Autoinflammatory & rare systemic diseases

Clinical phenotypes of sarcoidosis using cluster analysis: a Spanish population-based cohort study

Clin Exp RheumatolPublished Retrospective cohort study

Authors' conclusion

Five phenotypes with different clinical and prognostic characteristics are proposed in our study.

Study context

Population
Sarcoidosis patients diagnosed and followed up 1999–2019 in a tertiary hospital in Northern Spain
Participants
342 patients
Exposure
Five clinical clusters of sarcoidosis
Outcome
Identification of clinical phenotypes by cluster analysis
Methodological detailsmodel-based cluster analysis on 19 clinical variables, single-centre (tertiary hospital)
  • Model-based cluster analysis on 19 clinical variables
  • Single-centre (tertiary hospital)

Main finding

As reported in the abstract

OutcomeValues
ValuesC1 16.1% · lung involvement 100% · C2 14.3% · lung involvement 55.1% · extrapulmonary involvement 96.4% · C3 24.3% · extrapulmonary involvement 98.0% · C4 5.0% · lung involvement 100% · C5 40.4%

Observational data: associations, not effects.

Further findings

OutcomeValues
FEV1 percent predictedC1 102.0 ± 22.9 % predicted · C3 102.3 ± 17.6 % predicted · C4 105.8 ± 20.8 % predicted · C5 90.5 ± 21.8 % predicted
FVC percent predictedC3 108.1 ± 18.0 % predicted · C4 111.5 ± 21.7 % predicted · C5 96.6 ± 18.9 % predicted
Chronicity rateC1 9.1% · C3 31.3% · C4 0% · C5 32.6%

FEV1 percent predicted

Significantly lower FEV1 % predicted in C5 vs C1, C3 and C4

FVC percent predicted

C5 had lower FVC % predicted than others (others ranging from C3 to C4 values)

Chronicity rate

Wasfi severity score also higher in C3 and C5 than C1 and C4

Systemic GC and non-corticosteroid immunosuppressant prescription

Higher in clusters 1, 3 and 5

Original publication

Clinical phenotypes of sarcoidosis using cluster analysis: a Spanish population-based cohort study. Clin Exp Rheumatol. Published 10 January 2024. doi:10.55563/clinexprheumatol/q2idtc

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