2025
Standard complete blood count to predict long‐term outcomes in febrile infection–related epilepsy syndrome (FIRES): A multicenter study
Guillemaud M, Hanin A, Riviello J, Chavez M, Batra A, Berry M, Bisulli F, Castillo‐Pinto C, Cobos‐Hernandez C, Demeret S, Eschbach K, Farias‐Moeller R, Fields M, Gaspard N, Gerard E, Gofton T, Gopaul M, Gruen M, Jimenez A, Kazazian K, Kim M, Mansour M, Marcuse L, Marois C, Morales M, Muccioli L, Pasini E, Pham M, Rosas S, Struck A, Torcida N, Wainwright M, Yoo J, Muscal E, Navarro V, Hirsch L, Lai Y. Standard complete blood count to predict long‐term outcomes in febrile infection–related epilepsy syndrome (FIRES): A multicenter study. Epilepsia 2025 DOI: 10.1111/epi.18605.Peer-Reviewed Original ResearchFebrile infection-related epilepsy syndromeMonocyte-to-lymphocyte ratioNeutrophil-to-lymphocyte ratioComplete blood countNew-onset refractory status epilepticusSecond-line immunotherapyUnfavorable outcomeBlood countComplete blood count levelsHigh red cell distribution widthEpilepsy syndromesTreatment phaseFirst-line immunotherapyInitiation of immunotherapyRed cell distribution widthRefractory status epilepticusComplete blood count dataCell distribution widthLong-term outcomesIntensive care unitSubtypes of leukocytesLeave-one-patient-outMulticenter studyStatus epilepticusImmunotherapy
2024
Mouse Models of Hereditary Xerocytosis-Associated PIEZO1 Mutations Reveal Genotype-Phenotype Differences in Hematological Defects and Iron Loading
Finberg K, Peres Diaz L, Shan P, Chua E, Lalwani K, Gallagher P. Mouse Models of Hereditary Xerocytosis-Associated PIEZO1 Mutations Reveal Genotype-Phenotype Differences in Hematological Defects and Iron Loading. Blood 2024, 144: 3851-3851. DOI: 10.1182/blood-2024-203740.Peer-Reviewed Original ResearchRed cell distribution widthHereditary xerocytosisSpleen weight/body weight ratioRed blood cell countMean corpuscular volumeCompared to wild-typeHematological defectsMouse modelHeart weight/body weight ratioWild-typeIron loadingComplete blood count analysisRed blood cell turnoverSerum transferrin saturationC57BL/6 genetic backgroundSerum hepcidin levelsLiver iron loadingYoung adult miceGenotype-phenotype differencesCell distribution widthMean corpuscular hemoglobinGain-of-function mutationsBlood count analysisNon-heme iron concentrationsRed cell indices
2021
Red Cell Distribution Width to Assess Heart Failure Post Left Ventricular Assist Device Implantation
Stawiarski K, Agboola O, Bonde R, Bonde P. Red Cell Distribution Width to Assess Heart Failure Post Left Ventricular Assist Device Implantation. The Journal Of Heart And Lung Transplantation 2021, 40: s436. DOI: 10.1016/j.healun.2021.01.1216.Peer-Reviewed Original ResearchRed cell distribution widthChronic heart failureCell distribution widthCause mortalityImpact of RDWIncreased red cell distribution widthVentricular assist device implantationVentricular assist device therapyDistribution widthPersistent volume overloadAssist device implantationPost-LVAD implantationCox regression modelRed blood cell volumeBone marrow dysfunctionKaplan-Meir plotsBlood cell volumeLack of associationLog-rank statisticsRDW tertilesCox modellingLVAD implantationLVAD placementHeart failureUnadjusted survival
2016
Novel biomarkers with potential for cardiovascular risk reclassification
Mallikethi-Reddy S, Briasoulis A, Akintoye E, Afonso L. Novel biomarkers with potential for cardiovascular risk reclassification. Biomarkers 2016, 22: 189-199. PMID: 27299923, DOI: 10.1080/1354750x.2016.1201540.Peer-Reviewed Original ResearchConceptsRed cell distribution widthCardiovascular risk reclassificationRisk reclassificationNovel risk markersCardiovascular risk predictionCell distribution widthCardiovascular riskCVD eventsMultivariate risk modelIntermediate riskAbsolute riskAsymptomatic individualsSerum biomarkersRisk markersTreatment recommendationsRisk factorsCystatin CNovel biomarkersRisk modelDistribution widthBiomarkersRisk predictionPatientsRiskReclassification
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