Characteristics of COVID-19 in children and potential risk factors for requiring mechanical ventilation; an analysis of 22,490 cases from the United States

Author:

Verma RenukaORCID,Ramphul Kamleshun,Lohana PetrasORCID,Sombans ShaheenORCID,Ramphul YogeshwareeORCID,Pekyi-Boateng Prince KwablaORCID

Abstract

AbstractThe pandemic of Coronavirus disease 2019 (COVID-19) has lasted more than two years and caused millions of deaths. While the characteristics and outcomes have been more widely studied in the adult population, we conducted an in-depth analysis via the 2020 National Inpatient Sample to understand the characteristics and predictors for the use of mechanical ventilation in patients of ages 18 and less in the United States. Twenty-two thousand four hundred ninety hospitalizations involving COVID-19-positive children were found. 52.7% (11850 cases) were females, 37.0% were Hispanics, 38.0% (8555 cases) were in the first percentile 0-25th of Median household income, and 66.9% used Medicaid. In total, 1140 cases (5.1%) needed mechanical ventilation. Among factors such as obesity (aOR 1.662, 95%CI 1.368-2.019, p<0.001), Blacks (vs. White) (aOR 1.472, 95%CI 1.23-1.761, p<0.001), private insurances (aOR 1.241, 95%CI 1.06-1.453, p=0.007) or remaining forms of payment other than Medicaid or private insurances (aOR 1.763, 95%CI 1.428-2.177, p<0.001, vs. Medicaid), ages 6 to 10 years (aOR 1.531, 95%CI 1.259-1.862, p<0.001, vs. ages 0-5) showed higher odds of needing mechanical ventilation. On the contrary, Females (aOR 0.54, 95%CI 0.472-0.617, p<0.001, vs. Males), hospitalized patients in November (aOR 0.542, 95%CI 0.399-0.736, p<0.001) and December (aOR 0.446, 95%CI 0.329-0.606, p<0.001) (vs. April), Hispanics (aOR 0.832, 95%CI 0.699-0.99, p=0.038, vs. White), ages 16-18 years (aOR 0.804, 95%CI 0.673-0.96, p=0.016, vs. 0-5years), and in the 76th-100thmedian household income percentile (aOR 0.783, 95%CI 0.628-0.976, p=0.03, vs. 0-25th percentile) showed reduced odds. 9.6% of patients on mechanical ventilation died.

Publisher

Cold Spring Harbor Laboratory

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