Demonstration of the Feasibility of Closed Loop Control of Blood Glucose in the Intensive Care Unit Setting Using a Novel Artificial Intelligence Based Glucose Control System
使用基于人工智能的新型血糖控制系统演示重症监护病房中血糖闭环控制的可行性
基本信息
- 批准号:10631190
- 负责人:
- 金额:$ 93.11万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-06-01 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAdmission activityAdultAlgorithmsArtificial IntelligenceArtificial PancreasBlood GlucoseCOVID-19 pandemicClinicalClinical TrialsCollaborationsComputer softwareContinuous Glucose MonitorCritical IllnessDataDevelopmentDevicesDiscipline of NursingDoseEngineeringEnvironmentFailureFood PackagingGlucoseGrantHeadHourHumanHyperglycemiaHypoglycemiaInfusion proceduresInsulinIntensive Care UnitsIntravenousLegal patentLinkLiverManualsMarketingMeasuresMedical DeviceMedical TechnologyMethodsMonitorMorbidity - disease rateNamesNursesPancreasPatient AdmissionPatient CarePatient-Focused OutcomesPatientsPatternPersonsPhasePhase III Clinical TrialsPhysiciansProcessProgramming LanguagesPumpRandomizedRandomized, Controlled TrialsReadingResistanceRiskSafetySpeedStressSystemTechnologyTestingTimeTranslatingTreatment ProtocolsUnited StatesUnited States Food and Drug AdministrationUniversitiesVariantartificial intelligence algorithmblood glucose regulationcommercializationcyber securitydesigndiabeticeffectiveness evaluationefficacy studyefficacy trialexperiencefirst-in-humanglucose monitorhuman errorimprovedin silicoin vivoinnovationinstrumentmortalitynon-diabeticnovelphase III trialporcine modelprospectivesafety studyusability
项目摘要
PROJECT SUMMARY
Failure to achieve tight glucose control in intensive care unit (ICU) patients is a major cause of morbidity and
mortality. The current method for controlling glucose for the almost 6 million patients admitted to the ICU each
year consists of time-intensive, error-prone, manual processes in which nurses have to check patient glucose
levels, calculate dosing and rates for intravenous (IV) insulin, and adjust IV pumps. These steps can decrease
nursing efficiency by up to 2 hours per patient per day.
Ideal Medical Technologies is developing an improved system for glucose control in ICU patients. FUSIONTM,
our closed-loop glucose control system, acts as an artificial pancreas; our innovation centers on using biomimicry
to design our artificial intelligence-based algorithms so that they function like the glucose regulation system
natively present in humans. These algorithms allow FUSION to continuously monitor a patient’s blood glucose
level and autonomously infuse insulin and/or dextrose into the patient to maintain the blood glucose level within
a physician-prescribed range. An automated, closed-loop approach to regulating glucose in critically ill patients
would represent a paradigm shift in treatment protocols, and ultimately, morbidity and mortality rates in the ICU.
One potential additional benefit of a closed-loop glucose control system beyond improved patient outcomes is
the possibility of decreasing nursing time spent on glucose control.
The FDA designated FUSION as a Breakthrough Medical Device in 2019, and our original IDE application was
approved by the FDA as of this year. In this proposed project, we intend to optimize a commercial FUSION
system and test it first in a 10-person non-randomized clinical safety trial and then in a 30-person randomized
controlled safety and efficacy trial – both trials will be performed in an ICU at Emory University.
Successful completion of this project will demonstrate clinical safety and preliminary efficacy of the FUSION
closed-loop glucose control system and will enable us to then move into larger efficacy Phase III trials in a
subsequent stage of development and commercialization; these Phase III trials will complete our data package
for the FDA for marketing approval.
项目总结
重症监护病房(ICU)患者未能实现严格的血糖控制是发病率和
死亡率。目前对入住ICU的近600万名患者的血糖控制方法
一年包括耗时、容易出错的手动流程,护士必须检查患者的血糖
计算静脉注射(IV)胰岛素的剂量和速率,并调整静脉输液泵。这些步骤可以减少
护理效率每名患者每天最多可提高2小时。
理想医疗技术公司正在开发一种改进的ICU患者血糖控制系统。FusionTM,
我们的闭环血糖控制系统,就像一个人造胰腺;我们的创新集中在使用仿生学上
设计我们的基于人工智能的算法,使它们的功能类似于血糖调节系统
先天存在于人类体内。这些算法允许Fusion连续监测患者的血糖
并自主地向患者输注胰岛素和/或葡萄糖,以维持血糖水平在
医生规定的范围。危重病患者血糖调节的自动化、闭环方法
将代表治疗方案的范式转变,并最终改变ICU的发病率和死亡率。
除了改善患者预后外,闭环血糖控制系统还有一个潜在的额外好处,即
减少血糖控制护理时间的可能性。
FDA在2019年将Fusion指定为突破性医疗设备,我们最初的IDE应用程序是
从今年起由FDA批准。在这个拟议的项目中,我们打算优化一种商业聚变
系统,并首先在10人的非随机临床安全性试验中测试它,然后在30人的随机临床试验中进行测试
受控安全性和有效性试验--这两项试验都将在埃默里大学的重症监护室进行。
该项目的成功完成将证明融合的临床安全性和初步疗效。
闭环血糖控制系统,将使我们能够进入更大的疗效第三阶段试验
后续阶段的开发和商业化;这些第三阶段试验将完成我们的数据包
等待FDA批准上市。
项目成果
期刊论文数量(0)
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科研奖励数量(0)
会议论文数量(0)
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Leon DeJournett其他文献
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{{ truncateString('Leon DeJournett', 18)}}的其他基金
Demonstration of the Feasibility of Closed Loop Control of Blood Glucose in the Intensive Care Unit Setting Using a Novel Artificial Intelligence Based Glucose Control System
使用基于人工智能的新型血糖控制系统演示重症监护病房中血糖闭环控制的可行性
- 批准号:
10482483 - 财政年份:2022
- 资助金额:
$ 93.11万 - 项目类别: