Pain Predicts Function One Year Later: A Comparison across Pain Measures in a Rheumatoid Arthritis Sample.

Q2 Medicine
Pain Research and Treatment Pub Date : 2016-01-01 Epub Date: 2016-03-28 DOI:10.1155/2016/7478509
Vivian Santiago, Karen Raphael, Betty Chewning
{"title":"Pain Predicts Function One Year Later: A Comparison across Pain Measures in a Rheumatoid Arthritis Sample.","authors":"Vivian Santiago,&nbsp;Karen Raphael,&nbsp;Betty Chewning","doi":"10.1155/2016/7478509","DOIUrl":null,"url":null,"abstract":"<p><p>Background. Guidance is limited on best measures and time periods to reference when measuring pain in order to predict future function. Objective. To examine how different measures of pain predict functional limitations a year later in a sample of rheumatoid arthritis patients. Methods. Logistic regression analyses were conducted using baseline and one-year data (n = 262). Pain intensity in the last 24 hours was measured on a 0-10 numerical rating scale and in the last month using an item from the Arthritis Impact Measurement Scale 2 (AIMS2). AIMS2 also provided frequency of severe pain, pain composite scores, and patient-reported limitations. Physician-rated function was also examined. Results. Composite AIMS2 pain scale performed best, predicting every functional outcome with the greatest magnitude, a one-point increase in pain score predicting 21% increased odds of limitations (combined patient and physician report). However, its constituent item-frequency of severe pain in the last month-performed nearly as well (19% increased odds). Pain intensity measures in last month and last 24 hours yielded inconsistent findings. Conclusion. Although all measures of pain predicted some functional limitations, predictive consistency varied by measure. Frequency of severe pain in the last month provided a good balance of brevity and predictive power. </p>","PeriodicalId":19786,"journal":{"name":"Pain Research and Treatment","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2016/7478509","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pain Research and Treatment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1155/2016/7478509","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2016/3/28 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 1

Abstract

Background. Guidance is limited on best measures and time periods to reference when measuring pain in order to predict future function. Objective. To examine how different measures of pain predict functional limitations a year later in a sample of rheumatoid arthritis patients. Methods. Logistic regression analyses were conducted using baseline and one-year data (n = 262). Pain intensity in the last 24 hours was measured on a 0-10 numerical rating scale and in the last month using an item from the Arthritis Impact Measurement Scale 2 (AIMS2). AIMS2 also provided frequency of severe pain, pain composite scores, and patient-reported limitations. Physician-rated function was also examined. Results. Composite AIMS2 pain scale performed best, predicting every functional outcome with the greatest magnitude, a one-point increase in pain score predicting 21% increased odds of limitations (combined patient and physician report). However, its constituent item-frequency of severe pain in the last month-performed nearly as well (19% increased odds). Pain intensity measures in last month and last 24 hours yielded inconsistent findings. Conclusion. Although all measures of pain predicted some functional limitations, predictive consistency varied by measure. Frequency of severe pain in the last month provided a good balance of brevity and predictive power.

Abstract Image

疼痛预测一年后的功能:类风湿关节炎样本中疼痛测量的比较。
背景。在测量疼痛以预测未来功能时,指导仅限于最佳测量方法和参考时间段。目标。研究不同的疼痛测量方法如何预测类风湿关节炎患者一年后的功能限制。方法。使用基线和一年的数据进行Logistic回归分析(n = 262)。过去24小时的疼痛强度是用0-10的数值评分量表来测量的,过去一个月的疼痛强度是用关节炎影响测量量表2 (AIMS2)中的一个项目来测量的。AIMS2还提供了严重疼痛的频率、疼痛综合评分和患者报告的局限性。还检查了医生评定的功能。结果。综合AIMS2疼痛量表表现最好,预测每项功能结果的幅度最大,疼痛评分每增加1分,预测局限性的几率增加21%(综合患者和医生报告)。然而,它的组成项目——上个月剧烈疼痛的频率——表现得几乎一样好(增加了19%的几率)。上个月和过去24小时的疼痛强度测量结果不一致。结论。尽管所有的疼痛测量都预测了一些功能限制,但预测的一致性因测量而异。上个月剧烈疼痛的频率提供了简洁性和预测能力的良好平衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Pain Research and Treatment
Pain Research and Treatment Medicine-Anesthesiology and Pain Medicine
CiteScore
3.60
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信