Screening for mild cognitive impairment in patients with cardiovascular risk factors
Bibliographic record
Abstract
Teodora Yaneva-Sirakova,1 Latchezar Traykov,2 Julia Petrova,2 Ivan Gruev,3 Dobrin Vassilev1 1Department of Internal Medicine, Cardiology Clinic, 2Department of Neurology, Neurology Clinic, Medical University Sofia, 3Cardiology Clinic, National Transport Hospital “Tsar Boris III”, Sofia, Bulgaria Aim: Cardiovascular risk factors are also risk factors for cognitive impairment. They have cumulative effect in target organ damage. The precise correlation between cardiovascular risk factors and cognitive impairment, as well as assessing the extent to which they may affect cognitive functioning, is difficult to ascertain in everyday clinical practice. Quick, specific, and sensitive neuropsychological tests may be useful in screening for, and the prophylaxis of, target organ damage in hypertensive patients.Methods: We gathered full anamnesis, performed physical examination, laboratory screening and echocardiography. These variables were observed at office and home for all patients, For half of the patients, 24-hour ambulatory blood pressure monitoring and neuropsychological testing using Montreal Cognitive Assessment (MoCA), Mini Mental State Examination (MMSE), Geriatric Depression Scale, and the 4-instrumental activities of daily living scale were undertaken.Results: For a period of 2 years, 931 patients were included after applying the inclusion and exclusion criteria. The mean age was 65.90±10.00 years. Two hundred and sixty three patients (85 [32.32%] males and 178 [67.68%] females) were reevaluated after a mean follow-up period of 12 months (6–20 months). The mean results of MoCA and MMSE were significantly lower (p<0.05) in the group of patients with poorly controlled blood pressure and cardiovascular risk factors. There was mild to intermediate negative correlation between Systematic Coronary Risk Evaluation (SCORE) and the neuropsychological tests’ results.Conclusion: Cardiovascular risk factors play an important role for the development of cognitive impairment in the eastern European population because of their high frequency and interaction. The use of easily applicable neuropsychological tests in everyday clinical practice of specialties other than neurology may help in stratifying the risk for development and progression of mild cognitive impairment in this high-risk group. Keywords: arterial hypertension, cardiovascular risk factors, mild cognitive impairment, MoCA, pulse pressure, systolic pressure
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".