Prevalence, Trajectory, and Predictors of Poststroke Pain: Retrospective Analysis of Pooled Clinical Trial Data Set

Author:

Ali Myzoon12ORCID,Tibble Holly3,Brady Marian C.2,Quinn Terence J.1ORCID,Sunnerhagen Katharina S.45,Venketasubramanian Narayanaswamy6ORCID,Shuaib Ashfaq7ORCID,Pandyan Anand8ORCID,Mead Gillian9ORCID,Lees K.R.,Alexandrov A.,Bath P.M.,Bluhmki E.,Bornstein N.,Chen C.,Claesson L.,Curram J.,Davis S.M.,Diener H-C.,Donnan G.,Fisher M.,Ginsberg M.,Gregson B.,Grotta J.,Hacke W.,Hennerici M.G.,Hommel M.,Kaste (Emeritus) M.,Lyden P.,Marler J.,Muir K.,Roffe C.,Teal P.,Wahlgren N.G.,Warach S.,Ali M.,Ashburn A.,Barer D.,Barzel A.,Bernhardt J.,Bowen A.,Drummond A.,Edmans J.,English C.,Gladman (Emeritus) J.,Godecke E.,Hiekkala S.,Hoffman T.,Kalra L.,Kuys S.,Langhorne P.,Laska A.C.,Lees K.R.,Logan P.,Machner B.,Morris J.,Pollock A.,Pomeroy V.,Rodgers H.,Sackley C.,Shaw L.,Stott D.J.,Tyson S.,van Vliet P.,Walker M.,Whiteley W.,Hanley D.F.,Butcher K.,Davis S.,Gregson B.,Lees K.R.,Lyden P.,Mayer S.,Muir K.,Steiner T.

Affiliation:

1. Institute of Cardiovascular and Metabolic Health, University of Glasgow, United Kingdom (M.A., T.J.Q.).

2. NMAHP Research Unit, Glasgow Caledonian University, United Kingdom (M.A., M.C.B.).

3. Usher Institute (H.T.)

4. Department of Clinical Neuroscience, University of Gothenburg, Sweden (K.S.S.).

5. Sahlgrenska University Hospital, Gothenburg, Sweden (K.S.S.).

6. Raffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore (N.V.).

7. Division of Neurology, Department of Medicine, University of Alberta, Edmonton, Canada (A.S.).

8. Faculty of Health and Social Sciences, Bournemouth University, United Kingdom (A.P.).

9. Division of Health Sciences, Geriatric Medicine, University of Edinburgh, United Kingdom (G.M.).

Abstract

BACKGROUND: Poststroke pain remains underdiagnosed and inadequately managed. To inform the optimum time to initiate interventions, we examined prevalence, trajectory, and participant factors associated with poststroke pain. METHODS: Eligible studies from the VISTA (Virtual International Stroke Trials Archives) included an assessment of pain. Analyses of individual participant data examined demography, pain, mobility, independence, language, anxiety/depression, and vitality. Pain assessments were standardized to the European Quality of Life Scale (European Quality of Life 5 Dimensions 3 Level) pain domain, describing no, moderate, or extreme pain. We described pain prevalence, associations between participant characteristics, and pain using multivariable models. RESULTS: From 94 studies (n>48 000 individual participant data) in VISTA, 10 (n=10 002 individual participant data) included a pain assessment. Median age was 70.0 years (interquartile range [59.0–77.1]), 5560 (55.6%) were male, baseline stroke severity was National Institutes of Health Stroke Scale score 10 (interquartile range [7–15]). Reports of extreme pain ranged between 3% and 9.5% and were highest beyond 2 years poststroke (31/328 [9.5%]); pain trajectory varied by study. Poorer independence was significantly associated with presence of moderate or extreme pain (5 weeks–3 months odds ratio [OR], 1.5 [95% CI, 1.4–1.6]; 4–6 months OR, 1.7 [95% CI, 1.3–2.1]; >6 months OR, 1.5 [95% CI, 1.2–2.0]), and increased severity of pain (5 weeks–3 months: OR, 1.2 [95% CI, 1.1–1.2]; 4–6 months OR, 1.1 [95% CI, 1.1–1.2]; >6 months, OR, 1.2 [95% CI, 1.1–1.2]), after adjusting for covariates. Anxiety/depression and lower vitality were each associated with pain severity. CONCLUSIONS: Between 3% and 9.5% of participants reported extreme poststroke pain; the presence and severity of pain were independently associated with dependence at each time point. Future studies could determine whether and when interventions may reduce the prevalence and severity of poststroke pain.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Advanced and Specialized Nursing,Cardiology and Cardiovascular Medicine,Neurology (clinical)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3