Identification of active sarcoidosis using chitotriosidase and angiotensin-converting enzyme

dc.creatorLopes, Mariana Carneiro
dc.creatorAmadeu, Thaís Porto
dc.creatorRibeiro-Alves, Marcelo
dc.creatorCosta, Claudia Henrique
dc.creatorRodrigues, Luciana Silva
dc.creatorBessa, Elisabeth Jauhar Cardoso
dc.creatorBruno, Leonardo Palermo
dc.creatorLopes, Agnaldo José
dc.creatorRufino, Rogerio
dc.date2019-04-18T01:02:34Z
dc.date2019-04-18T01:02:34Z
dc.date2019
dc.date.accessioned2023-09-26T23:24:33Z
dc.date.available2023-09-26T23:24:33Z
dc.identifierLOPES, Mariana Carneiro et al. Identification of active sarcoidosis using chitotriosidase and angiotensin-converting enzyme. Lung, p. 1-8, Mar. 2019.
dc.identifier0341-2040
dc.identifierhttps://www.arca.fiocruz.br/handle/icict/32568
dc.identifier10.1007/s00408-019-00219-2
dc.identifier1432-1750
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8890262
dc.descriptionPurpose: Activity/remission differentiation is a great challenge in the follow-up and treatment of sarcoidosis patients. Angiotensin-converting enzyme (ACE) and high sensitivity C-reactive protein (hs-CRP) were proposed as sarcoidosis biomarkers. More recently, chitotriosidase (CHITO) has been described as a better alternative. This study has the aim to evaluate the association of CHITO activity, ACE, hs-CRP or a combination of these biomarkers and to construct a clinical algorithm to differentiate between sarcoidosis activity/remission status. Methods: Forty-six patients with either active sarcoidosis or sarcoidosis in remission and 21 healthy individuals were included. ACE, hs-CRP, and CHITO were evaluated in serum samples. Comparisons of the laboratory variable means among groups were performed by linear models. The cutoff points of the biomarkers for activity/remission differentiation were calculated using the Youden’s index. Biomarker cutoff points and decision tree classifier (DTC) performance were estimated by their leave-one-out cross-validation (LOOCV) accuracy (Acc), sensitivity (Se), and specificity (Sp). Results A 55% mean Se and a 100% mean Sp were found for CHITO, while an 88% Se and a 47% Sp were found for ACE, and a 66% Se and a 68% Sp for hs-CRP cutoff points for activity/remission differentiation. The DTC algorithm with CHITO, hs-CRP, and ACE information had an LOOCV mean Acc of 82%, Se of 78%, and Sp of 89% for sarcoidosis activity/remission differentiation. Conclusions: The algorithm involving CHITO, hs-CRP, and ACE could be a suitable strategy for differentiation between sarcoidosis activity/remission status.
dc.description2020-04-15
dc.formatapplication/pdf
dc.languageeng
dc.publisherSpringer Verlag
dc.rightsopen access
dc.subjectSarcoidosis
dc.subjectActivity
dc.subjectBiomarkers
dc.subjectChitotriosidase
dc.subjectAngiotensin-converting enzyme
dc.titleIdentification of active sarcoidosis using chitotriosidase and angiotensin-converting enzyme
dc.typeArticle


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