MétaCan
Menu
Back to cohort

Safety and Pharmacokinetics of EMLA in the Treatment of Postburn Pruritus in Pediatric Patients: A Pilot Study

2001· article· en· W2021997483 on OpenAlexaff
Ernest A. Kopecky, Sheila Jacobson, Pamela Hubley, Lori Palozzi, Howard M. Clarke, Gideon Koren

Bibliographic record

VenueJournal of Burn Care & Rehabilitation · 2001
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsPrilocaineMedicineLidocaineAnesthesiaPharmacokineticsMethemoglobinemiaPharmacology

Abstract

fetched live from OpenAlex

The purpose of this study was to determine the safety and pharmacokinetics of a eutectic mixture of local anesthetics (EMLA) used to ameliorate postburn pruritus after application onto newly formed, intact skin in children. EMLA was applied once to an itchy site where healed skin had formed. Serial blood samples were collected to measure lidocaine, prilocaine, o-toluidine, and methemoglobin. Maximal plasma concentration, minimal plasma concentration, time to achieve the maximal plasma concentration, elimination half-life, and area under the concentration-time curve were calculated. Vital signs, oxygen saturation, clinical signs of hypoxia, and itch intensity were measured. Five children had 15.7 +/- 2.54 g (+/- SD) of EMLA applied to a skin surface area of 93.0 +/- 37.0 cm2. Lidocaine and prilocaine concentrations were below toxic levels; o-toluidine was not detected. Methemoglobin remained between 1 and 3%; patients did not exhibit any clinical signs of hypoxia. Mean oxygen saturation was 98.9 +/- 0.01%. The mean number of pruritic episodes and antihistamine breakthrough doses were greater in the 2 prestudy control days compared with study day 3 (P = 0.01 and P = 0.03, respectively). Skin at the site of EMLA application remained anesthetized for 12 to 13 hours. In this small pilot study, EMLA seems to be a safe, novel treatment for postburn pruritus in burned children when applied to newly healed, intact skin.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.208

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.299
Teacher spread0.288 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations58
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Burn Care & RehabilitationSame topicDermatology and Skin DiseasesFrench-language works237,207