An Individualized Prediction Model for Long-term Lung Function Trajectory and Risk of COPD in the General Population.

Journal: Chest
PMID: 31542453

Abstract

BACKGROUND: Prediction of future lung function will enable the identification of individuals at high risk of developing COPD, but the trajectory of lung function decline varies greatly among individuals. This study involved the development and validation of an individualized prediction model of lung function trajectory and risk of airflow limitation in the general population.

Authors

  • Wenjia Chen
    Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
  • Don D Sin
    Department of Medicine, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.
  • J Mark FitzGerald
    Department of Medicine, Division of Respiratory Medicine, University of British Columbia, Vancouver, BC, Canada.
  • Abdollah Safari
    School of Mathematics, Statistics, and Computer Science, Faculty of Science, University of Tehran, Iran.
  • Amin Adibi
    Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada.
  • Mohsen Sadatsafavi
    Respiratory Evaluation Sciences Program, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, Canada; Division of Respiratory Medicine, Department of Medicine, The UBC Centre for Heart Lung Innovation, St. Paul's Hospital, University of British Columbia, Vancouver, BC, Canada; Institute for Heart and Lung Health, Division of Respiratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada; Centre for Clinical Epidemiology and Evaluation, University of British Columbia, Vancouver, BC, Canada.

Keywords

External Resources

Popular Topics
Recent Journals