2025
Unveiling the shared etiology between gastrointestinal disorders and valvular heart diseases through a genome-wide pleiotropy study
Xu J, Liu Z, Wu L, Pei F, Jiang H, Cheng C, Yang W, Yuan J, Polimanti R, Yang Y. Unveiling the shared etiology between gastrointestinal disorders and valvular heart diseases through a genome-wide pleiotropy study. Npj Cardiovascular Health 2025, 2: 17. DOI: 10.1038/s44325-025-00054-w.Peer-Reviewed Original ResearchLinkage disequilibrium score regressionGenetic correlationsPleiotropic analysisPleiotropy analysisGut microbiotaGenetic pathwaysMicrobial influenceScore regressionPleiotropic effectsGenetic linkPathwayHeart diseaseButyricicoccusMicrobiotaGenesGutComposite null hypothesisVariantsGastrointestinal disordersCausal effectsLinkageDiseaseIBDArtificial Intelligence in the Management of Heart Failure
Cheema B, Hourmozdi J, Kline A, Ahmad F, Khera R. Artificial Intelligence in the Management of Heart Failure. Journal Of Cardiac Failure 2025 PMID: 40345521, DOI: 10.1016/j.cardfail.2025.02.020.Peer-Reviewed Original ResearchArtificial intelligenceState-of-the-art algorithmsData privacy concernsState-of-the-artManagement of heart failureAI-based toolsElectronic health recordsAI solutionsMultimodal dataHeart failureHealth recordsIntegration challengesHeart failure syndromeStructural heart diseaseHeart failure treatmentIntelligenceImplementation challengesModel performanceModel governanceAdvanced diseaseFailure syndromeCardiomyopathy diagnosisFailure treatmentRisk factorsHeart diseaseDevelopment 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 ECGPopulation‐level impact of semaglutide 2.4 mg in patients with obesity or overweight and cardiovascular disease: A modelling study based on the SELECT trial
Nanna M, Doan Q, Fabricatore A, Faurby M, Henry A, Houshmand‐Oeregaard A, Levine A, Navar A, Sforzolini T, Toliver J. Population‐level impact of semaglutide 2.4 mg in patients with obesity or overweight and cardiovascular disease: A modelling study based on the SELECT trial. Diabetes Obesity And Metabolism 2025, 27: 3442-3452. PMID: 40183412, PMCID: PMC12046440, DOI: 10.1111/dom.16370.Peer-Reviewed Original ResearchConceptsHeart disease eventsRisk of heart diseaseUS adultsDisease eventsFood and Drug AdministrationImpact of semaglutideMedical careNational Health and Nutrition Examination Survey dataHeart diseaseNutrition Examination Survey dataPopulation-based prediction modelSurvey of US adultsCardiovascular diseaseRisk of heart attackFood and Drug Administration indicationsUnited StatesPopulation-level impactUS Food and Drug AdministrationRecurrent CV eventsTrial of patientsAdverse cardiovascular eventsType 2 diabetesAtherosclerotic cardiovascular diseaseHazard ratioInclusion criteriaReturn to Play With Genetic Heart Disease: The Importance of Developing a Personalized Emergency Action Plan
Gray B, Lampert R, Papadakis M. Return to Play With Genetic Heart Disease: The Importance of Developing a Personalized Emergency Action Plan. Circulation 2025, 151: 893-895. PMID: 40163559, DOI: 10.1161/circulationaha.124.072830.Peer-Reviewed Original ResearchDesign and evaluation of valve interventions using ex vivo biomechanical modeling: the Stanford experience
Weininger G, Elde S, Zhu Y, Woo Y. Design and evaluation of valve interventions using ex vivo biomechanical modeling: the Stanford experience. General Thoracic And Cardiovascular Surgery 2025, 73: 375-384. PMID: 40146494, DOI: 10.1007/s11748-025-02127-0.Peer-Reviewed Original ResearchConceptsValve pathologyPrevalence of valvular heart diseaseMitral valve pathologyAortic valve pathologyValvular heart diseaseSurgical repair strategiesValve interventionRepair strategiesHeart diseaseClinical practiceHeart valvesDevice developmentSimulationPathologyStanford experienceHeart simulatorBiomechanical evaluationHarnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care
Aminorroaya A, Biswas D, Pedroso A, Khera R. Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care. Journal Of The Society For Cardiovascular Angiography & Interventions 2025, 4: 102562. PMID: 40230673, PMCID: PMC11993883, DOI: 10.1016/j.jscai.2025.102562.Peer-Reviewed Original ResearchClinical careCommunity-based screening programCare quality outcomesPatient outcomesPatient-focused careHarness artificial intelligenceArtificial intelligencePotential of AIImprove patient outcomesIndividualized clinical careTransform careTransform clinical practiceCardiovascular careScreening programHealth dataQuality outcomesCareClinical workflowClinical tasksAcute coronary syndromeClinical practiceHeart diseaseAI-driven technologiesInterventionAI-enabledThe 2024 US Medical Eligibility Criteria for Contraceptive Use: Application to Practice in the Care of Patients With Cardiac Disease
Shapero K, Madden T. The 2024 US Medical Eligibility Criteria for Contraceptive Use: Application to Practice in the Care of Patients With Cardiac Disease. Circulation Research 2025, 136: 566-582. PMID: 40080533, DOI: 10.1161/circresaha.125.325682.Peer-Reviewed Original ResearchConceptsCardiac disease statesCardiac diseaseIntrauterine deviceMedical Eligibility Criteria for Contraceptive UseContraceptive methodsUS Medical Eligibility CriteriaContraceptive useEffective reversible contraceptive methodsProgestin-only methodsMedical Eligibility CriteriaAssociated with increased riskReversible contraceptive methodsAcquired heart diseaseUS Centers for Disease Control and PreventionDisease statesCenters for Disease Control and PreventionDisease Control and PreventionContraceptive counselingControl and PreventionMaternal mortalityCare of patientsUnplanned pregnancyEligibility CriteriaPatientsHeart diseaseRheumatic heart valve disease: navigating the challenges of an overlooked autoimmune disorder
Lupieri A, Jha P, Nizet V, Dutra W, Nunes M, Levine R, Aikawa E. Rheumatic heart valve disease: navigating the challenges of an overlooked autoimmune disorder. Frontiers In Cardiovascular Medicine 2025, 12: 1537104. PMID: 40182432, PMCID: PMC11966398, DOI: 10.3389/fcvm.2025.1537104.Peer-Reviewed Original ResearchRheumatic heart diseaseGroup A StreptococcalAcute rheumatic feverGlobal health collaborationsMiddle-income countriesHigh-income countriesDifficulty of diagnosisHealth collaborationHealthcare professionalsMitral valveAutoimmune conditionsAutoimmune disordersHealth issuesRheumatic feverLymphangiogenesis processHeart diseaseAdvocacy groupsFostering optimismPreventive measuresYoung peopleDiseaseThe burden of cardiovascular disease in Latin America and the Caribbean, 1990-2019: An analysis of the global burden of disease study
Alhuneafat L, Al Ta'ani O, Arriola-Montenegro J, Al-Ajloun Y, Naser A, Chaponan-Lavalle A, Ordaya-Gonzales K, Pertuz G, Maaita A, Jabri A, Altibi A, Al-Abdouh A, Van't Hof J, Gutierrez Bernal A. The burden of cardiovascular disease in Latin America and the Caribbean, 1990-2019: An analysis of the global burden of disease study. International Journal Of Cardiology 2025, 428: 133143. PMID: 40064205, DOI: 10.1016/j.ijcard.2025.133143.Peer-Reviewed Original ResearchConceptsDisability-adjusted life yearsGlobal Burden of DiseaseBurden of cardiovascular diseaseCardiovascular diseaseRisk factorsMortality-to-incidence ratioGlobal burdenIschemic heart diseaseAge-standardized disability-adjusted life yearsGlobal Burden of Disease StudyDisability-adjusted life year ratesBurden of Disease StudyAge-standardized prevalenceComparative risk assessment frameworkCardiovascular disease prevalenceCardiovascular disease burdenBurden of diseaseLeading risk factorHeart diseaseTailored interventionsCountry-specific variationsElevated BMIRate of strokeHealthcare infrastructureSocio-economic factorsRecessive genetic contribution to congenital heart disease in 5,424 probands
Dong W, Jin S, Sierant M, Lu Z, Li B, Lu Q, Morton S, Zhang J, López-Giráldez F, Nelson-Williams C, Knight J, Zhao H, Cao J, Mane S, Gruber P, Lek M, Goldmuntz E, Deanfield J, Giardini A, Mital S, Russell M, Gaynor J, Cnota J, Wagner M, Srivastava D, Bernstein D, Porter G, Newburger J, Roberts A, Yandell M, Yost H, Tristani-Firouzi M, Kim R, Seidman J, Chung W, Gelb B, Seidman C, Lifton R, Brueckner M. Recessive genetic contribution to congenital heart disease in 5,424 probands. Proceedings Of The National Academy Of Sciences Of The United States Of America 2025, 122: e2419992122. PMID: 40030011, PMCID: PMC11912448, DOI: 10.1073/pnas.2419992122.Peer-Reviewed Original ResearchConceptsRecessive genotypeCHD probandsCongenital heart diseaseAssociated with laterality defectsGene-based analysisAnalyzed whole-exome sequencingLeft-sided congenital heart diseaseWhole-exome sequencingCongenital heart disease phenotypeAshkenazi Jewish probandsOffspring of consanguineous unionsSingle-cell transcriptomicsCHD geneExome sequencingMouse notochordSecreted proteinsConsanguineous familyFounder variantGenesSignificant enrichmentLaterality phenotypesHeart diseaseProbandsAbnormal contractile functionConsanguineous unionsRisk of late sudden death after surgery for congenital heart disease.
Needleman J, Whitehill R, Claxton J, McCracken C, Zmora R, Vinocur J, Oster M, Kochilas L. Risk of late sudden death after surgery for congenital heart disease. Cardiology In The Young 2025, 35: 805-811. PMID: 40012309, DOI: 10.1017/s1047951125000277.Peer-Reviewed Original ResearchCongenital heart diseaseSudden cardiac deathSingle-ventricle physiologyCongenital heart surgerySudden cardiac death riskCardiac deathCardiac death riskHeart surgerySingle-ventricleHeart failurePediatric Cardiac Care Consortium RegistryRisk of late sudden deathLeft-to-right shunt lesionsLeft-to-right shuntCongenital heart disease typeMild congenital heart diseaseHeart diseaseLong-term follow-upDeath riskLate sudden deathGeneral populationCardiac death patientsSudden cardiac death patientsYears of ageMortality ratioNovel 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 densityCACNA1G, A Heterotaxy Candidate Gene, Plays a Role in Ciliogenesis and Left‐Right Patterning in Xenopus tropicalis
Kostiuk V, Kabir R, Akbari R, Rushing A, González D, Kim A, Kim A, Zenisek D, Khokha M. CACNA1G, A Heterotaxy Candidate Gene, Plays a Role in Ciliogenesis and Left‐Right Patterning in Xenopus tropicalis. Genesis 2025, 63: e70009. PMID: 40008628, PMCID: PMC11867209, DOI: 10.1002/dvg.70009.Peer-Reviewed Original ResearchConceptsCongenital heart diseaseCACNA1GLow-voltage-activated calcium channelsExpression of Cacna1gCalcium channelsPatient cohortCardiac functionLR patterningHeterotaxyLR organizerChannel familyCACNA1SHeart diseaseLeft-rightG expressionXenopus tropicalisAbnormal expressionProcess of cilia formationCardiac loopingMultiple organsSignaling cascadesLR asymmetryPatientsT-typeEmbryonic developmentExamining multimorbidity contributors to dementia over time
Klee M, Markwardt S, Elman M, Han L, Leist A, Allore H, Quiñones A. Examining multimorbidity contributors to dementia over time. Alzheimer's & Dementia 2025, 21: e14589. PMID: 39988573, PMCID: PMC11847647, DOI: 10.1002/alz.14589.Peer-Reviewed Original ResearchConceptsAverage attributable fractionDementia incidenceDementia riskAttributable fractionChronic conditionsAssociated with increased risk of dementiaHealth and Retirement Study participantsMedicare fee-for-service beneficiariesAcute myocardial infarctionFee-for-service beneficiariesRetirement Study participantsRisk of dementiaPatterns of comorbiditiesAssociated with increased riskDementia casesMyocardial infarctionClaims algorithmIncident casesADRDStudy participantsIschemic heart diseaseDementiaConfidence intervalsMultimorbidityHeart diseaseCharacteristics and Outcomes of Patients with Cardiogenic Shock and Clinically Significant Valvular Heart Disease: From the Critical Care Cardiology Trials Network
Carnicelli A, Miller P, Berg D, Aliyev N, Alviar C, Bohula E, Chaudhry S, Chonde M, Chow C, Cooper H, Daniels L, Fordyce C, Ghafghazi S, Goldfarb M, Gorder K, Hamilton M, Keane R, Kontos M, Kusner J, Leibner E, Loriaux D, Menon V, Nair R, Newby L, Oduah M, Palazzolo M, Patolia H, Pierce J, Pierce M, Potter B, Proudfoot A, Roswel R, Schnell G, Shaw J, Sidhu K, Sinha S, Varshney A, Katz J, Diepen S, Morrow D. Characteristics and Outcomes of Patients with Cardiogenic Shock and Clinically Significant Valvular Heart Disease: From the Critical Care Cardiology Trials Network. Journal Of Cardiac Failure 2025 PMID: 39970998, DOI: 10.1016/j.cardfail.2025.01.019.Peer-Reviewed Original ResearchValvular heart diseaseCardiac intensive care unitCritical Care Cardiology Trials NetworkCardiogenic shockIn-hospital mortalityClinically significant valvular heart diseaseSignificant valvular heart diseaseSevere valvular heart diseaseHeart diseaseHigher in-hospital mortality ratesAssociated with higher in-hospital mortality ratesIn-hospital mortality rateTrials NetworkOutcomes of patientsTertiary cardiac intensive care unitUnadjusted in-hospital mortalityIntensive care unitMitral regurgitationValve interventionAortic stenosisCICU admissionCS admissionsOdds ratioCare unitConsecutive admissionsUnderrepresentation and exclusion of patients with cardiovascular disease in intensive care randomized controlled trials
Ali T, Grimshaw A, Thomas A, Solomon M, Ross J, Miller P. Underrepresentation and exclusion of patients with cardiovascular disease in intensive care randomized controlled trials. European Heart Journal Acute Cardiovascular Care 2025, 14: 259-267. PMID: 39950988, PMCID: PMC12082296, DOI: 10.1093/ehjacc/zuaf023.Peer-Reviewed Original ResearchContemporary cardiac intensive care unitsRandomized controlled trialsIschemic heart diseaseCardiovascular diseaseHeart failureDisciplines of critical care medicineHistory of heart failureProspective randomized controlled trialsHeart diseaseControlled trialsExclusion criteriaMultivariate logistic regression analysisCardiac intensive care unitProportion of patientsExclusion of patientsComorbid cardiovascular diseaseCardiovascular disease historyIntensive care unitLogistic regression analysisApplication of randomized controlled trialsComplex patient populationGeneral internal medicineCardiovascular disease comorbiditiesMulticenter trialIndependent predictorsPrenatal Diagnosis of Congenital Heart Disease in Liveborn Infants in the New England Region
Haxel C, Wang A, Levine J, Drucker N, Hart M, Glatz J, Ferdman D, Karnik R, Tsirka A, Arya P, Doherty M, Laraja K, Hagenbuch S, Rotondo K. Prenatal Diagnosis of Congenital Heart Disease in Liveborn Infants in the New England Region. Pediatric Cardiology 2025, 1-5. PMID: 39849107, DOI: 10.1007/s00246-025-03778-9.Peer-Reviewed Original ResearchCongenital heart diseasePediatric cardiology centersPrenatal diagnosis of congenital heart diseaseDiagnosis of congenital heart diseasePrenatal diagnosisCardiology centersHeart diseaseDetection of congenital heart diseaseDiagnostic rateRates of prenatal detectionPediatric cardiology carePrenatal diagnostic ratePrenatal detection ratePrenatal diagnosis rateEarly cardiac catheterizationDetection ratePrenatal diagnosis dataMonths of lifeFetal echocardiogramFetal evaluationIncrease appropriate referralsLiveborn infantsPrenatal detectionCardiac catheterizationFetal detectionTakotsubo Syndrome in a 47-Year-Old Woman With Repaired Tetralogy of Fallot
Kayani J, Bailey L, Hopkins K, Zaidi A, Love B. Takotsubo Syndrome in a 47-Year-Old Woman With Repaired Tetralogy of Fallot. JACC Case Reports 2025, 30: 102804. PMID: 39886417, PMCID: PMC11775812, DOI: 10.1016/j.jaccas.2024.102804.Peer-Reviewed Original ResearchCase of takotsubo syndromeCongenital heart diseaseTakotsubo syndromePremenopausal womenAdult congenital heart diseaseCongenital heart disease populationComplex congenital heart diseaseEvidence of coronary artery diseaseHeart diseaseHeart disease populationExtremely rare caseAcquired cardiac diseaseRegional systolic dysfunctionCoronary artery diseaseAcute plaque ruptureRepaired tetralogySystolic dysfunctionNonischemic cardiomyopathyBroken-heart syndromeRare formAcute onsetMyocardial contractilityArtery diseaseCardiac diseaseChest tightness
2024
Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact
Mondragon-Estrada E, Newburger J, DePalma S, Brueckner M, Cleveland J, Chung W, Gelb B, Goldmuntz E, Hagler D, Huang H, McQuillen P, Miller T, Panigrahy A, Porter G, Roberts A, Rollins C, Russell M, Tristani-Firouzi M, Grant P, Im K, Morton S. Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact. IScience 2024, 28: 111707. PMID: 39877905, PMCID: PMC11772982, DOI: 10.1016/j.isci.2024.111707.Peer-Reviewed Original ResearchNoncoding variantsCongenital heart diseaseFunctions related to neuronal developmentGene regulatory signalsH3K9me2 modificationRegulatory signalsCongenital heart disease cohortsDevelopmental pathwaysNeuronal developmentFolding patternHeart diseaseFunctional impactGenetic factorsGenesVariantsBrain developmentPredictive impactSulcal patterns
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