Cardiac Structural Alterations of Acromegalic, Without Alteration in Cardiac Function, Evaluated by Doppler Echocardiography with Speckle Tracking
Bibliographic record
Abstract
BACKGROUND: Acromegaly is most commonly caused by growth hormone secreting pituitary (GH) macroadenoma. Cardiovascular events are the leading cause of death in this population. OBJECTIVE: To analyze the cardiac structural and functional changes in patients with acromegaly and to correlate the findings with the concentrations of GH and IGF-1 post treatment and with the presumed time of disease. METHOD: A quantitative study involving 19 individuals with acromegaly, 10 with inactive disease and 9 with active disease and 16 healthy individuals, matched by sex and age. Age ranged from 19 to 78 years. Two-dimensional echocardiogram and speckle tracking were performed. RESULTS: Mean left ventricular mass index (LVMI) were significantly higher in acromegalic patients (89.1 ± 27.9) compared to the control group (66.9 ± 15.7) (p = 0.015). There was a direct correlation between IGF-1 mean concentration and left ventricular systolic volume (LVSV) in acromegalic patients (r = 0.64; p = 0.004) even when the disease was inactive (n=10; r = 0.9; p = 0.002) and between IGF1 mean concentration and left ventricular diastolic volume (LVDV). The left ventricular ejection fraction (EF) and the global longitudinal strain (GLS) did not differ between groups (p> 0.05). CONCLUSION: Although patients with acromegaly had higher LVMI, they did not show difference in GLS indicating a small chance of progression to systolic disfunction. Direct correlation between IGF-1 and LDVD and LVSV demonstrates the relevance of a good hormonal control to reduce cardiac changes.
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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 | 0.000 | 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 | 0.000 |
| 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".