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Mapping Quality of Life (EQ-5D) from DAPsA, Clinical DAPsA and HAQ in Psoriatic Arthritis
T. Mlcoch, J. Tuzil, L. Sedova, J. Stolfa, M. Urbanova, D. Suchy, A. Smrzova, J. Jircikova, T. Hrnciarova, K. Pavelka, T. Dolezal,
Jazyk angličtina Země Nový Zéland
Typ dokumentu časopisecké články, multicentrická studie
NLK
ProQuest Central
od 2008-01-01 do Před 1 rokem
Nursing & Allied Health Database (ProQuest)
od 2008-01-01 do Před 1 rokem
Health & Medicine (ProQuest)
od 2008-01-01 do Před 1 rokem
Family Health Database (ProQuest)
od 2008-01-01 do Před 1 rokem
Public Health Database (ProQuest)
od 2008-01-01 do Před 1 rokem
- MeSH
- dospělí MeSH
- kvalita života psychologie MeSH
- kvalitativně upravené roky života * MeSH
- lidé středního věku MeSH
- lidé MeSH
- posuzování pracovní neschopnosti MeSH
- prospektivní studie MeSH
- průřezové studie MeSH
- psoriatická artritida psychologie MeSH
- senioři MeSH
- stupeň závažnosti nemoci MeSH
- zdravotní stav * MeSH
- zdravotnické přehledy statistika a číselné údaje MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
BACKGROUND: Clinical trials and observational studies lacking measures of health-related quality of life (QoL) are often inapplicable when conducting cost-effectiveness analyses using quality-adjusted life-years (QALYs). The only solution is to map QoL ex post from additionally collected clinical outcomes and generic QoL instruments. Nonetheless, mapping studies are absent in psoriatic arthritis (PsA). METHODS: In this 2-year, prospective, multicentre, non-interventional study of PsA patients, EQ-5D and key clinical parameters such as Disease Activity in PsA (DAPsA), clinical DAPsA (cDAPsA; DAPsA without C-reactive protein [CRP]), and Health Assessment Questionnaire disability index (HAQ) were collected. We employed a linear mixed-effect regression model (ME) of the longitudinal dataset to explore the best predictors of QoL. RESULTS: A total of 228 patients were followed over 873 appointments/observations. DAPsA, cDAPsA and HAQ were stable and highly significant predictors of EQ-5D utilities in both cross-sectional and longitudinal analyses. The best prediction was provided using a linear ME with HAQ and cDAPsA or DAPsA. A HAQ increase of 1 point represented a decrease in EQ-5D by -0.204 or -0.203 (p < 0.0001); a one-point increase in cDAPsA or DAPsA dropped EQ-5D equally by -0.005 (p < 0.0001). The ME revealed steeper and more accurate association compared with cross-sectional regressions or non-linear models/transformations. CONCLUSIONS: This is the first mapping study conducted in PsA and we hope that our study will encourage further mapping studies in PsA. The results showed that in cases where CRP is absent, cDAPsA provides similar results to DAPsA in predicting QoL.
3rd Internal Clinic University Hospital Olomouc Olomouc Czech Republic
Department of Clinical Pharmacology Rheumatology University Hospital Plzen Plzen Czech Republic
Citace poskytuje Crossref.org
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- $a BACKGROUND: Clinical trials and observational studies lacking measures of health-related quality of life (QoL) are often inapplicable when conducting cost-effectiveness analyses using quality-adjusted life-years (QALYs). The only solution is to map QoL ex post from additionally collected clinical outcomes and generic QoL instruments. Nonetheless, mapping studies are absent in psoriatic arthritis (PsA). METHODS: In this 2-year, prospective, multicentre, non-interventional study of PsA patients, EQ-5D and key clinical parameters such as Disease Activity in PsA (DAPsA), clinical DAPsA (cDAPsA; DAPsA without C-reactive protein [CRP]), and Health Assessment Questionnaire disability index (HAQ) were collected. We employed a linear mixed-effect regression model (ME) of the longitudinal dataset to explore the best predictors of QoL. RESULTS: A total of 228 patients were followed over 873 appointments/observations. DAPsA, cDAPsA and HAQ were stable and highly significant predictors of EQ-5D utilities in both cross-sectional and longitudinal analyses. The best prediction was provided using a linear ME with HAQ and cDAPsA or DAPsA. A HAQ increase of 1 point represented a decrease in EQ-5D by -0.204 or -0.203 (p < 0.0001); a one-point increase in cDAPsA or DAPsA dropped EQ-5D equally by -0.005 (p < 0.0001). The ME revealed steeper and more accurate association compared with cross-sectional regressions or non-linear models/transformations. CONCLUSIONS: This is the first mapping study conducted in PsA and we hope that our study will encourage further mapping studies in PsA. The results showed that in cases where CRP is absent, cDAPsA provides similar results to DAPsA in predicting QoL.
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