The Correlates and Course of Depression in Patients with Lacunar Stroke: Results from the Secondary Prevention of Small Subcortical Strokes (SPS3) Study
Bibliographic record
Abstract
BACKGROUND: Little is known about post-stroke depression in patients with lacunar stroke due to cerebral small vessel disease. Our objectives were to describe the prevalence of depression, its correlates and to examine the course of depression over time in a cohort of patients with lacunar stroke, the majority of whom had mild functional disability. METHODS: Depression was determined in participants in the international Secondary Prevention of Small Subcortical Strokes (SPS3) trial which is testing antiplatelet therapies and targets of blood pressure control in patients with lacunar strokes and assessing stroke recurrence and cognitive decline. Depression was evaluated using the Patient Health Questionnaire. Multivariable logistic regression models were fitted to examine the relationship between the covariates of interest and depression. Generalized estimating equations were used to examine the likelihood of depression over time, while accounting for the multiple measurements within each subject. RESULTS: The prevalence of depression in 2,477 participants at approximately 4 months after stroke was 19%. Older age (OR 0.97; 95% CI 0.96-0.99), male gender (OR 0.62; 95% CI 0.48-0.80) and less cognitive impairment (OR 0.99; 95% CI 0.98-1.00) were independently associated with a lower risk of depression. Functional disability (OR 1.8; 95% CI 1.3-2.4), living with a spouse/family (OR 1.6; 95% CI 1.1-2.3) and risk factors for stroke (OR 1.2; 95% CI 1.0-1.3) were each independently associated with a higher risk of depression. Longitudinal modeling indicated that the likelihood of depression decreased by 1.12 times (95% CI 1.06-1.17) for each 1-year increase in time. CONCLUSIONS: One fifth of those in the SPS3 trial cohort reported depression that is sustained over time. Although this is lower than the prevalence reported for stroke in general, these results underscore the importance of early screening for post-stroke depression, treatment and follow-up to minimize the negative consequences associated with depression.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".