2024
Machine learning prediction of one-year mortality after percutaneous coronary intervention in acute coronary syndrome patients
Hosseini K, Behnoush A, Khalaji A, Etemadi A, Soleimani H, Pasebani Y, Jenab Y, Masoudkabir F, Tajdini M, Mehrani M, Nanna M. Machine learning prediction of one-year mortality after percutaneous coronary intervention in acute coronary syndrome patients. International Journal Of Cardiology 2024, 409: 132191. PMID: 38777044, DOI: 10.1016/j.ijcard.2024.132191.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedFemaleFollow-Up StudiesHumansIranMachine LearningMaleMiddle AgedMortalityPercutaneous Coronary InterventionPredictive Value of TestsTime FactorsConceptsPercutaneous coronary interventionLogistic regressionPost-PCI mortalityPrediction of one-year mortalityCoronary interventionPrediction of 1-year mortalityBody mass indexAcute coronary syndrome patientsOne-year mortalityIndividual-level assessmentsReceiver operating characteristic curveAcute coronary syndromeCoronary syndrome patientsTehran Heart CenterRates of comorbiditiesMass indexHigher ageSyndrome patientsCoronary syndromeHeart CenterFollow-upLipid profileU-shaped correlationPatientsCharacteristic curve
2022
Are risk factors necessary for pretest probability assessment of coronary artery disease? A patient similarity network analysis of the PROMISE trial
Kolossváry M, Mayrhofer T, Ferencik M, Karády J, Pagidipati NJ, Shah SH, Nanna MG, Foldyna B, Douglas PS, Hoffmann U, Lu MT. Are risk factors necessary for pretest probability assessment of coronary artery disease? A patient similarity network analysis of the PROMISE trial. Journal Of Cardiovascular Computed Tomography 2022, 16: 397-403. PMID: 35393245, PMCID: PMC9452442, DOI: 10.1016/j.jcct.2022.03.006.Peer-Reviewed Original ResearchMeSH KeywordsCalciumComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFemaleHumansMalePredictive Value of TestsRisk AssessmentRisk FactorsConceptsCoronary artery diseaseCoronary CT angiographyCalcium scoreRisk factorsLuminal narrowingPTP scoreArtery diseasePatient characteristicsPROMISE trialStable chest pain patientsObstructive coronary artery diseasePretest probability assessmentChest pain patientsSimilar risk profilesCT angiographyImaging markerRisk profileDiagnostic accuracyCAD predictionSex groupsProbability calculatorScoresSubanalysesDiseaseGroup individuals
2021
The prospective randomized trial of the optimal evaluation of cardiac symptoms and revascularization: Rationale and design of the PRECISE trial
Nanna MG, Vemulapalli S, Fordyce CB, Mark DB, Patel MR, Al-Khalidi HR, Kelsey M, Martinez B, Yow E, Mullen S, Stone GW, Ben-Yehuda O, Udelson JE, Rogers C, Douglas PS. The prospective randomized trial of the optimal evaluation of cardiac symptoms and revascularization: Rationale and design of the PRECISE trial. American Heart Journal 2021, 245: 136-148. PMID: 34953768, PMCID: PMC8979644, DOI: 10.1016/j.ahj.2021.12.004.Peer-Reviewed Original ResearchMeSH KeywordsComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseFractional Flow Reserve, MyocardialHumansPredictive Value of TestsProspective StudiesQuality of LifeConceptsCoronary artery diseaseStable chest painChest painDiagnostic strategiesUsual careCardiac symptomsMajor adverse cardiac eventsNon-acute chest painObstructive coronary artery diseaseInitial diagnostic strategyInvasive cardiac catheterizationUse of CCTAUsual care strategyAdverse cardiac eventsProspective randomized trialsClinical care teamFractional flow reserveQuality of lifeHealth care costsOptimal evaluationPrimary endpointRevascularization TrialSecondary endpointsCardiac eventsArtery diseaseThe incremental value of angiographic features for predicting recurrent cardiovascular events: Insights from the Duke Databank for Cardiovascular Disease
Nanna MG, Peterson ED, Chiswell K, Overton RA, Nelson AJ, Kong DF, Navar AM. The incremental value of angiographic features for predicting recurrent cardiovascular events: Insights from the Duke Databank for Cardiovascular Disease. Atherosclerosis 2021, 321: 1-7. PMID: 33582446, PMCID: PMC8221430, DOI: 10.1016/j.atherosclerosis.2021.02.004.Peer-Reviewed Original ResearchMeSH KeywordsCardiovascular DiseasesCoronary AngiographyCoronary Artery DiseaseHumansMyocardial InfarctionPredictive Value of TestsPrognosisRisk AssessmentRisk FactorsConceptsSecondary risk predictionAngiographic featuresCardiovascular diseaseCardiovascular eventsClinical characteristicsDuke DatabankMultivariable modelIncremental valueRisk predictionAtherosclerotic cardiovascular disease eventsSignificant coronary artery diseaseBaseline clinical factorsDuke CAD indexRecurrent cardiovascular eventsCardiovascular disease eventsSame health systemCoronary artery diseasePrimary care physiciansCardiac catheterization patientsCoronary angiographic featuresRecurrent eventsRisk prediction modelAngiographic variablesInitial revascularizationAngiographic predictors
2019
Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Goldstein D, Forman DE, Alexander KP, Gill TM, Chaudhry SI. Thirty-Day Readmission Risk Model for Older Adults Hospitalized With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005320. PMID: 31010300, PMCID: PMC6481309, DOI: 10.1161/circoutcomes.118.005320.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overFemaleGeriatric AssessmentHealth Status IndicatorsHumansMaleMyocardial InfarctionPatient AdmissionPatient ReadmissionPredictive Value of TestsProspective StudiesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionReadmission risk modelFinal risk modelFunctional mobilityFunctional impairmentMyocardial infarctionOlder adultsFirst diastolic blood pressureChronic obstructive pulmonary diseaseAge-related functional impairmentsP2Y12 inhibitor useAcute kidney injuryDaily living (ADL) disabilityPatient-level factorsProspective cohort studyDiastolic blood pressureObstructive pulmonary diseasePatients of ageGeneral health statusStrongest predictorRisk modelMore comorbiditiesCause readmissionKidney injuryCohort study