ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2022
Chronic cerebral infarctions and white matter lesions link to long-term survival after a first ischemic event: A cohort study.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Cerebral Small-Vessel Disease Markers on Magnetic Resonance Imaging as Predictors of Recurrent Vascular Events and Death in Ischemic Stroke: A Systematic Review and Meta-Analysis.Journal of the American Heart Association · 2025Pooled it
- Cardiovascular risk factor control in patients with covert brain infarcts in the prospective SILENT cohort study.European stroke journal · 2026Observational
- Association of cognitive reserve with transitions across cognitive states and death in older adults: A 15-year follow-up study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Chronic cerebral infarctions and white matter lesions link to long-term survival after a first ischemic event: A cohort study.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
Corrections and comments
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Authors and funding
17 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeTo investigate the association of different phenotypes, count, and locations of chronic covert brain infarctions (CBI) with long-term mortality in patients with first-ever manifest acute ischemic stroke (AIS) or transient ischemic attack (TIA). Additionally, to analyze their potential interaction with white matter hyperintensities (WMH) and predictive value in addition to established mortality scores.
methodsSingle-center cohort study including consecutive patients with first-ever AIS or TIA with available MRI imaging from January 2015 to December 2017. Blinded raters adjudicated CBI phenotypes and WMH (age-related white matter changes score) according to established definitions. We compared Cox regression models including prespecified established predictors of mortality using Harrell's C and likelihood ratio tests.
resultsA total of 2236 patients (median [interquartile range] age: 71 [59-80] years, 43% female, National Institutes of Health Stroke Scale: 2 [1-6], median follow-up: 1436 days, 21% death during follow-up) were included. Increasing WMH (per point adjusted Hazard Ratio [aHR] = 1.29 [1.14-1.45]), but not CBI (aHR = 1.21 [0.99-1.49]), were independently associated with mortality. Neither CBI phenotype, count, nor location was associated with mortality and there was no multiplicative interaction between CBI and WMH (p > .1). As compared to patients without CBI or WMH, patients with moderate or severe WMH and additional CBI had the highest hazards of death (aHR = 1.62 [1.23-2.13]). The Cox regression model including CBI and WMH had a small but significant increment in Harrell's C when compared to the model including 14 clinical variables (0.831 vs. 0.827, p < .001). DISCUSSION: WMH represent a strong surrogate biomarker of long-term mortality in first-ever manifest AIS or TIA patients. CBI phenotypes, count, and location seem less relevant. Incorporation of CBI and WMH slightly improves predictive capacity of established risk scores.
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