Spirometry Predictive Equations: NHANES III vs. GLI 12
Author's Note: The following is an excerpt from the "Spirometry Predictive Equations: NHANES III vs. GLI 12 Report" compiled by myself, Dr. Wes Sublett, and Dr. Todd Rowland. To access the complete guide to understanding these standards and how to decide which is most appropriate for your patients, please follow this link.
The National Health and Nutrition Examination Survey (NHANES) III and the ERS Global Lung Initiative 2012 (GLI 12) predictive equations for spirometry are both based on regression equations that use demographic and physiological factors (such as height, age, and sex) to predict forced expiratory volume in one second (FEV1). For most patients, there is general agreement between NHANES III and GLI 12 spirometry prediction equations .
Based on data obtained using equipment and techniques that met or exceeded the ATS guidelines, NHANES III included 7429 subjects aged 8-80 years old . Notably, the NHANES III polynomial model development used age and height as predictors for three specific US-based populations: Caucasian, African-American, and Mexican-American . While the ATS/ERS task force does recommend extrapolating the NHANES III prediction equations for patients older than 80 years, it is common in clinical practice [2,4].
The GLI task force developed spirometric reference equations for ages 3–95 years using the generalized additive models for location, scale, and shape approach, resulting in the GLI 12 prediction equations [5-8]. The supporting data were collected in a number of international studies (73 centers globally), including NHANES III data, and are intended to be applied globally . There were 74,187 subjects aged 2.5-95 years included in the GLI 12 spirometric prediction equations, and they were developed for four specific populations: Caucasian, Black, North-East Asian and South-East Asian . The GLI 12 predictive equations are endorsed by a number of respiratory societies around the world.
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