Background: The aim of this present study was to determine serum biomarker levels and their correlation with respiratory function and the clinical course of patients with idiopathic pulmonary fibrosis (IPF).
Materials And Methods: This study included 72 IPF patients, according to the ATS/ERS criteria, in whom antifibrotic treatment was initiated. Blood samples were taken, and serum biomarkers, such as KL-6, SP-D, CCL18, CXCL13, VEGF-A, IL-8, IGFBP-1, IGFBP-2, IGFBP-7 and ICAM-1 were measured using ELISA methodology. Pulmonary function tests (FVC, TLC, DLCO-% pred) were determined at baseline and after 12 and 24 months and analyzed in correlation with the biomarkers.
Results: The majority of patients (mean age 72 ± 6 years) were men (83%). The FVC and DLCO values at the 12-month follow-up were found to be statistically decreased in deceased patients ( < 0.05). The SP-D ( < 0.001) and the IGFBP-1 ( = 0.021) levels were found to be increased at the 1-year follow-up in deceased patients, and similarly, the SP-D ( = 0.005) and ICAM-1 ( = 0.043) levels at the 2-year follow-up. A chi-square test revealed that 70% of the category IV GAP index was found with cut-off elevated levels of a biomarker combination (KL-6, SP-D, VEGF-A) from the ROC curve analysis ( < 0.05).
Conclusion: This study provides evidence, for the first time in a Greek population, of the possibility of using a combination of KL-6, SP-D, and VEGF-A serum levels along with the GAP index.
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| http://dx.doi.org/10.3390/jpm13091307 | DOI Listing |
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Article Synopsis
- The study investigates the role of serum and bronchoalveolar lavage fluid (BALF) markers KL-6, SP-A, and SP-D in predicting the prognosis of chronic fibrosing interstitial pneumonia (CFIP).
- By analyzing 39 patients with CFIP, researchers categorized them into rapidly progressing or slowly progressing groups based on their yearly decline in lung function.
- Results indicated that specific BALF marker levels and ratios were significantly lower in the rapidly progressing group, highlighting their potential utility in diagnosing and predicting disease progression in CFIP patients.
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