Literature DB >> 35226416

Damage Trajectories in Systemic Sclerosis Using Group-Based Trajectory Modeling.

Ariane Barbacki1, Murray Baron1, Mianbo Wang1, Yuqing Zhang2, Wendy Stevens3, Joanne Sahhar4, Susanna Proudman5, Mandana Nikpour6, Ada Man7.   

Abstract

OBJECTIVE: Systemic sclerosis (SSc) is an autoimmune disease characterized by progressive organ damage, which can be measured using the Scleroderma Clinical Trials Consortium Damage Index (SCTC-DI). We aimed to identify whether distinct trajectories of damage accrual exist and determine which variables are associated with different trajectory groups.
METHODS: Incident cases of SSc (<2 years) were identified in the Australian Scleroderma Interest Group and Canadian Scleroderma Research Group prospective registries. Group-based trajectory modeling was used to identify SCTC-DI trajectories over the cohort's first 5 annual visits. Baseline variables associated with trajectory membership in a univariate analysis were examined in multivariable models.
RESULTS: 410 patients were included. Three trajectory groups were identified: low (54.6%), medium (36.2%) and high (10.3%) damage. Patients with faster damage accrual had higher baseline SCTC-DI. Older age (OR 1.57, 95% CI 1.18 - 2.10), male sex (OR 2.55, 95% CI 1.10 - 5.88), diffuse disease (OR 6.7, 95% CI 2.57 - 17.48), tendon friction rubs (OR 5.4, 95% CI 1.86 - 15.66), and elevated CRP (OR 1.98, 95% CI 1.49 - 2.63) increased the odds of being in the high damage group versus the reference (low damage), whereas Caucasian ethnicity (OR 0.31, 95% CI 0.12 - 0.75) and anti-centromere antibodies (OR 0.24, 95% CI 0.07 - 0.77) decreased them.
CONCLUSIONS: We identified three trajectories of damage accrual in a combined incident SSc cohort. Several characteristics increased the odds of belonging to worse trajectories. These findings may be helpful in recognizing patients in whom early aggressive treatment is necessary. This article is protected by copyright. All rights reserved.

Entities:  

Year:  2022        PMID: 35226416     DOI: 10.1002/acr.24873

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


  2 in total

1.  Dynamic trajectory of platelet counts after the first cycle of induction chemotherapy in AML patients.

Authors:  Yazhen Bi; Zhaohui Wang; Saran Feng; Yan Wang; Yang Zhao; Hong Li; Jingyi Yu; Qian Liu; Chuansheng Zhu; Mingzhuo Li
Journal:  BMC Cancer       Date:  2022-05-01       Impact factor: 4.638

2.  Anemia Is an Indicator for Worse Organ Damage Trajectories in Patients with Systemic Sclerosis: A Retrospective Study.

Authors:  Zhaohua Li; Dan Xu; Xintong Jiang; Ting Li; Yin Su; Rong Mu
Journal:  J Clin Med       Date:  2022-08-26       Impact factor: 4.964

  2 in total

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