2024
Procedure 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 rate
2020
Stent selection among patients with chronic kidney disease: Results from the NCDR CathPCI Registry
Feldman DA, Shroff AR, Bao H, Curtis JP, Minges KE, Ardati AK. Stent selection among patients with chronic kidney disease: Results from the NCDR CathPCI Registry. Catheterization And Cardiovascular Interventions 2020, 96: 1213-1221. PMID: 31909543, DOI: 10.1002/ccd.28698.Peer-Reviewed Original ResearchConceptsChronic kidney diseasePercutaneous coronary interventionST-elevation myocardial infarctionDES usageBare metal stentsNCDR CathPCI RegistryCathPCI RegistryRenal functionKidney diseasePCI casesElective percutaneous coronary interventionAdvanced renal dysfunctionNormal renal functionCoronary stent placementCKD stageRenal dysfunctionCoronary interventionUse of DESMyocardial infarctionStent placementSubgroup analysisStent usageMetal stentsPatientsStent selection
2019
Association of Physician Specialty With Long-Term Implantable Cardioverter-Defibrillator Complication and Reoperations Rates
Chui PW, Wang Y, Ranasinghe I, Mitiku TY, Seto AH, Rosman L, Lampert R, Minges KE, Enriquez AD, Curtis JP. Association of Physician Specialty With Long-Term Implantable Cardioverter-Defibrillator Complication and Reoperations Rates. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005374. PMID: 31185734, PMCID: PMC7412734, DOI: 10.1161/circoutcomes.118.005374.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overClinical CompetenceDefibrillators, ImplantableElectric CountershockFee-for-Service PlansFemaleHumansIncidenceMaleMedicarePostoperative ComplicationsPractice Patterns, Physicians'RegistriesReoperationRisk AssessmentRisk FactorsSpecializationTime FactorsTreatment OutcomeUnited StatesConceptsLong-term device-related complicationsDevice-related complicationsICD implantationLong-term outcomesPhysician specialtyGeneral cardiologistsThoracic surgeonsHigh riskNational Cardiovascular Data Registry ICD RegistryLong-term adverse outcomesImplantable cardioverter defibrillator implantationPhysician specialty trainingCardioverter-defibrillator implantationCumulative incidence rateCase-mix adjusted ratesReoperation rateBackground PatientsConclusions PatientsICD RegistryPrimary outcomeAdverse outcomesIncidence rateInterventional cardiologistsAdjusted ratesReoperation
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 claimsPatientsCohortVena Caval Filter Utilization and Outcomes in Pulmonary Embolism Medicare Hospitalizations From 1999 to 2010
Bikdeli B, Wang Y, Minges KE, Desai NR, Kim N, Desai MM, Spertus JA, Masoudi FA, Nallamothu BK, Goldhaber SZ, Krumholz HM. Vena Caval Filter Utilization and Outcomes in Pulmonary Embolism Medicare Hospitalizations From 1999 to 2010. Journal Of The American College Of Cardiology 2016, 67: 1027-1035. PMID: 26940921, PMCID: PMC5322943, DOI: 10.1016/j.jacc.2015.12.028.Peer-Reviewed Original Research
2015
National Trends in Pulmonary Embolism Hospitalization Rates and Outcomes for Adults Aged ≥65 Years in the United States (1999 to 2010)
Minges KE, Bikdeli B, Wang Y, Kim N, Curtis JP, Desai MM, Krumholz HM. National Trends in Pulmonary Embolism Hospitalization Rates and Outcomes for Adults Aged ≥65 Years in the United States (1999 to 2010). The American Journal Of Cardiology 2015, 116: 1436-1442. PMID: 26409636, PMCID: PMC4841688, DOI: 10.1016/j.amjcard.2015.07.068.Peer-Reviewed Original ResearchConceptsHospitalization ratesMortality rateReadmission ratesBlack patientsPrincipal discharge diagnosis codeOlder adultsCause readmission rateHospital mortality rateProportion of patientsRetrospective cohort studyDischarge diagnosis codesSkilled nursing facilitiesNational trendsSignificant racial differencesHigh rateHome health careHospital stayAdults AgedCohort studyMore patientsTherapeutic advancesDiagnosis codesMedicare feeNursing facilitiesSignificant burden
2014
National Trends in US Hospital Admissions for Hyperglycemia and Hypoglycemia Among Medicare Beneficiaries, 1999 to 2011
Lipska KJ, Ross JS, Wang Y, Inzucchi SE, Minges K, Karter AJ, Huang ES, Desai MM, Gill TM, Krumholz HM. National Trends in US Hospital Admissions for Hyperglycemia and Hypoglycemia Among Medicare Beneficiaries, 1999 to 2011. JAMA Internal Medicine 2014, 174: 1116-1124. PMID: 24838229, PMCID: PMC4152370, DOI: 10.1001/jamainternmed.2014.1824.Peer-Reviewed Original Research
2011
Evaluation of a resistance training program for adults with or at risk of developing diabetes: an effectiveness study in a community setting
Minges KE, Cormick G, Unglik E, Dunstan DW. Evaluation of a resistance training program for adults with or at risk of developing diabetes: an effectiveness study in a community setting. International Journal Of Behavioral Nutrition And Physical Activity 2011, 8: 50. PMID: 21612648, PMCID: PMC3127967, DOI: 10.1186/1479-5868-8-50.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAustraliaBody CompositionCross-Sectional StudiesData CollectionDiabetes Mellitus, Type 2Evidence-Based PracticeFemaleFollow-Up StudiesHealth PromotionHumansLongitudinal StudiesMaleMiddle AgedMotor ActivityObesityRegression AnalysisResistance TrainingRetrospective StudiesTime FactorsWaist CircumferenceConceptsResistance training programType 2 diabetesWaist circumferenceUpper body strengthFunctional measuresBody strengthLower bodyMean waist circumferenceSignificant time effectTraining programCentral obesityPhysical functionWeek assessmentFavorable health benefitsDiabetesEffectiveness studiesStudy designConclusionsThese findingsRetrospective assessmentBaselineHealth benefitsCircumferenceSignificant decreaseLongitudinal studyFitness facilities