Gender-Specific Responses of Lean Body Composition and Non-Gender-Specific Cardiac Function Improvement after GH Replacement in GH-Deficient Adults
Bibliographic record
Abstract
GH deficiency (GHD) in adulthood is accompanied by physical and psychological impairments. One hundred fifteen patients (67 male, 48 female) with pronounced GHD were enrolled in a randomized, double-blind, placebo-controlled study with objectives that included effects on body composition, cardiac structure, and function and safety of replacement therapy with recombinant human GH (Saizen). Sixty patients (31 male, 29 female) received GH at a dose of 0.005-0.010 mg/kg.d, and 55 patients (36 male, 19 female) received placebo for 6 months. Assessment of body composition by dual-energy x-ray absorptiometry demonstrated a treatment difference in lean body mass increase of 2.1 kg (between-group comparison, P < 0.0001), which was significantly greater among males than females (P < 0.0001) [males: GH, +3.13 kg (2.42, 3.84); placebo, +0.11 kg (-0.60, 0.82); and females: GH, +0.64 kg (-0.15, 1.44); placebo: -0.90 kg (-2.20, 0.39)] [mean change 0-6 months (95% confidence limits)] and was associated with IGF-I changes. The decrease in fat mass of 2.8 kg (between-group comparison, P < 0.0001) noted by DEXA was also evident from bioelectric impedance and anthropometric measurements. Echocardiography showed comparable improvement in left ventricular systolic function after GH treatment in both genders. End-systolic volume decreased by 4.3 +/- 10.5 ml (from 35.8 +/- 17.6 ml; between-group comparison, P = 0.035) and ejection fraction increased by 5.1 +/- 10.0% (from 55.0 +/- 11.2%; between-group comparison, P = 0.048), approaching normalcy. Diastolic function did not change as assessed by isovolumic relaxation time, early diastolic flow, diastolic flow secondary to atrial contraction, or ratio of peak mitral early diastolic and atrial contraction velocity. GH treatment was well tolerated, with adverse events primarily related to effects on fluid balance. No apparent relationship between IGF-I levels and the occurrence or severity of adverse events was identified. In conclusion, GH replacement therapy in adults with GHD demonstrated beneficial effects on lean body mass composition that was more pronounced in males than females. In contrast, cardiac function improvement appears to benefit both genders equally.
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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) | 0.001 | 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".