2021
A Clinical Decision Aid to Support Personalized Treatment Selection for Patients with Clinical T1 Renal Masses: Results from a Multi-institutional Competing-risks Analysis
Psutka SP, Gulati R, Jewett MAS, Fadaak K, Finelli A, Legere L, Morgan TM, Pierorazio PM, Allaf ME, Herrin J, Lohse CM, Thompson R, Boorjian SA, Atwell TD, Schmit GD, Costello BA, Shah ND, Leibovich BC. A Clinical Decision Aid to Support Personalized Treatment Selection for Patients with Clinical T1 Renal Masses: Results from a Multi-institutional Competing-risks Analysis. European Urology 2021, 81: 576-585. PMID: 34862099, PMCID: PMC10351331, DOI: 10.1016/j.eururo.2021.11.002.Peer-Reviewed Original ResearchConceptsCancer-specific mortalityRenal cortical massesRadical nephrectomyPartial nephrectomyActive surveillancePersonalized treatment selectionClavien gradeRisk calculatorThermal ablationTreatment selectionEastern Cooperative Oncology Group performance statusClinical T1 renal massesSurgeon/hospital volumeHigh-volume referral centerInitial radical nephrectomyCharlson Comorbidity IndexCompeting-risks regressionConsecutive adult patientsGlomerular filtration rateClavien grade 3Risk of deathBody mass indexT1 renal massesRisk of mortalityClinical decision aidReal-world Cardiovascular Outcomes Associated With Degarelix vs Leuprolide for Prostate Cancer Treatment
Wallach JD, Deng Y, McCoy RG, Dhruva SS, Herrin J, Berkowitz A, Polley EC, Quinto K, Gandotra C, Crown W, Noseworthy P, Yao X, Shah ND, Ross JS, Lyon TD. Real-world Cardiovascular Outcomes Associated With Degarelix vs Leuprolide for Prostate Cancer Treatment. JAMA Network Open 2021, 4: e2130587. PMID: 34677594, PMCID: PMC8536955, DOI: 10.1001/jamanetworkopen.2021.30587.Peer-Reviewed Original ResearchConceptsMajor adverse cardiovascular eventsSecondary end pointsMyocardial infarctionClinical trialsCardiovascular diseaseProstate cancerCardiovascular eventsEnd pointRisk of MACELarge US administrative claims databasePropensity-matched cohort studyUS administrative claims databasePropensity score-matched patientsAdverse cardiovascular eventsPrimary end pointAdministrative claims databaseProportional hazards regressionRandomized clinical trialsAdministrative claims dataTrial eligibility criteriaMedicare Advantage beneficiariesProstate cancer treatmentReal-world evidenceElectronic health recordsCardiovascular outcomesComparative Risk of Serious Infections With Tumor Necrosis Factor α Antagonists vs Vedolizumab in Patients With Inflammatory Bowel Diseases
Singh S, Heien HC, Herrin J, Dulai PS, Sangaralingham L, Shah ND, Sandborn WJ. Comparative Risk of Serious Infections With Tumor Necrosis Factor α Antagonists vs Vedolizumab in Patients With Inflammatory Bowel Diseases. Clinical Gastroenterology And Hepatology 2021, 20: e74-e88. PMID: 33640480, PMCID: PMC8384969, DOI: 10.1016/j.cgh.2021.02.032.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseSerious infectionsMarginal structural Cox proportional hazards modelsCox proportional hazards modelBaseline disease characteristicsRetrospective cohort studyAdministrative claims databaseProportional hazards modelTime-varying useCohort studyBowel diseaseTreatment initiationUlcerative colitisHealthcare utilizationClaims databaseDisease characteristicsTumor necrosisVedolizumabLower riskHazards modelPatientsInfectionAntagonistInsurance coverageRisk
2020
Fewer gastrointestinal bleeds with ticagrelor and prasugrel compared with clopidogrel in patients with acute coronary syndrome following percutaneous coronary intervention
Abraham NS, Yang EH, Noseworthy PA, Inselman J, Yao X, Herrin J, Sangaralingham LR, Ngufor C, Shah ND. Fewer gastrointestinal bleeds with ticagrelor and prasugrel compared with clopidogrel in patients with acute coronary syndrome following percutaneous coronary intervention. Alimentary Pharmacology & Therapeutics 2020, 52: 646-654. PMID: 32657466, PMCID: PMC8183594, DOI: 10.1111/apt.15790.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedClopidogrelCohort StudiesFemaleGastrointestinal HemorrhageHumansMaleMiddle AgedPercutaneous Coronary InterventionPlatelet Aggregation InhibitorsPostoperative ComplicationsPrasugrel HydrochlorideRetrospective StudiesThromboembolismTicagrelorTreatment OutcomeUnited StatesConceptsPercutaneous coronary interventionAcute coronary syndromeGIB ratesGIB riskCoronary syndromeGastrointestinal bleedingSTEMI patientsCoronary interventionHazard ratioMajor adverse cardiac eventsRisk reductionCox proportional hazards modelNSTE-ACS patientsAdverse cardiac eventsMajor bleeding eventsConfidence intervalsInverse probability treatmentProportional hazards modelMedicare Advantage enrolleesBleeding eventsClopidogrel prescriptionGIB eventsNSTE-ACSGastrointestinal bleedBaseline characteristicsPatient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm
Smith LB, Desai NR, Dowd B, Everhart A, Herrin J, Higuera L, Jeffery MM, Jena AB, Ross JS, Shah ND, Karaca-Mandic P. Patient and provider-level factors associated with changes in utilization of treatments in response to evidence on ineffectiveness or harm. International Journal Of Health Economics And Management 2020, 20: 299-317. PMID: 32350680, PMCID: PMC7725279, DOI: 10.1007/s10754-020-09282-2.Peer-Reviewed Original ResearchConceptsPermanent atrial fibrillationType 2 diabetesAtrial fibrillationPermanent atrial fibrillation patientsProvider-level factorsAtrial fibrillation patientsEffective new therapiesPrimary care providersUse of medicationsProvider-level characteristicsUtilization of treatmentHigh-quality health careDronedarone useInterrupted time-series regression modelsFibrillation patientsMedication useDiabetes patientsProvider characteristicsCare providersMedicare feeNew therapiesService claimsFemale providersPatientsMedications
2019
Prevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project
Mahajan S, Zhang D, He S, Lu Y, Gupta A, Spatz ES, Lu J, Huang C, Herrin J, Liu S, Yang J, Wu C, Cui J, Zhang Q, Li X, Nasir K, Zheng X, Krumholz HM, Li J, Dong Z, Jiang B, Zhang Y, Liu Y, Meng Y, Xi Y, Tian Y, Fu Y, Liu T, Yan S, Jin L, Wang J, Xu X, Xing X, Zhang L, Fang X, Xu Y, Xu C, Fan L, Qi M, Qi J, Li J, Liu Q, Feng Y, Wang J, Wen H, Xu J, He J, Jiang C, Yang C, Yu Y, Tashi Z, Hu Z, Zhang J, Li X, Ma S, Ma Y, Huang Y, Zhang Y, Shen J. Prevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project. Journal Of The American Heart Association 2019, 8: e012954. PMID: 31566101, PMCID: PMC6806046, DOI: 10.1161/jaha.119.012954.Peer-Reviewed Original ResearchConceptsMillion Persons ProjectPrior cardiovascular eventsBody mass indexAntihypertensive medicationsDiastolic hypertensionCardiovascular eventsDiabetes mellitusMass indexIsolated diastolic hypertensionDiastolic blood pressureSelf-reported diagnosisTreatment of peoplePersons ProjectBlood pressureTreatment patternsHypertensionLeast collegeHigher likelihoodMellitusMedicationsPrevalenceTreatmentDiagnosisSubstantial numberCurrent useDisparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT
Shahu A, Herrin J, Dhruva SS, Desai NR, Davis BR, Krumholz HM, Spatz ES. Disparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT. Journal Of The American Heart Association 2019, 8: e012277. PMID: 31362591, PMCID: PMC6761647, DOI: 10.1161/jaha.119.012277.Peer-Reviewed Original ResearchConceptsBlood pressure controlLow-income sitesCardiovascular outcomesPressure controlALLHAT participantsPoor blood pressure controlEnd-stage renal diseaseHospitalization/mortalityAdverse cardiovascular eventsCardiovascular risk factorsWorse cardiovascular outcomesHigh blood pressureStandardized treatment protocolRandomized clinical trialsBackground Observational studiesLow socioeconomic statusHighest income quintileAngina hospitalizationCardiovascular eventsCause mortalityCoronary revascularizationClinical characteristicsBlood pressureRenal diseaseClinical outcomesEffect of Collaborative Telerehabilitation on Functional Impairment and Pain Among Patients With Advanced-Stage Cancer
Cheville AL, Moynihan T, Herrin J, Loprinzi C, Kroenke K. Effect of Collaborative Telerehabilitation on Functional Impairment and Pain Among Patients With Advanced-Stage Cancer. JAMA Oncology 2019, 5: 644-652. PMID: 30946436, PMCID: PMC6512772, DOI: 10.1001/jamaoncol.2019.0011.Peer-Reviewed Original ResearchConceptsPharmacological pain managementAdvanced-stage cancerArm 2Pain managementQuality of lifePain interferenceBrief Pain InventoryAcademic medical centerHealth care systemHousehold ambulatorsHospital lengthStage IIICHome dischargeMost patientsMonth 3Pain InventoryPostacute careArm 3Blinded assessmentCollaborative careControl armClinical trialsCare teamFunctional impairmentHematologic cancers
2017
Impact of Telemonitoring on Health Status
Jayaram NM, Khariton Y, Krumholz HM, Chaudhry SI, Mattera J, Tang F, Herrin J, Hodshon B, Spertus JA. Impact of Telemonitoring on Health Status. Circulation Cardiovascular Quality And Outcomes 2017, 10: e004148. PMID: 29237746, PMCID: PMC5776725, DOI: 10.1161/circoutcomes.117.004148.Peer-Reviewed Original ResearchConceptsKansas City Cardiomyopathy QuestionnaireUsual careHealth statusHeart failureKCCQ overall summary scoreRecent heart failure hospitalizationDisease-specific health statusKCCQ overall summaryHeart failure hospitalizationWeeks of dischargeRandomized clinical trialsOverall summary scoreKCCQ scoresNoninvasive TelemonitoringFailure hospitalizationBaseline characteristicsSecondary outcomesTreatment armsClinical trialsSummary scoresPatientsSubscale scoresCareHospitalizationScores
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 claimsPatientsCohort
2015
Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study
Krumholz HM, Chaudhry SI, Spertus JA, Mattera JA, Hodshon B, Herrin J. Do Non-Clinical Factors Improve Prediction of Readmission Risk? Results From the Tele-HF Study. JACC Heart Failure 2015, 4: 12-20. PMID: 26656140, PMCID: PMC5459404, DOI: 10.1016/j.jchf.2015.07.017.Peer-Reviewed Original ResearchConceptsReadmission ratesPatient-reported informationHeart failureHealth statusReadmission riskC-statisticRisk scorePsychosocial variablesMedical record abstractionWeeks of dischargeReadmission risk modelNon-clinical factorsCandidate risk factorsReadmission risk predictionRecord abstractionClinical variablesPatient interviewsMedical recordsRisk factorsPatientsPsychosocial informationPsychosocial characteristicsTelephone interviewsRisk predictionScoresAssociation of Physician Certification in Interventional Cardiology With In-Hospital Outcomes of Percutaneous Coronary Intervention
Fiorilli PN, Minges KE, Herrin J, Messenger JC, Ting HH, Nallamothu BK, Lipner RS, Hess BJ, Holmboe ES, Brennan JJ, Curtis JP. Association of Physician Certification in Interventional Cardiology With In-Hospital Outcomes of Percutaneous Coronary Intervention. Circulation 2015, 132: 1816-1824. PMID: 26384518, PMCID: PMC4641797, DOI: 10.1161/circulationaha.115.017523.Peer-Reviewed Original ResearchConceptsEmergency coronary artery bypassPercutaneous coronary interventionCoronary artery bypassArtery bypassVascular complicationsHospital mortalityEnd pointHospital outcomesCoronary interventionPCI proceduresIn-Hospital OutcomesPrimary end pointSecondary end pointsComposite end pointRisk of bleedingHierarchical multivariable modelInternal Medicine certificationAmerican BoardCathPCI RegistryPatient characteristicsPCI volumeUnadjusted outcomesAdverse outcomesPatient outcomesMultivariable modelLong-term Outcomes After Stepping Down Asthma Controller Medications A Claims-Based, Time-to-Event Analysis
Rank MA, Johnson R, Branda M, Herrin J, van Houten H, Gionfriddo MR, Shah ND. Long-term Outcomes After Stepping Down Asthma Controller Medications A Claims-Based, Time-to-Event Analysis. CHEST Journal 2015, 148: 630-639. PMID: 25997080, PMCID: PMC4556120, DOI: 10.1378/chest.15-0301.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAgedAged, 80 and overAnti-Asthmatic AgentsAsthmaComorbidityDrug Administration ScheduleEmergency Service, HospitalFemaleHospitalizationHumansInsurance Claim ReviewMaleMedicare Part CMedication AdherenceRecurrenceRetrospective StudiesRisk FactorsTreatment OutcomeUnited StatesConceptsAsthma controller medicationsAsthma exacerbationsLong-term outcomesController medicationsAsthma stabilityAsthma medicationsHealth-care provider guidanceFirst asthma exacerbationED visitsPrimary outcomeAdherence lapsesMedicationsExacerbationFour-month intervalsProvider guidanceStudy settingEvent analysisRetrospective timeMonthsAsthmaOutcomesIndividualsHospitalizationPeriodMonth stability
2014
Effect of Age on Survival Between Open Repair and Surveillance for Small Abdominal Aortic Aneurysms
Filardo G, Lederle FA, Ballard DJ, Hamilton C, da Graca B, Herrin J, Sass DM, Johnson GR, Powell JT. Effect of Age on Survival Between Open Repair and Surveillance for Small Abdominal Aortic Aneurysms. The American Journal Of Cardiology 2014, 114: 1281-1286. PMID: 25159236, DOI: 10.1016/j.amjcard.2014.07.055.Peer-Reviewed Original ResearchConceptsAbdominal aortic aneurysmImmediate open repairAsymptomatic abdominal aortic aneurysmSmall abdominal aortic aneurysmsOpen repairAortic aneurysmEffect of ageFirst-line management strategyPooled patient-level dataNonclinical risk factorsUnited Kingdom Small Aneurysm TrialPatient-level dataLack of benefitSignificant differencesAneurysm TrialRisk factorsTreatment groupsPatientsAneurysmsLack of differenceTrialsSurvivalAgeWomenManagement trials
2013
Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial
LeBlanc A, Bodde AE, Branda ME, Yost KJ, Herrin J, Williams MD, Shah ND, Houten HV, Ruud KL, Pencille LJ, Montori VM. Translating comparative effectiveness of depression medications into practice by comparing the depression medication choice decision aid to usual care: study protocol for a randomized controlled trial. Trials 2013, 14: 127. PMID: 23782672, PMCID: PMC3663744, DOI: 10.1186/1745-6215-14-127.Peer-Reviewed Original ResearchMeSH KeywordsAntidepressive AgentsClinical ProtocolsComparative Effectiveness ResearchDecision Support TechniquesDepressionHumansMedication AdherenceMental HealthMidwestern United StatesPatient SelectionPatient-Centered CarePrimary Health CareResearch DesignSurveys and QuestionnairesTime FactorsTreatment OutcomeConceptsUsual depression carePrimary care practicesDepression careInner-city primary care practiceCare practicesPractice-based trialPrimary care encountersTerms of efficacyDecision aidPatient-centered approachDesignThe objectiveAntidepressant therapyUsual careMedication choiceDepression medicationsDepression treatmentMedication adherencePatient knowledgeStudy protocolSevere depressionCare encountersImproved adherencePatient representativesPatient involvementPatients
2012
Proton Versus Intensity-Modulated Radiotherapy for Prostate Cancer: Patterns of Care and Early Toxicity
Yu JB, Soulos PR, Herrin J, Cramer LD, Potosky AL, Roberts KB, Gross CP. Proton Versus Intensity-Modulated Radiotherapy for Prostate Cancer: Patterns of Care and Early Toxicity. Journal Of The National Cancer Institute 2012, 105: 25-32. PMID: 23243199, PMCID: PMC3536640, DOI: 10.1093/jnci/djs463.Peer-Reviewed Original ResearchConceptsIntensity-modulated radiotherapyProstate cancerMedicare beneficiariesGenitourinary toxicityEarly toxicityProton radiotherapyMultivariable logistic regressionPatterns of careMain outcome measuresType of radiotherapyMedicare reimbursementClinical benefitRetrospective studyPRT patientsOutcome measuresComprehensive cohortPRT useIMRT patientsPatientsSociodemographic characteristicsRadiotherapyCancerLogistic regressionMonthsSignificant differencesAssessing the Impact of a Cooperative Group Trial on Breast Cancer Care in the Medicare Population
Soulos PR, Yu JB, Roberts KB, Raldow AC, Herrin J, Long JB, Gross CP. Assessing the Impact of a Cooperative Group Trial on Breast Cancer Care in the Medicare Population. Journal Of Clinical Oncology 2012, 30: 1601-1607. PMID: 22393088, PMCID: PMC3383112, DOI: 10.1200/jco.2011.39.4890.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overBreast NeoplasmsCombined Modality TherapyDisease-Free SurvivalFemaleHumansLife ExpectancyMastectomy, SegmentalMedicareNeoplasm InvasivenessNeoplasm StagingPrognosisRadiotherapy, AdjuvantRisk AssessmentSEER ProgramSurvival AnalysisTreatment OutcomeUnited StatesConceptsUse of RTAdjuvant radiation therapyRadiation therapyOlder womenRT useLife expectancyBreast cancerMedicare populationEnd Results-Medicare dataStage I breast cancerStrata of ageCooperative group trialsI breast cancerBreast cancer careStrata of patientsHealth system characteristicsLog-binomial regressionShort life expectancySample of womenTreatment guidelinesCancer careInclusion criteriaGroup trialsMedicare beneficiariesClinical practice
2010
Variation in Recovery
Lichtman JH, Lorenze NP, D'Onofrio G, Spertus JA, Lindau ST, Morgan TM, Herrin J, Bueno H, Mattera JA, Ridker PM, Krumholz HM. Variation in Recovery. Circulation Cardiovascular Quality And Outcomes 2010, 3: 684-693. PMID: 21081748, PMCID: PMC3064946, DOI: 10.1161/circoutcomes.109.928713.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionYoung AMI patientsAMI patientsYoung womenHeart diseaseSex differencesExcess mortality riskIschemic heart diseaseRisk stratification modelPsychosocial risk factorsYears of ageQuality of careComparison cohortPrognostic factorsPrognostic importanceAMI populationMyocardial infarctionRisk factorsObservational studyMortality riskHigh riskAMI eventsPatientsAge accountWomenMeasuring Team Process for Quality Improvement
Strasser DC, Burridge AB, Falconer JA, Herrin J, Uomoto J. Measuring Team Process for Quality Improvement. Topics In Stroke Rehabilitation 2010, 17: 282-293. PMID: 20826416, DOI: 10.1310/tsr1704-282.Peer-Reviewed Original ResearchThe Effect of How Outcomes Are Framed on Decisions about Whether to Take Antihypertensive Medication: A Randomized Trial
Carling CL, Kristoffersen DT, Oxman AD, Flottorp S, Fretheim A, Schünemann HJ, Akl EA, Herrin J, MacKenzie TD, Montori VM. The Effect of How Outcomes Are Framed on Decisions about Whether to Take Antihypertensive Medication: A Randomized Trial. PLOS ONE 2010, 5: e9469. PMID: 20209127, PMCID: PMC2830888, DOI: 10.1371/journal.pone.0009469.Peer-Reviewed Original ResearchConceptsAntihypertensive medicationsVisual analog scaleCardiovascular diseaseVAS scoresRelative importance scoresCVD risk reductionYear old manLow baseline riskDetailed patient informationRandomized trialsAnalog scaleRisk factorsBaseline riskMedicationsAdult volunteersHypertensionLogistic regressionPatient informationSignificant decreaseTrialsSignificant differencesRisk reductionPresentationParticipantsRisk