2018
Clinical Model to Predict 90-Day Risk of Readmission After Acute Myocardial Infarction
Kini V, Peterson PN, Spertus JA, Kennedy KF, Arnold SV, Wasfy JH, Curtis JP, Bradley SM, Amin AP, Ho PM, Masoudi FA. Clinical Model to Predict 90-Day Risk of Readmission After Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2018, 11: e004788. PMID: 30354578, PMCID: PMC6214661, DOI: 10.1161/circoutcomes.118.004788.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionPredictors of readmissionSimple risk scoreDays of hospitalizationGroup of patientsProportional hazards regressionCause readmissionCoronary revascularizationClinical characteristicsCohort studyHospital dischargeDiabetes mellitusHeart failureHazards regressionReadmission riskUnique patientsTransitional careACTION RegistryPrimary diagnosisValue-based reimbursementIndividual patientsReadmissionRisk scoreLower riskPredicting Length of Stay and the Need for Postacute Care After Acute Myocardial Infarction to Improve Healthcare Efficiency
Wasfy JH, Kennedy KF, Masoudi FA, Ferris TG, Arnold SV, Kini V, Peterson P, Curtis JP, Amin AP, Bradley SM, French WJ, Messenger J, Ho PM, Spertus JA. Predicting Length of Stay and the Need for Postacute Care After Acute Myocardial Infarction to Improve Healthcare Efficiency. Circulation Cardiovascular Quality And Outcomes 2018, 11: e004635. PMID: 30354547, PMCID: PMC6207219, DOI: 10.1161/circoutcomes.118.004635.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overClinical Decision-MakingDecision Support TechniquesDelivery of Health Care, IntegratedEfficiency, OrganizationalFemaleHumansLength of StayMaleMiddle AgedMyocardial InfarctionPatient DischargePredictive Value of TestsQuality ImprovementQuality Indicators, Health CareRegistriesRisk FactorsSubacute CareTime FactorsTreatment OutcomeUnited StatesConceptsLength of stayAcute myocardial infarctionAcute MI patientsMyocardial infarctionPostacute carePostacute facilitiesMI patientsST-segment elevation myocardial infarctionPostacute care facilityCare of patientsHierarchical logistic regression modelsLogistic regression modelsCoordinated care planningInitial hospitalizationHospital admissionACTION RegistryTraining cohortCare coordinationNational registryMI subgroupCare planningCare facilitiesPatientsProspective testingHospitalization
2016
Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients
Minges KE, Herrin J, Fiorilli PN, Curtis JP. Development and validation of a simple risk score to predict 30‐day readmission after percutaneous coronary intervention in a cohort of medicare patients. Catheterization And Cardiovascular Interventions 2016, 89: 955-963. PMID: 27515069, PMCID: PMC5397364, DOI: 10.1002/ccd.26701.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAlgorithmsDecision Support TechniquesFemaleHumansLogistic ModelsMaleMedicareMultivariate AnalysisOdds RatioPatient ReadmissionPercutaneous Coronary InterventionPredictive Value of TestsRegistriesReproducibility of ResultsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsRisk of readmissionPCI patientsRisk scoreMultivariable logistic regression modelRisk score developmentDays of dischargeSimple risk scoreTime of dischargeModel c-statisticLogistic regression modelsStepwise selection modelCathPCI RegistryHospital dischargeReadmission ratesClinical factorsRevascularization proceduresValidation cohortC-statisticReadmissionHigh riskMedicare feeLower riskService claimsPatientsCohort
2014
Validated Contemporary Risk Model of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions: Insights From the National Cardiovascular Data Registry Cath‐PCI Registry
Tsai TT, Patel UD, Chang TI, Kennedy KF, Masoudi FA, Matheny ME, Kosiborod M, Amin AP, Weintraub WS, Curtis JP, Messenger JC, Rumsfeld JS, Spertus JA. Validated Contemporary Risk Model of Acute Kidney Injury in Patients Undergoing Percutaneous Coronary Interventions: Insights From the National Cardiovascular Data Registry Cath‐PCI Registry. Journal Of The American Heart Association 2014, 3: e001380. PMID: 25516439, PMCID: PMC4338731, DOI: 10.1161/jaha.114.001380.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAge FactorsAgedBiomarkersComorbidityCreatinineDecision Support TechniquesFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedPercutaneous Coronary InterventionPredictive Value of TestsRegistriesRenal DialysisReproducibility of ResultsRisk AssessmentRisk FactorsSeverity of Illness IndexTreatment OutcomeUnited StatesConceptsAcute kidney injuryPercutaneous coronary interventionCardiogenic shockKidney injuryCoronary interventionHeart failureValidation cohortPreventative strategiesRisk of PCIPrior percutaneous coronary interventionAKI prediction modelBaseline renal impairmentConsecutive PCI patientsContemporary risk modelsPrior cerebrovascular diseasePrior heart failureChronic lung diseaseRisk-stratify patientsLocal quality improvement effortsQuality improvement effortsGood discriminationBaseline CKDSTEMI presentationPCI patientsPCI registry
2007
Preventing tomorrow's sudden cardiac death today Part II: Translating sudden cardiac death risk assessment strategies into practice and policy
Sanders GD, Al-Khatib SM, Berliner E, Bigger JT, Buxton AE, Califf RM, Carlson M, Curtis AB, Curtis JP, Domanski M, Fain E, Gersh BJ, Gold MR, Goldberger J, Haghighi-Mood A, Hammill SC, Harder J, Healey J, Hlatky MA, Hohnloser SH, Lee KL, Mark DB, Mitchell B, Phurrough S, Prystowsky E, Smith JM, Stockbridge N, Temple R, conference F. Preventing tomorrow's sudden cardiac death today Part II: Translating sudden cardiac death risk assessment strategies into practice and policy. American Heart Journal 2007, 153: 951-959. PMID: 17540195, DOI: 10.1016/j.ahj.2007.03.002.Peer-Reviewed Original ResearchConceptsSudden cardiac deathCardiac deathClinical practicePrevention of SCDRisk assessment strategiesDuke Clinical Research InstituteClinical Research InstituteSCD preventionClinical cardiovascular medicineRisk stratificationHigh riskCurrent evidenceClinical strategiesDuke CenterCardiovascular medicineHealth policyPreventionFuture evidenceRiskDeathFurther testingGroup of individualsAssessment strategiesLevel of riskProfessional societies