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ABSTRACT: Background
Health-related quality of life (HRQL) is an important patient-reported outcome for chronic obstructive pulmonary disease (COPD).Aim
We developed models predicting chronic respiratory questionnaire (CRQ) dyspnoea, fatigue, emotional function, mastery and overall HRQL at 6 and 24 months using predictors easily available in primary care.Methods
We used the "least absolute shrinkage and selection operator" (lasso) method to build the models and assessed their predictive performance.Results
were displayed using nomograms.Results
For each domain-specific CRQ outcome, the corresponding score at baseline was the best predictor. Depending on the domain, these predictions could be improved by adding one to six other predictors, such as the other dom
SUBMITTER: Siebeling L
PROVIDER: S-EPMC4373411 | biostudies-literature | 2014 Aug
REPOSITORIES: biostudies-literature