Rich-Club Organization: An Important Determinant of Functional Outcome After Acute Ischemic Stroke
Year: 2019
Type: article
Study design: Observational Study
Abstract: Objective To determine whether the rich-club organization, essential for information transport in the human connectome, is an important biomarker of functional outcome after acute ischemic stroke (AIS). Methods Consecutive AIS patients (N=344) with acute brain magnetic resonance imaging (MRI) (<48 hours) were eligible for this study. Each patient underwent a clinical MRI protocol, which included diffusion weighted imaging (DWI). All DWIs were registered to a template on which rich-club regions have been defined. Using manual outlines of stroke lesions, we automatically counted the number of affected rich-club regions and assessed its effect on the National Institute of Health Stroke Scale (NIHSS) and modified Rankin Scale (mRS; obtained at 90 days post-stroke) scores through ordinal regression. Results Of 344 patients (median age 65, inter-quartile range 54-76 years) with a median DWI lesion volume (DWIv) of 3cc, 64% were male. We established that an increase in number of rich-club regions affected by a stroke increases the odds of poor stroke outcome, measured by NIHSS (OR: 1.77, 95%CI 1.41-2.21) and mRS (OR: 1.38, 95%CI 1.11-1.73). Additionally, we demonstrated that the OR exceeds traditional markers, such as DWIv (OR NIHSS 1.08, 95%CI 1.06-1.11; OR mRs 1.05, 95%CI 1.03-1.07) and age (OR NIHSS 1.03, 95%CI 1.01-1.05; OR mRs 1.05, 95%CI 1.03-1.07). Conclusion In this proof-of-concept study, the number of rich-club nodes affected by a stroke lesion presents a translational biomarker of stroke outcome, which can be readily assessed using standard clinical AIS imaging protocols and considered in functional outcome prediction models beyond traditional factors.
Source: Frontiers in Neurology
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,950
Awards: Assessment of Reserve: Translational Evaluation of Medical Images and Statistics - Prediction models for outcomes of brain health, MRI-GENetics Interface Exploration_MRI-GENIE_Study, Statins augment small vessel function and improve stroke outcomes, G434337789, G4767725784, Genetic variation in white matter hyperintensity and risk of ischemic stroke, Specialized Programs of Translational Research in Acute Stroke at the Partners, Center for Functional Imaging Technologies, Advanced Neuroimaging to Predict Functional Outcomes After Ischemic Stroke
OpenAlex ID: W2969705773
