title: Novel regression equations predicting lung age from varied spirometric parameters.
abstract: Although lung age calculated backward from regression formulas constructed for FEV(1) estimation is widely used, it possesses a couple of faults. We developed novel equations predicting lung age from varied spirometric parameters (spirometry-derived lung age (SDL-age)). Applying multiple regression analysis, equations predicting SDL-age were invented using data from 8015 never-smokers with normal spirometry (group I). Validation was made based on data from 6398 never-smokers with normal spirometry (group II). Equations were further applied for 446 subjects with airflow limitation. FEV(1), FEV(1)/FVC, FEF(50), and PEF were selected as explanatory variables for reference value of SDL-age. Normal limits of difference between SDL-age and chronological-age were ± 13.4 years in the male and ± 15.0 years in the female. Established equations predicted SDL-age of group II. SDL-age was older than chronological-age only in subjects with severe airflow limitation. Novel regression equations allowing prediction of reference value of SDL-age and normal limits of difference between SDL-age and chronological-age were elaborated in both genders.
authors: Comprehensive and Internal Medicine, Tokyo Women's Medical University Medical Center East, Station Port Tower 4F, Nishi-Nippori, Arakawa-ku, Tokyo 116-0013, Japan. yamaguc@sirius.ocn.ne.jp
authors: Kazuhiro
authors: K
authors: Yamaguchi
authors: Hisamitsu
authors: H
authors: Omori
authors: Ayumi
authors: A
authors: Onoue
authors: Takahiko
authors: T
authors: Katoh
authors: Yasuhiro
authors: Y
authors: Ogata
authors: Hidetoshi
authors: H
authors: Kawashima
authors: Shigemitsu
authors: S
authors: Onizawa
authors: Takao
authors: T
authors: Tsuji
authors: Kazutetsu
authors: K
authors: Aoshiba
authors: Atsushi
authors: A
authors: Nagai
mesh_terms: D000328:Adult; D000368:Aged; D000375:Aging / Q000502:physiology*; D005260:Female; D006801:Humans; D008168:Lung / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D012044:Regression Analysis; D012907:Smoking; D013147:Spirometry / Q000706:statistics & numerical data