RESUMEN
We investigated the effects of individual and cumulative cerebral small vessel disease (SVD) markers on long-term clinical outcomes in spontaneous intracerebral hemorrhage (sICH) patients. This prospective, single-center cohort study was conducted from 2012 to 2019. SVD markers, including lacunae, cerebral microbleeds, white matter hyperintensity (WMH), and perivascular spaces in the basal ganglia, were assessed to calculate a summary SVD score. Patients were categorized into severe (score ≥3) and non-severe (score 0-2) SVD burden groups. Functional prognosis was defined as recovery, no change, or decline based on modified Rankin Scale changes at 2 years after discharge, excluding death. Associations of SVD burden and individual SVD markers with outcomes were evaluated using Cox proportional hazards modeling for recurrent stroke and all-cause mortality, and using ordinal logistic regression for functional prognosis. Among 155 sICH patients who underwent MRI, 98 showed severe SVD burden. Recurrent stroke and all-cause mortality rates were 2.2 and 8.3 per 100 patient-years, respectively, over a median 2.1-year follow-up. In terms of functional prognosis, 57 patients (51.8%) recovered, 32 (29.1%) showed no change, and 21 (19.1%) declined. A significant association was apparent between severe SVD burden and poorer functional prognosis (odds ratio [OR] 2.48, 95% confidence interval [CI] 1.04-6.04; p = 0.042), particularly with moderate-to-severe WMH (OR 2.54, 95%CI 1.02-6.54; p = 0.048). The cumulative effects of SVD markers inhibited long-term functional recovery in sICH patients. Severe SVD burden, as well as moderate-to-severe WMH, can be indicators of long-term prognosis after sICH.
RESUMEN
Introduction: Cerebral small vessel disease (SVD) is one of the leading causes of stroke; each neuroimaging marker of SVD is correlated with vascular risk factors and associated with poor prognosis after stroke. However, longitudinal studies investigating the association between comprehensive SVD burden scoring system, "total SVD score" - which encompasses the established neuroimaging markers of lacunae, cerebral microbleeds (CMBs), white matter hyperintensities (WMH) including periventricular hyperintensities, and perivascular spaces in basal ganglia- and clinical outcomes are limited. The aim of this study is to determine the association between SVD burden and long-term prognosis in patients with ischemic stroke. Methods and design: This prospective, single-center, observational study enrolled patients with acute ischemic stroke, including cerebral infarction and transient ischemic attack. Magnetic resonance imaging scans were performed, and then total SVD score (range, 0-4) was calculated. We recorded baseline characteristics and evaluated the relationships of long-term outcomes to SVD neuroimaging markers and total SVD score. Stroke recurrence was thought as primary outcome. Hazard ratios (HRs) of events during follow-up were calculated using Cox proportional hazards modeling with adjustments for age, sex, hypertension, dyslipidemia, diabetes mellitus, atrial fibrillation, and smoking. Cumulative event rates were estimated using the Kaplan-Meier method. Results: Consecutive 564 acute ischemic stroke patients were enrolled according to inclusion and exclusion criteria. A total of 467 participants with first-ever ischemic stroke were analyzed (median age 75.0 [interquartile range, 64.0-83.0] years, 59.3% male). Total SVD score was 0 point in 47 individuals (12.0%), 1 point in 83 (21.2%), 2 points in 103 (26.3%), 3 points in 85 (21.7%), and 4 points in 73 (18.7%). Twenty-eight recurrent stroke events were identified during follow-up. Total SVD score ≥ 2, presence of CMBs, and moderate-to-severe WMH were associated with increased risk of recurrent stroke events (HR 9.31, 95% confidence interval [CI] 2.33-64.23; HR 2.81, 95% CI 1.08-7.30; HR 2.90, 95% CI 1.22-6.88, respectively). Conclusion: The accumulation of SVD biomarkers as determined by total SVD score offered a reliable predictor of stroke recurrence. This study established a firm understanding of SVD prognosis in clinical settings.