2024
Pre-emptive therapeutic decisions based on measurable residual disease status in acute myeloid leukemia: ready for prime time?
El Chaer F, Perissinotti A, Loghavi S, Zeidan A. Pre-emptive therapeutic decisions based on measurable residual disease status in acute myeloid leukemia: ready for prime time? Leukemia 2024, 1-7. PMID: 39496917, DOI: 10.1038/s41375-024-02458-6.Peer-Reviewed Original ResearchAcute myeloid leukemiaMyeloid leukemiaCore binding factor acute myeloid leukemiaIncreased risk of relapseResidual disease statusPost-allo-HCTHematopoietic cell transplantationRisk of relapseTherapeutic decision-makingInnovative treatment strategiesMRD-positiveIntensive chemotherapyMRD monitoringCell transplantationNPM1 mutationsImprove patient outcomesRisk stratificationTherapeutic decisionsTreatment strategiesIncreased riskRisk factorsMRDNatural historyPreemptive interventionAssess diseaseRisk prediction for clonal cytopenia: multicenter real-world evidence
Xie Z, Komrokji R, Al Ali N, Regelson A, Geyer S, Patel A, Saygin C, Zeidan A, Bewersdorf J, Mendez L, Kishtagari A, Zeidner J, Coombs C, Madanat Y, Chung S, Badar T, Foran J, Desai P, Tsai C, Griffiths E, Al Malki M, Amanam I, Lai C, Deeg H, Ades L, Arana Yi C, Osman A, Dinner S, Abaza Y, Taylor J, Chandhok N, Soong D, Brunner A, Carraway H, Singh A, Elena C, Ferrari J, Gallì A, Pozzi S, Padron E, Patnaik M, Malcovati L, Savona M, Al-Kali A. Risk prediction for clonal cytopenia: multicenter real-world evidence. Blood 2024, 144: 2033-2044. PMID: 38996210, PMCID: PMC11561536, DOI: 10.1182/blood.2024024756.Peer-Reviewed Original ResearchMyeloid neoplasmsIncidence of MNClonal cytopeniaCumulative incidencePlatelet count <High-risk mutationsCox proportional hazards modelsVariant allele fractionProportional hazards modelClinical trial designCCUS patientsStratify patientsGray's testC-indexDisease entityRisk groupsCytopeniasAllele fractionSomatic mutationsRisk factorsHigh riskNatural historyRisk scoreHazards modelPatientsDifferentiation syndrome associated with treatment with IDH2 inhibitor enasidenib: pooled analysis from clinical trials
Montesinos P, Fathi A, de Botton S, Stein E, Zeidan A, Zhu Y, Prebet T, Vigil C, Bluemmert I, Yu X, DiNardo C. Differentiation syndrome associated with treatment with IDH2 inhibitor enasidenib: pooled analysis from clinical trials. Blood Advances 2024, 8: 2509-2519. PMID: 38507688, PMCID: PMC11131052, DOI: 10.1182/bloodadvances.2023011914.Peer-Reviewed Original ResearchAcute myeloid leukemiaDevelopment of differentiation syndromeRisk factorsPooled analysisIDH2-mutant acute myeloid leukemiaClinical trialsAcute myeloid leukemia populationMedian time to onsetClinical features of DSBone marrow blastsNon-specific symptomsTime to onsetBaseline risk factorsTreatment of DSSymptoms of DSIdentified risk factorsFeatures of DSMarrow blastsSystemic steroidsPulmonary infiltratesClinical responseMutant IDH2 inhibitorMyeloid leukemiaClinical featuresGrade 3
2018
Epidemiology of myelodysplastic syndromes: Why characterizing the beast is a prerequisite to taming it
Zeidan AM, Shallis RM, Wang R, Davidoff A, Ma X. Epidemiology of myelodysplastic syndromes: Why characterizing the beast is a prerequisite to taming it. Blood Reviews 2018, 34: 1-15. PMID: 30314642, DOI: 10.1016/j.blre.2018.09.001.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCase ascertainmentAllogeneic hematopoietic stem cell transplantationAnnual age-adjusted incidenceHematopoietic stem cell transplantationOutcomes of patientsAge-adjusted incidenceStem cell transplantationAcute myeloid leukemiaTraditional morphologic assessmentClassification of MDSVariable cytopeniasCell transplantationMyelodysplastic syndromePrior receiptInefficient hematopoiesisEffective therapyMale genderRisk factorsMyeloid leukemiaEpidemiological trendsTreatment decisionsMyeloid neoplasmsEpidemiological assessmentDiagnostic criteriaTemporal improvement
2016
The Interactions Between Diabetes Mellitus and Myelodysplastic Syndromes: Current State of Evidence and Future Directions.
Hamoudeh E, Zeidan AM, Barbarotta L, Rosano N. The Interactions Between Diabetes Mellitus and Myelodysplastic Syndromes: Current State of Evidence and Future Directions. Current Diabetes Reviews 2016, 12: 231-9. PMID: 26008639, DOI: 10.2174/1573399811666150526151241.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsDiabetes mellitusMyelodysplastic syndromeDiabetic patientsManagement of MDSOutcomes of patientsEnd-organ damageRisk of progressionRisk of complicationsCommon hematologic malignancyIntensive therapeutic interventionMultiple epidemiologic studiesAcute myeloid leukemiaLow blood countsDiabetic controlAdjunct drugsGlucose controlBlood countImportant unmetInsulin resistanceDysplastic changesHematologic malignanciesRisk factorsMyeloid leukemiaEpidemiologic studiesTherapeutic interventions
2015
Secondary Myeloid Neoplasms in Older Women with Breast Cancer after Radiotherapy: A Population-Based Study
Zeidan A, Long J, Wang R, Yu J, Hall J, Abel G, Gore S, Gross C, Ma X, Davidoff A. Secondary Myeloid Neoplasms in Older Women with Breast Cancer after Radiotherapy: A Population-Based Study. Blood 2015, 126: 1676. DOI: 10.1182/blood.v126.23.1676.1676.Peer-Reviewed Original ResearchTherapy-related myeloid neoplasmsMDS/acute myeloid leukemiaSingle-modality radiotherapyAcute myeloid leukemiaBreast cancer patientsMonths of diagnosisEarly breast cancerCompeting-risk analysisMyelodysplastic syndromeBreast cancerCancer patientsBreast cancer diagnosisRisk factorsMyeloid neoplasmsRadiation therapyAML/myelodysplastic syndromeFemale breast cancer patientsNational Cancer Institute's SurveillanceRadiotherapy-treated patientsReceipt of radiotherapySecondary myeloid neoplasmsRetrospective cohort studyCancer diagnosisNumber of comorbiditiesBetter overall survivalEliminating Health Care Disparities With Mandatory Clinical Decision Support
Lau BD, Haider AH, Streiff MB, Lehmann CU, Kraus PS, Hobson DB, Kraenzlin FS, Zeidan AM, Pronovost PJ, Haut ER. Eliminating Health Care Disparities With Mandatory Clinical Decision Support. Medical Care 2015, 53: 18-24. PMID: 25373403, PMCID: PMC4262632, DOI: 10.1097/mlr.0000000000000251.Peer-Reviewed Original ResearchConceptsQuality improvement interventionsHealth care disparitiesVTE prophylaxis prescriptionProphylaxis prescriptionCare disparitiesImprovement interventionsCCDS toolsVTE prophylaxisWhite patientsRisk factorsVenous thromboembolism risk factorsClinical servicesComputerized clinical decision support toolRacial disparitiesHospitalized medical patientsRisk-appropriate prophylaxisVTE prophylaxis regimenAdult trauma patientsRetrospective cohort studyVTE risk factorsProportion of patientsThromboembolism risk factorsClinical decision support toolCompletion of checklistsPharmacological prophylaxis
2011
Impact of a Venous Thromboembolism Prophylaxis “Smart Orderset”: Improved Compliance, Fewer Events
Zeidan A, Streiff M, Ahmed S, Kraus P, Hobson D, Horn P, Shermock K, Tinoco G, Haut E. Impact of a Venous Thromboembolism Prophylaxis “Smart Orderset”: Improved Compliance, Fewer Events. Blood 2011, 118: 172. DOI: 10.1182/blood.v118.21.172.172.Peer-Reviewed Original ResearchVTE risk factorsVTE prophylaxisRisk factorsSymptomatic VTEMajor bleedingPharmacologic prophylaxisPatient demographicsExact testRetrospective cohort chart reviewRisk-appropriate VTE prophylaxisCohort chart reviewOutcome adjudication committeeRisk of VTEVTE prophylaxis guidelinesVTE prophylaxis recommendationsPost-hospital dischargeVenous thromboembolism prophylaxisSanofi-AventisPrimary outcome measureFisher's exact testT-testStudent's t-testDaily heparinHospital VTEProphylaxis guidelines