2023
Clinical Implications of TP53 Mutations/Allelic State in Patients (Pts) with Myelodysplastic Syndromes/Neoplasms (MDS) Treated with Hypomethylating Agents (HMA)- a Multicenter, Retrospective Analysis from the Validate Database
Kewan T, Bewersdorf J, Blaha O, Stahl M, Al Ali N, DeZern A, Sekeres M, Carraway H, Desai P, Griffiths E, Stein E, Brunner A, Amaya M, Zeidner J, Savona M, Stempel J, Chandhok N, Cochran H, Ramaswamy R, Singh A, Roboz G, Rolles B, Wang E, Harris A, Shallis R, Xie Z, Padron E, Maciejewski J, Della Porta M, Komrokji R, Sallman D, Zeidan A. Clinical Implications of TP53 Mutations/Allelic State in Patients (Pts) with Myelodysplastic Syndromes/Neoplasms (MDS) Treated with Hypomethylating Agents (HMA)- a Multicenter, Retrospective Analysis from the Validate Database. Blood 2023, 142: 1002. DOI: 10.1182/blood-2023-186875.Peer-Reviewed Original ResearchOverall response rateMedian overall survivalOverall survivalComplete responseHMA initiationHMA therapyMultivariable Cox proportional hazards regression modelsCox proportional hazards regression modelHigh-risk disease featuresComplex karyotypeProportional hazards regression modelsWorse overall survivalLog-rank testHazards regression modelsSignificant differencesLogistic regression modelsAllogenic HSCTBM biopsyHMA cyclesMDS-EBTherapy initiationMedian ageRegression modelsCR ratePoor outcomeComparable Survival of Treatment Naïve TP53 Mutated Acute Myeloid Leukemia Treated with Hypomethylating Agent Compared to Hypomethylating Agent Plus Venetoclax Based Therapy
Badar T, Atallah E, Shallis R, Patel A, De Camargo Correia G, Goldberg A, Saliba A, Bewersdorf J, Duvall A, Bradshaw D, Abaza Y, Murthy S, Palmisiano N, Kota V, Litzow M. Comparable Survival of Treatment Naïve TP53 Mutated Acute Myeloid Leukemia Treated with Hypomethylating Agent Compared to Hypomethylating Agent Plus Venetoclax Based Therapy. Blood 2023, 142: 592. DOI: 10.1182/blood-2023-184626.Peer-Reviewed Original ResearchAcute myeloid leukemiaComplete remission rateOverall survivalDuration of responseMultivariable analysisComplex cytogeneticsAllo-HCTRemission rateMyeloid leukemiaAllogeneic stem cell transplantSecondary acute myeloid leukemiaAdverse-risk diseaseCR/CRiMedian overall survivalOutcome of ptsResults Baseline characteristicsKaplan-Meier methodMore effective treatment strategiesSignificant univariate predictorsStem cell transplantEffective treatment strategiesReal-world studyLogistic regression modelsMedian followVEN group
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
2021
Clinical characteristics and outcomes of splenic infarction in cancer patients: a retrospective, single center report of 206 cases
Bewersdorf JP, Parmar N, Israel GM, Gettinger SN, Lee AI. Clinical characteristics and outcomes of splenic infarction in cancer patients: a retrospective, single center report of 206 cases. Journal Of Thrombosis And Thrombolysis 2021, 52: 854-862. PMID: 33765243, DOI: 10.1007/s11239-021-02428-0.Peer-Reviewed Original ResearchConceptsAtrial fibrillation/flutterSplenic infarctCancer patientsThromboembolic eventsRisk factorsHigh riskExact testMultivariable logistic regression modelYale-New Haven HospitalRetrospective cohort studyThromboembolic risk factorsUse of anticoagulationVenous thromboembolic eventsSingle-center reportsΧ2 testLow platelet countFisher's exact testNew Haven HospitalMultivariable regression modelsLow recurrence riskLogistic regression modelsPearson χ2 testAnticoagulation useClinical characteristicsCohort study
2020
Clinical Characteristics and Outcomes of Splenic Infarction in Cancer Patients - a Retrospective, Single Center Report of 206 Cases
Bewersdorf J, Parmar N, Gettinger S, Israel G, Lee A. Clinical Characteristics and Outcomes of Splenic Infarction in Cancer Patients - a Retrospective, Single Center Report of 206 Cases. Blood 2020, 136: 22-23. DOI: 10.1182/blood-2020-136646.Peer-Reviewed Original ResearchSubsequent venous thromboembolic eventsVenous thromboembolic eventsAtrial fibrillation/flutterMultivariable logistic regression modelSplenic infarctCancer ptsSplenic vasculatureLogistic regression modelsThromboembolic eventsVein thrombosisCancer patientsHigh riskExact testSingle-center case seriesBivariate analysisYale-New Haven HospitalBenefits of anticoagulationInitial cancer stagingRoutine cancer surveillancePortal vein thrombosisHistory of malignancySingle-center reportsΧ2 testAdditional prospective studiesDirect tumor invasionPatterns 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 characteristics