Author | Lopes, Mariana Carneiro | |
Author | Amadeu, Thaís Porto | |
Author | Ribeiro-Alves, Marcelo | |
Author | Costa, Claudia Henrique da | |
Author | Silva, Bruno Rangel Antunes | |
Author | Rodrigues, Luciana Silva | |
Author | Bessa, Elisabeth Jauhar Cardoso | |
Author | Bruno, Leonardo Palermo | |
Author | Lopes, Agnaldo José | |
Author | Rufino, Rogerio | |
Access date | 2021-01-19T20:07:49Z | |
Available date | 2021-01-19T20:07:49Z | |
Document date | 2020 | |
Citation | LOPES, Mariana Carneiro et al. Defining prognosis in sarcoidosis. Medicine, v. 99, n. 48, p. 1-6, 2020. | pt_BR |
ISSN | 0025-7974 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/45747 | |
Language | eng | pt_BR |
Publisher | Wolters Kluwer Health | pt_BR |
Rights | open access | pt_BR |
Title | Defining prognosis in sarcoidosis | pt_BR |
Type | Article | pt_BR |
DOI | 10.1097/MD.0000000000023100 | |
Abstract | Sarcoidosis is a multi-systemic granulomatous disease. Affected individuals can show spontaneous healing, develop remission with drug treatment within 2 years, or become chronically ill. Our main goal was to identify features that are related to prognosis.The study consisted of 101 patients, recruited at a single center, who were already diagnosed with sarcoidosis at the start of the study or were diagnosed within 48 months. Ninety individuals were followed-up for at least 24 months and were classified according to clinical outcome status (COS 1 to 9). Those with COS 1-4 and COS 5-9 were classified as having favorable and unfavorable outcomes, respectively. Unconditional logistic regression analyses were conducted to define which variables were associated with sarcoidosis outcomes. Subsequently, we established a scoring system to help predict the likelihood of a favorable or unfavorable outcome.Of our patients, 48% developed a chronic form of the disease (COS 5-9). Three clinical features were predictive of prognosis in sarcoidosis. We built a score-based model where the absence of rheumatological markers (1 point), normal pulmonary functions (2 points), and the presence of early respiratory symptoms manifestations (2 points) were associated with a favorable prognosis. We predicted that a patient with a score of 5 had an 86% (95% confidence interval [CI] 74%-98%) probability of having a favorable prognosis, while those with scores of 4, 3, 2, 1, and 0 had probabilities of 72% (95% CI 59-85%), 52% (95% CI 40-63%), 31% (95% CI 17-44%), 15% (95% CI 2-28%), and 7% (95% CI 0-16%) of having a favorable prognosis, respectively. Thus, our easy-to-compute algorithm can help to predict prognosis of sarcoidosis patients, facilitating their management. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Doenças Torácicas. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Patologia e Laboratórios. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Laboratório de Pesquisa Clínica em DST/AIDS. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Doenças Torácicas. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Doenças Torácicas. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Patologia e Laboratórios. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Doenças Torácicas. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Doenças Torácicas. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Doenças Torácicas. Rio de Janeiro, RJ, Brasil. | pt_BR |
Affilliation | Universidade do Estado do Rio de Janeiro. Departamento de Doenças Torácicas. Rio de Janeiro, RJ, Brasil. | pt_BR |
Subject | Prognosis | pt_BR |
Subject | Sarcoidosis | pt_BR |
Subject | Score-based predictive model | pt_BR |