2025
Air pollution and stroke: Short-term exposure's varying effects on stroke subtypes
Liao M, Zhang S, He C, Breitner S, Cyrys J, Naumann M, Braadt L, Traidl-Hoffmann C, Hammel G, Peters A, Ertl M, Schneider A. Air pollution and stroke: Short-term exposure's varying effects on stroke subtypes. Ecotoxicology And Environmental Safety 2025, 298: 118296. PMID: 40373710, DOI: 10.1016/j.ecoenv.2025.118296.Peer-Reviewed Original ResearchConceptsAir pollutionParticulate matterShort-term air pollution exposureAir pollution exposureSpecific air pollutantsShort-term exposureAverage air pollutionContext of global warmingPolluted areasMonitoring sitesPollution exposureCase-crossover studyAerodynamic diameterPollutionCoarse particlesFine particlesWarm seasonNitrogen oxidesGlobal warmingMeteorological dataStroke subtypesSouthern GermanyStroke eventsConditional logistic regressionPre-existing disability
2024
Time 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
Hospital‐Level Variability in Reporting of Ischemic Stroke Subtypes and Supporting Diagnostic Evaluation in GWTG‐Stroke Registry
Mullen M, Gurol M, Prabhakaran S, Messé S, Kleindorfer D, Smith E, Fonarow G, Xu H, Zhao X, Cigarroa J, Schwamm L. Hospital‐Level Variability in Reporting of Ischemic Stroke Subtypes and Supporting Diagnostic Evaluation in GWTG‐Stroke Registry. Journal Of The American Heart Association 2023, 12: e031303. PMID: 38108258, PMCID: PMC10863791, DOI: 10.1161/jaha.123.031303.Peer-Reviewed Original ResearchConceptsHospital-level variabilityDiagnostic evaluationIschemic strokeDiagnostic testingStroke pathogenesisCryptogenic strokeSecondary preventionEtiologic subtypesRisk factorsLarge nationwide registryIschemic stroke subtypesLong-term cardiac rhythm monitoringCardiac rhythm monitoringAdequate diagnostic evaluationIntracranial vascular imagingEvidence-based interventionsNationwide registryStroke subtypesIS subtypesDocumentation ratesRhythm monitoringPatientsCardiac monitoringSubtypesStrokeOutcomes in Patients With Poststroke Seizures
Misra S, Kasner S, Dawson J, Tanaka T, Zhao Y, Zaveri H, Eldem E, Vazquez J, Silva L, Mohidat S, Hickman L, Khan E, Funaro M, Nicolo J, Mazumder R, Yasuda C, Sunnerhagen K, Ihara M, Ross J, Liebeskind D, Kwan P, Quinn T, Engel J, Mishra N. Outcomes in Patients With Poststroke Seizures. JAMA Neurology 2023, 80: 1155-1165. PMID: 37721736, PMCID: PMC10507596, DOI: 10.1001/jamaneurol.2023.3240.Peer-Reviewed Original ResearchConceptsPoststroke seizuresPoor functional outcomeLate seizuresEarly seizuresStroke subtypesFunctional outcomeOdds ratioSystematic reviewJoanna Briggs Institute toolsHemorrhagic stroke subtypesOutcomes of patientsHistory of strokeTrials of interventionsRisk of biasMeta-Analyses (PRISMA) checklistPreferred Reporting ItemsMeta-regression analysisWeb of ScienceRecurrent strokeGreater disabilityPoor outcomeDementia riskSubgroup analysisBias assessmentEgger's testDietary amino acids and risk of stroke subtypes: a prospective analysis of 356,000 participants in seven European countries
Tong T, Clarke R, Schmidt J, Huybrechts I, Noor U, Forouhi N, Imamura F, Travis R, Weiderpass E, Aleksandrova K, Dahm C, van der Schouw Y, Overvad K, Kyrø C, Tjønneland A, Kaaks R, Katzke V, Schiborn C, Schulze M, Mayen-Chacon A, Masala G, Sieri S, de Magistris M, Tumino R, Sacerdote C, Boer J, Verschuren W, Brustad M, Nøst T, Crous-Bou M, Petrova D, Amiano P, Huerta J, Moreno-Iribas C, Engström G, Melander O, Johansson K, Lindvall K, Aglago E, Heath A, Butterworth A, Danesh J, Key T. Dietary amino acids and risk of stroke subtypes: a prospective analysis of 356,000 participants in seven European countries. European Journal Of Nutrition 2023, 63: 209-220. PMID: 37804448, PMCID: PMC10799144, DOI: 10.1007/s00394-023-03251-4.Peer-Reviewed Original ResearchConceptsRisk of ischaemic strokeHaemorrhagic strokeRisk of stroke subtypesMultivariable-adjusted Cox regression modelsHazard ratioIschaemic strokeStroke subtypesCountry-specific dietary questionnairesBlood pressureConfidence intervalsEstimate hazard ratiosProline intakeMethodsWe analysed dataMultiple testingStatistically significant associationDietary recallsDietary questionnaireInverse associationCox regression modelsDiastolic blood pressureEPIC studyHigher intakeDietary amino acidsDietary intakeMutual adjustmentAge at Menopause and the Risk of Stroke: Observational and Mendelian Randomization Analysis in 204 244 Postmenopausal Women
Tschiderer L, Peters S, van der Schouw Y, van Westing A, Tong T, Willeit P, Seekircher L, Moreno‐Iribas C, Huerta J, Crous‐Bou M, Söderholm M, Schulze M, Johansson C, Själander S, Heath A, Macciotta A, Dahm C, Ibsen D, Pala V, Mellemkjær L, Burgess S, Wood A, Kaaks R, Katzke V, Amiano P, Rodriguez‐Barranco M, Engström G, Weiderpass E, Tjønneland A, Halkjær J, Panico S, Danesh J, Butterworth A, Onland‐Moret N. Age at Menopause and the Risk of Stroke: Observational and Mendelian Randomization Analysis in 204 244 Postmenopausal Women. Journal Of The American Heart Association 2023, 12: e030280. PMID: 37681566, PMCID: PMC10547274, DOI: 10.1161/jaha.123.030280.Peer-Reviewed Original ResearchConceptsMendelian randomization analysisRisk of strokeStatistically significant associationRandomization analysisSignificant associationHistory of strokeEPIC-CVDPooled mean ageHigh risk of strokeUK BiobankYears younger ageBaseline ageHazard ratioStroke subtypesObservational studyPooled hazard ratioHemorrhagic strokeEarly menopauseYounger ageMean ageHigh riskMedian Follow-UpStrokeRegression analysisWomen
2021
Frequency and Prognostic Significance of Clinical Fluctuations Before Hospital Arrival in Stroke
Romano J, Gardener H, Smith E, Campo-Bustillo I, Khan Y, Tai S, Riley N, Sacco R, Khatri P, Alger H, Mac Grory B, Gulati D, Sangha N, Olds K, Benesch C, Kelly A, Brehaut S, Kansara A, Schwamm L, Moody S, Ye W, Sobhawongse V, Craig J, Pearson H, Summers D, Boerman C, Rice C, Kintner R, Oka M, Baran S, Roels C, Dosunmu M, Chang C, Moran J, Ditrich D, Lanciano N, Mann A, Romero C, Thiele B, Salvatore D, Taylor A, Shah N, Leacock R, Rochester A, Guillerminet F, Martin J, Jones J, Brandon N, Grover V, Gibson M, Malik M, Mechem C, Logan W, Cook C, Khan M, Rood C, Babu A, Steinig L, Carlson J, Henderson M, Vidal G, Jennings B, Lynch J, Ratcliff J, Kirchoff K, Moncrieffe K, Rasmussen-Winkler J, Allen L, Thompson G, Firek C, Martino S, Georgy B, Gordon-Perue G, Vekima N, Gildersleeve K, Skewes M, Valdovinos C, Parsons T, Marques C, Chen J, Lombardi D, Perez B, Malik A, Hesse K, Guzik A, Norona S, Hoesch R, Anderson J, Altschul D, Fermin F, Salgado M, Muller J, Acosta I, Hartwell B, Neill T, Hundley C, Chowdhary A, Fortney T, Romero J, Finn B, Assad R, Ellithorpe M, Sugg R, Hetzel S, Alvi M, Sherman J, Hartman J, Orr T, Garg A, Turner M, Given C, Renfrow S, Hilburn J, Looney E, Commichau C, Jarvis P, Hahm C, Mccaulley M, Pulido A, Michel S, Ramezan-Arab N, Toussaint- Jones F, Khanna A, Olasoji E, Williams A, Purrington E, Reddy R, Potter R, Desai B, Tse-Chang K, Ufford L, Drager L, Jones K, Ellebusch T, Martino S, Dobrzynski M, Wise E, Jerde A, Chaudhary G, McLean R, Hanna J, Cook D, Marden F, Orde J, Arora A, Miller S, Reichwein R, Hoffman D, Matmati K, Matmati N, Owada K, Murphy L, Masih A, Fife B, Shepherd L, Holzmann M, Gancher S, Enoch S, Smith M, Goings D, Mazzola J, Plyler E, Landers L, Napier J, Thoreson L, Alshekhlee A, Raymond M, Ramachandran T, Jorolemon M, Padalino D, Maloney C, Mott J, Dhakal L, Murphy C, Milling T, Lawrence P, Shownkeen H, Hansen K, Cullis P, Froehlich L, Mueed S, Pavolka R, Levine S, Gilles N, Milling T, LaChance L, Nayyar K, Klein K, Dotson R, Rowe K, Coleman E, Sayles E, Gadhia R, Lee J, Lewis P, Nunley J, Sajjad R, Halliday C, Katramados A, Holmes T, Kothari R, Mader L, Chang F, Western K, Desai K, Kehr C, Reese G, Jadhav A, Steinbach M, Saver J, Avila G, Miller J, Gneiting A, Tenser M, Burke S. Frequency and Prognostic Significance of Clinical Fluctuations Before Hospital Arrival in Stroke. Stroke 2021, 53: 482-487. PMID: 34645285, DOI: 10.1161/strokeaha.121.034124.Peer-Reviewed Original ResearchConceptsHospital arrivalStroke Impact Scale-16Stroke symptomsIschemic stroke symptomsEuropean Quality of LifeQuality Improvement ProgramQuality of lifePrehospital settingEuropean QualityNIHSS changePrehospitalStroke subtypesModified Rankin ScaleObservational studyHospitalImprovement programsAlteplase treatmentClinical fluctuationsRankin ScaleStrokeOutcomesOverall improvementSymptomsNIHSSParamedicsIpsilateral internal carotid artery web and acute ischemic stroke: A cohort study, systematic review and meta-analysis
Mac Grory B, Nossek E, Reznik ME, Schrag M, Jayaraman M, McTaggart R, de Havenon A, Yaghi S, Feng W, Furie K, Boyanpally A. Ipsilateral internal carotid artery web and acute ischemic stroke: A cohort study, systematic review and meta-analysis. PLOS ONE 2021, 16: e0257697. PMID: 34534252, PMCID: PMC8448368, DOI: 10.1371/journal.pone.0257697.Peer-Reviewed Original ResearchConceptsCarotid artery webCarotid webIschemic stroke patientsCryptogenic strokeComputed tomography angiographyStroke patientsSystematic reviewCohort studyIschemic strokeRelative riskSimilar cohortAcute ischemic stroke patientsCompelling potential mechanismsCryptogenic stroke patientsComprehensive stroke centerAcute ischemic strokeEmbolic ischemic strokeEligible patientsSecondary preventionStroke centersStroke subtypesYounger patientsPooled prevalenceTomography angiographyPatientsUsefulness of Rhythm Monitoring Following Acute Ischemic Stroke
Khurshid S, Li X, Ashburner J, Lipsanopoulos A, Lee P, Lin A, Ko D, Ellinor P, Schwamm L, Benjamin E, Atlas S, Singer D, Anderson C, Trinquart L, Lubitz S. Usefulness of Rhythm Monitoring Following Acute Ischemic Stroke. The American Journal Of Cardiology 2021, 147: 44-51. PMID: 33617814, DOI: 10.1016/j.amjcard.2021.01.038.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeIschemic strokeCryptogenic strokeCause-specific hazards regressionCHARGE-AF scoreAtrial fibrillation riskRisk of deathFine-Gray modelCHARGE-AFIncident AFPrevalent AFDischarge dispositionStroke subtypesConsecutive patientsAF riskHazards regressionStroke survivorsAssessed associationsRhythm monitoringStrokeAF scorePatientsIncidenceOne-thirdRisk
2020
Stroke in Pregnancy: A Focused Update.
Miller EC, Leffert L. Stroke in Pregnancy: A Focused Update. Anesthesia & Analgesia 2020, 130: 1085-1096. PMID: 31124843, PMCID: PMC7035913, DOI: 10.1213/ane.0000000000004203.Peer-Reviewed Original ResearchConceptsHemorrhagic strokeCesarean deliveryPregnant womenIschemic strokeGeneral anesthesiaObstetric anesthesiologistHigh-risk obstetriciansLarge stroke trialsPregnancy-related strokeHigh-risk groupRisk of herniationMaternal strokeObstetric indicationsTherapeutic anticoagulationExtremity weaknessStroke neurologistsAcute strokeDevastating complicationNeuraxial analgesiaNonpregnant womenStroke subtypesIntracranial hypertensionRecent strokeVaginal deliveryStroke trials
2019
Long-Term Relative Survival after Stroke: The Dijon Stroke Registry
Romain G, Mariet A, Jooste V, Duloquin G, Thomas Q, Durier J, Giroud M, Quantin C, Béjot Y. Long-Term Relative Survival after Stroke: The Dijon Stroke Registry. Neuroepidemiology 2019, 54: 498-505. PMID: 31865347, DOI: 10.1159/000505160.Peer-Reviewed Original ResearchConceptsDijon Stroke RegistryOlder age groupsStroke subtypesStroke RegistryIschemic strokeIntracerebral hemorrhagePopulation-based Dijon Stroke RegistryAge groupsStroke-related deathLong-term outcomesSurvival profilesExcess mortality ratesLong-term survivalRelative survival methodsSex differencesUndetermined strokeCause mortalityOlder patientsYounger patientsStroke cohortICH patientsIS patientsAdjusted survivalObserved survivalGeneral population
2018
Shock Index Predicts Patient‐Related Clinical Outcomes in Stroke
Myint P, Sheng S, Xian Y, Matsouaka R, Reeves M, Saver J, Bhatt D, Fonarow G, Schwamm L, Smith E. Shock Index Predicts Patient‐Related Clinical Outcomes in Stroke. Journal Of The American Heart Association 2018, 7: e007581. PMID: 30371191, PMCID: PMC6222962, DOI: 10.1161/jaha.117.007581.Peer-Reviewed Original ResearchConceptsShock indexClinical outcomesWorse outcomesPatient-related clinical outcomesHealth Stroke ScaleBlood pressure componentsAcute stroke casesRankin Scale scoreSystolic blood pressureUseful prognostic indicatorMortality prediction modelIndividual stroke subtypesLinear spline modelsHospital mortalityHospital outcomesHospital stayStroke ScaleAcute strokeDischarge destinationBlood pressureStroke subtypesPoint of carePoor outcomePrognostic valueStroke casesLeft Atrial Appendage Morphology and Embolic Stroke of Undetermined Source: A Cross-Sectional Multicenter Pilot Study
Yaghi S, Chang AD, Hung P, Mac Grory B, Collins S, Gupta A, Reynolds J, Finn CB, Hemendinger M, Cutting SM, McTaggart RA, Jayaraman M, Leasure A, Sansing L, Panda N, Song C, Chu A, Merkler A, Gialdini G, Sheth KN, Kamel H, Elkind MSV, Greer D, Furie K, Atalay M. Left Atrial Appendage Morphology and Embolic Stroke of Undetermined Source: A Cross-Sectional Multicenter Pilot Study. Journal Of Stroke And Cerebrovascular Diseases 2018, 27: 1497-1501. PMID: 29398537, DOI: 10.1016/j.jstrokecerebrovasdis.2017.12.036.Peer-Reviewed Original ResearchConceptsLeft atrial appendageNoncardioembolic strokeLAA morphologyIschemic strokeEmbolic strokeStroke subtypesChest CTUndetermined sourcePilot studyComprehensive stroke centerMulticenter pilot studyNon-chicken wing LAA morphologyRetrospective pilot studyAtrial appendage morphologyInpatient diagnostic evaluationESUS criteriaClinical chest CTCardioembolic strokeCE strokeStroke centersConsecutive patientsAtrial fibrillationMean ageAtrial appendageDiagnostic evaluation
2015
Ischemic Stroke Patients with Active Malignancy or Extracardiac Shunts Are More Likely to Have a Right-to-Left Shunt Found by TCD Than Echocardiogram
de Havenon A, Moore A, Sultan-Qurraie A, Majersik JJ, Stoddard G, Tirschwell D. Ischemic Stroke Patients with Active Malignancy or Extracardiac Shunts Are More Likely to Have a Right-to-Left Shunt Found by TCD Than Echocardiogram. Translational Stroke Research 2015, 6: 361-364. PMID: 26205844, DOI: 10.1007/s12975-015-0414-x.Peer-Reviewed Original ResearchConceptsIschemic stroke patientsTranscranial DopplerActive malignancyLeft shuntIschemic strokeExtracardiac shuntsStroke patientsPositive transcranial DopplersRecent ischemic strokePercent of patientsComorbid medical conditionsPatent foramen ovalePulmonary arteriovenous malformationsDetection of rightNegative TTEOccult malignancyTOAST classificationCryptogenic strokeStroke subtypesForamen ovaleStandard workupShunt statusArteriovenous malformationsMedical conditionsPatients
2014
Meta-analysis of Genome-wide Association Studies Identifies 1q22 as a Susceptibility Locus for Intracerebral Hemorrhage
Woo D, Falcone GJ, Devan WJ, Brown WM, Biffi A, Howard TD, Anderson CD, Brouwers HB, Valant V, Battey TW, Radmanesh F, Raffeld MR, Baedorf-Kassis S, Deka R, Woo JG, Martin LJ, Haverbusch M, Moomaw CJ, Sun G, Broderick JP, Flaherty ML, Martini SR, Kleindorfer DO, Kissela B, Comeau ME, Jagiella JM, Schmidt H, Freudenberger P, Pichler A, Enzinger C, Hansen BM, Norrving B, Jimenez-Conde J, Giralt-Steinhauer E, Elosua R, Cuadrado-Godia E, Soriano C, Roquer J, Kraft P, Ayres AM, Schwab K, McCauley JL, Pera J, Urbanik A, Rost NS, Goldstein JN, Viswanathan A, Stögerer EM, Tirschwell DL, Selim M, Brown DL, Silliman SL, Worrall BB, Meschia JF, Kidwell CS, Montaner J, Fernandez-Cadenas I, Delgado P, Malik R, Dichgans M, Greenberg SM, Rothwell PM, Lindgren A, Slowik A, Schmidt R, Langefeld CD, Rosand J, Consortium T. Meta-analysis of Genome-wide Association Studies Identifies 1q22 as a Susceptibility Locus for Intracerebral Hemorrhage. American Journal Of Human Genetics 2014, 94: 511-521. PMID: 24656865, PMCID: PMC3980413, DOI: 10.1016/j.ajhg.2014.02.012.Peer-Reviewed Original ResearchConceptsIntracerebral hemorrhageControl cohortCase cohortRisk of ICHUnderlying vascular pathologyLobar intracerebral hemorrhageNonlobar intracerebral hemorrhageRandom digit dialingRuptured blood vesselsReplication of signalsStroke subtypesAcute treatmentWorse prognosisControl subjectsAmbulatory clinicsICH casesMeta-analyzed dataVascular pathologyDiscovery cohortCase subjectsSusceptibility lociCohortICH subtypesBlood vesselsNonlobar
2013
Behavior outcome after ischemic and hemorrhagic stroke, with similar brain damage, in rats
Mestriner R, Miguel P, Bagatini P, Saur L, Boisserand L, Baptista P, Xavier L, Netto C. Behavior outcome after ischemic and hemorrhagic stroke, with similar brain damage, in rats. Behavioural Brain Research 2013, 244: 82-89. PMID: 23403282, DOI: 10.1016/j.bbr.2013.02.001.Peer-Reviewed Original ResearchConceptsDays post-surgeryBrain damageEndotelin-1Post-surgeryNeurobiological differencesWalking recoveryOpen fieldBehavioral testsBehavioral outcomesSkilled walkingBehavioral dataStroke subtypesRecovery profileStroke heterogeneityHemorrhagic strokeHemorrhaged ratsHemorrhagic eventsSpontaneous recovery profileWistar ratsBrainClinical trialsHemorrhagic subtypesVolume of tissueHemorrhagic insultLesion size
2009
A score to predict early risk of recurrence after ischemic strokeSYMBOLSYMBOL
Ay H, Gungor L, Arsava E, Rosand J, Vangel M, Benner T, Schwamm L, Furie K, Koroshetz W, Sorensen A. A score to predict early risk of recurrence after ischemic strokeSYMBOLSYMBOL. Neurology 2009, 74: 128-135. PMID: 20018608, PMCID: PMC2809031, DOI: 10.1212/wnl.0b013e3181ca9cff.Peer-Reviewed Original ResearchConceptsRecurrent strokeEarly riskPrognostic scoreConsecutive ischemic stroke patientsComprehensive prognostic scoreTIA/strokeAcute stroke careIschemic stroke patientsPredictors of recurrenceRisk of recurrenceCox regression modelEtiologic stroke subtypesPatient management algorithmsBrain infarctsAcute settingIschemic strokeStroke subtypesIndependent predictorsStroke careStroke patientsImaging featuresPrior historySeparate cohortClinical practiceStrokeInfluence of stroke subtype on quality of care in the Get With The Guidelines–Stroke Program
Smith E, Liang L, Hernandez A, Reeves M, Cannon C, Fonarow G, Schwamm L. Influence of stroke subtype on quality of care in the Get With The Guidelines–Stroke Program. Neurology 2009, 73: 709-716. PMID: 19720978, PMCID: PMC2734292, DOI: 10.1212/wnl.0b013e3181b59a6e.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCerebral HemorrhageEmergency Medical ServicesFemaleGuideline AdherenceHospitalsHumansMaleMiddle AgedOutcome Assessment, Health CarePractice Guidelines as TopicQuality Assurance, Health CareQuality of Health CareRisk Reduction BehaviorSmoking CessationStrokeSubarachnoid HemorrhageUnited StatesVenous ThrombosisConceptsQuality of careIS/TIAIntracerebral hemorrhageIschemic strokeStroke subtypesTIA admissionsHemorrhagic strokeCare measuresDeep venous thrombosis preventionHospital-based acute careGuidelines-Stroke databaseGuidelines-Stroke programGWTG-Stroke programVenous thrombosis preventionSmoking cessation therapyMeasures of careLogistic regression modelsDVT preventionIneligible patientsNational GetDysphagia screeningCessation therapySAH patientsAcute careICH patients
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