An epidemiological study of multisystem inflammatory syndrome in children (MIS-C) and young adults among COVID-19-positive patients – data from National Inpatient Sample database

Author:

Aggarwal Shruti,Dhaliwal Jasninder SinghORCID,Kumar NomeshORCID,Sakthivel Hemamalini,Ahmed RaheelORCID,Verma Renuka,Ramphul KamleshunORCID

Abstract

During the pandemic of COVID-19, a novel atypical set of clinical findings was seen among several children with recent or current exposure to the virus. It was termed the “multisystem inflammatory syndrome in children” (MIS-C). Our study used the 2021 National Inpatient Sample to study the associations of sex, race, and age with the incidence of MIS-C among COVID-19-positive children. Out of 69,440 COVID-19-positive children, 2,790 (4.0%) reported MIS-C. The incidence of MIS-C was highest among those aged 8 years old (17,130 MIS-C cases per 100,000 COVID-19 patients), Asian or Pacific Islanders (API) (5,346 MIS-C per 100,000 COVID-19 cases), and males (4,734 cases per 100,000 COVID-19 cases). Furthermore, 7.9% of MIS-C cases met the classification of Kawasaki disease.

Publisher

Termedia Sp. z.o.o.

Reference11 articles.

1. Defining Kawasaki disease and pediatric inflammatory multisystem syndrome-temporally associated to SARS-CoV-2 infection during SARS-CoV-2 epidemic in Italy: results from a national, multicenter survey

2. An outbreak of severe Kawasaki-like disease at the Italian epicentre of the SARS-CoV-2 epidemic: an observational cohort study

3. Multi-Inflammatory Syndrome in Children (MIS-C) in 2023: Is It Time to Forget about It?

4. Trend weights for HCUP NIS data. Available at: https://hcup-us.ahrq.gov/db/nation/nis/trendwghts.jsp.

5. HCUP National Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). 2021. Agency for Healthcare Research and Quality, Rockville, MD. Available at: www.hcup-us.ahrq. gov/nisoverview.jsp.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3