The Impact of Medication Compliance on mild Cognitive Impairment in Hypertensive Individuals: A Cohort Study
Bibliographic record
Abstract
Objectives: The study was designed to evaluate if antihypertensive drug compliance has a protective role against mild cognitive impairment (MCI). Further to assess the prevalence and factors associated with MCI among older adults in Indian population. Our study also focused on serum creatinine level correlation with blood pressure and cognitive impairment. Materials and Methods: The investigation was carried out at multi-specialty hospitals. The experimental protocol was approved by Ethical Committee constituted as per guidelines of Indian Council of Medical Research (ICMR). 168 subjects were enrolled, having age≥50 years and with hypertension≥ 5 years; does not meet the diagnostic criteria for dementia as defined by ICD-10. Subjects were assessed by using Mini Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA) for MCI, further assessed by various cognitive domain specific tests. Statistical analysis: Analysis was done using SPSS software version 25.0. Results: Females dominated the study population with a mean age of 59.92± 8.52 yrs. 57.73 percent of population belongs to rural background. Cognitive impairment was more prevalent in non-complaint group (85.9%) than in compliant group (49%). Mean MMSE score of non-complaint group 25.53± 2.54 compared to 27.30± 1.90 in complaint group (p< 0.001) and mean MoCA score was 22.39± 3.28 compared to 24.93± 2.43 in complaint group (p< 0.001). Cognition sub- domains were found to be affected. Conclusion: In accordance with above study compliance/adherence to antihypertensive medicines indicates a protective effect on brain cognition. Because hypertension patients experience cognitive deterioration at a high rate, a thorough cognitive assessment is necessary as part of an overall evaluation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".