2024
Post-Thrombectomy Subarachnoid Hemorrhage: Incidence, Predictors, Clinical Relevance, and Effect Modulators
Chen H, Colasurdo M, Khunte M, Malhotra A, Gandhi D. Post-Thrombectomy Subarachnoid Hemorrhage: Incidence, Predictors, Clinical Relevance, and Effect Modulators. Diagnostics 2024, 14: 1856. PMID: 39272641, PMCID: PMC11394096, DOI: 10.3390/diagnostics14171856.Peer-Reviewed Original ResearchSubarachnoid hemorrhageIntraparenchymal hemorrhageAssociated with higher oddsEndovascular thrombectomyFemale sexAssociated with increased odds of in-hospital mortalityHospital outcomesHigher oddsNon-SAH groupSite of vascular occlusionOdds of in-hospital mortalityMultivariate logistic regression modelEndovascular thrombectomy patientsIn-hospital mortalityAssociated with increased oddsOdds of routine dischargeClinical detrimentRegression modelsLogistic regression modelsVascular occlusionSelf-careVessel occlusionPatientsSignificant predictorsHemorrhageDeep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke
Sommer J, Dierksen F, Zeevi T, Tran A, Avery E, Mak A, Malhotra A, Matouk C, Falcone G, Torres-Lopez V, Aneja S, Duncan J, Sansing L, Sheth K, Payabvash S. Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Frontiers In Artificial Intelligence 2024, 7: 1369702. PMID: 39149161, PMCID: PMC11324606, DOI: 10.3389/frai.2024.1369702.Peer-Reviewed Original ResearchEnd-to-endComputed tomography angiographyLarge vessel occlusionConvolutional neural networkDeep learning pipelineTrain separate modelsLogistic regression modelsResNet-50Deep learningAdmission computed tomography angiographyNeural networkLearning pipelineAdmission CT angiographyPreprocessing stepDiagnosis of large vessel occlusionsLarge vessel occlusion strokeReceiver operating characteristic areaEnsemble modelAutomated modelPre-existing morbidityCT angiographyReperfusion successNeurological examCross-validationOcclusion stroke
2023
Intravenous thrombolysis prior to endovascular thrombectomy in elderly stroke patients: An analysis of the National Inpatient Sample database
Chen H, Khunte M, Colasurdo M, Malhotra A, Gandhi D. Intravenous thrombolysis prior to endovascular thrombectomy in elderly stroke patients: An analysis of the National Inpatient Sample database. Journal Of The Neurological Sciences 2023, 454: 120842. PMID: 37856997, DOI: 10.1016/j.jns.2023.120842.Peer-Reviewed Original ResearchConceptsNational Inpatient Sample databaseHospital mortalityHemorrhagic complicationsIntravenous thrombolysisEndovascular thrombectomyEVT patientsIVT treatmentThrombectomy centreElderly patientsMultivariable logistic regression modelSample databaseStroke risk factorsElderly stroke patientsCross-sectional studyLarge-scale cross-sectional studyOutcomes of interestHigh rateLogistic regression modelsPatients 80Medical comorbiditiesOnly patientsPatient demographicsStroke etiologyThrombolytic treatmentHemorrhagic risk
2022
Associations of Osteoarthritis With Thrombectomy Utilization and Outcomes for Large Vessel Acute Ischemic Stroke
Chen H, Khunte M, Colasurdo M, Jindal G, Malhotra A, Gandhi D, Chaturvedi S. Associations of Osteoarthritis With Thrombectomy Utilization and Outcomes for Large Vessel Acute Ischemic Stroke. Stroke 2022, 54: 518-526. PMID: 36541211, DOI: 10.1161/strokeaha.122.041749.Peer-Reviewed Original ResearchConceptsMultivariable logistic regression modelEndovascular thrombectomyAssociation of osteoarthritisLogistic regression modelsHospital mortalityMedical comorbiditiesIschemic strokeRisk factorsLower oddsLarge vessel acute ischemic strokeNational Inpatient Sample databaseMultivariable logistic regression analysisLarge-vessel ischemic strokeIntravenous thrombolysis treatmentStroke risk factorsAcute ischemic strokeIschemic stroke patientsPresence of osteoarthritisCause of disabilityCross-sectional studyLogistic regression analysisPatient selection practicesLarge-scale cross-sectional studyDirect risk factorEVT treatment