Obesity hypoventilation syndrome: A different beast
Bibliographic record
Abstract
A seven-and-a-half-year-old boy was referred for a paediatric evaluation because of concentration difficulties, daytime drowsiness and sleepiness in school, which have been increasing over the past two months, leading to bullying from his classmates at recess. He was born at 35 weeks’ gestation, weighing 2.13 kg. His mother had insulin-dependent gestational diabetes, and both parents are overweight. Rapid catch-up growth occurred in infancy. He has been snoring at night since nine months of age. He underwent an adenotonsillectomy at two years of age, followed by a second adenoidectomy at four years of age. Due to eating habits, multiple dental restorations under local anesthesia were required at three years of age. Presently, his bedtime is 7:30 pm, with loud snoring during sleep and mouth-breathing when awake. He is easily short of breath and does not participate in any physical activities. The physical examination confirmed generalized obesity: weight 40 kg (>99th percentile); height 122 cm (50th percentile); body mass index 27 (>98th percentile), using WHO growth charts. His supine blood pressure was 130/80 mmHg. He did not have other signs of metabolic syndrome (1). Laboratory investigations revealed normal fasting blood sugar, and normal thyroid and liver function tests; however, triglycerides, total and low-density lipoprotein cholesterol levels were raised. Cardiac assessment revealed suggestion of ventricular strain. Daytime baseline saturation in room air was 94%, and a blood gas test taken while awake revealed a capillary pCO2 of 54 mmHg and a pH of 7.37 (2). Referral to a tertiary paediatric centre was made, where other causes of central hypoventilation were excluded and obesity-hypoventilation syndrome (OHS) was confirmed on formal polysomnogram. His treatment included bi-level positive airway pressure (BiPAP) ventilation support during sleep (with normalization of his daytime blood gases), healthy lifestyle management, including reduced screen time, with dietary interventions and a tailored physical activity program aimed at long-term weight loss.
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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) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".