2018
Speed of Adoption of Immune Checkpoint Inhibitors of Programmed Cell Death 1 Protein and Comparison of Patient Ages in Clinical Practice vs Pivotal Clinical Trials
O’Connor J, Fessele KL, Steiner J, Seidl-Rathkopf K, Carson KR, Nussbaum NC, Yin ES, Adelson KB, Presley CJ, Chiang AC, Ross JS, Abernethy AP, Gross CP. Speed of Adoption of Immune Checkpoint Inhibitors of Programmed Cell Death 1 Protein and Comparison of Patient Ages in Clinical Practice vs Pivotal Clinical Trials. JAMA Oncology 2018, 4: e180798-e180798. PMID: 29800974, PMCID: PMC6143052, DOI: 10.1001/jamaoncol.2018.0798.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntibodies, Monoclonal, HumanizedCarcinoma, Non-Small-Cell LungCarcinoma, Renal CellClinical Trials as TopicFemaleFollow-Up StudiesHumansKidney NeoplasmsLung NeoplasmsMaleMiddle AgedNivolumabPractice Patterns, Physicians'PrognosisProgrammed Cell Death 1 ReceptorRetrospective StudiesConceptsNon-small cell lung cancerPivotal clinical trialsRenal cell carcinomaCell death 1 proteinEligible patientsImmune checkpoint inhibitorsDeath 1 proteinClinical trialsClinical practiceFDA approvalAgent treatmentCheckpoint inhibitorsAnti-PD-1 agentsFlatiron Health networkRetrospective cohort studyAge of patientsCell lung cancerClinical trial participantsCohort studyPatient ageYounger patientsMore patientsSuch patientsTrial evidenceCell carcinoma
2013
Hospital-Based, Acute Care Use Among Patients Within 30 Days of Discharge After Coronary Artery Bypass Surgery
Fox JP, Suter LG, Wang K, Wang Y, Krumholz HM, Ross JS. Hospital-Based, Acute Care Use Among Patients Within 30 Days of Discharge After Coronary Artery Bypass Surgery. The Annals Of Thoracic Surgery 2013, 96: 96-104. PMID: 23702228, PMCID: PMC3758868, DOI: 10.1016/j.athoracsur.2013.03.091.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCaliforniaCoronary Artery BypassCoronary Artery DiseaseEmergency Service, HospitalFemaleFollow-Up StudiesHumansIntensive Care UnitsLength of StayLinear ModelsMaleMiddle AgedMorbidityPatient DischargePatient ReadmissionPostoperative ComplicationsPostoperative PeriodPrognosisRecurrenceRetrospective StudiesRisk FactorsSurvival RateTime FactorsYoung AdultConceptsDays of dischargeAcute care needsCABG surgeryED visit ratesED visitsHospital readmissionReadmission ratesCare needsCoronary artery bypass graft surgeryVisit ratesArtery bypass graft surgeryCoronary artery bypass surgeryRisk-standardized readmission ratesAcute care ratesHospital 30 daysBypass graft surgeryAcute care useArtery bypass surgeryCongestive heart failureEmergency department visitsEmergency Department DatabasesChest discomfortGraft surgeryBypass surgeryHospital volumeRegional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure
Kulkarni VT, Ross JS, Wang Y, Nallamothu BK, Spertus JA, Normand SL, Masoudi FA, Krumholz HM. Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure. Circulation Cardiovascular Quality And Outcomes 2013, 6: 352-359. PMID: 23680965, PMCID: PMC5323047, DOI: 10.1161/circoutcomes.113.000214.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCardiologyCohort StudiesFemaleHealth Services AccessibilityHealth Services Needs and DemandHealthcare DisparitiesHeart FailureHospitalizationHumansLinear ModelsLogistic ModelsMaleMedicareMyocardial InfarctionOdds RatioPhysiciansPneumoniaPrognosisResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsUnited StatesWorkforceConceptsAcute myocardial infarctionHeart failureHospital referral regionsMortality riskLowest quintileMyocardial infarctionReferral regionsMedicare administrative claims dataCharacteristics of patientsRisk of deathAdministrative claims dataHierarchical logistic regression modelsLogistic regression modelsRate of mortalityRegional densityHighest quintileNumber of cardiologistsWorse outcomesClaims dataPatientsPneumoniaCardiologistsHospitalizationAdmissionQuintile
2010
Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures
Bernheim SM, Wang Y, Bradley EH, Masoudi FA, Rathore SS, Ross JS, Drye E, Krumholz HM. Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures. American Heart Journal 2010, 160: 943-950.e5. PMID: 21095284, PMCID: PMC3319386, DOI: 10.1016/j.ahj.2010.06.046.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsCross-Sectional StudiesFemaleHospitalizationHumansMaleMedicaidMedicareMyocardial InfarctionOutcome and Process Assessment, Health CarePlatelet Aggregation InhibitorsPrognosisQuality ImprovementQuality Indicators, Health CareRetrospective StudiesUnited StatesConceptsAcute myocardial infarctionProportion of patientsRelative contraindicationAngiotensin-converting enzyme inhibitorTreatment of patientsMedicaid Services core measuresQuality improvement projectPublic reportingCross-sectional analysisMyocardial infarctionMedicare patientsHospital careΒ-blockersAMI admissionsPatientsInsufficient evidenceEnzyme inhibitorsTreatment ratesBetter careContraindicationsMedicaid ServicesData cohortCore measuresTreatmentImprovement projectScheduled and unscheduled hospital readmissions among patients with diabetes.
Kim H, Ross JS, Melkus GD, Zhao Z, Boockvar K. Scheduled and unscheduled hospital readmissions among patients with diabetes. The American Journal Of Managed Care 2010, 16: 760-7. PMID: 20964472, PMCID: PMC3024140.Peer-Reviewed Original ResearchConceptsUnscheduled readmissionsIndex hospitalizationHigher comorbidity burdenState Inpatient DatasetPatients 80 yearsPatients 50 yearsHistory of hospitalizationAcute care hospitalsPrevention Quality IndicatorsUnscheduled hospital readmissionComorbidity burdenOlder patientsCare hospitalClinical factorsHospital readmissionIll patientsInpatient datasetTransition careReadmissionHospitalizationPatientsDiabetesPublic insuranceHealthcare ResearchPotential disparitiesThe relationship between systolic blood pressure on admission and mortality in older patients with heart failure
Vidán MT, Bueno H, Wang Y, Schreiner G, Ross JS, Chen J, Krumholz HM. The relationship between systolic blood pressure on admission and mortality in older patients with heart failure. European Journal Of Heart Failure 2010, 12: 148-155. PMID: 20083624, PMCID: PMC2807767, DOI: 10.1093/eurjhf/hfp195.Peer-Reviewed Original ResearchConceptsAdmission systolic blood pressureSystolic blood pressureHeart failureBlood pressureOlder patientsNational Heart Failure ProjectHigher systolic blood pressureInitial systolic blood pressureHeart Failure ProjectMultivariable logistic regressionPrevious hypertensionSBP 90Ventricular dysfunctionClinical factorsIndependent associationOdds ratioMedicare patientsMortality ratePatientsMmHgLogistic regressionMortalityAdmissionSubgroupsInverse relationship