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Prediction of damage trajectories in systemic sclerosis using group-based trajectory modelling

Lara D. Veeken, vol. 62, pp. 3059–3066

Abstract

OBJECTIVES: Damage accrual in SSc can be tracked using the Scleroderma Clinical Trials Consortium Damage Index (DI). Our goal was to develop a prediction model for damage accrual in SSc patients with early disease. METHODS: Using patients with <2 years disease duration from Canada and Australia as a derivation cohort, and from the Netherlands as a validation cohort, we used group-based trajectory modelling (GBTM) to determine 'good' and 'bad' latent damage trajectories. We developed a prediction model from this analysis and applied it to patients from derivation and validation cohorts. We plotted the actual DI trajectories of the patients predicted to be in 'good' or 'bad' groups. RESULTS: We found that the actual trajectories of damage accumulation for lcSSc and dcSSc were very different, so we studied each subset separately. GBTM found two distinct trajectories in lcSSc and three in dcSSc. We collapsed the two worse trajectories in the dcSSc into one group and developed a prediction model for inclusion in either 'good' or 'bad' trajectories. The performance of models using only baseline DI and sex was excellent with ROC AUC of 0.9313 for lcSSc and 0.9027 for dcSSc. Using this model, we determined whether patients would fall into 'good' or 'bad' trajectory groups and then plotted their actual trajectories which showed clear differences between the predicted 'good' and 'bad' cases in both derivation and validation cohorts. CONCLUSIONS: A simple model using only cutaneous subset, baseline DI and sex can predict damage accumulation in early SSc.

Authors 36

  1. Murray G Baron corresponding

    Lady Davis Institute for Medical Research

    Affiliation as printed

    Lady Davis Institute for Medical Research , Montreal, Quebec, Canada

  2. Lady Davis Institute for Medical Research

    Affiliation as printed

    Lady Davis Institute for Medical Research , Montreal, Quebec, Canada

  3. University of Manitoba

    Affiliation as printed

    Rheumatology, Faculty of Medicine, University of Manitoba , Winnipeg, Manitoba, Canada

  4. Leiden University

    Affiliation as printed

    Department of Rheumatology, Leiden University , Leiden, The Netherlands

  5. St Vincent's Hospital Melbourne

    Affiliation as printed

    Division of Rheumatology, St. Vincent’s Hospital Melbourne , Fitzroy, Victoria, Australia

  6. University of Alberta

    Affiliation as printed

    Department of Medicine, University of Alberta , Edmonton, Alberta, Canada

  7. Lady Davis Institute for Medical Research

    Affiliation as printed

    Lady Davis Institute for Medical Research , Montreal, Quebec, Canada

  8. Harvard University · Massachusetts General Hospital

    Affiliation as printed

    Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Harvard Medical School , Boston, MA, USA

  9. Monash Health

    Affiliation as printed

    Monash Health , Clayton, Victoria, Australia

  10. Monash Health

    Affiliation as printed

    Monash Health , Clayton, Victoria, Australia

  11. Royal Adelaide Hospital · The University of Adelaide

    Affiliation as printed

    Discipline of Medicine, University of Adelaide , Adelaide, South Australia, Australia

    Royal Adelaide Hospital , Adelaide, South Australia, Australia

  12. University of Alberta · The University of Melbourne · St Vincent's Hospital Melbourne

    Affiliation as printed

    Department of Medicine, University of Alberta , Edmonton, Alberta, Canada

    University of Melbourne at St-Vincent Hospital , Melbourne, Fitzroy, Victoria, Australia

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