STTR Phase I: An Integrated Biomedical Platform and Custom Algorithm to Optimize Feeding Protocols for Preterm Infants

STTR 第一阶段：用于优化早产儿喂养方案的集成生物医学平台和定制算法

• 批准号: 2208383
• 负责人: Caryn Bradley
• 金额: $ 25.6万
• 依托单位: BRADLEY, CARYN
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2208383&HistoricalAwards=false
• 关键词: STTR; Phase; Integrated; Biomedical; Platform

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project improves outcomes for preterm infants in neonatal intensive care units (NICUs). On average 518,000 preterm infants are born in the US each year and 49% experience difficulty feeding after discharge. Preterm infants who cannot successfully feed are at increased risk of hospital readmission. In the US, there are 22,721 NICU beds and the average length of stay for an infant born less than 32 weeks gestation is 13.2 days. The current practice is for babies to remain longer in the NICU at an average cost of $7,000 per day and a national cost of more than $26 billion a year. This project advances a new feeding monitoring system. An estimated 2-day reduction in length of stay with this device will lower the financial cost of overall neonatal healthcare expenditure by $8.9 billion annually and will reduce the need for future medical interventions because infants are discharged with a stronger early-stage health baseline. This Small Business Technology Transfer (STTR) Phase I project advances NICU care. For infants admitted to the NICU, successful oral feeding is a prerequisite for discharge home, but preterm infants often struggle with oral feeding skills, due to problems coordinating swallowing with breathing. Achieving safe and efficient oral feeding in preterm infants is challenging because of these neurodevelopmental immaturities. Feeding progress is therefore limited by difficulties in maintaining cardiorespiratory stability. The proposed biomedical platform and clinical algorithm interface uses big data describing breathing patterns to quantify the synchronization of breathing and swallowing. A precise method of measuring infant breathing patterns during feeding gives clinicians a diagnostic tool to better inform decisions related to feeding advancement. This device provides objective metrics of feeding success and discharge readiness. It will result in decreased readmissions for failure to thrive, substantially reducing healthcare utilizations and post-discharge expenditures.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该小企业技术转让 (STTR) 第一阶段项目具有更广泛的影响/商业潜力，可改善新生儿重症监护病房 (NICU) 中早产儿的结局。美国每年平均有 518,000 名早产儿出生，其中 49% 的早产儿在出院后出现喂养困难。无法成功喂养的早产儿再次入院的风险增加。在美国，有 22,721 个 NICU 床位，妊娠 32 周以下婴儿的平均住院时间为 13.2 天。目前的做法是让婴儿在新生儿重症监护室 (NICU) 停留的时间更长，平均每天的费用为 7,000 美元，全国每年的费用超过 260 亿美元。该项目提出了一种新的饲喂监测系统。 据估计，使用该设备的住院时间缩短 2 天将使新生儿医疗保健总体支出每年减少 89 亿美元的财务成本，并且由于婴儿出院时具有更强的早期健康基线，因此将减少未来医疗干预的需求。这个小企业技术转让 (STTR) 第一阶段项目促进了 NICU 护理。 对于入住新生儿重症监护病房的婴儿来说，成功的经口喂养是出院回家的先决条件，但由于吞咽与呼吸的协调问题，早产儿常常难以掌握经口喂养技巧。由于早产儿的神经发育不成熟，实现安全有效的经口喂养具有挑战性。因此，维持心肺稳定性的困难限制了喂养进度。所提出的生物医学平台和临床算法接口使用描述呼吸模式的大数据来量化呼吸和吞咽的同步。测量喂养期间婴儿呼吸模式的精确方法为临床医生提供了一种诊断工具，可以更好地为与喂养进展相关的决策提供信息。 该设备提供喂养成功和出院准备情况的客观指标。 它将导致因发育迟缓而再次入院的人数减少，从而大幅减少医疗保健利用率和出院后支出。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。