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Spirometry longitudinal data analysis software (SPIROLA) for analysis of spirometry data in workplace prevention or COPD treatment.

Authors
Hnizdo-E; Yan-T; Hakobyan-A; Enright-P; Beeckman-Wagner-LA; Hankinson-J; Fleming-J; Petsonk-EL
Source
Open Med Inform J 2010 Jul; 4:94-102
NIOSHTIC No.
20037967
Abstract
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.
Keywords
Respiratory-function-tests; Disease-prevention; Spirometry; Chronic-inflammation; Lung-disorders; Airway-obstruction; Lung-function; Computer-models; Computer-software; Biological-monitoring; Analytical-models; Respiratory-system-disorders; Surveillance; Author Keywords: Spirometry monitoring; prevention; COPD; longitudinal spirometry
Contact
Eva Hnizdo, Division of Respiratory Disease Studies, National Institute for Occupational Safety and Health, 1095 Willowdale Road, Morgantown, WV 26505, USA
Publication Date
20100708
Document Type
Journal Article
Email Address
ehnizdo@cdc.gov
Fiscal Year
2010
NTIS Accession No.
NTIS Price
ISSN
1874-4311
NIOSH Division
DRDS
Source Name
The Open Medical Informatics Journal
State
WV; AZ; GA
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