Featured Publications
Strategy for addressing research-site overlap in pragmatic clinical trials: lessons learned from the NIH-DOD-VA Pain Management Collaboratory (PMC)
Geda M, George SZ, Burgess DJ, Scarton DV, Roddy WT, Gordon KS, Pasquina PF, Brandt CA, Kerns RD, Peduzzi P. Strategy for addressing research-site overlap in pragmatic clinical trials: lessons learned from the NIH-DOD-VA Pain Management Collaboratory (PMC). Trials 2020, 21: 1021. PMID: 33308289, PMCID: PMC7731473, DOI: 10.1186/s13063-020-04941-8.Peer-Reviewed Original ResearchMeSH KeywordsDelivery of Health CareHumansNational Institutes of Health (U.S.)Pain ManagementUnited StatesConceptsPain Management CollaboratoryPragmatic clinical trialsVA Medical CenterMilitary treatment facilitiesClinical trialsExclusion criteriaVeterans AffairsHealth care systemPain managementNonpharmacological approachesPragmatic trialMedical CenterEligibility criteriaTrial settingsTrial integrityCare systemNational InstituteTrialsRecruitment methodsRecruitment strategiesRecruitment planRecruitment sites
2021
Assessing the impact of the COVID-19 pandemic on pragmatic clinical trial participants
Coleman BC, Purcell N, Geda M, Luther SL, Peduzzi P, Kerns RD, Seal KH, Burgess DJ, Rosen MI, Sellinger J, Salsbury SA, Gelman H, Brandt CA, Edwards RR. Assessing the impact of the COVID-19 pandemic on pragmatic clinical trial participants. Contemporary Clinical Trials 2021, 111: 106619. PMID: 34775101, PMCID: PMC8585559, DOI: 10.1016/j.cct.2021.106619.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19HumansPandemicsPragmatic Clinical Trials as TopicQuarantineSocial SupportUnited StatesConceptsPain Management CollaboratoryCOVID-19 pandemicCOVID-19 infection statusClinical researchInfection statusPragmatic clinical trialsIntegrated care modelClinical trial participantsMilitary Health SystemFuture public health emergenciesClinical research teamPublic health emergencyPain managementNonpharmacological approachesPragmatic trialClinical trialsCare modelTrial participantsPain researchHealth departmentsThree-point scaleStudy participantsHealth systemHealth emergencyPeriod of quarantineDevelopment and Validation of a Risk Prediction Model for 1‐Year Readmission Among Young Adults Hospitalized for Acute Myocardial Infarction
Dreyer RP, Raparelli V, Tsang SW, D’Onofrio G, Lorenze N, Xie CF, Geda M, Pilote L, Murphy TE. Development and Validation of a Risk Prediction Model for 1‐Year Readmission Among Young Adults Hospitalized for Acute Myocardial Infarction. Journal Of The American Heart Association 2021, 10: e021047. PMID: 34514837, PMCID: PMC8649501, DOI: 10.1161/jaha.121.021047.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPrior acute myocardial infarctionRisk prediction modelMyocardial infarctionYoung adultsDepressive symptomsLonger inpatient lengthPredictors of readmissionFinal risk modelYear of dischargeBetter physical healthAMI severityBackground ReadmissionHospital complicationsVIRGO StudyCause readmissionHospital lengthHospital dischargeYounger patientsDevelopment of interventionsDiabetes mellitusHeart failurePrimary outcomeConclusions WomenMean ageFalls in older adults after hospitalization for acute myocardial infarction
Goldstein DW, Hajduk AM, Song X, Tsang S, Geda M, McClurken JB, Tinetti ME, Krumholz HM, Chaudhry SI. Falls in older adults after hospitalization for acute myocardial infarction. Journal Of The American Geriatrics Society 2021, 69: 3476-3485. PMID: 34383963, PMCID: PMC8882265, DOI: 10.1111/jgs.17398.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionSerious fallsOlder patientsMyocardial infarctionRisk factorsAge 75Older adultsMedical record adjudicationLonger hospital stayMonths of dischargeProspective cohort studyMedical record reviewSelf-reported fallsAdults age 75Logistic regression analysisAcademic medical centerHospital stayCohort studyClinical factorsRecord reviewFunctional mobilityNew medicationsFall riskMedical CenterImpaired mobilityDevelopment and Implementation of the Military Treatment Facility Engagement Committee (MTFEC) to Support Pragmatic Clinical Trials in the Military Health System
Scarton DV, Roddy WT, Taylor JA, Geda M, Brandt CA, Peduzzi P, Kerns RD, Pasquina PF. Development and Implementation of the Military Treatment Facility Engagement Committee (MTFEC) to Support Pragmatic Clinical Trials in the Military Health System. Military Medicine 2021, 186: 70-75. PMID: 33499543, PMCID: PMC7980475, DOI: 10.1093/milmed/usaa368.Peer-Reviewed Original ResearchConceptsPain Management CollaboratoryPragmatic clinical trialsMilitary treatment facilitiesHealth care systemPain managementClinical trialsDOD health care systemVA health care systemCare systemChronic pain managementService membersTraumatic brain injuryMilitary Health SystemMilitary service membersChronic painNonpharmacological approachesBrain injuryLimb lossClinical practiceHealth systemCoordinating CenterTrialsVA programsNational InstituteDepartment of Defense180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study
Dodson JA, Hajduk AM, Murphy TE, Geda M, Krumholz HM, Tsang S, Nanna MG, Tinetti ME, Ouellet G, Sybrant D, Gill TM, Chaudhry SI. 180-day readmission risk model for older adults with acute myocardial infarction: the SILVER-AMI study. Open Heart 2021, 8: e001442. PMID: 33452007, PMCID: PMC7813425, DOI: 10.1136/openhrt-2020-001442.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionReadmission risk modelSelf-reported health statusMyocardial infarctionFunctional mobilityOlder adultsHealth statusDays of AMIFirst diastolic blood pressureChronic obstructive pulmonary diseaseIschemic ECG changesProspective cohort studyDiastolic blood pressureObstructive pulmonary diseaseLength of stayInitial heart rateFinal risk modelSILVER-AMI StudyRisk modelInitial hemoglobinCohort studyReadmission ratesBlood pressureEjection fractionHeart failure
2019
Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study.
Dodson JA, Hajduk AM, Geda M, Krumholz HM, Murphy TE, Tsang S, Tinetti ME, Nanna MG, McNamara R, Gill TM, Chaudhry SI. Predicting 6-Month Mortality for Older Adults Hospitalized With Acute Myocardial Infarction: A Cohort Study. Annals Of Internal Medicine 2019, 172: 12-21. PMID: 31816630, PMCID: PMC7695040, DOI: 10.7326/m19-0974.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPost-AMI mortalityFunctional impairmentOlder adultsCohort studyMean ageMyocardial infarctionPatient-reported health statusNet reclassification improvement indexProspective cohort studyParticipants' mean ageFinal risk modelMobility impairmentsGood discriminatory abilityRisk modelChart reviewHospital dischargePrognostic utilityBlood InstituteClinical variablesNational HeartHigh prevalenceHealth statusMortalityYounger counterpartsSex-Based Differences in Presentation, Treatment, and Complications Among Older Adults Hospitalized for Acute Myocardial Infarction
Nanna MG, Hajduk AM, Krumholz HM, Murphy TE, Dreyer RP, Alexander KP, Geda M, Tsang S, Welty FK, Safdar B, Lakshminarayan DK, Chaudhry SI, Dodson JA. Sex-Based Differences in Presentation, Treatment, and Complications Among Older Adults Hospitalized for Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005691. PMID: 31607145, PMCID: PMC6913190, DOI: 10.1161/circoutcomes.119.005691.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overComorbidityDisability EvaluationFemaleHealth Status DisparitiesHealthcare DisparitiesHumansLife StyleMaleMyocardial RevascularizationNon-ST Elevated Myocardial InfarctionPatient AdmissionPrevalenceProspective StudiesRisk AssessmentRisk FactorsSex FactorsSocial Determinants of HealthST Elevation Myocardial InfarctionTime FactorsTreatment OutcomeUnited StatesConceptsAcute myocardial infarctionSex-based differencesPercutaneous coronary interventionFunctional impairmentOlder adultsHospital complicationsCoronary interventionOlder patientsCoronary diseaseMyocardial infarctionAge-related functional impairmentsAge-associated functional impairmentsLower ratesPrior coronary diseaseObstructive coronary diseaseProspective observational studyNSTEMI subgroupSTEMI subgroupUnderwent revascularizationAcute myocardialChest painClinical presentationAMI subgroupRisk factorsHigh prevalenceThirty-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
2018
Sex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics
Gupta A, Barrabes JA, Strait K, Bueno H, Porta‐Sánchez A, Acosta‐Vélez J, Lidón R, Spatz E, Geda M, Dreyer RP, Lorenze N, Lichtman J, D'Onofrio G, Krumholz HM. Sex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics. Journal Of The American Heart Association 2018, 7: e007021. PMID: 29514807, PMCID: PMC5907538, DOI: 10.1161/jaha.117.007021.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetElectrocardiographyFemaleHealthcare DisparitiesHumansMaleMiddle AgedMyocardial ReperfusionPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainST Elevation Myocardial InfarctionTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesYoung AdultConceptsST-segment elevation myocardial infarctionElectrocardiographic characteristicsMyocardial infarctionReperfusion delayYounger patientsVentricular hypertrophyST elevationPrehospital ECGLateral leadsMultivariable logistic regression modelTimeliness of reperfusionVoltage criteriaElevation myocardial infarctionLeft ventricular hypertrophyAcute myocardial infarctionYears of ageLogistic regression modelsSex differencesClinical characteristicsCohort studyElectrocardiographic correlatesMultivariable analysisFemale sexSpanish hospitalsReperfusion guidelines
2017
Comparison of Electrocardiographic Characteristics in Men Versus Women ≤ 55 Years With Acute Myocardial Infarction (a Variation in Recovery: Role of Gender on Outcomes of Young Acute Myocardial Infarction Patients Substudy)
Barrabés JA, Gupta A, Porta-Sánchez A, Strait KM, Acosta-Vélez JG, D'Onofrio G, Lidón RM, Geda M, Dreyer RP, Lorenze NP, Lichtman JH, Spertus JA, Bueno H, Krumholz HM. Comparison of Electrocardiographic Characteristics in Men Versus Women ≤ 55 Years With Acute Myocardial Infarction (a Variation in Recovery: Role of Gender on Outcomes of Young Acute Myocardial Infarction Patients Substudy). The American Journal Of Cardiology 2017, 120: 1727-1733. PMID: 28865896, DOI: 10.1016/j.amjcard.2017.07.106.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionST-segment depressionElectrocardiographic presentationMyocardial infarctionQ wavesAnterior ST segment depressionST-segment elevation myocardial infarction diagnosisOutcome of AMIYoung AMI patientsMen Versus WomenST-segment elevationLonger QTc intervalsIntraventricular conduction disturbancesCentral core labNegative T wavesAbnormal Q wavesGender-related differencesBaseline characteristicsContemporary registryAnterior leadsMyocardial infarction diagnosisYounger patientsQTc intervalAMI patientsWorse prognosisSex Differences in Inflammatory Markers and Health Status Among Young Adults With Acute Myocardial Infarction
Lu Y, Zhou S, Dreyer RP, Spatz ES, Geda M, Lorenze NP, D'Onofrio G, Lichtman JH, Spertus JA, Ridker PM, Krumholz HM. Sex Differences in Inflammatory Markers and Health Status Among Young Adults With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003470. PMID: 28228461, PMCID: PMC5459381, DOI: 10.1161/circoutcomes.116.003470.Peer-Reviewed Original ResearchMeSH Keywords1-Alkyl-2-acetylglycerophosphocholine EsteraseAdolescentAdultAge of OnsetBiomarkersChi-Square DistributionComorbidityC-Reactive ProteinFemaleHealth Status DisparitiesHumansInflammation MediatorsLinear ModelsMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionProspective StudiesRisk AssessmentRisk FactorsSex FactorsSocioeconomic FactorsUnited StatesUp-RegulationYoung AdultConceptsHigh-sensitivity C-reactive proteinAcute myocardial infarctionHigher inflammatory levelsInflammatory markersPoor health statusHealth statusYoung womenMyocardial infarctionInflammatory levelsTargeted anti-inflammatory treatmentsElevated inflammatory markersResidual cholesterol riskResidual inflammatory riskSex differencesAnti-inflammatory treatmentAnti-inflammatory therapyC-reactive proteinHigher mortality riskYoung menPhospholipase A2Years of ageCardiovascular outcomesMultivariable adjustmentPatient characteristicsSecondary prevention
2016
Gender differences in physical activity following acute myocardial infarction in adults: A prospective, observational study
Minges KE, Strait KM, Owen N, Dunstan DW, Camhi SM, Lichtman J, Geda M, Dreyer RP, Bueno H, Beltrame JF, Curtis JP, Krumholz HM. Gender differences in physical activity following acute myocardial infarction in adults: A prospective, observational study. European Journal Of Preventive Cardiology 2016, 24: 192-203. PMID: 27885060, DOI: 10.1177/2047487316679905.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAustraliaCardiac RehabilitationChi-Square DistributionExerciseExercise TherapyFemaleHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedMyocardial InfarctionOdds RatioPatient ComplianceProspective StudiesRisk FactorsSex FactorsSpainTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsAcute myocardial infarctionPost-acute myocardial infarctionMyocardial infarctionPhysical activityRegular physical activity participationYoung AMI Patients (VIRGO) studyPhysical activity recommendationsAmerican Heart AssociationPhysical activity trajectoriesNon-white raceMyocardial infarction recoveryPhysical activity participationGender differencesHospital dischargeHeart AssociationLifestyle behaviorsActivity recommendationsObservational studyInfarctionAustralian hospitalsTargeted interventionsOne monthPatientsTime pointsLonger durationEditor’s Choice-Sex differences in young patients with acute myocardial infarction: A VIRGO study analysis
Bucholz EM, Strait KM, Dreyer RP, Lindau ST, D’Onofrio G, Geda M, Spatz ES, Beltrame JF, Lichtman JH, Lorenze NP, Bueno H, Krumholz HM. Editor’s Choice-Sex differences in young patients with acute myocardial infarction: A VIRGO study analysis. European Heart Journal Acute Cardiovascular Care 2016, 6: 610-622. PMID: 27485141, PMCID: PMC5459677, DOI: 10.1177/2048872616661847.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionYoung womenTime of AMIST-segment elevation myocardial infarctionHigh clinical risk scoreSegment elevation myocardial infarctionChronic obstructive pulmonary diseaseYoung AMI patientsCardiovascular risk factorsClinical risk scorePre-hospital delayProspective cohort studyCongestive heart failureElevation myocardial infarctionObstructive pulmonary diseaseHigh-risk populationYoung menMental health statusElectrocardiogram findingsMorbid obesityCardiovascular riskCohort studyRenal failureYounger patients
2015
Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction The VIRGO Study
Leifheit-Limson EC, D’Onofrio G, Daneshvar M, Geda M, Bueno H, Spertus JA, Krumholz HM, Lichtman JH. Sex Differences in Cardiac Risk Factors, Perceived Risk, and Health Care Provider Discussion of Risk and Risk Modification Among Young Patients With Acute Myocardial Infarction The VIRGO Study. Journal Of The American College Of Cardiology 2015, 66: 1949-1957. PMID: 26515996, PMCID: PMC4628727, DOI: 10.1016/j.jacc.2015.08.859.Peer-Reviewed Original ResearchConceptsCardiac risk factorsAcute myocardial infarctionHealth care provider discussionsRisk modificationRisk factorsHeart diseaseHealth care providersProvider discussionsVIRGO StudyYounger patientsMyocardial infarctionCare providersSignificant cardiac risk factorsYoung AMI patientsPatients age 18Heart disease riskRisk factor prevalenceSelf-perceived riskModified Poisson regressionSex differencesFactor prevalenceAMI patientsCardiac riskSpanish hospitalsProvider feedbackFrequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study)
Gupta A, Chui P, Zhou S, Spertus JA, Geda M, Lorenze N, Lee I, Onofrio G, Lichtman JH, Alexander KP, Krumholz HM, Curtis JP. Frequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study). The American Journal Of Cardiology 2015, 116: 1-7. PMID: 25937348, PMCID: PMC4466069, DOI: 10.1016/j.amjcard.2015.03.032.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge DistributionAngioplasty, Balloon, CoronaryAnticoagulantsAntithrombinsBody Mass IndexCohort StudiesFemaleHemorrhageHeparinHirudinsHumansMaleMiddle AgedMyocardial InfarctionPeptide FragmentsPercutaneous Coronary InterventionPlatelet Glycoprotein GPIIb-IIIa ComplexPrevalenceRecombinant ProteinsRisk AssessmentRisk FactorsSex DistributionTreatment OutcomeUnited StatesConceptsPercutaneous coronary interventionGlycoprotein IIb/IIIa inhibitorsIIb/IIIa inhibitorsExcess dosingAcute myocardial infarctionCoronary interventionMultivariable analysisMyocardial infarctionUnderwent Percutaneous Coronary InterventionLower body weightOlder patientsYounger patientsUnfractionated heparinMedical recordsUnivariate analysisAnticoagulant agentsAnticoagulant drugsBody weightPatientsDosingYounger ageLogistic regressionYoung womenAnticoagulantsGender-based differencesDepressive Symptoms in Younger Women and Men With Acute Myocardial Infarction: Insights From the VIRGO Study
Smolderen KG, Strait KM, Dreyer RP, D'Onofrio G, Zhou S, Lichtman JH, Geda M, Bueno H, Beltrame J, Safdar B, Krumholz HM, Spertus JA. Depressive Symptoms in Younger Women and Men With Acute Myocardial Infarction: Insights From the VIRGO Study. Journal Of The American Heart Association 2015, 4: e001424. PMID: 25836055, PMCID: PMC4579927, DOI: 10.1161/jaha.114.001424.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionDepressive symptomsLifetime historyMyocardial infarctionRisk factorsYoung acute myocardial infarctionYoung AMI Patients (VIRGO) studyMore cardiovascular risk factorsYoung womenCardiovascular risk factorsTime of admissionAdverse medical outcomesMore depressive symptomsLow socioeconomic profileAMI severityVIRGO StudyCardiovascular riskChart abstractionYounger patientsClinical profileRelevant sex differencesPatient profilesAMI admissionsMedical outcomesPatients
2014
Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study
Dodson JA, Geda M, Krumholz HM, Lorenze N, Murphy TE, Allore HG, Charpentier P, Tsang SW, Acampora D, Tinetti ME, Gill TM, Chaudhry SI. Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study. BMC Health Services Research 2014, 14: 506. PMID: 25370536, PMCID: PMC4239317, DOI: 10.1186/s12913-014-0506-4.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHealth status declineOlder patientsRisk factorsGeriatric impairmentsHospital readmissionOlder adultsDetailed medical record abstractionStatus declineDiagnostic study resultsPost-AMI outcomesProportion of patientsProspective cohort studyMedical record abstractionAMI studyHealth status measuresClinical characteristicsCohort studyRecord abstractionAdverse outcomesMyocardial infarctionAcademic hospitalHospital assessmentMultivariable regressionStatus measuresTrends in Acute Myocardial Infarction in Young Patients and Differences by Sex and Race, 2001 to 2010
Gupta A, Wang Y, Spertus JA, Geda M, Lorenze N, Nkonde-Price C, D'Onofrio G, Lichtman JH, Krumholz HM. Trends in Acute Myocardial Infarction in Young Patients and Differences by Sex and Race, 2001 to 2010. Journal Of The American College Of Cardiology 2014, 64: 337-345. PMID: 25060366, PMCID: PMC4415523, DOI: 10.1016/j.jacc.2014.04.054.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionLength of stayHospital mortalityHospitalization ratesClinical characteristicsAge groupsAMI hospitalization ratesYounger patientsMyocardial infarctionLonger LOSNationwide Inpatient Sample dataYoung womenU.S. hospital dischargesPrevalence of comorbiditiesPrincipal discharge diagnosisNational Inpatient SampleSex differencesContemporary longitudinal dataLarge national datasetMore comorbiditiesHospital dischargeDischarge diagnosisInpatient SampleMortality rateAge 30