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实验室数据用于区分巨噬细胞活化综合征与活动性疾病的动态变化、截断点、敏感性和特异性

Dynamic Changes, Cut-Off Points, Sensitivity, and Specificity of Laboratory Data to Differentiate Macrophage Activation Syndrome from Active Disease.

作者信息

Assari Raheleh, Ziaee Vahid, Mirmohammadsadeghi Arash, Moradinejad Mohammad-Hassan

机构信息

Children's Medical Center, Pediatrics Center of Excellence, Tehran, Iran.

Pediatric Rheumatology Research Group, Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran ; Department of Pediatrics, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Dis Markers. 2015;2015:424381. doi: 10.1155/2015/424381. Epub 2015 Apr 30.

Abstract

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.

摘要

目的

比较巨噬细胞活化综合征(MAS)患者与自身免疫性疾病 flare-up 患者的实验室数据及这些数据的变化。

方法

在一项前瞻性研究中,比较了 17 例连续的 MAS 患者以及 53 例系统性幼年特发性关节炎(SJIA)、多关节型幼年特发性关节炎(PJIA)、川崎病和系统性红斑狼疮(SLE)活动期疾病患者的静态实验室数据和所选数据的动态变化。采用 ROC 曲线分析来评估静态和动态实验室数据区分 MAS 和活动期疾病的截断点、敏感性和特异性。

结果

MAS 组中,平均 CRP3、谷丙转氨酶(ALT)、谷草转氨酶(AST)、总胆红素、铁蛋白、乳酸脱氢酶(LDH)、凝血酶原时间(PT)、活化部分凝血活酶时间(PTT)和国际标准化比值(INR)显著更高,而平均白细胞计数(WBC2)、中性粒细胞计数(PMN2)、淋巴细胞计数(Lymph2)以及血红蛋白(Hgb1、2、3)、血沉(ESR2)、血清白蛋白和钠显著低于对照组。一些重要的截断点为血小板计数(PLT2)<209000/微升、AST>38.5、ALT>38、白细胞计数(WBC)<8200×10³/微升、铁蛋白>5277 纳克/毫升。

结论

一些实验室数据的动态变化,尤其是血小板计数,可区分 MAS 和活动期疾病。白细胞计数、中性粒细胞计数和血沉的变化以及肝酶水平也可能有助于早期鉴别。极高水平的铁蛋白连同其他临床和实验室指标也可能有助于诊断。

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