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Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease
Purpose. To compare the laboratory data and changes in these data between patients with MAS and patients with flare-up of the autoimmune diseases. Methods. In a prospective study, the static laboratory data and dynamic changes in the selected data in 17 consecutive patients with MAS and 53 patients...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430633/ https://www.ncbi.nlm.nih.gov/pubmed/26063955 http://dx.doi.org/10.1155/2015/424381 |
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author | Assari, Raheleh Ziaee, Vahid Mirmohammadsadeghi, Arash Moradinejad, Mohammad-Hassan |
author_facet | Assari, Raheleh Ziaee, Vahid Mirmohammadsadeghi, Arash Moradinejad, Mohammad-Hassan |
author_sort | Assari, Raheleh |
collection | PubMed |
description | Purpose. To compare the laboratory data and changes in these data between patients with MAS and patients with flare-up of the autoimmune diseases. Methods. In a prospective study, the static laboratory data and dynamic changes in the selected data in 17 consecutive patients with MAS and 53 patients with active disease of SJIA, PJIA, Kawasaki disease, and SLE were compared. The ROC curve analysis was used to evaluate cut-off points, sensitivity, and specificity of the static and dynamic laboratory data to differentiate between MAS and active disease. Results. In the MAS group, the mean CRP3, ALT, AST, total bilirubin, ferritin, LDH, PT, PTT, and INR were significantly higher and the mean WBC2, PMN2, Lymph2, Hgb1, 2, 3, ESR2, serum albumin, and sodium were significantly lower than in control group. Some of the important cut-off points were PLT2 < 209000/microliter, AST > 38.5, ALT > 38, WBC < 8200 × 103/UL, ferritin > 5277 ng/mL. Conclusion. The dynamic changes in some laboratory data, especially PLT, can differentiate between MAS and active disease. The changes in WBC, PMN, and ESR and the levels of the liver enzymes may also be helpful in the early differentiation. Very high levels of ferritin may also help the diagnosis along with other clinical and laboratory signs. |
format | Online Article Text |
id | pubmed-4430633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-44306332015-06-10 Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease Assari, Raheleh Ziaee, Vahid Mirmohammadsadeghi, Arash Moradinejad, Mohammad-Hassan Dis Markers Research Article Purpose. To compare the laboratory data and changes in these data between patients with MAS and patients with flare-up of the autoimmune diseases. Methods. In a prospective study, the static laboratory data and dynamic changes in the selected data in 17 consecutive patients with MAS and 53 patients with active disease of SJIA, PJIA, Kawasaki disease, and SLE were compared. The ROC curve analysis was used to evaluate cut-off points, sensitivity, and specificity of the static and dynamic laboratory data to differentiate between MAS and active disease. Results. In the MAS group, the mean CRP3, ALT, AST, total bilirubin, ferritin, LDH, PT, PTT, and INR were significantly higher and the mean WBC2, PMN2, Lymph2, Hgb1, 2, 3, ESR2, serum albumin, and sodium were significantly lower than in control group. Some of the important cut-off points were PLT2 < 209000/microliter, AST > 38.5, ALT > 38, WBC < 8200 × 103/UL, ferritin > 5277 ng/mL. Conclusion. The dynamic changes in some laboratory data, especially PLT, can differentiate between MAS and active disease. The changes in WBC, PMN, and ESR and the levels of the liver enzymes may also be helpful in the early differentiation. Very high levels of ferritin may also help the diagnosis along with other clinical and laboratory signs. Hindawi Publishing Corporation 2015 2015-04-30 /pmc/articles/PMC4430633/ /pubmed/26063955 http://dx.doi.org/10.1155/2015/424381 Text en Copyright © 2015 Raheleh Assari et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Assari, Raheleh Ziaee, Vahid Mirmohammadsadeghi, Arash Moradinejad, Mohammad-Hassan Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease |
title | Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease |
title_full | Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease |
title_fullStr | Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease |
title_full_unstemmed | Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease |
title_short | Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease |
title_sort | dynamic changes, cut-off points, sensitivity, and specificity of laboratory data to differentiate macrophage activation syndrome from active disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430633/ https://www.ncbi.nlm.nih.gov/pubmed/26063955 http://dx.doi.org/10.1155/2015/424381 |
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