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 nitrogenMortality
2015
Trends in hospitalization for takotsubo cardiomyopathy in the United States
Khera R, Light-McGroary K, Zahr F, Horwitz PA, Girotra S. Trends in hospitalization for takotsubo cardiomyopathy in the United States. American Heart Journal 2015, 172: 53-63. PMID: 26856216, PMCID: PMC4748175, DOI: 10.1016/j.ahj.2015.10.022.Peer-Reviewed Original ResearchConceptsTakotsubo cardiomyopathyPrimary diagnosis groupCardiac arrestDiagnosis groupsHigh incidenceCardiogenic shockRespiratory failurePsychiatric disordersTransient left ventricular systolic dysfunctionLeft ventricular systolic dysfunctionNational Inpatient Sample dataCardiovascular risk factorsDiagnostic coronary angiographyVentricular systolic dysfunctionSecondary discharge diagnosisRisk of mortalityCost of careHospital mortalitySystolic dysfunctionCritical illnessCoronary angiographyDischarge diagnosisRisk factorsExcess mortalitySecondary group