Karl Minges, PhD, MPH
Associate Research Scientist in Medicine (Cardiology)Cards
About
Research
Overview
Medical Research Interests
Cardiovascular Diseases; Diabetes Mellitus; Health Care Quality, Access, and Evaluation; Socioeconomic Factors
Public Health Interests
Nutrition; Health Equity, Disparities, Social Determinants and Justice; Chronic Diseases; Health Care Quality, Efficiency; Health Care Management
Publications
2025
How do hospitals that serve low socioeconomic status patients achieve low readmission rates? A qualitative study of safety-net hospitals
Minges K, Chen P, Loh K, Sutton L, Bernheim S. How do hospitals that serve low socioeconomic status patients achieve low readmission rates? A qualitative study of safety-net hospitals. BMJ Open 2025, 15: e083384. PMID: 39947820, PMCID: PMC11831259, DOI: 10.1136/bmjopen-2023-083384.Peer-Reviewed Original ResearchConceptsSafety-net hospitalHospital staffReadmission ratesSocioeconomic statusSafety-netPatients of low socioeconomic statusQuality of care indicatorsMedicaid patientsProportion of Medicaid patientsLow-SES populationsLow socioeconomic status patientsPostacute care facilitiesSocioeconomic status patientsHealthcare policy changesLow socioeconomic statusProvision of high-qualityCare indicatorsEquitable careHospital supportCare facilitiesPatient needsPatient carePayer sourceSample hospitalsThematic analysisPredicting Mortality in Patients Hospitalized With Acute Myocardial Infarction: From the National Cardiovascular Data Registry
Faridi K, Wang Y, Minges K, Smilowitz N, McNamara R, Kontos M, Wang T, Connors A, Clary J, Osborne A, Pereira L, Curtis J, Blankinship K, Mayfield J, Abbott J. Predicting Mortality in Patients Hospitalized With Acute Myocardial Infarction: From the National Cardiovascular Data Registry. Circulation Cardiovascular Quality And Outcomes 2025, 18: e011259. PMID: 39801472, PMCID: PMC11919567, DOI: 10.1161/circoutcomes.124.011259.Peer-Reviewed Original ResearchConceptsNational Cardiovascular Data Registry Chest Pain-MI RegistryIn-hospital mortalityAcute myocardial infarctionChest Pain-MI RegistryOut-of-hospital cardiac arrestRisk scoreRisk-standardized modelsNational Cardiovascular Data RegistryAcute MI hospitalizationsPatient characteristicsMyocardial infarctionContemporary risk modelsIn-hospital mortality rateMI hospitalizationST-segment elevation MIIndependent predictor of mortalityMortality risk predictionSystolic blood pressureMortality riskPredictors of mortalityHospital volumePatient prognosticationData RegistryRisk modelSimplified risk score
2024
Long-Term Outcomes of Subcutaneous Versus Transvenous Implantable Cardioverter Defibrillator Use Among Patients on Maintenance Dialysis
Pun P, Qin L, Minges K, Al-Khatib S, Friedman D. Long-Term Outcomes of Subcutaneous Versus Transvenous Implantable Cardioverter Defibrillator Use Among Patients on Maintenance Dialysis. Heart Rhythm 2024 PMID: 39615818, DOI: 10.1016/j.hrthm.2024.11.050.Peer-Reviewed Original ResearchHospital admissionAccess interventionsAssociated with decreased riskFee-for-serviceLongitudinal cohort studyMedicare claims dataAssociated with decreased risk of deathImplantable cardioverter defibrillator useNational Cardiovascular Data Registry ICD RegistryBurden of cardiac diseaseRisk of deathDialysis access interventionsDefibrillator useClaims dataElevated risk of sudden cardiac deathImplantable cardioverter defibrillatorLong-term outcomesRisk of sudden cardiac deathStabilized inverse probabilityDialysis patientsElevated riskInclusion criteriaTV-ICDS-ICDICD RegistryLong-Term Outcomes of Subcutaneous vs. Transvenous Implantable Cardioverter Defibrillator Use among Dialysis Patients
Pun P, Qin L, Minges K, Al-Khatib S, Friedman D. Long-Term Outcomes of Subcutaneous vs. Transvenous Implantable Cardioverter Defibrillator Use among Dialysis Patients. Journal Of The American Society Of Nephrology 2024, 35: 10.1681/asn.2024zhh3hejt. DOI: 10.1681/asn.2024zhh3hejt.Peer-Reviewed Original ResearchProcedure Volume and Outcomes With WATCHMAN Left Atrial Appendage Occlusion
Friedman D, Du C, Zimmerman S, Tan Z, Lin Z, Vemulapalli S, Kosinski A, Piccini J, Pereira L, Minges K, Faridi K, Masoudi F, Curtis J, Freeman J. Procedure Volume and Outcomes With WATCHMAN Left Atrial Appendage Occlusion. Circulation Cardiovascular Interventions 2024, 17: e013466. PMID: 38889251, PMCID: PMC11189610, DOI: 10.1161/circinterventions.123.013466.Peer-Reviewed Original ResearchConceptsVolume-outcome relationshipLikelihood of procedural successLeft atrial appendage occlusionProcedural successProcedure volumeAppendage occlusionNational Cardiovascular Data Registry LAAO RegistryVolume quartilesLeft atrial appendage occlusion devicesThree-level hierarchical generalized linear modelsMinimum volume thresholdsWatchman FLX deviceProcedural success rateHierarchical generalized linear modelsAssociated with outcomePhysician volumeWATCHMAN procedureFLX deviceOcclusion deviceVolume thresholdCardiovascular proceduresPhysiciansHospitalNational analysisSuccess ratePredicting 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, 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 relevanceDefibrillation Safety Margin Testing in Patients With Congenital Heart Disease Results From the NCDR
Prutkin JM, Wang Y, Escudero CA, Stephenson EA, Minges KE, Curtis JP, Hsu JC. Defibrillation Safety Margin Testing in Patients With Congenital Heart Disease Results From the NCDR. JACC Clinical Electrophysiology 2021, 7: 1145-1154. PMID: 33933411, DOI: 10.1016/j.jacep.2021.02.019.Peer-Reviewed Original ResearchConceptsCongenital heart diseaseLowest successful energyHospital stayNational Cardiovascular Data Registry ICD RegistryImplantable cardioverter-defibrillator insertionVentricular septal defectTetralogy of FallotHeart disease resultHospital complicationsHospital deathHospital outcomesMultivariable adjustmentEbstein's anomalyICD RegistryICD recipientsSeptal defectCommon ventricleHeart diseaseRetrospective analysisLower oddsGreat vesselsICD proceduresDisease resultsSuccessful energyICD generator
2020
Association Between Industry Payments to Physicians and Device Selection in ICD Implantation
Annapureddy AR, Henien S, Wang Y, Minges KE, Ross JS, Spatz ES, Desai NR, Peterson PN, Masoudi FA, Curtis JP. Association Between Industry Payments to Physicians and Device Selection in ICD Implantation. JAMA 2020, 324: 1755-1764. PMID: 33141208, PMCID: PMC7610190, DOI: 10.1001/jama.2020.17436.Peer-Reviewed Original ResearchConceptsCRT-D implantationCRT-D devicesCross-sectional studyNational Cardiovascular Data Registry ICD RegistryFirst-time ICDFirst-time implantationProportion of patientsEntire study cohortDevice selectionProportion of devicesICD implantationICD RegistryPrimary outcomeCardiac resynchronizationStudy cohortPatient groupMAIN OUTCOMEPatientsPhysiciansICDAbsolute differenceImplantationManufacturer CHigher total paymentsAssociationSurvival Following Implantable Cardioverter‐Defibrillator Implantation in Patients With Amyloid Cardiomyopathy
Higgins AY, Annapureddy AR, Wang Y, Minges KE, Lampert R, Rosenfeld LE, Jacoby DL, Curtis JP, Miller EJ, Freeman JV. Survival Following Implantable Cardioverter‐Defibrillator Implantation in Patients With Amyloid Cardiomyopathy. Journal Of The American Heart Association 2020, 9: e016038. PMID: 32867553, PMCID: PMC7726970, DOI: 10.1161/jaha.120.016038.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillator implantationCardioverter-defibrillator implantationNonischemic cardiomyopathyCardiac amyloidosisDiabetes mellitusCerebrovascular diseaseVentricular tachycardiaMultivariable Cox proportional hazards regression modelsCox proportional hazards regression modelProportional hazards regression modelsKaplan-Meier survival curvesCox proportional hazards modelPropensity-matched cohortOutcomes of patientsHazards regression modelsProportional hazards modelCause mortalityICD implantationRenal functionMultivariable analysisConclusions MortalityRisk factorsRegistry dataAmyloid cardiomyopathyHigh risk
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