Comparison of the effects of buprenorphine and methadone in combination with medetomidine followed by intramuscular alfaxalone for anaesthesia of cats undergoing ovariohysterectomy.


Journal

Journal of feline medicine and surgery
ISSN: 1532-2750
Titre abrégé: J Feline Med Surg
Pays: England
ID NLM: 100897329

Informations de publication

Date de publication:
02 2020
Historique:
pubmed: 6 2 2019
medline: 1 12 2020
entrez: 6 2 2019
Statut: ppublish

Résumé

The aim of this study was to compare the quality of anaesthesia and analgesia between methadone and buprenorphine in combination with medetomidine after induction with intramuscular (IM) alfaxalone in cats undergoing ovariohysterectomy. Fifty-one female cats (American Society of Anesthesiologists status I-II), with a median age of 12 months (range 2-60 months), weighing a mean ± SD of 2.5 ± 0.5 kg, were recruited to the study. Cats were randomly allocated to receive medetomidine (600 µg/m Forty-one cats completed the study. No significant differences were detected between groups before or during anaesthesia. No cats required rescue analgesia. DIVAS scores at 10 mins were significantly less in the MM group compared with the MB. No differences between groups at any other time points were detected using the four metrology instruments. Both protocols provided good anaesthesia conditions for ovariohysterectomy in the cat.

Identifiants

pubmed: 30719951
doi: 10.1177/1098612X19826357
doi:

Substances chimiques

Central Nervous System Depressants 0
Pregnanediones 0
Buprenorphine 40D3SCR4GZ
alphaxalone BD07M97B2A
Medetomidine MR15E85MQM
Methadone UC6VBE7V1Z

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

77-83

Auteurs

Alaleh Mahdmina (A)

RSPCA Greater Manchester Animal Hospital, Salford, UK.

Abigail Evans (A)

Rutland House Veterinary Hospital, St Helens, UK.

David Yates (D)

RSPCA Greater Manchester Animal Hospital, Salford, UK.

Kate L White (KL)

School of Veterinary Medicine and Science, University of Nottingham, Loughborough, UK.

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Classifications MeSH