Featured Publications
A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries
Bhasin S, Gill TM, Reuben DB, Latham NK, Ganz DA, Greene EJ, Dziura J, Basaria S, Gurwitz JH, Dykes PC, McMahon S, Storer TW, Gazarian P, Miller ME, Travison TG, Esserman D, Carnie MB, Goehring L, Fagan M, Greenspan SL, Alexander N, Wiggins J, Ko F, Siu AL, Volpi E, Wu AW, Rich J, Waring SC, Wallace RB, Casteel C, Resnick NM, Magaziner J, Charpentier P, Lu C, Araujo K, Rajeevan H, Meng C, Allore H, Brawley BF, Eder R, McGloin JM, Skokos EA, Duncan PW, Baker D, Boult C, Correa-de-Araujo R, Peduzzi P. A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries. New England Journal Of Medicine 2020, 383: 129-140. PMID: 32640131, PMCID: PMC7421468, DOI: 10.1056/nejmoa2002183.Peer-Reviewed Original ResearchConceptsSerious fall injuriesFall injuriesIntervention groupControl groupUsual careMultifactorial interventionRate of hospitalizationPrimary care practicesCluster-randomized trialCommunity-dwelling adultsFirst-event analysisYears of ageHealth care systemRate of fallElectronic health recordsBaseline characteristicsPrimary outcomeRandomized trialsMean ageEfficacy trialsIndividualized planCare practicesInjuryMultifactorial strategyEvent rates
2022
Engagement of older adults in STRIDE's multifactorial fall injury prevention intervention
McMahon SK, Greene EJ, Latham N, Peduzzi P, Gill TM, Bhasin S, Reuben DB. Engagement of older adults in STRIDE's multifactorial fall injury prevention intervention. Journal Of The American Geriatrics Society 2022, 70: 3116-3126. PMID: 35924574, PMCID: PMC9669158, DOI: 10.1111/jgs.17983.Peer-Reviewed Original ResearchConceptsMultifactorial fall prevention interventionFall prevention interventionsFall risk factorsPrevention interventionsRisk factorsOlder adultsFall prevention carePatient-clinician partnershipsInjury prevention interventionsPrevention actionsOlder adults' engagementPrevention careHome exercisesPragmatic trialCare levelCare plansParticipant engagementClinical practicePredictors of engagementInterventionAdultsMore participantsCliniciansFrequent contactAdults' engagement
2021
Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction
Brush JE, Hajduk AM, Greene EJ, Dreyer RP, Krumholz HM, Chaudhry SI. Sex Differences in Symptom Phenotypes Among Older Patients with Acute Myocardial Infarction. The American Journal Of Medicine 2021, 135: 342-349. PMID: 34715061, PMCID: PMC8901454, DOI: 10.1016/j.amjmed.2021.09.022.Peer-Reviewed Original ResearchMeSH KeywordsFemaleHospitalizationHumansMaleMyocardial InfarctionPhenotypeRisk FactorsSex CharacteristicsSex FactorsConceptsAcute myocardial infarctionMyocardial infarctionSymptom combinationsOlder patientsAcute myocardial infarction subgroupsAcute myocardial infarction admissionsMyocardial infarction subgroupsPatients 75 yearsMyocardial infarction admissionsSILVER-AMI StudySymptom phenotypeClinical studiesIndividual patientsMore symptomsPatientsInfarctionDiagnostic possibilitiesSymptomsWomenPerson interviewsMenCommon phenotypeSex differencesCliniciansPhenotype
2020
Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction
Brush JE, Krumholz HM, Greene EJ, Dreyer RP. Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2020, 13: e005948. PMID: 32063049, PMCID: PMC7041412, DOI: 10.1161/circoutcomes.119.005948.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBiological Variation, IndividualFemaleHealth Status DisparitiesHumansInterviews as TopicMaleMiddle AgedMyocardial InfarctionPatient AdmissionPhenotypePredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainSymptom AssessmentUnited StatesYoung AdultConceptsAcute myocardial infarctionMyocardial infarctionMedical recordsYoung womenDiagnosis of AMIObservational cohort studyMedical record abstractionSymptom phenotypeDiagnostic processAnalysis of symptomsVIRGO StudyCohort studyRecord abstractionIndividual patientsClinician's abilityDiagnosis rateStandardized interviewPhenotype subgroupsSymptomsSimilar findingsYoung adultsWomenMenInfarctionPatients
2017
Transition probabilities between changing sensitization levels, waitlist activity status and competing-risk kidney transplant outcomes using multi-state modeling
Kulkarni S, Hall I, Formica R, Thiessen C, Stewart D, Gan G, Greene E, Deng Y. Transition probabilities between changing sensitization levels, waitlist activity status and competing-risk kidney transplant outcomes using multi-state modeling. PLOS ONE 2017, 12: e0190277. PMID: 29287087, PMCID: PMC5747475, DOI: 10.1371/journal.pone.0190277.Peer-Reviewed Original ResearchConceptsTransplant probabilityTransplant outcomesActivity statusKidney transplant outcomesKAS implementationPost-KASWaitlist mortalityPatient characteristicsOPTN databaseMulti-state modelingStatistical differenceSensitization levelOutcomesTransplantCohortImpact outcomesCPRAStatus combinationsStatusMortalityWhitesSensitization