2022
Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018
Caraballo C, Mahajan S, Valero-Elizondo J, Massey D, Lu Y, Roy B, Riley C, Annapureddy AR, Murugiah K, Elumn J, Nasir K, Nunez-Smith M, Forman HP, Jackson CL, Herrin J, Krumholz HM. Evaluation of Temporal Trends in Racial and Ethnic Disparities in Sleep Duration Among US Adults, 2004-2018. JAMA Network Open 2022, 5: e226385. PMID: 35389500, PMCID: PMC8990329, DOI: 10.1001/jamanetworkopen.2022.6385.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlack PeopleCross-Sectional StudiesEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedSleepConceptsCross-sectional studyLong sleep durationSleep durationWhite individualsBlack individualsLatino individualsEthnic differencesSerial cross-sectional studyNational Health Interview Survey dataHealth Interview Survey dataSelf-reported sleep durationShort sleep durationInterview Survey dataMiddle-aged adultsSelf-reported raceEstimated prevalenceMAIN OUTCOMELong sleepSleep deficiencyHigher household incomeEthnic disparitiesAge groupsHealth disparitiesPrevalenceSleep disparitiesHealth status outcomes after spontaneous coronary artery dissection and comparison with other acute myocardial infarction: The VIRGO experience
Murugiah K, Chen L, Dreyer RP, Bouras G, Safdar B, Khera R, Lu Y, Spatz ES, Ng VG, Gupta A, Bueno H, Tweet MS, Spertus JA, Hayes SN, Lansky A, Krumholz HM. Health status outcomes after spontaneous coronary artery dissection and comparison with other acute myocardial infarction: The VIRGO experience. PLOS ONE 2022, 17: e0265624. PMID: 35320296, PMCID: PMC8942215, DOI: 10.1371/journal.pone.0265624.Peer-Reviewed Original ResearchConceptsSpontaneous coronary artery dissectionAcute myocardial infarctionAMI patientsCoronary artery dissectionYoung AMI patientsHealth status outcomesHealth status instrumentsSCAD patientsArtery dissectionMyocardial infarctionStatus outcomesPatientsOutcomesHousehold incomeCollege educationInfarction
2021
Changes in ST segment elevation myocardial infarction hospitalisations in China from 2011 to 2015
Zhou T, Li X, Lu Y, Murugiah K, Bai X, Hu S, Gao Y, Masoudi FA, Krumholz HM, Li J, . Changes in ST segment elevation myocardial infarction hospitalisations in China from 2011 to 2015. Open Heart 2021, 8: e001666. PMID: 34599073, PMCID: PMC8488733, DOI: 10.1136/openhrt-2021-001666.Peer-Reviewed Original ResearchConceptsST-segment elevation myocardial infarctionPrehospital delayMyocardial infarctionSegment elevation myocardial infarctionProportion of patientsElevation myocardial infarctionAcute cardiovascular careAcute myocardial infarctionWeighted national estimateHealth service capacityRisk-adjusted ratesAcute reperfusionEligible patientsHospital deathReperfusion therapyMedical chartsPatient characteristicsHospital treatmentPatient outcomesRandom cohortCardiovascular diseaseCardiovascular carePatientsNational estimatesStandardised definitionsTrends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018
Mahajan S, Caraballo C, Lu Y, Valero-Elizondo J, Massey D, Annapureddy AR, Roy B, Riley C, Murugiah K, Onuma O, Nunez-Smith M, Forman HP, Nasir K, Herrin J, Krumholz HM. Trends in Differences in Health Status and Health Care Access and Affordability by Race and Ethnicity in the United States, 1999-2018. JAMA 2021, 326: 637-648. PMID: 34402830, PMCID: PMC8371573, DOI: 10.1001/jama.2021.9907.Peer-Reviewed Original ResearchConceptsHealth care accessFair health statusSelf-reported health statusCare accessHealth statusWhite individualsEthnic differencesLatino/HispanicNational Health Interview Survey dataSerial cross-sectional studySelf-reported functional limitationsBlack individualsHealth Interview Survey dataLow incomeCross-sectional studyCross-sectional survey studyInterview Survey dataSelf-reported raceSelf-report measuresMAIN OUTCOMEUS adultsFunctional limitationsPercentage of peopleSignificant decreaseAdults
2020
Characteristics of cardiac catheterization laboratory directors at the 2017 U.S. News & World Report top 100 U.S. cardiovascular hospitals
Murugiah K, Annapureddy AR, Khera R, Lansky A, Curtis JP. Characteristics of cardiac catheterization laboratory directors at the 2017 U.S. News & World Report top 100 U.S. cardiovascular hospitals. Catheterization And Cardiovascular Interventions 2020, 97: e624-e626. PMID: 32833350, DOI: 10.1002/ccd.29217.Peer-Reviewed Original ResearchConceptsCardiac catheterization laboratoryCardiovascular HospitalFellowship trainingPercutaneous coronary interventionCardiac catheterization laboratory directorsStructural interventionsCoronary interventionMedian agePeripheral interventionsMedical school graduationCardiovascular programCatheterization laboratoryMedicare dataMedicare Provider UtilizationHospitalClinical focusMedian yearsProvider Utilization
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
Urban–Rural Comparisons in Hospital Admission, Treatments, and Outcomes for ST-Segment–Elevation Myocardial Infarction in China From 2001 to 2011
Li X, Murugiah K, Li J, Masoudi FA, Chan PS, Hu S, Spertus JA, Wang Y, Downing NS, Krumholz HM, Jiang L. Urban–Rural Comparisons in Hospital Admission, Treatments, and Outcomes for ST-Segment–Elevation Myocardial Infarction in China From 2001 to 2011. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003905. PMID: 29158421, PMCID: PMC6312853, DOI: 10.1161/circoutcomes.117.003905.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overChinaDisease ManagementFemaleHealthcare DisparitiesHospital MortalityHospitalizationHospitals, RuralHospitals, UrbanHumansMaleMiddle AgedOdds RatioQuality ImprovementRetrospective StudiesRural PopulationST Elevation Myocardial InfarctionSurvival RateTime FactorsUrban PopulationConceptsEvidence-based treatmentsMyocardial infarctionEnzyme inhibitors/angiotensin receptor blockersRural hospitalsST-segment elevation myocardial infarctionUrban-rural disparitiesAngiotensin receptor blockersElevation myocardial infarctionAdjusted odds ratioResource-intensive careRisk-adjusted ratesHospital deathReperfusion therapyReceptor blockersHospital admissionCardiac facilitiesPatient outcomesOdds ratioCare persistUrban hospitalΒ-blockersBetter outcomesRural careHealthcare resourcesST segmentAre non-ST-segment elevation myocardial infarctions missing in China?
Murugiah K, Wang Y, Nuti SV, Li X, Li J, Zheng X, Downing NS, Desai NR, Masoudi FA, Spertus JA, Jiang L, Krumholz HM, Group F. Are non-ST-segment elevation myocardial infarctions missing in China? European Heart Journal - Quality Of Care And Clinical Outcomes 2017, 3: 319-327. PMID: 28950309, DOI: 10.1093/ehjqcco/qcx025.Peer-Reviewed Original ResearchAdmission Glucose and In-hospital Mortality after Acute Myocardial Infarction in Patients with or without Diabetes: A Cross-sectional Study
Zhao S, Murugiah K, Li N, Li X, Xu ZH, Li J, Cheng C, Mao H, Downing NS, Krumholz HM, Jiang LX. Admission Glucose and In-hospital Mortality after Acute Myocardial Infarction in Patients with or without Diabetes: A Cross-sectional Study. Chinese Medical Journal 2017, 130: 767-775. PMID: 28345539, PMCID: PMC5381309, DOI: 10.4103/0366-6999.202733.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionAbsence of diabetesAdverse clinical eventsAdmission glucoseNondiabetic patientsClinical eventsPrognostic valueBlood glucoseMyocardial infarctionRepresentative sampleGlucose levelsPatientsAdmissionMortalityGlucosePrior studiesHyperglycemiaInfarctionDiabetesMixed resultsStatistical powerSex Differences in 1-Year All-Cause Rehospitalization in Patients After Acute Myocardial Infarction
Dreyer RP, Dharmarajan K, Kennedy KF, Jones PG, Vaccarino V, Murugiah K, Nuti SV, Smolderen KG, Buchanan DM, Spertus JA, Krumholz HM. Sex Differences in 1-Year All-Cause Rehospitalization in Patients After Acute Myocardial Infarction. Circulation 2017, 135: 521-531. PMID: 28153989, PMCID: PMC5312975, DOI: 10.1161/circulationaha.116.024993.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionAge-sex interactionHigh riskRehospitalization ratesClinical factorsMyocardial infarctionCox proportional hazards modelSignificant age-sex interactionCause rehospitalization rateSex differencesMedical record abstractionProportional hazards modelYears of ageFirst yearTRIUMPH studyCause rehospitalizationRecord abstractionPatient interviewsRehospitalizationUS CentersHazards modelPsychosocial factorsPhysician panelHealth statusPsychosocial state
2016
Contemporary Prehospital Emergency Medical Services Response Times for Suspected Stroke in the United States
Schwartz J, Dreyer RP, Murugiah K, Ranasinghe I. Contemporary Prehospital Emergency Medical Services Response Times for Suspected Stroke in the United States. Prehospital Emergency Care 2016, 20: 560-565. PMID: 26953776, DOI: 10.3109/10903127.2016.1139219.Peer-Reviewed Original ResearchConceptsEMS response timeEffective stroke treatmentEmergency medical services response timeEMS responseStroke treatmentEMS provider impressionGuideline recommendationsStroke guidelinesStroke patientsPrehospital strokeProvider impressionScene timeWhite raceSuspected StrokeStrokeDiagnostic accuracyPatientsPrimary impressionUnited StatesMinutes
2015
The Variation in Recovery
Spatz ES, Curry LA, Masoudi FA, Zhou S, Strait KM, Gross CP, Curtis JP, Lansky AJ, Soares Barreto-Filho JA, Lampropulos JF, Bueno H, Chaudhry SI, D'Onofrio G, Safdar B, Dreyer RP, Murugiah K, Spertus JA, Krumholz HM. The Variation in Recovery. Circulation 2015, 132: 1710-1718. PMID: 26350057, PMCID: PMC4858327, DOI: 10.1161/circulationaha.115.016502.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetAlgorithmsAortic DissectionClassificationCoronary DiseaseDiagnostic Techniques, CardiovascularFemaleHumansMaleMedical RecordsMiddle AgedMyocardial InfarctionMyocardiumOxygen ConsumptionPhenotypePlaque, AtheroscleroticProspective StudiesReproducibility of ResultsRisk FactorsSex FactorsTreatment OutcomeYoung AdultConceptsAcute myocardial infarctionCoronary artery diseaseArtery diseaseClinical phenotypeNonobstructive coronary artery diseaseYoung AMI Patients (VIRGO) studyObstructive coronary artery diseaseYoung womenType 2 acute myocardial infarctionBiological disease mechanismsSubset of patientsThird universal definitionUnique clinical phenotypeCulprit lesionClinical characteristicsMyocardial infarctionTherapeutic efficacyUniversal definitionStudy participantsPatientsSupply-demand mismatchYoung adultsDisease mechanismsPatient studiesCurrent classification schemesSex Differences in the Rate, Timing, and Principal Diagnoses of 30-Day Readmissions in Younger Patients with Acute Myocardial Infarction
Dreyer RP, Ranasinghe I, Wang Y, Dharmarajan K, Murugiah K, Nuti SV, Hsieh AF, Spertus JA, Krumholz HM. Sex Differences in the Rate, Timing, and Principal Diagnoses of 30-Day Readmissions in Younger Patients with Acute Myocardial Infarction. Circulation 2015, 132: 158-166. PMID: 26085455, PMCID: PMC5322973, DOI: 10.1161/circulationaha.114.014776.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionPrincipal diagnosisYounger patientsHigh riskUtilization Project State Inpatient DatabasesYoung womenCause readmission rateGreater mortality riskSex differencesNoncardiac diagnosesReadmission diagnosesReadmission timingReadmission ratesInpatient DatabaseReadmission riskFemale sexCondition categoriesReadmissionMortality riskHealthcare costsDay 2InfarctionPatientsDiagnosisNational Quality Assessment Evaluating Spironolactone Use During Hospitalization for Acute Myocardial Infarction (AMI) in China: China Patient‐centered Evaluation Assessment of Cardiac Events (PEACE)‐Retrospective AMI Study, 2001, 2006, and 2011
Guan W, Murugiah K, Downing N, Li J, Wang Q, Ross JS, Desai NR, Masoudi FA, Spertus JA, Li X, Krumholz HM, Jiang L, Group T. National Quality Assessment Evaluating Spironolactone Use During Hospitalization for Acute Myocardial Infarction (AMI) in China: China Patient‐centered Evaluation Assessment of Cardiac Events (PEACE)‐Retrospective AMI Study, 2001, 2006, and 2011. Journal Of The American Heart Association 2015, 4: e001718. PMID: 26071031, PMCID: PMC4599529, DOI: 10.1161/jaha.114.001718.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHeart failureMyocardial infarctionUse of spironolactoneNational practice patternsProportion of patientsAssessment of eligibilitySpironolactone useAldosterone antagonistsSystolic dysfunctionCardiac eventsAMI patientsChina PatientPatient eligibilityPatient groupUnknown indicationPractice patternsIdeal patientPatientsSpironolactoneEligibilityAppropriate useInfarctionDiabetesNational quality assessment
2012
Prevalence of Takotsubo cardiomyopathy in the United States
Deshmukh A, Kumar G, Pant S, Rihal C, Murugiah K, Mehta JL. Prevalence of Takotsubo cardiomyopathy in the United States. American Heart Journal 2012, 164: 66-71.e1. PMID: 22795284, DOI: 10.1016/j.ahj.2012.03.020.Peer-Reviewed Original ResearchConceptsTakotsubo cardiomyopathyHigher oddsAlcohol abuseNationwide Inpatient Sample databaseHistory of smokingAnxiety statesGeneral US populationTimes higher oddsNinth RevisionClinical syndromePeak incidenceHospitalization recordsElderly womenInternational ClassificationUS populationHospitalizationDischarge recordsSample databaseAge-gender interactionPrevalenceWomenTakotsuboHyperlipidemiaSmokingCardiomyopathy