1645 A SMALL VESSEL DISEASE SYNDROME? SYMPTOMS ASSOCIATED WITH CEREBRAL SVD PROGRESSION AND INCIDENT INFARCTS AFTER MINOR STROKE
Bibliographic record
Abstract
Abstract Introduction Small vessel disease (SVD) lesions may cause symptoms apart from stroke. We aimed to determine whether white matter hyperintensity (WMH) progression and incident infarcts associate with gait, mood, and cognitive symptoms. Method We recruited patients with non-disabling stroke (modified Rankin Scale <3), performed diagnostic MRI, and questioned participants/informants about gait, mood, cognitive, Center Epidemiologic Studies-Depression Scale (CES-D), Neuropsychiatric Inventory-Questionnaire (NPI-Q) symptoms and Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE). The baseline visit occurred < 3months post-stroke. We repeated MRI and symptoms assessments every 3-6 months for 12 months, assessing WMH change and incident infarcts (i.e. new since previous scan) on DWI or FLAIR. We analysed WMH using cubed root normalised for intracranial volume. We used linear mixed-effects models, adjusting for age, gait speed, modified Rankin Scale, and time for gait symptoms; age, anxiety, MoCA, stroke subtype, and time for cognitive/neuropsychiatric symptoms. Results We recruited 230 participants (mean age=65.8 [SD=11.2] years; 34% female; 56.5% lacunar); median baseline WMH volumes = 8.26mL (IQR 3.65-19.0); one-year = 8.24mL (IQR = 4.15-20.1). Incident infarcts (n=110, 82/110 (74.5%) small subcortical subtype) occurred in 53/230 (23%) of patients. WMH progression over one year was associated with falls (OR=4.13 [95% CI=1.6-10.1]); self-reported brain fog (OR=3.13 [95% CI=1.11-8.82]); and increasing NPI-Q scores (est=2.12 [95% CI=0.46-3.77] p=0.012). Baseline and one-year WMH volumes were cross-sectionally associated with apathy (baseline OR=8.78 [95% CI=2.56-31.88]; one-year OR=4.83 [95% CI=1.43-17.26]). Higher CES-D depression scores were associated with incident infarcts (mean 15.2 [12.9] with vs 11.9 [SD10.6] without; est=2.26 (95% CI=0.12-4.4), p=0.038). WMH progression and infarcts were not associated with fatigue, anxiety, subjective memory complaints, confusion, dizziness, or IQCODE scores. Conclusions SVD progression following minor stroke co-associates with specific gait/cognitive/mood symptoms. WMH progression and incident infarcts may cause non-focal, non-stroke symptoms which characterise a potential ‘SVD syndrome’.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".