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Short-term effect of PM2.5 on stroke in susceptible populations: A case-crossover study
Meng Wang1,2,3, Ying Han1, Chun-Juan Wang2,3
1Vascular Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Background:
Fine particulate matter (PM2.5) is a risk factor for stroke, and patients with pre-existing diseases appear to be particularly susceptible. We conducted a case-crossover study to examine the association between short-term exposure to fine particulate matter (PM2.5) and hospital admission for stroke in individuals with atrial fibrillation (AF), hypertension, diabetes, or hyperlipidemia.
Methods:
Patients diagnosed with acute ischemic stroke (AIS) were recruited from 2015 to 2017 in Chinese Stroke Center Alliances. We estimated daily PM2.5 average exposures with a spatial resolution of 0.1° using a data assimilation approach combining satellite measurements, air model simulations, and monitoring values. Conditional logistic regression was used to assess PM2.5-related stroke risk in patients with pre-existing medical co-morbidities.
Results:
A total of 155,616 patients diagnosed with AIS were admitted. Patients with a history of AF (n = 15,430), hypertension (n = 138,220), diabetes (n = 43,737), or hyperlipidemia (n = 16,855) were assessed separately. A 10 µg/m3 increase in daily PM2.5 was associated with a significant increase in AIS for individuals with AF at lag 4 (odds ratio (OR), 1.008; 95% confidence interval (CI), 1.002-1.014), and with hypertension (OR, 1.008; 95% CI, 1.006-1.010), diabetes (OR, 1.006; 95% CI, 1.003-1.010), and hyperlipidemia (OR, 1.007; 95% CI, 1.001-1.012) at lags 0-7. Elderly (⩾ 65 years old) and female patients with AF had significantly higher associations at lag 5 (OR, 1.009; 95% CI, 1.002-1.015) and lag 5 (OR, 1.010; 95% CI, 1.002-1.018), respectively.
Conclusion:
Short-term exposure to PM2.5 is significantly associated with hospital admission for stroke in individuals with pre-existing medical histories, especially in older or female patients with AF. Preventive measures to reduce PM2.5 concentrations are particularly important in individuals with other medical co-morbidities.
Insights
Fine particulate matter (PM2.5) exposure increases stroke risk, particularly for those with atrial fibrillation, hypertension, diabetes, or hyperlipidemia. These findings highlight the need for air quality control to protect vulnerable populations.
Area of Science:
- Environmental Health
- Cardiovascular Epidemiology
- Public Health
Background:
- Fine particulate matter (PM2.5) is a known risk factor for stroke.
- Individuals with pre-existing conditions like atrial fibrillation (AF), hypertension, diabetes, and hyperlipidemia are potentially more susceptible to PM2.5's adverse effects.
Purpose of the Study:
- To investigate the association between short-term exposure to PM2.5 and hospital admissions for acute ischemic stroke (AIS).
- To assess this risk specifically in patients with common pre-existing medical comorbidities.
Main Methods:
- A case-crossover study design was employed, analyzing data from 155,616 AIS patients recruited between 2015-2017.
- Daily PM2.5 exposures were estimated using a data assimilation approach with satellite, air model, and monitoring data at a 0.1° resolution.
- Conditional logistic regression models were used to evaluate the association between PM2.5 and AIS risk, considering various lag times.
Main Results:
- A 10 µg/m³ increase in daily PM2.5 was linked to a significant rise in AIS hospital admissions.
- This association was observed across patients with AF, hypertension, diabetes, and hyperlipidemia, with specific odds ratios and confidence intervals reported.
- Elderly and female patients with AF showed particularly elevated risks at specific lag times.
Conclusions:
- Short-term PM2.5 exposure is significantly associated with increased hospital admissions for stroke in individuals with pre-existing conditions.
- Preventive strategies targeting PM2.5 reduction are crucial, especially for individuals with comorbidities and specific subgroups like older or female AF patients.
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