BACKGROUND: To determine the usefulness of Ca 15.3 as a candidate biomarker in systemic sclerosis (SSc) patients with interstitial lung disease (ILD). METHODS: Two-hundred-twenty-one SSc patients with Ca 15.3 determinations were considered; 168 had evidence of interstitial lung involvement on high-resolution computed tomography (HRCT); digitalized scans were available for scoring in 84 subjects. Discrimination between patients with or without ILD, was assessed by receiving operating characteristics (ROC) analysis; correlations between HRCT scores and Ca 15.3 were performed. Survival and serial pulmonary function tasting (PFT) data were used for prognostication. RESULTS: Ca 15.3 serum levels strongly correlated with HRCT scores (r=0.734, p<0.0001) which were predictors of survival at the 20% threshold (p=3.1∗10(-4)). Ca 15.3 had an area under ROC to detect the meaningful 20% fibrosis extent equal to 0.927 and abnormal Ca 15.3 values were capable of differentiating between patients at hi- or low-risk for progression in the group with undetermined disease extent (HR=3.209, confidence interval [CI95]=1.56-6.602, p=0.002). Ca 15.3 outperformed other PFT measures in providing a separation of survival estimates where HRCT scans are unavailable. The combined use of HRCT scores and Ca 15.3 in SSc-ILD patients was more discriminatory (HR=4.824, CI95=2.612-8.912, p<0.0001) than the staging system based on HRCT scores plus FVC (HR=2.657, CI95=1.703-4.147, p<0.0001) and characterized by lower prediction errors (0.2134 vs 0.2234). CONCLUSION: Ca 15.3 is a rapid and inexpensive candidate biomarker for SSc-ILD being proportional to the extent of lung injury and specific and sensitive in assessing meaningful extents of the disease with prognostic significance.
BACKGROUND: To determine the usefulness of Ca 15.3 as a candidate biomarker in systemic sclerosis (SSc) patients with interstitial lung disease (ILD). METHODS: Two-hundred-twenty-one SSc patients with Ca 15.3 determinations were considered; 168 had evidence of interstitial lung involvement on high-resolution computed tomography (HRCT); digitalized scans were available for scoring in 84 subjects. Discrimination between patients with or without ILD, was assessed by receiving operating characteristics (ROC) analysis; correlations between HRCT scores and Ca 15.3 were performed. Survival and serial pulmonary function tasting (PFT) data were used for prognostication. RESULTS: Ca 15.3 serum levels strongly correlated with HRCT scores (r=0.734, p<0.0001) which were predictors of survival at the 20% threshold (p=3.1∗10(-4)). Ca 15.3 had an area under ROC to detect the meaningful 20% fibrosis extent equal to 0.927 and abnormal Ca 15.3 values were capable of differentiating between patients at hi- or low-risk for progression in the group with undetermined disease extent (HR=3.209, confidence interval [CI95]=1.56-6.602, p=0.002). Ca 15.3 outperformed other PFT measures in providing a separation of survival estimates where HRCT scans are unavailable. The combined use of HRCT scores and Ca 15.3 in SSc-ILDpatients was more discriminatory (HR=4.824, CI95=2.612-8.912, p<0.0001) than the staging system based on HRCT scores plus FVC (HR=2.657, CI95=1.703-4.147, p<0.0001) and characterized by lower prediction errors (0.2134 vs 0.2234). CONCLUSION: Ca 15.3 is a rapid and inexpensive candidate biomarker for SSc-ILD being proportional to the extent of lung injury and specific and sensitive in assessing meaningful extents of the disease with prognostic significance.
Authors: Chiara Bellocchi; Jun Ying; Ellen A Goldmuntz; Lynette Keyes-Elstein; John Varga; Monique E Hinchcliff; Marka A Lyons; Peter McSweeney; Daniel E Furst; Richard Nash; Leslie J Crofford; Beverly Welch; Jonathan G Goldin; Ashley Pinckney; Maureen D Mayes; Keith M Sullivan; Shervin Assassi Journal: Arthritis Rheumatol Date: 2021-02-28 Impact factor: 10.995
Authors: José Antonio Ros-Lucas; Domingo Andrés Pascual-Figal; José Antonio Noguera-Velasco; Álvaro Hernández-Vicente; Iria Cebreiros-López; María Arnaldos-Carrillo; Isabel M Martínez-Ardil; Elisa García-Vázquez; Mario Aparicio-Vicente; Elena Solana-Martínez; Sheyla Yolany Ruiz-Martínez; Laura Fernández-Mula; Rubén Andujar-Espinosa; Beatriz Fernández-Suarez; Maria Dolores Sánchez-Caro; Carlos Peñalver-Mellado; Francisco José Ruiz-López Journal: Sci Rep Date: 2022-04-25 Impact factor: 4.996