2016
Emergency department visits for attempted suicide and self harm in the USA: 2006–2013
Canner J, Giuliano K, Selvarajah S, Hammond E, Schneider E. Emergency department visits for attempted suicide and self harm in the USA: 2006–2013. Epidemiology And Psychiatric Sciences 2016, 27: 94-102. PMID: 27852333, PMCID: PMC6999001, DOI: 10.1017/s2045796016000871.Peer-Reviewed Original ResearchConceptsNationwide Emergency Department SampleSelf-inflicted injuryED visitsPopulation-based ratesSuicide attemptsInjury severityNational databaseEmergency department visitsMechanism of injuryEmergency Department SampleAlcohol-related disordersLarge national databasePrevious smaller studiesSubstance-related disordersWilcoxon rank sum testConcurrent mental disordersChi-square testRank sum testDepartment visitsAnnual incidenceEmergency departmentMean ageUS census regionMood disordersAge 35Implementation of the World Health Organization Trauma Care Checklist Program in 11 Centers Across Multiple Economic Strata: Effect on Care Process Measures
Lashoher A, Schneider EB, Juillard C, Stevens K, Colantuoni E, Berry WR, Bloem C, Chadbunchachai W, Dharap S, Dy SM, Dziekan G, Gruen RL, Henry JA, Huwer C, Joshipura M, Kelley E, Krug E, Kumar V, Kyamanywa P, Mefire AC, Musafir M, Nathens AB, Ngendahayo E, Nguyen TS, Roy N, Pronovost PJ, Khan IQ, Razzak JA, Rubiano AM, Turner JA, Varghese M, Zakirova R, Mock C. Implementation of the World Health Organization Trauma Care Checklist Program in 11 Centers Across Multiple Economic Strata: Effect on Care Process Measures. World Journal Of Surgery 2016, 41: 954-962. PMID: 27800590, DOI: 10.1007/s00268-016-3759-8.Peer-Reviewed Original ResearchConceptsTrauma Care ChecklistInjury Severity ScoreCare process measuresPatient ageCare ChecklistProcess measuresPrimary end pointProportion of patientsCohort of patientsChecklist programMultilevel logistic regression modelsLogistic regression modelsPost-intervention comparisonTrauma patientsAbdominal examinationSeverity scoreCare measuresChest auscultationChecklist implementationHigh-income countriesGlobal burdenGreater oddsInjury severityPatientsEnd pointConscious 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 Centers
2015
Socioeconomic correlates of trauma: An analysis of emergency ward patients in Yaoundé, Cameroon
Kacker S, Bishai D, Mballa G, Monono M, Schneider E, Ngamby K, Hyder A, Juillard C. Socioeconomic correlates of trauma: An analysis of emergency ward patients in Yaoundé, Cameroon. Injury 2015, 47: 658-664. PMID: 26763297, DOI: 10.1016/j.injury.2015.12.011.Peer-Reviewed Original ResearchConceptsLowest SES quintileSocioeconomic statusTrauma centerTreatment outcomesInjury severitySevere injuriesSES quintilesWealth scoreEmergency ward patientsLargest trauma hospitalMajor trauma centreCare-seeking behaviorFuture trauma researchSeverity of injuryRoad traffic injuriesHigher socioeconomic statusEffect of SESProspective registryTrauma patientsWard patientsCentral HospitalInjury characteristicsTrauma hospitalEmergency wardTrauma outcomesA modified Kampala trauma score (KTS) effectively predicts mortality in trauma patients
Weeks S, Stevens K, Haider A, Efron D, Haut E, MacKenzie E, Schneider E. A modified Kampala trauma score (KTS) effectively predicts mortality in trauma patients. Injury 2015, 47: 125-129. PMID: 26256783, DOI: 10.1016/j.injury.2015.07.004.Peer-Reviewed Original ResearchConceptsNew Injury Severity ScoreInjury Severity ScoreKampala Trauma ScoreTrauma patientsSeverity scoreTrauma ScorePhysiologic measuresMortality predictionNon-trauma center hospitalsSeverity scoring toolsPre-hospital intubationCenter HospitalInjury scoreAnatomical injuryMortality riskLevel IInjury severityRespiratory ratePhysiologic dataScoring toolOutcome predictionMortalitySignificant predictorsCharacteristic curveSimilar predictive abilityExplaining the Paradoxical Age-based Racial Disparities in Survival After Trauma
Hicks C, Hashmi Z, Hui X, Velopulos C, Efron D, Schneider E, Cooper L, Haut E, Cornwell E, Haider A. Explaining the Paradoxical Age-based Racial Disparities in Survival After Trauma. Annals Of Surgery 2015, 262: 179-183. PMID: 24979610, DOI: 10.1097/sla.0000000000000809.Peer-Reviewed Original ResearchConceptsOlder black patientsYoung black patientsYoung white patientsBlack patientsWhite patientsBlack trauma patientsRacial disparitiesTrauma patientsInjury severityClinical Modification diagnosis codesOlder white patientsPatients 65 yearsOverall injury severityMechanism of injuryNationwide Inpatient SampleHead injury severityOlder patientsIncreased oddsComorbid conditionsSurvival outcomesNinth RevisionInsurance statusAdjusted oddsDiagnosis codesInpatient SampleTrends in incidence and severity of sports-related traumatic brain injury (TBI) in the emergency department, 2006–2011
Haring R, Canner J, Asemota A, George B, Selvarajah S, Haider A, Schneider E. Trends in incidence and severity of sports-related traumatic brain injury (TBI) in the emergency department, 2006–2011. Brain Injury 2015, 29: 989-992. PMID: 25962926, DOI: 10.3109/02699052.2015.1033014.Peer-Reviewed Original ResearchConceptsSports-related traumatic brain injuryTraumatic brain injuryEmergency departmentHospitalization ratesAbbreviated Injury Severity ScoreNationwide Emergency Department SampleInjury Severity ScoreEmergency Department SampleHigh school age groupsAbsolute annual numberSchool age groupED visitsPayer statusInpatient admissionsSeverity scoreBrain injuryMedical attentionInjury severityAge 65Age groupsYoung athletesAge 15Traumatic brain injury in the elderly: morbidity and mortality trends and risk factors
Haring R, Narang K, Canner J, Asemota A, George B, Selvarajah S, Haider A, Schneider E. Traumatic brain injury in the elderly: morbidity and mortality trends and risk factors. Journal Of Surgical Research 2015, 195: 1-9. PMID: 25724764, DOI: 10.1016/j.jss.2015.01.017.Peer-Reviewed Original ResearchConceptsTraumatic brain injuryMechanism of injuryBrain injuryTBI-related deathsTBI-related hospitalizationOdds of deathMultivariable logistic regressionNationwide Inpatient SampleLogistic regression analysisOlder age groupsMore comorbiditiesMale patientsPayer statusTBI patientsInpatient SampleRisk factorsHigher oddsInjury severityPatientsMortality trendsAge groupsInjuryLogistic regressionTBI dataComorbidities
2014
Association Between Race and Age in Survival After Trauma
Hicks C, Hashmi Z, Velopulos C, Efron D, Schneider E, Haut E, Cornwell E, Haider A. Association Between Race and Age in Survival After Trauma. JAMA Surgery 2014, 149: 642-647. PMID: 24871941, PMCID: PMC5995325, DOI: 10.1001/jamasurg.2014.166.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexPatients 65 yearsOlder patientsBlack patientsInjury severityComorbidity indexRacial disparitiesWhite patientsOdds ratioBetter outcomesCharlson Comorbidity Index scoreClinical Modification diagnosis codesLogistic regressionComorbidity Index scoreOlder black patientsOlder white patientsYoung black patientsYoung white patientsMost older patientsIntent of injuryNationwide Inpatient SampleMultivariable logistic regressionUnadjusted odds ratioUnivariable logistic regressionHead injury severityIncreased mortality associated with EMS transport of gunshot wound victims when compared to private vehicle transport
Zafar S, Haider A, Stevens K, Ray-Mazumder N, Kisat M, Schneider E, Chi A, Galvagno S, Cornwell E, Efron D, Haut E. Increased mortality associated with EMS transport of gunshot wound victims when compared to private vehicle transport. Injury 2014, 45: 1320-1326. PMID: 24957424, DOI: 10.1016/j.injury.2014.05.032.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAmbulancesAutomobilesEmergency Medical ServicesFemaleFluid TherapyGravity SuitsHospital MortalityHumansImmobilizationInjury Severity ScoreIntubation, IntratrachealMaleMiddle AgedMonitoring, PhysiologicOutcome and Process Assessment, Health CareRetrospective StudiesTime FactorsTransportation of PatientsTrauma CentersUnited StatesWounds, GunshotConceptsEmergency medical servicesProportion of patientsGSW patientsTrauma centerGunshot woundsNational Trauma Data BankGunshot wound victimsTrauma Data BankIndividual trauma centersMultivariable regression analysisHospital mortalityPatient demographicsUnadjusted mortalityTrauma patientsMultivariable analysisTwofold oddsEMS transportMortality differencesPatientsInjury severityPrivate vehicle transportMortalityWide variationMedical servicesFurther studiesThe Severity of Disparity: Increasing Injury Intensity Accentuates Disparate Outcomes Following Trauma
Losonczy L, Weygandt P, Villegas C, Hall E, Schneider E, Cooper L, Cornwell E, Haut E, Efron D, Haider A. The Severity of Disparity: Increasing Injury Intensity Accentuates Disparate Outcomes Following Trauma. Journal Of Health Care For The Poor And Underserved 2014, 25: 308-320. PMID: 24509028, PMCID: PMC6017993, DOI: 10.1353/hpu.2014.0021.Peer-Reviewed Original ResearchConceptsOdds of deathInjury severityGlasgow Coma Scale motor componentPatients meeting inclusion criteriaNational Trauma Data BankInjury Severity ScoreMechanism of injuryTrauma Data BankMeeting inclusion criteriaInsurance groupsRace/ethnicityHypotensive patientsTrauma mortalityBlack patientsHispanic patientsSeverity scoreUninsured patientsInclusion criteriaPatientsSevere injuriesLogistic regressionInjury intensityInjuryInsurance coverageSeverity
2012
Epidemiology of moderate-to-severe penetrating versus closed traumatic brain injury in the Iraq and Afghanistan wars
Orman J, Geyer D, Jones J, Schneider E, Grafman J, Pugh M, DuBose J. Epidemiology of moderate-to-severe penetrating versus closed traumatic brain injury in the Iraq and Afghanistan wars. Journal Of Trauma And Acute Care Surgery 2012, 73: s496-s502. PMID: 23192076, DOI: 10.1097/ta.0b013e318275473c.Peer-Reviewed Original ResearchMeSH KeywordsAdultAfghan Campaign 2001-Age DistributionBrain InjuriesChi-Square DistributionFemaleHumansIncidenceInjury Severity ScoreIraq War, 2003-2011MaleMass Casualty IncidentsMiddle AgedPrognosisRegistriesRetrospective StudiesSex DistributionStatistics, NonparametricSurvival AnalysisUnited StatesWarfareWounds, NonpenetratingWounds, PenetratingYoung AdultConceptsClosed traumatic brain injuryTraumatic brain injuryBrain injuryInjury severityAbbreviated Injury Scale scoreSevere closed traumatic brain injuryCombat-related traumatic brain injuryJoint Theater Trauma RegistryInjury Scale scoreOverall injury severitySevere penetratingPatients meeting criteriaSevere brain injuryAnatomic injury severityTrauma registry dataMaximum Abbreviated Injury Scale scoreTrauma registrySurgical interventionSurveillance definitionsRegistry dataTBI severityEpidemiologic studiesNeck woundsMeeting criteriaScale scoreBeating the weekend trend: Increased mortality in older adult traumatic brain injury (TBI) patients admitted on weekends
Schneider E, Hirani S, Hambridge H, Haut E, Carlini A, Castillo R, Efron D, Haider A. Beating the weekend trend: Increased mortality in older adult traumatic brain injury (TBI) patients admitted on weekends. Journal Of Surgical Research 2012, 177: 295-300. PMID: 22795343, DOI: 10.1016/j.jss.2012.06.022.Peer-Reviewed Original ResearchConceptsWeekend patientsWeekend admissionInjury severityHead traumaAdult traumatic brain injury patientsTraumatic brain injury patientsOlder adultsICDMAP-90 softwareCharlson comorbidity scoreInjury Scale scoreOdds of mortalityNationwide Inpatient SamplePatients meeting criteriaMedian total chargesBrain injury patientsLength of stayHead injury severityWilcoxon rank sumStudent's t-testHead AISComorbidity scoreLess comorbidityLow comorbidityTrauma admissionsInjury patientsShould 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