Prediction of COPD risk accounting for time-varying smoking exposures.

ABSTRACT:

Rationale

Chronic Obstructive Pulmonary Disease (COPD) is the fourth leading cause of death in the United States. Studies have primarily assessed the relationship between smoking on COPD risk focusing on summary measures, like smoking status.

Objective

Develop a COPD risk prediction model incorporating individual time-varying smoking exposures.

Methods

The Nurses' Health Study (N = 86,711) and the Health Professionals Follow-up Study (N = 39,817) data was used to develop a COPD risk prediction model. Data was randomly split in 50-50 samples for model building and validation. Cox regression with time-varying covariates was used to assess the association between smoking duration, intensity and year-since-quit and self-reported COPD diagnosis incidence. We evaluated the

SUBMITTER: Chang JT 

PROVIDER: S-EPMC7946316 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature