Mapping the relationship between clinical and quality-of-life outcomes in patients with ankylosing spondylitis. (4th March 2017)

• Record Type: Journal Article
• Authors: Mlcoch, Tomas; Sedova, Liliana; Stolfa, Jiri; Urbanova, Monika; Suchy, David; Smrzova, Andrea; Jircikova, Jitka; Pavelka, Karel; Dolezal, Tomas
• Is Part Of: Expert review of pharmacoeconomics & outcomes research. Volume 17:Number 2(2017)
• Page Start: 203
• Page End: 211
• Publication Date: 2017-03-04
• Subjects: Ankylosing spondylitis -- mapping -- outcomes research -- health-related quality of life -- fixed effect regression -- longitudinal analysis -- regression analysis; Pharmacology -- Economic aspects -- Periodicals; 338.47615105
• DOI: 10.1080/14737167.2016.1200468
• Languages: English
• ISSNs: 1473-7167

Abstract

ABSTRACT: Aim : To map health-related quality of life (Qol) with clinical parameters BASFI and ASDAS-CRP measure, and other covariates. Methods : Our prospective multicenter non-interventional observation study of ankylosing spondylitis (AS) collected data about QoL and clinical outcomes on the initial and four subsequent visits. We employed simple linear regression analysis of a cross-sectional dataset, and fixed effect, random effect and pooled linear regression of a longitudinal dataset. Results : We showed that BASFI and ASDAS-CRP are very strong, robust predictors of EQ-5D utilities in all regression specifications together with sex (female), invalidity, and activity impairment. Additionally, the longitudinal regression analysis showed that a fixed effect model may be a viable alternative to the most commonly used random effect model or pooled linear regression due to the nature of our dataset. Conclusion : This is one of the first studies using a fixed effect model in longitudinal patient-level data, although, this method has been widely used in economics.