Ontology highlight
ABSTRACT: Background
Goals of end-of-life care must be adapted to the needs of patients with chronic obstructive pulmonary disease (COPD) who are in the last phase of life. However, identification of those patients is limited by moderate performances of existing prognostic models and by limited validation of the often-recommended surprise question.Aim
To develop a clinical prediction model to predict 1-year mortality in patients with COPD.Design
Prospective study using logistic regression to develop a model in two steps: (1) external validation of the ADO, BODEX, or CODEX models (A = age; B = body mass index; C = comorbidity; D = dyspnea; EX = exacerbations; O = airflow obstruction); (2) updating of best performing model and extending it with the surprise question. Discrimina
SUBMITTER: Owusuaa C
PROVIDER: S-EPMC9087317 | biostudies-literature | 2022 May
REPOSITORIES: biostudies-literature