2023
The impact of a statewide payment reform on transcatheter aortic valve replacement (TAVR) utilization and readmissions
Yesantharao P, Etchill E, Zhou A, Ong C, Metkus T, Canner J, Alejo D, Aliu O, Czarny M, Hasan R, Resar J, Schena S. The impact of a statewide payment reform on transcatheter aortic valve replacement (TAVR) utilization and readmissions. Catheterization And Cardiovascular Interventions 2023, 101: 1193-1202. PMID: 37102376, DOI: 10.1002/ccd.30670.Peer-Reviewed Original Research
2022
Deep Learning to Predict Mortality After Cardiothoracic Surgery Using Preoperative Chest Radiographs
Raghu VK, Moonsamy P, Sundt TM, Ong CS, Singh S, Cheng A, Hou M, Denning L, Gleason TG, Aguirre AD, Lu MT. Deep Learning to Predict Mortality After Cardiothoracic Surgery Using Preoperative Chest Radiographs. The Annals Of Thoracic Surgery 2022, 115: 257-264. PMID: 35609650, PMCID: PMC11373441, DOI: 10.1016/j.athoracsur.2022.04.056.Peer-Reviewed Original ResearchMeSH KeywordsCardiac Surgical ProceduresCoronary Artery BypassDeep LearningFemaleHumansRisk AssessmentRisk FactorsConceptsMassachusetts General HospitalPreoperative chest radiographSTS-PROMIndex procedureC-statisticChest radiographsTesting cohortPostoperative mortalityCardiac surgeryMortality riskPostoperative mortality riskSTS-PROM scoreRisk of mortalityGood calibrationMGH patientsWomen's HospitalGeneral HospitalCardiothoracic surgeryThoracic surgeonsSurgeryMortalityPatientsHospitalCohortPreoperative CXR
2021
Leveraging Machine Learning to Predict 30-Day Hospital Readmission After Cardiac Surgery
Sherman E, Alejo D, Wood-Doughty Z, Sussman M, Schena S, Ong CS, Etchill E, DiNatale J, Ahmidi N, Shpitser I, Whitman G. Leveraging Machine Learning to Predict 30-Day Hospital Readmission After Cardiac Surgery. The Annals Of Thoracic Surgery 2021, 114: 2173-2179. PMID: 34890575, DOI: 10.1016/j.athoracsur.2021.11.011.Peer-Reviewed Original ResearchConceptsElectronic medical record dataDays of dischargeMedical record dataHospital readmissionThoracic Surgeons Adult Cardiac Surgery DatabaseArt performanceAdult Cardiac Surgery DatabaseRecord dataCardiac Surgery DatabaseLength of stayRandom forest modelFlexible machineTest setMachinePreoperative comorbiditiesPostoperative complicationsAnalysis cohortCardiac surgeryPreoperative variablesSurgery DatabaseIntraoperative riskInpatient careReadmissionRisk scoreRehabilitation facilityLate onset atrial fibrillation in patients undergoing surgical aortic valve replacement
Ong CS, Reinertsen E, Moonsamy P, Young K, Song S, Axtell AL, Wolfe SB, Mohan N, Jassar AS, Aguirre AD, Sundt TM. Late onset atrial fibrillation in patients undergoing surgical aortic valve replacement. Journal Of Cardiac Surgery 2021, 37: 285-289. PMID: 34699088, DOI: 10.1111/jocs.16093.Peer-Reviewed Original ResearchConceptsSurgical aortic valve replacementLate atrial fibrillationOnset atrial fibrillationAortic valve replacementAtrial fibrillationValve replacementHigher preoperative creatinine levelLate-onset atrial fibrillationNew-onset atrial fibrillationSingle-institution cohort analysisPreoperative atrial fibrillationPreoperative creatinine levelAortic valve diseaseRisk of mortalityAF interventionsAF prophylaxisPerioperative episodesEmergent surgeryLate mortalityCardiac surgeryCreatinine levelsMedical therapyUnderwent proceduresValve diseaseProphylactic interventionsPrediction of operative mortality for patients undergoing cardiac surgical procedures without established risk scores
Ong CS, Reinertsen E, Sun H, Moonsamy P, Mohan N, Funamoto M, Kaneko T, Shekar PS, Schena S, Lawton JS, D'Alessandro DA, Westover MB, Aguirre AD, Sundt TM. Prediction of operative mortality for patients undergoing cardiac surgical procedures without established risk scores. Journal Of Thoracic And Cardiovascular Surgery 2021, 165: 1449-1459.e15. PMID: 34607725, PMCID: PMC8918430, DOI: 10.1016/j.jtcvs.2021.09.010.Peer-Reviewed Original ResearchFactors Related to Survival in Low–Glomerular Filtration Rate Cohorts Undergoing Lung Transplant
Funamoto M, Osho AA, Li SS, Moonsamy P, Mohan N, Ong CS, Melnitchouk S, Sundt TM, Astor TL, Villavicencio MA. Factors Related to Survival in Low–Glomerular Filtration Rate Cohorts Undergoing Lung Transplant. The Annals Of Thoracic Surgery 2021, 112: 1797-1804. PMID: 33421391, DOI: 10.1016/j.athoracsur.2020.12.021.Peer-Reviewed Original ResearchConceptsGlomerular filtration rateLung transplantationImproved survivalPreoperative glomerular filtration rateML/minNormal glomerular filtration rateLung transplant listingOrgan Sharing databaseLogistic regression analysisLung recipientsTransplant listingLung transplantAdult patientsPropensity matchingSharing databaseOutpatient statusUnited NetworkKaplan-MeierFiltration rateSuperior survivalPropensity score methodsPatientsTransplantationMultivariate analysisOutpatient recipients
2020
Association of Heparin Dose, Route, Timing, and Duration With Heparin-Induced Thrombocytopenia
Crow JR, Nam L, Chasler JE, Ong CS, Dane KE, Kickler T, Lawton J, Streiff MB, Alejo D, Canner JK, Schena S. Association of Heparin Dose, Route, Timing, and Duration With Heparin-Induced Thrombocytopenia. The Annals Of Thoracic Surgery 2020, 112: 32-37. PMID: 33217393, DOI: 10.1016/j.athoracsur.2020.09.033.Peer-Reviewed Original ResearchConceptsCardiac surgery patientsAdult cardiac surgery patientsSurgery patientsUFH doseHeparin doseRetrospective case-control studyMultivariable conditional logistic regressionCardiopulmonary bypass durationHIT-positive patientsPrevalence of heparinUnfractionated heparin doseHeparin-Induced ThrombocytopeniaReceiver-operating characteristic curveCase-control studyConditional logistic regressionBypass durationIntravenous UFHUFH administrationUFH infusionSubcutaneous routeContinuous infusionMean agePatientsTotal doseLogistic regressionThe Strongest Risk Factor for Operative Mortality in Acute Type A Aortic Dissection is Acidosis: Validation of Risk Model
Ong CS, Nam L, Yesantharao P, Dong J, Canner JK, Teuben RJ, Zhou X, Young A, Suarez-Pierre A, Pasque MK, Lawton JS. The Strongest Risk Factor for Operative Mortality in Acute Type A Aortic Dissection is Acidosis: Validation of Risk Model. Seminars In Thoracic And Cardiovascular Surgery 2020, 32: 674-680. PMID: 32105786, DOI: 10.1053/j.semtcvs.2020.02.023.Peer-Reviewed Original ResearchMeSH KeywordsAcid-Base EquilibriumAcidosisAcute DiseaseAdolescentAdultAgedAged, 80 and overAlgorithmsAortic AneurysmAortic DissectionDecision Support TechniquesFemaleHemodynamicsHospital MortalityHumansMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexTreatment OutcomeVascular Surgical ProceduresYoung AdultConceptsHigh operative mortalityOperative mortalityMultivariable logistic regressionSevere acidosisATAAD repairOrgan malperfusionAortic dissectionBase deficitRisk factorsAcute Type A Aortic DissectionType A Aortic DissectionLogistic regressionA Aortic DissectionPresence of diabetesRetrospective chart reviewMultiple risk factorsAbdominal malperfusionNadir pHAcute typeChart reviewTreatment algorithmAdvanced ageMalperfusionPatientsAcidosis
2017
Neuromuscular Disease Cardiac Manifestations and Sudden Death Risk
Limipitikul W, Ong CS, Tomaselli GF. Neuromuscular Disease Cardiac Manifestations and Sudden Death Risk. Cardiac Electrophysiology Clinics 2017, 9: 731-747. PMID: 29173414, DOI: 10.1016/j.ccep.2017.07.013.Peer-Reviewed Original ResearchConceptsNeuromuscular diseaseSudden death riskPresence of bradycardiaConduction system diseaseCardiac conduction systemCardiovascular complicationsCardiac manifestationsPreemptive treatmentHeart blockSignificant morbidityVentricular arrhythmiasPermanent pacemakerDeath riskSystem diseasesCardiac arrhythmiasConduction systemDiseasePatientsArrhythmiasRiskBradycardiaMorbidityComplicationsTachyarrhythmiasMortalityHeart Failure Is Common and Under-Recognized in Patients With Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia
Gilotra NA, Bhonsale A, James CA, Te Riele ASJ, Murray B, Tichnell C, Sawant A, Ong CS, Judge DP, Russell SD, Calkins H, Tedford RJ. Heart Failure Is Common and Under-Recognized in Patients With Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia. Circulation Heart Failure 2017, 10: e003819. PMID: 28874384, DOI: 10.1161/circheartfailure.116.003819.Peer-Reviewed Original ResearchConceptsPrecordial T-wave inversionTask Force criteriaT-wave inversionHF signsExertional dyspneaLV dysfunctionVolume overloadClinical HFVentricular cardiomyopathy/dysplasiaPredictors of HFSymptomatic LV dysfunctionHeart failure prevalenceForce criteriaARVC/DARVC/D.ARVC/D diagnosisHeart transplantationHF symptomsRV involvementHeart failureStudy cohortFemale sexHF onsetHigher oddsStudy follow
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