Risk factors and electrocardiogram characteristics for mortality of critical inpatients with COVID-19

Abstract

Background The novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has subsequently spread worldwide. The number of death has increased rapidly. However, the possible risk factors that lead to death in critical inpatients with coronavirus disease 2019 (COVID-19) are not yet fully known. This study was to explore the risk factors for mortality of critical inpatients with COVID-19. Methods In this single-centered, retrospective study, we enrolled 113 critical patients with COVID-19 in Renmin Hospital of Wuhan University between Feb 1, 2020 and Mar 15, 2020. Data were collected using a standard method including clinical records and laboratory findings. Outcomes of survivors and death were compared. Results A total of 113 critical patients (from 29 to 95 years) with COVID-19 were recruited, 50 (44.25%) died and 63 recovered (55.75%). The proportion of patients with ventricular arrhythmia was higher in the death group than the recovery group (24.0% vs 4.4%; p = 0.021), and was higher among myocardial damage cases than non-myocardial damage cases (26.1% vs 4.3%; p = 0.013). Multivariate analysis confirmed four independent predictors related to mortality of COVID-19: age > 70 yrs (HR 1.84, 95% CI 1.03–3.28), initial neutrophil count more than 6.5 × 109/L (HR 3.43, 95% CI 1.84–6.40), C-reactive protein greater more than 100 mg/L (HR 1.93, 95% CI 1.04–3.59), and lactate dehydrogenase more than 300 U/L (HR 2.90, 95% CI 1.26–6.67). Immunoglobulin treatment (HR 0.39, 95% CI 0.21–0.73) can reduce the risk of death. There was no significant difference in the QT interval between patients with and without hydroxychloroquine treatment. Conclusions Old age (> 70 years), neutrophilia, C-reactive protein greater more than 100 mg/L and lactate dehydrogenase more than 300 U/L are high-risk factors for mortality of critical patients with COVID-19. The incidence of ventricular arrhythmia was higher in deceased patients than survivors.

ST-based Deep Learning Analysis of COVID-19 Patients

“…Also, Pranata et al [13] confirm that ST-segment depression in the ECG of patients may be the first manifestation of this virus. In another work, Bangalore et al [14] The ease and affordability of this type of exploration, including in poor regions of the world, justifies the interest of this type of study, which contributes to the rapid management of patients. The cited works have well demonstrated the influence of COVID-19 on the cardiovascular system, but does not present the identification process that would allow their adaptation in personalized health systems.…”

“…Covid identification Use of ST [9] Manual [11] Manual  [14] Manual  [16] Manual [17] Manual  [18] Manual Our approach…”

The clinical implications of sinus tachycardia in mild COVID-19 infection: A retrospective cohort study

“…4,5 Clinical observations have found sinus tachycardia to be the most common cardiac arrhythmia reported in COVID-19 pandemic. [6][7][8] However, despite the increased prevalence of sinus tachycardia among COVID-19 patients, the medical implications and underlying causes have not been well-addressed in current literature.…”