2024
Predicting Major Adverse Events in Patients Undergoing Transcatheter Left Atrial Appendage Occlusion
Faridi K, Ong E, Zimmerman S, Varosy P, Friedman D, Hsu J, Kusumoto F, Mortazavi B, Minges K, Pereira L, Lakkireddy D, Koutras C, Denton B, Mobayed J, Curtis J, Freeman J. Predicting Major Adverse Events in Patients Undergoing Transcatheter Left Atrial Appendage Occlusion. Circulation Arrhythmia And Electrophysiology 2024, 17: e012424. PMID: 38390713, PMCID: PMC11021146, DOI: 10.1161/circep.123.012424.Peer-Reviewed Original ResearchNational Cardiovascular Data RegistryLeft atrial appendage occlusionIn-hospital major adverse eventsMajor adverse eventsBedside risk scoreRisk scoreData RegistryIncreased fall riskAdverse eventsQuality improvement effortsWatchman FLXAppendage occlusionFall riskLeft atrial appendage occlusion procedureRegistry dataImprovement effortsRisk of in-hospital major adverse eventsPredicting major adverse eventsLogistic regressionAdverse event ratesModerate discriminationClinically relevant variablesFemale sexAtrial fibrillation terminationLAAO procedures
2021
Predicting In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Intervention
Castro-Dominguez YS, Wang Y, Minges KE, McNamara RL, Spertus JA, Dehmer GJ, Messenger JC, Lavin K, Anderson C, Blankinship K, Mercado N, Clary JM, Osborne AD, Curtis JP, Cavender MA. Predicting In-Hospital Mortality in Patients Undergoing Percutaneous Coronary Intervention. Journal Of The American College Of Cardiology 2021, 78: 216-229. PMID: 33957239, DOI: 10.1016/j.jacc.2021.04.067.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionHospital mortalityQuality improvement effortsCoronary interventionDevelopment cohortValidation cohortRisk-standardized mortality ratesHospital risk-standardized mortality ratesBedside risk scoreHigh-risk patientsIn-Hospital MortalityHospital mortality riskRisk of mortalityLevel of consciousnessProcedural urgencyCathPCI RegistryClinical presentationRisk cohortRisk stratificationCardiovascular instabilityCardiac arrestMortality riskRisk scoreClinical acuityClinical relevance
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 risk
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
2015
A validated risk model for 1-year mortality after primary prevention implantable cardioverter defibrillator placement
Heidenreich PA, Tsai V, Curtis J, Wang Y, Turakhia MP, Masoudi FA, Varosy PD, Goldstein MK. A validated risk model for 1-year mortality after primary prevention implantable cardioverter defibrillator placement. American Heart Journal 2015, 170: 281-289.e2. PMID: 26299225, DOI: 10.1016/j.ahj.2014.12.013.Peer-Reviewed Original ResearchConceptsOne-year mortalityImplantable cardioverter defibrillatorRisk factorsHeart failurePrimary preventionMortality riskRisk scorePrimary prevention implantable cardioverter-defibrillator placementB-type natriuretic peptide valuesImplantable cardioverter-defibrillator placementCardiovascular Disease RegistryPrimary prevention populationNatriuretic peptide valuesChronic lung diseaseSystolic blood pressureSimilar risk factorsBlood urea nitrogenPg/mLLogistic regression modelsPrevention populationICD therapyICD implantationBlood pressureICD RegistryICD placement
2014
Predictors of an Inadequate Defibrillation Safety Margin at ICD Implantation Insights From the National Cardiovascular Data Registry
Hsu JC, Marcus GM, Al-Khatib SM, Wang Y, Curtis JP, Sood N, Parker MW, Kluger J, Lampert R, Russo AM. Predictors of an Inadequate Defibrillation Safety Margin at ICD Implantation Insights From the National Cardiovascular Data Registry. Journal Of The American College Of Cardiology 2014, 64: 256-264. PMID: 25034061, DOI: 10.1016/j.jacc.2014.01.085.Peer-Reviewed Original ResearchConceptsInadequate defibrillation safety marginDefibrillation safety marginSimple risk scoreAdverse eventsRisk scoreNew York Heart Association functional class IIIImplantable cardioverter defibrillator implantationNational Cardiovascular Data RegistrySecondary prevention indicationFunctional class IIIHospital adverse eventsCardioverter-defibrillator implantationIschemic heart diseaseLogistic regression modelsHospital mortalityPrevention indicationICD recipientsMale sexDefibrillation testingRenal dialysisHeart diseaseBiventricular deviceData registryLower riskGreater oddsRisk Stratification for Long-Term Mortality After Percutaneous Coronary Intervention
Wu C, Camacho FT, King SB, Walford G, Holmes DR, Stamato NJ, Berger PB, Sharma S, Curtis JP, Venditti FJ, Jacobs AK, Hannan EL. Risk Stratification for Long-Term Mortality After Percutaneous Coronary Intervention. Circulation Cardiovascular Interventions 2014, 7: 80-87. PMID: 24425588, PMCID: PMC4121885, DOI: 10.1161/circinterventions.113.000475.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionCox proportional hazards modelLong-term mortalityProportional hazards modelSimple risk scoreRisk of deathRisk scoreHazards modelCoronary interventionVital statusRisk factorsCoronary artery bypass graft surgeryArtery bypass graft surgeryExtreme body mass indexPoint-based risk scorePreprocedural risk factorsSimplified risk scoreUnstable hemodynamic stateBypass graft surgeryLow ejection fractionNational Death IndexBody mass indexPatients' vital statusSeparate risk factorsMultivessel disease
2013
Developing a Risk Model for In-Hospital Adverse Events Following Implantable Cardioverter-Defibrillator Implantation A Report From the NCDR (National Cardiovascular Data Registry)
Dodson JA, Reynolds MR, Bao H, Al-Khatib SM, Peterson ED, Kremers MS, Mirro MJ, Curtis JP, NCDR. Developing a Risk Model for In-Hospital Adverse Events Following Implantable Cardioverter-Defibrillator Implantation A Report From the NCDR (National Cardiovascular Data Registry). Journal Of The American College Of Cardiology 2013, 63: 788-796. PMID: 24333491, PMCID: PMC3954985, DOI: 10.1016/j.jacc.2013.09.079.Peer-Reviewed Original ResearchConceptsHospital adverse eventsAdverse eventsComplication rateValidation cohortRisk scoreIn-Hospital Adverse EventsImplantable cardioverter defibrillator implantationICD implantation procedureOutcomes of patientsCardioverter-defibrillator implantationHigh-risk subgroupsMultivariable logistic regressionHospital complicationsPeriprocedural complicationsICD implantationICD placementAdverse outcomesRisk subgroupsProcedural volumeStudy groupPatientsProlong lifeCase mixA ReportImplantation procedure
2011
Implantable Cardioverter-Defibrillator Registry Risk Score Models for Acute Procedural Complications or Death After Implantable Cardioverter-Defibrillator Implantation
Haines DE, Wang Y, Curtis J. Implantable Cardioverter-Defibrillator Registry Risk Score Models for Acute Procedural Complications or Death After Implantable Cardioverter-Defibrillator Implantation. Circulation 2011, 123: 2069-2076. PMID: 21537001, DOI: 10.1161/circulationaha.110.959676.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillator implantationSimple risk scoreCardioverter-defibrillator implantationAdverse eventsRisk scoreLower riskNew York Heart Association class IIILow-risk subsetPrior valve surgeryAcute procedural complicationsChronic lung diseaseRisk stratification schemaAvailable clinical variablesBlood urea nitrogenIntensity of careRisk score modelLogistic regression modelsHospital complicationsAcute complicationsHospital deathValve surgeryICD implantationPostprocedural complicationsICD RegistryProcedural complications