2024
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan
Tran A, Zeevi T, Haider S, Abou Karam G, Berson E, Tharmaseelan H, Qureshi A, Sanelli P, Werring D, Malhotra A, Petersen N, de Havenon A, Falcone G, Sheth K, Payabvash S. Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. Npj Digital Medicine 2024, 7: 26. PMID: 38321131, PMCID: PMC10847454, DOI: 10.1038/s41746-024-01007-w.Peer-Reviewed Original ResearchDeep learning modelsHematoma expansionIntracerebral hemorrhageICH expansionComputed tomographyNon-contrast head CTNon-contrast head computed tomographyHigh risk of HEHead computed tomographyHigh-confidence predictionsRisk of HENon-contrast headReceiver operating characteristic areaModifiable risk factorsMonte Carlo dropoutOperating characteristics areaPotential treatment targetHead CTVisual markersIdentified patientsAutomated deep learning modelDataset of patientsRisk factorsHigh riskPatientsBlood Pressure Trajectories and Outcomes After Endovascular Thrombectomy for Acute Ischemic Stroke
Katsanos A, Joundi R, Palaiodimou L, Ahmed N, Kim J, Goyal N, Maier I, de Havenon A, Anadani M, Matusevicius M, Mistry E, Khatri P, Arthur A, Sarraj A, Yaghi S, Shoamanesh A, Catanese L, Psychogios M, Tsioufis K, Malhotra K, Spiotta A, Sandset E, Alexandrov A, Petersen N, Tsivgoulis G. Blood Pressure Trajectories and Outcomes After Endovascular Thrombectomy for Acute Ischemic Stroke. Hypertension 2024, 81: 629-635. PMID: 38164751, PMCID: PMC11289690, DOI: 10.1161/hypertensionaha.123.22164.Peer-Reviewed Original ResearchAcute ischemic strokeEndovascular thrombectomyIschemic strokeSBP trajectoriesOdds ratioSystolic blood pressure trajectoriesEarly neurological deteriorationSevere stroke syndromesVascular risk factorsBlood pressure valuesStudy of patientsBlood pressure trajectoriesTrajectory groupsMixed effects regression modelsStroke syndromeSuccessful recanalizationTotal patientsNeurological deteriorationAdjusted analysisIntracranial hemorrhagePotential confoundersRisk factorsCommon odds ratioHigh prevalenceSBP measurements
2023
Association of Blood Pressure Variability With Death and Discharge Destination Among Critically Ill Patients With and Without Stroke
Stulberg E, Harris B, Zheutlin A, Delic A, Sheibani N, Anadani M, Yaghi S, Petersen N, de Havenon A. Association of Blood Pressure Variability With Death and Discharge Destination Among Critically Ill Patients With and Without Stroke. Neurology 2023, 101: e1145-e1157. PMID: 37487742, PMCID: PMC10513881, DOI: 10.1212/wnl.0000000000207599.Peer-Reviewed Original ResearchConceptsAverage real variabilityNonstroke patientsDischarge destinationHospital deathIschemic strokeIll patientsIllness severityWorse outcomesAdult intensive care unit patientsMinimum mean arterial pressureIntensive care unit patientsIntensive Care III databaseBlood pressure goalsAcute ischemic strokeMean arterial pressureBlood pressure variabilityCare unit patientsRisk of deathMedical Information MartUnit patientsArterial pressureIntracerebral hemorrhageSubarachnoid hemorrhageRisk factorsEffect modification