Cognitive Performance following Lacunar Stroke in Spanish-Speaking Patients: Results from the SPS3 Trial
Bibliographic record
Abstract
BACKGROUND: Cognitive impairment is frequent in lacunar stroke patients. The prevalence and pattern among Spanish-speaking patients are unknown and have not been compared across regions or with English-speaking patients. AIMS: The aim of this study was to characterize cognitive impairment in Spanish-speaking patients and compare it with English-speaking patients. METHODS: The baseline neuropsychological test performance and the prevalence of mild cognitive impairment, defined as a z-score ≤ -1.5 on memory and/or non-memory tests, were evaluated in Spanish-speaking patients in the Secondary Prevention of Small Subcortical Strokes trial. RESULTS: Out of 3020 participants, 1177 were Spanish-speaking patients residing in Latin America (n = 693), the United States (n = 121), and Spain (n = 363). Low education (zero- to eight-years) was frequent in Spanish-speaking patients (49-57%). Latin American Spanish-speaking patients had frequent post-stroke upper extremity motor impairment (83%). Compared with English-speaking patients, all Spanish-speaking patient groups had smaller memory deficits and larger non-memory/motor deficits, with Latin American Spanish-speaking patients showing the largest deficits median z-score -1.3 to -0.6 non-memory tests; ≤5.0 for Grooved Pegboard; -0.7 to -0.3 for memory tests). The prevalence of mild cognitive impairment was high and comparable with English-speaking patients in the United States and Latin American Spanish-speaking patients but not the Spanish group: English-speaking patients = 47%, Latin American Spanish-speaking patients = 51%, US Spanish-speaking patients = 40%, Spanish Spanish-speaking patients = 29%, with >50% characterized as non-amnestic in Spanish-speaking patient groups. Older age [odds ratio per 10 years = 1.52, confidence interval = 1.35-1.71), lower education (odds ratio 0-4 years = 1.23, confidence interval = 0.90-1.67), being a Latin American resident (odds ratio = 1.31, confidence interval = 0.87-1.98), and post-stroke disability (odds ratio Barthel Index <95 = 1.89, confidence interval = 1.43-2.50) were independently associated with mild cognitive impairment. CONCLUSIONS: Mild cognitive impairment in Secondary Prevention of Small Subcortical Strokes Spanish-speaking patients with recent lacunar stroke is highly prevalent but has a different pattern to that observed in English-speaking patients. A combination of socio-demographics, stroke biology, and stroke care may account for these differences.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".