2025
Development and Multinational Validation of an Ensemble Deep Learning Algorithm for Detecting and Predicting Structural Heart Disease Using Noisy Single-lead Electrocardiograms
Aminorroaya A, Dhingra L, Pedroso A, Shankar S, Coppi A, Khunte A, Foppa M, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Development and Multinational Validation of an Ensemble Deep Learning Algorithm for Detecting and Predicting Structural Heart Disease Using Noisy Single-lead Electrocardiograms. European Heart Journal - Digital Health 2025, ztaf034. DOI: 10.1093/ehjdh/ztaf034.Peer-Reviewed Original ResearchDetectable structural heart diseaseStructural heart diseaseCommunity-based screeningLeft-sided valvular diseaseHeart diseaseELSA-BrasilYale-New Haven HospitalAI-ECG algorithmDeep learning algorithmsPopulation-based cohortSevere LVHEchocardiographic dataPredictive biomarkersHospital-based sitesNew Haven HospitalRisk stratificationValvular diseaseEnsemble deep learning algorithmUK BiobankCommunity hospitalLead I ECGEnsemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD
Dhingra L, Aminorroaya A, Sangha V, Pedroso A, Shankar S, Coppi A, Foppa M, Brant L, Barreto S, Ribeiro A, Krumholz H, Oikonomou E, Khera R. Ensemble Deep Learning Algorithm for Structural Heart Disease Screening Using Electrocardiographic Images PRESENT SHD. Journal Of The American College Of Cardiology 2025, 85: 1302-1313. PMID: 40139886, DOI: 10.1016/j.jacc.2025.01.030.Peer-Reviewed Original ResearchConceptsStructural heart diseaseYale-New Haven HospitalTransthoracic echocardiogramRisk stratificationHeart failureLeft-sided valvular diseaseSevere left ventricular hypertrophyLeft ventricular ejection fractionReceiver-operating characteristic curveVentricular ejection fractionLeft ventricular hypertrophyHeart disease screeningELSA-BrasilEnsemble deep learning algorithmRisk of deathConvolutional neural network modelEjection fractionEnsemble deep learning approachVentricular hypertrophyDeep learning algorithmsNew Haven HospitalDeep learning approachValvular diseaseNeural network modelClinical cohort
2024
Characterizing an Underdiagnosed Condition: Hemophilia in Females
Restrepo V, Prozora S, Louizos E, Van Doren L, Bona R. Characterizing an Underdiagnosed Condition: Hemophilia in Females. Blood 2024, 144: 2584-2584. DOI: 10.1182/blood-2024-210735.Peer-Reviewed Original ResearchPost-partum hemorrhageHeavy menstrual bleedingIron deficiency anemiaLow factor levelsClotting factor levelsHemophilia treatment centersHaemophilia carriersBlood transfusionHemophilia RegistryFactor deficiencyFactor levelsRates of heavy menstrual bleedingFrequency of blood transfusionLife-threatening bleedingFactor replacement therapyManagement of HCAnti-fibrinolytic agentDiagnosis of HCAge of diagnosisHemophilia B carriersYale-New Haven HospitalHealthcare disparitiesNormal factor VIIIHemophilia A carriersFactor activityOverall survival in TP53-mutated AML and MDS
Puzo C, Hager K, Rinder H, Weinberg O, Siddon A. Overall survival in TP53-mutated AML and MDS. Annals Of Hematology 2024, 103: 5359-5369. PMID: 39443370, DOI: 10.1007/s00277-024-06054-7.Peer-Reviewed Original ResearchOverall survivalBlast countTP53 mutationsSignificant predictors of OSP53 mutation typePredictors of OSAggressive disease biologyRetrospective chart reviewKaplan-Meier curvesYale-New Haven HospitalNext generation sequencingCox proportional hazards modelsProportional hazards modelComplex karyotypePoor OSP53 mutationsWHO criteriaChart reviewNew Haven HospitalPoor prognosisCo-mutationsPathogenic mutationsAMLICCS guidelinesMutation typeAutomated 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, 13: 75-87. 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 qualityThe effect of plerixafor on autologous stem cell mobilization, cell viability, and apheresis challenges
Puzo C, Li P, Tormey C, Siddon A. The effect of plerixafor on autologous stem cell mobilization, cell viability, and apheresis challenges. Lab Medicine 2024, 56: 187-194. PMID: 39303673, DOI: 10.1093/labmed/lmae080.Peer-Reviewed Original ResearchAutologous stem cell transplantationHematopoietic stem cellsMultiple myelomaG-CSFMobilization failureDiffuse large B-cell lymphomaAutologous stem cell mobilizationLarge B-cell lymphomaGranulocyte colony-stimulating factorAutologous stem cell transplant patientsEfficacy of plerixaforStem cell mobilizationB-cell lymphomaStem cell transplantationEffects of plerixaforRetrospective chart reviewColony-stimulating factorYale-New Haven HospitalCell viabilityMultiple risk factorsHodgkin lymphomaNon-HodgkinMobilization regimenCell transplantationPlerixafor0488 Exploring Study Recruitment Trends in the Acute Post-Stroke Setting
Schwarz J, Masroor K, Radulescu R, Tsang S, Sheth K, Redeker N, Yaggi H, Geer J. 0488 Exploring Study Recruitment Trends in the Acute Post-Stroke Setting. Sleep 2024, 47: a210-a210. DOI: 10.1093/sleep/zsae067.0488.Peer-Reviewed Original ResearchContinuous positive airway pressureObstructive sleep apneaPositive airway pressureAcute ischemic strokeAirway pressureUpper airway closureSleep-disordered breathingYale-New Haven HospitalCerebral blood flowOSA screeningOSA treatmentSleep apneaImpact cerebral blood flowAcademic medical centerSympathetic activityClinical trialsPatient populationHemodynamic changesRisk factorsPatientsFunctional recoveryExclusion criteriaAirway closureCardiovascular diseaseBlood flow0486 Performing Polysomnography in the Acute Post-stroke Setting
Masroor K, Schwarz J, Radulescu R, Tsang S, Sheth K, Redeker N, Yaggi H, Geer J. 0486 Performing Polysomnography in the Acute Post-stroke Setting. Sleep 2024, 47: a209-a209. DOI: 10.1093/sleep/zsae067.0486.Peer-Reviewed Original ResearchObstructive sleep apneaSleep apneaRates of obstructive sleep apneaSymptoms of obstructive sleep apneaSevere obstructive sleep apneaObstructive sleep apnea diagnosisAcute settingSleep-disordered breathingPercentage of patientsProportion of patientsYale-New Haven HospitalAHI cutoffOSA prevalenceOSA diagnosisPreventing recurrent strokeImprove stroke recoveryPolysomnography testNew Haven HospitalPolysomnographyScreening patientsTherapeutic windowApneaPatientsRisk factorsMedical recordsEnvironmental Impact of a Direct Laryngoscopy: Opportunities for Pollution Mitigation
Filley G, Kayastha D, Hayes W, Mehra S, Sherman J, Eckelman M. Environmental Impact of a Direct Laryngoscopy: Opportunities for Pollution Mitigation. The Laryngoscope 2024, 134: 3206-3214. PMID: 38379176, DOI: 10.1002/lary.31341.Peer-Reviewed Original ResearchGlobal warming potentialLife cycle assessmentEnvironmental impact categoriesImpact categoriesEnvironmental impactWater consumptionAlternative scenariosCycle assessmentPollution mitigationWarming potentialHuman healthDecontamination standardsNon-sterileYale-New Haven HospitalEnvironmental benefitsDecontaminationTertiary medical centerWaterSteam sterilizationCenters for Disease Control (CDCPollutionHigh-level disinfectionSurgical proceduresDirect laryngoscopySurgical towelsImproving Anesthesia Start Time Documentation Through a Departmental Education Initiative at Yale New Haven Hospital, New Haven, United States
Warren M, Mehta S, Glowka L, Goncalves O, Gutman E, Schonberger R. Improving Anesthesia Start Time Documentation Through a Departmental Education Initiative at Yale New Haven Hospital, New Haven, United States. Cureus 2024, 16: e54351. PMID: 38500895, PMCID: PMC10945460, DOI: 10.7759/cureus.54351.Peer-Reviewed Original ResearchYale-New Haven HospitalEducational emailCenters for Medicare & Medicaid ServicesEducational initiativesResults Baseline dataQuality improvement studyQuality improvement initiativesQuality improvement effortsNew HavenAnesthesia startUnited StatesImprovement initiativesMedicaid ServicesAnesthetic servicesImprovement studyImprovement effortsIn-room timeDocumentation accuracyAmerican Society of AnesthesiologistsTime documentationPatient factorsBaseline dataPreoperative holding areaNew Haven HospitalAnesthesia practitioners
2023
Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke
Forman R, Okumu R, Mageid R, Baker A, Neu D, Parker R, Peyravi R, Schindler J, Sansing L, Sheth K, de Havenon A, Jasne A, Narula R, Wira C, Warren J, Sharma R. Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke. Neurology 2023, 102: e207764. PMID: 38165368, PMCID: PMC10834135, DOI: 10.1212/wnl.0000000000207764.Peer-Reviewed Original ResearchConceptsEmergency department arrival timesEmergency medical servicesLate presentationAcute ischemic stroke therapyYale-New Haven HospitalGuidelines-Stroke registryNeighborhood-level socioeconomic factorsPatient-level factorsRetrospective observational studyIschemic stroke therapyMixed-effects logistic regression modelNon-white patientsNon-white raceUnivariate logistic regressionNew Haven HospitalLogistic regression modelsHospital presentationTreatment ineligibilityStroke RegistryAcute strokeHospital arrivalStroke therapyUnivariate analysisObservational studyPatientsImpact of sex on Transcatheter aortic valve replacement outcomes: Results of a single-center study
See C, Wang Y, Yang Y, Tirziu D, Papoutsidakis N, Francese D, Kaple R, Cleman M, Lansky A, Forrest J. Impact of sex on Transcatheter aortic valve replacement outcomes: Results of a single-center study. International Journal Of Cardiology 2023, 398: 131643. PMID: 38065329, DOI: 10.1016/j.ijcard.2023.131643.Peer-Reviewed Original ResearchNew-generation valvesTranscatheter Aortic Valve Replacement OutcomesImpact of sexTAVR outcomesArtery diseaseYale-New Haven HospitalSTS mortality scorePeripheral artery diseaseSingle-center studyCoronary artery diseaseKaplan-Meier curvesLog-rank testNew Haven HospitalSex-based disparitiesSignificant differencesCardiovascular comorbiditiesSAPIEN 3Transfemoral accessSAPIEN XTConsecutive patientsCox modelingMortality scoreEvolut RFemale sexEvolut PRO1474. Getting to Zero: Our Journey to Decrease CABG Deep Sternal Wound Infections
Gentile P, Roberts S, Wilson E, Martinello R. 1474. Getting to Zero: Our Journey to Decrease CABG Deep Sternal Wound Infections. Open Forum Infectious Diseases 2023, 10: ofad500.1310. PMCID: PMC10676914, DOI: 10.1093/ofid/ofad500.1310.Peer-Reviewed Original ResearchDeep sternal wound infectionSternal wound infectionSSI bundleWound infectionSurgical site infection rateYale-New Haven HospitalCardiac thoracic surgeryCardiac surgery patientsRetrospective cohort reviewTime of surgeryHigher mortality riskNew Haven HospitalDSWI rateCohort reviewSurgery patientsSerious complicationsEndocrinology teamEpidemiologic evaluationThoracic surgeryMortality riskClinical decreaseConclusion ImplementationInfection rateSurgeryBathing practicesCT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients
Feher A, Pieszko K, Shanbhag A, Lemley M, Bednarski B, Miller R, Huang C, Miras L, Liu Y, Sinusas A, Slomka P, Miller E. CT attenuation correction improves quantitative risk prediction by cardiac SPECT in obese patients. European Journal Of Nuclear Medicine And Molecular Imaging 2023, 51: 695-706. PMID: 37924340, PMCID: PMC11774509, DOI: 10.1007/s00259-023-06484-x.Peer-Reviewed Original ResearchMajor adverse cardiac eventsMyocardial perfusion imagingSPECT myocardial perfusion imagingMACE-free survivalObese patientsPrognostic valueSignificant incremental prognostic valueYale-New Haven HospitalLate coronary revascularizationStress total perfusion deficitAdverse cardiac eventsIncremental prognostic valueNonfatal myocardial infarctionComposite end pointCT myocardial perfusion imagingSuperior prognostic valueSPECT/CT myocardial perfusion imagingTotal perfusion deficitNew Haven HospitalCT attenuation correctionHighest ROC areaStress TPDCoronary revascularizationCardiac eventsPatient populationDetection of Intracerebral Hemorrhage Using Low-Field, Portable Magnetic Resonance Imaging in Patients With Stroke
Mazurek M, Parasuram N, Peng T, Beekman R, Yadlapalli V, Sorby-Adams A, Lalwani D, Zabinska J, Gilmore E, Petersen N, Falcone G, Sujijantarat N, Matouk C, Payabvash S, Sze G, Schiff S, Iglesias J, Rosen M, de Havenon A, Kimberly W, Sheth K. Detection of Intracerebral Hemorrhage Using Low-Field, Portable Magnetic Resonance Imaging in Patients With Stroke. Stroke 2023, 54: 2832-2841. PMID: 37795593, PMCID: PMC11103256, DOI: 10.1161/strokeaha.123.043146.Peer-Reviewed Original ResearchConceptsMagnetic resonance imagingIntracerebral hemorrhageClinical informationYale-New Haven HospitalTHU313 Lactation As A Possible Protective Factor For Postpartum Diabetes In Women With Gestational Diabetes Mellitus: A Retrospective Analysis
Dávila-Parrilla V, Stanton C, Hackerson C, Song H, Hens J, Wysolmerski J, Merriam A, De Aguiar R. THU313 Lactation As A Possible Protective Factor For Postpartum Diabetes In Women With Gestational Diabetes Mellitus: A Retrospective Analysis. Journal Of The Endocrine Society 2023, 7: bvad114.747. PMCID: PMC10553496, DOI: 10.1210/jendso/bvad114.747.Peer-Reviewed Original ResearchGestational diabetes mellitusYale-New Haven HospitalInfant feeding practicesExclusive lactationFeeding practicesDiabetes mellitusRetrospective analysisOral glucose tolerance test resultsGlucose tolerance test resultsSignificant differencesExclusive formula feedingWeek postpartum visitPre-pregnancy BMITolerance test resultsDevelopment of T2DMPre-diabetic statusPopulation of womenNew Haven HospitalAfrican AmericansPossible protective factorDM statusPostpartum visitChart reviewFormula feedingDietary modification“Big Data” Analyses Underlie Clinical Discoveries at the Aortic Institute
Zafar M, Ziganshin B, Li Y, Ostberg N, Rizzo J, Tranquilli M, Mukherjee S, Elefteriades J. “Big Data” Analyses Underlie Clinical Discoveries at the Aortic Institute. The Yale Journal Of Biology And Medicine 2023, 96: 427-440. PMID: 37780996, PMCID: PMC10524815, DOI: 10.59249/lndz2964.Peer-Reviewed Original ResearchConceptsBig dataArtificial intelligenceThoracic aortic aneurysmArtificial intelligence techniquesData setsAortic aneurysmLarge clinical data setsIntelligence techniquesAdvanced machineYale-New Haven HospitalClinical data setsAortic aneurysm patientsAortic root dilatationBicuspid aortic valveProspective clinical databaseNew Haven HospitalLarge genetic data setsIntelligenceSequencing filesThoracoabdominal aortaAortic dilatationMale patientsRisk prognosticationRoot dilatationSurgical treatmentAdvance care planning and hospital outcomes in solid tumour oncology inpatients
Qeska D, Chow R, Balboni T, Kapo J, Zimmermann C, Prsic E. Advance care planning and hospital outcomes in solid tumour oncology inpatients. BMJ Supportive & Palliative Care 2023, 14: e541-e544. PMID: 37500567, DOI: 10.1136/spcare-2023-004396.Peer-Reviewed Original ResearchAdvance care planningHospital mortalityED visitsEmergency departmentCare planningYale-New Haven HospitalObservational cohort analysisIntensive care unitMultivariable logistic regressionSolid tumor malignanciesNew Haven HospitalDecreased readmissionsHospital outcomesOncology inpatientsPatient characteristicsACP documentationHospital readmissionLonger LOSCare unitOncology careRothman IndexCohort analysisPatientsTumor malignancyInpatient teamsDetection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Sangha V, Nargesi A, Dhingra L, Khunte A, Mortazavi B, Ribeiro A, Banina E, Adeola O, Garg N, Brandt C, Miller E, Ribeiro A, Velazquez E, Giatti L, Barreto S, Foppa M, Yuan N, Ouyang D, Krumholz H, Khera R. Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. Circulation 2023, 148: 765-777. PMID: 37489538, PMCID: PMC10982757, DOI: 10.1161/circulationaha.122.062646.Peer-Reviewed Original ResearchConceptsLV systolic dysfunctionYale-New Haven HospitalVentricular systolic dysfunctionSystolic dysfunctionLV ejection fractionBrazilian Longitudinal StudyNew Haven HospitalEjection fractionCardiology clinicRegional hospitalLeft ventricular systolic dysfunctionCedars-Sinai Medical CenterAdult Health (ELSA-Brasil) cohortIllness Perception and the Impact of a Definitive Diagnosis on Women With Ischemia and No Obstructive Coronary Artery Disease: A Qualitative Study.
Tseng L, Göç N, Schwann A, Cherlin E, Kunnirickal S, Odanovic N, Curry L, Shah S, Spatz E. Illness Perception and the Impact of a Definitive Diagnosis on Women With Ischemia and No Obstructive Coronary Artery Disease: A Qualitative Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: 521-529. PMID: 37476997, DOI: 10.1161/circoutcomes.122.009834.Peer-Reviewed Original ResearchConceptsObstructive coronary artery diseaseCoronary function testingCoronary artery diseaseInvasive coronary angiographyArtery diseaseCoronary angiographyFunction testingDefinitive diagnosisYale-New Haven HospitalNon-Hispanic blacksMore patient-centered careNew Haven HospitalPatient-centered careStructured telephone interviewQuality of lifeHealth care experiencesNon-Hispanic whitesGroup of womenCoronary functionIllness perceptionsMean ageINOCAUncertain causeMultidisciplinary teamPatient care
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