Mapping Quality of Life (EQ-5D) from DAPsA, Clinical DAPsA and HAQ in Psoriatic Arthritis
| Autor: | Jitka Jircikova, David Suchy, Monika Urbanova, T. Mlcoch, Liliana Šedová, Tomas Dolezal, Jan Tuzil, Andrea Smrzova, Tereza Hrnciarova, J. Stolfa, Karel Pavelka |
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| Rok vydání: | 2017 |
| Předmět: |
Adult
Male medicine.medical_specialty Cross-sectional study Health Status Severity of Illness Index Disability Evaluation 03 medical and health sciences Psoriatic arthritis 0302 clinical medicine Quality of life EQ-5D Internal medicine Humans Medicine Prospective Studies Prospective cohort study Aged 030203 arthritis & rheumatology business.industry 030503 health policy & services Arthritis Psoriatic Middle Aged medicine.disease Health Surveys humanities Quality-adjusted life year Clinical trial Cross-Sectional Studies Quality of Life Female Observational study Quality-Adjusted Life Years 0305 other medical science business |
| Zdroj: | The Patient - Patient-Centered Outcomes Research. 11:329-340 |
| ISSN: | 1178-1661 1178-1653 |
| DOI: | 10.1007/s40271-017-0285-1 |
| Popis: | 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). 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. 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 |
| Databáze: | OpenAIRE |
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