Variation in Home Opioid Consumption after Total Knee Replacement: Investigating the Role of Pain Sensitivity and Gene Expression

全膝关节置换术后家庭阿片类药物消耗量的变化：研究疼痛敏感性和基因表达的作用

• 批准号: 10686212
• 负责人: Lori Schirle
• 金额: $ 16.06万
• 依托单位: VANDERBILT UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-18 至 2025-07-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10686212
• 关键词: Acute; Acute Pain; Adverse effects; Affect; Age; American; Anxiety; Behavioral; Biological; Blood; Brain; Candidate Disease Gene; Chronic; Chronic low back pain; Clinical; Clinical Data; Complex; Cross-Sectional Studies; DNA; Data; Development; Disease; Early identification; Education; Ethnic Origin; Exhibits; Foundations; Future; Gene Expression; Gene Expression Profiling; Genetic; Genetic Variation; Health Care Costs; Helping to End Addiction Long-term; Home; Huntington Disease; Hyperalgesia; Individual; Inpatients; Length; Measurable; Measures; Modeling; Neurodegenerative Disorders; Operative Surgical Procedures; Opioid; Pain; Pain intensity; Pain management; Participant; Patients; Persons; Population; Postoperative Pain; Postoperative Period; Productivity; Protocols documentation; Psychological Factors; RNA; Race; Reporting; Reproducibility; Research; Research Personnel; Risk; Role; Sensory; Sleep; Solid; Strategic Planning; Substance abuse problem; Surgical complication; Surveys; Symptoms; System; Testing; Time; United States National Institutes of Health; Variant; Whole Blood; Work; biomarker identification; biopsychosocial; central sensitization; chronic pain; cohort; comorbidity; conditioned pain modulation; depressive symptoms; design; genome-wide analysis; innovation; inter-individual variation; knee replacement arthroplasty; lens; neurophysiology; new therapeutic target; novel; novel strategies; opioid epidemic; opioid use; opioid use disorder; pain catastrophizing; pain perception; pain sensitivity; pain symptom; potential biomarker; predictive marker; prospective; psychologic; response; sex; sociodemographic factors; sociodemographics; surgical pain; trait; transcriptomics; whole genome

Abstract Great variation exists in opioid consumption after similar surgeries, with some patients using few opioids while others consume opioids well beyond the expected acute pain episode. Prolonged opioid use is considered one of the most common surgical complications. Recent models developed to predict the variability in postoperative opioid use focus primarily on clinical and psychological survey data, but leave a significant proportion of the variability unexplained. As it is unclear whether prolonged opioid use results from prolonged pain or other factors, this project proposes to extend the previous research by prospectively examining important pain sensitivity and biomarker predictors of pain to determine their effect on opioid use. Pain is a biopsychosocial phenomenon, so the inclusion of these important biological variables will lead to increased mechanistic understanding of postoperative opioid consumption variability and enable better management of postoperative pain by providing potential new therapeutic targets. One such understudied variable is an individual’s underlying pain sensitivity, measurable by quantitative sensory testing (QST). Use of QST to predict inpatient opioid use and pain has led to inconsistent findings, but recent studies highlight a promising role for QST to predict postoperative home opioid use. Speculation has long focused on genetic influences as a factor in variability in pain sensitivity and opioid use. Candidate gene and whole genome-wide studies have proven to be inadequate to study the complex trait of pain, resulting in small effect sizes and lack of reproducibility. Assessing gene expression is an approach that can be used to augment the research on postoperative pain. Gene expression analyses in blood have identified changes that confer vulnerability for the transition from acute to chronic low back pain, lending support to the hypothesis that changes in gene expression from preoperative to early and later postoperative time periods may identify early markers for the transition to prolonged postoperative pain. By integrating genetic and gene expression data, we will assess whether acute surgical pain leaves signatures in the blood that can be identified through gene expression which can influence postoperative pain sensitivity and subsequent opioid use. Our proposal focuses on the total knee arthroplasty (TKA) population, as this population demonstrates one of the highest variabilities in postoperative pain and opioid use, and is projected to increase 700% within the near future. This project proposes to innovatively incorporate standard demographic, clinical, and psychological variables with novel neurophysiological, genetic, and gene expression data to holistically examine the variability in postoperative pain, and ultimately opioid use through the biopsychosocial lens.

摘要 在类似的手术后，阿片类药物的消耗存在很大的差异，一些患者使用很少的阿片类药物， 其他人服用阿片类药物远远超过预期的急性疼痛发作。长期使用阿片类药物被认为是一种 最常见的手术并发症最近开发的模型用于预测术后 阿片类药物的使用主要集中在临床和心理调查数据，但留下了很大一部分， 无法解释的变异由于目前还不清楚长期使用阿片类药物是否是由于长期疼痛或其他原因造成的， 因素，该项目建议通过前瞻性检查重要的疼痛来扩展以前的研究。 疼痛的敏感性和生物标志物预测因子，以确定其对阿片类药物使用的影响。疼痛是一种生物心理社会 现象，因此，包括这些重要的生物变量将导致增加的机械 了解术后阿片类药物消耗的变异性，并能够更好地管理术后 通过提供潜在的新的治疗靶点来缓解疼痛。一个这样的未充分研究的变量是个人的 潜在的疼痛敏感性，可通过定量感觉测试（QST）测量。应用QST预测住院病人 阿片类药物的使用和疼痛导致了不一致的结果，但最近的研究强调了QST的有希望的作用， 预测术后家庭阿片类药物的使用。长期以来，人们一直把遗传因素作为 疼痛敏感性和阿片类药物使用的变异性。候选基因和全基因组研究已经证明， 不足以研究疼痛的复杂特征，导致效应量小，缺乏可重复性。 评估基因表达是一种可用于增强术后疼痛研究的方法。 血液中的基因表达分析已经确定了赋予从 从急性到慢性腰痛，支持了基因表达变化的假设， 术前到术后早期和术后后期的时间段可以确定过渡到 术后持续疼痛。通过整合遗传和基因表达数据，我们将评估急性 手术疼痛会在血液中留下标记，这些标记可以通过基因表达来识别， 术后疼痛敏感性和随后的阿片类药物使用。我们的建议集中在全膝关节置换术 (TKA)人群，因为该人群显示出术后疼痛的最高变异性， 阿片类药物的使用量预计在不久的将来将增加700%。该项目旨在创新 将标准人口统计学、临床和心理变量与新的神经生理学、遗传学 和基因表达数据来全面检查术后疼痛的变异性，并最终检查阿片类药物的使用情况。 通过生物心理社会透镜。