Literature DB >> 6356972

The optimum concentration for epidural fentanyl. A randomised, double-blind comparison with and without 1:200 000 adrenaline.

E A Welchew.   

Abstract

A randomised, double-blind study comparing a variety of different concentrations of fentanyl with and without 1:200 000 adrenaline is described. It was shown that the quality and duration of analgesia with epidural fentanyl was concentration-dependent below 10 micrograms/ml, but that the addition of adrenaline abolished this phenomenon. The rate of failure to achieve any analgesia was very high with the more dilute solutions, but adrenaline reversed this problem. In general the incidences of side effects were related to the concentrations of fentanyl used and apart from itching, the incidences of these side effects were reduced by the addition of adrenaline.

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Year:  1983        PMID: 6356972     DOI: 10.1111/j.1365-2044.1983.tb12476.x

Source DB:  PubMed          Journal:  Anaesthesia        ISSN: 0003-2409            Impact factor:   6.955


  5 in total

1.  Side effects during continuous epidural infusion of morphine and fentanyl.

Authors:  M J White; E J Berghausen; S W Dumont; K Tsueda; J A Schroeder; R L Vogel; M F Heine; K C Huang
Journal:  Can J Anaesth       Date:  1992-07       Impact factor: 5.063

2.  Epidural fentanyl, with and without epinephrine for post-Caesarean section analgesia.

Authors:  K Robertson; M J Douglas; G H McMorland
Journal:  Can Anaesth Soc J       Date:  1985-09

3.  Patient-controlled lumbar epidural fentanyl compared with patient-controlled intravenous fentanyl for post-thoracotomy pain.

Authors:  R P Grant; J F Dolman; J A Harper; S A White; D G Parsons; K G Evans; C P Merrick
Journal:  Can J Anaesth       Date:  1992-03       Impact factor: 5.063

4.  A comparative study of patient-controlled epidural fentanyl and single dose epidural morphine for post-caesarean analgesia.

Authors:  P Y Yu; D R Gambling
Journal:  Can J Anaesth       Date:  1993-05       Impact factor: 5.063

5.  Higher naloxone dosing in a quantitative systems pharmacology model that predicts naloxone-fentanyl competition at the opioid mu receptor level.

Authors:  Ronald B Moss; Meghan McCabe Pryor; Rebecca Baillie; Katherine Kudrycki; Christina Friedrich; Mike Reed; Dennis J Carlo
Journal:  PLoS One       Date:  2020-06-16       Impact factor: 3.240

  5 in total

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