Development of Multivariable Prediction Models for the Identification of Patients Admitted to Hospital with an Exacerbation of COPD and the Prediction of Risk of Readmission: A Retrospective Cohort Study using Electronic Medical Record Data
CONCLUSION: We generated clinical prediction models to identify AECOPDs during hospitalization and to predict 30-day readmissions after an acute exacerbation from a dataset derived from available EMR data. Further work is needed to improve and externally validate these models.PMID:37555513 | DOI:10.1080/15412555.2023.2242493
Source: COPD: Journal of Chronic Obstructive Pulmonary Disease - Category: Respiratory Medicine Authors: Reza Fakhraei John Matelski Andrea Gershon Tetyana Kendzerska Lauren Lapointe-Shaw Lanujan Kaneswaran Robert Wu Source Type: research