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A PORTABLE MULTI-MODAL OPTICO-IMPEDANCE SYTEM FOR EARLY WARNING OF PROGRESSION IN STABLE COVID-19 PATIENTS

A PORTABLE MULTI-MODAL OPTICO-IMPEDANCE SYTEM FOR EARLY WARNING OF PROGRESSION IN STABLE COVID-19 PATIENTS
用于对稳定的 COVID-19 患者病情进展进行早期预警的便携式多模态光阻抗系统
批准号:
10188939
负责人:
Ryan Joseph Halter
金额:
$15.53万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-07-01 至 2024-01-31
关键词:
Accident and Emergency departmentAddressAlgorithmsAnimalsAssisted Living FacilitiesBlood VolumeCOVID-19COVID-19 detectionCOVID-19 diagnosisCOVID-19 early detectionCOVID-19 mortalityCOVID-19 patientCardiac OutputCardiovascular systemChestClinicClinicalClinical TrialsCommunitiesComplexComputer softwareDataData DiscoveryData SetDetectionDeteriorationDevelopmentDevice or Instrument DevelopmentDevicesDiagnosisDiagnosticDiagnostic testsDiseaseDropsEquipment and supply inventoriesEvaluationExtravascular Lung WaterFamily suidaeFeedbackFluid BalanceFundingGoalsHealthHealth PersonnelHealth care facilityHealthcareHealthcare SystemsHemorrhageHospitalizationHospitalsIndividualInstructionLearningLegal patentLong-Term CareLower Body Negative PressureLungMeasurementMedicalModelingMonitorMorbidity - disease rateNursing HomesOpticsOutpatientsOxygenParentsPatient MonitoringPatient-Focused OutcomesPatientsPeripheralPhasePopulationPreparationPrimary Health CarePrisonsPulse OximetryResourcesRespiratory SystemRiskSARS-CoV-2 infectionShockSmall Business Technology Transfer ResearchSpectrum AnalysisSymptomsSystemSystemic diseaseTechnologyTimeWateracute carealgorithm developmentcohortcollegecommercializationcommunity livingcoronavirus diseasecostdensityelectric impedanceelectrical impedance tomographyhigh riskhuman studyhuman subjectimproved outcomelight weightlung volumemortalitymultimodalitynon-invasive monitorpandemic diseaseportabilityprecision medicineprognosticprogramsprototyperesponsescale upsensortissue oxygenationtomographytransmission process

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Project Summary / Abstract: COVID-19, the clinical presentation associated with SARS-CoV-2 infection, has already profoundly impacted healthcare systems globally. Of particular note, communities such as long-term care facilities, assisted living communities, and prisons, are being devastated because of their high density of vulnerable individuals. Nursing home residents, which represent only 0.5% of the US population, account for 25% of COVID-19 deaths. Early detection of COVID-19 progression in these patients is critical to improving outcomes of patients who are in an early stable condition but at risk of deteriorating, but must be balanced with efficient use of primary care resources and adequate protection of healthcare workers. An early alert to progression with a high sensitivity and an acceptable rate of false-negatives would save patient lives, reduce exposure of healthcare workers, and would also facilitate resource-shifting in the face of a surge. The time, money and effort saved by allowing medical resources to be applied more accurately is the essence of precision medicine. During our current STTR efforts, we have developed and evaluated an opto-impedance system capable of integrating and classifying optical, electrical impedance spectroscopy and tomography data to detect change from baseline signatures of early ongoing hemorrhage with high accuracy. This proposal will (1) scale up our hardware inventory, (2) deploy on COVID-positive patients to collect continuous multiplex data and (3) retrain our algorithms using the data to detect associated deterioration due to progression of COVID symptoms. This multivariate approach that has already been demonstrated in other pre-shock models, has the potential to provide critical diagnostic and prognostic feedback in high-risk individuals.
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