2021
A neutrophil activation signature predicts critical illness and mortality in COVID-19
Meizlish ML, Pine AB, Bishai JD, Goshua G, Nadelmann ER, Simonov M, Chang CH, Zhang H, Shallow M, Bahel P, Owusu K, Yamamoto Y, Arora T, Atri DS, Patel A, Gbyli R, Kwan J, Won CH, Dela Cruz C, Price C, Koff J, King BA, Rinder HM, Wilson FP, Hwa J, Halene S, Damsky W, van Dijk D, Lee AI, Chun HJ. A neutrophil activation signature predicts critical illness and mortality in COVID-19. Blood Advances 2021, 5: 1164-1177. PMID: 33635335, PMCID: PMC7908851, DOI: 10.1182/bloodadvances.2020003568.Peer-Reviewed Original ResearchConceptsCritical illnessHealth system databaseNeutrophil activationCOVID-19Neutrophil activation signatureSevere COVID-19Intensive care unitGranulocyte colony-stimulating factorHigh mortality rateColony-stimulating factorSystem databaseHepatocyte growth factorClinical decompensationNeutrophil countImmune hyperactivationCare unitEarly elevationLipocalin-2Interleukin-8Longitudinal cohortClinical dataMortality ratePatientsIllnessActivation signatureChallenges in the Evaluation and Management of Toxicities Arising From Immune Checkpoint Inhibitor Therapy for Patients With Myeloid Malignancies
Shallis RM, Bewersdorf JP, Swoboda DM, Wei W, Gowda L, Prebet T, Halene S, Pillai MM, Parker T, Neparidze N, Podoltsev NA, Seropian S, Sallman DA, Gore SD, Zeidan AM. Challenges in the Evaluation and Management of Toxicities Arising From Immune Checkpoint Inhibitor Therapy for Patients With Myeloid Malignancies. Clinical Lymphoma Myeloma & Leukemia 2021, 21: e483-e487. PMID: 33551344, DOI: 10.1016/j.clml.2021.01.003.Peer-Reviewed Original Research
2020
Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study
Goshua G, Pine AB, Meizlish ML, Chang CH, Zhang H, Bahel P, Baluha A, Bar N, Bona RD, Burns AJ, Dela Cruz CS, Dumont A, Halene S, Hwa J, Koff J, Menninger H, Neparidze N, Price C, Siner JM, Tormey C, Rinder HM, Chun HJ, Lee AI. Endotheliopathy in COVID-19-associated coagulopathy: evidence from a single-centre, cross-sectional study. The Lancet Haematology 2020, 7: e575-e582. PMID: 32619411, PMCID: PMC7326446, DOI: 10.1016/s2352-3026(20)30216-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overBetacoronavirusBiomarkersBlood Coagulation DisordersCoronavirus InfectionsCOVID-19Critical IllnessCross-Sectional StudiesEndothelium, VascularFemaleFollow-Up StudiesHumansIntensive Care UnitsMaleMiddle AgedPandemicsPneumonia, ViralPrognosisSARS-CoV-2Vascular DiseasesYoung AdultConceptsCOVID-19-associated coagulopathyNon-ICU patientsIntensive care unitKaplan-Meier analysisSoluble P-selectinCross-sectional studyPlatelet activationHospital dischargeICU patientsSoluble thrombomodulinEndothelial cellsVWF antigenCOVID-19P-selectinSingle-center cross-sectional studyLaboratory-confirmed COVID-19Medical intensive care unitSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogenesisVon Willebrand factor antigenSoluble thrombomodulin concentrationsVWF antigen concentrationEndothelial cell injurySoluble CD40 ligandMicrovascular complicationsAdult patients
2018
Small Cell Variant of Intravascular Large B‐Cell Lymphoma: Highlighting a Potentially Fatal and Easily Missed Diagnosis
Rahmani M, Halene S, Xu ML. Small Cell Variant of Intravascular Large B‐Cell Lymphoma: Highlighting a Potentially Fatal and Easily Missed Diagnosis. BioMed Research International 2018, 2018: 9413015. PMID: 29850589, PMCID: PMC5903319, DOI: 10.1155/2018/9413015.Peer-Reviewed Case Reports and Technical NotesMeSH KeywordsAdultAgedAged, 80 and overBiopsyDemographyFemaleFollow-Up StudiesHumansLiverLymphoma, Large B-Cell, DiffuseMaleMiddle AgedConceptsIntravascular large B-cell lymphomaB-cell lymphomaLarge B-cell lymphomaSmall cell morphologySmall cell variantCases of IVLBCLCell variantHodgkin's B-cell lymphomaRandom skin biopsySmall bowel biopsyHigh clinical suspicionLarge atypical cellsSmall cell lymphomaSmall blood vesselsBowel biopsyClinical suspicionLymph nodesRetrospective reviewClinicopathologic featuresSmall bowelPoor prognosisAtypical cellsFallopian tubeSkin biopsiesDifferential diagnosis
2017
Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life
Wang R, Zeidan AM, Halene S, Xu X, Davidoff AJ, Huntington SF, Podoltsev NA, Gross CP, Gore SD, Ma X. Health Care Use by Older Adults With Acute Myeloid Leukemia at the End of Life. Journal Of Clinical Oncology 2017, 35: jco.2017.72.714. PMID: 28783450, PMCID: PMC5648174, DOI: 10.1200/jco.2017.72.7149.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaDays of lifeEnd of lifeLife careHospice careOlder patientsHospice enrollmentMyeloid leukemiaIntensive care unit admissionMultivariable logistic regression analysisOlder adultsLate hospice enrollmentCare unit admissionRetrospective cohort studyUse of chemotherapyIntensive care unitHealth care useLogistic regression analysisYears of ageUnit admissionAggressive treatmentCohort studyOverall cohortAML diagnosisCare unit
2010
Pattern of hypomethylating agents use among elderly patients with myelodysplastic syndromes
Wang R, Gross CP, Maggiore RJ, Halene S, Soulos PR, Raza A, Galili N, Ma X. Pattern of hypomethylating agents use among elderly patients with myelodysplastic syndromes. Leukemia Research 2010, 35: 904-908. PMID: 21067809, PMCID: PMC3114277, DOI: 10.1016/j.leukres.2010.10.007.Peer-Reviewed Original ResearchConceptsMyelodysplastic syndromePatient characteristicsRefractory anemiaMultivariate logistic regression modelMultiple patient characteristicsPopulation-based studyUse of HMAsLogistic regression modelsElderly patientsExcess blastsMultilineage dysplasiaRefractory cytopeniaMDS patientsPatientsComorbiditiesAnemiaSyndromeHigher chanceRegression modelsHMAsAgentsIntroduction periodCytopeniasDysplasiaCancer
2009
Neighborhood socioeconomic status influences the survival of elderly patients with myelodysplastic syndromes in the United States
Wang R, Gross CP, Halene S, Ma X. Neighborhood socioeconomic status influences the survival of elderly patients with myelodysplastic syndromes in the United States. Cancer Causes & Control 2009, 20: 1369-1376. PMID: 19455395, PMCID: PMC2921772, DOI: 10.1007/s10552-009-9362-7.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overFemaleHumansMaleMyelodysplastic SyndromesResidence CharacteristicsSocial ClassSurvival AnalysisUnited StatesConceptsNeighborhood socioeconomic statusMyelodysplastic syndromeSocioeconomic statusElderly patientsHazard ratioMultivariate Cox proportional hazards modelCox proportional hazards modelSurvival of patientsPopulation-based studyRisk of deathRisk of mortalityProportional hazards modelImpact of SESLow socioeconomic statusCensus tractsPrognostic roleMDS patientsIndependent determinantsRefractory anemiaHistological subtypesHazards modelPatientsSES statusTractS scoresComorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes
Wang R, Gross CP, Halene S, Ma X. Comorbidities and survival in a large cohort of patients with newly diagnosed myelodysplastic syndromes. Leukemia Research 2009, 33: 1594-1598. PMID: 19324411, PMCID: PMC2749891, DOI: 10.1016/j.leukres.2009.02.005.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCohort StudiesComorbidityFemaleHumansMaleMyelodysplastic SyndromesProportional Hazards ModelsConceptsMyelodysplastic syndromeHazard ratioComorbid conditionsMDS patientsCharlson indexMultivariate Cox proportional hazards modelPrognosis of MDSChronic obstructive pulmonary diseaseCox proportional hazards modelLarge population-based studyCongestive heart failureObstructive pulmonary diseaseRole of comorbiditiesMedian survival timePopulation-based studyProportional hazards modelMDS survivalHeart failurePulmonary diseaseIndependent determinantsShorter survivalLarge cohortSurvival timeHazards modelComorbidities