Left atrial (LA) diameter is a predictor of atrial fibrillation (AF) recurrence following radiofrequency catheter ablation (RFA). However, LA volume (LAV) is more accurate in assessing LA size. Studies evaluating LAV as a predictor of AF recurrence are contradictory; therefore, we performed a meta-analysis to assess whether LAV is an independent predictor of AF recurrence following RFA. All studies reporting LAV/LAV index (LAVi) as a predictor of AF recurrence following RFA were included. For studies reporting mean LAV/ LAVi in patients with and without AF recurrence, standard difference in means (SDM) and standard errors were calculated, and combined using meta-analytical techniques. For studies reporting adjusted odds ratio (OR) for AF recurrence based on LAV/LAVi, log ORs were combined using generic inverse variance. Twenty one studies (3822 subjects) were included. Meta-analysis of 11 studies (1559 subjects) reporting LAV, showed that patients with AF recurrence had a higher mean LA volume compared to patients with no recurrence (SDM 0.801; CI 0.387–1.216). Data from 9 studies (1425 subjects) comparing LAVi showed that, patients with AF recurrence had a higher mean LAVi compared to patients with no recurrence (SDM-0.596; CI 0.305–0.888). Thirteen studies (2886 patients) reporting ORs for AF recurrence based on LAV/ LAVi, showed that LAV/LAVi was independently predictive of AF recurrence post-RFA (OR-1.032, CI- 1.012–1.052). Patients with AF recurrence following RFA have a higher mean LAV/LAVi compared to patients with no recurrence. Large LAV/LAVi increases the odds of AF recurrence post RFA.

Nonmedical use of prescription and nonprescription drugs is a worldwide epidemic, rapidly growing in magnitude with deaths because of overdose and chronic use. A vast majority of these drugs are stimulants that have various effects on the cardiovascular system including the cardiac rhythm. Drugs, like cocaine and methamphetamine, have measured effects on the conduction system and through several direct and indirect pathways, utilizing multiple second messenger systems, change the structural and electrical substrate of the heart, thereby promoting cardiac dysrhythmias. Substituted amphetamines and cocaine affect the expression and activation kinetics of multiple ion channels and calcium signaling proteins resulting in EKG changes, and atrial and ventricular brady and tachyarrhythmias. Preexisting conditions cause substrate changes in the heart, which decrease the threshold for such drug-induced cardiac arrhythmias. The treatment of cardiac arrhythmias in patients who take drugs of abuse may be specialized and will require an understanding of the unique underlying mechanisms and necessitates a multidisciplinary approach. The use of primary or secondary prevention defibrillators in drug abusers with chronic systolic heart failure is both sensitive and controversial. This review provides a broad overview of cardiac arrhythmias associated with stimulant substance abuse and their management.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is involved in a global outbreak affecting millions of people who manifest a variety of symptoms. Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 is increasingly associated with cardiovascular complications requiring hospitalizations; however, the mechanisms underlying these complications remain unknown. Nitric oxide (NO) and hydrogen sulfide (H2S) are gasotransmitters that regulate key cardiovascular functions. Blood samples were obtained from 68 COVID-19 patients and 33 controls and NO and H2S metabolites were assessed. H2S and NO levels were compared between cases and controls in the entire study population and subgroups based on race. The availability of gasotransmitters was examined based on severity and outcome of COVID-19 infection. The performance of H2S and NO levels in predicting COVID-19 infection was also analyzed. Multivariable regression analysis was performed to identify the effects of traditional determinants of gasotransmitters on NO and H2S levels in the patients with COVID-19 infection. Significantly reduced NO and H2S levels were observed in both Caucasian and African American COVID-19 patients compared to healthy controls. COVID-19 patients who died had significantly higher NO and H2S levels compared to COVID-19 patients who survived. Receiver-operating characteristic analysis of NO and H2S metabolites in the study population showed free sulfide levels to be highly predictive of COVID-19 infection based on reduced availability. Traditional determinants of gasotransmitters, namely age, race, sex, diabetes, and hypertension had no effect on NO and H2S levels in COVID-19 patients. These observations provide the first insight into the role of NO and H2S in COVID-19 infection, where their low availability may be a result of reduced synthesis secondary to endotheliitis, or increased consumption from scavenging of reactive oxygen species.

Multiple Biomarkers have recently been shown to be elevated in COVID-19, a respiratory infection with multi-organ dysfunction; however, information regarding the prognostic value of cardiac biomarkers as it relates to disease severity and cardiac injury are inconsistent. The goal of this meta-analysis was to summarize the evidence regarding the prognostic relevance of cardiac biomarkers from data available in published reports. PubMed, Embase and Web of Science were searched from inception through April 2020 for studies comparing median values of cardiac biomarkers in critically ill versus non-critically ill COVID-19 patients, or patients who died versus those who survived. The weighted mean differences (WMD) and 95% confidence interval (CI) between the groups were calculated for each study and combined using a random effects meta-analysis model. The odds ratio (OR) for mortality based on cardiac injury was combined from studies reporting it. Troponin levels were significantly higher in COVID-19 patients who died or were critically ill versus those who were alive or not critically ill (WMD 0.57, 95% CI 0.43–0.70, p < 0.001). Additionally, BNP levels were also significantly higher in patients who died or were critically ill (WMD 0.45, 95% CI − 0.21–0.69, p < 0.001). Cardiac injury was independently associated with significantly increased odds of mortality (OR 6.641, 95% CI 1.26–35.1, p = 0.03). A significant difference in levels of D-dimer was seen in those who died or were critically ill. CK levels were only significantly higher in those who died versus those who were alive (WMD 0.79, 95% CI 0.25–1.33, p = 0.004). Cardiac biomarkers add prognostic value to the determination of the severity of COVID-19 and can predict mortality.

Background: The association of atrial fibrillation (AF) with cancer and cancer types is inconclusive. Similarly, data regarding the association of AF with different cancer therapies are controversial.Objectives: To study the association of AF with cancer subtypes and cancer therapies.Methods: We studied all patients aged 18–89 years who presented to the Feist Weiller Cancer Center, with or without a diagnosis of cancer, between January 2011 and February 2016. Electronic health records were systematically queried for baseline demographics and ICD-9 and ICD-10 codes for specific co-morbidities. Patients with a diagnosis of AF were tabulated based on cross-validation with the ECG database and/or by recorded history. We assessed the prevalence and risk of AF based on cancer diagnosis, specific cancer type, and cancer therapy.Results: A total of 14,600 patients were analyzed. Compared to non-cancer patients (n = 6,801), cancer patients (n = 7,799) had a significantly higher prevalence of AF (4.3 vs. 3.1%; p < 0.001). However, following correction for covariates in a multivariable logistic regression model, malignancy was not found to be an independent risk factor for AF (p = 0.32). While patients with solid tumors had a numerically higher prevalence of AF than those with hematological malignancies (4.3 vs. 4.1%), tumor type was not independently associated with AF (p = 0.13). AF prevalence was higher in patients receiving chemotherapy (4.1%), radiation therapy (5.1%), or both (6.9%) when compared to patients not receiving any therapy (3.6%, p = 0.01). On multivariable logistic regression, radiation therapy remained an independent risk factor for AF for the entire study population (p = 0.03) as well as for the cancer population (p < 0.01).Conclusions: Radiation therapy for cancer is an independent risk factor for AF. The known association between cancer and AF may be mediated, at least in part, by the effects of radiation therapy.