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Published on: July 28, 2018
Cerebral small vessel disease characteristics associate with domain-specific impairments during Intracerebral
Karim Borei1, Abdulaziz T Bako2, Alan P Pan3
1Department of Neurosurgery, Houston Methodist, Houston, TX, USA.
Insights
Cerebral small vessel disease (CSVD) markers, particularly severe white matter hyperintensities (WMH), significantly increase the likelihood of moderate-severe stroke and neurological deficits in patients with intracerebral hemorrhage (ICH).
Area of Science:
- Neurology
- Radiology
- Public Health
Background:
- Cerebral Small Vessel Disease (CSVD) is linked to cognitive issues post-intracerebral hemorrhage (ICH).
- Limited data exist on the association between CSVD and admission National Institutes of Health Stroke Scale (NIHSS) scores.
Purpose of the Study:
- To investigate the relationship between CSVD burden and admission NIHSS scores in primary ICH patients.
- To determine if specific CSVD markers predict neurological deficits after ICH.
Main Methods:
- Retrieved electronic medical records for adult ICH patients with NIHSS and CSVD assessments.
- Graded CSVD burden (0-4) using MRI criteria including Fazekas scores, microbleeds, lacunes, and perivascular spaces.
- Used multivariable logistic regression to analyze associations between CSVD and outcomes like moderate-severe stroke, motor deficit, aphasia, and cortical deficit.
Main Results:
- The study included 1024 patients; 47% had moderate-severe NIHSS scores and 26% had severe CSVD.
- Periventricular white matter hyperintensity (WMH) burden independently correlated with moderate-severe NIHSS scores (aOR: 1.54).
- Deep WMH burden was independently associated with aphasia (aOR: 2.02) and motor deficit (aOR: 3.64).
Conclusions:
- Severe white matter hyperintensities (WMH) independently elevate the risk of neurological deficits in primary ICH patients.
- CSVD assessment, particularly WMH, is crucial for predicting stroke severity and outcomes in ICH.
Introduction:
Cerebral Small Vessel Disease (CSVD) is associated with cognitive disruptions after intracerebral hemorrhage (ICH), however evidence connecting CSVD to admission National Institutes of Health Stroke Scale (NIHSS) scores is limited.
Methods:
Electronic medical record data were retrieved for adult patients (>18 years) with admission for primary ICH and available NIHSS and CSVD assessment. CSVD burden was graded from 0 to 4 based on magnetic resonance imaging, with 1 point assessed for: 1) deep Fazekas score of 2-3 or periventricular (PV) Fazekas score of 3; 2) cerebral microbleed presence; 3) lacune presence; 4) > 20 basal ganglia perivascular spaces. Severe CSVD was defined as a summary score ≥ 3, and individual marker severity was assessed using the same criteria. The primary outcome was moderate-severe stroke (total NIHSS score ≥5). Secondary outcomes were severe motor deficit (motor score >12), complete aphasia (language score = 3), and cortical deficit (any impairment in language, extinction, and gaze). Associations between CSVD and NIHSS were determined using multivariable logistic regression, adjusting for major clinical and demographic factors. Adjusted odds ratios (aOR) and 95 % confidence interval (CI) are reported.
Results:
The cohort included 1024 patients (median age [interquartile range]: 71 [61-79], 53 % male). Patients were 43 % White, 23 % Black, 21 % Hispanic, 8 % Asian, 5 % other; 477 (47 %) showed moderate-severe NIHSS scores and 262 (26 %) showed severe CSVD. Periventricular white matter hyperintensity (WMH) burden was independently associated with moderate-severe NIHSS score (aOR, 95 % CI: 1.54, [1.02-2.33]). Deep WMH burden was independently associated with aphasia (2.02, [1.03-3.91]), and motor deficit (3.64, [1.15-12.19]).
Conclusion:
Severe WMH burdens independently increase odds of neurological deficit among patients with primary ICH.
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