Abstract P183: Effects Of L-arginine Supplementation On Cognitive Impairment In Hypertensive Frail Elderly Adults
Bibliographic record
Abstract
Background: L-Arginine is an amino acid which is involved in nitric oxide production regulating vascular tone and cardiovascular homeostasis. Hypertension is one of the most common comorbidities worldwide, and leads to endothelial dysfunction contributing to atherosclerosis, inflammation, and oxidative stress. Frailty is a syndrome of decreased physiological reserves with increased susceptibility to stressors leading to higher mortality, hospitalization, disability, and functional and cognitive impairment. Cognitive impairment is a very common feature in hypertensive frail older adults. Hence, it is very important to treat cognitive impairment to delay and/or prevent adverse events. Our study, thus, investigated the effects of 4-weeks supplementation of L-Arginine on global cognitive function. Methods: We studied 101 frail older patients from April 2020 to April 2021. All subjects were recruited from ASL (local health company of Italian Ministry of Health) Avellino, Italy. All patients fulfilled all of the following inclusion criteria: a previous diagnosis of hypertension, a confirmed frail status, age >65 years. The exclusion criteria were: age <65 years, absence of frailty status, absence of hypertension, left ventricular ejection fraction <25%, with previous myocardial infarction or previous PPCI or/and coronary by-pass grafting, or previous fibrinolytic therapy. The study was approved by the local Ethics Committee and a written consent was signed. Results: We are reporting here the results in 52 patients who hitherto successfully completed the study. The cognitive screening was available at baseline (before treatment) and during a follow-up of 4 weeks. The non-treated group (n=27) had a Montreal Cognitive Assessment (MoCA) score 22.9±0.9 at basal and 23.4±1.0 at follow-up (p=0.06). The treated group (oral L-Arginine, 1.66 g, twice a day; n=25) displayed a MoCA score 23.1±0.7 at basal and 24.2±0.6 at follow-up (p<0.001); the difference between the follow-up groups was significant as well (p<0.001). Conclusions: Our data show a significant improvement in the MoCA score in the group treated with L-Arginine. More extensive studies are needed to verify the efficacy of L-Arginine in this population.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".