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10.1155/2015/424381

http://scihub22266oqcxt.onion/10.1155/2015/424381
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C4430633!4430633!26063955
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suck abstract from ncbi


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pmid26063955      Dis+Markers 2015 ; 2015 (ä): ä
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  • Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease #MMPMID26063955
  • Assari R; Ziaee V; Mirmohammadsadeghi A; Moradinejad MH
  • Dis Markers 2015[]; 2015 (ä): ä PMID26063955show ga
  • 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.
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