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

Kód výsledku v 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>

Nalezeny alternativní kódy

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

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30226 - Rheumatology

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Expert Review of Pharmacoeconomics and Outcomes Research

ISSN

1473-7167

e-ISSN

—

Svazek periodika

17

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

203-211

Kód UT WoS článku

000399551500010

EID výsledku v databázi Scopus

2-s2.0-84976313915