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Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment

Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality. Periodic spirometry is often recommended for individuals with potential occupational exposure to respiratory hazards and in medical treatment of respiratory disease, to prevent COPD or improve treat...

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Autores principales: Hnizdo, Eva, Yan, Tieliang, Hakobyan, Artak, Enright, Paul, Beeckman-Wagner, Lu-Ann, Hankinson, John, Fleming, James, Lee Petsonk, Edward
Formato: Texto
Lenguaje:English
Publicado: Bentham Open 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936036/
https://www.ncbi.nlm.nih.gov/pubmed/20835361
http://dx.doi.org/10.2174/1874431101004010094
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author Hnizdo, Eva
Yan, Tieliang
Hakobyan, Artak
Enright, Paul
Beeckman-Wagner, Lu-Ann
Hankinson, John
Fleming, James
Lee Petsonk, Edward
author_facet Hnizdo, Eva
Yan, Tieliang
Hakobyan, Artak
Enright, Paul
Beeckman-Wagner, Lu-Ann
Hankinson, John
Fleming, James
Lee Petsonk, Edward
author_sort Hnizdo, Eva
collection PubMed
description Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality. Periodic spirometry is often recommended for individuals with potential occupational exposure to respiratory hazards and in medical treatment of respiratory disease, to prevent COPD or improve treatment outcome. To achieve the full potential of spirometry monitoring in preserving lung function, it is important to maintain acceptable precision of the longitudinal measurements, apply interpretive strategies that identify individuals with abnormal test results or excessive loss of lung function in a timely manner, and use the results for intervention on respiratory disease prevention or treatment modification. We describe novel, easy-to-use visual and analytical software, Spirometry Longitudinal Data Analysis software (SPIROLA), designed to assist healthcare providers in the above aspects of spirometry monitoring. Software application in ongoing workplace spirometry-based medical monitoring programs helped to identify increased spirometry data variability due to deteriorating test quality and subsequent improvement following interventions, and helped to enhance identification of individuals with excessive decline in lung function.
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spelling pubmed-29360362010-09-10 Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment Hnizdo, Eva Yan, Tieliang Hakobyan, Artak Enright, Paul Beeckman-Wagner, Lu-Ann Hankinson, John Fleming, James Lee Petsonk, Edward Open Med Inform J Article Chronic obstructive pulmonary disease (COPD) is one of the leading causes of morbidity and mortality. Periodic spirometry is often recommended for individuals with potential occupational exposure to respiratory hazards and in medical treatment of respiratory disease, to prevent COPD or improve treatment outcome. To achieve the full potential of spirometry monitoring in preserving lung function, it is important to maintain acceptable precision of the longitudinal measurements, apply interpretive strategies that identify individuals with abnormal test results or excessive loss of lung function in a timely manner, and use the results for intervention on respiratory disease prevention or treatment modification. We describe novel, easy-to-use visual and analytical software, Spirometry Longitudinal Data Analysis software (SPIROLA), designed to assist healthcare providers in the above aspects of spirometry monitoring. Software application in ongoing workplace spirometry-based medical monitoring programs helped to identify increased spirometry data variability due to deteriorating test quality and subsequent improvement following interventions, and helped to enhance identification of individuals with excessive decline in lung function. Bentham Open 2010-07-08 /pmc/articles/PMC2936036/ /pubmed/20835361 http://dx.doi.org/10.2174/1874431101004010094 Text en © Hnizdo et al.; Licensee Bentham Open. http://creativecommons.org/licenses/by-nc/3.0/ This is an open access article licensed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Hnizdo, Eva
Yan, Tieliang
Hakobyan, Artak
Enright, Paul
Beeckman-Wagner, Lu-Ann
Hankinson, John
Fleming, James
Lee Petsonk, Edward
Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment
title Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment
title_full Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment
title_fullStr Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment
title_full_unstemmed Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment
title_short Spirometry Longitudinal Data Analysis Software (SPIROLA) for Analysis of Spirometry Data in Workplace Prevention or COPD Treatment
title_sort spirometry longitudinal data analysis software (spirola) for analysis of spirometry data in workplace prevention or copd treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2936036/
https://www.ncbi.nlm.nih.gov/pubmed/20835361
http://dx.doi.org/10.2174/1874431101004010094
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