2024
Deep 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 modelsHemorrhageSecondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts
Rivier C, Acosta J, Leasure A, Forman R, Sharma R, de Havenon A, Spatz E, Inzucchi S, Kernan W, Falcone G, Sheth K. Secondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts. Journal Of The American Heart Association 2024, 13: e033322. PMID: 38639369, PMCID: PMC11179946, DOI: 10.1161/jaha.123.033322.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBlood PressureCross-Sectional StudiesFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMyocardial InfarctionPlatelet Aggregation InhibitorsPractice Guidelines as TopicRisk AssessmentRisk FactorsSecondary PreventionStrokeUnited KingdomUnited StatesConceptsMyocardial infarctionPrevention scoreSecondary preventionImplementation of preventive therapyNational cohortUK BiobankAntiplatelet therapy useGuideline-directed therapyPrevention profilesBlood pressure controlAdherence to guideline-directed therapyLow-density lipoprotein controlNeighborhood deprivation levelHistory of strokeVascular risk profileStatin useAntiplatelet useTherapy usePreventive therapyComparison to participantsPrevention criteriaCross-sectional analysisBlood pressurePatientsPressure controlCOVID‐19 Infection Is Associated With Poor Outcomes in Patients With Intracerebral Hemorrhage
Renedo D, Leasure A, Young R, Rivier C, Alhanti B, Mac Grory B, Messe S, Reeves M, Hassan A, Schwamm L, de Havenon A, Matouk C, Sheth K, Falcone G. COVID‐19 Infection Is Associated With Poor Outcomes in Patients With Intracerebral Hemorrhage. Journal Of The American Heart Association 2024, 13: e030999. PMID: 38293940, PMCID: PMC11056169, DOI: 10.1161/jaha.123.030999.Peer-Reviewed Original ResearchConceptsOdds of poor outcomeIntracerebral hemorrhageCOVID-19 infectionPoor outcomeHealth care deliverySkilled nursing facilityMultivariate analysisOdds of mortalityConcomitant COVID-19 infectionAssociated with poor outcomesCare deliveryNursing facilitiesPoor functional outcomeCOVID-19OddsICH outcomeImpact of COVID-19No significant differenceObservational studyHemorrhagic strokeWorsen outcomesPatient populationFunctional outcomesStroke dataPatients
2023
The predictive validity of a Brain Care Score for dementia and stroke: data from the UK Biobank cohort
Singh S, Oreskovic T, Carr S, Papier K, Conroy M, Senff J, Chemali Z, Gutierrez-Martinez L, Parodi L, Mayerhofer E, Marini S, Nunley C, Newhouse A, Ouyang A, Brouwers H, Westover B, Rivier C, Falcone G, Howard V, Howard G, Pikula A, Ibrahim S, Sheth K, Yechoor N, Lazar R, Anderson C, Tanzi R, Fricchione G, Littlejohns T, Rosand J. The predictive validity of a Brain Care Score for dementia and stroke: data from the UK Biobank cohort. Frontiers In Neurology 2023, 14: 1291020. PMID: 38107629, PMCID: PMC10725202, DOI: 10.3389/fneur.2023.1291020.Peer-Reviewed Original ResearchRisk of dementiaIncident casesIncident dementiaCare scoresLower riskCox proportional hazards regressionSubsequent incident dementiaProportional hazards regressionUK Biobank cohortHazards regressionBaseline evaluationSignificant associationAge groupsDementiaBiobank cohortStrokeDelphi processLifestyle choicesPatientsUKB participantsRiskBaselineBehavior changeAssociationPredictive validityPrediction of post-stroke motor recovery benefits from measures of sub-acute widespread network damages
Rivier C, Preti M, Nicolo P, Van De Ville D, Guggisberg A, Pirondini E. Prediction of post-stroke motor recovery benefits from measures of sub-acute widespread network damages. Brain Communications 2023, 5: fcad055. PMID: 36938525, PMCID: PMC10016810, DOI: 10.1093/braincomms/fcad055.Peer-Reviewed Original ResearchMotor recoveryUpper extremity motor recoveryLesion masksInitial motor impairmentMagnetic resonance imagingBrain connectivity measuresWhite matter connectionsStroke patientsPatient recoveryLesion volumeClinical careMotor impairmentStroke impactWhole-brain connectomeMotor changesMotor activityPatientsResonance imagingFocal structural changesVirtual lesionInter-regional connectivityStructural connectivityWidespread alterationsBrain connectomeRecovery benefits