Correlations Between Endothelial Function and Right Ventricular Performance in Primary Hypertension
Bibliographic record
Abstract
Background: This study aims to elucidate the correlation between endothelial function and both cardiac structure and function in patients newly diagnosed with primary (essential) grade 1 hypertension. Methods: We retrospectively reviewed clinical and echocardiographic data from 109 patients attending a cardiology outpatient clinic from January to December 2022. All subjects underwent comprehensive laboratory tests including lipid profile, glucose, electrolytes, and high-sensitivity C-reactive protein, alongside echocardiography to assess cardiac function. A subset of 34 patients underwent flow-mediated dilation (FMD) testing to evaluate endothelial function, and the results categorized them into normal (FMD ≥ 6%) and reduced (FMD < 6%) endothelial function groups. Results: The study found no significant differences in baseline demographic or clinical parameters between groups. Age was negatively correlated with FMD values, indicating decreased endothelial function with advancing age. The normal endothelial function group demonstrated better diastolic and systolic parameters and lower right ventricular Tei indices compared to the reduced function group. Additionally, there was a significant negative correlation between the right ventricular Tei index and FMD values. Conclusions: Endothelial function is associated with right ventricular performance in patients with primary (essential) grade 1 systemic hypertension. Improved endothelial function is associated with better overall cardiac performance. Further studies with age-matched controls are necessary to confirm these findings and determine the independent effects of hypertension on cardiac function.
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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 | 0.002 |
| 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) | 0.001 | 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".