Advertisement

Cluster analysis for clinical sarcoidosis’ phenotyping

      Highlights

      • Phenotyping sarcoidosis patients is important for clarifying prognosis and therapeutic approaches.
      • Biological markers, genotypes and clinical features will play a key role in the assessment of sarcoidosis.
      • Clustering sarcoidosis patients on the basis of biological indicators could identify specific phenotypes that are more indicative of prognosis, severity and treatment response.
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to European Journal of Internal Medicine
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Rubio-Rivas M.
        • Corbella X.
        Clinical phenotypes and prediction of chronicity in sarcoidosis using cluster analysis in a prospective cohort of 694 patients.
        Eur J Intern Med. 2020; (Apr 21)https://doi.org/10.1016/j.ejim.2020.04.024
        • Muller-Quernheim J.
        • Schurmann M.
        • Hofmann S.
        • Gaede K.I.
        • Fischer A.
        • Prasse A.
        • et al.
        Genetics of sarcoidosis.
        Clin Chest Med. 2008; 29 (Sepviii): 391-414https://doi.org/10.1016/j.ccm.2008.03.007
        • Kreider M.E.
        • Christie J.D.
        • Thompson B.
        • Newman L.
        • Rose C.
        • Barnard J.
        • et al.
        Relationship of environmental exposures to the clinical phenotype of sarcoidosis.
        Chest. 2005; 128 (Jul): 207-215https://doi.org/10.1378/chest.128.1.207
        • Baughman R.P.
        • Judson M.A.
        • Teirstein A.
        • Yeager H.
        • Rossman M.
        • Knatterud G.L.
        • et al.
        Presenting characteristics as predictors of duration of treatment in sarcoidosis.
        QJM. 2006; 99 (May): 307-315https://doi.org/10.1093/qjmed/hcl038
        • Keijsers R.G.
        • Verzijlbergen E.J.
        • van den Bosch J.M.
        • Zanen P.
        • van de Garde E.M.
        • Oyen W.J.
        • et al.
        18F-FDG PET as a predictor of pulmonary function in sarcoidosis.
        Sarcoidosis Vasc Diffuse Lung Dis. 2011; 28 (Oct): 123-129
        • Walsh S.L.
        • Wells A.U.
        • Sverzellati N.
        • Keir G.J.
        • Calandriello L.
        • Antoniou K.M.
        • et al.
        An integrated clinicoradiological staging system for pulmonary sarcoidosis: a case-cohort study.
        Lancet Respir Med. 2014; 2 (Feb): 123-130
        • Schupp J.C.
        • Freitag-Wolf S.
        • Bargagli E.
        • Mihailovic-Vucinic V.
        • Rottoli P.
        • Grubanovic A.
        • et al.
        Phenotypes of organ involvement in sarcoidosis.
        Eur Respir J. 2018; 51 (Jan)