Cardiac Arrhythmias in Patients with COVID-19: A Systematic review and Meta-analysis
Hamam, O.; Goda, A.; Eldalal, M.; Ussama, A.; Elmandouh, O.; Fahmy, M.; Elyamany, K.; Ikram, W.; Mahdy, A.; Bhandari, R.; Asal, H.; Egbe, A.
Show abstract
BackgroundCardiac arrhythmia cannot be overlooked in patients with coronavirus disease 2019 (COVID-19) as it carries a great influence on the outcomes. Hence, this study aimed to build concrete evidence regarding the incidence of cardiac arrhythmia in patients with COVID-19. MethodsWe performed a systematic search for trusted databases/search engines including PubMed, Scopus, Cochrane library and web of science. After screening, the relevant data were extracted and the incidences from the different included studies were pooled for meta-analysis. ResultsNine studies were finally included in our study consisting of 1445 patients. The results of meta-analysis showed that the incidence of arrhythmia in patients with COVID-19 was 19.7% with 95% confidence interval (CI) ranging from 11.7 to 27.6%. There was also a significant heterogeneity (I2{square}={square}94.67%). ConclusionCardiac arrhythmias were highly frequent in patients with COVID-19 and observed in 19.7% of them. Appropriate monitoring by electrocardiogram with accurate and early identification of arrhythmias is important for better management and outcomes. HighlightsO_LICardiac arrhythmia cannot be overlooked in patients with coronavirus disease 2019 (COVID-19) as it carries a great influence on the outcomes. C_LIO_LIThis study aimed to build concrete evidence regarding the incidence of cardiac arrhythmia in patients with COVID-19. C_LIO_LICardiac arrhythmias were highly frequent in patients with COVID-19 and observed in 19.7% of them. C_LIO_LIAppropriate monitoring by electrocardiogram with accurate and early identification of arrhythmias is important for better management and outcomes. C_LI
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Impact of transseptal puncture location on the fossa ovalis on first-pass pulmonary vein isolation 94%
- Procedural Volume and Outcomes with Atrial Fibrillation Ablation: A Report from the NCDR AFib Ablation Registry 93%
- Early Experience with Ivabradine for Focal Atrial Tachycardia in Pediatric Patients with Congenital Heart Disease 92%
Similar papers in this journal
- The Impact of Continuous Positive Airway Pressure Therapy on the Recurrence of Atrial Fibrillation in Patients with Obstructive Sleep Apnea after pulmonary vein isolation 94%
- Heart Rate n-Variability (HRnV) and Its Application to Risk Stratification of Chest Pain Patients in the Emergency Department 93%
- Death Incidents Following Transcatheter Edge-to-Edge Repair (TEER) With the MitraClip Device: Analysis of Post-marketing Death Reports From the Manufacturer and User Facility Device Experience (MAUDE) Registry 92%
Similar papers in this journal
- Predictors and outcomes of Cardiac Dyssynchrony among patients with heart failure attending Benjamin Mkapa Hospital in Dodoma, central Tanzania: A protocol of prospective-longitudinal study 94%
- Predicting factors for long-term survival in patients with out-of-hospital cardiac arrest - a propensity score-matched analysis 93%
- Predictors of successful weaning from Veno-Arterial Extracorporeal Membrane Oxygenation (V-A ECMO): A Systematic Review and Meta-analysis 93%
Similar papers in this journal
- Association of the medical therapy with beta-blockers or inhibitors of renin-angiotensin system with clinical outcomes in patients with mildly reduced left ventricular ejection fraction after acute myocardial infarction 92%
- Decreased door-to-balloon time in patients with ST-segment elevation myocardial infarction during the early COVID-19 pandemic in South Korea – an observational study 92%
- Combination therapy of Tocilizumab and steroid for management of COVID-19 associated cytokine release syndrome: A single center experience from Pune, Western India 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.