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Predicting long-term pulmonary impairment from five years of spirometry data.

Authors
Baughman-P; Hnizdo-E; Enright-P
Source
Am J Respir Crit Care Med 2009 Apr; 179(Meeting Abstracts):A4538
NIOSHTIC No.
20036354
Abstract
RATIONALE: The sensitivity (SE) and specificity (SP) of various longitudinal limits of decline applied to serial test results from spirometry monitoring programs for the detection of individuals at high risk of future impairment lack a solid evidence base. METHODS: We studied annual spirometry data from the Lung Health Study (LHS) of adult smokers with mild COPD and from two monitoring programs for workers. The absolute limit (LLDa) and relative limit (LLDr) (Occup Environ Med 2007;64:701-7) were calculated on the first 5 years of data using SPIROLA software and were then tested for their ability to predict development of moderate impairment (FEV1 <60% predicted). The ATS-recommended FEV1 decline threshold of >15%/yr (LLDats) was also tested. The likelihood ratio statistic, LR=SE/(1-SP), was used to demonstrate potential clinical usefulness of the three limits. RESULTS: LLDr performed best for predicting impairment among LHS subjects, as demonstrated by a high likelihood ratio (LR). It also performed well for the workers. One-fourth of LHS subjects and one-half of workers who later developed impairment were identified by the LLDr. LLDats performed best for the workers, but had much lower LRs for the LHS subjects.
Keywords
Spirometry; Respiratory-system-disorders; Pulmonary-system-disorders; Lung-disease; Lung-disorders; Lung-function; Chronic-degenerative-diseases; Surveillance
CODEN
AJCMED
Publication Date
20090401
Document Type
Abstract
Email Address
goz2@cdc.gov
Fiscal Year
2009
NTIS Accession No.
NTIS Price
ISSN
1073-449X
NIOSH Division
DRDS
Source Name
American Journal of Respiratory and Critical Care Medicine
State
WV
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