2024
Polygenic Risk of Epilepsy and Poststroke Epilepsy
Clocchiatti-Tuozzo S, Rivier C, Misra S, Zelano J, Mazumder R, Sansing L, de Havenon A, Hirsch L, Liebeskind D, Gilmore E, Sheth K, Kim J, Worrall B, Falcone G, Mishra N. Polygenic Risk of Epilepsy and Poststroke Epilepsy. Stroke 2024, 55: 2835-2843. PMID: 39502073, DOI: 10.1161/strokeaha.124.047459.Peer-Reviewed Original ResearchParticipants of European ancestryRisk of poststroke epilepsyPolygenic riskPoststroke epilepsyEuropean ancestryGenome-wide association study meta-analysisPRS decileCase-control genetic association studyGenetic risk lociLowest decilePolygenic risk scoresGenetic association studiesMultivariate logistic regression modelStudy meta-analysisMultivariate logistic regression resultsHistory of strokeLogistic regression modelsRisk lociAssociation studiesStroke survivorsUK BiobankGenetic informationGenetic ancestryLogistic regression resultsGenetic variantsDeep 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 strokeTemperature Control Parameters Are Important: Earlier Preinduction Is Associated With Improved Outcomes Following Out-of-Hospital Cardiac Arrest
Beekman R, Kim N, Nguyen C, McGinniss G, Deng Y, Kitlen E, Garcia G, Wira C, Khosla A, Johnson J, Miller P, Perman S, Sheth K, Greer D, Gilmore E. Temperature Control Parameters Are Important: Earlier Preinduction Is Associated With Improved Outcomes Following Out-of-Hospital Cardiac Arrest. Annals Of Emergency Medicine 2024, 84: 549-559. PMID: 39033449, DOI: 10.1016/j.annemergmed.2024.06.007.Peer-Reviewed Original ResearchOut-of-hospital cardiac arrestNeurological outcomeDevice cohortCardiac arrestOut-of-hospital cardiac arrest patientsConsecutive out-of-hospital cardiac arrestPreinduction timeInterquartile rangeAssociated with improved outcomesCardiac arrest patientsProportion of patientsMultivariate logistic regression modelInverse probability of treatmentDevice timeInverse probability treatment weightsProbability of treatmentProspective trialsOHCA patientsArrest patientsClinical outcomesLogistic regression modelsCenter studyEarly initiationSecondary outcomesTreatment weightingImpact of Procedure Time on First Pass Effect in Mechanical Thrombectomy for Anterior Circulation Acute Ischemic Stroke
Koo A, Reeves B, Renedo D, Maier I, Al Kasab S, Jabbour P, Kim J, Wolfe S, Rai A, Starke R, Psychogios M, Shaban A, Arthur A, Yoshimura S, Cuellar H, Grossberg J, Alawieh A, Romano D, Tanweer O, Mascitelli J, Fragata I, Polifka A, Osbun J, Crosa R, Park M, Levitt M, Brinjikji W, Moss M, Dumont T, Williamson R, Navia P, Kan P, Spiotta A, Sheth K, de Havenon A, Matouk C. Impact of Procedure Time on First Pass Effect in Mechanical Thrombectomy for Anterior Circulation Acute Ischemic Stroke. Neurosurgery 2024, 95: 128-136. PMID: 38483158, DOI: 10.1227/neu.0000000000002900.Peer-Reviewed Original ResearchAnterior circulation large vessel occlusion acute ischemic strokeAcute ischemic strokeLarge vessel occlusion acute ischemic strokeProcedure timeMechanical thrombectomyExcellent reperfusionClinical benefitIschemic strokeAnterior circulation acute ischemic strokeSuccess of mechanical thrombectomyModified Rankin Scale scoreRankin Scale scoreLogistic regression modelsNo significant differencePrimary study exposuresPrimary outcomeFunctional outcomesPotential confoundersStudy exposureThrombectomy devicesScale scoreThrombectomyReperfusionPatientsSignificant differenceTime to Anticoagulation Reversal and Outcomes After Intracerebral Hemorrhage
Sheth K, Solomon N, Alhanti B, Messe S, Xian Y, Bhatt D, Hemphill J, Frontera J, Chang R, Danelich I, Huang J, Schwamm L, Smith E, Goldstein J, Mac Grory B, Fonarow G, Saver J. Time to Anticoagulation Reversal and Outcomes After Intracerebral Hemorrhage. JAMA Neurology 2024, 81: 363-372. PMID: 38335064, PMCID: PMC11002694, DOI: 10.1001/jamaneurol.2024.0221.Peer-Reviewed Original ResearchDoor-to-treatment timeDoor-to-treatmentUS hospitalsQuality improvement registryOnset-to-treatment timeAmerican Heart AssociationFunctional outcomesLogistic regression modelsAssociated with decreased mortalityGuidelines-StrokeIntracerebral hemorrhageHospital characteristicsImprovement registryIntervention statusMain OutcomesAnticoagulation-associated intracerebral hemorrhageSystolic blood pressureInpatient mortalityRandom interceptCohort studyWhite raceSecondary outcomesStroke subtypesStroke severityWorkflow times
2023
Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke
Forman R, Okumu R, Mageid R, Baker A, Neu D, Parker R, Peyravi R, Schindler J, Sansing L, Sheth K, de Havenon A, Jasne A, Narula R, Wira C, Warren J, Sharma R. Association of Neighborhood-Level Socioeconomic Factors With Delay to Hospital Arrival in Patients With Acute Stroke. Neurology 2023, 102: e207764. PMID: 38165368, PMCID: PMC10834135, DOI: 10.1212/wnl.0000000000207764.Peer-Reviewed Original ResearchConceptsEmergency department arrival timesEmergency medical servicesLate presentationAcute ischemic stroke therapyYale-New Haven HospitalGuidelines-Stroke registryNeighborhood-level socioeconomic factorsPatient-level factorsRetrospective observational studyIschemic stroke therapyMixed-effects logistic regression modelNon-white patientsNon-white raceUnivariate logistic regressionNew Haven HospitalLogistic regression modelsHospital presentationTreatment ineligibilityStroke RegistryAcute strokeHospital arrivalStroke therapyUnivariate analysisObservational studyPatientsBaseline Cardiovascular Risk Factor Control in Patients With Type 2 Diabetes and Coronary Disease Versus Stroke: Secondary Analysis of Cardiovascular Outcome Trials
Balasubramanian P, Kernan W, Sheth K, Ofstad A, Rosenstock J, Wanner C, Zinman B, Mattheus M, Marx N, Inzucchi S. Baseline Cardiovascular Risk Factor Control in Patients With Type 2 Diabetes and Coronary Disease Versus Stroke: Secondary Analysis of Cardiovascular Outcome Trials. Stroke 2023, 54: 2013-2021. PMID: 37449424, PMCID: PMC10358436, DOI: 10.1161/strokeaha.122.042053.Peer-Reviewed Original ResearchConceptsCardiovascular risk factor controlRisk factor controlCoronary artery diseaseEMPA-REG OUTCOMECardiovascular outcome trialsType 2 diabetesRisk factorsOutcome trialsBlood pressureOdds ratioAntiplatelet/anticoagulant medicationsAntiplatelet/anticoagulant therapyDiabetes cardiovascular outcome trialsSuboptimal risk factor controlCardiovascular risk factorsRecurrent ischemic eventsDiastolic blood pressureSystolic blood pressureRespective odds ratiosFactor controlCross-sectional analysisLogistic regression modelsMacrovascular complicationsStatin useAnticoagulant medicationImprovement in the Prediction of Cerebrovascular Events With White Matter Hyperintensity
de Havenon A, Smith E, Sharma R, Falcone G, Bangad A, Prabhakaran S, Sheth K. Improvement in the Prediction of Cerebrovascular Events With White Matter Hyperintensity. Journal Of The American Heart Association 2023, 12: e029374. PMID: 37345754, PMCID: PMC10356061, DOI: 10.1161/jaha.123.029374.Peer-Reviewed Original ResearchConceptsWhite matter hyperintensitiesIncident strokePrimary outcomeHypertensive individualsMatter hyperintensitiesAtherosclerotic cardiovascular disease risk scoreCognitive impairmentCardiovascular disease risk scoreVascular risk factorsCurrent cigarette smokingDisease risk scoreMagnetic resonance imagingLogistic regression modelsRandomization armCerebrovascular eventsVascular riskCigarette smokingPrognostic informationRisk factorsPrognostic abilityRisk scoreCognitive declineResonance imagingDeLong testStrokeEffect of Alteplase on Ischemic Stroke Mortality Is Dependent on Stroke Severity
de Havenon A, Abbasi M, Yaghi S, Delic A, Bangad A, Johnston K, Tirschwell D, Sheth K. Effect of Alteplase on Ischemic Stroke Mortality Is Dependent on Stroke Severity. Annals Of Neurology 2023, 93: 1106-1116. PMID: 36852919, DOI: 10.1002/ana.26621.Peer-Reviewed Original ResearchConceptsIV-tPAHigher NIHSSIschemic strokeAtrial fibrillationNational Inpatient Sample (NIS) 2016Non-Hispanic white raceOlder ageBaseline National InstitutesDEFUSE-3 trialsHealth Stroke ScalePost-stroke mortalityIschemic stroke mortalityEffect of alteplaseRisk of mortalityLogistic regression modelsAnn NeurolFAST-MAGIMS IIISevere ISHospital mortalityIntravenous alteplaseSevere strokeStroke ScaleStroke severityFunctional outcome
2021
Cerebral Microbleeds and Acute Hematoma Characteristics in the ATACH-2 and MISTIE III Trials
Magid-Bernstein JR, Li Y, Cho SM, Piran PJ, Roh DJ, Gupta A, Shoamanesh A, Merkler A, Zhang C, Avadhani R, Montano N, Iadecola C, Falcone G, Sheth K, Qureshi AI, Rosand J, Goldstein J, Awad I, Hanley D, Kamel H, Ziai WC, Murthy SB. Cerebral Microbleeds and Acute Hematoma Characteristics in the ATACH-2 and MISTIE III Trials. Neurology 2021, 98: e1013-e1020. PMID: 34937780, PMCID: PMC8967392, DOI: 10.1212/wnl.0000000000013247.Peer-Reviewed Original ResearchConceptsSmaller ICH volumeCerebral microbleedsSmall vessel diseaseIntracerebral hemorrhageHematoma expansionHematoma characteristicsICH volumeVessel diseaseNumber of CMBsSmaller baseline hematoma volumesUnderlying small vessel diseasePresence of CMBsCerebral small vessel diseaseAdmission ICH volumeMISTIE III trialPresence of microbleedsClass II evidencePhase 3 trialSeverity of leukoaraiosisPrimary intracerebral hemorrhageBaseline hematoma volumeIndividual patient dataBrain MRI scansLogistic regression modelsAntihypertensive treatmentVariation in Use of Repurposed Medications Among Patients With Coronavirus Disease 2019. From The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study: Coronavirus Disease 2019 Registry Investigator Group
Garcia M, Johnson S, Bosch N, Sisson E, Sheldrick C, Kumar V, Boman K, Bolesta S, Bansal V, Deo N, Domecq J, Lal A, Christie A, Banner-Goodspeed V, Sanghavi D, Vadgaonkar G, Gajic O, Kashyap R, Walkey A, Mesland J, Henin P, Petre H, Buelens I, Gerard A, Clevenbergh P, Markotić D, Bošnjak I, Garza R, Chu E, Chan V, Gavidia O, Pachon F, Sanchez Y, Kassas M, Badr M, Tawheed A, Tawheed A, Yahia H, Coello J, Perez G, Lizardo A, Guillen G, Soto H, Segu S, Chakraborty T, Joyce E, Vadgaonkar G, Ediga R, Basety S, Dammareddy S, Kasumalla P, Raju U, Manduva J, Kolakani N, Sripathi S, Chaitanya S, Daga M, Agarwal M, Rohtagi I, Papani S, Kamuram M, Agrawal K, Baghel V, Patel K, Mohan S, Jyothisree E, Matsuda W, Suzuki R, Kyo M, Itagaki Y, Kodate A, Suzuki R, Kodate A, Takahashi Y, Moriki K, Hassan-Hanga F, Galadanci H, Gezawa A, Kabara H, Amole T, Kabir H, Haliru D, Ibrahim A, Asghar M, Syed M, Naqvi S, Zabolotskikh I, Zybin K, Sinkov S, Musaeva T, Almazyad M, Alarifi M, Macarambon J, Bukhari A, Albahrani H, Asfina K, Aldossary K, Zdravkovic M, Todorovic Z, Popadic V, Klasnja S, Kovacevic B, Bojicic J, Stevanovic P, Stojakov D, Ignjatovic D, Bojic S, Bobos M, Nenadic I, Zaric M, Djuric M, Djukic V, Teruel S, Martin B, Teruel S, Sili U, Bilgin H, Ay P, Raval A, Franks A, Kharbanda A, Jhajhria S, Fyffe Z, Capizzi S, Alicie B, Green M, Crockarell L, Drennan A, Dubuque K, Fambrough T, Gasaway N, Krantz B, Nebi P, Orga J, Serfass M, Simion A, Warren K, Wheeler C, Woolman C, Christie A, Ashley D, Adiga R, Moyer A, Verghese G, Newsome A, Forehand C, Bruning R, Jones T, Sabov M, Zaidi F, Tissavirasingham F, Malipeddi D, Armaignac D, Parris D, Zuniga M, Vargas I, Boronat V, Hutton A, Kaur N, Neupane P, Sadule-Rios N, Rojas L, Neupane A, Rivera P, Carlos C, Vincent G, Banner-Goodspeed V, Bose S, Kelly L, Joseph M, McGourty M, Capers K, Hoenig B, Karamourtopoulos M, Law A, Kassis E, Walkey A, Waikar S, Garcia M, Colona M, Kibbelaar Z, Leong M, Wallman D, Soni K, Maccarone J, Gilman J, Devis Y, Chung J, Paracha M, Lumelsky D, DiLorenzo M, Abdurrahman N, Johnson S, Zammit K, Patrick J, Loeffler W, Maya R, Tirupathi R, Tang A, Safi A, Green C, Newell J, Gist K, Sayed I, Brinton J, Strom L, Daugherty S, Atkinson S, Shrimpton K, Yamane D, Benjenk I, Prasanna N, Smalls N, Smith M, Snow W, Liptak R, Durant H, Pendleton V, Nanavati A, Mrozowsk R, Liu Y, Zavala S, Zavala S, Shim E, Reilkoff R, Heneghan J, Eichen S, Goertzen L, Rajala S, Feussom G, Tang B, Junia C, Lichtenberg R, Sidhu H, Espinoza D, Rodrigues S, Zabala M, Goyes D, Susheela A, Hatharaliyadda B, Rameshkumar N, Kasireddy A, Maldonado G, Beltran L, Chaugule A, Khan H, Cartin-Ceba R, Sen A, Palacios A, Mahdi G, Kashyap R, Gajic O, Bansal V, Tekin A, Lal A, O’Horo J, Deo N, Sharma M, Qamar S, Domecq J, Singh R, Niven A, La Nou A, Bogojevic M, Mullen B, Sanghavi D, Franco P, Guru P, Gnanapandithan K, Saunders H, Fleissner Z, Garcia J, Yu A, Mateus L, Yarrarapu S, Kaur N, Giri A, Khan S, Domecq J, Jain N, Koritala T, Timmer J, Welker K, Venkata C, Engemann M, Mantese A, Eschler A, Hejna M, Lewandowski E, Kusmierski K, Martin C, Aulakh B, Tripathi S, Bandy J, Kreps L, Bollinger D, Stienecker R, Melendez A, Brunner T, Budzon S, Heffernan J, Souder J, Miller T, Maisonneuve A, Delmonaco B, Franklin A, Heath M, Vilella A, Kutner S, Clark K, Moore D, Anderson I, Rajkumar D, Abunayla A, Heiter J, Zaren H, Smith S, Lewis G, Seames L, Farlow C, Miller J, Broadstreet G, Martinez A, Allison M, Mittal A, Ruiz R, Skaanland A, Ross R, Mohabir P, O’Brien C, Dasani K, Gupta N, Jones T, Ayers S, Harrell A, Brown B, Edwards M, Darby C, Page K, Brown A, McAbee J, Belden K, Baram M, Weber D, DePaola R, Xia Y, Carter H, Tolley A, Barletta M, Ferranti M, Sines B, Bice T, McGonagill P, Galet C, Hubbard J, Wang D, Allan L, Badheka A, Chegondi M, Nazir U, Rampon G, Riggle J, Dismang N, Alvarez R, Alarcon-Calderon A, Sosa M, Mahabir S, Patel M, Dandachi D, Regunath H, Camazine M, Geiger G, Njai A, Saad B, Stapleton R, Dixon A, Johnson O, Ardren S, Burns S, Raymond A, Gonyaw E, Hodgdon K, Housenger C, Lin B, McQuesten K, Pecott-Grimm H, Sweet J, Ventrone S, Khanna A, Harris L, Cusson B, Fowler J, Vaneenenaam D, McKinney G, Udoh I, Johnson K, Pattan V, Papke J, Jimada I, Mhid N, Chakola S, Sheth K, Ammar A, Ammar M, Lopez V, Dela Cruz C, Khosla A, Gautam S. Variation in Use of Repurposed Medications Among Patients With Coronavirus Disease 2019. From The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study: Coronavirus Disease 2019 Registry Investigator Group. Critical Care Explorations 2021, 3: e0566. PMID: 34746796, PMCID: PMC8565794, DOI: 10.1097/cce.0000000000000566.Peer-Reviewed Original ResearchTherapeutic dose anticoagulantsCoronavirus disease 2019Disease 2019Hospital variationClinical trialsViral infectionClinical trial evidenceObservational cohort studyUse of hydroxychloroquineRandomized clinical trialsRisk-adjusted mortalityUse of antiviralsCoronavirus disease 2019 (COVID-19) pandemicRisk-adjusted variationRandom effects logistic regression modelDisease 2019 pandemicEffects logistic regression modelsLogistic regression modelsCohort studyMedication useTrial evidenceEvidence-based practiceInternational HospitalMAIN OUTCOMEMedicationsAuthor Response: Cause of Death in Spontaneous Intracerebral Hemorrhage Survivors: Multistate Longitudinal Study
Kuohn L, Sheth K. Author Response: Cause of Death in Spontaneous Intracerebral Hemorrhage Survivors: Multistate Longitudinal Study. Neurology 2021, 97: 149-149. DOI: 10.1212/wnl.0000000000012283.Peer-Reviewed Original ResearchIntracerebral hemorrhage survivorsSpontaneous intracerebral hemorrhage survivorsAdjusted multinomial logistic regression modelIndependent risk factorInfection-related mortalityBurden of disabilityInfection-related deathsInfection-related morbidityUrinary tract infectionOdds of deathLong-term outcomesCause of deathLogistic regression modelsDeath overallICH survivorsAspiration pneumoniaMultinomial logistic regression modelsTract infectionsChronic hospitalizationRisk factorsDiabetesPotential associationClostridium difficileInfectionOlder age
2019
Efficacy and safety of minimally invasive surgery with thrombolysis in intracerebral haemorrhage evacuation (MISTIE III): a randomised, controlled, open-label, blinded endpoint phase 3 trial
Hanley D, Thompson R, Rosenblum M, Yenokyan G, Lane K, McBee N, Mayo S, Bistran-Hall A, Gandhi D, Mould W, Ullman N, Ali H, Carhuapoma J, Kase C, Lees K, Dawson J, Wilson A, Betz J, Sugar E, Hao Y, Avadhani R, Caron J, Harrigan M, Carlson A, Bulters D, LeDoux D, Huang J, Cobb C, Gupta G, Kitagawa R, Chicoine M, Patel H, Dodd R, Camarata P, Wolfe S, Stadnik A, Money P, Mitchell P, Sarabia R, Harnof S, Barzo P, Unterberg A, Teitelbaum J, Wang W, Anderson C, Mendelow A, Gregson B, Janis S, Vespa P, Ziai W, Zuccarello M, Awad I, Investigators M, Abdul-Rahim A, Abou-Hamden A, Abraham M, Ahmed A, Alba C, Aldrich E, Altschul D, Amin-Hanjani S, Anderson D, Ansari S, Antezana D, Ardelt A, Arikan F, Baguena M, Baker A, Barrer S, Becker K, Bergman T, Boström A, Braun J, Brindley P, Broaddus W, Brown R, Buki A, Cao B, Cao Y, Carrion-Penagos J, Chalela J, Chang T, Chorro I, Chowdhry S, Corral L, Csiba L, Davies J, Díaz A, Derdeyn C, Diringer M, Dlugash R, Ecker R, Economas T, Enriquez P, Ezer E, Fan Y, Feng H, Franz D, Freeman W, Fusco M, Galicich W, Gelea M, Goldstein J, Gonzalez A, Grabarits C, Greenberg S, Gress D, Gu E, Hall C, Hernandez F, Hoesch R, Hoh B, Houser J, Hu R, Huang Y, Hussain M, Insinga S, Jadhav A, Jaffe J, Jahromi B, Jallo J, James M, James R, Jankowitz B, Jeon E, Jichici D, Jonczak K, Jonker B, Karlen N, Keric N, Kerz T, Knopman J, Koenig C, Krishnamurthy S, Kumar A, Kureshi I, Laidlaw J, Lakhanpal A, Latorre J, Leifer D, Leiphart J, Lenington S, Li Y, Lopez G, Lovick D, Lumenta C, Luo J, Maas M, MacDonald J, MacKenzie L, Madan V, Majkowski R, Major O, Malhorta R, Malkoff M, Mangat H, Maswadeh A, Matouk C, McArthur K, McCaul S, Medow J, Mezey G, Mighty J, Miller D, Mohan K, Muir K, Muñoz L, Nakaji P, Nee A, Nekoovaght-Tak S, Nyquist P, O'Kane R, Okasha M, O'Kelly C, Ostapkovich N, Pandey A, Parry-Jones A, Perla K, Pollack A, Polster S, Pouratian N, Quinn T, Rajajee V, Reddy K, Rehman M, Reimer R, Rincon F, Rybinnik I, Sanchez B, Sansing L, Schneck M, Schuerer L, Schul D, Schweitzer J, Seder D, Seyfried D, Sheth K, Spiotta A, Stechison M, Szabo K, Tamayo G, Tanczos K, Taussky P, Terry J, Testai F, Thomas K, Thompson C, Thompson G, Torner J, Tran H, Tucker K, Ungar L, Varelas P, Vargas N, Vatter H, Venkatasubramanian C, Vermillion K, Vollmer D, Wang Y, Wang Y, Wen J, Whitworth L, Willis B, Wrencher M, Wright S, Xu Y, Yanase L, Yi X, Yu Z, Zomorodi A. Efficacy and safety of minimally invasive surgery with thrombolysis in intracerebral haemorrhage evacuation (MISTIE III): a randomised, controlled, open-label, blinded endpoint phase 3 trial. The Lancet 2019, 393: 1021-1032. PMID: 30739747, PMCID: PMC6894906, DOI: 10.1016/s0140-6736(19)30195-3.Peer-Reviewed Original ResearchConceptsStandard medical care groupMedical care groupStandard medical carePhase 3 trialProportion of patientsSerious adverse eventsSupratentorial intracerebral hemorrhageCare groupIntracerebral hemorrhageMedical careAdverse eventsMRS scoreFunctional outcomeComputer-generated number sequenceModified Rankin Scale scoreInvasive catheter evacuationPrespecified baseline covariatesPrimary efficacy outcomeLarge intracerebral hemorrhageGood functional outcomeRankin Scale scoreNumber of patientsIntracerebral hemorrhage evacuationLogistic regression modelsBlinded endpoint