Incident Atrial Fibrillation and In-Hospital Mortality in SARS-CoV-2 Patients

Non-traditional risk factors for atrial fibrillation: epidemiology, mechanisms, and strategies

Atrial fibrillation (AF) has become the pre-dominant arrhythmia worldwide and is associated with high morbidity and mortality. Its pathogenesis is intricately linked to the deleterious impact of cardiovascular risk factors, emphasizing the pivotal imperative for early detection and mitigation strategies targeting these factors for the prevention of primary AF. While traditional risk factors are well recognized, an increasing number of novel risk factors have been identified in recent decades. This review explores the emerging non-traditional risk factors for the primary prevention of AF, including unhealthy lifestyle factors in current society (sleep, night shift work, and diet), biomarkers (gut microbiota, hyperuricaemia, and homocysteine), adverse conditions or diseases (depression, epilepsy, clonal haematopoiesis of indeterminate potential, infections, and asthma), and environmental factors (acoustic pollution and other environmental factors). Unlike traditional risk factors, individuals have limited control over many of these non-traditional risk factors, posing challenges to conventional prevention strategies. The purpose of this review is to outline the current evidence on the associations of non-traditional risk factors with new-onset AF and the potential mechanisms related to these risk factors. Furthermore, this review aims to explore potential interventions targeting these risk factors at both the individual and societal levels to mitigate the growing burden of AF, suggesting guideline updates for primary AF prevention.

Predictors and Clinical Significance of Myocardial Injury in Elderly Patients Under the COVID-19 Pandemic

Background

The elderly patients are at increased high risk of myocardial injury and mortality after the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. This study aims to investigate the prevalence, predictors and prognostic implications of myocardial injury in the elderly patients with SARS-CoV-2 infection.

Methods

Patients aged over 65 years were consecutively recruited between April to May, 2022. Myocardial injury was assessed using the high-sensitivity cardiac troponin T (hs-cTnT) assay. The primary endpoint was in-hospital mortality.

Results

A total of 347 patients were recruited with a median age of 81 years. 45.8% were male and 18 (5.2%) deceased before discharge. Myocardial injury (hs-cTnT over 99% upper reference limit [URL]) was detected in 202 (58.2%) of patients. Predictors of myocardial injury included age (per 5-year increase), hypertension, vaccination, creatine, and neutrophil-to-lymphocyte ratio. hs-cTnT over 3 × URL was independently correlated with in-hospital mortality (adjusted odds ratio [adOR], 13.21; 95% confidence interval [CI], 2.11-87.1; p = 0.005) in comparison to hs-cTnT > URL (adOR, 0.66; 95% CI, 0.09-5.92; p = 0.680).

Conclusion

Myocardial injury was a common phenomenon and prognostic predictor in elder patients after SARS-CoV-2 infection. Higher threshold of myocardial injury may be considered to improve risk stratification.

A systematic review and meta-analysis of new-onset atrial fibrillation in the context of COVID-19 infection

New-onset atrial fibrillation (NOAF) in COVID-19 raises significant clinical and public health issues. This systematic review and meta-analysis aims to compile and analyze the current literature on NOAF in COVID-19 and give a more comprehensive understanding of the prevalence and outcomes of NOAF in COVID-19. A comprehensive literature search was carried out using several databases. The random effect model using inverse variance method and DerSimonian and Laird estimator of Tua2 was used to calculate the pooled prevalence and associated 95% confidence interval (CI). Results for outcome analysis were presented as odds ratios (ORs) with 95% CI and pooled using the Mantel-Haenszel random-effects model. The pooled prevalence of NOAF in COVID-19 was 7.8% (95% CI: 6.54%-9.32%),a pooled estimate from 30 articles (81 929 COVID-19 patients). Furthermore, our analysis reported that COVID-19 patients with NOAF had a higher risk of developing severe disease compared with COVID-19 patients without a history of atrial fibrillation (OR = 4.78, 95% CI: 3.75-6.09) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR = 2.75, 95% CI: 2.10-3.59). Similarly, our analysis also indicated that COVID-19 patients with NOAF had a higher risk of all-cause mortality compared with, COVID-19 patients without a history of atrial fibrillation (OR = 3.83, 95% CI: 2.99-4.92) and COVID-19 patients with a history of pre-existing atrial fibrillation (OR = 2.32, 95% CI: 1.35-3.96). The meta-analysis did not reveal any significant publication bias. The results indicate a strong correlation between NOAF and a higher risk of severe illness and mortality. These results emphasize the importance of careful surveillance, early detection, and customized NOAF management strategies to improve clinical outcomes for COVID-19 patients.

Elevated High Sensitivity Cardiac Troponin T is Nonlinearly Associated with Poor Prognosis in Aging COVID-19 Patients: A Retrospective Study

Objective

To evaluate the relationship between high-sensitivity cardiac troponin T (hs-cTnT) and prognosis in elderly patients with coronavirus disease 2019 (COVID-19).

Methods

This study recruited 1399 COVID-19 patients aged 65 years or older admitted to Taizhou Hospital or Enze Hospital in Zhejiang Province from December 15, 2022, to January 4, 2023. The Cox regression model was used to evaluate the relationship between hs-cTnT level and in-hospital death. The logistic regression model was used to evaluate the relationship between hs-cTnT level and major adverse events. The restricted cubic spline (RCS) model is used for nonlinear analysis.

Results

The increase of peak hs-cTnT was associated with the increased risk of death (HR 9.49; 95% CI 1.19-75.48; trend p = 0.012) and major adverse events (OR 20.59; 95% CI 10.41-40.71; trend p < 0.001). RCS model showed the association between peak hs-cTnT and death and major adverse events were nonlinear (P for non-line < 0.001). Starting from the limit of quantification of hs-cTnT (3ng/L), the risk of death and major adverse events had a steep S-shaped increase until hs-cTnT reached the 90th percentile point (hs-cTnT = 131 ng/L), followed by a plateau period. Peak hs-cTnT has good predictive value for death and major adverse events, with AUC of 0.834 and 0.804, respectively.

Conclusion

Peak hs-cTnT has high predictive value for the risk of in-hospital death and major adverse events in elderly patients with COVID-19. The association between peak hs-cTnT and death and major adverse events were nonlinear.

Association of COVID-19 with short- and long-term risk of cardiovascular disease and mortality: a prospective cohort in UK Biobank

AIMS

This study aims to evaluate the short- and long-term associations between COVID-19 and development of cardiovascular disease (CVD) outcomes and mortality in the general population.

METHODS AND RESULTS

A prospective cohort of patients with COVID-19 infection between 16 March 2020 and 30 November 2020 was identified from UK Biobank, and followed for up to 18 months, until 31 August 2021. Based on age (within 5 years) and sex, each case was randomly matched with up to 10 participants without COVID-19 infection from two cohorts-a contemporary cohort between 16 March 2020 and 30 November 2020 and a historical cohort between 16 March 2018 and 30 November 2018. The characteristics between groups were further adjusted with propensity score-based marginal mean weighting through stratification. To determine the association of COVID-19 with CVD and mortality within 21 days of diagnosis (acute phase) and after this period (post-acute phase), Cox regression was employed. In the acute phase, patients with COVID-19 (n = 7584) were associated with a significantly higher short-term risk of CVD {hazard ratio (HR): 4.3 [95% confidence interval (CI): 2.6- 6.9]; HR: 5.0 (95% CI: 3.0-8.1)} and all-cause mortality [HR: 81.1 (95% CI: 58.5-112.4); HR: 67.5 (95% CI: 49.9-91.1)] than the contemporary (n = 75 790) and historical controls (n = 75 774), respectively. Regarding the post-acute phase, patients with COVID-19 (n = 7139) persisted with a significantly higher risk of CVD in the long-term [HR: 1.4 (95% CI: 1.2-1.8); HR: 1.3 (95% CI: 1.1- 1.6)] and all-cause mortality [HR: 5.0 (95% CI: 4.3-5.8); HR: 4.5 (95% CI: 3.9-5.2) compared to the contemporary (n = 71 296) and historical controls (n = 71 314), respectively.

CONCLUSIONS

COVID-19 infection, including long-COVID, is associated with increased short- and long-term risks of CVD and mortality. Ongoing monitoring of signs and symptoms of developing these cardiovascular complications post diagnosis and up till at least a year post recovery may benefit infected patients, especially those with severe disease.

Impact of atrial fibrillation and anticoagulation on the risk of death, thromboembolic disease and bleeding in patients with COVID-19: the ACO-VID Registry

OBJECTIVE

To describe the clinical profile, risk of complications and impact of anticoagulation in COVID-19 hospitalized patients, according to the presence of atrial fibrillation (AF).

METHODS

Multicenter, retrospective, and observational study that consecutively included patients >55 years admitted with COVID-19 from March to October 2020. In AF patients, anticoagulation was chosen based on clinicians' judgment. Patients were followed-up for 90 days.

RESULTS

A total of 646 patients were included, of whom 75.2% had AF. Overall, mean age was 75 ± 9.1 years and 62.4% were male. Patients with AF were older and had more comorbidities. The most common anticoagulants used during hospitalization in patients with AF were edoxaban (47.9%), low molecular weight heparin (27.0%), and dabigatran (11.7%) and among patients without AF, these numbers were 0%, 93.8% and 0%. Overall, during the study period (68 ± 3 days), 15.2% of patients died, 8.2% of patients presented a major bleeding and 0.9% had a stroke/systemic embolism. During hospitalization, patients with AF had a higher risk of major bleeding (11.3% vs 0.7%; p < .01), COVID-19-related deaths (18.0% vs 4.5%; p = .02), and all-cause deaths (20.6% vs 5.6%; p = .02). Age (HR 1.5; 95% CI 1.0-2.3) and elevated transaminases (HR 3.5; 95% CI 2.0-6.1) were independently associated with all-cause mortality. AF was independently associated with major bleeding (HR 2.2; 95% CI 1.1-5.3).

CONCLUSIONS

Among patients hospitalized with COVID-19, patients with AF were older, had more comorbidities and had a higher risk of major bleeding. Age and elevated transaminases during hospitalization, but not AF nor anticoagulant treatment increased the risk of all-cause death.

The potential role of SARS-CoV-2 infection in acute coronary syndrome and type 2 myocardial infarction (T2MI): Intertwining spread

Coronavirus disease 2019 (COVID-19) is a novel pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It has been shown that SARS-CoV-2 infection-induced inflammatory and oxidative stress and associated endothelial dysfunction may lead to the development of acute coronary syndrome (ACS). Therefore, this review aimed to ascertain the link between severe SARS-CoV-2 infection and ACS. ACS is a spectrum of acute myocardial ischemia due to a sudden decrease in coronary blood flow, ranging from unstable angina to myocardial infarction (MI). Primary or type 1 MI (T1MI) is mainly caused by coronary plaque rupture and/or erosion with subsequent occlusive thrombosis. Secondary or type 2 MI (T2MI) is due to cardiac and systemic disorders without acute coronary atherothrombotic disruption. Acute SARS-CoV-2 infection is linked with the development of nonobstructive coronary disorders such as coronary vasospasm, dilated cardiomyopathy, myocardial fibrosis, and myocarditis. Furthermore, SARS-CoV-2 infection is associated with systemic inflammation that might affect coronary atherosclerotic plaque stability through augmentation of cardiac preload and afterload. Nevertheless, major coronary vessels with atherosclerotic plaques develop minor inflammation during COVID-19 since coronary arteries are not initially and primarily targeted by SARS-CoV-2 due to low expression of angiotensin-converting enzyme 2 in coronary vessels. In conclusion, SARS-CoV-2 infection through hypercytokinemia, direct cardiomyocyte injury, and dysregulation of the renin-angiotensin system may aggravate underlying ACS or cause new-onset T2MI. As well, arrhythmias induced by anti-COVID-19 medications could worsen underlying ACS.