A comparison of change point models with application to longitudinal lung function measurements in children with

Angela Moss1, E Juarez-Colunga1,2, Farouk Nathoo3

  • 1Adult and Child Consortium for Health Outcomes and Delivery Science, University of Colorado Denver School of Medicine, Aurora, 80045, CO, U.S.A.

Statistics in Medicine
|April 28, 2016
PubMed

Insights

Cystic fibrosis (CF) patients show varied lung function decline rates. A mixed random change point model identified two adolescent subgroups: one with a slow 0.5% FEV1 decline and another with a rapid 4.4% FEV1 decline.

Area of Science:

  • Pulmonology
  • Biostatistics
  • Pediatric Medicine

Background:

  • Cystic fibrosis (CF) is a genetic disorder causing progressive lung function loss.
  • Adolescence is a critical period for accelerated lung function decline in CF.
  • A hypothesis suggests a subgroup of CF patients experiences a slower, more stable decline.

Purpose of the Study:

  • To model lung function decline in pediatric and adolescent CF patients.
  • To compare four distinct change point models for analyzing lung function trajectories.
  • To identify distinct patient subgroups based on lung function decline patterns.

Main Methods:

  • Utilized data from the University of Colorado CF Children's Registry.
  • Investigated four change point models: mixture-random, mixture-fixed, random, and fixed.
  • Employed posterior predictive simulation for individual and population-level analysis.
  • Conducted a simulation study to assess model misspecification effects.

Main Results:

  • The mixed random change point model was identified as the most suitable.
  • Approximately 30% of adolescents exhibited a steady annual decline of 0.5% in FEV1.
  • Roughly 70% of adolescents experienced an accelerated decline of 4.4% in FEV1 annually.
  • This accelerated decline began around the average age of 14.6 years.

Conclusions:

  • The mixed random change point model effectively captures heterogeneous lung function decline in CF adolescents.
  • Identified two distinct trajectories of lung function decline, highlighting personalized disease progression.
  • Findings underscore the importance of age-specific monitoring and intervention strategies in CF care.

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