Prognostic algorithm for disease flow in pulmonary and thoracic lymph nodes sarcoidosis
Background: Sarcoidosis is a systemic granulomatosis commonly affecting respiratory system. Variable and often unpredictable flow of the disease provides rationale for the development of prognostic algorithm. Aim: To detect predictive parameters in pulmonary and thoracic lymph nodes sarcoidosis; to develop prognostic algorithm. Materials and methods: The results of examination of 113 patients (85 women and 28 men, 19-77 years old) with morphologically verified sarcoidosis has been assessed. Clinical manifestations, functional, radiographic (including CT numerical scores) and morphological features of the disease were analyzed against 3-year outcomes in prednisolon/hydroxychloroquine-treated or treatment-naive patients. Results: Radiographic stage, CT-pattern scores, several parameters of pulmonary function tests (DL co, RV, FEV1, FVC) and dyspnoe had the greatest prognostic significance for disease flow. Prognostic accuracy was 87.8% and increased to 94.5% after one-year dynamics of symptoms was taken into account. Therapy with systemic glu-cocorticosteroids did not influence outcomes in sarcoidosis with asymptomatic enlargement of thoracic lymph nodes. Conclusion: We have developed an algorithm for prognosis assessment in pulmonary sarcoidosis. Taking into account the results of patients follow-up significantly improves the accuracy of the prognosis.