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Mariana Carneiro Lopes1, Thaís Porto Amadeu2, Marcelo Ribeiro-Alves3

  • 1Department of Thoracic Disease.

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This study identified key factors predicting sarcoidosis outcomes. An easy-to-compute score using rheumatological markers, pulmonary function, and early respiratory symptoms aids in predicting favorable or unfavorable disease prognosis.

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Area of Science:

  • Pulmonology
  • Rheumatology
  • Immunology

Background:

  • Sarcoidosis is a multi-systemic granulomatous disease with variable clinical courses.
  • Prognosis in sarcoidosis ranges from spontaneous healing to chronic illness.
  • Identifying predictive factors for sarcoidosis outcomes is crucial for patient management.

Purpose of the Study:

  • To identify clinical features associated with sarcoidosis prognosis.
  • To develop a scoring system for predicting favorable or unfavorable outcomes in sarcoidosis patients.

Main Methods:

  • A cohort of 101 sarcoidosis patients was studied.
  • Patients were followed for at least 24 months and classified by clinical outcome status (COS).
  • Logistic regression analysis was used to identify prognostic variables and develop a predictive scoring model.

Main Results:

  • 48% of patients developed a chronic form of sarcoidosis.
  • Absence of rheumatological markers, normal pulmonary function, and early respiratory symptoms predicted a favorable prognosis.
  • A scoring system was developed, with a score of 5 indicating an 86% probability of a favorable prognosis.

Conclusions:

  • A simple, score-based algorithm can predict sarcoidosis prognosis.
  • This tool can assist clinicians in managing sarcoidosis patients by forecasting disease trajectory.
  • Early identification of prognostic indicators facilitates personalized treatment strategies.