Marijuana use and coronary artery disease in young adults

Chest CT Findings in Marijuana Smokers

Background Global consumption of marijuana is increasing, but there is a paucity of evidence concerning associated lung imaging findings. Purpose To use chest CT to investigate the effects of marijuana smoking in the lung. Materials and Methods This retrospective case-control study evaluated results of chest CT examinations (from October 2005 to July 2020) in marijuana smokers, nonsmoker control patients, and tobacco-only smokers. We compared rates of emphysema, airway changes, gynecomastia, and coronary artery calcification. Age- and sex-matched subgroups were created for comparison with tobacco-only smokers older than 50 years. Results were analyzed using χ² tests. Results A total of 56 marijuana smokers (34 male; mean age, 49 years ± 14 [SD]), 57 nonsmoker control patients (32 male; mean age, 49 years ± 14), and 33 tobacco-only smokers (18 male; mean age, 60 years ± 6) were evaluated. Higher rates of emphysema were seen among marijuana smokers (42 of 56 [75%]) than nonsmokers (three of 57 [5%]) (P < .001) but not tobacco-only smokers (22 of 33 [67%]) (P = .40). Rates of bronchial thickening, bronchiectasis, and mucoid impaction were higher among marijuana smokers compared with the other groups (P < .001 to P = .04). Gynecomastia was more common in marijuana smokers (13 of 34 [38%]) than in control patients (five of 32 [16%]) (P = .039) and tobacco-only smokers (two of 18 [11%]) (P = .040). In age-matched subgroup analysis of 30 marijuana smokers (23 male), 29 nonsmoker control patients (17 male), and 33 tobacco-only smokers (18 male), rates of bronchial thickening, bronchiectasis, and mucoid impaction were again higher in the marijuana smokers than in the tobacco-only smokers (P < .001 to P = .006). Emphysema rates were higher in age-matched marijuana smokers (28 of 30 [93%]) than in tobacco-only smokers (22 of 33 [67%]) (P = .009). There was no difference in rate of coronary artery calcification between age-matched marijuana smokers (21 of 30 [70%]) and tobacco-only smokers (28 of 33 [85%]) (P = .16). Conclusion Airway inflammation and emphysema were more common in marijuana smokers than in nonsmokers and tobacco-only smokers, although variable interobserver agreement and concomitant cigarette smoking among the marijuana-smoking cohort limits our ability to draw strong conclusions. © RSNA, 2022 See also the editorial by Galvin and Franks in this issue.

[Acute coronary syndrome and cannabis use: a retrospective cohort study]

INTRODUCTION

Acute coronary syndrome (ACS) is the usual clinical entry point for coronary heart disease. France is the European country with the highest prevalence of cannabis use and an increase in serious cardiovascular complications, including infarction, related to cannabis. The main objective was to compare the clinical and cardiological profile of patients with ACS according to exposure to cannabis use.

POPULATION AND METHODS

We conducted a retrospective, single-centre, exposure-non-exposure cohort study of all adult patients (> 18 years) admitted for ACS in the ICU between January 1, 2012 and December 31, 2021 at the Centre Hospitalier de Troyes, with mention of cannabis use in the medical record. A matching was performed so that each patient identified in the exposed group was associated with a comparable unexposed patient on age, sex, period of hospitalisation and cardiovascular event typology (type of ACS and topography for ST+).

RESULTS

2745 patients admitted to the ICU and the coronary angiography room presented an ST+ or ST- ACS from 01/01/2012 to 31/12/2021 at the CHT. For 31 patients of them (1.1%), we noted cannabis consumption, which concern 7,9% of SCA ST+ aged under 50.

DISCUSSION

The link between cannabis use and ACS is established, but studies concerning the place of cannabis in the ACS pathway of an ICU are few in France. Our results show the interest of developing a specific pathway focused on the needs of patients and their specificities in post ACS management.

Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study

PURPOSE

Coronary artery disease (CAD) is one of the most significant cardiovascular diseases that requires accurate angiography to diagnose. Angiography is an invasive approach involving risks like death, heart attack, and stroke. An appropriate alternative for diagnosis of the disease is to use statistical or data mining methods. The purpose of the study was to predict CAD by using discriminant analysis and compared with the logistic regression.

MATERIALS AND METHODS

This cross-sectional study included 758 cases admitted to Fatemeh Zahra Teaching Hospital (Sari, Iran) for examination and coronary angiography for evaluation of CAD in 2019. A logistics discriminant, Quadratic Discriminant Analysis (QDA) and Linear Discriminant Analysis (LDA) model and K-Nearest Neighbor (KNN) were fitted for prognosis of CAD with the help of clinical and laboratory information of patients.

RESULTS

Out of the 758 examined cases, 250 (32.98%) cases were non-CAD and 508 (67.22%) were diagnosed with CAD disease. The results indicated that the indices of accuracy, sensitivity, specificity and area under the ROC curve (AUC) in the linear discriminant analysis (LDA) were 78.6, 81.3, 71.3, and 81.9%, respectively. The results obtained by the quadratic discriminant analysis were respectively 64.6, 88.2, 47.9, and 81%. The values of the metrics in K-nearest neighbor method were 74, 77.5, 63.7, and 82%, respectively. Finally, the logistic regression reached 77, 87.6, 55.6, and 82%, respectively for the evaluation metrics.

CONCLUSIONS

The LDA method is superior to the Quadratic Discriminant Analysis (QDA), K-Nearest Neighbor (KNN) and Logistic Regression (LR) methods in differentiating CAD patients. Therefore, in addition to common non-invasive diagnostic methods, LDA technique is recommended as a predictive model with acceptable accuracy, sensitivity, and specificity for the diagnosis of CAD. However, given that the differences between the models are small, it is recommended to use each model to predict CAD disease.

Association of Marijuana Use and Cardiovascular Disease: A Behavioral Risk Factor Surveillance System Data Analysis of 133,706 US Adults

BACKGROUND

Marijuana is the most commonly used psychoactive drug, while its effects on cardiovascular health are not well known and remain a subject of interest.

METHODS

We used the pooled 2016-2018 data from the Behavioral Risk Factor Surveillance System to perform a cross-sectional analysis evaluating the association of marijuana and cardiovascular disease among US adults who never smoked cigarettes.

RESULTS

Among US adults ages 18-74 years, when compared with nonusers, frequent marijuana use was associated with 88% higher odds of myocardial infarction or coronary artery disease (adjusted odds ratio [aOR] 1.88; 95% confidence interval [CI], 1.15-3.08), and 81% higher odds of stroke (aOR 1.81; 95% CI, 1.14-2.89). Among the premature cardiovascular disease group, frequent marijuana users had 2.3 times higher odds of myocardial infarction or coronary artery disease (aOR 2.27; 95% CI, 1.20-4.30), and 1.9 times higher odds of stroke (aOR 1.92; 95% CI, 1.07-3.43). In terms of the modality of marijuana use, frequent marijuana smoking had 2.1 times higher odds of myocardial infarction or coronary artery disease (aOR 2.07; 95% CI, 1.21-3.56), and 1.8 times higher odds of stroke (aOR 1.84; 95% CI, 1.09-3.10). A similar association was observed in the premature cardiovascular disease group who smoked marijuana (aOR [for myocardial infarction or coronary artery disease] 2.64; 95% CI, 1.37-5.09; aOR [for stroke] 2.00; 95% CI, 1.05-3.79). No association was observed between marijuana use in any form other than smoking and cardiovascular disease, across all age groups.

CONCLUSION

Frequent marijuana smoking is associated with significantly higher odds of stroke and myocardial infarction or coronary artery disease, with a possible role in premature cardiovascular disease.