2016
Epidemiology of Sports-Related Eye Injuries in the United States
Haring R, Sheffield I, Canner J, Schneider E. Epidemiology of Sports-Related Eye Injuries in the United States. JAMA Ophthalmology 2016, 134: 1382-1390. PMID: 27812702, DOI: 10.1001/jamaophthalmol.2016.4253.Peer-Reviewed Original ResearchConceptsSports-related ocular traumaOcular traumaEye injuriesPrimary diagnosisSports-related eye injuriesSports-related ocular injuriesNationwide Emergency Department SampleEmergency Department BurdenEpidemiology of SportOdds of presentationFootball-related injuriesMechanism of injuryLong-term outcomesEmergency Department SampleCross-sectional studyType of injuryAir gun injuriesED visitsOcular injuriesAnnual incidenceLifelong sequelaeMAIN OUTCOMEGun injuriesImpaired visionInjuryEmergency 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 35
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 typeExplaining 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 SampleTraumatic 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
The 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
2013
Predictors of Sepsis in Moderately Severely Injured Patients: An Analysis of the National Trauma Data Bank
Kisat M, Villegas C, Onguti S, Zafar S, Latif A, Efron D, Haut E, Schneider E, Lipsett P, Zafar H, Haider A. Predictors of Sepsis in Moderately Severely Injured Patients: An Analysis of the National Trauma Data Bank. Surgical Infections 2013, 14: 62-68. PMID: 23461696, PMCID: PMC3601717, DOI: 10.1089/sur.2012.009.Peer-Reviewed Original ResearchMeSH KeywordsAccidental FallsAccidents, TrafficAdolescentAdultAgedAged, 80 and overBlack or African AmericanDatabases, FactualFemaleHumansInjury Severity ScoreLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioRetrospective StudiesRisk FactorsSepsisSocioeconomic FactorsUnited StatesWounds and InjuriesConceptsPost-traumatic sepsisNational Trauma Data BankInjury Severity ScoreTrauma Data BankClinical characteristicsPredictor of sepsisLife-threatening complicationsEmergency department presentationsMechanism of injuryMultivariable logistic regressionAfrican American raceAssociated mortality rateAssociation of sepsisYears of ageMotor vehicle crashesHospital deathPatient groupStudy criteriaInjury factorsSeverity scoreMale genderRisk factorsRetrospective analysisSepsisInjury mechanism
2011
Predictors of Positive Head CT Scan and Neurosurgical Procedures After Minor Head Trauma
Kisat M, Zafar S, Latif A, Villegas C, Efron D, Stevens K, Haut E, Schneider E, Zafar H, Haider A. Predictors of Positive Head CT Scan and Neurosurgical Procedures After Minor Head Trauma. Journal Of Surgical Research 2011, 173: 31-37. PMID: 21872271, PMCID: PMC3684145, DOI: 10.1016/j.jss.2011.04.059.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overBlack or African AmericanCraniocerebral TraumaFemaleHeadHumansLogistic ModelsMaleMiddle AgedNeurosurgical ProceduresPredictive Value of TestsRetrospective StudiesSex FactorsTomography, X-Ray ComputedTrauma Severity IndicesTreatment OutcomeWhite PeopleYoung AdultConceptsPositive head CT scanNormal Glasgow Coma ScaleGlasgow Coma ScaleHead CT scanMinor head injuryBlunt head injuryHead injuryCT scanNeurosurgical proceduresInjury characteristicsPositive findingsNational Trauma Data BankInjury-specific characteristicsMinor head traumaMechanism of injuryTrauma Data BankHistory of fallsMultivariate logistic regressionAdult patientsOlder patientsComa ScaleMale patientsPrimary outcomeHead traumaMale gender