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New prognostic scoring system for mortality in idiopathic pulmonary fibrosis by modifying the gender, age, and physiology model with desaturation during the six-minute walk testopen access

Authors
Lee, Jae HaJang, Ji HoonJang, Hang-JeaKim, Song YeeChung, Man PyoYoo, HongseokJeong, Sung HwanSong, Jin WooLee, Hong LyeolChoi, Sun MiKim, Young WhanKim, Yong HyunPark, Sung WooPark, Jong SunJegal, YanginLee, JongminUh, Soo-TaekKim, Tae-HyungKim, Yee HyungShin, BeomsuLee, Hyun-kyungYang, Sei-HoonLee, HyunKim, Sang-HeonLee, Eun-JooChoi, Hye SookKang, Hyung KooHeo, Eun YoungLee, Won-YeonPark, Moo Suk
Issue Date
Jan-2023
Publisher
Frontiers Media S.A.
Keywords
idiopathic pulmonary fibrosis; interstitial lung disease; mortality; prognosis; six-minute walk test
Citation
Frontiers in Medicine, v.10
Journal Title
Frontiers in Medicine
Volume
10
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/22400
DOI
10.3389/fmed.2023.1052129
ISSN
2296-858X
2296-858X
Abstract
BackgroundIdiopathic pulmonary fibrosis (IPF) is a progressive fibrosing interstitial lung disease (ILD) with variable and heterogeneous clinical course. The GAP (gender, age, and physiology) model had been used to predict mortality in patients with IPF, but does not contain exercise capacity. Therefore, our aim in this study was to develop new prognostic scoring system in the Korea IPF Cohort (KICO) registry. Materials and methodsThis is a retrospective study of Korean patients with IPF in KICO registry from June 2016 to August 2021. We developed new scoring system (the GAP6) based on the GAP model adding nadir saturation of percutaneous oxygen (SpO(2)) during six-minute walk test (6MWT) in the KICO registry and compared the efficacy of the GAP and the GAP6 model. ResultsAmong 2,412 patients in KICO registry, 966 patients were enrolled. The GAP6 model showed significant prognostic value for mortality between each stage [HR Stage II vs. Stage I = 2.89 (95% CI = 2.38-3.51), HR Stage III vs. Stage II = 2.68 (95% CI = 1.60-4.51)]. In comparison the model performance with area under curve (AUC) using receiver operating characteristic (ROC) curve analysis, the GAP6 model showed a significant improvement for predicting mortality than the GAP model (AUC the GAP vs. the GAP6, 0.646 vs. 0.671, p < 0.0019). Also, the C-index values slightly improved from 0.674 to 0.691 for mortality. ConclusionThe GAP6 model adding nadir SpO(2) during 6WMT for an indicator of functional capacity improves prediction ability with C-index and AUC. Additional multinational study is needed to confirm these finding and validate the applicability and accuracy of this risk assessment system.
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