2024
Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study
Miller R, Bednarski B, Pieszko K, Kwiecinski J, Williams M, Shanbhag A, Liang J, Huang C, Sharir T, Hauser M, Dorbala S, Di Carli M, Fish M, Ruddy T, Bateman T, Einstein A, Kaufmann P, Miller E, Sinusas A, Acampa W, Han D, Dey D, Berman D, Slomka P. Clinical phenotypes among patients with normal cardiac perfusion using unsupervised learning: a retrospective observational study. EBioMedicine 2024, 99: 104930. PMID: 38168587, PMCID: PMC10794922, DOI: 10.1016/j.ebiom.2023.104930.Peer-Reviewed Original ResearchMyocardial infarctionMyocardial perfusion imagingBlood InstituteNational HeartPharmacologic stressExternal testing cohortNormal imaging resultsRetrospective observational studyCoronary artery diseasePrevious myocardial infarctionRisk of deathNormal perfusion scanBritish Heart FoundationNational InstituteCluster 4 patientsDistinct phenotypesCardiovascular riskArtery diseaseRisk stratificationPerfusion scanNormal perfusionImaging featuresNormal scansMPI patientsHeart Foundation
2023
CORONARY ARTERY CALCIFICATIONS ARE A BETTER PREDICTOR OF CARDIOVASCULAR OUTCOMES THAN ISCHEMIC ECG CHANGES IN PATIENTS WITH NORMAL PERFUSION ON EXERCISE SPECT
Shi T, Kokkinidis D, Agarwal R, Liu Y, Sinusas A, Miller E, Feher A. CORONARY ARTERY CALCIFICATIONS ARE A BETTER PREDICTOR OF CARDIOVASCULAR OUTCOMES THAN ISCHEMIC ECG CHANGES IN PATIENTS WITH NORMAL PERFUSION ON EXERCISE SPECT. Journal Of The American College Of Cardiology 2023, 81: 1498. DOI: 10.1016/s0735-1097(23)01942-3.Peer-Reviewed Original Research