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Record W2564764637 · doi:10.1055/s-0036-1582703

Preoperative Norepinephrine Levels in Cerebrospinal Fluid and Plasma of Pediatric Patients Predict Postoperative Pain Intensity after Spinal Fusion Surgery

2016· article· en· W2564764637 on OpenAlexaff
Catherine Ferland, Alexandre J. Parent, Neil Saran, Pablo Ingelmo, Serge Marchand, Philippe Sarret, Jean Ouellet

Bibliographic record

VenueGlobal Spine Journal · 2016
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsMcGill University Health CentreUniversité de SherbrookeShriners Hospitals for Children - Canada
Fundersnot available
KeywordsMedicineAnesthesiaCerebrospinal fluidMonoamine neurotransmitterPerioperativeTramadolNorepinephrineVisual analogue scaleCohortSurgeryAnalgesicInternal medicineDopamine

Abstract

fetched live from OpenAlex

Introduction The purpose of the present study was to investigate if preoperative concentrations of monoamine neurotransmitters that are known to be involved in descending pain modulation are associated with perioperative pain intensity in a pediatric cohort of patients with idiopathic scoliosis scheduled for elective spinal fusion surgery. Material and Methods Patients scheduled to undergo spinal surgery for Adolescent Idiopathic Scoliosis (AIS) between the ages of 12 and 18 years were recruited from the outpatient clinic of the Shriners Hospital for Children ( n = 50). Plasmatic and cerebrospinal fluid concentrations of epinephrine (EPI), norepinephrine (NE), and their respective metabolite metanephrine (ME) and normetanephrine (NME), were assessed. Five mL of blood were collected for study analysis in an EDTA-coated collection tube after the anesthesia induction. Prior to the intratechal epimorphine injection, 2 mL of cerebrospinal fluid was collected in a low binding protein tube. Monoamine neurotransmitters were derivatized by reductive diethylation analyzed by liquid chromatography coupled with tandem mass spectrometry on TripleTOF 5600 mass spectrometer. At all time points throughout the study (preoperative, first postoperative 24 hours = postoperative day 1 (POD1), second 24 hours = postoperative day 2 (POD2) and postoperative 6 weeks follow-up visit), pain intensity was rated with the use of the Faces Pain Scale-Revised (FPS-R). Linear regressions were performed to assess the predictive role of catecholamine levels for postoperative pain. The Mann-Whitney-U test was used to assess differences in baseline characteristics between patients reporting presence of pain and pain-free patients as well as for all other comparisons other than correlations. Results Our results demonstrate that patients reporting persistent postsurgical pain 6 weeks after surgery have greater preoperative peripheral and/or central norepinephrine (NE) and normetanephrine levels when compared with patients reporting no pain at follow-up. Likewise, in the acute postoperative period, patients reporting moderate-to-severe pain intensity had higher preoperative central NE levels. Conclusion These results support the evidence for a potential role of catecholamine levels in predicting postoperative pain intensity and sympathetically maintained pain, which could place pediatric patients at risk for the development of chronic postsurgical pain. Incidence and severity of persistent postoperative pain may be reduced by specific NE preoperative interventions.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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