Pain Management of Musculoskeletal Injuries in Children
Bibliographic record
Abstract
BACKGROUND: Pain is the most common reason for seeking health care in the Western world and is a contributing factor in up to 80% of all emergency department (ED) visits. In the pediatric emergency setting, musculoskeletal injuries are one of the most common painful presentations. Inadequate pain management during medical care, especially among very young children, can have numerous detrimental effects. No standard of care exists for the management of acute musculoskeletal injury-related pain in children. Within the ED setting, pain from such injuries has been repeatedly shown to be undertreated. OBJECTIVES: Upon completion of this CME article, the reader should be better able to (1) distinguish multiple nonpharmacological techniques for minimizing and treating pain and anxiety in children with musculoskeletal injuries, (2) apply recent medical literature in deciding pharmacological strategies for the treatment of children with musculoskeletal injuries, and (3) interpret the basic principles of pharmacogenomics and how they relate to analgesic efficacy. RESULTS: Pediatric musculoskeletal injuries are both common and painful. There is growing evidence that, in addition to pharmacological therapy, nonpharmacological methods can be introduced to improve analgesia in the ED and after discharge. Traditionally, acetaminophen with codeine has been used to treat moderate orthopedic injury-related pain in children. Other oral opioids (hydrocodone, oxycodone) are gaining popularity, as well. Current data suggest that ibuprofen is at least as effective as acetaminophen-codeine and codeine alone. Medication compliance might be improved if adverse effects were minimized, and ibuprofen has been shown to have a similar or better adverse effect profile than the oral opioids to which it has been compared. Pharmacogenomic data show that nearly 50% of individuals have at least 1 reduced functioning allele resulting in suboptimal conversion of codeine to active analgesic, so it is not surprising that codeine analgesic efficacy is not optimal. At the same time, nonpharmacological therapies are emerging as commonly used treatment options by parents and adjuncts to analgesic medication. The efficacy and role of techniques (massage, music therapy, transcutaneous electrical nerve stimulation), although promising, require further clarification in the treatment of orthopedic injury pain. CONCLUSIONS: There is a need to optimize the measurement, documentation, and treatment of pain in children. There is growing evidence that nonpharmacological methods can be introduced to improve analgesia in the ED, and efforts to help parents implement these methods at home might be advantageous to optimize outpatient treatment plans. In pharmacotherapy, ibuprofen has emerged as an appropriate first-line choice for mild-moderate orthopedic pain. Other oral opioids (hydrocodone, oxycodone) are gaining popularity over codeine, because of the current understanding of the pharmacogenomics of such medications.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".