Area under the expiratory flow-volume curve: predicted values by regression and deep learning methods and recommendations for clinical practice.

Journal: BMJ open respiratory research
PMID: 33926960

Abstract

BACKGROUND: In spirometry, the area under expiratory flow-volume curve (AEX-FV) was found to perform well in diagnosing and stratifying physiologic impairments, potentially lessening the need for complex lung volume testing. Expanding on prior work, this study assesses the accuracy and the utility of several models of estimating AEX-FV based on forced vital capacity (FVC) and several instantaneous flows. These models could be incorporated in regular spirometry reports, especially when actual AEX-FV measurements are not available.

Authors

  • Octavian C Ioachimescu
    School of Medicine, Department of Medicine, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia, USA oioac@yahoo.com.
  • José A Ramos
    Cleveland Clinic, Respiratory Institute, Cleveland, Ohio, USA.
  • Michael Hoffman
    Cleveland Clinic, Respiratory Institute, Cleveland, Ohio, USA.
  • James K Stoller
    Cleveland Clinic, Education Institute, Cleveland, Ohio, USA.

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