2024
Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing
Nargesi A, Adejumo P, Dhingra L, Rosand B, Hengartner A, Coppi A, Benigeri S, Sen S, Ahmad T, Nadkarni G, Lin Z, Ahmad F, Krumholz H, Khera R. Automated Identification of Heart Failure With Reduced Ejection Fraction Using Deep Learning-Based Natural Language Processing. JACC Heart Failure 2024 PMID: 39453355, DOI: 10.1016/j.jchf.2024.08.012.Peer-Reviewed Original ResearchReduced ejection fractionEjection fractionHeart failureLeft ventricular ejection fractionVentricular ejection fractionYale-New Haven HospitalIdentification of patientsCommunity hospitalIdentification of heart failureLanguage modelNorthwestern MedicineMeasure care qualityQuality of careNew Haven HospitalDeep learning-based natural language processingHFrEFGuideline-directed careDeep learning language modelsMIMIC-IIIDetect HFrEFNatural language processingReclassification improvementHospital dischargePatientsCare quality
2023
Impact of Digital Health Technology on Quality of Life in Patients With Heart Failure
Victoria-Castro A, Martin M, Yamamoto Y, Melchinger H, Weinstein J, Nguyen A, Lee K, Gerber B, Calderon F, Subair L, Lee V, Williams A, Shaw M, Arora T, Garcez A, Desai N, Ahmad T, Wilson F. Impact of Digital Health Technology on Quality of Life in Patients With Heart Failure. JACC Heart Failure 2023, 12: 336-348. PMID: 37943227, DOI: 10.1016/j.jchf.2023.09.022.Peer-Reviewed Original ResearchOverall summary scoreClinical summary scoreTotal symptom scoreKCCQ overall summary scoreUsual careHeart failureQuality of lifeMedian changeKansas City Cardiomyopathy Questionnaire overall summary scoreSummary scoresMedian agePrimary outcomeSymptom scoresPhysical functionLongitudinal carePatientsDigital health toolsLarger studyDigital health technologiesHealth toolsQoLCareDigital interventionsIndependent effectsHealth technologiesElectronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure
Fuery M, Kadhim B, Samsky M, Freeman J, Clark K, Desai N, Wilson F, Ahmed T, Ahmad T. Electronic Health Record Embedded Strategies for Improving Care of Patients With Heart Failure. Current Heart Failure Reports 2023, 20: 280-286. PMID: 37552356, DOI: 10.1007/s11897-023-00614-0.Peer-Reviewed Original ResearchConceptsHeart failure patientsFailure patientsElectronic health recordsEHR alertClinical trialsRandomized clinical trialsCare of patientsQuality of careHeart failureClinician satisfactionRandomized fashionRecent FindingsTherePatientsUnmet needPatient careClinical decisionEvidence-based decisionsFuture interventionsCareHealth recordsTrialsCliniciansInterventionFindingsThereRisk Prediction for Heart Failure Patients Admitted to the Intensive Care Unit Insights From REVeAL-HF
O’Connor K, Yamamoto Y, Sen S, Samsky M, Wilson F, Desai N, Ahmad T, Fuery M. Risk Prediction for Heart Failure Patients Admitted to the Intensive Care Unit Insights From REVeAL-HF. JACC Heart Failure 2023, 11: 727-728. PMID: 37052546, DOI: 10.1016/j.jchf.2023.01.021.Peer-Reviewed Original Research
2022
Clinical implications of Type 2 diabetes on outcomes after cardiac transplantation
Chouairi F, Mullan C, Ahmed A, Bhinder J, Guha A, Miller P, Jastreboff A, Fuery M, Chiravuri M, Geirsson A, Desai N, Maulion C, Sen S, Ahmad T, Anwer M. Clinical implications of Type 2 diabetes on outcomes after cardiac transplantation. PLOS ONE 2022, 17: e0273111. PMID: 36516178, PMCID: PMC9750001, DOI: 10.1371/journal.pone.0273111.Peer-Reviewed Original ResearchConceptsPost-transplant mortalityType 2 diabetesAllocation system changeOld allocation systemsHeart transplant recipientsOutcomes of patientsOrgan Sharing databaseProportion of patientsHeart transplantation outcomesLower likelihoodLikelihood of transplantationHigher likelihoodNew allocation systemCardiac transplantationHeart transplantationTransplant recipientsT2D patientsHeart failureSharing databaseCox regressionTransplantation outcomesUnited NetworkWorse outcomesT2DPatientsMachine 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 womenRationale and design of a pragmatic trial aimed at improving treatment of hyperlipidemia in outpatients with very high risk atherosclerotic cardiovascular disease: A pragmatic trial of messaging to providers about treatment of hyperlipidemia (PROMPT-LIPID)
Shah NN, Ghazi L, Yamamoto Y, Martin M, Simonov M, Riello RJ, Faridi KF, Ahmad T, Wilson FP, Desai NR. Rationale and design of a pragmatic trial aimed at improving treatment of hyperlipidemia in outpatients with very high risk atherosclerotic cardiovascular disease: A pragmatic trial of messaging to providers about treatment of hyperlipidemia (PROMPT-LIPID). American Heart Journal 2022, 253: 76-85. PMID: 35841944, PMCID: PMC9936562, DOI: 10.1016/j.ahj.2022.07.002.Peer-Reviewed Original ResearchConceptsLipid-lowering therapyAtherosclerotic cardiovascular diseaseTreatment of hyperlipidemiaProportion of patientsElectronic health recordsPragmatic trialHigh riskCardiovascular diseaseProprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitorsHigh-risk atherosclerotic cardiovascular diseaseSubtilisin/kexin type 9 inhibitorsLow-density lipoprotein cholesterol reductionImportant public health implicationsEnrollment of patientsPublic health implicationsUsual careSecondary outcomesPrimary outcomeGuideline recommendationsCholesterol reductionPatientsLDLHyperlipidemiaScalable interventionsOutpatientsPragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation
Victoria‐Castro A, Martin M, Yamamoto Y, Ahmad T, Arora T, Calderon F, Desai N, Gerber B, Lee KA, Jacoby D, Melchinger H, Nguyen A, Shaw M, Simonov M, Williams A, Weinstein J, Wilson FP. Pragmatic randomized trial assessing the impact of digital health technology on quality of life in patients with heart failure: Design, rationale and implementation. Clinical Cardiology 2022, 45: 839-849. PMID: 35822275, PMCID: PMC9346973, DOI: 10.1002/clc.23848.Peer-Reviewed Original ResearchConceptsQuality of lifeHF patientsYale New Haven Health SystemKansas City Cardiomyopathy QuestionnaireDigital health technologiesHeart failure careHealth technologiesDigital health interventionsDisease exacerbationHF clinicUsual carePrimary outcomeClinical outcomesHeart failurePatient engagementPatientsHealth interventionsDigital health toolsPatient empowermentHealth systemPatient usabilityHealth toolsEarly detectionFirst enrollmentHealthcare systemContemporary US Trends In Heart Transplantation And LVAD Index Hospitalizations: Volumes Increase, Utilization And Cost Vary Over Time, 2015-2018
Clark K, Reinhardt S, Chouairi F, Miller E, Kay B, Fuery M, Guha A, Ahmad T, Desai N. Contemporary US Trends In Heart Transplantation And LVAD Index Hospitalizations: Volumes Increase, Utilization And Cost Vary Over Time, 2015-2018. Journal Of Cardiac Failure 2022, 28: s65. DOI: 10.1016/j.cardfail.2022.03.165.Peer-Reviewed Original ResearchLength of stayHeart transplantationHospital mortalityIndex hospitalizationLVAD implantationLonger median LOSMedian LOSLonger LOSPost-discharge utilizationNational Inpatient SampleHospitalization volumeInpatient mortalityHispanic patientsAsian patientsInpatient SampleHospitalizationMortalityStudy periodUS trendsPatientsTransplantationAdmissionLVADImplantationHigh percentageHeart Failure Spending Function: An Investment Framework for Sequencing and Intensification of Guideline-Directed Medical Therapies
Allen LA, Teerlink JR, Gottlieb SS, Ahmad T, Lam CSP, Psotka MA. Heart Failure Spending Function: An Investment Framework for Sequencing and Intensification of Guideline-Directed Medical Therapies. Circulation Heart Failure 2022, 15: e008594. PMID: 35000432, DOI: 10.1161/circheartfailure.121.008594.Peer-Reviewed Original ResearchConceptsGuideline-directed medical therapyMedical therapyReduced ejection fractionHealth care delivery researchAdverse eventsCardiac benefitsSerum creatinineBlood pressureEjection fractionHeart failureRoutine carePatient burdenHeart rateNew therapiesPatient harmHigh dosesPatientsPsychosocial domainsPocket costsTherapeutic opportunitiesClinical useTherapyNew drugsPhysiological domainsSpending function
2021
Trends and Outcomes of Cardiac Transplantation in the Lowest Urgency Candidates
Fuery MA, Chouairi F, Natov P, Bhinder J, Rose Chiravuri M, Wilson L, Clark KA, Reinhardt SW, Mullan C, Miller PE, Davis RP, Rogers JG, Patel CB, Sen S, Geirsson A, Anwer M, Desai N, Ahmad T. Trends and Outcomes of Cardiac Transplantation in the Lowest Urgency Candidates. Journal Of The American Heart Association 2021, 10: e023662. PMID: 34743559, PMCID: PMC9075266, DOI: 10.1161/jaha.121.023662.Peer-Reviewed Original ResearchConceptsLow-urgency patientsHigh-urgency patientsUrgency patientsCardiac transplantationAllocation system changeLonger waitlist timesOrgan Sharing databaseTime of transplantationCardiac transplantation candidatesNew allocation systemBaseline recipientPosttransplantation outcomesPosttransplantation survivalAdditional comorbiditiesClinical characteristicsConclusions PatientsHepatitis CIschemic timeTransplantation candidatesSharing databaseWaitlist timeWaitlist survivalUnited NetworkRetrospective analysisPatientsTrends in transcatheter and surgical aortic valve replacement in the United States, 2008-2018
Clark KA, Chouairi F, Kay B, Reinhardt SW, Miller PE, Fuery M, Mullan CW, Guha A, Ahmad T, Desai NR. Trends in transcatheter and surgical aortic valve replacement in the United States, 2008-2018. American Heart Journal 2021, 243: 87-91. PMID: 34571040, DOI: 10.1016/j.ahj.2021.03.017.Peer-Reviewed Original ResearchCannabis 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 dataCUDCannabisEvaluation of Racial and Ethnic Disparities in Cardiac Transplantation
Chouairi F, Fuery M, Clark KA, Mullan CW, Stewart J, Caraballo C, Clarke J, Sen S, Guha A, Ibrahim NE, Cole RT, Holaday L, Anwer M, Geirsson A, Rogers JG, Velazquez EJ, Desai NR, Ahmad T, Miller PE. Evaluation of Racial and Ethnic Disparities in Cardiac Transplantation. Journal Of The American Heart Association 2021, 10: e021067. PMID: 34431324, PMCID: PMC8649228, DOI: 10.1161/jaha.120.021067.Peer-Reviewed Original ResearchConceptsWhite patientsHispanic patientsBlack patientsCardiac transplantationHeart transplantationHigh riskEthnic disparitiesAdult heart recipientsAllocation system changePost-transplant deathPost-transplant mortalityOrgan Sharing databasePost-transplantation deathNew allocation systemHeart recipientsDiabetes mellitusRenal diseaseSharing databaseTransplantation ratesUnited NetworkContemporary outcomesPatientsTransplantationDonor characteristicsStudy periodMechanical ventilation at the time of heart transplantation and associations with clinical outcomes
Miller PE, Mullan CW, Chouairi F, Sen S, Clark KA, Reinhardt S, Fuery M, Anwer M, Geirsson A, Formica R, Rogers JG, Desai NR, Ahmad T. Mechanical ventilation at the time of heart transplantation and associations with clinical outcomes. European Heart Journal Acute Cardiovascular Care 2021, 10: 843-851. PMID: 34389855, PMCID: PMC8557439, DOI: 10.1093/ehjacc/zuab063.Peer-Reviewed Original ResearchConceptsHeart transplantationMechanical ventilationSingle-organ heart transplantationMedian waitlist timeOrgan Sharing databaseTime of transplantationMultivariable logistic regressionMultivariable adjustmentWaitlist timeClinical outcomesSharing databasePoor outcomeVentilated patientsUnited NetworkTemporary mechanical supportClinical acuityTransplantationPatientsPrevious dialysisLogistic regressionMortalityStrong associationReasonable outcomesOutcomesAssociationReply Worse Post-Transplant Survival on Patients Bridged With LVAD in the New Heart Transplant Allocation System?
Mullan CW, Ahmad T. Reply Worse Post-Transplant Survival on Patients Bridged With LVAD in the New Heart Transplant Allocation System? JACC Heart Failure 2021, 9: 533-534. PMID: 34210393, DOI: 10.1016/j.jchf.2021.05.003.Commentaries, Editorials and LettersThe Impact of Depression on Outcomes in Patients With Heart Failure and Reduced Ejection Fraction Treated in the GUIDE-IT Trial
Chouairi F, Fuery MA, Mullan CW, Caraballo C, Sen S, Maulion C, Wilkinson ST, Surti T, McCullough M, Miller PE, Pacor J, Leifer ES, Felker GM, Velazquez EJ, Fiuzat M, O'Connor CM, Januzzi JL, Desai NR, Ahmad T. The Impact of Depression on Outcomes in Patients With Heart Failure and Reduced Ejection Fraction Treated in the GUIDE-IT Trial. Journal Of Cardiac Failure 2021, 27: 1359-1366. PMID: 34166799, DOI: 10.1016/j.cardfail.2021.06.008.Peer-Reviewed Original ResearchConceptsGuideline-directed medical therapyReduced ejection fractionAmino-terminal pro-B-type natriuretic peptide levelsPro-B-type natriuretic peptide levelsGUIDE-IT trialNatriuretic peptide levelsHeart failureEjection fractionClinical outcomesPeptide levelsOptimal guideline-directed medical therapyCox proportional hazards regression modelingProportional hazards regression modelingImpact of depressionHistory of depressionCardiovascular deathCause hospitalizationCause mortalityOverall cohortMedical therapyAdverse outcomesTarget dosesPatientsMental healthTime pointsNational 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 diseaseHospitalizationPatientsMortalityElectronic health record risk score provides earlier prognostication of clinical outcomes in patients admitted to the cardiac intensive care unit
Kunitomo Y, Thomas A, Chouairi F, Canavan ME, Kochar A, Khera R, Katz JN, Murphy C, Jentzer J, Ahmad T, Desai NR, Brennan J, Miller PE. Electronic health record risk score provides earlier prognostication of clinical outcomes in patients admitted to the cardiac intensive care unit. American Heart Journal 2021, 238: 85-88. PMID: 33891906, DOI: 10.1016/j.ahj.2021.04.004.Peer-Reviewed Original ResearchConceptsCardiac intensive care unitIntensive care unitRothman IndexCare unitRisk scoreModern cardiac intensive care unitSequential Organ Failure Assessment scoreOrgan Failure Assessment scoreElectronic health recordsCICU mortalityCICU patientsSOFA scoreCICU admissionClinical outcomesEarly prognosticationObservational studyPrognostic abilityAssessment scoresOutcome predictionHealth recordsGood calibrationSuperior discriminationPatientsAdmissionScores
2020
Conduct of Clinical Trials in the Era of COVID-19 JACC Scientific Expert Panel
Psotka MA, Abraham WT, Fiuzat M, Filippatos G, Lindenfeld J, Ahmad T, Bhatt AS, Carson PE, Cleland JGF, Felker GM, Januzzi JL, Kitzman DW, Leifer ES, Lewis EF, McMurray JJV, Mentz RJ, Solomon SD, Stockbridge N, Teerlink JR, Vaduganathan M, Vardeny O, Whellan DJ, Wittes J, Anker SD, O'Connor CM. Conduct of Clinical Trials in the Era of COVID-19 JACC Scientific Expert Panel. Journal Of The American College Of Cardiology 2020, 76: 2368-2378. PMID: 33183511, PMCID: PMC7836888, DOI: 10.1016/j.jacc.2020.09.544.Peer-Reviewed Original ResearchConceptsAcademic Research ConsortiumClinical trialsExpert consensus recommendationsResearch ConsortiumScientific Expert PanelHeart failureCardiovascular diseaseConsensus recommendationsClinical careDrug AdministrationCoronavirus diseaseU.S. FoodExpert panelNational InstituteTrialsCOVID-19 pandemicDiseaseAcademic investigatorsHeartKey recommendationsSeries of meetingsPandemicPatientsAdministrationCare