Effects of µ-Opioid Receptor Gene Polymorphism on Postoperative Nausea and Vomiting in Patients Undergoing General Anesthesia with Remifentanil: Double Blinded Randomized Trial.
Seung-Hyun LeeJoo-Dong KimSol-Ah ParkSeung Hyun LeeSeong-Hyop KimPublished in: Journal of Korean medical science (2015)
Association between postoperative nausea and vomiting (PONV) and µ-opioid receptor A118G single nucleotide polymorphism (SNP) is undefined and might underlie inconsistent results of studies on PONV occurrence in patients undergoing general anesthesia with the opioid, remifentanil. Four hundred and sixteen Korean women undergoing breast surgery with general anesthesia were randomized to receive remifentanil 10 ng/mL (plasma-site, Minto model) using a target-controlled infusion device and either propofol for total intravenous anesthesia (T group) or sevoflurane for inhalation anesthesia (I group) with bispectral index values maintained between 40 and 60. Blood specimens were collected after anesthesia induction for A118G SNP analysis. PONV and postoperative pain were evaluated. A118G SNP type distribution among Korean female adults studied was AG (n=195)>AA (n=158)>GG (n=63). Regardless of anesthetic technique, patients with GG types had lower PONV scale on arrival at postoperative care unit (PACU) (P=0.002), while T group showed lower PONV scale than I group up to 6 hr after PACU discharge in AA and AG types. No differences were apparent for postoperative pain among opioid receptor polymorphism. PONV occurrence differs according to opioid receptor polymorphism and anesthetic technique in patients undergoing general anesthesia with remifentanil.
Keyphrases
- patients undergoing
- pain management
- postoperative pain
- chronic pain
- genome wide
- risk assessment
- healthcare
- minimally invasive
- type diabetes
- randomized controlled trial
- atrial fibrillation
- gene expression
- magnetic resonance imaging
- high dose
- acute coronary syndrome
- open label
- polycystic ovary syndrome
- pregnant women
- magnetic resonance
- metabolic syndrome
- highly efficient
- coronary artery disease
- skeletal muscle
- high density
- double blind
- genetic diversity
- data analysis
- cervical cancer screening