Comparison of organ involvement clusters in Black and White American sarcoidosis patients from a prospectively collected patient registry

Respir Med. 2024 May:226:107605. doi: 10.1016/j.rmed.2024.107605. Epub 2024 Mar 26.

Abstract

Background: Due to the heterogeneity of sarcoidosis, there is a need to define clinical phenotypes to allow for tailoring of clinical care and identification of more homogenous populations to facilitate research.

Methods: We utilized data from a prospectively collected registry of sarcoidosis patients seen at a single quaternary referral center between January 2019 and February 2021. We used multiple correspondence analysis (MCA) and k-means clustering to investigate if the clusters previously identified in the GenPhenReSa study were reproducible in a US population. We also investigated if these clusters were stable when the population was stratified by race.

Results: We replicated 3 of the 5 clusters seen in the GenPhenReSa study in our cohort. We likewise identified similar clusters between White and Black patients with sarcoidosis. Differences in organ manifestations associations between White and Black patients were seen primarily in relation to cardiac, neurologic, and ocular involvement.

Conclusions: The organ clusters of liver-spleen, isolated pulmonary, and musculoskeletal-skin were reproducible in a US cohort, and in both Black and White patients.

Keywords: Cluster analysis; Organ involvement; Sarcoidosis.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Black or African American* / statistics & numerical data
  • Cluster Analysis
  • Female
  • Humans
  • Liver / diagnostic imaging
  • Liver / pathology
  • Male
  • Middle Aged
  • Prospective Studies
  • Registries*
  • Sarcoidosis* / epidemiology
  • Sarcoidosis* / ethnology
  • Sarcoidosis* / pathology
  • Skin Diseases / ethnology
  • Skin Diseases / pathology
  • Spleen / pathology
  • United States / epidemiology
  • White
  • White People* / statistics & numerical data