External validation of a COPD prediction model using population-based primary care data: a nested case-control study.

ABSTRACT: Emerging models for predicting risk of chronic obstructive pulmonary disease (COPD) require external validation in order to assess their clinical value. We validated a previous model for predicting new onset COPD in a different database. We randomly drew 38,597 case-control pairs (total N = 77,194) of individuals aged ≥35 years and matched for sex, age, and general practice from the United Kingdom Clinical Practice Research Datalink database. We assessed accuracy of the model to discriminate between COPD cases and non-cases by calculating area under the receiver operator characteristic (ROC_AUC) for the prediction scores. Analogous to the development model, ever smoking (OR 6.70; 95%CI 6.41-6.99), prior asthma (OR 6.43; 95%CI 5.85-7.07), and higher socioeconomic deprivation (OR 2

SUBMITTER: Nwaru BI 

PROVIDER: S-EPMC5356333 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature