Sex differences in the daily rhythmicity of morphine consumption after major abdominal surgery.

OBJECTIVE: The sex of the patients has been shown to affect postoperative pain and morphine consumption; still a clear understanding able to explain the reasons behind this difference struggles to emerge. Our research aimed to investigate one specific aspect of the variability in morphine consumption between sexes. Previous studies have shown that circadian rhythm can influence opioid consumption. Furthermore, circadian rhythm is different between female and male. Our analysis investigated the presence of differences in daily rhythmicity of morphine consumption between males and females. DESIGN: This is a secondary analysis of data collected during 2 years long multicenter clinical trial (NCT01233752). SETTINGS: Clinical data were collected in two Italian hospitals: IRCCS Foundation Policlinico S. Matteo (Pavia) and San Gerardo Hospital (Monza). PATIENTS: The authors recorded data about morphine consumption in 157 patients who underwent major abdominal surgery, who received morphine intravenous patient-controlled analgesia (IV-PCA) as postoperative analgesia. INTERVENTIONS: The authors analyzed the daily periodicity of effective boluses delivered by morphine IV-PCA with Poisson multilevel models, adjusted by the time of start for each pump. An effective bolus was defined as a correctly delivered bolus of 1 mg of morphine. The authors also evaluated the interactions among the time of the day and sex, age (

Human Genetic Variability Contributes to Postoperative Morphine Consumption.

UNLABELLED: High interindividual variability in postoperative opioid consumption is related to genetic and environmental factors. We tested the association between morphine consumption, postoperative pain, and single nucleotide polymorphisms (SNPs) within opioid receptor µ 1 (OPRM1), catechol-O-methyltransferase (COMT), uridine diphosphate glucose-glucuronosyltransferase-2B7, and estrogen receptor (ESR1) gene loci to elucidate genetic prediction of opioid consumption. We analyzed 20 SNPs in 201 unrelated Caucasian patients who underwent abdominal surgery and who were receiving postoperative patient-controlled analgesia-administered morphine. Morphine consumption and pain intensity were dependent variables; age and sex were covariates. A haplotype of 7 SNPs in OPRM1 showed significant additive effects on opioid consumption (P = .007); a linear regression model including age and 9 SNPs in ESR1, OPRM1, and COMT explained the highest proportion of variance of morphine consumption (10.7%; P = .001). The minimal model including 3 SNPs in ESR1, OPRM1, and COMT explained 5% of variance (P = .007). We found a significant interaction between rs4680 in COMT and rs4986936 in ESR1 (P = .007) on opioid consumption. SNPs rs677830 and rs540825 of OPRM1 and rs9340799 of ESR1 were nominally associated with pain Numeric Rating Scale scores. Combinations of genetic variants within OPRM1, COMT, and ESR1 better explain variability in morphine consumption than single genetic variants. Our results contribute to the development of genetic markers and statistical models for future diagnostic tools for opioid consumption/efficacy. PERSPECTIVE: This article presents the efforts dedicated to detect correlations between the genetic polymorphisms and the clinical morphine effect self-administered by patients using a patient-controlled analgesia pump after major surgery. The clinical effect is expressed in terms of morphine consumption and pain scores. REGISTERED ON CLINICALTRIALS.GOV: NCT01233752.