2023
Machine learning to develop a predictive model of pressure injury in persons with spinal cord injury
Luther S, Thomason S, Sabharwal S, Finch D, McCart J, Toyinbo P, Bouayad L, Lapcevic W, Hahm B, Hauser R, Matheny M, Powell-Cope G. Machine learning to develop a predictive model of pressure injury in persons with spinal cord injury. Spinal Cord 2023, 61: 513-520. PMID: 37598263, DOI: 10.1038/s41393-023-00924-z.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesHumansMachine LearningPressure UlcerRetrospective StudiesSpinal Cord DiseasesSpinal Cord InjuriesConceptsPressure injuriesAmerican Spinal Cord Injury Association Impairment ScaleSCI/D CentersSpinal cord injury/diseaseReceiver-operating curve analysisNew pressure injuryModifiable risk factorsElectronic health record dataSCI/DSpinal cord injuryHealth record dataInjury/diseaseTwo-step logistic regressionLogistic regression modelsCohort studyRegression modelsStudy designACord injurySevere gradesRisk factorsImpairment ScaleHigh riskClinical implicationsTotal daysAnnual examAssociations between ABO non‐identical platelet transfusions and patient outcomes—A multicenter retrospective analysis
Bougie D, Reese S, Birch R, Bookwalter D, Mitchell P, Roh D, Kreuziger L, Cable R, Goel R, Gottschall J, Hauser R, Hendrickson J, Hod E, Josephson C, Kahn S, Kleinman S, Mast A, Ness P, Roubinian N, Sloan S, Study‐IV‐Pediatric F. Associations between ABO non‐identical platelet transfusions and patient outcomes—A multicenter retrospective analysis. Transfusion 2023, 63: 960-972. PMID: 36994786, PMCID: PMC10175171, DOI: 10.1111/trf.17319.Peer-Reviewed Original ResearchMeSH KeywordsABO Blood-Group SystemBlood Group IncompatibilityBlood PlateletsHumansPlatelet TransfusionRetrospective StudiesTransfusion ReactionConceptsPlatelet transfusionsHazard ratioPatient outcomesMulticenter retrospective analysisPlatelet transfusion requirementsGroup O recipientsRecipient's blood groupRisk of mortalitySpecific patient populationsBlood group ARecipient EpidemiologyTransfusion requirementsB recipientsOverall cohortProspective studyO recipientsPatient populationRetrospective analysisPlatelet dosesGroup ATransfusionABO antigensABO groupPatient exposureSignificant associationTesting and Case Rates of Gonorrhea, Chlamydia, Syphilis, and HIV among People with Substance Use Disorders in the Veterans Health Administration
Villamagna A, Beste L, Borgerding J, Lowy E, Hauser R, Ross D, Maier M. Testing and Case Rates of Gonorrhea, Chlamydia, Syphilis, and HIV among People with Substance Use Disorders in the Veterans Health Administration. Journal Of Addiction Medicine 2023, 17: 387-393. PMID: 37579093, DOI: 10.1097/adm.0000000000001134.Peer-Reviewed Original ResearchMeSH KeywordsChlamydiaGonorrheaHIV InfectionsHumansRetrospective StudiesSexually Transmitted DiseasesSubstance-Related DisordersSyphilisVeterans HealthConceptsSubstance use disordersVeterans Health AdministrationMental health diagnosesUse disordersTesting ratesCase ratesTest positivityHealth AdministrationSUD groupSingle substance use disorderVeterans Health Administration patientsMultiple substance use disordersStimulant useHealth diagnosisHIV test positivityInfections (STI) testing ratesNational retrospective analysisHigh STI ratesLow testing ratesStimulant use disorderAlcohol use disorderInfection testingNational cohortSTI ratesRetrospective analysis
2022
Gonorrhea and Chlamydia Testing and Case Rates Among Women Veterans in the Veterans Health Administration
Keddem S, Maier M, Gardella C, Borgerding J, Lowy E, Chartier M, Haskell S, Hauser RG, Beste LA. Gonorrhea and Chlamydia Testing and Case Rates Among Women Veterans in the Veterans Health Administration. Journal Of General Internal Medicine 2022, 37: 706-713. PMID: 36042092, PMCID: PMC9481769, DOI: 10.1007/s11606-022-07578-2.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationChlamydia testingVHA careWomen veteransAge 25Case ratesMilitary sexual traumaHealth AdministrationInfection rateCorrelates of testingIncidence of chlamydiaRetrospective cohort studyCervical cancer screeningEvidence-based guidelinesHealth system factorsIncidence of gonorrhoeaMental health diagnosesLow testing ratesSexual traumaSystem-level interventionsHigher infection rateEffective diagnostic testCohort studyPatient characteristicsResultsAmong womenHuman herpesvirus 8-negative effusion-based large B-cell lymphoma: a distinct entity with unique clinicopathologic characteristics
Gisriel SD, Yuan J, Braunberger RC, Maracaja DLV, Chen X, Wu X, McCracken J, Chen M, Xie Y, Brown LE, Li P, Zhou Y, Sethi T, McHenry A, Hauser RG, Paulson N, Tang H, Hsi ED, Wang E, Zhang QY, Young KH, Xu ML, Pan Z. Human herpesvirus 8-negative effusion-based large B-cell lymphoma: a distinct entity with unique clinicopathologic characteristics. Modern Pathology 2022, 35: 1411-1422. PMID: 35562413, PMCID: PMC9926946, DOI: 10.1038/s41379-022-01091-x.Peer-Reviewed Original ResearchConceptsLarge B-cell lymphomaDistinct clinicopathologic characteristicsMedian overall survivalB-cell lymphomaOverall survivalClinicopathologic characteristicsPrimary effusion lymphomaHHV8 infectionLymphomatous effusionsNon-germinal center B-cell subtypeLonger median overall survivalUnique clinicopathologic characteristicsFavorable prognostic factorEpstein-Barr virusSeparate diagnostic criteriaHuman herpesvirus 8B-cell subtypeMulti-institutional studyNon-Japanese casesDiagnostic uniformityImmunocompetent patientsPericardial effusionPericardial involvementSelect patientsChemotherapy administration
2021
Transfusion practices for pediatric oncology and hematopoietic stem cell transplantation patients: Data from the National Heart Lung and Blood Institute Recipient Epidemiology and Donor Evaluation Study‐III (REDS‐III)
Goel R, Nellis ME, Karam O, Hanson SJ, Tormey CA, Patel RM, Birch R, Sachais BS, Sola‐Visner M, Hauser RG, Luban NLC, Gottschall J, Josephson CD, Hendrickson JE, Karafin MS, Study‐IV‐Pediatric F. Transfusion practices for pediatric oncology and hematopoietic stem cell transplantation patients: Data from the National Heart Lung and Blood Institute Recipient Epidemiology and Donor Evaluation Study‐III (REDS‐III). Transfusion 2021, 61: 2589-2600. PMID: 34455598, DOI: 10.1111/trf.16626.Peer-Reviewed Original ResearchConceptsInternational normalized ratioBlood Institute Recipient EpidemiologyDonor Evaluation Study-IIINational Heart LungTransfusion practicePediatric oncologyRecipient EpidemiologyHSCT patientsPlasma transfusionRed blood cellsPlatelet countHeart LungHematopoietic stem cell transplantation patientsHematopoietic stem cell transplant patientsMedian international normalized ratioStem cell transplant patientsStem cell transplantation patientsLower INR valuesPre-transfusion HbMedian platelet countMulticenter retrospective studyCell transplant patientsCell transplantation patientsStudy IIIAcute myeloid leukemiaTransfusion Practices in Pediatric Cardiac Surgery Requiring Cardiopulmonary Bypass: A Secondary Analysis of a Clinical Database
Hanson SJ, Karam O, Birch R, Goel R, Patel RM, Sola-Visner M, Sachais BS, Hauser RG, Luban NLC, Gottschall J, Josephson CD, Hendrickson JE, Karafin MS, Nellis ME, Lung A. Transfusion Practices in Pediatric Cardiac Surgery Requiring Cardiopulmonary Bypass: A Secondary Analysis of a Clinical Database. Pediatric Critical Care Medicine 2021, 22: 978-987. PMID: 34261944, PMCID: PMC8570986, DOI: 10.1097/pcc.0000000000002805.Peer-Reviewed Original ResearchMeSH KeywordsBlood Component TransfusionBlood TransfusionCardiac Surgical ProceduresCardiopulmonary BypassChildHumansPlatelet TransfusionRetrospective StudiesConceptsCongenital heart diseaseBiventricular surgeryCardiopulmonary bypass surgeryHeart diseaseMedian internationalBypass surgeryMembrane oxygenationPlatelet countBlood componentsVentricular surgeryHemoglobin valuesBlood Institute Recipient EpidemiologyDonor Evaluation Study-IIIHigher median platelet countNormal international normalized ratioIntraoperative platelet transfusionLimited physiologic reserveMultiple blood productsPretransfusion platelet countU.S. hospitalsMedian platelet countBlood component transfusionBlood component usageExtracorporeal membrane oxygenationInternational normalized ratioA Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data
Hauser RG, Esserman D, Beste LA, Ong SY, Colomb DG, Bhargava A, Wadia R, Rose MG. A Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data. American Journal Of Clinical Pathology 2021, 156: 1142-1148. PMID: 34184028, DOI: 10.1093/ajcp/aqab086.Peer-Reviewed Original ResearchConceptsBlood cell countChronic myelogenous leukemiaCell countMyelogenous leukemiaRetrospective electronic health record dataDiagnosis of CMLLarge integrated health care systemDifferential blood cell countsIntegrated health care systemUsual medical careTime of diagnosisElectronic health record dataClonal stem cell disorderHealth record dataStem cell disordersHealth care systemDisease courseDiagnostic workupAdult leukemiaCell disordersMedical careDiagnostic testingDiagnostic testsBlood cellsCare systemTransfusion practices in a large cohort of hospitalized children
Nellis ME, Goel R, Hendrickson JE, Birch R, Patel RM, Karafin MS, Hanson SJ, Sachais BS, Hauser RG, Luban NLC, Gottschall J, Sola‐Visner M, Josephson CD, Karam O, Study‐IV‐Pediatric F. Transfusion practices in a large cohort of hospitalized children. Transfusion 2021, 61: 2042-2053. PMID: 33973660, DOI: 10.1111/trf.16443.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentBlood Component TransfusionBlood TransfusionChildChild, PreschoolDatasets as TopicDiagnosis-Related GroupsFemaleHospital MortalityHospitals, CommunityHospitals, TeachingHumansInfantInfant, NewbornInpatientsMaleProcedures and Techniques UtilizationRetrospective StudiesUnited StatesConceptsRBC transfusionCardiopulmonary bypassTransfusion practiceHospitalized childrenInpatient encountersBlood componentsLarge cohortHospital settingBlood Institute Recipient EpidemiologyDonor Evaluation Study-IIIPatient blood management initiativesDiagnostic categoriesFrequency of transfusionInstitutional transfusion guidelinesCohort of patientsInternational normalized ratioPercent of encountersNational Heart LungPediatric hospital settingYears of ageSubset of childrenRecipient EpidemiologyTransfusion guidelinesRed blood cellsEntire cohort
2016
Incidence of transfusion reactions: a multicenter study utilizing systematic active surveillance and expert adjudication
Hendrickson JE, Roubinian NH, Chowdhury D, Brambilla D, Murphy EL, Wu Y, Ness PM, Gehrie EA, Snyder EL, Hauser R, Gottschall JL, Kleinman S, Kakaiya R, Strauss RG, for the National Heart L. Incidence of transfusion reactions: a multicenter study utilizing systematic active surveillance and expert adjudication. Transfusion 2016, 56: 2587-2596. PMID: 27460200, PMCID: PMC5559198, DOI: 10.1111/trf.13730.Peer-Reviewed Original ResearchMeSH KeywordsBlood SafetyHumansIncidenceRetrospective StudiesRisk ManagementTertiary Care CentersTransfusion MedicineTransfusion ReactionConceptsTertiary care hospitalTransfusion episodesTransfusion reactionsSerious reactionsCare hospitalMulticenter studyActive surveillancePossible transfusion-related acute lung injuryTransfusion-related acute lung injuryTransfusion servicesTransfusion-associated circulatory overloadAcademic tertiary care hospitalTransfusion medicine expertsAcute lung injuryClinical research nursesRetrospective record reviewPassive reporting systemInpatient transfusionCirculatory overloadLung injuryResearch nursesRecord reviewHypotensive reactionsBlood productsExpert adjudication