A Risk Prediction Model for Mortality Among Smokers in the COPDGene® Study.

ABSTRACT:

Background

Risk factor identification is a proven strategy in advancing treatments and preventive therapy for many chronic conditions. Quantifying the impact of those risk factors on health outcomes can consolidate and focus efforts on individuals with specific high-risk profiles. Using multiple risk factors and longitudinal outcomes in 2 independent cohorts, we developed and validated a risk score model to predict mortality in current and former cigarette smokers.

Methods

We obtained extensive data on current and former smokers from the COPD Genetic Epidemiology (COPDGene^®) study at enrollment. Based on physician input and model goodness-of-fit measures, a subset of variables was selected to fit final Weibull survival models separately for men and women. Coeffici

SUBMITTER: Strand M 

PROVIDER: S-EPMC7883903 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature