Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023;52(1):117-122.
doi: 10.1159/000524723. Epub 2022 Jun 27.

Stratifying Future Stroke Risk with Incidentally Discovered White Matter Disease Severity and Covert Brain Infarct Site

Affiliations

Stratifying Future Stroke Risk with Incidentally Discovered White Matter Disease Severity and Covert Brain Infarct Site

Andy Y Wang et al. Cerebrovasc Dis. 2023.

Retraction in

  • Retraction Statement.
    Wang AY, Leung LY, Puttock EJ, Luetmer PH, Kallmes DF, Nelson J, Fu S, Zheng C, Liu H, Chen W, Kent DM. Wang AY, et al. Cerebrovasc Dis. 2024;53(3):361. doi: 10.1159/000531108. Epub 2023 Dec 11. Cerebrovasc Dis. 2024. PMID: 38081149 Free PMC article. No abstract available.

Abstract

Background: Covert cerebrovascular disease (CCD) includes white matter disease (WMD) and covert brain infarction (CBI). Incidentally discovered CCD is associated with increased risk of subsequent symptomatic stroke. However, it is unknown whether the severity of WMD or the location of CBI predicts risk.

Objectives: The aim of this study was to examine the association of incidentally discovered WMD severity and CBI location with risk of subsequent symptomatic stroke.

Method: This retrospective cohort study includes patients aged ≥50 years old in the Kaiser Permanente Southern California health system who received neuroimaging for a nonstroke indication between 2009 and 2019. Incidental CBI and WMD were identified via natural language processing of the neuroimage report, and WMD severity was classified into grades.

Results: A total of 261,960 patients received neuroimaging; 78,555 patients (30.0%) were identified to have incidental WMD and 12,857 patients (4.9%) to have incidental CBI. Increasing WMD severity is associated with an increased incidence rate of future stroke. However, the stroke incidence rate in CT-identified WMD is higher at each level of severity compared to rates in MRI-identified WMD. Patients with mild WMD via CT have a stroke incidence rate of 24.9 per 1,000 person-years, similar to that of patients with severe WMD via MRI. Among incidentally discovered CBI patients with a determined CBI location, 97.9% are subcortical rather than cortical infarcts. CBI confers a similar risk of future stroke, whether cortical or subcortical or whether MRI- or CT-detected.

Conclusions: Increasing severity of incidental WMD is associated with an increased risk of future symptomatic stroke, dependent on the imaging modality. Subcortical and cortical CBI conferred similar risks.

Keywords: Covert brain infarction; Covert cerebrovascular disease; Stroke; White matter disease.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest Statement

The authors have no conflicts of interest to declare.

Figures

Fig. 1.
Fig. 1.
Kaplan-Meier curves depicting stroke-free survival by white matter disease severity grade and neuroimaging modality.

References

    1. Kent DM, Leung LY, Zhou Y, Luetmer PH, Kallmes DF, Nelson J, et al. Association of Silent Cerebrovascular Disease Identified Using Natural Language Processing and Future Ischemic Stroke. Neurology. 2021;97(13):e1313-e21. - PMC - PubMed
    1. Gupta A, Giambrone AE, Gialdini G, Finn C, Delgado D, Gutierrez J, et al. Silent Brain Infarction and Risk of Future Stroke: A Systematic Review and Meta-Analysis. Stroke. 2016;47(3):719–25. - PMC - PubMed
    1. Debette S, Markus HS. The clinical importance of white matter hyperintensities on brain magnetic resonance imaging: systematic review and meta-analysis. BMJ. 2010;341:c3666. - PMC - PubMed
    1. Fu S, Leung LY, Wang Y, Raulli AO, Kallmes DF, Kinsman KA, et al. Natural Language Processing for the Identification of Silent Brain Infarcts From Neuroimaging Reports. JMIR Med Inform. 2019;7(2):e12109. - PMC - PubMed
    1. Flueckiger P, Longstreth W, Herrington D, Yeboah J. Revised Framingham Stroke Risk Score, Nontraditional Risk Markers, and Incident Stroke in a Multiethnic Cohort. Stroke. 2018;49(2):363–9. - PMC - PubMed

Publication types

MeSH terms