权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Pediatric COVID-19 Dashboard and Clinical Phenotypes

儿科 COVID-19 仪表板和临床表型

基本信息

批准号：
10658654
负责人：
Tellen Bennett
金额：
$ 23.76万
依托单位：
UNIVERSITY OF COLORADO DENVER
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-09-01 至 2025-08-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10658654
关键词：
2019-nCoV Acute Address Adult Affect Airway Disease Anxiety COVID-19 COVID-19 impact COVID-19 pandemic COVID-19 pandemic effects COVID-19 severity Cessation of life Child Child health care Childhood Clinical Communities Data Decision Making Disease Education Electronic Health Record Functional disorder Funding Future Health Priorities Health system Heart Hospitals Human body Hypoxemic Respiratory Failure Immune Evasion Immune system Infection Kidney Leadership Life Lung Mental Health Minority Groups Monitor Morbidity - disease rate Multisystem Inflammatory Syndrome in Children Myocardial dysfunction National Center for Advancing Translational Sciences Organ Organ failure Outcome Phenotype Pneumonia Policy Making Public Health Reporting Resistance Resources Respiratory syncytial virus Risk SARS-CoV-2 B.1.1.529 SARS-CoV-2 B.1.617.2 Sepsis Severe Acute Respiratory Syndrome Severities Severity of illness Surface Techniques Testing Thrombosis Time Translations United States United States National Institutes of Health Update Vaccination Vaccines Variant Viral Virulent Work clinical phenotype co-infection cohort computational pipelines computing resources coronavirus disease dashboard experience falls food security global health hospitalization rates indoor exposure kidney dysfunction low socioeconomic status minority children mortality novel pandemic disease physical conditioning school closure social viral transmission

项目摘要

PROJECT SUMMARY/ABSTRACT Pediatric COVID-19 is a major national and global public health problem. SARS-CoV-2 causes two types of severe pediatric disease: acute COVID-19 and multisystem inflammatory syndrome in children (MIS-C). Both acute COVID-19 and MIS-C can cause organ dysfunction and death. Children have typically experienced milder COVID-19 illness severity than adults. However, during pandemic surges caused by the delta and omicron variants of SARS-CoV-2, pediatric health systems struggled to support the needs of their communities and regions. Periods of peak hospital demand were also driven by simultaneous mental health crises, staffing challenges, and off-cycle transmission of viruses that cause disproportionate pediatric impact (e.g., respiratory syncytial virus, RSV). In our prior work, we showed the impact of these surges on children and health systems by surfacing information about the trajectories of pediatric COVID-19 hospitalization rates and severity distributions as well as viral co-infection on a public dashboard and regularly presented these data to federal decision-makers. Novel variants are likely to develop and spread. A more virulent and vaccine-resistant variant could trigger a new surge in cases. Such a surge could again put pediatric health system function at risk and present new pediatric clinical phenotypes of COVID-19. The overall objective of this Supplement is to make information about the trajectories of pediatric COVID-19 hospitalization rates and disease severity and unique pediatric COVID-19 clinical phenotypes readily available for national-level decision-making. We will further develop computational pipelines to analyze the trajectories of pediatric COVID-19 hospitalization rates and disease severity and extend our interactive pediatric COVID-19 severity dashboard for near-real-time tracking of the impact of the SARS-CoV-2 pandemic. To do this, we will leverage the National COVID Cohort Collaborative (N3C), a resource developed with funding from the National Center for Advancing Translational Sciences (NCATS). N3C aggregates electronic health record (EHR) data from more than 70 U.S. centers. In our prior work, we have demonstrated our ability to analyze the granular multicenter EHR data in N3C, leverage state-of-the-art computational resources on the N3C platform, and implement analytic techniques similar to those in this proposal. We will use these rich EHR data in N3C to accomplish the following specific aim: 1A) maintain, extend, and disseminate an interactive pediatric COVID-19 dashboard and 1B) monitor for and report on emergent pediatric COVID-19 clinical phenotypes. We have assembled an investigative team with a successful track record in the field and will work in partnership with NIH leadership to address this national and global health priority. We expect this Supplement to have a powerful and sustained impact on COVID-19 policymaking and the outcomes of affected children by decreasing the likelihood of overwhelmed U.S. pediatric health systems.

项目总结/文摘