2022
Practice patterns and real-life outcomes for patients with acute promyelocytic leukemia in the United States
Bewersdorf JP, Prozora S, Podoltsev NA, Shallis R, Huntington SF, Neparidze N, Wang R, Zeidan AM, Davidoff AJ. Practice patterns and real-life outcomes for patients with acute promyelocytic leukemia in the United States. Blood Advances 2022, 6: 376-385. PMID: 34724703, PMCID: PMC8791583, DOI: 10.1182/bloodadvances.2021005642.Peer-Reviewed Original ResearchConceptsAcute promyelocytic leukemiaAdverse outcomesPromyelocytic leukemiaNational Comprehensive Cancer Network guidelinesBaseline white blood cell countFavorable long-term prognosisWhite blood cell countVizient Clinical Data BaseGuideline-concordant regimensGuideline-concordant therapyGuideline-concordant treatmentGuideline-recommended therapiesBaseline clinical characteristicsHigh-risk diseaseLong-term prognosisPopulation-based registryBlood cell countClinical data baseLarge database analysisLogistic regression modelsTreatment concordanceClinical characteristicsReal-world practiceTreatment patternsNetwork guidelines
2020
Patterns of care and clinical outcomes with cytarabine-anthracycline induction chemotherapy for AML patients in the United States
Zeidan AM, Podoltsev NA, Wang X, Zhang C, Bewersdorf JP, Shallis RM, Huntington SF, Neparidze N, Giri S, Gore SD, Davidoff AJ, Ma X, Wang R. Patterns of care and clinical outcomes with cytarabine-anthracycline induction chemotherapy for AML patients in the United States. Blood Advances 2020, 4: 1615-1623. PMID: 32311013, PMCID: PMC7189301, DOI: 10.1182/bloodadvances.2020001728.Peer-Reviewed Original ResearchConceptsIntensive induction chemotherapyAcute myeloid leukemiaHospital deathInduction chemotherapyAdult patientsMultivariable logistic regression modelLow hospital volumePremier Healthcare DatabasePredictors of deathHealthcare resource utilizationIntensive care unitPatterns of careStandard of careLogistic regression modelsFit patientsRemission inductionFirst hospitalizationHospital volumeInpatient deathInpatient mortalityOlder patientsSupportive careMedian ageAML patientsCare unitManagement of hyperleukocytosis and impact of leukapheresis among patients with acute myeloid leukemia (AML) on short- and long-term clinical outcomes: a large, retrospective, multicenter, international study
Stahl M, Shallis RM, Wei W, Montesinos P, Lengline E, Neukirchen J, Bhatt VR, Sekeres MA, Fathi AT, Konig H, Luger S, Khan I, Roboz GJ, Cluzeau T, Martínez-Cuadron D, Raffoux E, Germing U, Umakanthan JM, Mukherjee S, Brunner AM, Miller A, McMahon CM, Ritchie EK, Rodríguez-Veiga R, Itzykson R, Boluda B, Rabian F, Tormo M, Acuña-Cruz E, Rabinovich E, Yoo B, Cano I, Podoltsev NA, Bewersdorf JP, Gore S, Zeidan AM. Management of hyperleukocytosis and impact of leukapheresis among patients with acute myeloid leukemia (AML) on short- and long-term clinical outcomes: a large, retrospective, multicenter, international study. Leukemia 2020, 34: 3149-3160. PMID: 32132655, PMCID: PMC8155811, DOI: 10.1038/s41375-020-0783-3.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaOverall survivalMyeloid leukemiaMultivariate analysisLong-term clinical outcomesComposite complete remissionImpact of leukapheresisManagement of hyperleukocytosisMedian overall survivalThirty-day mortalityHigh-quality evidenceWhite cell countProportional hazards modelUse of leukapheresisLogistic regression modelsSignificant resource useIntensive chemotherapyComplete remissionHazard ratioClinical outcomesInferior outcomesUnadjusted analysesQuality evidencePotential complicationsOdds ratio
2019
Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis
Zeidan AM, Podoltsev NA, Wang X, Bewersdorf JP, Shallis RM, Huntington SF, Gore SD, Davidoff AJ, Ma X, Wang R. Temporal patterns and predictors of receiving no active treatment among older patients with acute myeloid leukemia in the United States: A population‐level analysis. Cancer 2019, 125: 4241-4251. PMID: 31483484, PMCID: PMC7733320, DOI: 10.1002/cncr.32439.Peer-Reviewed Original ResearchConceptsAcute myeloid leukemiaTime of diagnosisOlder patientsActive treatmentMyeloid leukemiaMultivariable logistic regression modelMedian overall survivalPercentage of patientsLow-intensity therapyMajority of patientsNovel therapeutic optionsQuality of careLogistic regression modelsIntensity therapyTherapy receiptOverall survivalWorse survivalClinical factorsInferior survivalEntire cohortTherapeutic optionsPatient populationRetrospective analysisHigher oddsProvider characteristicsUnderutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States
Giri S, Zhu W, Wang R, Zeidan A, Podoltsev N, Gore SD, Neparidze N, Ma X, Gross CP, Davidoff AJ, Huntington SF. Underutilization of guideline‐recommended supportive care among older adults with multiple myeloma in the United States. Cancer 2019, 125: 4084-4095. PMID: 31381151, DOI: 10.1002/cncr.32428.Peer-Reviewed Original ResearchConceptsBone-modifying drugsSupportive careMultiple myelomaInfluenza vaccinationAntiviral prophylaxisOlder adultsLower oddsEnd Results-Medicare databaseNon-Hispanic black patientsMultivariable logistic regression modelBaseline renal impairmentSupportive care useTreatment-related toxicityFacility-level characteristicsNon-Hispanic blacksOutcomes of interestCommunity-based settingsLogistic regression modelsRenal impairmentActive treatmentBlack patientsCare useConcomitant useProphylactic antiviralsReduced odds
2018
The use of immunosuppressive therapy in MDS: clinical outcomes and their predictors in a large international patient cohort
Stahl M, DeVeaux M, de Witte T, Neukirchen J, Sekeres MA, Brunner AM, Roboz GJ, Steensma DP, Bhatt VR, Platzbecker U, Cluzeau T, Prata PH, Itzykson R, Fenaux P, Fathi AT, Smith A, Germing U, Ritchie EK, Verma V, Nazha A, Maciejewski JP, Podoltsev NA, Prebet T, Santini V, Gore SD, Komrokji RS, Zeidan AM. The use of immunosuppressive therapy in MDS: clinical outcomes and their predictors in a large international patient cohort. Blood Advances 2018, 2: 1765-1772. PMID: 30037803, PMCID: PMC6058241, DOI: 10.1182/bloodadvances.2018019414.Peer-Reviewed Original ResearchConceptsAnti-thymocyte globulinRBC transfusion independenceImmunosuppressive therapyTransfusion independenceOverall response rateHypocellular bone marrowMyelodysplastic syndromeOverall survivalBone marrowRed blood cell transfusion independenceHorse anti-thymocyte globulinRabbit anti-thymocyte globulinInternational Working Group criteriaCox proportional hazards modelSingle-center natureMedian overall survivalKaplan-Meier methodLarge international cohortLarge international patient cohortProportional hazards modelInternational patient cohortPredictors of benefitParoxysmal nocturnal hemoglobinuriaLogistic regression modelsSteroid monotherapy
2016
The Use of Hypomethylating Agents (HMAs) in Patients with Relapsed and Refractory Acute Myeloid Leukemia (RR-AML): Clinical Outcomes and Their Predictors in a Large International Patient Cohort
Stahl M, Podoltsev N, DeVeaux M, Perreault S, Itzykson R, Ritchie E, Sekeres M, Fathi A, Komrokji R, Bhatt V, Al-Kali A, Cluzeau T, Santini V, Brunner A, Roboz G, Fenaux P, Litzow M, Vey N, Verma V, Germing U, Fernández P, Zelterman D, Kim T, Prebet T, Gore S, Zeidan A. The Use of Hypomethylating Agents (HMAs) in Patients with Relapsed and Refractory Acute Myeloid Leukemia (RR-AML): Clinical Outcomes and Their Predictors in a Large International Patient Cohort. Blood 2016, 128: 1063. DOI: 10.1182/blood.v128.22.1063.1063.Peer-Reviewed Original ResearchMultivariable logistic regression modelRR-AMLMinority of patientsOverall survivalPrior linesHypomethylating agentHMA therapyMedian numberLogistic regression modelsChromosome 7 abnormalitiesStable diseaseBlast percentageHematologic improvementProgressive diseaseHazard ratioClinical outcomesSpeakers bureauMultivariable Cox proportional hazards modelsPeripheral blood blast percentageRefractory acute myeloid leukemiaAllogeneic stem cell transplantationInternational Working Group criteriaWhite blood cell countCox proportional hazards modelBM blast percentage