Standardizing research methods for opioid dose comparison: the NIH HEAL morphine milligram equivalent calculator

吗啡 计算器 类阿片 医学 药理学 麻醉 计算机科学 内科学 受体 操作系统
作者
Meredith C B Adams,Katherine Sward,Martin Perkins,Robert W. Hurley
出处
期刊:Pain [Lippincott Williams & Wilkins]
卷期号:166 (8): 1729-1737 被引量:19
标识
DOI:10.1097/j.pain.0000000000003529
摘要

Abstract We developed the National Institutes of Health helping to end addiction long-term initiative morphine milligram equivalent (MME) calculator to standardize MME calculations across pain research studies, addressing a critical barrier to effective research synthesis and meta-analysis. The tool provides evidence-based mapping factors for 29 opioids through a research electronic data capture-based calculator and companion Web site (research-mme.wakehealth.edu). Development involved systematic evidence evaluation of literature from 1949 to March 2024, following PRISMA guidelines. From an initial screening of over 170,050 articles, we identified 24 studies providing evidence for conversion factors. The calculator incorporates 4 standardized time-window calculation methods aligned with current research approaches and includes traditional full agonists, partial agonists, and mixed-mechanism agents. Using modified GRADE methodology, we evaluated evidence quality for each conversion factor, documenting levels from high-quality randomized controlled trials to pharmacokinetic extrapolation. Our tool replicates most existing Centers for Disease Control and Prevention (CDC) conversion factors while expanding coverage to 7 additional opioids and 6 formulations not included in the 2022 CDC conversion table. The calculator features options to analyze results with or without buprenorphine, accommodating its emerging role in pain research. This standardized framework enables researchers to map opioid doses using consistent, evidence-based ratios and harmonize data collection across research networks. While the tool represents a significant advance in standardizing MME calculations for research, limitations in the underlying evidence base highlight the need for continued validation through clinical research.
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