grant
Predicting Clinical Deterioration in Mechanically Ventilated Children using High-Frequency Physiologic Data
Organization LURIE CHILDREN'S HOSPITAL OF CHICAGOLocation CHICAGO, UNITED STATESPosted 12 Aug 2024Deadline 31 Jul 2029
NIHUS FederalResearch GrantFY20250-11 years oldAdmissionAdmission activityAgeAreaAwardCalibrationCardiovascularCardiovascular Body SystemCardiovascular Organ SystemCardiovascular systemChildChild YouthChildren (0-21)Children's HospitalClinicalClinical DataCritical CareCritically ill childrenDataData AnalysesData AnalysisDeath RateDeteriorationDysfunctionEarly InterventionEarly identificationFoundationsFrequenciesFunctional disorderGoalsGroups at riskHeart VascularHourInterventionIntervention StudiesIntervention TrialInterventional trialK23 AwardK23 MechanismK23 ProgramLeadMachine LearningMeasuresMechanical ventilationMentored Patient-Oriented Research Career Development AwardMentored Patient-Oriented Research Career Development Award (K23)ModelingMonitorOrganOutcomePatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPb elementPediatric HospitalsPeople at riskPersons at riskPhysiologicPhysiologic MonitoringPhysiologicalPhysiological MonitoringPhysiologyPhysiopathologyPopulations at RiskPrecision carePredictive ValuePublishingROC AnalysesROC CurveResearchRespiration DisordersRespiratory DisorderRiskRisk AssessmentSurvivorsTestingTimeTrainingValidationWorkagesbiomed informaticsbiomedical informaticsbreathing disordercirculatory systemclinical decision supportclinical decision-makingclinical practiceclinical predictive modelclinical predictorsclinical riskcohortcomputer based predictioncritically ill childdata interpretationdeath riskdesigndesigningeffectiveness testingexperiencehealth and care deliveryhealth care deliveryhealth delivery systemshealth services deliveryheart rate variabilityheavy metal Pbheavy metal leadhigh riskhigh risk grouphigh risk individualhigh risk peoplehigh risk populationimplementation designimplementation research designimplementation scienceimprovedimproved outcomeindividualized careindividualized patient careinnovateinnovationinnovativeintervention designintervention researchinterventional researchinterventional studyinterventions researchkidsmachine based learningmachine learning based prediction modelmachine learning based predictive modelmachine learning predictionmachine learning prediction modelmechanical respiratory assistmechanically ventilatedmortalitymortality ratemortality ratiomortality risknovelpathophysiologypatient oriented outcomesperformance testspersonalized carepersonalized health carepersonalized patient careprecision health carepredictive modelingprofound disabilityprogramspublic health relevancereceiver operating characteristic analysesreceiver operating characteristic curverespiratoryrespiratory dysfunctionserious disabilitysevere disabilitysupport toolstherapy designtreatment designusabilityuser centered designvalidationsyoungster
Description preview
PROJECT SUMMARY
Significance: Clinical deterioration in the PICU, as defined by new or progressive organ dysfunction, occurs in
up to 5% of critically ill children during their first week of admission. Importantly, patients with progressive
organ dysfunction have a mortality rate as high as 50%, with over 20% of survivors experiencing moderate to…
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