grant

PHORA-Pulmonary Hypertension Outcome Risk Assessment

Organization SENTARA HEALTHLocation VIRGINIA BEACH, UNITED STATESPosted 5 Jan 2024Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY20250-11 years old21+ years oldAdultAdult HumanBayesian ModelingBayesian adaptive designsBayesian adaptive modelsBayesian belief networkBayesian belief updating modelBayesian frameworkBayesian hierarchical modelBayesian network modelBayesian nonparametric modelsBayesian spatial data modelBayesian spatial image modelsBayesian spatial modelsBayesian statistical modelsBayesian tracking algorithmsBenchmarkingBest Practice AnalysisBiological MarkersBiomedical EngineeringBudgetsCardiovascular PathologyChildChild YouthChildhoodChildren (0-21)ClinicalClinical Decision Support SystemsClinical TrialsClinical Trials DesignCognitive DiscriminationCommunitiesComplexConsensusCor pulmonaleCustomDataData BasesData ElementDatabasesDerivationDerivation procedureDevelopmentDiscriminationDiseaseDisease ProgressionDisorderDocumentationEchocardiogramEchocardiographyEcologic SystemsEcological SystemsEcosystemFeedbackFingerprintFood and Drug AdministrationFoundationsFundingGenomicsGoalsHourImageImage EnhancementIndividualIntentionInterventionInvestigatorsMachine LearningMaintenanceMelonsModelingModernizationMonitorNatureOhioOutcomePalliative CarePalliative TherapyPalliative TreatmentPatient outcomePatient-Centered OutcomesPatient-Focused OutcomesPatientsPediatricsPhenotypePhysiciansPopulationPredicting RiskProbabilistic ModelsProbability ModelsPrognosisPublicationsPulmonary Heart DiseasePulmonary Heart DisorderPulmonary HypertensionQOLQuality of lifeRegistriesResearchResearch PersonnelResearch ResourcesResearchersResourcesRiskRisk AssessmentScientific PublicationSiteSpecialtyStatistical Data AnalysesStatistical Data AnalysisStatistical Data InterpretationStatistical ModelsSystemTestingTherapeuticTimeTrainingTransthoracic EchocardiographyTreatment EffectivenessUSFDAUnited States Food and Drug AdministrationUniversitiesUpdateValidationVascular remodelingVendorWorkadoption by clinicianadoption by health care providersadoption by physicianadoption by provideradulthoodbenchmarkbio-engineeredbio-engineersbio-markersbiobankbioengineeringbiologic markerbiological engineeringbiomarkerbiomedical referral centerbiorepositorycardiac MRIcardiac imagingcardiac magnetic resonance imagingcardiac scanningcardiopulmonary diseasecardiopulmonary disorderclinical predictorsclinician adoptioncomfort carecomputer human interactioncomputer sciencecostcost effectivenesscustomized therapycustomized treatmentcustomsdata basedata harmonizationdata miningdata registrydataminingdevelopmentaldiagnostic toolforecasting riskgenomic datagenomic datasetharmonized dataheart imagingheart scanningheart sonographyimagingimprovedindividualized medicineindividualized patient treatmentindividualized therapeutic strategyindividualized therapyindividualized treatmentkidsmachine based learningmachine learning based methodmachine learning methodmachine learning methodologiesman-machine interactionmedical specialtiesmeetingmeetingsmultidisciplinaryneglectnew markernew product developmentnovel biomarkernovel markeroutcome predictionpalliative interventionpatient oriented outcomespatient specific therapiespatient specific treatmentpatient subclasspatient subclusterpatient subgroupspatient subpopulationspatient subsetspatient subtypespediatricphysician adoptionpredict riskpredict riskspredicted riskpredicted riskspredicting riskspredictive riskpredicts riskproduct developmentprogramsprospectiveprovider adoptionprovider-level adoptionpulmonary arterial hypertensionpulmonary artery hypertensionreferral centerresponseresponse to therapyresponse to treatmentrisk predictionrisk predictionsrisk stratificationscientific computingstatistical analysisstatistical linear mixed modelsstatistical linear modelsstratify risksupport toolssurvival predictiontailored medical treatmenttailored therapytailored treatmenttherapeutic responsetherapy responsetooltreatment responsetreatment responsivenessunique treatmentvalidationsyoungster
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Full Description

ABSTRACT
This application seeks to develop improve and expand a multi-platform clinical decision support system

(CDSS) in pulmonary arterial hypertension (PAH) for physicians, PHORA (Pulmonary Hypertension

Outcomes Risk Assessment), which can be used in adults and children to: a) guide therapeutic decisions

and b) optimize clinical trial design. We will achieve this goal by utilizing clinical trial data from several large

databases of completed trials in PAH, ongoing adult and Pediatric PAH registries and Biobanks. The proposed

aims co-create the CDSS with a multi-disciplinary group of specialties including: biomedical engineering,

advanced PAH, computer science (machine learning/data mining), human computer interaction, and palliative

care experts. Our intention is to engage all stakeholders to achieve consensus and thereby assure the

acceptance of PHORA into practice. Successful completion of this project will lay the foundation for a

prospective, multi-center META-Registry in which PHORA will be evaluated with respect to modeling best

practice interventions leading to improved long-term patient outcomes. The ultimate aim is to disseminate this

resource so as to improve the efficiency, efficacy, and cost-effectiveness of this treatment for PAH.

Grant Number: 7R01HL164906-05
NIH Institute/Center: NIH

Principal Investigator: RAYMOND Benza

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