Objective
Localized scleroderma (LS) can negatively affect children’s quality of life (QoL), but predictors of impact are not well described. We sought to identify predictors of QoL impact in pediatric LS patients.
Methods
We analyzed longitudinal data from a single-center cohort of pediatric LS patients, using hierarchical generalized linear modeling (HGLM) to identify predictors of QoL impact. HGLM is useful for nested data and allows for evaluation of both time-variant and time-invariant predictors.
Results
The number of extracutaneous manifestations (ECMs) (e.g. joint contracture, hemifacial atrophy) and female gender predicted negative QoL impact, defined as Children’s Dermatology Life Quality Index (CDLQI) score > 1 (p = 0.019, p = 0.002 respectively). As time from initial visit increased, the odds of reporting negative QoL impact decreased (p < 0.001).
Conclusion
Our results suggest that ECMs, gender, and time from initial visit are more predictive of QoL impact in LS than cutaneous features. Further study is required to determine which ECMs have the most impact on QoL, which factors underlie gender differences in QoL in LS, and why increasing time from initial visit appears to be protective. Improved understanding of predictors of QoL impact may allow for identification of patients at risk of poorer outcomes and tailoring of treatment and psychosocial support.