N-terminal pro-B-type natriuretic peptide levels increases after hyperbaric oxygen therapy in diabetic patients
Bibliographic record
Abstract
PURPOSE: Diabetic patients receive hyperbaric oxygen therapy for non-healing lower extremity ulcers. Exposure to hyperbaric hyperoxia during hyperbaric oxygen therapy may affect cardiovascular functions by different mechanisms. Patients may experience serious problems such as pulmonary edema and death during hyperbaric oxygen therapy. The effect of hyperbaric oxygen therapy on cardiovascular functions in diabetic patients is not well documented. N-terminal pro-B-type natriuretic peptide (NT-proBNP) has been suggested as powerful biochemical marker of cardiac function. The aim of this study was to investigate the effect of hyperbaric oxygen therapy on NT-proBNP levels in diabetic patients. METHODS: Twenty-five diabetic patients (19 male and 6 female, 64.7 +/- 10.2 yr), who were planning to undergo hyperbaric oxygen therapy for non-healing lower extremity ulcers, were prospectively enrolled into the study. All patients were evaluated with echocardiography before the study. Heart rate and arterial blood pressure of patients were measured, and venous blood samples were drawn from each patient for NT-proBNP analysis before and immediately after the hyperbaric oxygen therapy. RESULTS: NT-proBNP levels increased from 815 +/- 1096 pg/ml to 915 +/- 1191 pg/ml after HBO2 therapy (P < 0.05). Heart rate and arterial blood pressure did not change with HBO2 therapy (P > 0.05). CONCLUSION: Hyperbaric oxygen therapy induces considerable ventricular wall stress in diabetic patients. Care should be taken when a diabetic patient with cardiovascular disease is treated with hyperbaric oxygen therapy.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".