OBJECTIVES: The absence of a serological surrogate outcome measure of fibrosis in systemic sclerosis (SSc) is a major deficiency for intervention studies and clinical management. An algorithm including the serum concentration of procollagen-III aminoterminal-propeptide, tissue inhibitor of matrix metalloproteinase-1 and hyaluronic acid, has recently been validated as predictive of severity and clinical outcome in chronic liver diseases (enhanced liver fibrosis (ELF) test) and implemented as a clinical grade test available for physicians. We evaluated the ELF test as a surrogate outcome measure in SSc. METHODS: The ELF score was determined blindly in 210 patients with SSc. Results were correlated with clinical, functional and instrumental variables including disease severity, activity and disability. RESULTS: The ELF test was above normal range in 83% of SSc patients (175/210). The ELF score showed a significant correlation (p<0.0001) with extent of skin involvement (r=0.28), diffusing lung capacity of carbon monoxide (DLCO) (r=-0.32), health assessment questionnaire-disability index (HAQ-DI) (r=0.32), disease severity score (r=0.3) and age (r=0.41). In addition, ELF correlated with disease activity (r=0.23; p=0.02). Using regression analysis, the extent of skin involvement, age, DLCO and gender were independently associated with the ELF score. The ELF score did not correlate with the presence of pulmonary artery hypertension, digital ulcers or any other measure of vasculopathy. CONCLUSIONS: The ELF test is a clinical-grade serum test that significantly correlates with several measures of fibrosis in SSc and with overall disease activity, severity and HAQ-DI. The specific correlation with fibrosis and its face validity, together with the feasibility of the test, warrant its further development as a surrogate outcome measure of fibrosis in SSc.
OBJECTIVES: The absence of a serological surrogate outcome measure of fibrosis in systemic sclerosis (SSc) is a major deficiency for intervention studies and clinical management. An algorithm including the serum concentration of procollagen-III aminoterminal-propeptide, tissue inhibitor of matrix metalloproteinase-1 and hyaluronic acid, has recently been validated as predictive of severity and clinical outcome in chronic liver diseases (enhanced liver fibrosis (ELF) test) and implemented as a clinical grade test available for physicians. We evaluated the ELF test as a surrogate outcome measure in SSc. METHODS: The ELF score was determined blindly in 210 patients with SSc. Results were correlated with clinical, functional and instrumental variables including disease severity, activity and disability. RESULTS: The ELF test was above normal range in 83% of SSc patients (175/210). The ELF score showed a significant correlation (p<0.0001) with extent of skin involvement (r=0.28), diffusing lung capacity of carbon monoxide (DLCO) (r=-0.32), health assessment questionnaire-disability index (HAQ-DI) (r=0.32), disease severity score (r=0.3) and age (r=0.41). In addition, ELF correlated with disease activity (r=0.23; p=0.02). Using regression analysis, the extent of skin involvement, age, DLCO and gender were independently associated with the ELF score. The ELF score did not correlate with the presence of pulmonary artery hypertension, digital ulcers or any other measure of vasculopathy. CONCLUSIONS: The ELF test is a clinical-grade serum test that significantly correlates with several measures of fibrosis in SSc and with overall disease activity, severity and HAQ-DI. The specific correlation with fibrosis and its face validity, together with the feasibility of the test, warrant its further development as a surrogate outcome measure of fibrosis in SSc.
Authors: Emanuel Della-Torre; Eoin Feeney; Vikram Deshpande; Hamid Mattoo; Vinay Mahajan; Maria Kulikova; Zachary S Wallace; Mollie Carruthers; Raymond T Chung; Shiv Pillai; John H Stone Journal: Ann Rheum Dis Date: 2014-08-20 Impact factor: 19.103
Authors: Sophia Swanson; Yifei Ma; Rebecca Scherzer; Greg Huhn; Audrey L French; Michael W Plankey; Carl Grunfeld; William M Rosenberg; Marion G Peters; Phyllis C Tien Journal: J Infect Dis Date: 2015-11-29 Impact factor: 5.226