Inflammation Research

, Volume 62, Issue 3, pp 325–332

Use of discriminant analysis in assessing pulmonary function worsening in patients with sarcoidosis by a panel of inflammatory biomarkers


    • Department of Cardiovascular, Respiratory, Nephrologic and Geriatric Sciences‘Sapienza’ University of Rome, S. Camillo-Forlanini Hospital
  • Alvaro Leone
    • Pathology UnitS. Camillo-Forlanini Hospital
  • Sandro Batzella
    • Department of Respiratory DiseasesS. Camillo-Forlanini Hospital
  • Vittoria Conti
    • Eleonora Lorillard Spencer Cenci Foundation‘Sapienza’ University of Rome
  • Francesco Belli
    • Department of Respiratory DiseasesS. Camillo-Forlanini Hospital
  • Laura De Marchis
    • Department of Radiology, Oncology, and Pathology‘Sapienza’ University of Rome
  • Alice Mannocci
    • Department of Public Health and Infectious Diseases‘Sapienza’ University of Rome
  • Giovanni Schmid
    • IRCCS Fondazione Don Carlo Gnocchi-Onlus
  • Claudio Terzano
    • Eleonora Lorillard Spencer Cenci Foundation‘Sapienza’ University of Rome
Original Research Paper

DOI: 10.1007/s00011-012-0585-9

Cite this article as:
Paone, G., Leone, A., Batzella, S. et al. Inflamm. Res. (2013) 62: 325. doi:10.1007/s00011-012-0585-9


Objectives and design

To date, no sufficiently sensitive and specific single marker has been found to predict the clinical course of sarcoidosis. We designed a cohort study to investigate whether a panel of biomarkers measured in bronchoalveolar lavage (BAL) and peripheral blood could help predict pulmonary function worsening during the clinical course of sarcoidosis.


We analyzed 30 individuals with histologically proven sarcoidosis. At baseline, participants underwent pulmonary function tests (PFTs), fiberoptic bronchoscopy and radiological investigations. BAL and blood cellular profiles were obtained from all individuals and six pro-inflammatory molecules were quantified in BAL and serum. PFTs were performed at follow-up visits over a 2-year period. Using discriminant function analysis, a canonical variable was generated to optimize the accuracy of selected variables in predicting pulmonary function worsening and was validated on a subset of nine consecutive individuals with sarcoidosis.


A combination of 6 markers from BAL was able to predict pulmonary function worsening in 96 % of patients [95 % confidence interval (CI) 84.4–99.81]. We validated the generated formula on a group of nine patients with sarcoidosis, obtaining 77.8 % correct classification (95 % CI 45.3–93.7).


Our results show that a combinational approach could contribute to identifying individuals likely to experience pulmonary function worsening, thus helping to decide the correct therapeutic strategies.


BiomarkerDiscriminant analysisDisease severityPulmonary function worseningSarcoidosis

Copyright information

© Springer Basel 2012