Adipokines and Cardiometabolic Profile in Primary Hyperaldosteronism
Bibliographic record
Abstract
CONTEXT: Primary aldosteronism (PA) has been recently associated with an unfavorable cardiometabolic profile. However, whether pro- and antiinflammatory adipokines levels can vary in PA is unknown. OBJECTIVE: We evaluated the circulating levels of resistin, leptin, and adiponectin, echocardiographic left ventricle (LV) parameters, and the prevalence of metabolic syndrome (SM) in subjects with PA. PATIENTS: Seventy-five subjects with established diagnosis of PA and 232 consecutive individuals with known or suspected hypertension were enrolled. MAIN OUTCOME MEASURES: Plasma adipokine levels and echocardiographic parameters were calculated. Prevalence of SM was also estimated. RESULTS: Among the 75 PA subjects, 37 patients were affected by aldosterone-producing adenoma and 38 by idiopathic hyperaldosteronism; 40 subjects were affected by essential hypertension (EH) and SM (EH SM+); 152 subjects were affected by EH without SM (EH SM-); and 40 subjects were normotensive (NT). Subjects with PA had the highest plasma resistin levels among the four groups (P < 0.01). Plasma resistin concentration was significantly higher in PA subjects when compared with EH SM+ individuals (P < 0.01) and EH SM- subjects (P < 0.01). PA subjects showed the higher LV mass and left atrium than EH individuals, irrespectively of the presence of SM (P < 0.01 for both). Plasma resistin levels was significantly correlated with ejection fraction and LV end-diastolic volume. The prevalence of SM was higher in PA subjects than in those with EH (25.4 vs. 20.3%). CONCLUSIONS: Our data suggest that elevated aldosterone levels is associated with elevated circulating resistin levels and cardiac morphological changes independently of the presence of SM.
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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) | 0.001 | 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".