https://www.selleckchem.com/products/BIBW2992.html
043; P=0.040; and P=0.011, respectively). Blood eosinophilia showed positive correlations with FeNO (P=0.004) and spirometry variables (FEV₁ [% predicted], P=0.003; FEV₁, P less then 0.001; and FVC, P less then 0.001). An FeNO level of 22.5 ppb was the best cutoff value to predict blood eosinophilia (P=0.00. CONCLUSIONS Blood eosinophil count is a likely biomarker that can predict positive relationship with FeNO values and pulmonary function parameters.BACKGROUND Various factors have been implicated in the pathogenesis of infarction
Like
Comment
Share
