César Margarit1,2, Reyes Roca3, María-Del-Mar Inda2, Javier Muriel2, Pura Ballester2, Andrea Flor1, Domingo Morales4, Ana M Peiró1,2,5. 1. Pain Unit, Department of Health of Alicante. 2. Neuropharmacology on Pain (NED) Group, Alicante Institute for Health and Biomedical Research (ISABIAL-FISABIO Foundation). 3. Occupational Observatory, Miguel Hernandez University of Elche, Alicante. 4. Operations Research Center, Miguel Hernandez University of Elche, Elche, Spain. 5. Clinical Pharmacology Unit, Department of Health of Alicante, Alicante General Hospital.
Abstract
OBJECTIVES: The use of opioids to relieve pain is a challenge because of the high variability in dose requirements and tolerance profiles. Among potential modulators are the individual's genetic background and being female. Our aim was to evaluate sex bias and genotype-related influence on opioid titration safety, in chronic low back pain (CLBP), the most frequent chronic noncancer pain. METHODS: A 3-year prospective study was developed in opioid-naive CLBP patients. Data were self-reported by patients (pain [Visual Analogy Scale], adverse events [AEs], and health care resource utilization) and physicians (analgesic prescription, morphine equivalent daily dose, and suspected adverse drug reactions [ADRs]). Outcomes were analyzed as patients with AEs (case) or without (control) together with patients' sex and genotype. Gene variants in OPRM1 (rs1799971), COMT (rs4680), ABCB1 (rs1045642), UGT2B7 (rs12233719 and rs7438135), KCNJ6 (rs2070995 and rs6517442), and CYP3A5*3 (rs776746) were assessed. The hospital ethics committee approved the study, and statistical analyses were performed with R, v.3.2.4. RESULTS: A total of 179 patients were included (64% female, mean pain intensity 73±16 mm), and 90% of them presented at least 1 AE (median of 3 (1 to 6) AEs/patient) with a rate of 5 AEs: 1 ADR without differences due to sex. However, there is a significant delay in referral of female patients (a mean of 6 years) to the Pain Unit, being significantly 3 to 5 times more likely to present sleep or psychiatric disorders. Meanwhile male individuals showed more sexual and reproductive system disorders. Genotypes influenced skin (COMT, G472A-GG) and gastrointestinal (ABCB1, C3435T-CC) related problems. CONCLUSIONS: Sex bias affects female patients resulting in a CLBP diagnostic delay and a different analgesic safety profile. Moreover, the individual's genetic background might be useful to predict certain AEs in opioid-naive patients under an opioid titration procedure. Addressing sex in necessary to resolve inequalities in health care access.
OBJECTIVES: The use of opioids to relieve pain is a challenge because of the high variability in dose requirements and tolerance profiles. Among potential modulators are the individual's genetic background and being female. Our aim was to evaluate sex bias and genotype-related influence on opioid titration safety, in chronic low back pain (CLBP), the most frequent chronic noncancer pain. METHODS: A 3-year prospective study was developed in opioid-naive CLBP patients. Data were self-reported by patients (pain [Visual Analogy Scale], adverse events [AEs], and health care resource utilization) and physicians (analgesic prescription, morphine equivalent daily dose, and suspected adverse drug reactions [ADRs]). Outcomes were analyzed as patients with AEs (case) or without (control) together with patients' sex and genotype. Gene variants in OPRM1 (rs1799971), COMT (rs4680), ABCB1 (rs1045642), UGT2B7 (rs12233719 and rs7438135), KCNJ6 (rs2070995 and rs6517442), and CYP3A5*3 (rs776746) were assessed. The hospital ethics committee approved the study, and statistical analyses were performed with R, v.3.2.4. RESULTS: A total of 179 patients were included (64% female, mean pain intensity 73±16 mm), and 90% of them presented at least 1 AE (median of 3 (1 to 6) AEs/patient) with a rate of 5 AEs: 1 ADR without differences due to sex. However, there is a significant delay in referral of female patients (a mean of 6 years) to the Pain Unit, being significantly 3 to 5 times more likely to present sleep or psychiatric disorders. Meanwhile male individuals showed more sexual and reproductive system disorders. Genotypes influenced skin (COMT, G472A-GG) and gastrointestinal (ABCB1, C3435T-CC) related problems. CONCLUSIONS: Sex bias affects female patients resulting in a CLBP diagnostic delay and a different analgesic safety profile. Moreover, the individual's genetic background might be useful to predict certain AEs in opioid-naive patients under an opioid titration procedure. Addressing sex in necessary to resolve inequalities in health care access.
Authors: Katherine Fisher Wilford; Maria Jesus Mena-Iturriaga; Margaret Vugrin; Macarena Wainer; Phillip S Sizer; Gesine Hendrijke Seeber Journal: BMJ Open Date: 2022-06-17 Impact factor: 3.006