COGNITIVE FUNCTION AND CAROTID STRUCTURE OVER LONG-TERM OBSERVATION IN PATIENTS WITH RESISTANCE HYPERTENSION
Bibliographic record
Abstract
Objective: to investigate the changes of cognitive function and carotid structure in patients with résistance hypertension (RH) over 24 months observation Design and method: In 51 pts with RH (average age 52,3 ± 0,9; 27 males) we measured ultrasonographically diameter (D) of common carotid arteries (CCA), carotid intima-media thickness (IMT) value at the carotid bifurcations and at the level of CCA, blood flow velocities (BFV) of CCA, internal carotid arteries (ICA) and cognitive function by Montreal cognitive assessment (MoCA) test twice: at baseline and after 24 months. Changes in D CCA, IMT and MoCA test were defined as a difference between subject's baseline D CCA, IMT, MoCA test and subsequent measurements obtained 24 months later. All pts received 4 antihypertensive drugs during observation period Results: systolic and diastolic blood pressure were significantly decreased at the end of observation period. Carotid diameter and IMT value at the level of CCA were significantly decreased during observation period (DCCA from 8,6 ± 0,03 to 8,3 ± 0,03 mm, p = 0,02, CCA IMT from 1,24 ± 0,02 to 1,11 ± 0,02 mm, p = 0,01). IMT value at carotid bifurcation didn’t change significantly. We observed improvement in cognitive function: MoCA test results at baseline was 22,2 ± 0,5 after 24 months - 24,9 ± 0,5. The end diastolic BFV in CCA, ICA were significantly increased (accordingly: CCA – 0,14 ± 0,03 vs 0,34 ± 0,03m/s, p = 0,001, ICA – 0,23 ± 0,02 vs 0,48 ± 0,03m/s, p = 0,001) and resistance index (RI) of ICA was significantly decreased from 0,65 ± 0,02 to 0,61 ± 0,02. Changes of peak systolic BFV were not significant. Changes of MoCA results were related to IMT value at the level of CCA at baseline and at the end of observation (accordingly: r = -0,81; p < 0,01 and r = -0,79; p < 0,02). The same relations were between MoCA results and IMT value at bifurcation CCA. Conclusions: our 24 months study showed the positive dynamics of cognitive function and carotid structure such as decreasing of carotid diameters, intima-media thickness at level CCA and carotid resistance in patients with resistance hypertension who were receiving antihypertensive treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.001 | 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".