Development of clinical decision tools for management of diarrhea of children in high and low resource settings

开发资源丰富和匮乏环境下儿童腹泻管理的临床决策工具

• 批准号: 9912093
• 负责人: Daniel Ted Leung
• 金额: $ 39.72万
• 依托单位: UNIVERSITY OF UTAH
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-08 至 2022-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9912093
• 关键词: Accident and Emergency department; Accounting; Acute; Africa; African; Antibiotic Therapy; Antibiotics; Antigens; Bacterial Infections; Biological Assay; Case Management; Cause of Death; Cessation of life; Characteristics; Child; Child Care; Childhood; Clinical; Cohort Studies; Cost Effective Management; Country; Data; Decision Making; Detection; Diagnosis; Diagnostic; Diagnostic tests; Diarrhea; Electronic Health Record; Elements; Enteral; Etiology; Feces; Gastroenteritis; Goals; Growth; Health Personnel; Health system; Healthcare Systems; Income; International; Laboratories; Lead; Logistics; Machine Learning; Methods; Microscopic; Minority; Modernization; Molecular; Molecular Diagnostic Techniques; Morbidity - disease rate; Multicenter Studies; Natural Language Processing; Outcome; Pathogen detection; Patient Monitoring; Patients; Performance; Prospective cohort study; Resistance; Resistance development; Resources; Risk; Risk stratification; Sample Size; Techniques; Test Result; Testing; Toxic effect; United States; United States National Institutes of Health; Utah; Vaccines; antimicrobial; base; clinical development; clinical diagnostics; diarrheal disease; evidence base; health care service utilization; improved; low and middle-income countries; low income country; machine learning method; microbial; molecular diagnostics; mortality; outcome prediction; pathogen; point of care; predictive modeling; prognostic; prospective; tool

Abstract Diarrheal diseases are the among the leading cause of death in children worldwide, most of which occur in low-income countries. In high-income countries, pediatric diarrhea remains a major utilization of healthcare resources. Treatment of diarrhea is mostly empiric, with antibiotic use mostly based on clinical suspicion for bacterial causes. However, the majority of cases of diarrhea do not benefit from antibiotic use, and inappropriate use leads to toxicity and resistance. Furthermore, despite the increasing availability of rapid molecular testing, there is little data to base a decision of whom or when to test. Our overarching goal is to develop and validate clinical decision tools for management of diarrheal illnesses in children of both high and low resource settings. We will utilize prospectively-collected data from two recently-completed multicenter cohort studies of pediatric diarrhea. These studies feature extensive etiologic testing, well-characterized clinical elements, and longitudinal outcome data. We have assembled a team with expertise in pediatric diarrhea, clinical prediction rules, and machine learning methods. In Aim 1, we will use domestic data to develop and validate: a) a score for bacterial etiology, and b) a score for which patients are likely to benefit from further testing. We will derive the scores using data from IMPACT, an NIH-sponsored study of 1200 children from 5 US Emergency Departments, and validate using electronic health records from the Utah Intermountain Health System. In Aim 2, we will use international data to develop and validate: a) a diagnostic score for bacterial etiology, and b) a prognostic score for risk stratification of children who go on to poor outcomes. We will derive the scores using data from GEMS, a study of over 9400 children across 7 low-resource countries, and validate using VIDA study of children in 3 African countries. Completion of the Aims will result in the availability of a number of clinical tools that healthcare workers worldwide can use for evidence-based care of children with diarrhea.

摘要 腹泻病是全世界儿童死亡的主要原因之一，其中大多数发生在 低收入国家。在高收入国家，儿科腹泻仍然是医疗保健的主要用途 资源腹泻的治疗主要是经验性的，抗生素的使用主要基于临床怀疑 细菌原因。然而，大多数腹泻病例并不能从抗生素的使用中获益， 不适当的使用会导致毒性和抗药性。此外，尽管快速的可用性不断增加， 分子测试，几乎没有数据来决定谁或何时测试。我们的首要目标是 开发和验证临床决策工具，用于管理高血压和高血糖儿童的牙周炎疾病， 低资源设置。我们将利用最近完成的两项多中心前瞻性收集的数据， 儿科腹泻的队列研究。这些研究的特点是广泛的病原学测试，良好的临床特征， 要素和纵向结果数据。我们组建了一个儿科腹泻专家团队， 临床预测规则和机器学习方法。在目标1中，我们将利用国内数据开发和 验证：a）细菌病原学评分，和B）患者可能从进一步治疗中获益的评分 试验.我们将使用IMPACT的数据得出分数，IMPACT是NIH赞助的一项研究，涉及5岁以下的1200名儿童。 美国紧急部门，并使用来自犹他州山间健康中心的电子健康记录进行验证 系统在目标2中，我们将使用国际数据来开发和验证：a）细菌感染的诊断评分， 病因学，和B）对继续进行不良结果的儿童进行风险分层的预后评分。我们将推导出 使用来自GEMS的数据，对7个低资源国家的9400多名儿童进行了研究， 使用维达对3个非洲国家儿童的研究。完成目标后， 全球卫生保健工作者可用于循证护理儿童的临床工具数量 腹泻