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Mapping the relationship between clinical and quality-of-life outcomes in patients with ankylosing spondylitis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F17%3A10337502" target="_blank" >RIV/00216208:11110/17:10337502 - isvavai.cz</a>

  • Alternative codes found

    RIV/00669806:_____/17:10337502 RIV/00023728:_____/17:N0000056

  • Result on the web

    <a href="http://dx.doi.org/10.1080/14737167.2016.1200468" target="_blank" >http://dx.doi.org/10.1080/14737167.2016.1200468</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/14737167.2016.1200468" target="_blank" >10.1080/14737167.2016.1200468</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mapping the relationship between clinical and quality-of-life outcomes in patients with ankylosing spondylitis

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30226 - Rheumatology

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Expert Review of Pharmacoeconomics and Outcomes Research

  • ISSN

    1473-7167

  • e-ISSN

  • Volume of the periodical

    17

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    203-211

  • UT code for WoS article

    000399551500010

  • EID of the result in the Scopus database

    2-s2.0-84976313915