Association of cannabis use disorder with cardiovascular diseases: A two-sample Mendelian randomization study

Cannabis use disorder increases risk of large-artery atherosclerotic stroke and migraine with aura through mendelian randomization study

Observational studies have shown some association between cannabis use disorder (CUD) and neurological disorders, but their causal relationship is unclear. In this study, we tested the potential causal relationship between CUD and three common neurological disorders using two-sample Mendelian randomization (TSMR) and multivariate MR (MVMR) methods. Thirty-two genetic loci were extracted as exposure factors from the largest genome-wide association study (GWAS) summary statistics for CUD to date. TSMR results showed that genetic prediction of CUD with all stroke, ischemic stroke, large-artery atherosclerotic stroke, migraine with aura, and Alzheimer's disease (AD) had a positive causal relationship (P < 0.05), which was not found in several other diseases. The association between CUD and stroke, ischemic stroke, and AD in the MVMR study may have been influenced by confounding factors (P > 0.05). Subgroup analyses highlighted a causal relationship between genetically predicted CUD and large-artery atherosclerotic stroke (OR = 1.169; 95%CI 1.030-1.328; P = 0.016) and migraine with aura (OR = 1.142; 95% 1.021-1.278; P = 0.020). Our further functional mapping and annotation enrichment analyses using FUMA suggest that the brain-gut axis may serve as another layer of explanation for the existence of an association between CUD and neurological disorders.

Association of cannabis use disorder with atrial fibrillation in young men without concomitant tobacco use: Insights from nationwide propensity matched analysis

BACKGROUND

Recent data are inconclusive regarding the risk of arrhythmias among young cannabis users. Furthermore, many young adults use both cannabis and tobacco, which could add a residual confounding effect on outcomes. So, we studied young men who have cannabis use disorder (CUD) excluding tobacco use disorder (TUD) to understand their independent association with atrial fibrillation (AF) and related outcomes.

AIM

To study the association of CUD with AF and related outcomes.

METHODS

We used weighted discharge records from National Inpatient Sample (2019) to assess the baseline characteristics and mortality rates for AF-related hospitalizations in young (18-44 years) men in 1:1 propensity-matched CUD + vs CUD- cohorts without TUD.

RESULTS

Propensity matched CUD + and CUD- cohorts consisted of 108495 young men in each arm. Our analysis showed an increased incidence of AF in black population with CUD. In addition, the CUD + cohort had lower rates of hyperlipidemia (6.4% vs 6.9%), hypertension (5.3% vs 6.3%), obesity (9.1% vs 10.9%), alcohol abuse (15.5% vs 16.9%), but had higher rates of anxiety (24.3% vs 18.4%) and chronic obstructive pulmonary disease (COPD) (9.8% vs 9.4%) compared to CUD-cohort. After adjustment with covariates including other substance abuse, a non-significant association was found between CUD + cohort and AF related hospitalizations (odd ratio: 1.27, 95% confidence interval: 0.91-1.78, P = 0.15).

CONCLUSION

Among hospitalized young men, the CUD + cohort had a higher prevalence of anxiety and COPD, and slightly higher proportion of black patients. Although there were higher odds of AF hospitalizations in CUD + cohort without TUD, the association was statistically non-significant. The subgroup analysis showed higher rates of AF in black patients. Large-scale prospective studies are required to evaluate long-term effects of CUD on AF risk and prognosis without TUD and concomitant substance abuse.

Genetic influences and causal pathways shared between cannabis use disorder and other substance use traits

Cannabis use disorder (CanUD) has increased with the legalization of the use of cannabis. Around 20% of individuals using cannabis develop CanUD, and the number of users has grown with increasing ease of access. CanUD and other substance use disorders (SUDs) are associated phenotypically and genetically. We leveraged new CanUD genomics data to undertake genetically-informed analyses with unprecedented power, to investigate the genetic architecture and causal relationships between CanUD and lifetime cannabis use with risk for developing SUDs and substance use traits. Analyses included calculating local and global genetic correlations, genomic structural equation modeling (genomicSEM), and Mendelian Randomization (MR). Results from the genetic correlation and genomicSEM analyses demonstrated that CanUD and cannabis use differ in their relationships with SUDs and substance use traits. We found significant causal effects of CanUD influencing all the analyzed traits: opioid use disorder (OUD) (Inverse variant weighted, IVW β = 0.925 ± 0.082), problematic alcohol use (PAU) (IVW β = 0.443 ± 0.030), drinks per week (DPW) (IVW β = 0.182 ± 0.025), Fagerström Test for Nicotine Dependence (FTND) (IVW β = 0.183 ± 0.052), cigarettes per day (IVW β = 0.150 ± 0.045), current versus former smokers (IVW β = 0.178 ± 0.052), and smoking initiation (IVW β = 0.405 ± 0.042). We also found evidence of bidirectionality showing that OUD, PAU, smoking initiation, smoking cessation, and DPW all increase risk of developing CanUD. For cannabis use, bidirectional relationships were inferred with PAU, smoking initiation, and DPW; cannabis use was also associated with a higher risk of developing OUD (IVW β = 0.785 ± 0.266). GenomicSEM confirmed that CanUD and cannabis use load onto different genetic factors. We conclude that CanUD and cannabis use can increase the risk of developing other SUDs. This has substantial public health implications; the move towards legalization of cannabis use may be expected to increase other kinds of problematic substance use. These harmful outcomes are in addition to the medical harms associated directly with CanUD.

Pulmonary Embolism: A Complication of COVID-19 or Drug Abuse?

Our patient was a young male who had presented to the emergency room with complaints of shortness of breath for three days. His workup was suggestive of a pulmonary embolism. The patient had a history of COVID-19 pneumonia six months prior to this admission, from which he recovered completely. He denied use of recreational marijuana (smoking or edibles initially) but later accepted to smoking marijuana. In fact, he had increased the dose and frequency over the last six months. The COVID-19 infection had a strong impact on his mental health, which pushed him to increase marijuana use. Our case report highlights drug abuse as a risk factor for venous thromboembolism, confounded by the recent COVID-19 infection.

Atrial Fibrillation Occurring After Smoking Marijuana: A Case Report and Review of the Literature

Introduction

Atrial fibrillation (AF) is the most common cardiac arrhythmia, occurring primarily in individuals with known risk factors such as advanced age, heart failure, and coronary artery disease. Cannabis use produces several cardiovascular changes resulting in proarrhythmic effects on the heart.

Case Report

A 38-year-old woman with no significant past medical history presented to the emergency department (ED) complaining of palpitations with associated shortness of breath occurring after smoking marijuana. She was found to be in AF. Evaluation in the ED and during hospitalization found no cardiac or metabolic conditions that predisposed to AF. The AF resolved within three hours of onset without intervention.

Conclusion

Cannabis use should be considered as a possible etiology of new-onset AF, especially in relatively young patients with no other predisposing risk factors.

Association of Cannabis Use Disorder With Hospitalizations for Pulmonary Embolism and Subsequent in-Hospital Mortality in Young Adults: A Contemporary Nationwide Analysis

BACKGROUND

With the increase in popularity of cannabis and its use and the lack of large-scale data on cannabis use and venous thromboembolism and pulmonary embolism (PE), we used a nationally representative cohort of young adults (aged 18-44 years) to compare the odds of admissions and in-hospital mortality of PE with and without cannabis use disorder (CUD).

METHODS AND RESULTS

Identified patients with PE using the National Inpatient Sample (2018) were compared for baseline, comorbidities, and outcomes. Multivariable regression analysis, adjusted for covariates, was used to compare the odds of PE in young patients with CUD (CUD+) versus those without (CUD-) and those with prior venous thromboembolism. Propensity score-matched analysis (1:6) was also performed to assess in-hospital outcomes. A total of 61 965 (0.7%) of 8 438 858 young adult admissions in 2018 were PE related, of which 1705 (0.6%) had CUD+. On both unadjusted (odds ratio, 0.80 [95% CI, 0.71-0.90]; P<0.001) and adjusted regression analyses, the CUD+ cohort had a lower risk of PE admission. The CUD+ cohort had fewer routine discharges (58.3% versus 68.3%) and higher transfers to short-term (7.9% versus 4.8%) and nursing/intermediate care (12.6% versus 9.5%) (P<0.001). The PE-CUD+ cohort of in-hospital mortality did not differ from the CUD- cohort. Propensity score-matched (1:6) analysis revealed comparable mortality odds with higher median hospital stay and cost in the CUD+ cohort.

CONCLUSIONS

Young adults with CUD demonstrated lower odds of PE hospitalizations without any association with subsequent in-hospital mortality. The median hospital stay of the CUD+ cohort was longer, they were often transferred to other facilities, and they had a higher cost.

Drug-induced AF: Arrhythmogenic Mechanisms and Management Strategies

AF is a prevalent condition that is associated with various modifiable and unmodifiable risk factors. Drug-induced AF, despite being commonly under-recognised, can be relatively easy to manage. Numerous cardiovascular and non-cardiovascular agents, including catecholaminergic agents, adenosine, anti-tumour agents and others, have been reported to induce AF. However, the mechanisms underlying drug-induced AF are diverse and not fully understood. The complexity of clinical scenarios and insufficient knowledge regarding drug-induced AF have rendered the management of this condition complicated, and current treatment guidelines follow those for other types of AF. Here, we present a review of the epidemiology of drug-induced AF and highlight a range of drugs that can induce or exacerbate AF, along with their molecular and electrophysiological mechanisms. Given the inadequate evidence and lack of attention, further research is crucial to underscore the clinical significance of drug-induced AF, clarify the underlying mechanisms and develop effective treatment strategies for the condition.

Association of Cannabis Use Disorder with Major Adverse Cardiac and Cerebrovascular Events in Older Non-Tobacco Users: A Population-Based Analysis

BACKGROUND

Tobacco use disorder (TUD) adversely impacts older patients with established cardiovascular disease (CVD) risk. However, CVD risk in chronic habitual cannabis users without the confounding impact of TUD hasn't been explored. We aimed to determine the risk of major adverse cardiac and cerebrovascular events (MACCE) in older non-tobacco smokers with established CVD risk with vs. without cannabis use disorder (CUD).

METHODS

We queried the 2019 National Inpatient Sample for hospitalized non-tobacco smokers with established traditional CVD risk factors aged ≥65 years. Relevant ICD-10 codes were used to identify patients with vs. without CUD. Using multivariable logistic regression, we evaluated the odds of MACCE in CUD cohorts compared to non-CUD cohorts.

RESULTS

Prevalence of CUD in the sample was 0.3% (28,535/10,708,815, median age 69), predominantly male, black, and non-electively admitted from urban teaching hospitals. Of the older patients with CVD risk with CUD, 13.9% reported MACCE. The CUD cohort reported higher odds of MACCE (OR 1.20, 95% CI 1.11-1.29, p < 0.001) compared to the non-CUD cohort. Comorbidities such as hypertension (OR 1.9) and hyperlipidemia (OR 1.3) predicted a higher risk of MACCE in the CUD cohort. The CUD cohort also had higher unadjusted rates of acute myocardial infarction (7.6% vs. 6%) and stroke (5.2% vs. 4.8%).

CONCLUSIONS

Among older non tobacco smokers with known CVD risk, chronic cannabis use had a 20% higher likelihood of MACCE compared to those who did not use cannabis.