2022
Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults
Lu Y, Li SX, Liu Y, Rodriguez F, Watson KE, Dreyer RP, Khera R, Murugiah K, D’Onofrio G, Spatz ES, Nasir K, Masoudi FA, Krumholz HM. Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults. JAMA Network Open 2022, 5: e229953. PMID: 35503221, PMCID: PMC9066284, DOI: 10.1001/jamanetworkopen.2022.9953.Peer-Reviewed Original ResearchConceptsFirst acute myocardial infarctionAcute myocardial infarctionPsychosocial risk factorsRisk factor profilePopulation attributable fractionRisk factor associationsRisk factorsOdds ratioYoung womenAMI subtypesMyocardial infarctionPrevention of AMIType 1 acute myocardial infarctionFactor profileRisk of AMITraditional cardiovascular risk factorsSex-specific risk factorsFactor associationsYoung adultsRisk factor modificationCardiovascular risk factorsStrong associationNutrition Examination SurveyCase-control studyPopulation-based controls
2021
Delays in antibiotic redosing: Association with inpatient mortality and risk factors for delay
Kemmler CB, Sangal RB, Rothenberg C, Li SX, Shofer FS, Abella BS, Venkatesh AK, Foster SD. Delays in antibiotic redosing: Association with inpatient mortality and risk factors for delay. The American Journal Of Emergency Medicine 2021, 46: 63-69. PMID: 33735698, DOI: 10.1016/j.ajem.2021.02.058.Peer-Reviewed Original ResearchConceptsSecond dose administrationEmergency departmentDose administrationRisk factorsEmergency Severity IndexHospital mortalityFirst doseSecond doseED boardingAntibiotic dosesEnd-stage renal diseaseExtremes of weightHigh acuity presentationsRetrospective cohort studyStage renal diseaseWorse clinical outcomesSerious bacterial infectionsOdds of delayEarly hospital courseSingle healthcare systemAntibiotic redosingDosing intervalHospital courseCohort studyInpatient mortality
2019
Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention
Huang C, Li SX, Mahajan S, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e1916021. PMID: 31755952, PMCID: PMC6902830, DOI: 10.1001/jamanetworkopen.2019.16021.Peer-Reviewed Original ResearchConceptsCreatinine level increaseAcute kidney injuryPercutaneous coronary interventionContrast volumeAKI riskKidney injuryCoronary interventionBaseline riskCardiology National Cardiovascular Data Registry's CathPCI RegistryNational Cardiovascular Data Registry CathPCI RegistryRisk of AKIAcute Kidney Injury AssociatedDifferent baseline risksPCI safetyCathPCI RegistryInjury AssociatedMean ageDerivation setPreprocedural riskMAIN OUTCOMEAmerican CollegePrognostic studiesUS hospitalsCalibration slopeValidation set
2018
Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study
Huang C, Murugiah K, Mahajan S, Li SX, Dhruva SS, Haimovich JS, Wang Y, Schulz WL, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study. PLOS Medicine 2018, 15: e1002703. PMID: 30481186, PMCID: PMC6258473, DOI: 10.1371/journal.pmed.1002703.Peer-Reviewed Original ResearchMeSH KeywordsAcute Kidney InjuryAgedClinical Decision-MakingData MiningDecision Support TechniquesFemaleHumansMachine LearningMaleMiddle AgedPercutaneous Coronary InterventionProtective FactorsRegistriesReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeConceptsPercutaneous coronary interventionNational Cardiovascular Data RegistryRisk prediction modelAKI eventsAKI riskCoronary interventionAKI modelMean ageCardiology-National Cardiovascular Data RegistryAcute kidney injury riskAKI risk predictionRetrospective cohort studyIdentification of patientsCandidate variablesAvailable candidate variablesCohort studyPCI proceduresPoint of careBrier scoreAmerican CollegeData registryPatientsCalibration slopeInjury riskSame cohort
2017
Systolic Blood Pressure Response in SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD (Action to Control Cardiovascular Risk in Diabetes): A Possible Explanation for Discordant Trial Results
Huang C, Dhruva SS, Coppi AC, Warner F, Li S, Lin H, Nasir K, Krumholz HM. Systolic Blood Pressure Response in SPRINT (Systolic Blood Pressure Intervention Trial) and ACCORD (Action to Control Cardiovascular Risk in Diabetes): A Possible Explanation for Discordant Trial Results. Journal Of The American Heart Association 2017, 6: e007509. PMID: 29133522, PMCID: PMC5721802, DOI: 10.1161/jaha.117.007509.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBlood PressureDiabetes MellitusFemaleHumansHypertensionMaleRisk FactorsSystoleConceptsSystolic blood pressure responseBlood pressure responseTreatment groupsCause deathVisit variabilityDiscordant trialsBlood pressure trialStandard treatment groupPressure responseACCORD participantsPressure trialSBP responseHeart failureMean SBPPrimary outcomeSBPDiscordant resultsMean differenceSimilar interventionsTrial resultsTrialsSimilar mean differencesTreatment effectsSignificant differencesStroke
2016
Analysis of Machine Learning Techniques for Heart Failure Readmissions
Mortazavi BJ, Downing NS, Bucholz EM, Dharmarajan K, Manhapra A, Li SX, Negahban SN, Krumholz HM. Analysis of Machine Learning Techniques for Heart Failure Readmissions. Circulation Cardiovascular Quality And Outcomes 2016, 9: 629-640. PMID: 28263938, PMCID: PMC5459389, DOI: 10.1161/circoutcomes.116.003039.Peer-Reviewed Original ResearchThe china patient‐centered evaluative assessment of cardiac events (PEACE) prospective study of percutaneous coronary intervention: Study design
Du X, Pi Y, Dreyer RP, Li J, Li X, Downing NS, Li L, Feng F, Zhan L, Zhang H, Guan W, Xu X, Li S, Lin Z, Masoudi FA, Spertus JA, Krumholz HM, Jiang L, Group F. The china patient‐centered evaluative assessment of cardiac events (PEACE) prospective study of percutaneous coronary intervention: Study design. Catheterization And Cardiovascular Interventions 2016, 88: e212-e221. PMID: 26945565, PMCID: PMC5215582, DOI: 10.1002/ccd.26461.Peer-Reviewed Original ResearchMeSH KeywordsChinaClinical ProtocolsCoronary AngiographyHealth StatusHealthcare DisparitiesHumansMedication AdherenceMyocardial InfarctionPatient Reported Outcome MeasuresPatient-Centered CarePercutaneous Coronary InterventionPredictive Value of TestsProspective StudiesResearch DesignRisk AssessmentRisk FactorsSecondary PreventionTime FactorsTreatment OutcomeConceptsPercutaneous coronary interventionPatient-reported outcomesCardiovascular risk factor controlRisk factor controlProspective studyHealth statusMedical historyLong-term clinical outcomesLong-term patient outcomesHospital-level factorsIndependent core laboratoryNationwide prospective studyLong-term outcomesPatient's medical historyHospital outcomesCoronary interventionPatient demographicsSecondary preventionConsecutive patientsMedical chartsPCI indicationPrimary outcomeClinical outcomesClinical presentationHealthcare utilizationChina Patient-centered Evaluative Assessment of Cardiac Events Prospective Study of Acute Myocardial Infarction: Study Design
Li J, Dreyer RP, Li X, Du X, Downing NS, Li L, Zhang HB, Feng F, Guan WC, Xu X, Li SX, Lin ZQ, Masoudi FA, Spertus JA, Krumholz HM, Jiang LX, Group T. China Patient-centered Evaluative Assessment of Cardiac Events Prospective Study of Acute Myocardial Infarction: Study Design. Chinese Medical Journal 2016, 129: 72-80. PMID: 26712436, PMCID: PMC4797546, DOI: 10.4103/0366-6999.172596.Peer-Reviewed Original ResearchConceptsPatient-reported outcomesAcute myocardial infarctionChina PatientMedical historyMyocardial infarctionPatient experienceLong-term adverse eventsRisk factor controlConsecutive AMI patientsAMI studyPatient's medical historyQuality of lifeNational Coordinating CentreQuality improvement activitiesHospital outcomesCardiac eventsPatient demographicsAdverse eventsMedical chartsHealthcare utilizationAMI patientsMedication adherenceProspective studyHospitalization eventsRisk factors
2012
Procedure Intensity and the Cost of Care
Chen SI, Dharmarajan K, Kim N, Strait KM, Li SX, Safavi KC, Lindenauer PK, Krumholz HM, Lagu T. Procedure Intensity and the Cost of Care. Circulation Cardiovascular Quality And Outcomes 2012, 5: 308-313. PMID: 22576844, PMCID: PMC3415230, DOI: 10.1161/circoutcomes.112.966069.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCosts and Cost AnalysisCross-Sectional StudiesFemaleHeart FailureHospital Bed CapacityHospital CostsHospital MortalityHospitalizationHospitals, RuralHospitals, TeachingHospitals, UrbanHumansLength of StayLinear ModelsMaleMiddle AgedModels, EconomicOutcome and Process Assessment, Health CareResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsHF hospitalizationHeart failureInvasive proceduresHospital groupRisk-standardized mortality ratesProportion of patientsLength of stayCost of careWilcoxon rank sum testHigher procedure ratesRank sum testPatient demographicsPerspective databaseMedian lengthSurgical proceduresProcedure ratesHospitalizationOutcome differencesMortality rateHospitalPatientsPractice styleProcedure useSum testOverall use