4.7 Article

Serum Surfactant Protein-A Is a Strong Predictor of Early Mortality in Idiopathic Pulmonary Fibrosis

Journal

CHEST
Volume 135, Issue 6, Pages 1557-1563

Publisher

ELSEVIER
DOI: 10.1378/chest.08-2209

Keywords

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Funding

  1. National Institutes of Health [T32]
  2. Clinical Research Loan Repayment
  3. National Heart, Lung, and Blood Institute Specialized Center of Research (SCOR) [HL-27353, HL-67671]
  4. University of Cincinnati

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Background: Serum surfactant protein (SP) A and SP-D had prognostic value for mortality in patients with idiopathic pulmonary fibrosis (IPF) in prior studies before the reclassification of the idiopathic interstitial pneumonias. We hypothesized that baseline serum SP-A and SP-D concentrations would be independently, associated with mortality all-long patients with biopsy-proven IPF and would improve a prediction model for mortality. Methods: We evaluated the association between serum SP-A and SP-D concentrations and mortality in 82 patients with surgical lung biopsy-proven IPF. Regression models with clinical predictors alone and clinical and biomarker predictors were used to predict mortality at 1 year. Results: After controlling for known clinical predictors of mortality, we found that each increase of 49 ng/mL (1 SD) in baseline SP-A level was associated with a 3.3-fold increased risk of mortality, (adjusted hazard ratio, 3.27; 95% confidence interval, 1.49 to 7.17; adjusted p = 0.003) in the first year after presentation. We did not observe a statistically significant association between serum SP-D and mortality (adjusted hazard ratio, 2.04; p = 0.053). Regression models demonstrated a significant improvement in the 1-year mortality prediction model when serum SP-A and SP-D (area under the receiving operator curve [AROC], 0.89), were added to the clinical predictors alone (AROC, 0.79; p = 0.03). Conclusions: Increased serum SP-A level is a strong and independent predictor of early mortality among patients with IPF. A prediction model containing SP-A and SP-D was substantially superior to a model with clinical predictors alone. (CHEST 2009; 135:1557-1563)

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