biostudies-literatureMorisset JNational Center for Advancing Translational SciencesNCATS NIH HHSNina Ireland Program for Lung Health51-56https://www.ebi.ac.uk/biostudies/studies/S-EPMC5506836biostudies-literatureUnknown127<h4>Background</h4>Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) is associated with significant morbidity and mortality. Similarities have been observed between patients with idiopathic pulmonary fibrosis (IPF) and the UIP (usual interstitial pneumonia) form of RA-ILD. The GAP (gender, age, physiology) model has been shown to predict mortality in patients with IPF, but its ability to predict mortality in RA-ILD is not known.<h4>Methods</h4>We identified 309 patients with RA-ILD at 4 academic centers with ongoing longitudinal cohorts of patients with ILD. The primary endpoint was mortality. To handle missing data (n = 219 subjects with complete dataset), multiple imputation by iterative chained equations was used. Using the GAP model as a baseline, we assessed improvemeRespiratory medicineThe performance of the GAP model in patients with rheumatoid arthritis associated interstitial lung disease.PMC5506836KL2 TR000143UCSF-CTI KL2TR000143Jones KDLee BYHu XKing TEGross AJMorisset JTonelli RCerri SManfredi ALee JSKim DSVittinghoff EElicker BMRyu JHLey BWolters PJCollard HRSebastiani MfalseThe performance of the GAP model in patients with rheumatoid arthritis associated interstitial lung disease.<h4>Background</h4>Rheumatoid arthritis-associated interstitial lung disease (RA-ILD) is associated with significant morbidity and mortality. Similarities have been observed between patients with idiopathic pulmonary fibrosis (IPF) and the UIP (usual interstitial pneumonia) form of RA-ILD. The GAP (gender, age, physiology) model has been shown to predict mortality in patients with IPF, but its ability to predict mortality in RA-ILD is not known.<h4>Methods</h4>We identified 309 patients with RA-ILD at 4 academic centers with ongoing longitudinal cohorts of patients with ILD. The primary endpoint was mortality. To handle missing data (n = 219 subjects with complete dataset), multiple imputation by iterative chained equations was used. Using the GAP model as a baseline, we assessed improveme2017-01-01T00:00:00Z2017 Jun2025-04-04T19:28:28.991Z2019-03-26T23:38:52ZS-EPMC55068362850241910.1016/j.rmed.2017.04.012