Suppr超能文献

儿童和青少年多系统炎症综合征(MIS-C)的流行病学、临床特征及转归——一项实时系统评价与Meta分析

Epidemiology, Clinical Features, and Outcomes of Multisystem Inflammatory Syndrome in Children (MIS-C) and Adolescents-a Live Systematic Review and Meta-analysis.

作者信息

Jiang Li, Tang Kun, Irfan Omar, Li Xuan, Zhang Enyao, Bhutta Zulfiqar

机构信息

Centre for Global Child Health, Hospital for Sick Children, Toronto, Canada.

Vanke School of Public Health, Tsinghua University, Beijing, China.

出版信息

Curr Pediatr Rep. 2022;10(2):19-30. doi: 10.1007/s40124-022-00264-1. Epub 2022 May 6.

Abstract

PURPOSE OF REVIEW

A multisystem inflammatory condition occurring in children and adolescents with COVID-19 has become increasingly recognized and widely studied globally. This review aims to investigate and synthesize evolving evidence on its clinical characteristics, management, and outcomes in pediatric patients.

RECENT FINDINGS

We retrieved data from PubMed, EMBASE, Cochrane Library, WHO COVID-19 Database, Google Scholar, and preprint databases, covering a timeline from December 1, 2019, to July 31, 2021. A total of 123 eligible studies were included in the final descriptive and risk factor analyses. We comprehensively reviewed reported multisystem inflammatory syndrome in children (MIS-C) cases from published and preprint studies of various designs to provide an updated evidence on epidemiology, clinical, laboratory and imaging findings, management, and short-term outcomes. Latest evidence suggests that African black and non-Hispanic white are the two most common ethnic groups, constituting 24.89% (95% CI 23.30-26.48%) and 25.18% (95% CI 23.51-26.85%) of the MIS-C population, respectively. Typical symptoms of MIS-C include fever (90.85%, 95% CI 89.86-91.84%), not-specified gastrointestinal symptoms (51.98%, 95% CI 50.13-53.83%), rash (49.63%, 95% CI 47.80-51.47%), abdominal pain (48.97%, 95% CI 47.09-50.85%), conjunctivitis (46.93%, 95% CI 45.17-48.69%), vomiting (43.79%, 95% CI 41.90-45.68%), respiratory symptoms (41.75%, 95% CI 40.01-43.49%), and diarrhea (40.10%, 95% CI 38.23-41.97%). MIS-C patients are less likely to develop conjunctivitis (OR 0.27, 95% CI 0.11-0.67), cervical adenopathy (OR 0.21, 95% CI 0.07-0.68), and rash (OR 0.44, 95% CI 0.26-0.77), in comparison with Kawasaki disease patients. Our review revealed that the majority of MIS-C cases (95.21%) to be full recovered while only 2.41% died from this syndrome. We found significant disparity between low- and middle-income countries and high-income countries in terms of clinical outcomes.

SUMMARY

MIS-C, which appears to be linked to COVID-19, may cause severe inflammation in organs and tissues. Although there is emerging new evidence about the characteristics of this syndrome, its risk factors, and clinical prognosis, much remains unknown about the causality, the optimal prevention and treatment interventions, and long-term outcomes of the MIS-C patients.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s40124-022-00264-1.

摘要

综述目的

一种发生于感染新冠病毒的儿童和青少年中的多系统炎症性疾病已在全球范围内得到越来越多的认识和广泛研究。本综述旨在调查和综合有关其在儿科患者中的临床特征、管理和结局的不断演变的证据。

最新发现

我们从PubMed、EMBASE、Cochrane图书馆、世界卫生组织新冠病毒数据库、谷歌学术和预印本数据库中检索数据,涵盖2019年12月1日至2021年7月31日的时间段。共有123项符合条件的研究纳入最终的描述性和危险因素分析。我们全面回顾了各种设计的已发表和预印本研究中报告的儿童多系统炎症综合征(MIS-C)病例,以提供关于流行病学、临床、实验室和影像学发现、管理及短期结局的最新证据。最新证据表明非洲黑人及非西班牙裔白人是两个最常见的种族群体,分别占MIS-C人群的24.89%(95%置信区间23.30 - 26.48%)和25.18%(95%置信区间23.51 - 26.85%)。MIS-C的典型症状包括发热(90.85%,95%置信区间89.86 - 91.84%)、未明确的胃肠道症状(51.98%,95%置信区间50.13 - 53.83%)、皮疹(49.63%,95%置信区间47.80 - 51.47%)、腹痛(48.97%,95%置信区间47.09 - 50.85%)、结膜炎(46.93%,95%置信区间45.17 - 48.69%)、呕吐(43.79%,95%置信区间41.90 - 45.68%)、呼吸道症状(41.75%,95%置信区间40.01 - 43.49%)和腹泻(40.10%,95%置信区间38.23 - 41.97%)。与川崎病患者相比,MIS-C患者发生结膜炎(比值比0.27,95%置信区间0.11 - 0.67)、颈部淋巴结病(比值比0.21,95%置信区间0.07 - 0.68)和皮疹(比值比0.44,95%置信区间0.26 - 0.77)的可能性较小。我们的综述显示,大多数MIS-C病例(95.21%)完全康复,而仅有2.41%死于该综合征。我们发现低收入和中等收入国家与高收入国家在临床结局方面存在显著差异。

总结

似乎与新冠病毒相关的MIS-C可能导致器官和组织的严重炎症。尽管关于该综合征的特征、危险因素和临床预后有新出现的证据,但关于MIS-C患者的因果关系、最佳预防和治疗干预措施以及长期结局仍有许多未知之处。

补充信息

在线版本包含可在10.1007/s40124-022-00264-1获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/260d/9072767/0f3cc66875d9/40124_2022_264_Fig1_HTML.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