Clinical phenotyping in sarcoidosis using cluster analysis

• Published in: Respiratory research Vol. 23; no. 1; pp. 88 - 11
• Main Authors: Lin, Nancy W., Arbet, Jaron, Mroz, Margaret M., Liao, Shu-Yi, Restrepo, Clara I., Mayer, Annyce S., Li, Li, Barkes, Briana Q., Schrock, Sarah, Hamzeh, Nabeel, Fingerlin, Tasha E., Carlson, Nichole E., Maier, Lisa A.
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 09.04.2022; BioMed Central; BMC
• Subjects: Abnormalities; Biopsy; Cluster Analysis; Clustering; Disease; Disease severity; Genetic aspects; Health aspects; Health services; Humans; Lungs; Patient outcomes; Phenotype; Phenotypes; Phenotyping; Pulmonary; Respiratory function; Retrospective Studies; Sarcoidosis; Sarcoidosis - diagnosis; Sarcoidosis - epidemiology; Sarcoidosis - genetics; Severity of Illness Index; Spirometry; Steroids; Variables; Variance analysis; United States; Cluster analysis; Disease severity; Phenotypes; Sarcoidosis; Pulmonary

Most phenotyping paradigms in sarcoidosis are based on expert opinion; however, no paradigm has been widely adopted because of the subjectivity in classification. We hypothesized that cluster analysis could be performed on common clinical variables to define more objective sarcoidosis phenotypes. We...