Silent Ischemic Stroke Was Revealed after Screening for Cognitive Dysfunction in a Hypertensive Patient with New Onset Atrial Fibrillation – Case Report
Bibliographic record
Abstract
Abstract Introduction : Hypertension is one of the most important modifiable risk factor related to cognitive decline and dementia. However, screening for cognitive dysfunction is not part of the routine clinical assessment. Case presentation : In this report, we present the case of a 75 year old hypertensive male patient with new-onset atrial fibrillation, admitted to the Cardiovascular Rehabilitation Clinic Târgu Mureș. Apart from the routine clinical assessment, the evaluation of cognitive functions was performed with three different screening instruments which identified cognitive dysfunction. Depressive state was assessed with the shortened 13 items form of the Beck Depression Inventory BDI-13 (BDI-13) and it showed moderate depression which could influence the results of cognitive tests. Detection of cognitive impairment was followed by magnetic resonance imaging, which revealed not only hypertension specific microvascular impairment but also a sequelae of a former stroke in the territory of the left middle cerebral artery and a possible meningioma. Conclusion : Screening for cognitive dysfunction in high-risk hypertensive patients can be easily performed and in several cases like ours, can unmask silent cerebrovascular pathologies, leading to prognostic and therapeutic consequences.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".