• LOGIN
    Login with username and password
Repository logo

BORIS Portal

Bern Open Repository and Information System

  • Publications
  • Projects
  • Funding
  • Research Data
  • Organizations
  • Researchers
  • LOGIN
    Login with username and password
Repository logo
Unibern.ch
  1. Home
  2. Publications
  3. 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.

Options
  • Details
BORIS DOI
10.48350/149996
Date of Publication
October 28, 2020
Publication Type
Article
Contributor
Allanore, Yannick
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
Subject(s)

600 - Technology::610...

Series
Arthritis research & therapy
ISSN or ISBN (if monograph)
1478-6354
Publisher
BioMed Central
Language
English
Publisher DOI
10.1186/s13075-020-02329-2
PubMed ID
33115544
Uncontrolled Keywords

Diffuse cutaneous sys...

Description
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.

RESULTS

The analysis included dcSSc patients with (N = 690) and without (N = 4132) HAQ-DI score assessments from the EUSTAR database. Baseline HAQ-DI score, corticosteroid treatment, and major advanced organ involvement were predictive of death on multivariable analysis; a 1-point increase in baseline HAQ-DI score multiplied the risk of death by 2.7 (p <  0.001) and multiple advanced major organ involvement multiplied the risk of death by 2.8 (p <  0.05). Multivariable analysis showed that baseline modified Rodnan Skin Score (mRSS) and baseline HAQ-DI score were associated with HAQ-DI score progression at 1 year (p <  0.05), but there was no association between baseline organ involvement and HAQ-DI score progression at 1 year. HAQ-DI score, major advanced organ involvement, and death were successfully used to model long-term disease progression in dcSSc.

CONCLUSIONS

HAQ-DI score and major advanced organ involvement were comparable predictors of mortality risk in dcSSc. Baseline mRSS and baseline HAQ-DI score were predictive of HAQ-DI score progression at 1 year, indicating a correlation between these endpoints in monitoring disease progression. It is hoped that this EUSTAR analysis may change physician perception about the importance of the HAQ-DI score in dcSSc.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/38961
Show full item
File(s)
FileFile TypeFormatSizeLicensePublisher/Copright statementContent
Health_Assessment_Questionnaire.pdfAdobe PDF930.72 KBAttribution (CC BY 4.0)publishedOpen
BORIS Portal
Bern Open Repository and Information System
Build: 396f6f [24.09. 11:22]
Explore
  • Projects
  • Funding
  • Publications
  • Research Data
  • Organizations
  • Researchers
More
  • About BORIS Portal
  • Send Feedback
  • Cookie settings
  • Service Policy
Follow us on
  • Mastodon
  • YouTube
  • LinkedIn
UniBe logo