Dataset Information

Prediction formulas for individual opioid analgesic requirements based on genetic polymorphism analyses.

ABSTRACT:

Background

The 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.

Methods

To 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.

Results

Multiple 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?¹?) and the two SNPs and weight were retained as independent predictors of perioperative fentanyl use (R² = 0.185, P = 1.99 × 10?¹?). 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??), respectively.

Conclusions

We constructed prediction formulas, and the possible utility of these prediction formulas was found in another type of surgery.

SUBMITTER: Yoshida K

PROVIDER: S-EPMC4304713 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Prediction formulas for individual opioid analgesic requirements based on genetic polymorphism analyses.

Yoshida Kaori K Nishizawa Daisuke D Ichinomiya Takashi T Ichinohe Tatsuya T Hayashida Masakazu M Fukuda Ken-ichi K Ikeda Kazutaka K

PloS one 20150123 1

<h4>Background</h4>The 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 ...[more]

PMID: 25615449

Similar Datasets

Project description:ImportanceThe opioid epidemic has generated interest in optimizing opioid prescribing after common surgeries. Recent studies have shown a broad range of analgesic prescription patterns following endoscopic sinus surgery (ESS).ObjectiveTo compare the efficacy of different analgesic regimens after ESS.Design, setting, and participantsThis multi-institutional, nonblinded randomized clinical trial was conducted at 6 tertiary centers across the US and Canada and included participants who underwent ESS for acute or chronic rhinosinusitis. The study was conducted from March 2019 to March 2020, and the data were analyzed in November to December 2020.InterventionsAll participants received acetaminophen, 650 mg, as the first-line analgesic. From there, patients were randomized to either oxycodone rescue (oxycodone, 5 mg, as second-line therapy) or ibuprofen rescue (ibuprofen, 600 mg, as second-line therapy, with oxycodone, 5 mg, reserved for breakthrough pain).Main outcomes and measuresBaseline characteristics and disease severity were collected at enrollment. Medication logs, pain scores, and epistaxis measures were collected until postoperative day 7. The primary outcome was the postoperative visual analog scale score for pain. Brief Pain Inventory Pain Severity and Pain Interference Scores were also collected.ResultsA total of 118 patients were randomized (62 [52.5%] oxycodone rescue, 56 [47.5%] ibuprofen rescue; mean [SD] age, 46.7 [16.3] years; 44 women [44.0%]; 83 White [83.0%], 7 Black [7.0%], and 7 Asian individuals [7.0%]). After exclusions for loss to follow-up and noncompliance, 51 remained in the oxycodone rescue group and 49 in the ibuprofen rescue group. The groups had similar demographic characteristics and disease severity. Thirty-two (63%) in the oxycodone rescue group had adequate pain management with acetaminophen only, while 19 (37%) consumed at least 1 oxycodone dose. In the ibuprofen rescue group, 18 (16%) required only acetaminophen, 28 (57%) used only acetaminophen and ibuprofen, and the remaining 13 (26%) consumed 1 or more oxycodone doses. The groups had similar average acetaminophen (9.69 vs 7.96 doses; difference, 1.73; 95% CI, -1.37 to 4.83) and oxycodone (1.89 vs 0.77 doses; difference, 1.13; 95% CI, -0.11 to 2.36) use. Both groups had similar postoperative visual analog scale scores. A subanalysis that compared opioids users with nonusers showed clinically significant lower pain scores in nonusers at multiple postoperative points.Conclusions and relevanceIn this randomized clinical trial, most patients who underwent ESS could be treated postoperatively using a nonopioid regimen of either acetaminophen alone or acetaminophen and ibuprofen. Ibuprofen as a second-line therapy did not reduce overall narcotic consumption, but the overall narcotic use was low in both groups.Trial registrationClinicalTrials.gov Identifier: NCT03783702.

Project description:ObjectiveIn recent years, increasing attention has been paid to the contribution of genetic factors to variability in patient pain threshold and the efficacy of pain management. One of the genes implicated in pain pathology and treatment response is interleukin 6 (IL6). The aim of the present study was to evaluate the association between IL6 (rs1800795: -174G>C) and opioid requirements in patients after total hip replacement (THR).MethodsA total of 196 patients eligible for the study (126 women, 70 men) were subjected to THR. The THR procedure was performed using spinal anaesthesia after implementing routine peri-operative monitoring. After the procedure each patient was individually observed, and the patient-specific chart of dynamic changes in pain perception was recorded, using the five-level Verbal Rating Scale (VRS). The multimodal analgesic treatment after THR was defined by the operating surgeons after considering indications and contraindications to the use of different groups of drugs (opioid and non-opioid analgesics). Postoperative pain was controlled by the patient-controlled analgesia method and VRS during the day-time, as well as night-time nurse-controlled analgesia. All medication adjustments were recorded in the individual patient files. In the case of moderate pain intensity (VRS-assessed), a patient was administered the non-opioid analgesic drug, and for high intensity pain the opioid. The analysis of pain relief therapy included information on the drugs applied, mode of dosing (single or multiple), daily dose, route of administration, and drug refusal due to the absence of pain recorded each study day, i.e. on the day of surgery and recovery in the postoperative room (day 0), and then daily from day 1 to day 6. Polymorphism rs1800795:G>C in the promoter region of the IL6 gene (-174G>C) was determined using the PCR-RFLP method.ResultsThe patients carrying at least one IL6 -174G allele (GG homozygote and GC heterozygote) were administered opioids significantly more often on days 0 (p = 0.0029), 3 (p = 0.019) and 4 (p = 0.031) after surgery compared with CC homozygous patients. Those patients also required a significantly higher opioid dose on days 3 (p = 0.029) and 4 (p = 0.030). Multivariate analysis demonstrated that the presence of the -174G allele was an independent factor predisposing patients to the administration of opioids during the first 24 h [p = 0.001, odds ratio (OR) 7.1, 95 % confidence interval (CI) 2.17-22.7], on day 3 (p = 0.01, OR 2.79, 95 % CI 1.25-6.26) and day 4 (p = 0.01, OR = 2.61, 95 % CI 1.17-5.79).ConclusionThe presence of the G allele IL6 gene (-174G>C) polymorphism was found to be an independent factor predisposing to a higher dose and more frequent administration of opioids in the first days after total hip replacement.

Project description:BackgroundNon-opioid analgesics are prescribed in combination with opioids among patients with long bone fracture to reduce opioid prescribing needs, yet evidence is limited on whether they reduce the risk of serious opioid-related events (SOREs). We compared the risk of SOREs among hospitalized patients with long bone fracture discharged with filled opioid prescriptions, with and without non-opioid analgesics.DesignWe identified a retrospective cohort of analgesic-naïve adult patients with a long bone fracture hospitalization using the Merative MarketScan Commercial Database (2013-2020). The exposure was opioid and non-opioid analgesic (gabapentinoids, muscle relaxants, non-steroidal anti-inflammatory drugs, acetaminophen) prescriptions filled in the 3 days before through 42 days after discharge. The outcome was the development of new persistent opioid use or opioid use disorder during follow-up (day 43 through day 408 after discharge). We used Cox proportional hazards regression with inverse probability of treatment weighting with overlap trimming to compare outcomes among those that filled an opioid and a non-opioid analgesic to those that filled only an opioid analgesic. In secondary analyses, we used separate models to compare those that filled a prescription for each specific non-opioid analgesic type with opioids to those that filled only opioids.ResultsOf 29 489 patients, most filled an opioid prescription alone (58.4%) or an opioid and non-opioid (22.0%). In the weighted proportional hazards regression model accounting for relevant covariates and total MME, filling both a non-opioid analgesic and an opioid analgesic was associated with 1.63 times increased risk of SOREs compared with filling an opioid analgesic only (95% CI 1.41 to 1.89). Filling a gabapentin prescription in combination with an opioid was associated with an increased risk of SOREs compared with those that filled an opioid only (adjusted HR: 1.84 (95% CI1.48 to 2.27)).ConclusionsFilling a non-opioid analgesic in combination with an opioid was associated with an increased risk of SOREs after long bone fracture.Level of evidenceLevel III, prognostic/epidemiological.Study typeRetrospective cohort study.

Dataset Information

Prediction formulas for individual opioid analgesic requirements based on genetic polymorphism analyses.

Background

Methods

Results

Conclusions

Publications

Prediction formulas for individual opioid analgesic requirements based on genetic polymorphism analyses.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets