| Literature DB >> 36213103 |
Jamie S Y Ho1, Eric Jou2, Benjamin Y Q Tan3,4, Vijay K Sharma3,4.
Abstract
Air pollution is a significant contributor of cardiovascular diseases, including ischaemic stroke (IS), with substantial mortality and morbidity. However, associations between air pollution and IS remain unclear. Limited data are available on the relationship between IS and individual air pollutants. In this systematic review, we present an overview of the current literature about various individual ambient air pollutants that are believed to contribute towards incidence of hospitalization and mortality related to IS. Copyright:Entities:
Keywords: Air pollutant; air pollution; cerebrovascular accident; environmental epidemiology; environmental health; haze; ischemic stroke
Year: 2022 PMID: 36213103 PMCID: PMC9540827 DOI: 10.4103/aian.aian_1130_21
Source DB: PubMed Journal: Ann Indian Acad Neurol ISSN: 0972-2327 Impact factor: 1.714
Meta-analysis of short-term exposure to air pollutants and stroke
| Author | Year | Database | Number of studies | Pollutant | HR (95% CI) |
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| Incidence or admission | ||||||
| Niu | 2021 | Pubmed, Embase, Web of Science | 19 | PM2.5 | 1.008 (1.005-1.011) | 96.6% |
| 15 | PM10 | 1.004 (1.001-1.006) | 92.7% | |||
| 13 | SO2 | 1.013 (1.007-1.020) | 94.5% | |||
| 15 | NO2 | 1.023 (1.015-1.030) | 92.6% | |||
| 8 | CO | 1.000 (1.000-1.001) | 92.7% | |||
| 15 | O3 | 1.002 (1.000-1.003) | 80.2% | |||
| Fu | 2019 | Pubmed | 54 | PM2.5 | 1.01 (1.01-1.02) | 94.1% |
| Yang | 2014 | Pubmed, Embase, Web of Science | 8 | PM2.5 | 1.012 (1.002-1.022) | 38.2% |
| 21 | PM10 | 1.006 (1.003-1.009) | 76.2% | |||
| 22 | SO2 | 1.015 (1.007-1.024) | 74.0% | |||
| 16 | CO | 1.030 (1.007-1.053) | 76.0% | |||
| 24 | NO2 | 1.022 (1.012-1.033) | 82.6% | |||
| 20 | O3 | 1.005 (1.000-1.010) | 66.2% | |||
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| Shah | 2015 | Medline, Embase, CINAHL, Web of Science | 41 | PM2.5 | 1.011 (1.011-1.012) | 86% |
| 78 | PM10 | 1.003 (1.002-1.004) | 24% | |||
| 52 | SO2 | 1.019 (1.011-1.027) | 32% | |||
| 70 | NO2 | 1.014 (1.009-1.019) | 52% | |||
| 37 | CO | 1.015 (1.004-1.026) | 68% | |||
| 53 | O3 | 1.001 (1.000-1.002) | 58% | |||
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| Niu | 2021 | Pubmed, Embase, Web of Science | 12 | PM2.5 | 1.008 (1.005-1.012) | 89.2% |
| 10 | PM10 | 1.006 (1.003-1.010) | 83.3% | |||
| 6 | SO2 | 1.006 (1.005-1.008) | 45.8% | |||
| 10 | NO2 | 1.009 (1.003-1.016) | 70.1% | |||
| 5 | CO | 1.045 (0.980-1.115) | 50.6% | |||
| 6 | O3 | 1.005 (0.999-1.010) | 84.8% | |||
| Fu | 2019 | Pubmed | 9 | PM2.5 | 1.02 (1.01-1.04) | 92.13% |
| Yang | 2014 | Pubmed | 8 | PM2.5 | 1.013 (1.003-1.024) | 38.2% |
| 21 | PM10 | 1.007 (1.005-1.008) | 76.2% | |||
| 22 | SO2 | 1.025 (1.018-1.031) | 74.0% | |||
| 16 | CO | 1.078 (1.005-1.116) | 76.0% | |||
| 24 | NO2 | 1.015 (1.004-1.026) | 82.6% | |||
| 20 | O3 | 1.014 (0.995-1.032) | 66.2% | |||
Meta-analysis of long-term exposure to air pollutants and stroke
| Author | Year | Database | Number of studies | Pollutant | HR (95% CI) |
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| Incidence or admission | ||||||
| Alexeeff | 2021 | Pubmed | 14 | PM2.5 | 1.13 (1.11-1.15) | 0% |
| Fu | 2019 | Pubmed, | 15 | PM2.5 | 1.02 (1.01-1.02) | 93.0% |
| Yuan | 2019 | Pubmed, Embase, Medline | 13 | PM2.5 | 1.11 (1.05-1.17) | 77.1% |
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| Alexeeff | 2021 | Pubmed | 17 | PM2.5 | 1.24 (1.13-1.36) | 94.4% |
| Fu | 2019 | Pubmed, | 13 | PM2.5 | 1.03 (1.02-1.04) | 64.0% |
| Yuan | 2019 | Pubmed, Embase, Medline | 6 | PM2.5 | 1.11 (1.05-1.17) | 26.1% |