[Obesity and its respiratory effects detected through levels of partial pressure of carbon dioxide in the supine position].
Bibliographic record
Abstract
INTRODUCTION: Obesity is a disease that is closely associated with deleterious respiratory effects such as the Obesity Hypoventilation Syndrome which conventionally includes awake hypercapnia. There are studies addressing the detection of daytime hypercapnia with the patient either in sitting or standing position. However, there are no studies in obese subjects with a normal daytime PaCO2 in whom the detection of hypercapnia is made in the supine position. It is feasible that the physiopathological changes that occur in obese patients when they adopt the supine position lead to increased PaCO2 levels or hypercapnia. OBJECTIVE: To determine the levels of PaCO2 in obese patients with a normal daytime PaCO2 in the supine position using arterial blood gas test. METHODS: Fifty patients with BMI > 30 Kg/m², with a normal daytime PaCO2 were included. Daytime arterial blood gas test was performed first with the patient in a standing position along with pulmonary function test. A second arterial blood gas test was made 15 minutes after the patient adopted the supine position. Polisomnography was performed. RESULTS: Mean BMI was 40 kg/m2. PaCO2 levels in the standing position were less, statistically significant, than the PaCO2 levels in the supine position, 30.7 ± 2.5 mmHg vs 35.6 ± 6.7 mmH, p < 0.001. CONCLUSIONS: We can achieve an early detection of Obesity hipoventilation syndrome in obese patients with a normal daytime PaCO2 by performing the arterial blood gas test in the supine position before these patients develop severe complications.
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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) | 0.005 | 0.001 |
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".