Long-Term Propranolol Use in Severely Burned Pediatric Patients
Why this work is in the frame
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Bibliographic record
Abstract
In Brief Objective: To determine the safety and efficacy of propranolol given for 1 year on cardiac function, resting energy expenditure, and body composition in a prospective, randomized, single-center, controlled study in pediatric patients with large burns. Background: Severe burns trigger a hypermetabolic response that persists for up to 2 years postburn. Propranolol given for 1 month postburn blunts this response. Whether propranolol administration for 1 year after injury provides a continued benefit is currently unclear. Methods: One-hundred seventy-nine pediatric patients with more than 30% total body surface area burns were randomized to control (n = 89) or 4 mg/kg/d propranolol (n = 90) for 12 months postburn. Changes in resting energy expenditure, cardiac function, and body composition were measured acutely at 3, 6, 9, and 12 months postburn. Statistical analyses included techniques that adjusted for non-normality, repeated-measures, and regression analyses. P < 0.05 was considered significant. Results: Long-term propranolol treatment significantly reduced the percentage of the predicted heart rate and percentage of the predicted resting energy expenditure, decreased accumulation of central mass and central fat, prevented bone loss, and improved lean body mass accretion. There were very few adverse effects from the dose of propranolol used. Conclusions: Propranolol treatment for 12 months after thermal injury, ameliorates the hyperdynamic, hypermetabolic, hypercatabolic, and osteopenic responses in pediatric patients. This study is registered at clinicaltrials.gov: NCT00675714. A large prospective randomized single-center placebo-controlled study was undertaken to determine whether 12 months of propranolol treatment (4 mg/kg/d) would reduce the hyperdynamic and hypermetabolic responses to severe burns in pediatric patients. This is an analysis of the first 179 patients enrolled.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it