Effectiveness of Pain Management Following Electrical Injury
Bibliographic record
Abstract
The purpose of this study was to evaluate the effectiveness of pain management after electrical injury. A retrospective hospital chart review was conducted among electrically injured patients discharged from the outpatient burn clinic of a rehabilitation hospital (July 1, 1999, to July 31, 2008). Demographic data, numeric pain ratings (NPRs) at initial assessment and discharge, medications, nonpharmacologic modalities, and their effects before admission and after rehabilitation were collected. Pain management effects were compared between high (> or =1000 v) and low (<1000 v) voltage, and between electrical contact and electrical flash patients, using Student's t-test and chi, with a P < .05 considered significant. Of 82 electrical patients discharged during the study period, 27 were excluded because of incomplete data, leaving 55 patients who had a mean age +/-SD of 40.7 +/- 11.3 years, TBSA of 19.2 +/- 22.7%, and treatment duration of 16.5 +/- 15.7 months. The majority were men (90.9%), most injuries occurred at work (98.2%), mainly caused by low voltage (n = 32, 58.2%), and the rest caused by high voltage (n = 18, 32.7%). Electrical contact was more common (54.5%) than electrical flash (45.5%). Pain was a chief complaint (92.7%), and hands were the most affected (61.8%), followed by head and neck (38.2%), shoulders (38.2%), and back torso (38.2%). Before rehabilitation, the most common medication were opioids (61.8%), relieving pain in 82.4%, followed by acetaminophen (47.3%) alleviating pain in 84.6%. Heat treatment was the most common nonpharmacologic modality (20.0%) relieving pain in 81.8%, followed by massage therapy (14.5%) alleviating pain in 75.0%. During the rehabilitation program, antidepressants were the most common medication (74.5%), relieving pain in 22.0%, followed by nonsteroidal antiinflammatory drugs (61.8%), alleviating pain in 70.6%. Massage therapy was the most common nonpharmacologic modality (60.0%), alleviating pain in 75.8%, and then cognitive behavioral therapy (54.5%), alleviating pain in 40.0%. There were pain improvements in all anatomic locations after rehabilitation except for the back torso, where pain increased 0.7 +/- 2.9 points. Opioids were more commonly used in high voltage (P < .05), and cognitive behavioral therapy in low-voltage injuries (P < .05). Opioids were used in both electrical flash and electrical contact injuries. Pain in electrically injured patients remains an important issue and should continue to be addressed in a multimodal way. It is hoped that this study will guide us to design future interventions for pain control after electrical injury.
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How this classification was reachedexpand
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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".