2022
Network Meta-Analysis Comparing Angiotensin Receptor-Neprilysin Inhibitors, Angiotensin Receptor Blockers, and Angiotensin-Converting Enzyme Inhibitors in Heart Failure With Reduced Ejection Fraction
Park D, An S, Attanasio S, Jolly N, Malhotra S, Doukky R, Samsky M, Sen S, Ahmad T, Nanna M, Vij A. Network Meta-Analysis Comparing Angiotensin Receptor-Neprilysin Inhibitors, Angiotensin Receptor Blockers, and Angiotensin-Converting Enzyme Inhibitors in Heart Failure With Reduced Ejection Fraction. The American Journal Of Cardiology 2022, 187: 84-92. PMID: 36459752, PMCID: PMC10958453, DOI: 10.1016/j.amjcard.2022.10.026.Peer-Reviewed Original ResearchMeSH KeywordsAngiotensin Receptor AntagonistsAngiotensin-Converting Enzyme InhibitorsAntihypertensive AgentsBayes TheoremDeathHeart FailureHumansHypotensionNeprilysinNetwork Meta-AnalysisRandomized Controlled Trials as TopicReceptors, AngiotensinStroke VolumeTreatment OutcomeVentricular Dysfunction, LeftConceptsAngiotensin receptor neprilysin inhibitorAngiotensin receptor blockersReduced ejection fractionHeart failureEjection fractionHigh riskCause mortalityReceptor blockersCardiac deathLower riskEnzyme inhibitorsMajor adverse cardiac eventsAngiotensin converting enzyme (ACE) inhibitorsAdverse cardiac eventsEfficacy end pointNetwork meta-analysis approachImproved clinical outcomesRandomized clinical trialsP scoreCardiac eventsAngiotensin receptorsClinical outcomesNeprilysin inhibitorClinical benefitRecent trialsMachine learning to define phenotypes and outcomes of patients hospitalized for heart failure with preserved ejection fraction: Findings from ASCEND-HF
Murray EM, Greene SJ, Rao VN, Sun JL, Alhanti BA, Blumer V, Butler J, Ahmad T, Mentz RJ. Machine learning to define phenotypes and outcomes of patients hospitalized for heart failure with preserved ejection fraction: Findings from ASCEND-HF. American Heart Journal 2022, 254: 112-121. PMID: 36007566, DOI: 10.1016/j.ahj.2022.08.009.Peer-Reviewed Original ResearchConceptsASCEND-HF trialAtrial fibrillationBlood pressureEjection fractionHeart failureLatent class analysisOutcomes of patientsLong-term outcomesYoung menFour-hour urine outputDistinct phenotypesAcute HFRenal impairmentClinical profileUrine outputASCEND-HFClinical benefitHeterogenous diseaseClinical dataOlder womenHFpEFPatientsOlder individualsCluster 3Asian women
2021
Impact of the new heart allocation policy on patients with restrictive, hypertrophic, or congenital cardiomyopathies
Chouairi F, Mullan CW, Sen S, Mori M, Fuery M, Elder RW, Lesse J, Norton K, Clark KA, Miller PE, Mulligan D, Formica R, Rogers JG, Jacoby D, Maulion C, Anwer M, Geirsson A, Desai NR, Ahmad T. Impact of the new heart allocation policy on patients with restrictive, hypertrophic, or congenital cardiomyopathies. PLOS ONE 2021, 16: e0247789. PMID: 33651802, PMCID: PMC7924739, DOI: 10.1371/journal.pone.0247789.Peer-Reviewed Original ResearchConceptsCongenital heart diseaseAllocation system changeHeart allocation systemNew heart allocation policyNew heart allocation systemTransplantation of patientsOrgan Sharing databasePost-transplantation outcomesPost-transplant survivalTime of transplantationMechanical circulatory supportRate of transplantationNumber of patientsHeart allocation policyNew allocation systemStatus 1ACardiac transplantAdult patientsSharing databaseWaitlist survivalCirculatory supportClinical benefitCongenital cardiomyopathyUnited NetworkCHD patients