| Literature DB >> 34938934 |
Guilherme Antonio Moreira de Barros1, Ricardo Baradelli2, Debora Garcia Rodrigues3, Odaly Toffoletto2, Flavia Seullner Domingues1, Maisa Vitoria Gayoso1, Alexandre Lopes1, Jorge Barros Afiune3, Gabriel Magalhães Nunes Guimarães4.
Abstract
INTRODUCTION: Chronic pain causes disability and is prevalent in the general population. Opioids are a part of a multimodal strategy for pain management. Methadone, a cheap and long-acting synthetic opioid, may represent an option for those who have limited access to the aforementioned class of analgesics. We aimed to provide a real-world evidence for the analgesic use of methadone, compared with morphine.Entities:
Keywords: Chronic pain; Methadone; Morphine; Noninferiority trials; Opioid analgesics
Year: 2021 PMID: 34938934 PMCID: PMC8687725 DOI: 10.1097/PR9.0000000000000979
Source DB: PubMed Journal: Pain Rep ISSN: 2471-2531
Figure 1.Study timeline.
Figure 2.Flow diagram depicting patient selection.
Patient anthropometrics, median of opioid consumption, and pain origin, in accordance to the diagnosis.
| Variable | Methadone (n = 175) | Morphine (n = 87) | Total (n = 262) |
|---|---|---|---|
| Gender | |||
| Female | 116 (66.3%) | 49 (55.7%) | 165 (62.7%) |
| Male | 59 (33.7%) | 38 (44.3%) | 98 (37.3%) |
| Age | 62.1 (±15.5) | 55.5 (±12.02) | 59.2 (±14.9) |
| Opioid consumption | 12.6 (±13.3) | 47.4 (±57.6) | — |
| Cancer-related pain | 17 (9.7%) | 42 (48.2%) | 59 (22.5%) |
| Pain origin | |||
| Nociceptive | 53 (30.2%) | 51 (56.0%) | 104 (39.7%) |
| Neuropathic | 41 (23.4%) | 16 (18.3%) | 57 (21.7%) |
| Mixed | 61 (34.8%) | 17 (19%) | 78 (29.8%) |
| Nociplastic | 19 (10.8%) | 2 (2.2%) | 21 (8%.0%) |
| Missing data | 1 (0.8%) | 1 (4.5%) | 2 (0%.8%) |
P = 0.106 (Fisher test).
Mean (standard deviation), P = 0.0002 (t test).
Mean during the entire follow-up period (standard deviation), value expressed in mg.
P < 0.0001 (Fisher test).
Mean; mixed pain = neuropathic and nociceptive components, P values (Fisher test).
P = <0.0001.
P = 0.42.
P = 0.014.
P = 0.015.
P = 1.
Figure 3.Numeric verbal scale (NVS scores 0–10) scores for worst pain in patients consuming methadone or morphine during the follow-up.
Mixed-effects model summary to predict worst pain in the entire year.
| Effect | Estimate |
|
|---|---|---|
| Intercept | 8.9 | <0.0001 |
| Age (per year) | −0.01 | 0.24 |
| Gender | ||
| Female | Ref | |
| Male | −0.76 | 0.0005 |
| Opioid | ||
| Morphine | Ref | |
| Methadone | −1.24 | 0.0014 |
| Pain classification | ||
| Nociceptive | Ref | |
| Neuropathic | +0.41 | 0.14 |
| Mixed | +0.63 | 0.015 |
| Nociplastic | +1.88 | <0.0001 |
| Missing data | +1.16 | <0.28 |
| Random effects (time, id | — | <0.0001 |
id: subject. Generalized additive model with integrated smoothness estimation.
Mixed-effects model summary to predict worst pain in the subset after 120 days.
| Effect | Estimate |
|
|---|---|---|
| Intercept | 9.11 | <0.0001 |
| Age (per year) | −0.009 | 0.35 |
| Gender | ||
| Female | Ref | |
| Male | +0.42 | 0.12 |
| Drug | ||
| Morphine | Ref | |
| Methadone | −0.31 | 0.32 |
| Pain classification | ||
| Nociceptive | Ref | |
| Neuropathic | −0.84 | 0.02 |
| Mixed | −0.46 | 0.16 |
| Nociplastic | +1.04 | 0.03 |
| Missing data | −2.45 | 0.19 |
| Random effects (time, id | — | 0.07 |
id: subject. Generalized additive model with integrated smoothness estimation.
Side effects of opioid use registered in the health records.
| Side effect | Methadone (n = 175) | Morphine (n = 87) | Total (n = 262) |
|---|---|---|---|
| Nausea | 17 | 6 | 23 |
| Somnolence | 6 | 5 | 11 |
| Intestinal constipation | 5 | 3 | 8 |
| Vomit | 4 | 2 | 6 |
| Mental confusion/delirium | 1 | 4 | 5 |
| Pruritus | 1 | 0 | 1 |
| Total | 34 (19.4%) | 20 (23.9%) | 54 (20.6%) |
Evaluating the difference observed in the Karnofsky Scale: during the first medical appointment and after the introduction of studied analgesics.
| Δ Karnofsky scale | Methadone (n = 113) | Morphine (n = 52) |
|
|---|---|---|---|
| Mean | −0.50 | −0.96 | 0.814 |
t test.
Figure 4.Methadone and morphine dose variation during the follow-up. Opioids were prescribed on day “0.”