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Infection As a Stroke Risk Factor and Determinant of Outcome After Stroke

Overview
Journal Stroke
Date 2020 Sep 8
PMID 32897811
Citations 107
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Abstract

Understanding the relationship between infection and stroke has taken on new urgency in the era of the coronavirus disease 2019 (COVID-19) pandemic. This association is not a new concept, as several infections have long been recognized to contribute to stroke risk. The association of infection and stroke is also bidirectional. Although infection can lead to stroke, stroke also induces immune suppression which increases risk of infection. Apart from their short-term effects, emerging evidence suggests that poststroke immune changes may also adversely affect long-term cognitive outcomes in patients with stroke, increasing the risk of poststroke neurodegeneration and dementia. Infections at the time of stroke may also increase immune dysregulation after the stroke, further exacerbating the risk of cognitive decline. This review will cover the role of acute infections, including respiratory infections such as COVID-19, as a trigger for stroke; the role of infectious burden, or the cumulative number of infections throughout life, as a contributor to long-term risk of atherosclerotic disease and stroke; immune dysregulation after stroke and its effect on the risk of stroke-associated infection; and the impact of infection at the time of a stroke on the immune reaction to brain injury and subsequent long-term cognitive and functional outcomes. Finally, we will present a model to conceptualize the many relationships among chronic and acute infections and their short- and long-term neurological consequences. This model will suggest several directions for future research.

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References
1.
Ji Y, An L, Zhan P, Chen X . Cytomegalovirus infection and coronary heart disease risk: a meta-analysis. Mol Biol Rep. 2012; 39(6):6537-46. DOI: 10.1007/s11033-012-1482-6. View

2.
Dames C, Winek K, Beckers Y, Engel O, Meisel A, Meisel C . Immunomodulatory treatment with systemic GM-CSF augments pulmonary immune responses and improves neurological outcome after experimental stroke. J Neuroimmunol. 2018; 321:144-149. DOI: 10.1016/j.jneuroim.2018.03.005. View

3.
Stanley D, Mason L, Mackin K, Srikhanta Y, Lyras D, Prakash M . Translocation and dissemination of commensal bacteria in post-stroke infection. Nat Med. 2016; 22(11):1277-1284. DOI: 10.1038/nm.4194. View

4.
Iwashyna T, Wesley Ely E, Smith D, Langa K . Long-term cognitive impairment and functional disability among survivors of severe sepsis. JAMA. 2010; 304(16):1787-94. PMC: 3345288. DOI: 10.1001/jama.2010.1553. View

5.
Palm F, Pussinen P, Aigner A, Becher H, Buggle F, Bauer M . Association between infectious burden, socioeconomic status, and ischemic stroke. Atherosclerosis. 2016; 254:117-123. DOI: 10.1016/j.atherosclerosis.2016.10.008. View