The performance of the GAP model in patients with rheumatoid arthritis associated interstitial lung disease. (June 2017)

• Record Type: Journal Article
• Authors: Morisset, Julie; Vittinghoff, Eric; Lee, Bo Young; Tonelli, Roberto; Hu, Xiaowen; Elicker, Brett M.; Ryu, Jay H.; Jones, Kirk D.; Cerri, Stefania; Manfredi, Andreina; Sebastiani, Marco; Gross, Andrew J.; Ley, Brett; Wolters, Paul J.; King, Talmadge E.; Kim, Dong Soon; Collard, Harold R.; Lee, Joyce S.
• Is Part Of: Respiratory medicine. Volume 127(2017)
• Page Start: 51
• Page End: 56
• Publication Date: 2017-06
• Subjects: Rheumatoid arthritis -- Interstitial lung disease -- Prognosis -- Risk assessment; Chest -- Diseases -- Periodicals; Chest -- Diseases -- Great Britain -- Periodicals; Respiratory organs -- Diseases -- Periodicals; Respiratory Tract Diseases -- Periodicals; Appareil respiratoire -- Maladies -- Périodiques; Thorax -- Maladies -- Périodiques; Appareil respiratoire -- Maladies -- Traitement -- Périodiques; Electronic journals; 616.2
• DOI: 10.1016/j.rmed.2017.04.012
• Languages: English
• ISSNs: 0954-6111

Abstract

Abstract: Background: 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. Methods: 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 improvements in mortality risk prediction achieved by incorporating additional variables. Model discrimination was assessed using the c-index, and calibration was checked by comparing observed and expected incidence of death. Results: Patients had a mean age of 65 years and were predominantly female (54%). The mean forced vital capacity (FVC) % predicted was 73 and the mean diffusing capacity for carbon monoxide (DLCO ) % predicted was 55. Twenty-four percent of the 236 patients with a high-resolution computed tomography scan available for review had a definite UIP pattern. The original GAP model, including gender, age, FVC%, and DLCO %, had a c-index of 0.746 in our cohort. Calibration of this model was satisfactory at 1, 2 and 3 years. Model discrimination was not meaningfully improved by adding other clinical variables. Conclusion: The GAP model that was derived for IPF performs similarly as a mortality risk prediction tool in RA-ILD. Highlights: RA-ILD is associated with high morbidity and mortality. The GAP model that was derived for mortality risk prediction in IPF performs similarly in patients with RA-ILD. The addition of other clinical variables did not meaningfully improve the performance of the model.