Lacunar Infarcts: Functional and Cognitive Outcomes at Five Years in Relation to MRI Findings
Bibliographic record
Abstract
BACKGROUND: There are few long-term follow-up studies of patients with lacunar infarcts (LIs). The purpose of this 5-year follow-up study was to assess functional and cognitive outcome in relation to MRI findings. METHODS: 81 patients with a first-ever LI were followed for 5 years with respect to mortality, stroke recurrence, functional and cognitive outcome. T(2)-weighted MRI was performed at baseline and at 5 years. The presence of basal ganglia lesions and white matter lesions was scored according to the European Task Force rating scale. Functional outcome was assessed with the Oxford Handicap Scale (OHP). Cognition was assessed with the Mini Mental State Examination (MMSE). RESULTS: The 5-year mortality was 19%. Predictors for death were age (OR = 1.07, 95% CI 1.03-1.11), ischemic heart disease (OR = 2.1, 95% CI 1.1-4.1) and impairment score (OR = 1.16, 95% CI 1.02-1.32). 30% of the patients had a recurrent stroke. Predictors for recurrent stroke were diabetes mellitus (OR = 1.7, 95% CI 1.2-7.4) and amount of white matter lesions (OR = 1.7, 95% CI 1.2-2.7). 36% of the patients were functionally dependent (defined as OHP >2). Predictors for functional dependency were impairment score (OR = 1.71, 95% CI 1.12-2.59), MMSE (OR = 0.55, 95% CI 0.33-0.91) and stroke recurrence (OR = 84, 95% CI 9.4-745). 16% of the patients had cognitive impairment (defined as MMSE <24). Stroke recurrence and white matter score, but not basal ganglia score, were correlated to cognitive impairment. CONCLUSIONS: Many LI patients have a good functional outcome at 5 years. For older patients, for patients with an initial severe stroke, and with additional vascular risk factors, however, the prognosis is more severe, with an increased risk for mortality, stroke recurrence, and physical and cognitive decline.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".