Abstract
Air pollution particulate matter (PM) exposure has been established as a risk factor for stroke. However, few studies have investigated the effects of PM exposure on stroke subtypes (ischemic and hemorrhagic stroke). Ischemic (IS) and hemorrhagic strokes (HS) involve distinctive pathophysiological pathways and may be differentially influenced by PM exposure. This review aims to characterize the effects of PM exposure on ischemic and hemorrhagic strokes. It also identifies subpopulations that may be uniquely vulnerable to PM toxicity. Pubmed was queried from 2000 to 2023 to identify clinical and epidemiological studies examining the association between PM exposure and stroke subtypes (ischemic and hemorrhagic stroke). Inclusion criteria were: 1) articles written in English 2) clinical and epidemiological studies 3) studies with a clear definition of stroke, IS, HS, and air pollution 4) studies reporting the effects of PM and 5) studies that included distinct analyses per stroke subtype. Two independent reviewers screened the literature for applicable studies. A total of 50 articles were included in this review. Overall, PM exposure increases ischemic stroke risk in both lightly and heavily polluted countries. The association between PM exposure and hemorrhagic stroke is variable and may be influenced by a country’s ambient air pollution levels. A stronger association between PM exposure and stroke is demonstrated in older individuals and those with pre-existing diabetes. There is no clear effect of sex or hypertension on PM-associated stroke risk. Current literature suggests PM exposure increases ischemic stroke risk, with an unclear effect on hemorrhagic stroke risk. Older patients and those with pre-existing diabetes may be the most vulnerable to PM toxicity. Future investigations are needed to characterize the influence of sex and hypertension on PM-associated stroke risk.
Keywords: hemorrhagic stroke, ischemic stroke, stroke, particulate matter, air pollution
Introduction and background
Stroke, a leading cause of morbidity and mortality, can be divided into two main subtypes: ischemic and hemorrhagic [1]. Ischemic stroke (IS) is characterized by decreased blood flow and tissue necrosis secondary to vascular obstruction [1]. Hemorrhagic stroke (HS) is defined by leakage of blood products into, or around, the brain via damaged blood vessels [1]. Stroke burden is expected to increase as the population ages [2]. It is therefore important to identify modifiable stroke risk factors.
Ambient air pollution (AAP) is composed of particulate matter (PM), metals, and gaseous pollutants including ozone (O3), carbon monoxide (CO), sulphur dioxide (SO2), and nitrogen species (NO2, NOx) [3]. PM2.5 (<2.5µm) may be a significant contributor to AAP-associated toxicity given its small aerodynamic diameter and potential to enter into the systemic circulation after inhalation [3]. AAP exposure is a risk factor for stroke [3-7]. Air pollution can induce inflammation and oxidative stress, which may impact stroke incidence and/or progression [8]. While the association between PM and stroke is well characterized, few studies have investigated the differential effects of PM on IS and HS. The effects of PM may differ by stroke subtype, as IS and HS involve different pathways [1]. Patient-based factors may influence the effect of PM on stroke subtype. This review aims to examine the clinical association between PM and stroke subtype (IS and HS). Further, the review describes the influence of patient-based factors (age, comorbidities, sex) on the effects of PM exposure and stroke.
Review
Methods
Given the wide scope of this study, a scoping literature review was performed. PubMed was searched between 2000 and 2023 for relevant articles using keywords (Table 1). This review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISM-ScR) guidelines. The initial search identified 1356 articles. Inclusion criteria were as follows: 1) clinical and epidemiological studies including humans 2) articles written in English 3) studies with a clear definition of stroke, IS, HS, and air pollution 4) studies that included separate analyses per stroke subtype 5) studies on the effects of PM. Studies on all other known air pollution constituents were excluded.
Table 1. Search Criteria .
| Section | Search Terms |
| Ischemic Stroke | “particulate matter” or “air pollution” and “ischemic” and “stroke” |
| Hemorrhagic Stroke | “particulate matter” or “air pollution” and “hemorrhagic” and “stroke” “air pollution” and “ischemic” and “hemorrhagic” and “stroke” |
| Sex Differences | “air pollution” and “stroke” and “gender” and “sex” |
| Age Differences | “air pollution” and “stroke” and “age” |
| Comorbidities | “air pollution” and “stroke” and “hypertension” “air pollution” and “stroke” and “diabetes” |
Two independent reviewers performed the initial screen and reviewed the title and abstract of articles. The full text was read for articles that passed the initial screen. The initial screen included 250 articles. This review includes 50 articles (Figure 1).
Figure 1. Flow Chart Outlining the Literature Search.
Ischemic stroke
Short-Term Particulate Matter Exposure
An association between short-term PM exposure and IS has been established [6,9-26] (Table 2). Short-term PM exposure is defined as PM exposure for one to two days. A 2015 meta-analysis (Shah et al.) demonstrated that PM2.5 exposure was associated with a modest increase in combined IS admissions and deaths (Relative risk (RR): 1.010, 95% Cl: 1.008-1.011). PM10 (<10µm) showed a positive, but nonsignificant, association (RR: 1.002; 95% Cl: 0.999-1.994) with combined IS admissions and deaths [6]. The small size of PM2.5 may allow particles to cross into the systemic circulation, amplifying its neurotoxicity [3]. An earlier (2014) meta-analysis (Wang et al.) suggested a nonsignificant association between PM10 (RR: 1.0, 95% Cl: 0.976-1.024) and PM2.5 (RR: 1.013, 95% Cl: 0.958-1.070) on IS hospital admissions. A limited number of studies were included, which may have influenced the results [27].
Table 2. Short-term Particulate Matter Exposure and Ischemic Stroke .
*Results include short- and long-term PM exposure.
Abbreviations: PM: particulate matter; IS: Ischemic stroke; HS: hemorrhagic stroke; ns: nonsignificant; UFP: ultrafine particle
| Author, Year | Study | N | Location | Findings |
| Shah et al., 2015 [6] | Meta-analysis on PM and stroke-related hospital admission and mortality | 20 studies on PM2.5 and IS, 19 studies on PM10 and IS | Worldwide | PM2.5 and PM10 significantly increased IS admission and mortality |
| Fu et al., 2019* [9] | Meta-analysis on PM2.5 and neurological disorders | 23 studies on IS | Worldwide | PM2.5 significantly increased IS risk |
| Ban et al., 2021 [10] | Case-crossover study on PM2.5 and stroke incidence and mortality | 107,604 IS cases, 7,342 IS deaths | China | PM2.5 significantly increased IS incidence and mortality |
| Hu et al., 2021 [11] | Time-series study on PM2.5 and IS hospital admissions | 11,363 IS admissions | Yancheng, China | PM2.5 significantly increased same-day IS admissions |
| Tian et al., 2018 [12] | Time-series study on PM2.5 and IS hospital admissions | 2,032,667 IS admissions | China | PM2.5 significantly increased same-day IS admissions |
| Zhang et al., 2018 [13] | Ecological study on PM2.5, PM10 exposure and stroke mortality | 32,799 IS deaths | Beijing, China | PM2.5,PM10 significantly increased IS mortality |
| Dong et al., 2018 [14] | Time-series study on air pollutants and IS incidence and mortality | 32,840 IS cases, 4,028 IS deaths | Changzhou, China | PM10 significantly increased IS mortality. PM2.5 increased IS mortality (ns) |
| Qian et al., 2013 [15] | Case-crossover study PM10 and stroke mortality in adults >65 | 30,583 IS deaths | Shanghai, China | PM10 significantly increased same-day IS mortality |
| Wang et al., 2020 [16] | Case-crossover study on air pollutants and IS incidence | 63,997 IS cases | Shenzhen, China | High PM10 significantly increased IS incidence |
| Maheswaran et al., 2012 [17] | Ecological study on PM10 and HS, IS incidence | 1,832 IS cases | London, UK | PM10 increased IS incidence (ns) |
| Tian et al., 2017 [18] | Time-series study on PM2.5 and IS hospital admissions | 63,956 IS admissions | Beijing, China | PM2.5 significantly increased same-day IS admissions |
| Wellenius et al., 2012 [19] | Case-crossover study on PM2.5 and IS incidence | 1,705 IS cases | Boston, MA | Moderate PM2.5 significantly increased IS incidence. |
| Wellenius et al., 2005 [20] | Case-crossover study on PM2.5 and IS, HS hospital admissions among Medicare recipients | 155,503 IS admissions | 9 US cities | PM10 significantly increased same-day IS admissions |
| Yorifuji et al., 2011 [22] | Time-series study on PM2.5 and IS mortality | 24,628 IS deaths | Tokyo, Japan | PM2.5 increased IS mortality (ns) |
| Oudin et al., 2010 [21] | Time-series and case-crossover study on PM10 and HS, IS admissions | 11,267 IS admissions | Scania, Sweden | PM10 significantly increased IS admissions |
| Tian et al., 2019 [25] | Time-series study on PM10-2.5 and IS hospital admissions | 2,032,667 IS admissions | China | PM10-2.5 significantly increased same-day IS admissions |
| Zhang et al., 2018 [26] | Case-crossover study on PM2.5 and cardiovascular hospital admissions | 173,587 IS admissions | New York, USA | PM2.5 significantly increased IS admissions |
| Wing et al., 2015 [28] | Case-crossover study on PM2.5 and IS incidence | 2,948 IS cases | Nueces County, Texas | PM2.5 not associated with IS incidence |
| Wang et al., 2014 [27] | Meta-analysis on PM10, PM2.5 and stroke admission | 6 studies - PM2.5, 10 studies - PM10 | Worldwide | PM10 not associated with IS admission. PM2.5 increased IS admission (ns) |
| Yang et al., 2014 [29] | Meta-analysis on air pollutants and stroke risk | 8 studies - PM2.5, 21 studies - PM10 | Worldwide | PM2.5, PM10 increased IS hospitalizations (ns) |
| Gu et al., 2020 [30] | Time-series study on PM2.5 and IS, HS hospital admissions | 4,012,228 IS admissions | China | PM2.5 significantly increased same-day IS admissions |
| Andersen et al., 2010 [31] | Case-crossover study on ultrafine particles and stroke hospital admissions | 6,798 IS admissions | Copenhagen, Denmark | UFP (particles <0.1um) significantly increased mild IS hospital admissions |
| Fisher et al., 2019 [32] | Case-crossover study on PM2.5, PM10 and IS, HS incidence in the Health Professionals Follow-up Study | 539 IS cases | USA | PM10 significantly increased IS incidence |
| Mechtouff et al., 2012 [33] | Case-crossover study on air pollutants and IS incidence | 376 IS cases | Lyon, France | PM2.5, PM10 not associated with IS incidence |
| Sun et al., 2019 [34] | Case-crossover study on air pollutants and IS, HS incidence in the Women’s Health Initiative | 4,300 IS cases | USA | PM2.5, PM10 not associated with IS incidence |
| Butland et al., 2017 [35] | Case-crossover study on air pollutants and IS, HS incidence | 1,311 IS cases | London, UK | PM2.5, PM10 not associated with IS incidence |
| Lin et al., 2016 [36] | Time-series study on PM and IS, HS mortality | 5,113 IS deaths | Guangzhou, China | PM10, PM2.5, PM1 not associated with IS mortality |
| O’Donnell et al., 2011 [37] | Case-crossover study on PM2.5 and IS incidence | 9,292 IS cases | Ontario, Canada | PM2.5 not associated with IS incidence |
| Sade et al., 2015 [23] | Case-crossover study on PM10, PM2.5 and stroke admissions | 4,325 IS cases | Israel | PM10, PM2.5 significantly increased same-day IS admissions |
| Huang et al., 2016 [24] | Case-crossover study on PM10, PM2.5 and stroke admissions | 130,774 IS cases | Beijing, China | PM10, PM2.5 significantly increased same-day IS admissions |
| Villeneuve et al., 2012 [38] | Case-crossover study on air pollutants and IS, HS hospital admissions | 1,804 IS cases | Edmonton, Canada | PM2.5 not associated with IS admissions |
A recent meta-analysis by Fu et al. (2019) demonstrated a stronger association between PM2.5 exposure and IS incidence than the meta-analyses conducted by Shah et al. and Wang et al. [6,9,27]. A greater proportion of studies were conducted in heavily polluted countries [9]. An established association between air pollution and stroke in heavily polluted countries may account for the more robust findings in the Fu et al. meta-analysis [6,9,29].
In heavily polluted countries, the association between short-term PM exposure and IS has been well documented [10-16,18,24,25,30]. Across China, a 10µg/m3 increase in PM2.5 increased IS incidence and mortality by 0.26% (95% Cl: 0.21-0.72%) and 1.09% (95% Cl: 0.05-2.14%), respectively. 43,300 stroke-related deaths and 48,800 incidences were attributable to PM2.5 exposure. PM2.5 was measured using county-level fixed monitoring data, which may bias the study’s estimates [10]. In Beijing, 10µg/m3 increases in PM2.5 and PM10 increased IS mortality by 0.23% (95% Cl: 0.04-0.42%) and 0.16% (95% Cl: 0.01-0.32%), respectively [13]. Across multiple studies, PM2.5 and PM10 exposure increased IS risk and mortality [11-16].
Moderate PM exposure may impact the IS risk. Moderate PM2.5 exposure (15-40µg/m3) increased IS risk by 34% when compared to light PM2.5 exposure (≤15µg/m3). PM2.5 levels were linearly associated with stroke risk and the association between PM2.5 and IS onset was strongest within 12 hours of exposure [19]. PM2.5 is neurotoxic at levels within the US National Ambient Air Quality Standards [39]. The effect of PM on IS may vary by stroke severity. Higher levels of ultrafine particle (UFP) (<0.1µm) exposure increased hospital admissions by 21% for mild IS without atrial fibrillation. There was no association between UFP exposure and severe IS admissions [31].
Other studies have found no association between PM exposure and IS [17,28,32-38]. The Health Professionals Follow-up Study (HPFS) demonstrated that daily changes in PM10, but not PM2.5, were associated with IS events. Subjects were mostly Caucasian men, and results, therefore, may not be generalizable to the entire population [32]. In the Women’s Health Initiative, no association was demonstrated between PM2.5/PM10 and IS risk [34]. Similarly, there was no association between PM2.5/PM10 and incident IS in the South London Stroke Register [35]. Exposure assessment, stroke ascertainment, and statistical approaches varied among studies, which could contribute to result heterogeneity.
Long-Term Particulate Matter Exposure
Fewer studies have investigated the effects of long-term PM exposure on IS (Table 3). Long-term PM exposure is defined as PM exposure for one year or longer. A meta-analysis by Yuan et al. identified four studies that stratified analyses by stroke subtype [40]. Pooled results suggested no association between IS incidence and PM2.5 exposure (per 5µg/m3 increase, Hazard Ratio (HR): 1.62, 95% Cl: 0.88-2.97) [40-44]. In the Danish Nurse Cohort, IS risk increased by 17% (95% Cl: 1.01-1.34) per 5µg/m3 increase of one-year mean PM2.5. A 3µg/m3 increase of one-year mean PM10 showed a positive, but nonsignificant, association with IS risk (HR: 1.04, 95% Cl: 0.96-1.13). A linear dose-response relationship between PM2.5/PM10 and stroke incidence was noted. A threshold was found, above which an effect between PM and increased stroke risk was not observed (PM2.5, PM10: 20µg/m3) [45]. These results suggest that PM exposure can increase IS risk in a region with lower pollutant concentrations. Subjects were female nurses aged 44 years and older, limiting the study’s generalizability [45]. In contrast, PM2.5 exposure was not associated with IS incidence in the South London Stroke Register [46]. In Seoul, Korea, every 1µg/m3 increase in PM2.5/PM10 exposure increased IS incidence [42].The Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project demonstrated that every 10µg/m3 increase in PM2.5 increased IS incidence by 20% (95% Cl: 15-25%) [47]. An almost linear association between PM2.5 exposure and incident IS was noted [47]. Higher air pollution levels in Korea and China relative to Western countries may account for the increased risks of PM exposure [29].
Table 3. Long-Term Particulate Matter Exposure and Ischemic Stroke .
Abbreviations: PM: particulate matter; IS: Ischemic stroke; HS: hemorrhagic stroke; ns: nonsignificant; DALYs: disability-associated life years
| Author, Year | Methods | N | Location | Findings |
| Yuan et al., 2019 [40] | Meta-analysis of cohort studies on PM2.5 and stroke incidence | 4 studies on IS | Worldwide | PM2.5 increased IS incidence (ns) |
| Cai et al., 2018 [44] | Population-based study on air pollutants and cardiovascular disease | 923 IS cases | Norway and UK | PM2.5 increased IS incidence (ns) |
| Qiu et al., 2017 [41] | Cohort study on PM2.5 and stroke admission in adults ≥65 years | 3,526 IS cases | Hong Kong, China | PM2.5 significantly increased IS incidence |
| Kim et al., 2017 [42] | Population-based study on PM2.5 and cardiovascular events | 688 IS cases | Seoul, Korea | PM2.5, PM2.5-10 significantly increased IS incidence |
| Puett et al., 2011 [43] | Cohort study on PM2.5, PM10, and cardiovascular disease | 230 IS cases | USA | PM2.5, PM10not associated with IS risk |
| Amini et al., 2020 [45] | Danish Nurse Cohort study on PM2.5, PM10, and stroke incidence | 944 IS cases | Denmark | One-year PM2.5 significantly increased IS incidence, one-year PM10 increased IS incidence (ns) |
| Crichton et al., 2016 [46] | South London Stroke Register study on PM2.5, PM10, and stroke incidence | 1,350 IS cases | London, UK | PM2.5, PM10 not associated with IS incidence |
| Huang et al., 2019 [47] | Prospective cohort study on PM2.5 exposure and stroke incidence | 2,230 IS cases | Beijing, China | PM2.5 significantly increased IS incidence |
| Maheswaran et al., 2010 [48] | Population-based study on air pollutants and poststroke survival | 1,856 poststroke deaths | London, UK | Poststroke PM10 not associated with cerebral infarction mortality |
| Chen et al., 2019 [49] | China National Stroke Registry cohort study on prestroke PM1, PM2.5, PM10, and fatal IS incidence | 12,291 IS patients, 1,649 IS deaths | China | PM1 and PM2.5 significantly increased incident fatal IS. PM10 not associated with fatal IS |
| Jiang et al., 2020 [5] | Global Burden of Disease Study 2017 on PM2.5-attributable stroke burden | 10,515,500 stroke DALYS, 444,940 stroke deaths attributable to PM2.5 | Worldwide | 3,950,200 IS DALYS and 183,523 IS deaths attributable to PM2.5 in 2017 |
Long-term PM exposure may impact survival after IS. Three-year prestroke PM1 (≤1µm) and PM2.5 exposure increased mortality in the year following IS (PM1: HR 1.05, 95% Cl: 1.02-109; PM2.5: HR 1.03, 95% Cl: 1.00-1.06) across China [49]. Maheswaran et al. found no association between poststroke PM10 exposure and increased mortality after cerebral infarction in South London (HR: 1.3, 95% Cl: 0.84-2.01) [48]. The same group later demonstrated no effect of long-term residential PM10 exposure on incident IS [17].
Hemorrhagic stroke
Research examining PM and HS is limited and has produced inconsistent results [6,9,10,13,15,17,20-24,30,32,34-36,38,42,45-47,50,51] (Table 4). 6,565,200 million HS-related DALYs were attributable to PM2.5 in 2017 [5]. Pooled analyses from Shah et al. demonstrated no association between short-termPM2.5 (RR: 1.004, 95% Cl: 0.978-1.029) or PM10 exposure (1.002, 95% Cl: 0.997-1.006) and combined HS admission and mortality [6]. PM2.5 was (nonsignificantly) associated with HS incidence in Fu et al. (RR: 1.04, 95% Cl: 1.0-1.07) [9].
Table 4. Short- and Long-Term Particulate Matter Exposure and Hemorrhagic Stroke .
*After adjustment for nitrogen oxides (NOx).
†Results include short- and long-term PM exposure.
Abbreviations: PM: particulate matter; IS: ischemic stroke; HS: hemorrhagic stroke; SAH: subarachnoid hemorrhage; ns: nonsignificant; ICH: intracerebral hemorrhage; DALYs: disability-associated life years
| Author, Year | Methods | N | Location | Findings | Stronger association between PM and HS or IS? |
| Short-term PM exposure | |||||
| Shah et al., 2015 [6] | Meta-analysis on PM and stroke-related hospital admission and mortality | 5 studies - PM2.5, 12 studies - PM10 | Worldwide | PM2.5, PM10 not associated with HS admission and mortality | IS |
| Ban et al., 2021 [10] | Case-crossover study on PM2.5 and stroke incidence and mortality | 19,100 HS cases, 11,922 HS deaths | China | PM2.5 not associated with HS incidence and mortality | IS |
| Cai et al., 2020 [51] | Case-crossover study on PM2.5 and fatal HS incidence | 6,412 fatal HS cases | Shanghai, China | PM2.5 significantly increased fatal HS | N/A |
| Zhang et al., 2018 [13] | Ecological study on PM2.5, PM10 exposure and stroke mortality | 13,051 HS deaths | Beijing, China | PM2.5 significantly increased HS mortality | PM2.5:HS, PM10: IS |
| Maheswaran et al., 2012 [17] | Ecological study on PM10 and HS, IS incidence | 348 HS cases | London, UK | PM10 not associated with HS incidence | N/A |
| Wellenius et al., 2005 [20] | Case-crossover study on PM2.5 and IS, HS hospital admissions among Medicare recipients | 19,314 HS admissions | 9 US cities | PM10 not associated with HS admissions | IS |
| Oudin et al., 2010 [21] | Time-series and case-crossover study on PM10 and HS, IS admissions | 1,681 HS admissions | Scania, Sweden | PM10 not associated with HS admissions | IS |
| Gu et al., 2020 [30] | Time-series study on PM2.5 and IS, HS hospital admissions | 1,089,239 HS admissions | China | PM2.5 negatively associated with HS admissions (ns) | IS |
| Fisher et al., 2019 [32] | Case-crossover study on PM2.5, PM10 and IS, HS incidence in the Health Professionals Follow-up Study | 122 HS cases | USA | PM2.5, PM10 not associated with HS incidence | PM10: IS |
| Sun et al., 2019 [34] | Case-crossover study on air pollutants and IS, HS incidence in the Women’s Health Initiative | 924 HS cases | USA | PM10, PM2.5 not associated with HS incidence | N/A |
| Butland et al,. 2017 [35] | Case-crossover study on air pollutants and IS, HS incidence | 256 HS cases | London, UK | PM2.5, PM10 significantly negatively associated with HS incidence* | N/A |
| Lin et al., 2016 [36] | Time-series study on PM and IS, HS mortality | 3,953 HS deaths | Guangzhou, China | PM10, PM2.5, PM1 significantly increased HS mortality | HS |
| Villeneuve et al., 2012 [38] | Case-crossover study on air pollutants and IS, HS hospital admissions | 909 HS cases | Edmonton, Canada | PM2.5 not associated with HS admissions | N/A |
| Sade et al., 2015 [23] | Case-crossover study on PM10, PM2.5, and stroke admissions | 512 HS cases | Israel | PM10, PM2.5 not associated with HS admissions | IS |
| Huang et al., 2016 [24] | Case-crossover study on PM10, PM2.5, and stroke admissions | 16,880 HS cases | Beijing, China | PM10, PM2.5 associated with HS on warm days | IS |
| Qian et al., 2019 [50] | Case-crossover study on PM2.5 and fatal ICH incidence | 5,286 fatal ICH cases | Shanghai, China | PM2.5 significantly increased fatal ICH incidence | N/A |
| Qian et al., 2013 [15] | Case-crossover study PM10 and stroke mortality in adults >65 years | 17,582 HS deaths | Shanghai, China | PM10 not associated with HS mortality | IS |
| Yorifuji et al., 2011 [22] | Time-series study on PM2.5 and IS mortality | 4,983 SAH deaths 11,829 ICH deaths | Tokyo, Japan | PM2.5 increased ICH mortality (ns). PM2.5 increased SAH mortality. | HS (SAH) |
| Fu et al., 2019† [9] | Meta-analysis on PM2.5 and neurological disorders | 13 studies on HS | Worldwide | PM2.5 increased HS risk (ns) | HS |
| Long-term PM exposure | |||||
| Yuan et al., 2019 [40] | Meta-analysis of cohort studies on PM2.5 and stroke incidence | 4 studies on HS | Worldwide | PM2.5 increased HS incidence (ns) | IS |
| Crichton et al., 2016 [46] | South London Stroke Register study on PM2.5, PM10, and stroke incidence | 450 HS cases | London, UK | PM2.5, PM10 not associated with HS incidence | N/A |
| Huang et al., 2019 [47] | Prospective cohort study on PM2.5 exposure and stroke incidence | 973 HS cases | Beijing, China | PM2.5 significantly increased HS incidence | IS |
| Jiang et al., 2020 [5] | Global Burden of Disease Study 2017 on PM2.5-attributable stroke burden | 10,515,500 stroke DALYS, 444,940 stroke deaths attributable to PM2.5 | Worldwide | 3,277,200 HS DALYS and 261,417 HS deaths attributable to PM2.5 in 2017 | N/A |
| Puett et al., 2011 [43] | Cohort study on PM2.5, PM10,and cardiovascular disease | 70 HS cases | USA | PM2.5, PM10 not associated with HS risk | N/A |
| Qiu et al., 2017 [41] | Cohort study on PM2.5 and stroke admission in adults ≥65 years | 1,175 HS cases | Hong Kong, China | PM2.5 not associated with HS incidence | IS |
| Kim et al., 2017 [42] | Population-based study on PM2.5 and cardiovascular events | 292 HS cases | Seoul, Korea | PM2.5, PM2.5-10 significantly increased HS incidence | PM2.5: IS, PM2.5-10:HS |
| Amini et al., 2020 [45] | Danish Nurse Cohort study on PM2.5, PM10, and stroke incidence | 134 HS cases | Denmark | One-year PM2.5, PM10 increased HS incidence (ns) | IS |
An association between short-term PM2.5/PM10 exposure and HS incidence was observed in the HPFS study on the day before stroke [32]. This association was not consistent across exposure days [32]. Gu et al. noted similar results, with an association between PM2.5 and HS hospital admissions that was significant with specific single-day exposures or moving average exposures [30]. Interestingly, same-day PM10 exposure decreased HS incidence in London after adjusting for NOx. As PM2.5 and NOx are strongly correlated, this association may be secondary to collinearity [35].
No association between one- or three-year mean PM2.5 or PM10 and incident HS was demonstrated in the Danish Nurse Cohort [45]. Similarly, no association between daily PM2.5/PM10 exposure and incident HS was noted in the Women’s Health Initiative [34]. In contrast, Kim et al. demonstrated that every 1µg/m3 increase in long-term PM2.5 and PM10 concentration increased HS incidence [42]. In the China-PAR project, every 10µg/m3 increase in long-term PM2.5 increased incident HS by 12% (95% Cl: 5-20%) [47].
Short-term PM2.5 increased HS (excess risk (ER): 14% (95% Cl: 2-27%)) but not IS mortality (3%, 95% Cl: -6-14%) in Guangzhou, China. Stroke mortality rate in the study region was lower than in other industrialized cities in China, suggesting data underreporting [36]. Similarly, elevated PM2.5 levels two days before stroke increased fatal intracerebral hemorrhagic stroke (ICH) in Shanghai, China [50]. In Beijing, China, a 10µg/m3 increase in same-day PM2.5 increased HS mortality by 0.37% (95% Cl: 0.07-0.67%) [13].
The majority of studies report no association between PM and HS [10,15,17,20,23,24,34,38,45,46]. North American and European studies tend to report no association between PM and HS, while studies from Asia suggest an association [13,17,20,21,36,38,42,45-47,51]. As pollution exposure concentrations tend to be lower in Western countries, the average ambient pollution concentration may influence the effect of PM on HS [29].
Comparison of particulate matter effects on ischemic and hemorrhagic stroke
The association between PM exposure and IS is well established, while the association between PM exposure and HS is less clear. Most studies reported stronger associations of PM with IS than HS, while few reported the opposite effect [6,9,10,13,21,23,36,42,45,47,52,53] (Table 4). PM10 levels were associated with same-day IS, but not HS, admissions among Medicare recipients [20]. In China, every 10µg/m3 increase in PM2.5 concentration, increased years life lost by 0.31% (95% Cl: 0.15-0.46) for IS and 0.23% (95% Cl: 0.09-0.36) for HS [53]. The differential effect of PM on stroke subtypes may be secondary to the distinctive underlying mechanisms.
While lifestyle factors, such as alcohol use and smoking, are risk factors for IS and HS, these factors may be more strongly associated with HS [54,55]. Current smoking was more strongly associated with HS (HR 2.56, 95% Cl: 1.92-3.41) than IS risk (1.62, 95% Cl: 1.39-1.90) in a cohort study [56]. Heavy alcohol consumption increased HS (2.73, 95% Cl: 1.83-4.07) but not IS risk (1.10, 95% Cl: 0.83-1.47) [56]. However, opposite trends have also been noted [57]. Risk factors demonstrating greater association with IS than HS include pre-existing diabetes, previous myocardial infarction, previous stroke, and atrial fibrillation [54,58]. Air pollution exposure has been proposed as a risk factor for cardiovascular disease and diabetes [3,59].
Pathophysiology behind air pollution-associated stroke
The exact mechanisms underlying air pollution-associated ischemic and hemorrhagic stroke are still unknown. PM exposure activates neuroinflammatory and oxidative stress pathways in both clinical and animal studies [8,60-63]. In addition, PM exposure contributes to endothelial dysfunction, which is a risk factor for stroke [7,62,64]. Atherosclerosis is an important mechanism underlying IS development [65]. PM exposure contributes to the formation and progression of atherosclerosis [62]. Furthermore, PM exposure is associated with increased plaque instability [62]. PM exposure increases sympathetic nervous system activity [66]. These effects may cause increases in blood pressure and risk of thrombosis [67]. Thrombus formation may contribute to IS pathogenesis, while hypertension increases HS and IS risk [58]. Proposed mechanisms behind air pollution particulate matter and ischemic and hemorrhagic stroke have been outlined in Figure 2.
Figure 2. Mechanisms Underlying Particulate Matter Exposure and Ischemic and Hemorrhagic Stroke .
Figure created with BioRender.com
Effect of particulate matter on stroke in susceptible populations
The effect of PM exposure on IS and HS may depend on patient-based factors, such as sex, age, and comorbidities. This study investigated the influence of sex, age, and comorbidities (hypertension and diabetes) on the association between PM exposure and stroke.
Sex
Studies have produced inconsistent results with regards to the influence of sex on PM exposure and stroke risk (Table 5). PM2.5 exposure (nonsignificantly) increased stroke incidence and mortality in females compared to males across China. Chinese females have a higher prevalence of diabetes and hypertension, which may render them vulnerable to PM neurotoxicity [10,68]. In contrast, the effect of PM10 on daily IS deaths was stronger in males than females in Changzhou, China. Study authors suggested that males may spend more time outdoors and be exposed to higher PM10 levels [14]. Globally, males had a higher burden of PM-attributable stroke (stroke-related DALYs and deaths) in 2017 [5]. Risk factors for stroke, such as smoking, tend to be more prevalent in men [69].
Table 5. Influence of Sex on Particulate Matter Exposure and Stroke.
*No sex differences indicate that sex differences were examined in each study, and sex did not influence the association between particulate matter exposure and stroke Abbreviations: PM: particulate matter; IS: ischemic stroke; HS: hemorrhagic stroke
| Author, Year | Findings |
| Ban et al., 2021 [10] | PM2.5 stronger association with stroke incidence and mortality in females |
| Hu et al., 2021 [11] | PM2.5 stronger association with IS admissions in females |
| Tian et al., 2018 [12] | No sex differences |
| Zhang et al., 2018 [13] | No sex differences |
| Dong et al., 2018 [14] | PM10 stronger association with IS mortality in males |
| Qian et al., 2013 [15] | PM10 stronger association with stroke and HS mortality in males |
| Tian et al., 2017 [18] | No sex differences |
| Gu et al., 2020 [30] | No sex differences |
| Qiu et al., 2017 [41] | PM2.5 stronger association with IS admission in males |
| Chen et al., 2019 [49] | PM1 stronger association with fatal stroke in males |
| Qian et al., 2019 [45] | No sex differences |
| Jiang et al., 2020 [5] | Higher burden of PM2.5-attributable stroke in males |
Age
Older individuals are susceptible to air pollution toxicity [70]. Likewise, a stronger association between PM and stroke may be observed in older populations (Table 6). Chinese adults aged ≥75 years had an increased stroke mortality risk after PM2.5 exposure compared to individuals <75 years. However, the association between PM2.5 and stroke incidence increased in adults aged <75 years compared to adults ≥75 years [10]. The average age for first-ever stroke ranges from 60.9 to 63.4 years in China [68]. Therefore, the effect of PM2.5 on stroke incidence may be greatest in individuals aged ≥60 years and not ≥75 years. Similarly, the association between PM2.5 and IS admissions was increased (nonsignificantly) in Chinese adults aged 65-74 compared to adults aged <65 [30]. A greater effect of PM2.5 on IS admissions was demonstrated in adults ≥75 years in Yancheng, China [11]. For HS, PM2.5 exposure increased fatal ICH incidence among Chinese adults >65 years but not in adults <65 years [50]. It is possible that individuals aged ≥60 years are more vulnerable to PM toxicity [10].
Table 6. Influence of Age on Particulate Matter Exposure and Stroke.
*No effect indicates that age was examined in each study and did not affect the association between particulate matter exposure and stroke Abbreviations: PM: particulate matter; IS: ischemic stroke; HS: hemorrhagic stroke; ICH: intracerebral hemorrhage; yrs: years
| Author, Year | Findings |
| Ban et al., 2021 [10] | PM2.5 stronger association with stroke mortality in people ≥75 yrs and stroke incidence in people 64-74 yrs |
| Hu et al., 2021 [11] | PM2.5 stronger association with IS admissions in people ≥75 yrs |
| Tian et al., 2018 [12] | PM2.5 stronger association with IS admissions in people ≥75 yrs |
| Zhang et al., 2018 [13] | No effect |
| Dong et al., 2018 [14] | PM10, PM2.5 stronger association with IS mortality in people ≤65 yrs |
| Qian et al., 2013 [15] | PM10 stronger association with stroke mortality in people 65-75 yrs |
| Wang et al., 2020 [16] | High PM10 exposure stronger association with IS incidence in people ≥65 yrs |
| Maheswaran et al., 2012 [17] | PM10 stronger association with IS incidence in people 65-79 yrs |
| Wellenius et al., 2012 [19] | No effect |
| Gu et al., 2020 [30] | PM2.5 stronger association with IS admissions in people 65-74 yrs |
| Fisher et al., 2019 [32] | No effect |
| Huang et al., 2019 [47] | PM2.5 stronger association with IS incidence in people ≥60 yrs |
| Chen et al., 2019 [49] | PM1 stronger association with fatal IS in people ≥75 yrs |
| Sade et al., 2015 [23] | PM10, PM2.5 stronger association with IS admissions in people <55 yrs |
| Huang et al., 2016 [24] | No effect |
| Qian et al., 2019 [45] | PM2.5 stronger association with fatal ICH in people ≥65 yrs |
In London, the strongest IS risk per 10µg/m3 increase in PM10 occurred in adults aged 65-79 years (rate ratio 1.96, 95% Cl: 1.10-3.13) compared to adults aged 45-64 years (1.12, 95% Cl: 0.55-2.28) and adults older than 80 (0.5, 95% Cl: 0.19-1.32). The data used for census counts of individuals >80 years may have been inaccurate in the study’s small region. This may contribute to the lack of association between PM10 and IS in adults >80 years [17]. There was no association between PM10 exposure and HS incidence across age ranges [17].
Several studies have reported no effect of age on PM and stroke [13,32]. In Changzhou, China, PM10-related IS mortality risk was greater in individuals <65 years compared to individuals ≥65 years. Young individuals may spend more time outdoors and be exposed to higher PM10 levels than elderly individuals [14].
Hypertension and Diabetes
Individuals with underlying comorbidities, such as diabetes and hypertension, may be vulnerable to the adverse effects of PM (Table 7). PM2.5 exposure increased IS risk by 10.6% among patients with diabetes (95% Cl: 0.8-21.5%) in Canada, a region with low air pollution levels. No association was demonstrated between PM2.5 and IS among patients without diabetes [37]. PM2.5 exposure increased fatal ICH by 26% (95% Cl: 9-46%) among patients with diabetes in Shanghai. This association was significantly stronger when compared to subjects without diabetes (5% increase, 95% Cl: -2-12%) [50]. The exact mechanisms behind why patients with diabetes may be more vulnerable to PM exposure are still unknown; however, inflammation may play a key role. Diabetes can increase vascular inflammation and cause endothelial dysfunction, which may contribute to an individual’s susceptibility to PM2.5 neurotoxicity [71].
Table 7. Effect Modification of Hypertension and Diabetes on Particulate Matter Exposure and Stroke.
*No effect means that these factors were examined in each study and there was no effect of hypertension or diabetes on stroke Abbreviations: PM: particulate matter; IS: ischemic stroke; HS: hemorrhagic stroke; ICH: intracerebral hemorrhage
| Author, Year | Findings |
| Qian et al., 2013 [15] | No effect of hypertension or diabetes |
| Wellenius et al., 2012 [19] | No effect of hypertension or diabetes |
| Fisher et al., 2019 [32] | No effect of hypertension or diabetes |
| Sun et al., 2019 [34] | No effect of hypertension or diabetes |
| O’Donnell et al., 2011 [37] | PM2.5 stronger association with IS incidence in people with diabetes. No effect of hypertension |
| Huang et al., 2019 [47] | No effect of hypertension or diabetes |
| Qian et al., 2019 [45] | PM2.5 stronger association with fatal ICH in people with diabetes. No effect of hypertension. |
| Cai et al., 2020 [51] | PM2.5 stronger association with fatal HS in people with hypertension |
A similar effect was not seen among patients with hypertension. While patients with hypertension had an 8% increase (95% Cl: 0-16%) in fatal ICH incidence after greater PM2.5 exposure, this association was not significant [50]. Similarly, there was no effect of hypertension on PM2.5 and IS [37]. In contrast, PM2.5 exposure increased fatal HS incidence by 6% (95% Cl: 2-10%) in patients with hypertension but did not increase fatal HS in patients without hypertension (4%, 95% Cl: -2-11) [51]. PM2.5 exposure can activate the sympathetic nervous system and induce vasoconstriction, which may further increase the blood pressure of patients with hypertension and cause hemorrhage [62,66].
Multiple studies have reported no effect of diabetes or hypertension on stroke risk after PM2.5 exposure [19,32,34,47]. In the Women’s Health Initiative, neither pre-existing diabetes nor hypertension increased PM2.5 and PM10-attributable stroke risk [34]. Post-menopausal women were analyzed, limiting the study’s generalizability. The China-PAR project found no effect of diabetes or hypertension on PM2.5-related stroke, IS, or HS risk [47]. Studies included in this section are from both high-income and developing countries. Overall, the data is mixed with some studies suggesting an effect of hypertension and diabetes on stroke, while others do not. There is no clear difference between high-income and developing countries, but there are too few studies to make definitive conclusions.
Limitations and next steps
A limitation of this review is that PubMed was the sole database that was queried and therefore studies that were present in other databases may have been missed. Our PubMed search resulted in a wide range of studies and it was felt that the literature was adequately summarized through our search. There have been a number of prior literature reviews focusing on the association between air pollution and stroke. However, this review investigates the effects of both short- and long-term PM exposure on IS and HS, as well as identifies possible factors that may influence the association between PM and stroke.
The majority of the studies used were retrospective (19 case-crossover, eight time-series, two ecological studies, five database studies). There were five prospective cohort studies. A total of five meta-analyses were included in this review. Prospective studies are subject to less bias than retrospective studies, which may have influenced our results given that a majority of the studies were retrospective in nature [72].
Overall, data on the association between particulate matter and hemorrhagic stroke is limited and requires additional research. Future studies are needed to clearly delineate whether sex influences the association between PM and stroke. There have been a limited number of studies evaluating the effects of hypertension and other comorbidities on PM-associated stroke. Future investigations should focus on the influence of comorbidities on PM-associated ischemic and hemorrhagic stroke.
Conclusions
Particulate matter exposure differentially influences ischemic and hemorrhagic stroke risk. Short- and long-term PM exposure increases IS risk in heavily and lightly polluted regions. The association between PM exposure and HS risk is less clear and may depend on the level of ambient air pollution present in a country. Older patients and patients with pre-existing diabetes may be uniquely susceptible to the adverse effects of PM. Future studies are needed to determine the effect of PM exposure on HS and the influence of sex and hypertension on PM-associated stroke risk. Improving air quality standards and monitoring those most vulnerable to PM toxicity may mitigate the detrimental health effects of PM and reduce healthcare costs.
Acknowledgments
Figure 2 was created using BioRender.com.
The authors have declared financial relationships, which are detailed in the next section.
William J. Mack declare(s) personal fees and stock/stock options from Rebound Therapeutics. Consultant and Investor. William J. Mack declare(s) personal fees and stock/stock options from Viseon. Consultant and Investor. William J. Mack declare(s) personal fees from Integra. Consultant. William J. Mack declare(s) stock/stock options from Cerebrotech. Investor. William J. Mack declare(s) personal fees and stock/stock options from Q’Apel. Consultant and Investor. William J. Mack declare(s) personal fees from Stryker. Consultant. William J. Mack declare(s) personal fees and stock/stock options from Spartan Micro. Consultant and Investor. William J. Mack declare(s) personal fees from Stream Biomedical. Consultant. William J. Mack declare(s) stock/stock options from Endostream. Investor. William J. Mack declare(s) stock/stock options from Truvic. Investor. William J. Mack declare(s) personal fees and stock/stock options from Imperative Care. Consultant and Investor
Funding Statement
This work was supported by the National Institute of Health/ National Institute of Neurological Disorders (grant RF1NS130681) and National Institute of Health/ National Institute of Aging (grant P01AG055367) to William J. Mack.
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