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 ResearchMeSH KeywordsHospital MortalityHumansLeukemia, Myeloid, AcuteLeukemia, Promyelocytic, AcuteMiddle AgedOdds RatioPrognosisUnited StatesConceptsAcute 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 unit
2015
The SPEED (sepsis patient evaluation in the emergency department) score
Bewersdorf J, Hautmann O, Kofink D, Khalil A, Abidin I, Loch A. The SPEED (sepsis patient evaluation in the emergency department) score. European Journal Of Emergency Medicine 2015, 24: 170-175. PMID: 26524675, PMCID: PMC5417572, DOI: 10.1097/mej.0000000000000344.Peer-Reviewed Original ResearchConceptsSeptic patientsEmergency Department Sepsis scoreSevere inflammatory response syndromeScoring systemImmune-suppressed stateMortality rateInflammatory response syndromeArea under the curveStratify mortality riskReceiver operating characteristic curveHospital mortality rateSystolic blood pressureEmergency departmentMortality riskAdmission diagnosisPrognostic factorsResponse syndromePrimary outcomeSepsis scoreLaboratory valuesSource of infectionPatient characteristicsStudy populationSpeed scoresBlood pressure