Long-Term Wildfire Smoke PM2.5 Exposure Is Linked to Higher Incident Stroke Risk in Older US Adults

Long-Term Wildfire Smoke PM2.5 Exposure Is Linked to Higher Incident Stroke Risk in Older US Adults

Highlights

In a nationwide cohort of approximately 25 million Medicare Fee-for-Service beneficiaries aged 65 years or older, long-term exposure to wildfire smoke PM2.5 was associated with a significantly higher risk of incident stroke.

The association strengthened as the exposure window lengthened, suggesting that chronic cumulative exposure may be more relevant than short-term exposure alone for cerebrovascular risk.

For a 3-year average exposure window, each 1 µg/m3 increase in wildfire smoke PM2.5 was associated with a 1.3% increase in incident stroke risk (HR 1.013, 95% CI 1.006 to 1.020).

Per unit exposure, wildfire smoke PM2.5 appeared more strongly associated with stroke risk than non-smoke PM2.5, supporting the possibility that wildfire-derived particulate matter may have distinct toxicity.

Background and clinical context

Stroke remains a leading cause of death and long-term disability in the United States, particularly among older adults. Established stroke risk factors include hypertension, diabetes, atrial fibrillation, smoking, dyslipidemia, chronic kidney disease, and social determinants of health. In recent years, ambient air pollution has also emerged as an important and potentially modifiable vascular risk factor. Most attention has focused on fine particulate matter with aerodynamic diameter 2.5 µm or less, or PM2.5, because these particles can penetrate deeply into the lungs, enter the systemic circulation indirectly through inflammatory and oxidative pathways, and contribute to endothelial dysfunction, thrombosis, and vascular injury.

Wildfire smoke has become an increasingly important source of PM2.5 exposure in North America. Climate change, prolonged drought, land-use patterns, and expanding wildland-urban interfaces have all contributed to larger and more frequent fires. Clinicians are familiar with the short-term respiratory consequences of wildfire smoke, and growing evidence links acute smoke exposure to emergency visits, hospitalizations, cardiovascular instability, and excess mortality. Far less is known about the long-term consequences of recurrent or sustained exposure to wildfire smoke, particularly for cerebrovascular disease.

This evidence gap matters because wildfire smoke differs from background urban particulate pollution. Smoke composition varies with fuel source, combustion temperature, atmospheric aging, and transport, and may include high levels of ultrafine particles, organic compounds, and pro-inflammatory constituents. If smoke PM2.5 carries greater vascular toxicity per unit mass than non-smoke PM2.5, then current air quality frameworks may underestimate risk in exposed populations. The study by Hao and colleagues addresses this question at national scale and provides timely evidence relevant to neurology, preventive medicine, environmental health, and health policy.

Study design and methods

Design and population

This was a national open cohort study of Medicare Fee-for-Service beneficiaries aged 65 years or older in the United States from 2007 through 2018. The cohort included roughly 25 million older adults, making it one of the largest studies yet to examine long-term wildfire smoke exposure and stroke incidence. An open cohort design allowed individuals to enter and leave the risk set over time, reflecting real-world Medicare enrollment patterns.

Outcome ascertainment

The primary outcome was incident stroke, identified using validated Medicare claims algorithms. The abstract does not specify stroke subtype analyses, so the principal interpretation is for overall incident stroke rather than ischemic or hemorrhagic stroke separately. Use of claims-based definitions in a cohort of this size is pragmatic and has precedent, though it necessarily trades some phenotypic granularity for scale.

Exposure assessment

The exposure assessment is a key strength. Investigators estimated wildfire smoke PM2.5 at 1 km2 spatial resolution using a machine learning model designed to separate smoke-specific PM2.5 from other ambient PM2.5 sources. This distinction is critical because conventional PM2.5 studies often treat particulate exposure as a single mass metric, potentially masking source-specific risk. The high-resolution approach also improves geographic assignment compared with coarser county-level or regional estimates.

The study examined multiple long-term exposure windows, including 3-year average wildfire smoke PM2.5. This is clinically relevant because repeated exposure over years may better capture chronic vascular injury than daily or weekly fluctuations alone.

Statistical analysis

The authors used stratified Cox proportional hazards models with generalized estimating equations to estimate hazard ratios for incident stroke per 1 µg/m3 increase in wildfire smoke PM2.5. Models adjusted for non-smoke PM2.5, meteorological variables, socioeconomic status, and healthcare capacity. Adjustment for non-smoke PM2.5 is particularly important because it helps isolate the contribution of wildfire-derived particulate matter from background ambient pollution. Consideration of weather, social factors, and healthcare infrastructure also strengthens the causal interpretation, although residual confounding remains possible in any observational study.

Key findings

Primary result

Across the study population, long-term wildfire smoke PM2.5 exposure was significantly associated with increased incident stroke risk. The main quantitative finding reported in the abstract is that each 1 µg/m3 increase in 3-year average wildfire smoke PM2.5 was associated with a 1.3% relative increase in stroke risk, corresponding to a hazard ratio of 1.013 with a 95% confidence interval from 1.006 to 1.020.

At first glance, this effect size may appear modest. However, several points make it clinically meaningful. First, stroke is common among older adults, so even small relative increases can translate into substantial absolute numbers of excess events at the population level. Second, wildfire smoke exposure is increasing in frequency, duration, and geographic reach. Third, the exposure metric is scaled per 1 µg/m3, meaning the cumulative effect could be larger in populations experiencing repeated high-smoke seasons over multiple years.

Evidence for a cumulative exposure effect

The authors report that associations were stronger for longer exposure windows. This pattern supports the hypothesis that wildfire smoke contributes not only to acute triggering of vascular events but also to the longer-term development of cerebrovascular disease. Such a dose-time relationship adds biological and epidemiologic plausibility. It suggests that recurrent seasonal exposure may gradually amplify stroke susceptibility through chronic inflammation, accelerated atherosclerosis, blood pressure effects, autonomic imbalance, or prothrombotic changes.

Comparison with non-smoke PM2.5

An especially notable result is that associations for wildfire smoke PM2.5 were generally stronger than those for non-smoke PM2.5 per unit exposure. This finding does not prove a mechanistic difference, but it is consistent with the idea that source matters, not just particle mass. Clinically and regulatorily, that distinction is important. If wildfire smoke is more harmful per microgram than average ambient PM2.5, then current risk communication and policy thresholds may not fully reflect the cerebrovascular hazard posed by smoke episodes and smoke-prone regions.

Scale and public health impact

The cohort included approximately 2.9 million incident stroke cases. With event counts of this magnitude, the study has considerable statistical power and supports stable national estimates. The sheer scale also underscores why modest relative risks deserve attention: small shifts in risk applied to tens of millions of older adults can result in a large burden of preventable disease.

How should clinicians interpret these data?

For practicing clinicians, the study adds wildfire smoke exposure to the growing list of environmental contributors to vascular risk. It does not mean smoke exposure should be weighted similarly to hypertension or atrial fibrillation in individual-level decision making, but it does suggest that recurrent smoke exposure is not merely a respiratory nuisance. For older adults, especially those with vascular risk factors, prior stroke or transient ischemic attack, atrial fibrillation, heart failure, diabetes, or limited physiologic reserve, smoke may be a meaningful component of cumulative cerebrovascular risk.

In clinical counseling, this supports practical preventive advice during smoke seasons: limiting outdoor exertion when air quality deteriorates, using well-fitted respirators when exposure is unavoidable, improving indoor air filtration, monitoring vulnerable patients more closely, and integrating air quality awareness into chronic disease management. For health systems, the findings support anticipatory planning in wildfire-prone regions, including outreach to older adults and populations with poor access to cooling, filtration, transportation, or primary care.

Mechanistic plausibility

Several biologically plausible pathways could link chronic wildfire smoke exposure to stroke. Fine particulate matter can induce pulmonary oxidative stress and systemic inflammation, increasing circulating cytokines and acute-phase reactants. This in turn may impair endothelial function, promote arterial stiffness, and accelerate atherosclerotic plaque progression. PM2.5 exposure has also been linked to autonomic dysregulation, blood pressure elevation, platelet activation, and hypercoagulability, all of which can contribute to ischemic cerebrovascular events.

Wildfire smoke may exert additional toxicity because of its chemical composition. Depending on fuel type and combustion conditions, smoke particles can carry reactive organic compounds, metals, and other combustion byproducts. Transported smoke also undergoes atmospheric aging, which may alter toxicity. In older adults with pre-existing vascular disease, these mechanisms could act on a susceptible substrate, increasing both chronic risk and event triggering.

Strengths of the study

The study has several major strengths. First is its scale: a nationwide cohort of roughly 25 million older adults provides exceptional statistical power and broad geographic representation. Second is the use of high-resolution, machine learning-based exposure estimates that distinguish wildfire smoke PM2.5 from non-smoke PM2.5, an important methodological advance over prior studies. Third is the focus on incident stroke rather than mortality alone, which is clinically more informative. Fourth is the adjustment for multiple potential confounders, including meteorology, socioeconomic status, healthcare capacity, and background PM2.5. Finally, the finding that longer exposure windows showed stronger associations provides internal coherence and supports the chronic exposure hypothesis.

Limitations and cautions

Despite its strengths, the study remains observational and cannot establish causality definitively. Exposure assignment was based on modeled ambient concentrations rather than personal exposure measurements, so some misclassification is inevitable. Indoor filtration, time-activity patterns, occupational exposures, and use of protective measures were not likely captured at the individual level. Such misclassification often biases results toward the null, but its direction is not always predictable.

Outcome identification relied on claims data. Although validated algorithms improve reliability, claims cannot fully distinguish stroke subtypes, severity, imaging confirmation, or competing diagnostic uncertainty. Residual confounding is another concern. Important individual-level factors such as smoking history, physical activity, diet, medication adherence, blood pressure control, and frailty may not be fully accounted for in Medicare claims-based models.

Generalizability should also be considered. The cohort consisted of adults aged 65 years or older enrolled in Medicare Fee-for-Service, so results may not translate directly to younger populations, Medicare Advantage beneficiaries, or non-US settings with different wildfire profiles and healthcare systems. In addition, the abstract does not detail effect modification by geography, race and ethnicity, comorbidity, or deprivation. These subgroup analyses would be valuable because wildfire exposure and stroke vulnerability are not evenly distributed.

Implications for public health and policy

The policy implications are substantial. Wildfire smoke is increasingly treated as an episodic air quality problem, but this study supports a broader framing: it may be a chronic vascular health hazard. Public health responses should therefore extend beyond short-term advisories. Potential strategies include strengthening smoke forecasting, improving indoor air quality standards and filtration access in homes and congregate settings, protecting outdoor workers and socially vulnerable communities, and integrating wildfire smoke into cardiovascular and cerebrovascular prevention planning.

These results also argue for closer alignment between climate adaptation and chronic disease prevention. Older adults living in smoke-prone regions may require targeted protections analogous to heat action plans. Payers, health systems, and public agencies could consider smoke-season outreach to patients with known vascular disease, medication review for high-risk individuals, and community distribution of filtration resources. More broadly, mitigation of wildfire drivers and land management strategies may have downstream health benefits that are not yet fully captured in standard cost-effectiveness frameworks.

Expert perspective

This study fits with a larger body of evidence linking air pollution to cardiovascular and neurologic disease, but it adds an important source-specific message. Not all PM2.5 appears equal. For neurologists and stroke specialists, the findings support incorporating environmental exposure history into prevention conversations, especially for older adults in the western United States and other increasingly smoke-affected regions. For internists and geriatricians, it reinforces that environmental health is becoming part of routine chronic disease care rather than a niche concern.

At the same time, the effect estimate should be interpreted in context. The relative risk increase per 1 µg/m3 is modest, and the study does not suggest wildfire smoke is a dominant stroke determinant at the individual level. Instead, its importance lies in population impact, rising exposure prevalence, and likely interaction with conventional vascular risk factors. This is exactly the type of risk factor that public health policy can address more effectively than bedside medicine alone.

Research directions

Several next steps are clear. Future studies should examine stroke subtypes separately, since ischemic and hemorrhagic mechanisms may differ. More work is needed on susceptibility, including whether associations are stronger among patients with prior cardiovascular disease, uncontrolled hypertension, chronic kidney disease, diabetes, or social vulnerability. Incorporating individual-level clinical data, wearable exposure measures, or residential indoor air characteristics could improve exposure precision. Finally, intervention studies, natural experiments, or quasi-experimental analyses may help determine whether filtration programs, clean-air shelters, or smoke-warning systems can reduce cerebrovascular events.

Conclusion

Hao and colleagues provide compelling national-scale evidence that chronic exposure to wildfire smoke PM2.5 is associated with higher incident stroke risk in older US adults. The signal is modest in relative terms but important in public health terms, particularly given the rising frequency and duration of wildfire smoke exposure. The stronger associations seen with longer exposure windows suggest that wildfire smoke should be viewed not only as an acute environmental hazard but also as a contributor to chronic cerebrovascular risk. For clinicians, this supports more deliberate counseling of vulnerable patients during smoke seasons. For policymakers, it strengthens the case for exposure-reduction strategies as part of both climate adaptation and stroke prevention.

Funding and registration

No ClinicalTrials.gov registration applies to this observational cohort study. Funding details were not provided in the abstract supplied here; readers should consult the full European Heart Journal article for complete funding and disclosure information.

References

1. Hao H, Xu K, Zhang D, Deng Y, Benmarhnia T, Pu Q, Pattisapu VK, Steenland K, Chang HH, Alonso A, Liu Y. Long-term exposure to wildfire smoke particulate matter and incident stroke: a US nationwide study. European Heart Journal. 2026;47(21):2673-2682. PMID: 41587749.

2. Feigin VL, Stark BA, Johnson CO, et al. Global, regional, and national burden of stroke and its risk factors, 1990-2021: a systematic analysis for the Global Burden of Disease Study 2021. Lancet Neurology. 2024;23(10):973-1003.

3. Rajagopalan S, Al-Kindi SG, Brook RD. Air pollution and cardiovascular disease: JACC state-of-the-art review. Journal of the American College of Cardiology. 2018;72(17):2054-2070.

4. Croft DP, Zhang W, Lin S, et al. The association between respiratory infection and air pollution in the setting of wildfire smoke exposure. Environmental International. 2019;133(Pt A):105180.

5. Prunicki M, Wade M, Mellins RB, et al. The impact of prescribed fire versus wildfire on the immune and cardiovascular systems. Allergy. 2020;75(4):932-945.

6. Howard VJ, McClure LA, Kleindorfer DO, et al. Population attributable risks of incident stroke risk factors in the REGARDS study. Annals of Neurology. 2013;74(6):904-914.

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