Biomarkers to identify @entity3130 and predict lung function decline in scleroderma lung disease or XXXX .

@entity1 @entity3130 @entity1917 @entity9914 @entity2416 @entity2355
BACKGROUND: @entity3130 and @entity2416 demonstrate significant morbidity and mortality. Predicting disease progression is challenging in both diseases.   OBJECTIVES: We sought a serum biomarker that could identify @entity1 with @entity3130 or @entity2416 and prospectively predict short-term decline in lung function in these @entity1 .   METHODS: 10 healthy controls, 5 SSc w/o @entity3130 , 6 @entity3130 and 13 @entity2416 @entity1 underwent venesection. An array of cytokines including @entity2355 , @entity9914 and @entity1917 were measured.   PFTs were obtained at baseline and six months. Cytokine measurements were correlated with PFTs.   RESULTS: @entity2355 in @entity2416 @entity1 (633ng/ml, IQR 492-1675) was significantly elevated compared to controls (198ng/ml, IQR 52-360, p<0.01) and SSc w/o @entity3130 @entity1 (192ng/ml, IQR 0-524, p<0.05); @entity2355 in @entity3130 @entity1 (836ng/ml, IQR 431-1303) was significantly higher than in controls (p<0.05). @entity9914 was significantly higher in @entity2416 @entity1 (542ng/ml, IQR 305-577) compared to controls (137ng/ml, IQR 97-284, p<0.01) or to SSc w/o @entity3130 @entity1 (169ng/ml, IQR 137-219, p<0.05). In comparison with controls (0.0ng/ml, IQR 0.0-0.6), @entity1917 was significantly higher in both @entity2416 @entity1 (2.85ng/ml, IQR 1.5-3.6, p<0.05) and @entity3130 @entity1 (5.41ng/ml, IQR 2.6-7.2, p<0.001). Using a cut-off level of 459ng/ml for @entity2355 and of 1.28ng/ml for @entity1917 , 18 out of 19 @entity1 with @entity3130 had a serum value of either @entity2355 or @entity1917 above these thresholds. For all @entity3130 patients, baseline serum @entity9914 correlated with   FVC %pred over six months (r=-0.63, p=0.005, 95% CI -0.85 to -0.24).   CONCLUSIONS: Combining @entity2355 with @entity1917 may be a useful screening tool for @entity1 at risk of @entity3130 . @entity9914 may predict short-term decline in lung function.
