Predictors of in-hospital death in children with myocardial injury related to COVID-19

Author:

Souza Filho César Augusto de OliveiraORCID,Lima Junior EmiltonORCID

Abstract

Introduction: Myocardial injury due to COVID-19 infection is associated with higher mortality rates, higher intensive care unit admissions, and greater levels of inflammatory and cardiac markers. However, given the smaller number of papers regarding pediatric patients, there is still scarce data about mortality predictors in this population. This study aims to identify independent predictors of in-hospital death among pediatric patients hospitalized with myocardial injury related to COVID‐19. Methodology: This is an observational, prospective, and longitudinal study of pediatric patients who were hospitalized between March 2020 and June 2021 in a tertiary pediatric hospital. A total of 1,103 consecutive pediatric patients tested positive for COVID-19, and 232 were admitted. All patients underwent cardiac evaluation with electrocardiogram, echocardiogram, and cardiac markers. Of these patients, 88 were diagnosed with myocardial injury but 1 patient refused to participate, therefore 87 patients were included in the study. Results: The median age at the time of diagnosis was 2 years (0-18), 38% had pre-existing comorbidities, and the mortality was 12% (n = 11). Cardiac evaluation has revealed high levels of troponin I in 63%, and electrocardiogram and echocardiogram abnormalities in 81% and 22% respectively. We found that high levels of inflammatory markers had higher mortality, but they didn’t emerge as significant predictors of mortality when adjusted for other variables. Patients without pre-existing comorbidities were less likely to die in both univariate and multivariate analysis. Conclusions: Our findings may help healthcare providers better understand the cardiac implications of COVID-19 and define the necessity of cardiac surveillance amongst hospitalized pediatric patients.

Publisher

Journal of Infection in Developing Countries

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