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Lung India Official publication of Indian Chest Society  
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REVIEW ARTICLE
Year : 2020  |  Volume : 37  |  Issue : 5  |  Page : 425-432

Catch the rainbow: Prognostic factor of sarcoidosis


Department of Internal Medicine and Rheumatology, Wasog Sarcoidosis Clinic, Faculty of Medicine, Liv Hospital, Istinye University, Istanbul, Turkey

Correspondence Address:
Prof. Senol Kobak
Department of Internal Medicine and Rheumatology, Wasog Sarcoidosis Clinic, Faculty of Medicine, Liv Hospital, Istinye University, Canan Sokak No: 5 Ulus, İstanbul
Turkey
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/lungindia.lungindia_380_19

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Sarcoidosis is a systemic, chronic, inflammatory disease characterized by noncaseating granuloma formations. The fact that the etiopathogenesis of the disease has not been elucidated yet brings it many theories and assumptions. Being a systemic disease and ability to involve many organs and systems, it attracts the attention of physicians from different branches. In addition to lung involvement, skin, eye, heart, and locomotor system involvement is an important clinical finding. Sarcoidosis may present with very different clinical presentations, and therefore, it is one of the important “imitators” in the medical literature. I like sarcoidosis as a “rainbow,” it is a disease that contains the characteristics of many diseases. Different clinical, radiological, and laboratory prognostic factors (lupus pernio, chronic uveitis, late-onset disease, chronic hypercalcemia, nephrocalcinosis, Afro-American race, progressive pulmonary sarcoidosis, radiologic Stage 4, bone involvement, neurosarcoidosis, cardiac involvement, and chronic respiratory failure) have been defined in this “rainbow.” Early identification of these factors plays an important role in the determination of treatment strategies, morbidity, and mortality of the disease. In this article, clinical, genetic, laboratory, and radiological factors that determine the prognosis of sarcoidosis are discussed in light of the latest data in the literature.


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