronavirus infection, hospitalization rate and clinical outcome.