ArticlePloS one2015
Prediction formulas for individual opioid analgesic requirements based on genetic polymorphism analyses.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Genetic Factors Associated with Morphine Consumption in Women Undergoing Laparoscopic Cholecystectomy: A Prospective Cohort Study.Journal of pain research · 2023Article
- Expression of Concern: Prediction Formulas for Individual Opioid Analgesic Requirements Based on Genetic Polymorphism Analyses.PloS one · 2023Article
- Article
- A Systematic Review of Polygenic Models for Predicting Drug Outcomes.Journal of personalized medicine · 2022Review
- A pharmacogenetics approach to pain management.Neuropsychopharmacology reports · 2018Review
- The OPRM1 A118G polymorphism modulates the descending pain modulatory system for individual pain experience in young women with primary dysmenorrhea.Scientific reports · 2017Article
- The association between frequent alcohol drinking and opioid consumption after abdominal surgery: A retrospective analysis.PloS one · 2017Article
Corrections and comments
- Expression of concern · 2023-01-11Conflict of Interest ·
- Expression of concern
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe analgesic efficacy of opioids is well known to vary widely among individuals, and various factors related to individual differences in opioid sensitivity have been identified. However, a prediction model to calculate appropriate opioid analgesic requirements has not yet been established. The present study sought to construct prediction formulas for individual opioid analgesic requirements based on genetic polymorphisms and clinical data from patients who underwent cosmetic orthognathic surgery and validate the utility of the prediction formulas in patients who underwent major open abdominal surgery.
methodsTo construct the prediction formulas, we performed multiple linear regression analyses using data from subjects who underwent cosmetic orthognathic surgery. The dependent variable was 24-h postoperative or perioperative fentanyl use, and the independent variables were age, gender, height, weight, pain perception latencies (PPL), and genotype data of five single-nucleotide polymorphisms (SNPs). To examine the utility of the prediction formulas, we performed simple linear regression analyses using subjects who underwent major open abdominal surgery. Actual 24-h postoperative or perioperative analgesic use and the predicted values that were calculated using the multiple regression equations were incorporated as dependent and independent variables, respectively.
resultsMultiple linear regression analyses showed that the four SNPs, PPL, and weight were retained as independent predictors of 24-h postoperative fentanyl use (R² = 0.145, P = 5.66 × 10⁻¹⁰) and the two SNPs and weight were retained as independent predictors of perioperative fentanyl use (R² = 0.185, P = 1.99 × 10⁻¹⁵). Simple linear regression analyses showed that the predicted values were retained as an independent predictor of actual 24-h postoperative analgesic use (R² = 0.033, P = 0.030) and perioperative analgesic use (R² = 0.100, P = 1.09 × 10⁻⁴), respectively.
conclusionsWe constructed prediction formulas, and the possible utility of these prediction formulas was found in another type of surgery.
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