Feasibility of early detection of infection and sepsis in the home

在家中早期发现感染和败血症的可行性

• 批准号: 10706940
• 负责人: Raymond C Chan
• 金额: $ 29.81万
• 依托单位: NIGHTINGALE LABS CORPORATION
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-07-10 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10706940
• 关键词: Adherence; Admission activity; Antibiotics; Automation; Beds; Blood; Cardiopulmonary; Cardiopulmonary Physiology; Caring; Charge; Chronic Obstructive Pulmonary Disease; Clinic Visits; Clinical; Communication; Communities; Complex; Contracts; Data; Dehydration; Detection; Devices; Diagnostic; Dialysis procedure; Early Diagnosis; Early Intervention; End stage renal failure; Enrollment; Evaluation; Event; Focal Infection; Frequencies; Gastrointestinal Hemorrhage; Goals; Health system; Heart failure; Home; Home visitation; Hospital Costs; Hospitalization; Hospitals; Hour; Infection; Intelligence; Intervention; Learning; Mattresses; Measures; Monitor; Morbidity - disease rate; Notification; Observational Study; Outcome; Outpatients; Patient Participation; Patient Recruitments; Patients; Phase; Pneumonia; Population; Process; Reporting; Research; Risk; Sepsis; Septic Shock; Small Business Innovation Research Grant; Symptoms; Systemic infection; Technology; Testing; Thoracic Radiography; Travel; Urine; Work; actigraphy; antimicrobial; blind; cost; dashboard; data ingestion; design; detection platform; feasibility testing; hospice environment; improved; improved outcome; mortality; observational cohort study; patient population; population health; prospective; recruit; response; sensor; service organization; sleep pattern; wearable device

PROJECT ABSTRACT Sepsis, the systemic manifestation of infection, causes complex and costly hospitalizations with unacceptably high morbidity and mortality. Most research focuses on detection of the sepsis within the hospital; however, most sepsis is community-acquired and thus begins in the home. Nightingale Labs has developed a fully automated non-contact home bed sensing platform that detects signatures of hospitalizations without requiring any patient participation. Here, we will test whether the technology can be used to detect infections or sepsis. This SBIR proposal will evaluate the feasibility (Phase 1) and execute (Phase 2) a prospective observational study to learn the signatures of impending hospitalizations for localized or systemic infection. The work will substantially expand the toolkit for facilitating early recognition and intervention to reduce infection- and sepsis-associated morbidity and mortality.

项目摘要 脓毒症是感染的全身表现，会导致复杂且昂贵的住院治疗，并且无法接受 发病率和死亡率高。大多数研究集中于医院内脓毒症的检测；然而，大多数 脓毒症是社区获得性的，因此始于家庭。南丁格尔实验室开发了一种全自动 非接触式家庭病床传感平台，无需任何患者即可检测住院特征 参与。在这里，我们将测试该技术是否可以用于检测感染或败血症。这个SBIR 提案将评估可行性（第一阶段）并执行（第二阶段）前瞻性观察研究以了解 即将因局部或全身感染住院的特征。工作将大幅扩展 促进早期识别和干预以减少感染和败血症相关发病率的工具包 和死亡率。