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Record W2900116528 · doi:10.4236/ijohns.2018.76032

Analgesic Effect of Pre-Incisional Peritonsillar Infiltration of Ketamine for Post-Tonsillectomy Pain in Children

2018· article· en· W2900116528 on OpenAlexaboutno aff
Nabil Sarhan, Mohammed A. Fatahalla, Mostafa E. M. Ahmed, Haitham A.M. Osman

Bibliographic record

VenueInternational Journal of Otolaryngology and Head &amp Neck Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTonsillectomyKetamineAnalgesicAnesthesiaPostoperative painInfiltration (HVAC)Surgery

Abstract

fetched live from OpenAlex

Objective: Two different concentrations of ketamine 0.5 mg/kg, 0.25 mg/kg were applied to both tonsils perioperatively to check analgesic effect postoperatively in children. This study done at Department of anesthesia and otorhinolaryngology, faculty of medicine, Al-Azhar University hospitals, and the medical ethics committee. The study was conducted in the ENT operating theatre, Al-Azhar University Hospitals, from Jan. 2017 to June 2018. Methodology: We divided patients into 3 groups K1, K2 and S each group 25 patients, group K1 had 0.25 mg ketamine, group k2 had 0.5 mg ketamine and group S had normal saline as a control group. These groups assessed intraoperatively by Heart rate and main arterial pressure (MAP) were recorded at the intervals together with Ventilation parameters. Postoperative pain assessment by using Children’s Hospital of Eastern Ontario Pain Scale (CHEOPS). The sedative condition was assessed with the Wilson sedation scale at 5, 15, 30, and 60 min after entrance to the PACU. CHEOPES was recorded only when patient modified Wilson sedation score was one. Incidences of postoperative complications as: blood loss, dysphagia, nausea and vomiting were noted and demonstrated; hallucinations will be observed and recorded. Results: There were no significant differences among the groups regarding age, gender and weight. There were no significant differences among the groups with respect to the demographic data, duration of surgery or anesthesia, and intraoperative blood loss. As regarding hemodynamics, mean blood pressure was significantly lower in group (K1) than group S (control group) at 20 and 30 minutes after injection of ketamine and significantly lower in group (K2) than group S (control group) at 20 and 30 minutes after injection of ketamine with no difference between group (K1) and (K2). There was a significant statistical difference in analgesia duration per hours and frequency of analgesics used over 24 hours between three groups, the duration was longer in group (K1) and (K2) and frequency of analgesics used over 24 hours (P value < 0.05). Regarding postoperative complications, there was no significant statistical differences as regard nausea and vomiting, but the percentage of dysphagia is significantly higher in group S (control group) than group (K1) and group (K2). Conclusions: In our study, we found that preincisional peritonsillar infiltration of 0.25 mg/kg or 0.5 mg/kg of ketamine given at approximately three minutes before surgery provides efficient pain relief during 24 h after surgery, decrease need for rescue analgesics, has a good effect on dysphagia postoperatively and doesn’t produce hallucinations in children undergoing tonsillectomy.

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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

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 head0.011
GPT teacher head0.294
Teacher spread0.283 · 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 designRandomized trial
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

Citations2
Published2018
Admission routes1
Has abstractyes

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