Suppr超能文献

符合巨噬细胞活化综合征分类标准的儿童多系统炎症综合征的临床特征

Clinical characteristics of children with MIS-C fulfilling classification criteria for macrophage activation syndrome.

作者信息

Buda Piotr, Strauss Ewa, Januszkiewicz-Lewandowska Danuta, Czerwinska Ewa, Ludwikowska Kamila, Szenborn Leszek, Gowin Ewelina, Okarska-Napierała Magdalena, Kuchar Ernest, Ksia Zyk Janusz

机构信息

Department of Pediatrics, Nutrition and Metabolic Diseases, Children's Memorial Health Institute, Warsaw, Poland.

Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.

出版信息

Front Pediatr. 2022 Sep 15;10:981711. doi: 10.3389/fped.2022.981711. eCollection 2022.

Abstract

BACKGROUND

Macrophage activation syndrome (MAS) is a potentially life-threatening complication of various inflammatory disorders, including multisystem inflammatory syndrome in children (MIS-C). MIS-C refractory to treatment should raise suspicion of MAS, which can be fatal if a definitive diagnosis is delayed. Unfortunately, there is a lack of data on MAS in children with MIS-C.

OBJECTIVE

Our study aims to analyze the risk factors for the development of MAS in MIS-C, its clinical course and response to treatment, and identify predictive factors for pediatric intensive care.

MATERIAL AND METHODS

We analyzed data from the Polish MIS-C registry of the MultiOrgan Inflammatory Syndromes COVID-19 Related Study. Patients were diagnosed according to the WHO MIS-C definition and treated according to national guidelines (Polish Pediatric Society) based on international consensus. MAS definition was based on 2016 Classification Criteria for Macrophage Activation Syndrome Complicating Systemic Juvenile Idiopathic Arthritis.

RESULTS

Two-hundred and seventy four children met the study inclusion criteria. Fifty-nine patients fulfilled MAS classification criteria, nine of which required admission to the pediatric intensive care unit (PICU). MIS-C patients with MAS were significantly older than patients without MAS (median 11.2 vs. 8.1 years). Multivariable analysis showed that age, symptoms characteristic of atypical Kawasaki disease, and skin erosions were significant factors associated with MAS in MIS-C patients. Analysis of laboratory parameters showed that on admission, MIS-C patients with MAS had significantly lower median lymphocyte and platelet counts, albumin and sodium levels, and higher median levels of C-reactive protein, procalcitonin, ferritin, D-dimers, triglycerides, serum creatinine, urea, and γ-glutamyl transpeptidase, and neutrophil count. Multivariate analysis showed that higher procalcitonin, ferritin, and fibrinogen levels at admission were predictive of MAS. Only elevated troponin level was a factor indicating a requirement of PICU hospitalization for children with MAS. MIS-C patients fulfilling MAS criteria were treated more often with intravenous immunoglobulins and steroids than children without MAS. Children with MAS more often required mechanical ventilation. None of the patients required biological agents.

CONCLUSIONS

The clinical course of MAS in MIS-C seems milder, treatment less aggressive, and the prognosis better than expected based on the current knowledge on MAS complicating other rheumatological diseases.

摘要

背景

巨噬细胞活化综合征(MAS)是包括儿童多系统炎症综合征(MIS-C)在内的各种炎症性疾病的一种潜在危及生命的并发症。对治疗难治的MIS-C应怀疑MAS,如果确诊延迟,MAS可能是致命的。不幸的是,关于MIS-C患儿MAS的数据匮乏。

目的

我们的研究旨在分析MIS-C中MAS发生的危险因素、其临床病程及对治疗的反应,并确定儿科重症监护的预测因素。

材料与方法

我们分析了来自多器官炎症综合征COVID-19相关研究的波兰MIS-C登记处的数据。患者根据世界卫生组织MIS-C定义进行诊断,并根据基于国际共识的国家指南(波兰儿科学会)进行治疗。MAS定义基于2016年系统性幼年特发性关节炎合并巨噬细胞活化综合征的分类标准。

结果

274名儿童符合研究纳入标准。59名患者符合MAS分类标准,其中9名需要入住儿科重症监护病房(PICU)。患有MAS的MIS-C患者明显比未患MAS的患者年龄大(中位数分别为11.2岁和8.1岁)。多变量分析显示,年龄、非典型川崎病的症状特征和皮肤糜烂是与MIS-C患者MAS相关的显著因素。实验室参数分析显示,入院时,患有MAS的MIS-C患者的淋巴细胞和血小板计数中位数、白蛋白和钠水平显著较低,而C反应蛋白、降钙素原、铁蛋白、D-二聚体、甘油三酯、血清肌酐、尿素和γ-谷氨酰转肽酶以及中性粒细胞计数的中位数较高。多变量分析显示,入院时较高的降钙素原、铁蛋白和纤维蛋白原水平可预测MAS。只有肌钙蛋白水平升高是MAS患儿需要入住PICU的一个因素。符合MAS标准的MIS-C患者比未患MAS的儿童更常接受静脉注射免疫球蛋白和类固醇治疗。患有MAS的儿童更常需要机械通气。所有患者均不需要生物制剂。

结论

基于目前对合并其他风湿性疾病的MAS的认识,MIS-C中MAS的临床病程似乎更轻,治疗更不激进,预后也比预期更好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e80/9520614/d78936425c46/fped-10-981711-g0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验