Development of the ADO-SQ model to predict 1-year mortality in patients with COPD

DOI

Goals of end-of-life care must be adapted to the needs of patients with chronic pulmonary disease (COPD) who are in the last phase of life. However, identification of those patients is limited by 1) moderate performances of existing prognostic models, and 2) limited validation of the often-recommended surprise question (SQ). We prospectively included COPD patients from five hospitals in the Netherlands to develop a clinical prediction model to predict 1-year mortality in patients with COPD. The ADO-SQ model, which consists of the ADO model (Age, Dyspnea, airflow Obstruction) and SQ, offers improved discriminative performance for predicting 1-year mortality compared to the SQ and ADO. A nomogram and web application were developed.

Date Submitted: 2021-02-02

Identifier
DOI https://doi.org/10.17026/dans-zj6-qafm
Metadata Access https://lifesciences.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/dans-zj6-qafm
Provenance
Creator C.C.D. van der Rijt ORCID logo
Publisher DANS Data Station Life Sciences
Contributor C. Owusuaa; C. Owusuaa (Erasmus MC); A. van der Heide (Erasmus MC); D. Nieboer (Erasmus MC)
Publication Year 2021
Rights DANS Licence; info:eu-repo/semantics/restrictedAccess; https://doi.org/10.17026/fp39-0x58
OpenAccess false
Contact C. Owusuaa (Erasmus MC)
Representation
Resource Type Dataset
Format application/x-rlang-transport; text/x-fixed-field; application/x-stata-14; application/x-spss-sav; application/x-spss-syntax; application/pdf; application/zip
Size 4620; 155241; 119683; 88268; 7108; 808606; 19974; 272570; 456745
Version 1.0
Discipline Life Sciences; Medicine