The Association of Desert Dust with the Risk of Acute Coronary Syndrome in Subjects of a Younger Age.
Alberto Domínguez-RodríguezNéstor Baéz-FerrerPablo AvanzasSergio RodríguezPedro Abreu-GonzalezElisa Trujillo-MartinGuillermo Burillo PutzeDaniel Hernández-VaqueroPublished in: Journal of clinical medicine (2024)
Objectives: Recently, desert dust in Europe has been recognized as a cardiovascular health problem. In Spain, desert dust inflows in recent years have been associated with worsening air quality. The present study examines whether desert dust events are related to the incidence of acute coronary syndrome (ACS) in patients under 55 years of age. Methods: Data from 2416 consecutive patients admitted to a tertiary hospital due to ACS were prospectively analyzed. A case-crossover time-stratified design using Poisson conditional regression models was applied to estimate the impact of desert dust events involving particulate matter concentrations of an aerodynamic diameter <10 μm (PM 10 ) on the incidence of ACS in patients under 55 years of age. Results: Desert dust intrusion on days 0 to 5 before ACS onset showed no significant association with the incidence of ACS in patients under 55 years of age. The incidence rate ratios of PM 10 concentrations 1, 2, 3, 3, 4, and 5 days before ACS onset (for changes of 10 µg/m 3 ) were 1.02 (95% CI 0.97-1.1; p = 0.41), 1.01 (95% CI 0.96-1.07; p = 0.66), 0.99 (95% CI 0.94-1.05; p = 0.78), 0.96 (95% CI 0.9-1.02; p = 0.18), and 0.97 (95% CI 0.91-1.04; p = 0.41). Conclusions: Our findings suggest that desert dust is unlikely to be related to the incidence of ACS in patients under 55 years of age.
Keyphrases
- acute coronary syndrome
- end stage renal disease
- particulate matter
- ejection fraction
- newly diagnosed
- chronic kidney disease
- percutaneous coronary intervention
- risk factors
- prognostic factors
- air pollution
- health risk
- health risk assessment
- antiplatelet therapy
- randomized controlled trial
- heavy metals
- climate change
- atrial fibrillation
- deep learning
- double blind