Banta-Green Caleb J, Merrill Joseph O, Doyle Suzanne R, Boudreau Denise M, Calsyn Donald A
Alcohol and Drug Abuse Institute, University of Washington, Seattle, WA 98105, USA.
Drug Alcohol Depend. 2009 Sep 1;104(1-2):34-42. doi: 10.1016/j.drugalcdep.2009.03.021. Epub 2009 May 26.
The intersection of pain, addiction and mental health has not been adequately described. We describe the roles of these three conditions in a chronic pain patient population using opioid analgesics. Aims were to improve our understanding of this population as well as to explore ways of identifying different types of patients.
We conducted a retrospective cohort study in a large integrated group medical practice in Washington State with persons using opioids chronically (n=704). Patient classes were derived with latent class analysis using factors representing DSM-IV opioid abuse and dependence, opioid misuse, pain, anxiety and depression. Regression analyses explored the utility of automated and interview data to distinguish the empirically derived patient groups.
Three classes were identified: a Typical group, the substantial majority that had persistent, moderate mental health and pain symptoms; an Addictive Behaviors group with elevated mental health symptoms and opioid problems, but pain similar to the Typical class; and a Pain Dysfunction class with significantly higher pain interference as well as elevated mental health and opioid problems. Prescribed average daily dose of opioids was three times higher for those in the two atypical groups and was strongly associated with class membership after adjusting for other variables.
We describe three distinct types of patient classes as well as data elements that could help identify the two atypical types. Further research is needed to confirm these findings and determine the utility of this approach in other clinical settings.
疼痛、成瘾和心理健康之间的交叉关系尚未得到充分描述。我们描述了这三种情况在使用阿片类镇痛药的慢性疼痛患者群体中的作用。目的是增进我们对这一群体的了解,并探索识别不同类型患者的方法。
我们在华盛顿州一个大型综合团体医疗诊所对长期使用阿片类药物的患者(n = 704)进行了一项回顾性队列研究。使用代表《精神疾病诊断与统计手册》第四版(DSM-IV)中阿片类药物滥用和依赖、阿片类药物误用、疼痛、焦虑和抑郁的因素,通过潜在类别分析得出患者类别。回归分析探讨了自动数据和访谈数据在区分经验性得出的患者群体方面的效用。
识别出三类:典型组,绝大多数有持续的中度心理健康和疼痛症状;成瘾行为组,心理健康症状和阿片类药物问题有所增加,但疼痛与典型组相似;疼痛功能障碍组,疼痛干扰明显更高,心理健康和阿片类药物问题也有所增加。两个非典型组患者的阿片类药物规定日均剂量高出三倍,在调整其他变量后,与所属类别密切相关。
我们描述了三种不同类型的患者类别以及有助于识别两种非典型类型的数据元素。需要进一步研究来证实这些发现,并确定这种方法在其他临床环境中的效用。