Pediatric COVID-19 Dashboard and Clinical Phenotypes

儿科 COVID-19 仪表板和临床表型

• 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
• 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

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.

项目摘要/摘要 小儿Covid-19是一个主要的国家和全球公共卫生问题。 SARS-COV-2导致两种类型 严重的小儿疾病：儿童急性共证于19和多系统炎症综合征（MIS-C）。两个都 急性COVID-19和MIS-C会导致器官功能障碍和死亡。孩子通常经历过 比成年人温和的疾病严重程度更温和。但是，在由三角洲引起的大流行期间 SARS-COV-2，小儿卫生系统的Omicron变体努力支持其社区的需求 和地区。同时的心理健康危机，人员配备，医院需求的高峰期需求周期也驱动 挑战，以及导致小儿撞击不成比例的病毒的周期传播（例如呼吸道 合成病毒，RSV）。在先前的工作中，我们展示了这些潮流对儿童和卫生系统的影响 通过浮出水面有关儿科共vid轨迹199的信息和严重程度 在公共仪表板上分发以及病毒共同感染，并定期将这些数据呈现给联邦 决策者。新颖的变体可能会发展和传播。一种更毒和耐疫苗的变体 可能会引发新的案例激增。这样的激增可能会再次使小儿卫生系统的功能处于风险和 目前的新小儿临床表型的COVID-19。该补充的总体目的是使 有关儿科共vid-199住院率和疾病严重程度的轨迹的信息 独特的小儿共同199临床表型很容易用于国家水平的决策。我们 将进一步开发计算管道，以分析儿科Covid-19的轨迹 比率和疾病的严重程度，并扩大了我们的互动小儿共vid-19的严重性仪表板，以近实时 跟踪SARS-COV-2大流行的影响。为此，我们将利用国家共同队列 协作（N3C），这是一种由国家推进转化中心的资助开发的资源 科学（NCAT）。 N3C汇总了来自70多个美国中心的电子健康记录（EHR）数据。在 我们先前的工作，我们已经证明了我们分析N3C中颗粒多中心EHR数据的能力， 在N3C平台上利用最新的计算资源，并实施分析技术 与该提案中的那些类似。我们将在N3C中使用这些丰富的EHR数据来完成以下特定 目的：1A）维护，扩展和传播交互式小儿共同-19仪表板和1B）监视器 并报告出现的小儿共同199临床表型。我们组建了一个调查团队 通过该领域的成功记录，并将与NIH领导层合作解决这一问题 国家和全球卫生优先事项。我们希望这种补充剂对 通过减少不知不觉的可能性 美国儿科卫生系统。