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 cohortPolygenic score integrating neurodegenerative and vascular risk informs dementia risk stratification
D'Aoust T, Clocchiatti‐Tuozzo S, Rivier C, Mishra A, Hachiya T, Grenier‐Boley B, Soumaré A, Duperron M, Le Grand Q, Bouteloup V, Proust‐Lima C, Samieri C, Neuffer J, Sargurupremraj M, Chêne G, Helmer C, Thibault M, Amouyel P, Lambert J, Kamatani Y, Jacqmin‐Gadda H, Tregouët D, Inouye M, Dufouil C, Falcone G, Debette S. Polygenic score integrating neurodegenerative and vascular risk informs dementia risk stratification. Alzheimer's & Dementia 2025, 21: e70014. PMID: 40042447, PMCID: PMC11881617, DOI: 10.1002/alz.70014.Peer-Reviewed Original ResearchConceptsOlder community-dwelling peopleCommunity-dwelling peopleDementia risk stratificationVascular contribution to dementiaAssociated with dementia riskGenetic riskDementia clinical trialsApo E4Polygenic risk scoresGenetic risk groupsHigh-risk individualsDementia riskImprove risk predictionEast Asian ancestryAD-PRSPopulation-basedPolygenic scoresRisk stratificationMemory-clinic patientsPrevention programsClinical risk factorsDementiaClinical participantsRisk scoreAlzheimer's diseaseAdvancing drug development in myelodysplastic syndromes
Mina A, McGraw K, Cunningham L, Kim N, Jen E, Calvo K, Ehrlich L, Aplan P, Garcia-Manero G, Foran J, Garcia J, Zeidan A, DeZern A, Komrokji R, Sekeres M, Scott B, Buckstein R, Tinsley-Vance S, Verma A, Wroblewski T, Pavletic S, Norsworthy K. Advancing drug development in myelodysplastic syndromes. Blood Advances 2025, 9: 1095-1104. PMID: 39786387, PMCID: PMC11914162, DOI: 10.1182/bloodadvances.2024014865.Peer-Reviewed Original ResearchConceptsAllogeneic hematopoietic stem cell transplantationHematopoietic stem cell transplantationEnd pointsStem cell malignanciesTime-to-event end pointsStem cell transplantationUS Food and Drug AdministrationTreatment of patientsFood and Drug AdministrationClinical trial designDrug developmentMyelodysplastic syndromeCell transplantationCurative therapyRisk stratificationPoor prognosisCell malignancyTransformative therapiesDrug AdministrationBiomarker developmentResponse definitionsTrial designFunctional assessmentTherapyPatientsNovel F-18-labeled Tracers of Sympathetic Function for Improved Risk Stratification and Clinical Outcomes
Zohora F, Nazari M, Sinusas A. Novel F-18-labeled Tracers of Sympathetic Function for Improved Risk Stratification and Clinical Outcomes. Current Cardiology Reports 2025, 27: 61. PMID: 40009333, DOI: 10.1007/s11886-025-02197-9.Peer-Reviewed Original ResearchConceptsSudden cardiac deathImplantable cardioverter defibrillatorPositron emission tomographyImplantable cardioverter defibrillator placementMyocardial sympathetic denervationRisk stratificationSympathetic denervationIschemic heart diseaseHeart failurePrevention of sudden cardiac deathRisk stratification of patientsHeart diseaseOptimal risk stratificationLow ejection fractionStratification of patientsSympathetic nerve densityImprove risk stratificationHeart failure patientsPositron emission tomography radiotracersPredicting sudden cardiac deathPositron emission tomography tracersPrognostic benefitEjection fractionClinically practical approachNerve densityAtrial Functional Tricuspid Regurgitation Contemporary Characteristics, Outcomes, and Novel Risk Score
Fava A, Nakhla M, Hajj Ali A, Akintoye E, Akyuz K, Arockiam A, Haroun E, El Dahdah J, Liao Y, Popovic Z, Gillinov M, Pettersson G, Griffin B, Desai M, Wang T. Atrial Functional Tricuspid Regurgitation Contemporary Characteristics, Outcomes, and Novel Risk Score. JACC Advances 2025, 4: 101623. PMID: 40009906, PMCID: PMC11908566, DOI: 10.1016/j.jacadv.2025.101623.Peer-Reviewed Original ResearchRegurgitant orifice areaRight atrial volumeAF-TRTricuspid regurgitationAtrial volumeOrifice areaAtrial functional tricuspid regurgitationAssociated with 1-year mortalityEffective regurgitant orifice areaRisk scoreFunctional tricuspid regurgitationSevere tricuspid regurgitationEffective regurgitant orificeRight heart failureCohort of patientsSystolic pressure ratioIncreasing clinical recognitionMultivariate logistic regressionMedian survivalAdverse prognosticatorEchocardiographic characteristicsConsecutive patientsValve lesionsPoor prognosisRisk stratificationAdvancements in the Diagnosis, Treatment, and Risk Stratification of Non-Muscle Invasive Bladder Cancer
Smani S, DuBois J, Zhao K, Sutherland R, Rahman S, Humphrey P, Hesse D, Tan W, Martin D, Lokeshwar S, Ghali F. Advancements in the Diagnosis, Treatment, and Risk Stratification of Non-Muscle Invasive Bladder Cancer. Current Oncology Reports 2025, 1-11. PMID: 39976835, DOI: 10.1007/s11912-025-01645-7.Peer-Reviewed Original ResearchNon-muscle invasive bladder cancerInvasive bladder cancerBladder cancerRisk stratificationBCG-unresponsive NMIBCEarly radical cystectomyTERT promoter mutationsHigh-risk casesLong-term outcomesNadofaragene firadenovecIntravesical therapyTransurethral resectionRadical cystectomyTreatment paradigmStratified careReduce overtreatmentProgression riskIntegration of biomarkersPromoter mutationsClinical trialsTherapeutic strategiesReviewThis reviewPersonalized treatmentAdverse effectsClinical careThe role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment
Tatsuoka Y, He Z, Lin H, Notarianni A, Carr Z. The role of right ventricular systolic pressure and ARISCAT score in perioperative pulmonary risk assessment. Brazilian Journal Of Anesthesiology 2025, 75: 844597. PMID: 39971234, PMCID: PMC11914786, DOI: 10.1016/j.bjane.2025.844597.Peer-Reviewed Original ResearchConceptsRight ventricular systolic pressurePostoperative pulmonary complicationsArea under the curveARISCAT scoreVentricular systolic pressureReceiver operating characteristic curvePulmonary hypertensionRespiratory failureHigh-risk populationPrimary endpointRisk stratificationSurgical proceduresSystolic pressurePostoperative pulmonary complications incidenceSource of increased morbidityAssess Respiratory RiskDiagnosis of PHPreoperative risk assessmentAdjusted multivariable logistic regression modelsMultivariate logistic regression modelComposite of pneumoniaPulmonary complicationsPreoperative investigationsSecondary endpointsPulmonary aspirationUS Geriatric Assessment Practices for Older Adults Undergoing Hematopoietic Cell Transplantation or CAR T- cell therapy: An ASTCT Physician Survey from the Aging Special Interest Group and Committee on Practice Guidelines
Munshi P, Olin R, Wall S, McCurdy S, Al-Juhaishi T, Baker J, Bhatt V, Chokr N, Dahi P, DeFilipp Z, Espinoza-Gutarra M, Farhan S, Gowda L, Hamilton B, Inamoto Y, Jayani R, Kharfan-Dabaja M, Lin R, Meyers G, Mishra A, Murthy H, Nawas M, Rosko A, Ruiz M, Sorror M, Sung A, Carpenter P, Hamadani M, Artz A. US Geriatric Assessment Practices for Older Adults Undergoing Hematopoietic Cell Transplantation or CAR T- cell therapy: An ASTCT Physician Survey from the Aging Special Interest Group and Committee on Practice Guidelines. Transplantation And Cellular Therapy 2025 PMID: 39961473, DOI: 10.1016/j.jtct.2025.02.014.Peer-Reviewed Original ResearchHematopoietic cell transplantationT-cell therapyCAR-T cell therapyCAR-TCell transplantationGeriatric assessmentCellular therapyChimeric antigen T-cell therapyAmerican Society for TransplantationPromote risk stratificationAllo-HCTRisk stratificationCell therapyOlder patientsRoutine GAOlder adultsGa uptakeTherapyPhysician practice patternsTransplantationPractice patternsClinical support staffCross-sectional surveyPhysician membersDomain of GAAcute Myeloid Leukemia: 2025 Update on Diagnosis, Risk‐Stratification, and Management
Shimony S, Stahl M, Stone R. Acute Myeloid Leukemia: 2025 Update on Diagnosis, Risk‐Stratification, and Management. American Journal Of Hematology 2025, 100: 860-891. PMID: 39936576, PMCID: PMC11966364, DOI: 10.1002/ajh.27625.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaTherapeutic management of acute myeloid leukemiaManagement of acute myeloid leukemiaEuropean Leukemia NetworkStem cell cancerTherapeutic decision-makingImmature leukemia cellsExtra-medullary tissuesMRD findingsPrognostic factorsCell cancerTherapeutic algorithmRisk classification algorithmApproved therapiesMyeloid leukemiaResponse assessmentRisk stratificationBone marrowTherapeutic managementMonitoring of disease statusPathophysiological understandingDisease characteristicsMolecular findingsTherapeutic approachesDisease statusIntegration and Potential Applications of Cardiovascular Computed Tomography in Cardio-Oncology
Erbay M, Manubolu V, Stein-Merlob A, Ferencik M, Mamas M, Lopez-Mattei J, Baldassarre L, Budoff M, Yang E. Integration and Potential Applications of Cardiovascular Computed Tomography in Cardio-Oncology. Current Cardiology Reports 2025, 27: 51. PMID: 39932640, PMCID: PMC11814013, DOI: 10.1007/s11886-025-02206-x.Peer-Reviewed Original ResearchConceptsRadiation-induced cardiovascular diseaseCoronary artery diseaseCardiovascular diseaseCardiac massComputed tomographyArtery diseaseChest CT scans of patientsCT scans of patientsIncreased risk of CVDInvasive coronary angiographyRisk of cardiovascular diseaseRisk of complicationsScans of patientsCardiovascular computed tomographySeverity of cardiovascular diseaseNon-invasive imaging toolMonitoring of disease progressionManifestations of diseaseAsymptomatic patientsCardiac deteriorationIschemia evaluationCoronary angiographyPericardial diseaseCardiac changesRisk stratificationLeveraging Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism
Mojibian H, Khosla A. Leveraging Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism. 2025, 1-15. DOI: 10.1007/978-3-030-70904-4_72-1.Peer-Reviewed Original ResearchPreparing for The Silver Tsunami: The Potential for use of Big Data and Artificial Intelligence in Geriatric Anesthesia
Chu L, Kurup V. Preparing for The Silver Tsunami: The Potential for use of Big Data and Artificial Intelligence in Geriatric Anesthesia. Current Anesthesiology Reports 2025, 15: 17. DOI: 10.1007/s40140-024-00674-5.Peer-Reviewed Original ResearchBig data analyticsData analyticsMachine learningPotential of big data analyticsAdoption of MLIntegration of MLData privacyBig DataData scientistsData-driven insightsArtificial intelligenceGeriatric anesthesiaAlgorithmic biasModel interpretationML modelsPreoperative risk stratificationPredicting postoperative complicationsIntraoperative anesthesia managementPostoperative complicationsRespiratory complicationsRisk stratificationElderly patientsDataAdverse outcomesAnesthesia management
2024
Nonlinearity of the Inverse Relationship between High-Density Lipoprotein (HDL) Cholesterol and Incident Cardiovascular Risk: Is It Time to Revisit the “HDL Hypothesis”?
Hashem C, Altin S, Guyton J, Boden W. Nonlinearity of the Inverse Relationship between High-Density Lipoprotein (HDL) Cholesterol and Incident Cardiovascular Risk: Is It Time to Revisit the “HDL Hypothesis”? Journal Of Clinical Lipidology 2024 PMID: 39934033, DOI: 10.1016/j.jacl.2024.12.009.Peer-Reviewed Original ResearchLow HDL-CHDL-C levelsHDL-CAssociated with atherosclerotic cardiovascular diseaseRandomized controlled trialsLow levels of high-density lipoprotein cholesterolLow HDL-C levelsLevels of high-density lipoprotein cholesterolIncident cardiovascular riskLevels of HDL-CReduce ASCVD eventsHigh-density lipoprotein cholesterolOptimal risk stratificationHigh-density lipoprotein (HDLStatin-based therapyHDL hypothesisAtherosclerotic cardiovascular diseaseLipoprotein (HDLRisk-enhancing factorsIncident cardiovascular eventsCholesterol guidelinesRisk stratificationCardiovascular eventsLipoprotein cholesterolCardiovascular riskNon-alcohol-related cirrhosis leads to higher 6-week mortality after acute variceal bleeding than alcohol-related cirrhosis
Wong Y, Buckholz A, Sim A, Teng M, Wong R, Curry M, De Roza M, Baffy G, Teoh X, Chak E, Rustagi T, Chang J, Wong G, Tandon P, Garcia-Tsao G, Abraldes J, Mohanty A, Fortune B. Non-alcohol-related cirrhosis leads to higher 6-week mortality after acute variceal bleeding than alcohol-related cirrhosis. Clinical Gastroenterology And Hepatology 2024 PMID: 39675401, DOI: 10.1016/j.cgh.2024.10.022.Peer-Reviewed Original ResearchAcute variceal bleedingALD cirrhosisVariceal bleedingPrognostic scoreCirrhosis etiologyPrediction of 6-week mortalityAcute variceal bleeding patientsNon-alcohol-related cirrhosisSeverity of liver diseaseEtiology of liver cirrhosisPropensity-score matching analysisMultivariate logistic regressionMulti-center cohortAVB patientsOverall cohortRisk stratificationLiver cirrhosisPatient populationCirrhosisLiver diseasePatientsAggregate cohortCohortMatching analysisEtiologyMitochondrial heteroplasmy improves risk prediction for myeloid neoplasms
Hong Y, Pasca S, Shi W, Puiu D, Lake N, Lek M, Ru M, Grove M, Prizment A, Joshu C, Platz E, Guallar E, Arking D, Gondek L. Mitochondrial heteroplasmy improves risk prediction for myeloid neoplasms. Nature Communications 2024, 15: 10133. PMID: 39578475, PMCID: PMC11584845, DOI: 10.1038/s41467-024-54443-3.Peer-Reviewed Original ResearchConceptsClonal hematopoiesis of indeterminate potentialClonal hematopoiesisVariant allele fractionHeteroplasmic variantsIndeterminate potentialMyeloid neoplasmsHeteroplasmyMultiple mutationsAllele fractionMutationsHigh-risk groupPathogenic risk factorsMarkersRisk score modelDeleteriousnessSpliceosomeHematologic malignanciesRisk stratificationNeoplasm developmentNeoplasmsNeoplasm incidenceRisk factorsVariantsVenous Thromboembolism Prophylaxis in Pregnancy: Why are the U.S. and European Guidelines so Different? Recent Studies and Clinical Insights
Piacquadio M, Paidas M. Venous Thromboembolism Prophylaxis in Pregnancy: Why are the U.S. and European Guidelines so Different? Recent Studies and Clinical Insights. Current Obstetrics And Gynecology Reports 2024, 14: 3. DOI: 10.1007/s13669-024-00407-9.Peer-Reviewed Original ResearchLow-molecular-weight heparinVenous thromboembolism prophylaxisVenous thromboembolismObstetric patientsEuropean guidelinesPostpartum periodHospitalized obstetric patientsMolecular weight heparinMechanical VTE prophylaxisVTE risk stratificationRandomized controlled studyObstetric populationPregnant populationRisk stratificationThromboembolism prophylaxisVTE prophylaxisInstitutional protocolMechanical prophylaxisWeight heparinProphylaxisAnticoagulant agentsPregnancyPoor adherenceControlled studiesPatientsPreoperative Multivariable Model for Risk Stratification of Hypoxemia During One-Lung Ventilation.
Zorrilla-Vaca A, Grant M, Mendez-Pino L, Rehman M, Sarin P, Nasra S, Varelmann D. Preoperative Multivariable Model for Risk Stratification of Hypoxemia During One-Lung Ventilation. Anesthesia & Analgesia 2024 PMID: 39773746, DOI: 10.1213/ane.0000000000007306.Peer-Reviewed Original ResearchOne-lung ventilationArea under the receiver operating curveRisk of hypoxemiaIntraoperative hypoxemiaRisk stratificationClinical variablesRisk of intraoperative hypoxemiaEpisodes of oxygen desaturationBody mass index >Preoperative clinical variablesStratification modelLung perfusion scanElective lung surgeryLateral decubitus positionPositive predictive valueRetrospective cohort studyCongestive heart failureHighest Youden indexPreoperative multivariable modelLogistic regressionRisk stratification modelRight-sided surgeryMultivariate logistic regressionIncidence of hypoxemiaDouble lumen tubeNew Horizons in Nuclear Cardiology: Imaging of Peripheral Arterial Disease
Callegari S, Mena-Hurtado C, Smolderen K, Thorn S, Sinusas A. New Horizons in Nuclear Cardiology: Imaging of Peripheral Arterial Disease. Journal Of Nuclear Cardiology 2024, 102079. PMID: 39549830, DOI: 10.1016/j.nuclcard.2024.102079.Peer-Reviewed Original ResearchPeripheral arterial diseaseDiagnostic modalitiesRisk stratificationArtery diseaseEarly diagnosisImprove risk stratificationAssociated with higher ratesLower extremity peripheral arterial diseaseEvaluation of therapyClinically relevant areasPreclinical modelsObstructive atherosclerotic diseaseClinical studiesArtery stenosisMicrovascular diseasePreprocedural assessmentPeripheral vasculaturePET imagingAtherosclerotic diseaseNuclear cardiologyTherapeutic interventionsClinical diseaseDiseaseComplex physiologyPerfusionAn Artificial Intelligence-Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma.
Li Q, Zhang W, Liao T, Gao Y, Zhang Y, Jin A, Ma B, Qu N, Zhang H, Zheng X, Li D, Yun X, Zhao J, Yu H, Gao M, Wang Y, Qian B. An Artificial Intelligence-Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma. Clinical Cancer Research 2024, 31: 139-150. PMID: 39535738, DOI: 10.1158/1078-0432.ccr-24-2356.Peer-Reviewed Original ResearchPapillary thyroid carcinomaPapillary thyroid carcinoma patientsDisease-free survivalThyroid carcinomaInflammatory subtypeRadiomics signatureTreatment responseSubtype of papillary thyroid carcinomaTianjin Medical University Cancer Institute and HospitalAssociated with poor disease-free survivalFudan University Shanghai Cancer CenterPoor disease-free survivalCancer Institute and HospitalTreatment response of patientsComplications risk stratificationShanghai Cancer CenterAnti-inflammatory traditional Chinese medicinesResponse of patientsPreoperative ultrasound imagingValidation set 2Clinicopathological variablesTraining set 1Evaluate prognosisPoor prognosisRisk stratification
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