2022
Machine 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 ResearchMeSH KeywordsAtrial FibrillationClinical Trials as TopicFemaleHeart FailureHumansMachine LearningMaleObesityPrognosisStroke VolumeConceptsASCEND-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
The influence of comorbidities on achieving an N‐terminal pro‐b‐type natriuretic peptide target: a secondary analysis of the GUIDE‐IT trial
Ezekowitz JA, Alemayehu W, Rathwell S, Grant AD, Fiuzat M, Whellan DJ, Ahmad T, Adams K, Piña IL, Cooper LS, Januzzi JL, Leifer ES, Mark D, O'Connor CM, Felker GM. The influence of comorbidities on achieving an N‐terminal pro‐b‐type natriuretic peptide target: a secondary analysis of the GUIDE‐IT trial. ESC Heart Failure 2021, 9: 77-86. PMID: 34784657, PMCID: PMC8787989, DOI: 10.1002/ehf2.13692.Peer-Reviewed Original ResearchConceptsBody mass indexLower body mass indexNT-proBNPAtrial fibrillationN-terminal pro B-type natriuretic peptide valuesMedian body mass indexHigher body mass indexGUIDE-IT trialNT-proBNP targetWorse renal functionNT-proBNP levelsReduced ejection fractionCent of patientsNatriuretic peptide valuesGlomerular filtration rateHeart failure therapyInfluence of comorbiditiesSeverity of illnessEvidence-based therapiesPg/mLCare armLower eGFRRenal dysfunctionUsual careRenal functionCannabis use disorder among atrial fibrillation admissions, 2008–2018
Chouairi F, Miller PE, Guha A, Clarke J, Reinhardt SW, Ahmad T, Freeman JV, Desai NR, Friedman DJ. Cannabis use disorder among atrial fibrillation admissions, 2008–2018. Pacing And Clinical Electrophysiology 2021, 44: 1934-1938. PMID: 34506639, DOI: 10.1111/pace.14356.Peer-Reviewed Original ResearchConceptsAtrial fibrillation hospitalizationsAF hospitalizationsImpact of CUDNational Inpatient SampleProportion of admissionsDiseases diagnosis codesPrevalence of cannabisHistory of CUDHospital dischargeYounger patientsHigher proportionUnderserved patientsBlack raceDiagnosis codesInpatient SampleInternational ClassificationHospitalizationLegality of cannabisCannabis usePatientsAdmissionCodiagnosisLittle dataCUDCannabisNational Trends in the Burden of Atrial Fibrillation During Hospital Admissions for Heart Failure
Reinhardt SW, Chouairi F, Miller PE, Clark KAA, Kay B, Fuery M, Guha A, Freeman JV, Ahmad T, Desai NR, Friedman DJ. National Trends in the Burden of Atrial Fibrillation During Hospital Admissions for Heart Failure. Journal Of The American Heart Association 2021, 10: e019412. PMID: 34013736, PMCID: PMC8483517, DOI: 10.1161/jaha.120.019412.Peer-Reviewed Original ResearchConceptsReduced ejection fractionComorbid atrial fibrillationHeart failureAtrial fibrillationEjection fractionHospital mortalityHF hospitalizationBackground Heart failureConclusion Atrial fibrillationWhite individualsNational Inpatient SampleMedian hospital chargesMore comorbiditiesComorbid hypertensionHF admissionsHF outcomesPatient demographicsDiabetes mellitusHospital admissionHospital chargesInpatient SampleVascular diseaseHospitalizationPatientsMortality