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Estimating rate of lung function change using clinical spirometry data

Estimating rate of lung function change using clinical spirometry data

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a7eec144b4d146ab83e14f645a29a7f3

Estimating rate of lung function change using clinical spirometry data

About this item

Full title

Estimating rate of lung function change using clinical spirometry data

Publisher

England: British Thoracic Society

Journal title

BMJ open respiratory research, 2024-10, Vol.11 (1), p.e001896

Language

English

Formats

Publication information

Publisher

England: British Thoracic Society

More information

Scope and Contents

Contents

RationaleIn chronic obstructive pulmonary disease (COPD), accurately estimating lung function from electronic health record (EHR) data would be beneficial but requires addressing complexities in clinically obtained testing. This study compared analytic methods for estimating rate of forced expiratory volume in one second (FEV1) change from EHR data...

Alternative Titles

Full title

Estimating rate of lung function change using clinical spirometry data

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a7eec144b4d146ab83e14f645a29a7f3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a7eec144b4d146ab83e14f645a29a7f3

Other Identifiers

ISSN

2052-4439

E-ISSN

2052-4439

DOI

10.1136/bmjresp-2023-001896

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