Methodology for interpretation of longitudinal spirometry data.
Hnizdo-E; Yan-T; Sircar-K; Glindmeyer-HW
Proc Am Thorac Soc 2006 Apr; 3(Abstracts):A617
The procedure for monitoring and evaluating the rate of decline in lung function should accurately identify individuals with an excessive decline in lung function as early as possible. Currently there is no unified statistical framework that both enables interpretation of an individuals longitudinal spirometry data and takes into account the precision of the existing data. Using longitudinal data collected over a period of up to 15 years, we developed and tested a simple and practical statistical methodology for monitoring longitudinal data precision and for identification of individuals with an excessive decline in FEV1. The statistical methodology proved to be more sensitive with comparable specificity and predictive values in comparison to other methods for identification of individuals with excessive decline in lung function. Based on the methodology, we have developed and are evaluating computer software that offers detailed interpretation to health care providers on: the monitoring programs overall longitudinal data precision; the individuals rate of decline in FEV1; the individuals variability in FEV1; and potential interventions. The new methodology and computer software should offer an accurate and practical interpretation for individual longitudinal spirometry results in lung function monitoring programs.
Spirometry; Lung-function; Statistical-analysis; Monitoring-systems; Computer-software; Surveillance
Abstract; Conference/Symposia Proceedings
Issue of Publication
Disease and Injury: Asthma and Chronic Obstructive Pulmonary Disease; Construction
Proceedings of the American Thoracic Society