Pregled bibliografske jedinice broj: 1180938
Health Assessment Questionnaire-Disability Index (HAQ-DI) use in modelling disease progression in diffuse cutaneous systemic sclerosis: an analysis from the EUSTAR database
Health Assessment Questionnaire-Disability Index (HAQ-DI) use in modelling disease progression in diffuse cutaneous systemic sclerosis: an analysis from the EUSTAR database // Arthritis Research & Therapy, 22 (2020), 1; 1-11 doi:10.1186/s13075-020-02329-2 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1180938 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Health Assessment Questionnaire-Disability Index (HAQ-DI) use in
modelling disease progression in diffuse cutaneous systemic
sclerosis: an analysis from the EUSTAR database
Autori
Allanore, Yannick ; on behalf of the EUSTAR Collaborators ; Bozzi, Sylvie ; Terlinden, Augustin ; Huscher, Doerte ; Amand, Caroline ; Soubrane, Christina ; Siegert, Elise ; Czirják, László ; Carreira, Patricia E. ; Hachulla, Eric ; Zanatta, Elisabetta ; Li, Mengtao ; Airò, Paolo ; Mendoza, Fabian A. ; Rosato, Edoardo ; Distler, Oliver
Izvornik
Arthritis Research & Therapy (1478-6362) 22
(2020), 1;
1-11
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
EUSTAR registry, Diffuse cutaneous systemic sclerosis, Health Assessment Questionnaire-Disability Index, HAQ-DI score
Sažetak
Background: Patients with diffuse cutaneous systemic sclerosis (dcSSc) have a poor prognosis. The importance of monitoring subjective measures of functioning and disability, such as the Health Assessment Questionnaire- Disability Index (HAQ-DI), is important as dcSSc is rated by patients as worse than diabetes or hemodialysis for quality of life impairment. This European Scleroderma Trials and Research (EUSTAR) database analysis was undertaken to examine the importance of impaired functionality in dcSSc prognosis. The primary objectives were to identify predictors of death and HAQ-DI score progression over 1 year. HAQ-DI score, major advanced organ involvement, and death rate were also used to develop a comprehensive model to predict lifetime dcSSc progression. Methods: This was an observational, longitudinal study in patients with dcSSc registered in EUSTAR. Death and HAQ-DI scores were, respectively, analyzed by Cox regression and linear regression analyses in relation to baseline covariates. A microsimulation Markov model was developed to estimate/predict natural progression of dcSSc over a patient’s lifetime.
Izvorni jezik
Engleski
Znanstvena područja
Kliničke medicinske znanosti
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi arthritis-research.biomedcentral.comCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- MEDLINE