Body Composition by DXA in Patients with Klinefelter and Kallmann Syndrome: The Kama Study
Bibliographic record
Abstract
CONTEXT: Klinefelter syndrome and Kallmann syndrome are 2 rare genetic disorders characterized by reduced testosterone (T) levels but differing in their gonadotrophin profiles. To date, no studies have directly compared body composition in these 2 syndromes. OBJECTIVE: This work aimed to assess the prevalence of altered body composition parameters in patients with Klinefelter and Kallmann syndromes and to compare body composition between the 2 groups. Secondary objectives included evaluating associations between body composition, bone mineral density (BMD), and serum follicle-stimulating hormone (FSH) levels. METHODS: This single-center, retrospective observational study included 50 patients, 29 with Klinefelter and 21 with Kallmann syndrome receiving T replacement therapy. Body composition was evaluated using whole-body dual-energy x-ray absorptiometry (DXA), which provided measurements of appendicular lean mass (ALM), total body fat (TBF), visceral adipose tissue (VAT), the ALM-to-height² ratio (appendicular lean mass index, ALMI), and the ALM-to-weight ratio. RESULTS: Radiologic sarcopenic obesity was identified in 7 patients (14%; 6/29 Klinefelter, 1/21 Kallmann), while osteosarcopenic obesity was found in 2 patients (4%), both with Klinefelter syndrome. Patients with Kallmann syndrome had significantly higher ALMI values than those with Klinefelter syndrome (8.37 ± 1.15 vs 7.28 ± 1.20 kg/m²; P < .001). Univariable analysis revealed an inverse association between FSH levels and ALMI (B = -0.026; P = .002), which remained statistically significant after adjustment for confounders (B = -0.030; P = .0022). CONCLUSION: This study demonstrated a significant difference in lean mass between Klinefelter and Kallmann syndromes, supporting a potential role for FSH in modulating muscle mass independently of T levels.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".