2024
Risk 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, 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 modelPatients
2023
Validation of the Molecular International Prognostic Scoring System (IPSS-M) in Patients (Pts) with Myelodysplastic Syndromes/Neoplasms (MDS) Who Underwent Allogenic Stem Cell Transplantation (HSCT)
Kewan T, Bewersdorf J, Blaha O, Stahl M, Al Ali N, DeZern A, Sekeres M, Uy G, Carraway H, Desai P, Griffiths E, Stein E, Brunner A, Amaya M, Zeidner J, Savona M, Stempel J, Chandhok N, Logothetis C, Cochran H, Rose A, Roboz G, Wang E, Rolles B, Harris A, Shallis R, Xie Z, Padron E, Maciejewski J, Sallman D, Della Porta M, Komrokji R, Zeidan A. Validation of the Molecular International Prognostic Scoring System (IPSS-M) in Patients (Pts) with Myelodysplastic Syndromes/Neoplasms (MDS) Who Underwent Allogenic Stem Cell Transplantation (HSCT). Blood 2023, 142: 4980. DOI: 10.1182/blood-2023-186578.Peer-Reviewed Original ResearchOverall survivalHigh-risk groupUnderwent HSCTC-indexRisk groupsHigh riskDonor typeInternational Prognostic Scoring SystemAllogenic stem cell transplantationTime of HSCTMedian overall survivalReduced-intensity conditioningSignificant OS differencePrognostic scoring systemRisk stratification toolTime of diagnosisStem cell transplantationSingle-institution analysisLog-rank testHarrell's C-indexDifferent overall survivalCox proportional hazardsHMA cyclesHaploidentical donorsMaintenance therapyPost Allogeneic Stem Cell Transplant Outcomes Following Response to Hypomethylating Agent Therapy in Myelodysplastic Syndromes Are Predicted By Persistent International Prognostic Scoring System-Molecular Risk
Frumm S, Kim H, Kelkar A, Ho V, Gooptu M, Gibson C, Koreth J, Shapiro R, Romee R, Nikiforow S, Antin J, Soiffer R, Rolles B, Shimony S, Bewersdorf J, Kewan T, Alhajahjeh A, Luskin M, Garcia J, Chen E, Lane A, Wadleigh M, Winer E, Stone R, DeAngelo D, Zeidan A, Lindsley C, Cutler C, Stahl M. Post Allogeneic Stem Cell Transplant Outcomes Following Response to Hypomethylating Agent Therapy in Myelodysplastic Syndromes Are Predicted By Persistent International Prognostic Scoring System-Molecular Risk. Blood 2023, 142: 3618. DOI: 10.1182/blood-2023-185220.Peer-Reviewed Original ResearchHematopoietic stem cell transplantBlood count recoveryPost-HCT outcomesComplete remissionTime of diagnosisMyelodysplastic syndromeOverall survivalHigh riskLower riskAgent therapyCount recoveryMolecular riskInternational Working Group response criteriaShorter median overall survivalResponse criteriaDana-Farber Cancer InstituteHCT comorbidity indexImportant prognostic impactTAC/sirolimusHost disease (GVHD) prophylaxisMedian overall survivalProgression-free survivalStem cell transplantBone marrow biopsyFuture prospective studiesA Simple Prediction Model of Outcomes after Allogeneic Hematopoietic Stem Cell Transplant (HCT) in Myelodysplastic Syndromes Using HCT-Comorbidity Index, Cytogenetic Risk, and Platelet Count
Frumm S, Kim H, Kelkar A, Ho V, Gooptu M, Gibson C, Koreth J, Shapiro R, Romee R, Nikiforow S, Antin J, Soiffer R, Rolles B, Shimony S, Bewersdorf J, Kewan T, Alhajahjeh A, Luskin M, Garcia J, Chen E, Lane A, Wadleigh M, Winer E, Stone R, DeAngelo D, Zeidan A, Lindsley C, Cutler C, Stahl M. A Simple Prediction Model of Outcomes after Allogeneic Hematopoietic Stem Cell Transplant (HCT) in Myelodysplastic Syndromes Using HCT-Comorbidity Index, Cytogenetic Risk, and Platelet Count. Blood 2023, 142: 2246. DOI: 10.1182/blood-2023-185315.Peer-Reviewed Original ResearchHematopoietic stem cell transplantHCT comorbidity indexNon-relapse mortalityPost-HCT outcomesAllogeneic hematopoietic stem cell transplantStem cell transplantMyelodysplastic syndromePlatelet countPre-HCTMultivariable analysisUnivariable analysisRisk scoreHMA cyclesCytogenetic riskCell transplantHigh riskFour-year overall survivalDana-Farber Cancer InstituteSimplified prognostic modelHost disease (GVHD) prophylaxisReduced intensity conditioningNext-generation sequencingHigh-risk scoreRespective risk groupsResource limited settings
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 invasionLeukocytapheresis for patients with acute myeloid leukemia presenting with hyperleukocytosis and leukostasis: a contemporary appraisal of outcomes and benefits
Shallis RM, Stahl M, Bewersdorf JP, Hendrickson JE, Zeidan AM. Leukocytapheresis for patients with acute myeloid leukemia presenting with hyperleukocytosis and leukostasis: a contemporary appraisal of outcomes and benefits. Expert Review Of Hematology 2020, 13: 489-499. PMID: 32248712, DOI: 10.1080/17474086.2020.1751609.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsWhite blood cell countAcute myeloid leukemiaTumor lysis syndromeMyeloid leukemiaPeripheral white blood cell countEvidence-based clinical guidelinesTotal white blood cell countEnd-organ damageRelevant patient outcomesWide practice variationBlood cell countPeripheral myeloblastsLysis syndromeIntravascular coagulationSurvival benefitOrgan damageClinical guidelinesPatient outcomesPractice variationLeukocytapheresisHigh riskCytoreductive strategyCell countHyperleukocytosisCells/L