MPS 08-07 CEREBROVASCULAR RESISTANCE INDEX AND COGNITIVE IMPAIRMENT IN ESSENTIAL HYPERTENSIVE PATIENTS
Bibliographic record
Abstract
Objective: To evaluate the relationship between parameters of cerebral blood flow and cognitive function in pts with essential hypertension (EH). Design and Method: Doppler ultrasonography, 24 h blood pressure monitoring were performed in 141 pts (61.8 ± 0.94 years; 78 males) with EH. We measured blood flow velocities (BFV) in media (MCA), anterior (ACA), posterior (PCA) cerebral arteries and calculated cerebrovascular resistance index (CVRI) for each artery. Cognitive function was assessed in all pts by Montreal cognitive assessment (MoCA) test. All patients were divided into 2 groups depending on the MoCA results: group I (n = 79) – MoCA score ≥26, group II (n = 62) - MoCA score < 26. Results: Patients of II gr. had significantly lower BFV min in MCA, ACA, PCA (accordingly: MCA – 0.46 ± 0.03 vs 0.62 ± 0.04 m/s, p < 0.05, ACA – 0.34 ± 0.02 vs 0.45 ± 0.03 m/s, p < 0.05, PCA – 0.25 ± 0.01 vs 0.36 ± 0.02 m/s, p < 0.05) and significantly higher CVRI than pts of I gr. (accordingly: MCA – 169.21 ± 10.28 vs 130.47 ± 8.47 mmHg/m/s, ACA – 271.65 ± 21.32 vs 180.16 ± 20.25 mmHg/m/s, PCA – 407.12 ± 24.28 vs 252.03 ± 21.58 mmHg/m/s, p < 0.05). Changes of BFV max and mean were not significant. MoCA results were related to MCA BFV min (r = −0.46; p < 0.01), CVRI (r = 0.52; p < 0.05). The same relations were between MoCA results and BFV parameters of ACA and PCA. After adjustment for 24 h SBP and DBP, 24hI SBP, variability of nighttime SBP and DBP these relationships were not significant. Multiple regression analysis has shown that CVRI is predictor of cognitive impairment in pts with EH. Conclusions: Cognitive function in patients with EH related to increase vascular resistance manifesting through decrease minimal blood flow and increase vascular resistance indexes in media, anterior, posterior cerebral arteries. These changes are caused by high 24 h SBP and DBP, variability of nighttime SBP and DBP, low SBP 24 h index. CVRI is predictor of cognitive impairment in pts with EH.
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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 | 0.000 |
| 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) | 0.002 | 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".