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.

这种小型企业技术转移（STTR）项目的更广泛的影响/商业潜力改善了新生儿重症监护病房（NICUS）的早产儿的结果。每年美国平均有518,000名早产儿在美国出生，出院后有49％的婴儿在喂养方面遇到困难。无法成功喂养的早产婴儿会增加医院再入院的风险。在美国，有22,721张NICU床，妊娠不到32周的婴儿的平均住院时间为13.2天。目前的做法是，婴儿在NICU中的平均成本为每天7,000美元，全国成本超过260亿美元。该项目推进了一个新的喂养监测系统。 估计使用该设备的住院时间估计为2天，每年将新生儿医疗保健支出的经济成本降低89亿美元，并将减少对未来医疗干预措施的需求，因为婴儿以更强的早期健康基线出院。这个小型企业技术转移（STTR）I阶段项目将推进NICU Care。 对于接受NICU的婴儿而言，成功的口服喂养是出院的先决条件，但是由于协调与呼吸吞咽的问题，早产儿经常在口服喂养技能上挣扎。由于这些神经发育的不成熟，在早产儿中实现安全有效的口服喂养是具有挑战性的。因此，进食进展受到维持心肺稳定性的困难的限制。提出的生物医学平台和临床算法界面使用了描述呼吸模式的大数据来量化呼吸和吞咽的同步。喂养过程中测量婴儿呼吸模式的一种精确方法为临床医生提供了一种诊断工具，可以更好地告知与进食相关的决策。 该设备提供了喂养成功和排放准备就绪的客观指标。 这将导致不蓬勃发展的再入院率下降，大大降低了医疗保健的利用率和放入后支出。该奖项反映了NSF的法定任务，并且认为值得通过基金会的智力优点评估来支持支持，并具有更广泛的影响标准。