Suppr超能文献

将基因检测纳入循证指南,以确定针对受伤工人的最安全、最有效的慢性疼痛治疗方法。

Adding Genetic Testing to Evidence-Based Guidelines to Determine the Safest and Most Effective Chronic Pain Treatment for Injured Workers.

作者信息

Meshkin Brian, Lewis Katrina, Kantorovich Svetlana, Anand Natasha, Davila Lisa

机构信息

Proove Biosciences, Inc., Irvine, CA, USA;

Spokane Spine Center, Spokane WA, USA.

出版信息

Int J Biomed Sci. 2015 Dec;11(4):157-65.

Abstract

Published guidelines for treating injured workers include the need for personalized treatment to manage chronic pain symptoms and increase functional status. However, they often fail to clarify how to objectively personalize these treatments. Further, certain patients need analgesic relief beyond the short term. In these cases, it is not sufficient or reasonable to utilize the typical broad protocol-based justifications for reduction of opioids and other medications in a haphazard manner based purely on poor response, without attempting to elucidate possible pharmacogenetic reasons for this. These guidelines acknowledge the problem of substance abuse and set forth methods for treatment and prevention. Although it has been established in the scientific community that an individual's experience of pain and likelihood for addiction both have genetic components, genetic testing is not routinely included as part of the overall treatment plan for injured workers with chronic pain. Because decisions in cases of workplace injury should be based on scientific evidence, genetic testing results can add some objective information to the existing subjective and objective clinical data; help ascertain the efficacy and potential for toxicity of treatment; and therefore provide more information for accurate clinical decisions. We propose the addition of genetic testing to consensus guidelines for treating injured workers in order to improve patients' functional status, increase productivity, improve safety of prescribing, decrease the likelihood of substance abuse, and save on overall healthcare costs.

摘要

已发布的治疗工伤工人的指南包括需要个性化治疗以管理慢性疼痛症状并提高功能状态。然而,这些指南往往未能阐明如何客观地实现这些治疗的个性化。此外,某些患者需要长期的镇痛缓解。在这些情况下,仅仅基于疗效不佳就随意地采用典型的基于宽泛方案的理由来减少阿片类药物和其他药物的使用,而不试图阐明其中可能的药物遗传学原因,这是不够充分且不合理的。这些指南认识到药物滥用问题,并提出了治疗和预防方法。尽管科学界已经确定个体的疼痛体验和成瘾可能性都有遗传因素,但基因检测并未常规纳入慢性疼痛工伤工人的整体治疗计划中。由于工伤案件的决策应基于科学证据,基因检测结果可以为现有的主观和客观临床数据增添一些客观信息;有助于确定治疗的疗效和潜在毒性;从而为准确的临床决策提供更多信息。我们建议在治疗工伤工人的共识指南中增加基因检测,以改善患者的功能状态、提高生产力、提高处方安全性、降低药物滥用的可能性,并节省总体医疗费用。

相似文献

2
4
The future of Cochrane Neonatal.
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
5
[Standard technical specifications for methacholine chloride (Methacholine) bronchial challenge test (2023)].
Zhonghua Jie He He Hu Xi Za Zhi. 2024 Feb 12;47(2):101-119. doi: 10.3760/cma.j.cn112147-20231019-00247.
9
10
Managing co-occurring substance use and pain disorders.
Psychiatr Clin North Am. 2012 Jun;35(2):393-409. doi: 10.1016/j.psc.2012.03.006. Epub 2012 May 5.

本文引用的文献

1
Evaluation of the Work Loss Data Institute's Official Disability Guidelines.
J Occup Environ Med. 2018 Mar;60(3):e146-e151. doi: 10.1097/JOM.0000000000001230.
4
Linking altered central pain processing and genetic polymorphism to drug efficacy in chronic low back pain.
BMC Pharmacol Toxicol. 2015 Sep 16;16:23. doi: 10.1186/s40360-015-0023-z.
5
Serotonergic gene variation in substance use pharmacotherapy: a systematic review.
Pharmacogenomics. 2015;16(11):1307-14. doi: 10.2217/pgs.15.72. Epub 2015 Aug 12.
7
Psychological Interventions for the Management of Chronic Pain: a Review of Current Evidence.
Curr Pain Headache Rep. 2015 Sep;19(9):43. doi: 10.1007/s11916-015-0517-9.
8
Addiction pharmacogenetics: a systematic review of the genetic variation of the dopaminergic system.
Psychiatr Genet. 2015 Oct;25(5):181-93. doi: 10.1097/YPG.0000000000000095.
9
Enhanced serotonin and mesolimbic dopamine transmissions in a rat model of neuropathic pain.
Neuropharmacology. 2015 Oct;97:383-93. doi: 10.1016/j.neuropharm.2015.06.003. Epub 2015 Jun 22.
10

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验