Scalable and Interoperable framework for a clinically diverse and generalizable sepsis Biorepository using Electronic alerts for Recruitment driven by Artificial Intelligence (short title: SIBER-AI)

使用人工智能驱动的招募电子警报的临床多样化和通用脓毒症生物库的可扩展和可互操作框架（简称：SIBER-AI）

• 批准号: 10576015
• 负责人: ANNETTE M. ESPER
• 金额: $ 18.32万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10576015
• 关键词: Accident and Emergency department; Acute; Algorithms; Ambulances; Animal Model; Antibiotics; Artificial Intelligence; Biological; Cause of Death; Cells; Cessation of life; Characteristics; Clinical; Clinical Research; Collection; Conceptions; Consent; Critical Care; Critical Illness; Cryopreserved Cell; Decision Making; Development; Diagnosis; Disease; Disparity; Early treatment; Electronics; Enrollment; Environment; Ethics; Family; Functional disorder; Health; Hospital Mortality; Hospitals; Hour; Human; Immune response; Individual; Infection; Informed Consent; Integration Host Factors; Intensive Care Units; Intervention; Learning; Length of Stay; Maintenance; Managed Care; Measures; Methods; Modeling; Organ; Outcome; Patient Admission; Patient-Focused Outcomes; Patients; Phenotype; Physiological; Population; Population Heterogeneity; Procedures; Process; Research; Research Personnel; Research Support; Resources; Risk; Sepsis; Severities; Site; Source; Specimen; Standardization; Suspensions; Testing; Time; Trust; United States; Variant; Volatilization; acute care; biobank; cell type; clinical translation; cohort; design; experience; gender disparity; hospital care; improved; improved outcome; interoperability; mortality; mortality risk; multimodality; multiple omics; novel; novel strategies; operation; patient population; personalized management; precision medicine; preservation; racial disparity; recruit; repository; screening; septic patients; surrogate decision maker; targeted treatment; treatment and outcome; ward; wearable sensor technology

PROJECT SUMMARY Sepsis is a major health challenge worldwide that is associated with a significant risk of mortality. The key to improved outcomes in sepsis is earlier treatment once diagnosed, with delays in therapy being associated with worse outcomes. Sepsis is a heterogenous disease, and thus despite decades of research focused on various aspects of sepsis, there still remains much to be learned about the underlying mechanisms that result in differences in outcomes. The utilization of biorepositories gives investigators the opportunity to study different mechanisms of disease; however, it is imperative that we collect biospecimens early on in disease and at different time point in order to understand disease trajectory. Furthermore, there are opportunities within critical care research to diversify the patient population enrolled in studies in order to investigate disparities that occur in sepsis. Thus, the need to develop best practices and standard operation procedures are required that may serve as templates for establishing scalable and generalizable sepsis biorepositories. This proposal aims to 1) develop an integrated multi-modal clinical, physiologic, volatilomic, and multi-omic biorepository profile driven by a semi-autonomous screening algorithm to enrich sepsis phenotypes; 2)design and test novel methods of biospecimen collection among enriched sepsis populations in both ambulance and acute care hospital environments ; and 3)develop novel approaches to biorepository consent that match the clinical context of sepsis, maximize representativeness among patients, and enhance trust and engagement among patients and surrogate decision-makers.

项目总结