2025
Characteristics of injury deaths among homeless and non-homeless US veterans (2017–2021)
Beydoun H, Szymkowiak D, Ng T, Tsai J. Characteristics of injury deaths among homeless and non-homeless US veterans (2017–2021). Injury Prevention 2025, ip-2024-045366. PMID: 39870508, DOI: 10.1136/ip-2024-045366.Peer-Reviewed Original ResearchInjury deathsVeterans AffairsHomeless statusUS Department of Veterans AffairsDepartment of Veterans AffairsVA Corporate Data WarehouseVA healthcare servicesInjury death ratesAssociated with future riskInjury prevention effortsMortality Data RepositoryInjury-related risksMental health characteristicsCorporate Data WarehouseRisk of deathHealth characteristicsVA healthcareEstimate HRsHealthcare servicesRetrospective cohort studyHomeless veteransUS veteransInjury typePrevention effortsCox regression modelsRacial/Ethnic Associations with Morbidity and Mortality in Adults with Acute Traumatic Cervical Spinal Cord Injury.
Elsamadicy A, Belkasim S, Serrato P, Sadeghzadeh S, Ghanekar S, Khalid S, Lo S, Sciubba D. Racial/Ethnic Associations with Morbidity and Mortality in Adults with Acute Traumatic Cervical Spinal Cord Injury. Spine 2025 PMID: 39835366, DOI: 10.1097/brs.0000000000005260.Peer-Reviewed Original ResearchNon-Hispanic blacksCervical spinal cord injuryNon-Hispanic whitesIn-hospital mortalityNon-routine dischargeSpinal cord injuryRacial disparitiesDecreased oddsIncreased oddsAcute CSCI patientsOdds of in-hospital mortalityAcute traumatic cervical spinal cord injuryCord injuryAcute cervical spinal cord injuryTraumatic cervical spinal cord injuryAssociation of raceAdverse eventsOdds of adverse eventsMultivariate logistic regressionCSCI patientsHispanic/Latino cohortIndependent predictor of adverse eventsInjury typeAssociated with adverse outcomesHispanic/LatinoImpact of patient age on morbidity and mortality in adults with acute traumatic cervical spinal cord injury: An ACS trauma quality programs database study
Elsamadicy A, Serrato P, Belkasim S, Ghanekar S, Khalid S, Lo S, Sciubba D. Impact of patient age on morbidity and mortality in adults with acute traumatic cervical spinal cord injury: An ACS trauma quality programs database study. Clinical Neurology And Neurosurgery 2025, 249: 108740. PMID: 39813756, DOI: 10.1016/j.clineuro.2025.108740.Peer-Reviewed Original ResearchConceptsIn-hospital mortalityAcute CSCI patientsLength of stayCSCI patientsTreatment modalitiesCervical SCIAcute traumatic cervical spinal cord injuryTraumatic cervical spinal cord injuryAssociated with increased morbidityImpact of patient ageAcute cervical SCICervical spinal cord injuryRetrospective cohort studyMultivariate logistic regressionPredictors of AEYears of ageSpinal cord injuryCervicothoracic fusionAssociated with AECervical fusionPatient ageIndependent predictorsInjury typePatient demographicsProgram database
2024
A Substantial Increase in Injuries and Hospitalizations Associated with Playing Pickleball from 2020 to 2022: A National Database Study
Cheng R, Moran J, Kim B, Yuan M, O’Leary C, Wang C, Dines J, Katt B, Jimenez A. A Substantial Increase in Injuries and Hospitalizations Associated with Playing Pickleball from 2020 to 2022: A National Database Study. Arthroscopy Sports Medicine And Rehabilitation 2024, 101067. DOI: 10.1016/j.asmr.2024.101067.Peer-Reviewed Original ResearchNational Electronic Injury Surveillance SystemU.S. emergency departmentsEmergency departmentHospital admissionNEISS databaseElectronic Injury Surveillance SystemInjury Surveillance SystemEmergency department visitsIncreased riskTime of injuryNational database studyDepartment visitsInjury typeYears of ageMultivariate analysisSurveillance systemHospitalDatabase studyPlaying pickleballAdmissionDepartmentCategorize injuriesSite of injuryRiskUnited StatesEpidemiology and patterns of gymnastics-related head & neck trauma injuries: A NEISS database study
Abdou H, Wilkins S, Sheth A, Salehi P, Lee Y. Epidemiology and patterns of gymnastics-related head & neck trauma injuries: A NEISS database study. The American Journal Of Emergency Medicine 2024, 80: 87-90. PMID: 38520802, DOI: 10.1016/j.ajem.2024.03.012.Peer-Reviewed Original ResearchNEISS databaseHead and neck fracturesBivariate chi-square analysesTrauma injuriesCross-sectional analysisInjury preventionInjury demographicsED visitsCervical spineChi-square analysisInjury typeNeck fracturesNational databaseNarrative descriptionAge groupsDatabase studyRacial groupsTraumatic injuryNEISSFracture locationDental injuriesFacial injuriesEpidemiologyInjuryDatabaseSoft tissue injury events associated with neural integrity monitoring endotracheal tubes: A MAUDE database analysis
Salib A, Melero Pardo A, Lerner M. Soft tissue injury events associated with neural integrity monitoring endotracheal tubes: A MAUDE database analysis. American Journal Of Otolaryngology 2024, 45: 104233. PMID: 38417263, DOI: 10.1016/j.amjoto.2024.104233.Peer-Reviewed Original ResearchNeural integrity monitorSoft tissue injuriesAdverse eventsEndotracheal tubeTissue injuryRisk of nerve injuryDevice-related adverse eventsReports of adverse eventsTissue injury eventsSurgical decision-makingFood and Drug AdministrationRecurrent laryngeal nerveInjury typeProcess of intubationInjury eventsPatient injuryStandard endotracheal tubeNeck surgeryIncreased technical skillNerve injuryVocal fold paralysisSurgical interventionIntraoperative monitoringSuture repairLaryngeal nerve
2023
Trends in Head and Neck Injuries Related to Electric Versus Pedal Bicycle Use in the United States
Williams L, Kafle S, Lee Y. Trends in Head and Neck Injuries Related to Electric Versus Pedal Bicycle Use in the United States. The Laryngoscope 2023, 134: 2734-2740. PMID: 38053413, DOI: 10.1002/lary.31213.Peer-Reviewed Original ResearchNational Electronic Injury Surveillance SystemInjury patternsNeck injuriesNeck traumaHead injuryHelmet useElectronic Injury Surveillance SystemInjury Surveillance SystemIncidence of headGreater injury severityEffect sizeChi-squared analysisPatient demographicsHospital admissionInjury locationInjury typeAdmission ratesInjury severityCramer’s V valueInjuryAge groupsBicycle groupUnited StatesIncidenceTraumaOrthopaedic Injury Patterns Related to Ice Skating, Inline Skating, and Roller Skating: A 20-Year Epidemiologic Analysis
Dhodapkar M, Halperin S, Gardner E, Grauer J. Orthopaedic Injury Patterns Related to Ice Skating, Inline Skating, and Roller Skating: A 20-Year Epidemiologic Analysis. Orthopaedic Journal Of Sports Medicine 2023, 11: 23259671231198208. PMID: 37736602, PMCID: PMC10510356, DOI: 10.1177/23259671231198208.Peer-Reviewed Original ResearchInline skatingInjury patternsRoller skatingHead/face/neckNational Electronic Injury Surveillance SystemConsumer product-related injuriesElectronic Injury Surveillance SystemInjuries/fracturesOrthopaedic injury patternsDescriptive epidemiology studyYear of injuryCommon injury typeFace/neckInjury Surveillance SystemLower extremity fracturesType of injuryMajority of fracturesProduct-related injuriesElbow/wristIce skatingPatient demographicsExtremity fracturesEmergency departmentInjury typeUpper extremityImaging Findings on Head Computed Tomography Scans in Victims of Intimate Partner Violence
Watane G, Tang A, Thomas R, Park H, Gujrathi R, Gosangi B, Khurana B. Imaging Findings on Head Computed Tomography Scans in Victims of Intimate Partner Violence. Journal Of Computer Assisted Tomography 2023, 47: 307-314. PMID: 36790916, DOI: 10.1097/rct.0000000000001427.Peer-Reviewed Original ResearchConceptsSoft tissue injuriesHead CTInjury visitsIntimate partner violenceTissue injurySubsequent injuryHead computed tomography (CT) scanLeft-sided injuriesInstitutional review board-approved retrospective analysisTime of injurySoft-tissue swellingComputed tomography scanConcomitant injuriesBilateral injuryRadiological findingsImaging findingsStudy cohortSubdural hematomaUnique patientsInjury patternsMean ageCommon manifestationHead injuryInjury typePrior injury
2022
Imaging patterns of thoracic injuries in survivors of intimate partner violence (IPV)
Gosangi B, Wong A, Gujrathi R, Park H, Thomas R, Lewis-O’Connor A, Stoklosa H, Khurana B. Imaging patterns of thoracic injuries in survivors of intimate partner violence (IPV). Emergency Radiology 2022, 30: 71-84. PMID: 36418488, PMCID: PMC9684831, DOI: 10.1007/s10140-022-02097-3.Peer-Reviewed Original ResearchConceptsThird of patientsThoracic injuriesConcomitant injuriesRib fracturesIntimate partner violenceTissue injuryAnterior rib fracturesCommon injury typeRetrospective radiological reviewSoft tissue injuriesDeep tissue injurySuperficial soft-tissue injuryLung contusionRadiological reviewMedian ageVertebral fracturesAcromioclavicular dislocationCommon injuriesInjury typePartner violenceSelf-reported intimate partner violencePatientsDemographic dataInjuryPrevention programsInjury-Related Pediatric Emergency Department Visits in the First Year of COVID-19.
Wells J, Rodean J, Cook L, Sills M, Neuman M, Kornblith A, Jain S, Hirsch A, Goyal M, Fleegler E, DeLaroche A, Aronson P, Leonard J. Injury-Related Pediatric Emergency Department Visits in the First Year of COVID-19. Pediatrics 2022, 150 PMID: 35836331, DOI: 10.1542/peds.2021-054545.Peer-Reviewed Original ResearchConceptsInjury-related visitsInjury-related ED visitsHospital emergency departmentEmergency departmentED visitsSARS-CoV-2 pandemic periodAcute respiratory syndrome coronavirus 2 pandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemicChildren's hospital emergency departmentPediatric Health Information SystemUnited States children's hospitalsPrimary discharge diagnosisMechanism of injurySprains/strainsPediatric emergency departmentCoronavirus 2 pandemicCross-sectional studySARS-CoV-2 pandemicFirst yearPatient characteristicsChildren's HospitalDischarge diagnosisInjury patternsInjury typeAdministrative databases
2020
Orthopaedic Injuries Associated With Cell Phone Use Resulting in Emergency Department Visits: A 20-Year Analysis
Moore HG, Halperin SJ, Berson ER, Burroughs PJ, Paskhover B, Grauer JN. Orthopaedic Injuries Associated With Cell Phone Use Resulting in Emergency Department Visits: A 20-Year Analysis. Journal Of The American Academy Of Orthopaedic Surgeons 2020, 29: 571-579. PMID: 32947349, DOI: 10.5435/jaaos-d-20-00639.Peer-Reviewed Original ResearchConceptsOrthopedic injuriesED visitsAge groupsElectronic Injury Surveillance SystemSprains/strainsInjury Surveillance SystemStandard deviation ageProportion of injuriesEmergency Department DatabasesType of injuryPublic health educationDeviation ageEmergency departmentInjury typeDepartment databaseSuch injuriesInclusion criteriaAnatomic locationHealth educationInjuryCell phone useMarked increaseCommon typeBody partsPhone use
2019
Pediatric Hand and Upper Extremity Injuries Presenting to Emergency Departments in the United States: Epidemiology and Health Care–Associated Costs
Lee A, Colen DL, Fox JP, Chang B, Lin IC. Pediatric Hand and Upper Extremity Injuries Presenting to Emergency Departments in the United States: Epidemiology and Health Care–Associated Costs. Hand 2019, 16: 519-527. PMID: 31441332, PMCID: PMC8283104, DOI: 10.1177/1558944719866884.Peer-Reviewed Original ResearchConceptsUpper extremity injuriesEmergency departmentExtremity injuriesED encountersPrimary diagnosisUpper extremityNational Emergency Department SampleEmergency department chargesTrauma-related visitsCommon injury typeUS emergency departmentsEmergency Department SampleCommon pediatric conditionsVolume of visitsType of injuryUS health care systemHealth care systemPediatric patientsPrimary outcomeTrauma patientsInjury typeTrauma subgroupsPediatric conditionsPediatric handYearly visitsNoninvasive diagnosis of recurrent autoimmune type 1 diabetes after islet cell transplantation
Korutla L, Rickels MR, Hu RW, Freas A, Reddy S, Habertheuer A, Harmon J, Korutla V, Ram C, Naji A, Vallabhajosyula P. Noninvasive diagnosis of recurrent autoimmune type 1 diabetes after islet cell transplantation. American Journal Of Transplantation 2019, 19: 1852-1858. PMID: 30801971, PMCID: PMC7043773, DOI: 10.1111/ajt.15322.Peer-Reviewed Original ResearchConceptsIslet cell transplantationAutoimmune type 1 diabetesType 1 diabetesCell transplantationT1D autoimmunityNoninvasive diagnosisPancreatic β-cell injuryGlutamic acid decarboxylase 65Time-matched analysisΒ-cell injuryTransplanted β-cellsHyperglycemia onsetIslet injuryRecurrent autoimmunityHypoglycemic unawarenessTime-specific increaseIslet autoantigensCurative therapyT1D patientsImmunologic rejectionExogenous insulinInjury typeControl subjectsIslet transplantationDonor islets
2016
Conscious status predicts mortality among patients with isolated traumatic brain injury in administrative data
Alsulaim H, Smart B, Asemota A, Haring R, Canner J, Efron D, Haut E, Schneider E. Conscious status predicts mortality among patients with isolated traumatic brain injury in administrative data. The American Journal Of Surgery 2016, 214: 207-210. PMID: 27663651, DOI: 10.1016/j.amjsurg.2016.07.012.Peer-Reviewed Original ResearchConceptsSevere TBIInjury severityMortality predictionNationwide Emergency Department SampleAdministrative dataEmergency Department SampleTraumatic brain injuryPrevention guidelinesInjury typeBrain injuryUnivariate analysisBrief lossInternational ClassificationOutcome studiesPhysiologic factorsPatientsConscious statusDisease controlLogistic regressionMortalityTBIAdministrative datasetsAnatomical measuresSimilar differencesMeeting CentersRural risk: Geographic disparities in trauma mortality
Jarman MP, Castillo RC, Carlini AR, Kodadek LM, Haider AH. Rural risk: Geographic disparities in trauma mortality. Surgery 2016, 160: 1551-1559. PMID: 27506860, PMCID: PMC5118091, DOI: 10.1016/j.surg.2016.06.020.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolEmergency Service, HospitalFemaleHealth Services AccessibilityHealthcare DisparitiesHumansInfantInfant, NewbornInjury Severity ScoreLogistic ModelsMaleMiddle AgedRetrospective StudiesRural Health ServicesUnited StatesWounds and InjuriesYoung AdultConceptsOdds of deathTraumatic injuryNonrural residentsInjury mortalityNationwide Emergency Department SampleMultiple logistic regression analysisTrauma system organizationInjury Severity ScoreEmergency Department SampleTrauma center designationLogistic regression analysisRural residentsCensus regionNontrauma centersTrauma mortalityTrauma designationCenter designationInjury typeSeverity scoreUS census regionPrehospital careLevel IInjury severityInjuryInjury outcomes
2015
Ocular injury in the United States: Emergency department visits from 2006–2011
Haring R, Canner J, Haider A, Schneider E. Ocular injury in the United States: Emergency department visits from 2006–2011. Injury 2015, 47: 104-108. PMID: 26275512, DOI: 10.1016/j.injury.2015.07.020.Peer-Reviewed Original ResearchConceptsOcular injuriesOcular traumaPayer statusMultiple injuriesEmergency departmentInpatient statusHigher oddsNationwide Emergency Department SampleMajority of patientsMechanism of injuryEmergency Department SampleOdds of admissionType of injuryDifferent injury typesLogistic regression modelsED visitsOcular complaintsPatient demographicsHospital admissionMale sexMean ageSecondary diagnosisInpatient admissionsPrimary diagnosisInjury type
2013
Increased risk of pneumonia among ventilated patients with traumatic brain injury: every day counts!
Hui X, Haider A, Hashmi Z, Rushing A, Dhiman N, Scott V, Selvarajah S, Haut E, Efron D, Schneider E. Increased risk of pneumonia among ventilated patients with traumatic brain injury: every day counts! Journal Of Surgical Research 2013, 184: 438-443. PMID: 23816243, DOI: 10.1016/j.jss.2013.05.072.Peer-Reviewed Original ResearchConceptsTraumatic brain injuryRisk of pneumoniaMechanical ventilationCause pneumoniaAIS scoreBrain injuryGlasgow Coma Scale motor scoreNational Trauma Data Bank 2007Days of MVICDMAP-90 softwareDevelopment of pneumoniaInjury Scale scoreScale motor scoreRisk of VAPApproximate relative riskVentilator independenceComorbidity scoreHospital lengthNeurologic impairmentMotor scoresVentilated patientsInjury factorsInsurance statusInjury typePneumonia cases
2012
Should the IDC-9 Trauma Mortality Prediction Model become the new paradigm for benchmarking trauma outcomes?
Haider A, Villegas C, Saleem T, Efron D, Stevens K, Oyetunji T, Cornwell E, Bowman S, Haack S, Baker S, Schneider E. Should the IDC-9 Trauma Mortality Prediction Model become the new paradigm for benchmarking trauma outcomes? Journal Of Trauma And Acute Care Surgery 2012, 72: 1695-1701. PMID: 22695443, DOI: 10.1097/ta.0b013e318256a010.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBenchmarkingCohort StudiesDatabases, FactualFemaleHospital MortalityHumansInternational Classification of DiseasesMaleMiddle AgedModels, StatisticalPredictive Value of TestsRetrospective StudiesSensitivity and SpecificityTrauma Severity IndicesTreatment OutcomeUnited StatesWounds and InjuriesYoung AdultConceptsInjury Severity ScoreNew ISSMortality prediction modelTrauma Mortality Prediction ModelTrauma outcomesInjury typeInjury severityNational Trauma Data BankNew Injury Severity ScoreInjury severity indicesMortality prediction abilityTrauma Data BankTrauma registry dataCrude mortality rateReceiver operator characteristic curveDRG International ClassificationOperator characteristic curveHospital mortalitySeverity scoreSubgroup analysisRegistry dataRetrospective analysisOutcome measuresPrognostic studiesInternational Classification
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