Features of cognitive disorders in patients with arterial hypertension of low cardiovascular risk.
Bibliographic record
Abstract
By the WHO data,Ukraineis country number1 inEuropeand number2 inthe world according to the cardiovascular mortality rate. In the structure of the prevalence of cardiovascular diseases in Ukraine, the percentage of persons of working age with arterial hypertension is 36.7%. The improvement of the prognosis of patients with arterial hypertension depends not only on long-term effective control of blood pressure, but the diagnosis and initiation of therapy at the initial stage of the development of the disease, when the target organs have not yet undergone hypertensive damage is also an important condition. The article presents the results of neuropsychological examination of 509 outpatients with a controlled second stage arterial hypertension, with an integrated assessment of cognitive functions using the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MCA) methods. It has been established that even in patients with controlled arterial hypertension stage II with a low cardiovascular risk, by SCORE scale cognitive disorders were revealed in 32,2%. The peculiarities of the development of cognitive disorders in arterial hypertension in connection with the history and course of the disease are analyzed. The majority of patients with hypertension have an increased level of anxiety, especially personality, and this is not due to the presence or absence of cognitive disorders. In patients with hypertension and cognitive disorders, on the basis of testing data by the SF-36 scale, there was a significant (p<0.001) decrease in quality of life on all scales as compared with healthy ones on average by 24.5-66.0 points.
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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 | 0.000 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".