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Journal of Clinical Monitoring and Computing

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03-02-2023 | Heart Failure | Original Research

Software development to standardize the clinical diagnosis of exercise oscillatory ventilation in heart failure

Authors: Gustavo dos Santos Ribeiro, Thomas Beltrame, Luís Fernando Deresz, Dominique Hansen, Piergiuseppe Agostoni, Marlus Karsten

Published in: Journal of Clinical Monitoring and Computing | Issue 5/2023

Abstract

Background

Exercise oscillatory ventilation (EOV) is characterized by periodic oscillations of minute ventilation during cardiopulmonary exercise testing (CPET). Despite its prognostic value in chronic heart failure (HF), its diagnosis is complex due to technical limitations. An easier and more accurate way of EOV identification can contribute to a better approach and clinical diagnosis. This study aims to describe a software development to standardize the EOV diagnosis from CPET’s raw data in heart failure patients and test its reliability (intra- and inter-rater).

Methods

The software was developed in the “drag-and-drop” G-language using LabVIEW^®. Five EOV definitions (Ben-Dov, Corrà, Kremser, Leite, and Sun definitions), two alternative approaches, one smoothing technique, and some basic statistics were incorporated into the interface to visualize four charts of the ventilatory response. EOV identification was based on a set of criteria verified from the interaction between amplitude, cycle length, and oscillation time. Two raters analyzed the datasets. In addition, repeated measurements were verified after six months using about 25% of the initial data. Cohen’s kappa coefficient (κ) was used to investigate the reliability.

Results

Overall, 391 tests were analyzed in duplicate (inter-rater reliability) and 100 tests were randomized for new analysis (intra-rater reliability). High inter-rater (κ > 0.80) and intra-rater (κ > 0.80) reliability of the five EOV diagnoses were observed.

Conclusion

The present study proposes novel semi-automated software to detect EOV in HF, with high inter and intra-rater agreements. The software project and its tutorial are freely available for download.

Available only for authorised users

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Title: Software development to standardize the clinical diagnosis of exercise oscillatory ventilation in heart failure
Authors: Gustavo dos Santos Ribeiro
Thomas Beltrame
Luís Fernando Deresz
Dominique Hansen
Piergiuseppe Agostoni
Marlus Karsten
Publication date: 03-02-2023
Publisher: Springer Netherlands
Keyword: Heart Failure
Published in: Journal of Clinical Monitoring and Computing / Issue 5/2023
Print ISSN: 1387-1307
Electronic ISSN: 1573-2614
DOI: https://doi.org/10.1007/s10877-023-00976-9

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Software development to standardize the clinical diagnosis of exercise oscillatory ventilation in heart failure

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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