2022
A machine learning approach for predicting complications in descending and thoracoabdominal aortic aneurysms
Ostberg NP, Zafar MA, Mukherjee SK, Ziganshin BA, Elefteriades JA. A machine learning approach for predicting complications in descending and thoracoabdominal aortic aneurysms. Journal Of Thoracic And Cardiovascular Surgery 2022, 166: 1011-1020.e3. PMID: 35120761, DOI: 10.1016/j.jtcvs.2021.12.045.Peer-Reviewed Original ResearchConceptsType B dissectionThoracoabdominal aortic aneurysmsB dissectionCause mortalityAortic aneurysmReceiver operator curveAortic diameterOperator curveInitial patient encounterOccurrence of dissectionSurgical intervention criteriaMean followPatient sexMyocardial infarctionPatient encountersRetrospective dataEnd pointPatientsAneurysmsDissectionMortalityRisk predictionComplicationsIntervention criteriaRupture
2015
Comparison of Quality of Life Perceived by Patients with Bioprosthetic versus Mechanical Valves after Composite Aortic Root Replacement
Repack A, Ziganshin BA, Elefteriades JA, Mukherjee SK. Comparison of Quality of Life Perceived by Patients with Bioprosthetic versus Mechanical Valves after Composite Aortic Root Replacement. Cardiology 2015, 133: 3-9. PMID: 26389590, DOI: 10.1159/000438783.Peer-Reviewed Original ResearchConceptsMechanical valve groupComposite aortic root replacementAortic root replacementMechanical valvesValve groupRoot replacementSupplemental questionsBioprosthetic valvesBioprosthetic valve groupMechanical composite graftNorm-based scoringSF-36v2 surveyComparison of qualityQoL burdenAnticoagulation therapyMean followQualifying patientsConsecutive patientsPostoperative QOLPostoperative qualityReplacement patientsBlood testingBlood thinnersQOL evaluationHealth Survey