2023
Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study
Lu Y, Linderman G, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi B, Spatz E, Krumholz H. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009258. PMID: 36883456, DOI: 10.1161/circoutcomes.122.009258.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyBlood pressure valuesPatient characteristicsReal-world settingCohort studyPatient subgroupsYale New Haven Health SystemMean body mass indexSystolic blood pressure valuesBlood pressure visitHistory of hypertensionCoronary artery diseaseManagement of patientsMultivariable linear regression modelsBlood pressure readingsBody mass indexPatient-level measuresBlood pressure variationAbsolute standardized differencesNon-Hispanic whitesAntihypertensive medicationsReal-world practiceVisit variabilityArtery diseaseRegression models
2020
Association of Body Mass Index and Age With Morbidity and Mortality in Patients Hospitalized With COVID-19
Hendren NS, de Lemos JA, Ayers C, Das SR, Rao A, Carter S, Rosenblatt A, Walchok J, Omar W, Khera R, Hegde AA, Drazner MH, Neeland IJ, Grodin JL. Association of Body Mass Index and Age With Morbidity and Mortality in Patients Hospitalized With COVID-19. Circulation 2020, 143: 135-144. PMID: 33200947, DOI: 10.1161/circulationaha.120.051936.Peer-Reviewed Original ResearchConceptsBody mass indexClass III obesityHospital deathMechanical ventilationHigh riskVenous thromboembolismObese patientsMass indexObese individualsAmerican Heart Association COVID-19 Cardiovascular Disease RegistryAssociation of BMIMajor adverse cardiac eventsHigher body mass indexCOVID-19Significant body mass indexClass ICardiovascular Disease RegistryGeneralizable patient populationsAdverse cardiac eventsPrimary end pointCOVID-19 prevention strategiesCOVID-19 outcomesCoronavirus disease 2019Public health messagingAdults 51Performance of the Pooled Cohort Equations to Estimate Atherosclerotic Cardiovascular Disease Risk by Body Mass Index
Khera R, Pandey A, Ayers CR, Carnethon MR, Greenland P, Ndumele CE, Nambi V, Seliger SL, Chaves PHM, Safford MM, Cushman M, Xanthakis V, Ramachandran V, Mentz RJ, Correa A, Lloyd-Jones DM, Berry JD, de Lemos JA, Neeland IJ. Performance of the Pooled Cohort Equations to Estimate Atherosclerotic Cardiovascular Disease Risk by Body Mass Index. JAMA Network Open 2020, 3: e2023242. PMID: 33119108, PMCID: PMC7596579, DOI: 10.1001/jamanetworkopen.2020.23242.Peer-Reviewed Original ResearchConceptsHigh-sensitivity C-reactive proteinPooled Cohort EquationsASCVD riskAtherosclerotic cardiovascular diseaseBody mass indexBMI categoriesCohort EquationsObesity categoriesCohort studySevere obesityWaist circumferenceBMI groupsMass indexUnderweight categoryAtherosclerotic cardiovascular disease riskMean baseline BMIRisk of ASCVDUsual clinical measuresCardiovascular disease riskC-reactive proteinPooled individual-level dataSevere obesity groupLongitudinal cohort studyNormal weight categoryAdults ages 40
2019
Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction
Angraal S, Mortazavi BJ, Gupta A, Khera R, Ahmad T, Desai NR, Jacoby DL, Masoudi FA, Spertus JA, Krumholz HM. Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction. JACC Heart Failure 2019, 8: 12-21. PMID: 31606361, DOI: 10.1016/j.jchf.2019.06.013.Peer-Reviewed Original ResearchConceptsHF hospitalizationRisk of mortalityEjection fractionBlood urea nitrogen levelsLogistic regressionPrevious HF hospitalizationHeart failure hospitalizationReduced ejection fractionReceiver-operating characteristic curveRisk of deathBody mass indexBlood urea nitrogenUrea nitrogen levelsHealth status dataMean c-statisticKCCQ scoresTOPCAT trialFailure hospitalizationHeart failureHemoglobin levelsMass indexC-statisticHospitalizationUrea nitrogenMortalityHemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance
Mahajan S, Gu J, Lu Y, Khera R, Spatz ES, Zhang M, Sun N, Zheng X, Zhao H, Lu H, Ma ZJ, Krumholz HM. Hemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance. The American Journal Of Medicine 2019, 133: e127-e139. PMID: 31525336, DOI: 10.1016/j.amjmed.2019.08.042.Peer-Reviewed Original ResearchConceptsSystemic vascular resistance indexVascular resistance indexSystemic vascular resistanceCardiac indexBlood pressure categoriesResistance index ratioResistance indexVascular resistanceCardiac outputBlood pressureHemodynamic phenotypesPressure categoriesHigh systemic vascular resistance indexNormal systemic vascular resistance indexSystolic blood pressure 140Systolic blood pressure categoriesBlood pressure 140Health checkup centerNormal cardiac indexLow cardiac indexStroke volume indexHigher cardiac indexSystolic blood pressureBody mass indexSubtypes of hypertension
2017
Predictors of Death in Adults With Duchenne Muscular Dystrophy–Associated Cardiomyopathy
Cheeran D, Khan S, Khera R, Bhatt A, Garg S, Grodin JL, Morlend R, Araj FG, Amin AA, Thibodeau JT, Das S, Drazner MH, Mammen PPA. Predictors of Death in Adults With Duchenne Muscular Dystrophy–Associated Cardiomyopathy. Journal Of The American Heart Association 2017, 6: e006340. PMID: 29042427, PMCID: PMC5721845, DOI: 10.1161/jaha.117.006340.Peer-Reviewed Original ResearchConceptsDuchenne muscular dystrophyDMD patientsPrognostic factorsDMD populationCardiac biomarkersHigh-risk cardiovascular populationLower body mass indexAdult DMD patientsHeart failure medicationsPredictors of deathAlanine aminotransferase levelsElevated cardiac biomarkersPoor prognostic factorMaximum inspiratory pressureBody mass indexElectronic medical recordsCardiomyopathy clinicMedian followAminotransferase levelsBaseline characteristicsCardiovascular populationRetrospective cohortConsecutive patientsMass indexWorse prognosis