Antihypertensive therapy is associated with improved visuospatial, executive, attention, abstraction, memory, and recall scores on the montreal cognitive assessment in geriatric hypertensive patients
Bibliographic record
Abstract
Background: The prevalence of Mild Cognitive Impairment (MCI) has increased over the past few decades. However, it can potentially be reversed if detected early. Early detection of MCI using the sensitive Montreal Cognitive Assessment (MoCA) might prove to be an important cog in the wheel in identifying and slowing down this morbid pandemic in hypertensive persons. Objectives: To study the association of antihypertensive agents on cognitive scores and prevalence of MCI using the MoCA. Materials and methods: This is a single-center, controlled, observational, cross-sectional study in a tertiary care teaching hospital in India. Cognitive assessment was done using the Montreal Cognitive Assessment. Data on MoCA scores were comprehensively analyzed. Results: = 105 the in study and control groups) were included in the study. The median (IQR) MoCA score (out of 30 points) in patients taking antihypertensives was 26 (25 - 27), while it was 24 (22 - 25) in the control group. There was no difference in MoCA scores between patients taking lipophilic or hydrophilic antihypertensives. Similarly, there was no difference in MoCA scores between patients taking different drug regimens. Conclusion: Anti-hypertensive therapy and lower blood pressure had a statistically significant positive association with visuospatial, executive, attention, abstraction, memory, and recall MoCA scores. Patients on antihypertensive therapy also had a lower prevalence of MCI. MoCA scores were similar in patients on either lipophilic or hydrophilic drugs and were similar between patients on different antihypertensive drug classes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".