Comparison of CPI and GAP models in patients with idiopathic pulmonary fibrosis: a nationwide cohort study

• Published in: Scientific reports 2018-03, Vol.8 (1), p.4784-8, Article 4784
• Main Authors: Lee, Sang Hoon, Park, Jong Sun, Kim, Song Yee, Kim, Dong Soon, Kim, Young Whan, Chung, Man Pyo, Uh, Soo Taek, Park, Choon Sik, Park, Sung Woo, Jeong, Sung Hwan, Park, Yong Bum, Lee, Hong Lyeol, Shin, Jong Wook, Lee, Eun Joo, Lee, Jin Hwa, Jegal, Yangin, Lee, Hyun Kyung, Kim, Yong Hyun, Song, Jin Woo, Park, Moo Suk
• Format: Article
• Language: English
• Subjects: 692/699/1785; 692/700/1750; Age; Cohort analysis; Fibrosis; Heterogeneity; Humanities and Social Sciences; Lung diseases; multidisciplinary; Pulmonary fibrosis; Respiratory function; Science; Science (multidisciplinary)
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-018-23073-3

The clinical course of idiopathic pulmonary fibrosis (IPF) is difficult to predict, partly owing to its heterogeneity. Composite physiologic index (CPI) and gender-age-physiology (GAP) models are easy-to-use predictors of IPF progression. This study aimed to compare the predictive values of these two models. From 2003 to 2007, the Korean Interstitial Lung Disease (ILD) Study Group surveyed ILD patients using the 2002 ATS/ERS criteria. A total of 832 patients with IPF were enrolled in this study. CPI was calculated as follows: 91.0 − (0.65 × %DL CO ) − [0.53 × %FVC + [0.34 × %FEV 1 . GAP stage was calculated based on gender (0–1 points), age (0–2 points), and two physiologic lung function parameters (0–5 points). The two models had similar significant predictive values for patients with IPF (p