Sex Modifies the Severity and Outcome of Spontaneous Intracerebral Hemorrhage
Rivier C, Renedo D, Marini S, Magid‐Bernstein J, de Havenon A, Rosand J, Hanley D, Ziai W, Mayer S, Woo D, Sansing L, Sheth K, Anderson C, Falcone G. Sex Modifies the Severity and Outcome of Spontaneous Intracerebral Hemorrhage. Annals Of Neurology 2024 PMID: 39499118, DOI: 10.1002/ana.27123.Peer-Reviewed Original ResearchRisk of hematoma expansionHighest risk of hematoma expansionRisk of poor outcomesIntracerebral hemorrhageHematoma expansionHigh riskMale sexPoor outcomeOutcome of spontaneous intracerebral hemorrhageClinical characteristics of patientsStudies of intracerebral hemorrhageNon-traumatic intracerebral hemorrhageIndividual patient data meta-analysisPatient data meta-analysisSpontaneous intracerebral hemorrhageSingle-center studyIntracerebral hemorrhage patientsHigh risk of expansionCharacteristics of patientsIntracerebral hemorrhage severityPoor functional outcomeRandomized clinical trialsData meta-analysisHemorrhage volumeClinical characteristicsDeep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier C, Mora S, Torres Lopez V, Payabvash S, Sheth K, Harloff A, Falcone G, Rosand J, Mayerhofer E, Anderson C. Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European Stroke Journal 2024, 23969873241260154. PMID: 38880882, DOI: 10.1177/23969873241260154.Peer-Reviewed Original ResearchIntracerebral hemorrhage scoreNon-contrast CT scanIntracerebral hemorrhageCT scanFUNC scoreIntracerebral hemorrhage patientsNon-contrast CTFunctional impairmentSevere disabilityDependent living statusLong-term functional impairmentC-indexPrognostic toolFunctional outcomesTreatment decisionsAcute settingClinical implementationRehabilitation strategiesDependent livingPatientsPredicting functional impairmentLong-term care needsPlanning of patient careDeep learning modelsHemorrhage