Electrocardiographic parameters and mortality in patients with SARS-CoV-2 infection: A single center study.

Autor: Karbalaie Esmaeilzad S; School of Medicine, Babol University of Medical sciences, Babol, Iran., Hedayati MT; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Ziaie N; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Shirafkan H; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Social Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran., Jalali F; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Jafaripoor I; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Amin K; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Pourkia R; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Jabbary Z; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Abroutan S; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran., Saravi M; Clinical Research Development Unit of Ayatollah Rouhani Hospital, Babol University of Medical Sciences, Babol, Iran.; Department of Cardiology, School of Medicine, Babol University of Medical Sciences, Babol, Iran.
Jazyk: angličtina
Zdroj: Caspian journal of internal medicine [Caspian J Intern Med] 2024 Summer; Vol. 15 (3), pp. 444-450.
DOI: 10.22088/cjim.15.3.444
Abstrakt: Background: Coronavirus disease 2019 (COVID-19) is a pandemic outbreak of RNA coronaviruses (SARS-CoV-2), associated with acute respiratory distress syndrome, multiple organ failure, and death. The surface electrocardiogram is the first line assessment of cardiac electrical system. We aimed to interpret classically the electrocardiographic parameters at admission and during hospital course and association of them with prognosis in patients admitted with diagnosis of infection with SARS-CoV-2.
Methods: Surface electrocardiograms (ECG) were obtained from 180 patients with SARS-CoV-2 infection at a large tertiary referral university hospital at north of Iran in Babol. The electrocardiographic waves, intervals and segments in addition to supraventricular and ventricular arrhythmias were depicted. Our cohort included two groups: discharged alive and dead during the hospital course. We compared the ECG characteristics of patients who died vs. survived ones.
Results: Some ECG parameters of 180 hospitalized patients were significantly associated with mortality, like heart rate (p< 0.001), bundle branch block (P= 0.035), fragmented QRS (P= 0.015), ST elevation (P= 0.004), T p-e duration (P= 0.006), premature atrial and ventricular complexes (P= 0.030, P= 0.004) and atrial fibrillation (P= 0.003).
Conclusion: The SARS-CoV-2 infection had several impacts on cardiac electrical system which may monitored with a simple and easily accessible tool like ECG. This tool also helpful in the risk stratification of patients.
Competing Interests: None declared.
(© The Author(s).)
Databáze: MEDLINE