Background Coronavirus Disease 2019 (COVID-19) results in increased inflammatory markers previously associated with atrial arrhythmias. However, little is known about their incidence or specificity in COVID-19, or their association with outcomes. We determined the incidence, predictors and outcomes of atrial fibrillation or flutter (AF/AFL) in patients hospitalized with COVID-19, or hospitalized with Influenza. Methods This is a retrospective analysis of 3,970 patients admitted with PCR-positive COVID-19 between 2/4/2020-4/22/2020 with manual review performed of 1,110. The comparator arm included 1,420 patients with influenza hospitalized between 1/1/2017-1/1/2020. Results Among 3970 inpatients with COVID-19, the incidence of AF/AFL was 10% (N=375) and in patients without a history of atrial arrhythmias, 4% (N=146). Patients with new-onset AF/AFL were older with increased inflammatory markers including Interleukin-6 (93 vs 68 pg/ml, P<0.01), and more myocardial injury (Troponin-I: 0.2 vs 0.06ng/ml, P<0.01). AF/AFL were associated with increased mortality (46% vs 26%, P<0.01). Manual review captured a somewhat higher incidence of AF/AFL (13%, N=140). Compared to inpatients with COVID-19, patients with Influenza (N=1420) had similar rates of AF/AFL (12%, n=163) but lower mortality. The presence of AF/AFL correlated with similarly increased mortality in both COVID-19 (RR 1.77) and Influenza (RR 1.78). Conclusions AF/AFL occurs in a subset of patients hospitalized with either COVID-19 or Influenza, and is associated with inflammation and disease severity in both infections. The incidence and associated increase in mortality in both cohorts suggests that AF/AFL in not specific to COVID-19, but is rather a generalized response to the systemic inflammation of severe viral illnesses.
Background Sleep disturbance caused by obstructive sleep apnea is recognized as a contributing factor to adverse cardiovascular outcomes. However, the effect of restless legs syndrome (RLS), another common cause of fragmented sleep, on cardiac structure, function and long-term outcomes is not known. We assessed the effect of frequent leg movement during sleep on cardiac structure and outcomes in patients with RLS. Methods In our retrospective study, RLS patients referred for polysomnography were divided into those with frequent (periodic movement index >35/hour) and infrequent (≤35/hour) leg movement during sleep. Long-term outcomes were determined using Kaplan-Meier and logistic regression models. Results Of 584 patients, 47% had periodic movement index >35/hour. Despite similarly preserved left ventricular ejection fraction, the group with periodic movement index >35/hour had significantly higher left ventricular mass and mass index reflective of left ventricular hypertrophy (LVH). There were no significant baseline differences in the proportion of patients with hypertension, diabetes, hyperlipidemia, prior myocardial infarction, stroke or heart failure or use of antihypertensive medications between the groups. Patients with frequent periodic movement index were older, predominantly male and had more prevalent coronary artery disease and atrial fibrillation. However, on multivariate analysis, periodic movement index >35/hour remained the strongest predictor for LVH (odds ratio 2.45, 95% confidence interval 1.67–3.59, P<0.001). Advanced age, female sex and apnea-hypopnea index were other predictors for LVH. Patients with periodic movement index >35/hour had significantly higher heart failure and mortality rates over 33-month median follow-up. Conclusions Frequent periodic leg movement during sleep is an independent predictor of severe LVH and associated with increased cardiovascular morbidity and mortality.
Introduction: Recent studies have described several cardiovascular manifestations of COVID-19 including myocardial ischemia, myocarditis, thromboembolism, and malignant arrhythmias. However, to our knowledge, syncope in COVID-19 patients has not been systematically evaluated. We sought to characterize syncope and/or presyncope in COVID-19. Methods: This is a retrospective analysis of consecutive patients hospitalized with laboratory-confirmed COVID-19 with either syncope or presyncope. This "study" group (n = 37) was compared with an age and gender-matched cohort of patients without syncope ("control") (n = 40). Syncope was attributed to various categories. We compared telemetry data, treatments received, and clinical outcomes between the two groups. Results: Among 1000 COVID-19 patients admitted to the Mount Sinai Hospital, the incidence of syncope/presyncope was 3.7%. The median age of the entire cohort was 69 years (range 26-89+ years) and 55% were men. Major comorbidities included hypertension, diabetes, and coronary artery disease. Syncopal episodes were categorized as (a) unspecified in 59.4% patients, (b) neurocardiogenic in 15.6% patients, (c) hypotensive in 12.5% patients, and (d) cardiopulmonary in 3.1% patients with fall versus syncope and seizure versus syncope in 2 of 32 (6.3%) and 1 of 33 (3.1%) patients, respectively. Compared with the "control" group, there were no significant differences in both admission and peak blood levels of d-dimer, troponin-I, and CRP in the "study" group. Additionally, there were no differences in arrhythmias or death between both groups. Conclusions: Syncope/presyncope in patients hospitalized with COVID-19 is uncommon and is infrequently associated with a cardiac etiology or associated with adverse outcomes compared to those who do not present with these symptoms.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.