Maryam Sani, MD, MPH
she/her/hers
Hospital ResidentCards
About
Research
Publications
2026
Predicting Sudden Cardiac Death in Patients With Sarcoidosis Using a Multimodal Artificial Intelligence Model
Lai C, Yin M, Kholmovski EG, Sani MM, Gilotra NA, Chrispin J, Trayanova NA. Predicting Sudden Cardiac Death in Patients With Sarcoidosis Using a Multimodal Artificial Intelligence Model. JACC: Clinical Electrophysiology 2026, 12 DOI: 10.1016/j.jacep.2025.10.009.Peer-Reviewed Original ResearchRisk of Cardiovascular Implantable Electronic Device Infection in Patients With Cardiac Sarcoidosis
Ibecheozor C, Mitchell J, Duvall C, Wagle A, Sani MM, Gilotra NA, Chrispin J. Risk of Cardiovascular Implantable Electronic Device Infection in Patients With Cardiac Sarcoidosis. Journal Of Cardiovascular Electrophysiology 2026, 37 DOI: 10.1111/jce.70301.Peer-Reviewed Original ResearchRisk of Cardiovascular Implantable Electronic Device Infection in Patients With Cardiac Sarcoidosis
Ibecheozor C, Mitchell J, Duvall C, Wagle A, Sani M, Gilotra N, Chrispin J. Risk of Cardiovascular Implantable Electronic Device Infection in Patients With Cardiac Sarcoidosis. Journal Of Cardiovascular Electrophysiology 2026, 37: 869-871. PMID: 41725233, DOI: 10.1111/jce.70301.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnti-Bacterial AgentsCardiomyopathiesDefibrillators, ImplantableElectric CountershockFemaleHumansImmunocompromised HostImmunosuppressive AgentsMaleMiddle AgedPacemaker, ArtificialProsthesis-Related InfectionsRetrospective StudiesRisk AssessmentRisk FactorsSarcoidosisTime FactorsTreatment OutcomeConceptsCardiovascular implantable electronic devicesCardiac sarcoidosisCardiovascular implantable electronic device implantImmunosuppressive therapyBloodstream infectionsImplantable cardioverter-defibrillatorPocket infectionRetrospective reviewNo significant differenceCIED pocket infectionRetrospective review of patientsAverage follow-up durationCardiovascular implantable electronic device infectionRisk of device-related infectionCIED proceduresSteroid-sparing agentsCIED-related infectionsInitiation of immunosuppressionReview of patientsFollow-up durationSignificant differenceCohort of patientsTertiary care centerTreated with antibioticsFollow-up period
2025
Predicting Sudden Cardiac Death in Patients With Sarcoidosis Using a Multimodal Artificial Intelligence Model
Lai C, Yin M, Kholmovski E, Sani M, Gilotra N, Chrispin J, Trayanova N. Predicting Sudden Cardiac Death in Patients With Sarcoidosis Using a Multimodal Artificial Intelligence Model. JACC Clinical Electrophysiology 2025, 12: 586-599. PMID: 41348081, DOI: 10.1016/j.jacep.2025.10.009.Peer-Reviewed Original ResearchLeft ventricular ejection fractionSudden cardiac deathNeural networkSudden cardiac death riskArea under the receiver-operating characteristic curveConvolutional neural networkMultimodal artificial intelligenceCardiac sarcoidosisClinical covariatesPrecision-recall curveArtificial intelligence modelsLGE-CMRImage regionsCardiac deathClinical decision support toolSuperior prediction accuracyMultimodal informationHigh risk of sudden cardiac deathLate gadolinium enhancement cardiac magnetic resonanceArtificial intelligenceGadolinium enhancement cardiac magnetic resonanceImplantable cardioverter-defibrillator therapyHigh riskRisk of sudden cardiac deathSudden cardiac death risk predictionIncreased lipoprotein(a) levels independently predict a higher incidence of ventricular arrhythmias: A comprehensive retrospective cohort study
Sani MM, Harb T, Leucker TM, Chrispin J. Increased lipoprotein(a) levels independently predict a higher incidence of ventricular arrhythmias: A comprehensive retrospective cohort study. Heart Rhythm O2 2025, 6 DOI: 10.1016/j.hroo.2025.07.001.Peer-Reviewed Original ResearchIncreased lipoprotein(a) levels independently predict a higher incidence of ventricular arrhythmias: A comprehensive retrospective cohort study
Sani M, Harb T, Leucker T, Chrispin J. Increased lipoprotein(a) levels independently predict a higher incidence of ventricular arrhythmias: A comprehensive retrospective cohort study. Heart Rhythm O2 2025, 6: 1646-1651. PMID: 41169980, PMCID: PMC12570169, DOI: 10.1016/j.hroo.2025.07.001.Peer-Reviewed Original ResearchIncidence of VAAtherosclerotic cardiovascular diseaseVentricular arrhythmiasLp(a) levelsLp(a)Higher incidencePropensity score matchingHigher incidence of ventricular arrhythmiasHigh-Lp(a) groupLow-Lp(a) groupRisk factorsIncidence of ventricular arrhythmiasVA-free survivalKaplan-Meier survival analysisMean follow-upScore matchingRetrospective cohort studyCox proportional hazards modelsLipoprotein(a) levelsTriNetX Research NetworkASCVD risk factorsPopulation-based cohortProportional hazards modelVA riskCardiac causesAortic valve calcium as a novel risk marker for kidney function deterioration: The MESA study
Abdollahi A, Sani M, Shabani M, Matuck B, Blaha M, Wu C, Ambale-Venkatesh B, Budoff M, Strom J, Rotter J, Post W, Blumenthal R, Bluemke D, Ghahramani N, Lima J, Whelton S. Aortic valve calcium as a novel risk marker for kidney function deterioration: The MESA study. European Journal Of Internal Medicine 2025, 136: 49-55. PMID: 40263084, DOI: 10.1016/j.ejim.2025.03.037.Peer-Reviewed Original ResearchConceptsMulti-Ethnic Study of AtherosclerosisRisk of incident chronic kidney diseaseIncident chronic kidney diseaseAortic valve calciumInternational Classification of DiseasesChronic kidney diseaseCardiac CT scansAdjusted Cox proportional hazards regression modelsMultivariable adjusted Cox proportional hazards regression modelsParticipants free of chronic kidney diseaseCardiovascular diseaseMulti-Ethnic Study of Atherosclerosis studyValve calciumCT scanCVD risk factorsHistory of cardiovascular diseaseCategorized as 0Higher risk of incident CKDFree of chronic kidney diseaseAssociated with increased risk of mortalityMulti-Ethnic StudyAtherosclerotic CVD risk factorsMulti-ethnic cohortAPOE-e4 genotypeClassification of diseases
2024
Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach
Tabrizi R, Ketabi M, Andishgar A, Vali M, Fereidouni Z, Sani M, Abdollahi A, Alkamel A. Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach. Clinical Cardiology 2024, 47: e24280. PMID: 38767029, PMCID: PMC11103634, DOI: 10.1002/clc.24280.Commentaries, Editorials and LettersSummary of a consensus conference on heart-liver transplantation
Kobashigawa J, VanWagner LB, Hall S, Emamaullee J, Entwistle JW, Ganger D, Gebel H, Jeevanandam V, Kaldas F, Kilic A, Kittleson M, Kushwaha S, Kwong A, Lui GK, Motayagheni N, Patel J, Patel N, Pereira N, Potter L, Sani M, Schiano TD, Shingina A, Kobashigawa J, VanWagner LB, Hall S, Ardehali A, Baran D, Bhimaraj A, Bonham CA, Breda JR, Chen S, Czer L, Alessandro DD, Daugherty T, De Marco T, Emamaullee J, Emerson D, Entwistle JW, Esmailian F, Estep J, Gaber O, Ganger D, Gebel H, Ebel NH, Harmath C, Heimbach J, Izzy M, Jackson A, Jeevanandam V, Kahn J, Kaldas F, Kamath P, Kilic A, Kittleson M, Kuo A, Kushwaha S, Kwong A, Lewis M, Loebe M, Lui G, Madsen J, McLean R, Menachem J, Mobley C, Mufti A, Patel J, Pereira N, Pinney S, Potter L, Sack J, Sahota A, Schiano TD, Schlendorf K, Shingina A, Takeda K, Taner T, Te H, Teuteberg J, Tompkins R, Verna B, Wall A. Summary of a consensus conference on heart-liver transplantation. American Journal Of Transplantation 2024, 24 DOI: 10.1016/j.ajt.2023.12.002.Peer-Reviewed Original ResearchPredicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach
Ketabi M, Andishgar A, Fereidouni Z, Sani M, Abdollahi A, Vali M, Alkamel A, Tabrizi R. Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach. Clinical Cardiology 2024, 47: e24239. PMID: 38402566, PMCID: PMC10894620, DOI: 10.1002/clc.24239.Peer-Reviewed Original ResearchConceptsFamily history of MIIncreased risk of HF readmissionHeart failureHistory of MIAll-Cause MortalityIndividual risk predictionReadmission of HF patientsRisk of mortalityArea under curveFollow-upRetrospective cohort studyRisk of HF readmissionLength of stayRisk stratification toolCohort studyFamily historyIncreased riskHeart failure patientsRisk predictionStratification toolReadmissionSystolic HFHF readmissionHF patientsHemoglobin levels
Get In Touch
Contacts
Email