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Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis

BACKGROUND: The aim of this network meta-analysis (NMA) was to evaluate the safety and efficacy of intravenous (IV) Meloxicam 30 mg (MIV), an investigational non-steroidal anti-inflammatory drug (NSAID), and certain other IV non-opioid analgesics for moderate-severe acute postoperative pain. METHODS...

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Autores principales: Carter, John A., Black, Libby K., Sharma, Dolly, Bhagnani, Tarun, Jahr, Jonathan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592505/
https://www.ncbi.nlm.nih.gov/pubmed/33109098
http://dx.doi.org/10.1186/s12871-020-01147-y
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author Carter, John A.
Black, Libby K.
Sharma, Dolly
Bhagnani, Tarun
Jahr, Jonathan S.
author_facet Carter, John A.
Black, Libby K.
Sharma, Dolly
Bhagnani, Tarun
Jahr, Jonathan S.
author_sort Carter, John A.
collection PubMed
description BACKGROUND: The aim of this network meta-analysis (NMA) was to evaluate the safety and efficacy of intravenous (IV) Meloxicam 30 mg (MIV), an investigational non-steroidal anti-inflammatory drug (NSAID), and certain other IV non-opioid analgesics for moderate-severe acute postoperative pain. METHODS: We searched PubMed and CENTRAL for Randomized Controlled Trials (RCT) (years 2000–2019, adult human subjects) of IV non-opioid analgesics (IV NSAIDs or IV Acetaminophen) used to treat acute pain after abdominal, hysterectomy, bunionectomy or orthopedic procedures. A Bayesian NMA was conducted in R to rank treatments based on the standardized mean differences in sum of pain intensity difference from baseline up to 24 h postoperatively (sum of pain intensity difference: SPID 24). The probability and the cumulative probability of rank for each treatment were calculated, and the surface under the cumulative ranking curve (SUCRA) was applied to distinguish treatments on the basis of their outcomes such that higher SUCRA values indicate better outcomes. The study protocol was prospectively registered with by PROSPERO (CRD42019117360). RESULTS: Out of 2313 screened studies, 27 studies with 36 comparative observations were included, producing a treatment network that included the four non-opioid IV pain medications of interest (MIV, ketorolac, acetaminophen, and ibuprofen). MIV was associated with the largest SPID 24 for all procedure categories and comparators. The SUCRA ranking table indicated that MIV had the highest probability for the most effective treatment for abdominal (89.5%), bunionectomy (100%), and hysterectomy (99.8%). MIV was associated with significantly less MME utilization versus all comparators for abdominal procedures, hysterectomy, and versus acetaminophen in orthopedic procedures. Elsewhere MME utilization outcomes for MIV were largely equivalent or nominally better than other comparators. Odds of ORADEs were significantly higher for all comparators vs MIV for orthopedic (gastrointestinal) and hysterectomy (respiratory). CONCLUSIONS: MIV 30 mg may provide better pain reduction with similar or better safety compared to other approved IV non-opioid analgesics. Caution is warranted in interpreting these results as all comparisons involving MIV were indirect.
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spelling pubmed-75925052020-10-29 Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis Carter, John A. Black, Libby K. Sharma, Dolly Bhagnani, Tarun Jahr, Jonathan S. BMC Anesthesiol Research Article BACKGROUND: The aim of this network meta-analysis (NMA) was to evaluate the safety and efficacy of intravenous (IV) Meloxicam 30 mg (MIV), an investigational non-steroidal anti-inflammatory drug (NSAID), and certain other IV non-opioid analgesics for moderate-severe acute postoperative pain. METHODS: We searched PubMed and CENTRAL for Randomized Controlled Trials (RCT) (years 2000–2019, adult human subjects) of IV non-opioid analgesics (IV NSAIDs or IV Acetaminophen) used to treat acute pain after abdominal, hysterectomy, bunionectomy or orthopedic procedures. A Bayesian NMA was conducted in R to rank treatments based on the standardized mean differences in sum of pain intensity difference from baseline up to 24 h postoperatively (sum of pain intensity difference: SPID 24). The probability and the cumulative probability of rank for each treatment were calculated, and the surface under the cumulative ranking curve (SUCRA) was applied to distinguish treatments on the basis of their outcomes such that higher SUCRA values indicate better outcomes. The study protocol was prospectively registered with by PROSPERO (CRD42019117360). RESULTS: Out of 2313 screened studies, 27 studies with 36 comparative observations were included, producing a treatment network that included the four non-opioid IV pain medications of interest (MIV, ketorolac, acetaminophen, and ibuprofen). MIV was associated with the largest SPID 24 for all procedure categories and comparators. The SUCRA ranking table indicated that MIV had the highest probability for the most effective treatment for abdominal (89.5%), bunionectomy (100%), and hysterectomy (99.8%). MIV was associated with significantly less MME utilization versus all comparators for abdominal procedures, hysterectomy, and versus acetaminophen in orthopedic procedures. Elsewhere MME utilization outcomes for MIV were largely equivalent or nominally better than other comparators. Odds of ORADEs were significantly higher for all comparators vs MIV for orthopedic (gastrointestinal) and hysterectomy (respiratory). CONCLUSIONS: MIV 30 mg may provide better pain reduction with similar or better safety compared to other approved IV non-opioid analgesics. Caution is warranted in interpreting these results as all comparisons involving MIV were indirect. BioMed Central 2020-10-27 /pmc/articles/PMC7592505/ /pubmed/33109098 http://dx.doi.org/10.1186/s12871-020-01147-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Carter, John A.
Black, Libby K.
Sharma, Dolly
Bhagnani, Tarun
Jahr, Jonathan S.
Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis
title Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis
title_full Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis
title_fullStr Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis
title_full_unstemmed Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis
title_short Efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis
title_sort efficacy of non-opioid analgesics to control postoperative pain: a network meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7592505/
https://www.ncbi.nlm.nih.gov/pubmed/33109098
http://dx.doi.org/10.1186/s12871-020-01147-y
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