2023
Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging
Williams M, Bednarski B, Pieszko K, Miller R, Kwiecinski J, Shanbhag A, Liang J, Huang C, Sharir T, Dorbala S, Di Carli M, Einstein A, Sinusas A, Miller E, Bateman T, Fish M, Ruddy T, Acampa W, Hauser M, Kaufmann P, Dey D, Berman D, Slomka P. Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 50: 2656-2668. PMID: 37067586, PMCID: PMC10317876, DOI: 10.1007/s00259-023-06218-z.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseMyocardial perfusion imagingCause mortalityTotal perfusion deficitArtery diseaseRisk stratificationPerfusion deficitsHigher body mass indexTomography myocardial perfusion imagingMore diabetes mellitusSPECT myocardial perfusion imagingBetter risk stratificationRisk-stratify patientsBody mass indexREFINE SPECT registrySingle photon emissionDiabetes mellitusMass indexExternal cohortStress imagingMyocardial perfusionPatientsRisk phenotypePerfusion imagingImaging characteristics
2020
Survival Following Implantable Cardioverter‐Defibrillator Implantation in Patients With Amyloid Cardiomyopathy
Higgins AY, Annapureddy AR, Wang Y, Minges KE, Lampert R, Rosenfeld LE, Jacoby DL, Curtis JP, Miller EJ, Freeman JV. Survival Following Implantable Cardioverter‐Defibrillator Implantation in Patients With Amyloid Cardiomyopathy. Journal Of The American Heart Association 2020, 9: e016038. PMID: 32867553, PMCID: PMC7726970, DOI: 10.1161/jaha.120.016038.Peer-Reviewed Original ResearchConceptsImplantable cardioverter defibrillator implantationCardioverter-defibrillator implantationNonischemic cardiomyopathyCardiac amyloidosisDiabetes mellitusCerebrovascular diseaseVentricular tachycardiaMultivariable Cox proportional hazards regression modelsCox proportional hazards regression modelProportional hazards regression modelsKaplan-Meier survival curvesCox proportional hazards modelPropensity-matched cohortOutcomes of patientsHazards regression modelsProportional hazards modelCause mortalityICD implantationRenal functionMultivariable analysisConclusions MortalityRisk factorsRegistry dataAmyloid cardiomyopathyHigh risk
2012
The Polyphenols Resveratrol and S17834 Prevent the Structural and Functional Sequelae of Diet-Induced Metabolic Heart Disease in Mice
Qin F, Siwik DA, Luptak I, Hou X, Wang L, Higuchi A, Weisbrod RM, Ouchi N, Tu VH, Calamaras TD, Miller EJ, Verbeuren TJ, Walsh K, Cohen RA, Colucci WS. The Polyphenols Resveratrol and S17834 Prevent the Structural and Functional Sequelae of Diet-Induced Metabolic Heart Disease in Mice. Circulation 2012, 125: 1757-1764. PMID: 22388319, PMCID: PMC3354628, DOI: 10.1161/circulationaha.111.067801.Peer-Reviewed Original ResearchConceptsHFHS diet-fed miceDiet-fed miceMetabolic heart diseaseDiastolic dysfunctionLeft ventricular hypertrophyMyocardial oxidative stressVentricular hypertrophyHeart diseaseInterstitial fibrosisPlasma adiponectinInsulin resistanceProgressive left ventricular hypertrophyDiet-induced metabolic syndromeBeneficial effectsOxidative stressHomeostasis model assessmentMale C57BL/6J miceChronic hemodynamic overloadHFHS dietCardiovascular effectsSystolic functionDiabetes mellitusMetabolic syndromeConcomitant treatmentHemodynamic overload