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Investigating the trajectory of functional disability in systemic sclerosis: group-based trajectory modelling of the Health Assessment Questionnaire-Disability Index


1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12

 

  1. The University of Melbourne, Victoria, and St. Vincent’s Hospital Melbourne, Victoria, Australia.
  2. St. Vincent’s Hospital Melbourne, Victoria, Australia.
  3. Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, and McGill University, Montreal, Canada.
  4. University of Adelaide, South Australia, and Royal Adelaide Hospital, Adelaide, South Australia, Australia.
  5. Monash Health, Melbourne, Victoria, and Monash University, Melbourne, Victoria, Australia.
  6. Monash Health, Melbourne, Victoria, Australia Monash University, Melbourne, Victoria, Australia
  7. Royal Adelaide Hospital, Adelaide, South Australia, Australia.
  8. Fiona Stanley Hospital, Perth, Western Australia, Australia.
  9. The University of Melbourne, Victoria, and St. Vincent’s Hospital Melbourne, Victoria, Australia.
  10. St. Vincent’s Hospital Melbourne, Victoria, Australia.
  11. The University of Melbourne, Victoria; St. Vincent’s Hospital Melbourne, Victoria; The University of Sydney School of Public Health, Sydney, New South Wales, and Royal Prince Alfred Hospital Sydney, New South Wales, Australia.
  12. The University of Melbourne, Victoria, and St. Vincent’s Hospital Melbourne, Victoria, Australia. laura.ross@unimelb.edu.au

CER17277
2024 Vol.42, N°8
PI 1581, PF 1589
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PMID: 39152747 [PubMed]

Received: 07/11/2023
Accepted : 08/01/2024
In Press: 02/08/2024
Published: 14/08/2024

Abstract

OBJECTIVES:
To identify the trajectories and clinical associations of functional disability in systemic sclerosis (SSc).
METHODS:
Australian Scleroderma Cohort Study (ASCS) participants meeting ACR/EULAR criteria for SSc recruited within 5 years of disease onset, with ≥2 Health Assessment Questionnaire-Disability Index (HAQ-DI) scores were included. Group based trajectory modelling (GBTM) was used to identify the number and shape of HAQ-DI trajectories. Between group comparisons were made using the chi-squared test, two-sample t-test or Wilcoxon rank-sum test as appropriate. Multiple logistic regression was used to identify features associated with trajectory group membership. Survival analyses were performed using Kaplan Meier and Cox proportional hazard modelling.
RESULTS:
We identified two HAQ-DI trajectory groups within 426 ASCS participants with incident SSc: low-stable disability (n=221, 52%), and high-increasing disability (n=205, 48%). Participants with high-increasing disability were older at disease onset, more likely to have diffuse SSc (dcSSc), cardiopulmonary disease, multimorbidity, digital ulcers, and gastrointestinal involvement (all p≤0.01), as was use of immunosuppression (p<0.01). Multimorbidity was associated with high-increasing trajectory group membership (OR3.1, 95%CI1.1-8.8, p=0.04); independently, multiple SSc features were also strongly associated including dcSSc (OR2.3, 95%CI1.3-4.2, p<0.01), proximal weakness (OR7.3, 95%CI2.0-27.1, p<0.01) and joint contractures (OR2.7, 95%CI1.3-5.3, p<0.01). High-increasing physical disability was associated with an almost two-fold increased risk of mortality (HR1.9, 95%CI1.0-3.8, p=0.05), and higher symptom burden.
CONCLUSIONS:
Two trajectories of functional disability in SSc were identified. Those with high-increasing functional disability had a distinct clinical phenotype and worse survival compared to those with low-stable functional disability. These data highlight the pervasive nature of physical disability in SSc, and its prognostic importance.

DOI: https://doi.org/10.55563/clinexprheumatol/9erk5j

Rheumatology Article

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