2018
The Epidemiology of Pediatric Head Injury Treated Outside of Hospital Emergency Departments
Zogg CK, Haring RS, Xu L, Canner JK, AlSulaim HA, Hashmi ZG, Salim A, Engineer LD, Haider AH, Bell JM, Schneider EB. The Epidemiology of Pediatric Head Injury Treated Outside of Hospital Emergency Departments. Epidemiology 2018, 29: 269-279. PMID: 29240568, PMCID: PMC5937022, DOI: 10.1097/ede.0000000000000791.Peer-Reviewed Original ResearchConceptsInjury-specific factorsPediatric patientsEmergency departmentOutpatient settingHead traumaAmbulatory care useEmergency department visitsEmergency department carePediatric head injuryTrauma-related deathsHospital emergency departmentHead trauma casesMarketScan MedicaidNationwide burdenOutpatient injuriesIndex visitDepartment visitsOutpatient burdenHead injuryCare useOutpatient careIncidence rateOutpatient casesTrauma casesCommercial ClaimsThe “mortality ascent”
Herrera-Escobar JP, Rios-Diaz AJ, Zogg CK, Wolf LL, Harlow A, Schneider EB, Cooper Z, Ordonez CA, Salim A, Haider AH. The “mortality ascent”. Journal Of Trauma And Acute Care Surgery 2018, 84: 139-145. PMID: 28930947, DOI: 10.1097/ta.0000000000001706.Peer-Reviewed Original ResearchConceptsUnstable trauma patientsLevel I TCsLevel II TCsHours postadmissionTrauma patientsLevel ILevel IIMortality riskHospital mortalityLog-binomial regression modelsNational Trauma Data BankComparable mortality riskHospital-level confoundersInjury Severity ScoreSystolic blood pressureAvailable treatment modalitiesTrauma Data BankSpecific risk factorsRisk-adjusted modelsBlood pressureHigher relative mortalityUnstable patientsBurn patientsSeverity scoreTreatment modalities
2017
Variability in Gastrostomy Tube Placement for Intracerebral Hemorrhage Patients at US Hospitals
Hwang DY, George BP, Kelly AG, Schneider EB, Sheth KN, Holloway RG. Variability in Gastrostomy Tube Placement for Intracerebral Hemorrhage Patients at US Hospitals. Journal Of Stroke And Cerebrovascular Diseases 2017, 27: 978-987. PMID: 29221969, DOI: 10.1016/j.jstrokecerebrovasdis.2017.11.001.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCerebral HemorrhageClinical Decision-MakingDatabases, FactualFemaleGastrostomyHealthcare DisparitiesHospitalsHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds RatioPractice Patterns, Physicians'Process Assessment, Health CareRetrospective StudiesTime FactorsUnited StatesYoung AdultConceptsGastrostomy tube placementTube placementGastrostomy tubeICH patientsIntracerebral hemorrhageUS hospitalsMultilevel multivariable regression modelsHospital random effectsNationwide Inpatient SampleIntracerebral hemorrhage patientsMultivariable regression modelsLocal practice patternsMedian odds ratioICH hospitalizationsHospital factorsHospital covariatesRegression modelsHemorrhage patientsICH admissionsInpatient SampleOdds ratioPlacement ratesPractice patternsMedian increasePatients
2016
Race-based differences in duration of stay among universally insured coronary artery bypass graft patients in military versus civilian hospitals
Chowdhury R, Davis WA, Chaudhary MA, Jiang W, Zogg CK, Schoenfeld AJ, Jaklitsch MT, Kaneko T, Learn PA, Haider AH, Schneider EB. Race-based differences in duration of stay among universally insured coronary artery bypass graft patients in military versus civilian hospitals. Surgery 2016, 161: 1090-1099. PMID: 27932028, DOI: 10.1016/j.surg.2016.10.022.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedBlack or African AmericanCohort StudiesConfidence IntervalsCoronary Artery BypassCoronary Artery DiseaseDatabases, FactualFemaleHealthcare DisparitiesHospital MortalityHospitals, MilitaryHospitals, PublicHumansLength of StayMaleMiddle AgedPrognosisRegression AnalysisRisk AssessmentSurvival AnalysisTreatment OutcomeUnited StatesUniversal Health InsuranceWhite PeopleConceptsCoronary artery bypass graftArtery bypass graftCoronary artery bypass graft patientsDuration of stayBypass graft patientsBypass graftRace-based differencesGraft patientsBlack patientsMilitary HospitalCivilian hospitalsHospital-level factorsEligible patientsWhite patientsMale patientsCivilian facilitiesWhite racePatientsStayTRICARE coverageNegative binomial regressionHospitalApparent mitigationGraftGreater durationFrailty predicts risk of life-threatening complications and mortality after pancreatic resections
Augustin T, Burstein M, Schneider E, Morris-Stiff G, Wey J, Chalikonda S, Walsh R. Frailty predicts risk of life-threatening complications and mortality after pancreatic resections. Surgery 2016, 160: 987-996. PMID: 27545992, DOI: 10.1016/j.surg.2016.07.010.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedCause of DeathComorbidityDatabases, FactualFemaleFrail ElderlyHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPancreatectomyPancreatic NeoplasmsPancreaticoduodenectomyPostoperative ComplicationsPredictive Value of TestsRetrospective StudiesRisk AssessmentROC CurveSeverity of Illness IndexSex FactorsSurvival AnalysisTreatment OutcomeConceptsNational Surgical Quality Improvement ProjectSurgical Quality Improvement ProjectGrade 4 complicationsFrailty indexQuality improvement projectGreater body mass indexDistal pancreatectomy patientsModified Frailty IndexOutcomes of pancreatoduodenectomyLow serum albuminLife-threatening complicationsPre-operative optimizationEffect of frailtySelection of patientsBody mass indexDegree of frailtyGreater weight lossImprovement projectIntermediate frailtyNonfrail patientsConsideration of frailtyDistal pancreatectomyFrail patientsOperative riskPancreatectomy patientsPredictors of emergency ventral hernia repair: Targets to improve patient access and guide patient selection for elective repair
Wolf LL, Scott JW, Zogg CK, Havens JM, Schneider EB, Smink DS, Salim A, Haider AH. Predictors of emergency ventral hernia repair: Targets to improve patient access and guide patient selection for elective repair. Surgery 2016, 160: 1379-1391. PMID: 27542434, DOI: 10.1016/j.surg.2016.06.027.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAged, 80 and overConfidence IntervalsDatabases, FactualElective Surgical ProceduresEmergenciesFemaleFollow-Up StudiesHealth Services AccessibilityHernia, VentralHerniorrhaphyHospital MortalityHumansInsurance CoverageLogistic ModelsMaleMiddle AgedOdds RatioPatient SelectionPredictive Value of TestsQuality ImprovementRetrospective StudiesRisk AssessmentSeverity of Illness IndexSex FactorsTime FactorsTreatment OutcomeConceptsVentral hernia repairEmergency ventral hernia repairHospital-level factorsHernia repairIndependent predictorsPatient selectionElective operationsWorse outcomesEmergency repairLonger hospital stayNationwide Inpatient SampleMultivariable logistic regressionUnited States populationRace/ethnicityHospital deathHospital staySecondary outcomesElective repairPrimary outcomePayer statusInpatient SamplePatient outcomesVentral herniasElective careGreater oddsConscious 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 ResearchMeSH KeywordsBrain Injuries, TraumaticDatabases, FactualFemaleHumansInjury Severity ScoreMaleMiddle AgedPrognosisUnconsciousnessConceptsSevere 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“Halo effect” in trauma centers: does it extend to emergent colectomy?
Nagarajan N, Selvarajah S, Gani F, Alshaikh HN, Giuliano K, Zogg CK, Schneider EB, Haider AH. “Halo effect” in trauma centers: does it extend to emergent colectomy? Journal Of Surgical Research 2016, 203: 231-237. PMID: 27125867, DOI: 10.1016/j.jss.2016.01.037.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overColectomyDatabases, FactualDiverticulitis, ColonicEmergenciesFemaleHospital ChargesHospital MortalityHumansLength of StayLinear ModelsLogistic ModelsMaleMiddle AgedPoisson DistributionQuality Assurance, Health CareQuality Indicators, Health CareTrauma CentersTreatment OutcomeUnited StatesYoung AdultConceptsLength of stayNontrauma centersHospital-level characteristicsTrauma centerEmergent colectomyEmergency general surgery conditionsEmergency general surgery proceduresNationwide Emergency Department SampleEmergency surgical interventionOdds of mortalityEmergency Department SampleGeneral surgery proceduresNontrauma conditionsHospital mortalityMedian ageSurgical interventionSurgical conditionsImproved outcomesSex distributionSurgical careMedian chargePatientsSurgery proceduresSurgery conditionsCase mix
2015
Understanding Variation in 30-Day Surgical Readmission in the Era of Accountable Care: Effect of the Patient, Surgeon, and Surgical Subspecialties
Gani F, Lucas D, Kim Y, Schneider E, Pawlik T. Understanding Variation in 30-Day Surgical Readmission in the Era of Accountable Care: Effect of the Patient, Surgeon, and Surgical Subspecialties. JAMA Surgery 2015, 150: 1042-1049. PMID: 26244543, DOI: 10.1001/jamasurg.2015.2215.Peer-Reviewed Original ResearchMeSH KeywordsAccountable Care OrganizationsAdultAge FactorsAgedClinical CompetenceComprehensionDatabases, FactualDelivery of Health CareFemaleHumansIncidenceLogistic ModelsMaleMiddle AgedMultivariate AnalysisPatient ReadmissionPhysician's RolePostoperative ComplicationsRetrospective StudiesSex FactorsSocioeconomic FactorsSpecialties, SurgicalSurgical Procedures, OperativeTime FactorsConceptsMajor surgical proceduresSurgical proceduresSurgical subspecialtiesRace/ethnicityPostoperative complicationsEndocrine surgeryAfrican American race/ethnicitySurgeon-level factorsPatient-level factorsTertiary care centerLarge academic medical centerPatient-related factorsSubspecialty levelAdministrative claims dataAcademic medical centerIndividual surgeon levelDifferent surgical subspecialtiesPreoperative comorbiditiesHospital morbidityPatient ageSurgical readmissionsCardiac surgeryTransplant surgeryPayer typeCare centerEmergent Surgery Does Not Independently Predict 30-Day Mortality After Paraesophageal Hernia Repair: Results from the ACS NSQIP Database
Augustin T, Schneider E, Alaedeen D, Kroh M, Aminian A, Reznick D, Walsh M, Brethauer S. Emergent Surgery Does Not Independently Predict 30-Day Mortality After Paraesophageal Hernia Repair: Results from the ACS NSQIP Database. Journal Of Gastrointestinal Surgery 2015, 19: 2097-2104. PMID: 26467561, DOI: 10.1007/s11605-015-2968-z.Peer-Reviewed Original ResearchConceptsNational Surgical Quality Improvement ProgramChronic obstructive pulmonary diseaseCongestive heart failureNationwide Inpatient SampleParaesophageal hernia repairEmergent surgeryEmergent patientsPEH repairHernia repairSurgical Quality Improvement ProgramPatient-level risk factorsAdjusted mortality riskElective surgery groupModified Frailty IndexACS-NSQIP databaseHigher American SocietyHigher frailty scoresObstructive pulmonary diseaseElective surgical interventionSeverity of diseaseQuality Improvement ProgramEmergent indicationsPreoperative sepsisBMI 25Comorbid illnessesUnited States trends in thrombolysis for older adults with acute ischemic stroke
George B, Asemota A, Dorsey E, Haider A, Smart B, Urrutia V, Schneider E. United States trends in thrombolysis for older adults with acute ischemic stroke. Clinical Neurology And Neurosurgery 2015, 139: 16-23. PMID: 26363362, DOI: 10.1016/j.clineuro.2015.08.031.Peer-Reviewed Original ResearchConceptsNationwide Inpatient SampleAcute ischemic strokeIschemic strokeOlder adultsStudy periodHospital mortality rateAdult stroke patientsHigh-volume hospitalsLength of stayRate of thrombolysisHigh-volume facilitiesPopulation-based ratesCochran-Armitage testThrombolysis groupVolume hospitalsUrban patientsThrombolysis useIntracerebral hemorrhageStroke patientsPrimary diagnosisInpatient SampleOdds ratioHospitalization dataThrombolysisAge subgroupsEarly Versus Late Readmission After Surgery Among Patients With Employer-provided Health Insurance
Kim Y, Gani F, Lucas D, Ejaz A, Spolverato G, Canner J, Schneider E, Pawlik T. Early Versus Late Readmission After Surgery Among Patients With Employer-provided Health Insurance. Annals Of Surgery 2015, 262: 502-511. PMID: 26258319, DOI: 10.1097/sla.0000000000001429.Peer-Reviewed Original ResearchMeSH KeywordsAcademic Medical CentersAgedCohort StudiesDatabases, FactualFemaleHealth Benefit Plans, EmployeeHealth Care CostsHospital CostsHumansLength of StayLogistic ModelsMaleMiddle AgedMultivariate AnalysisPatient DischargePatient ReadmissionRetrospective StudiesSurgical Procedures, OperativeTime FactorsConceptsNon-index hospitalsDays of dischargeMajor surgical proceduresSame-hospital readmissionsLate readmissionIndex hospitalHospital readmissionSurgical proceduresTruven Health MarketScan Commercial ClaimsMultivariable logistic regression analysisCharlson Comorbidity IndexMarketScan Commercial ClaimsLogistic regression analysisHospital mortalityComorbidity indexIndex dischargeEarly readmissionTrue incidenceEncounters DatabaseCommercial ClaimsReadmissionPatientsDifferent hospitalsHospitalHealth insuranceA 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 abilityElevated relative risk of aneurysmal subarachnoid hemorrhage with colder weather in the mid-Atlantic region
Rivera-Lara L, Kowalski R, Schneider E, Tamargo R, Nyquist P. Elevated relative risk of aneurysmal subarachnoid hemorrhage with colder weather in the mid-Atlantic region. Journal Of Clinical Neuroscience 2015, 22: 1582-1587. PMID: 26149403, DOI: 10.1016/j.jocn.2015.03.033.Peer-Reviewed Original ResearchThirty-day readmission after lower extremity bypass in diabetic patients
Najafian A, Selvarajah S, Schneider EB, Malas MB, Ehlert BA, Orion KC, Haider AH, Abularrage CJ. Thirty-day readmission after lower extremity bypass in diabetic patients. Journal Of Surgical Research 2015, 200: 356-364. PMID: 26216749, DOI: 10.1016/j.jss.2015.06.061.Peer-Reviewed Original ResearchConceptsInsulin-dependent diabetic mellitusLower extremity bypassUnplanned readmissionCardiac diseaseCardiac complicationsExtremity bypassDiabetic mellitusSurgeons National Surgery Quality Improvement Program databaseNational Surgery Quality Improvement Program databaseInfrainguinal lower extremity bypassQuality Improvement Program databaseConcomitant cardiac diseaseDependent diabetic mellitusThirty-day readmissionImprovement Program databasePeripheral vascular diseaseUnplanned readmission rateInfluence of diabetesSignificant risk factorsPostoperative complicationsCardiac workupReadmission ratesDiabetic patientsIndependent predictorsMultivariable analysisOutcomes of trauma care at centers treating a higher proportion of older patients
Zafar S, Obirieze A, Schneider E, Hashmi Z, Scott V, Greene W, Efron D, MacKenzie E, Cornwell E, Haider A. Outcomes of trauma care at centers treating a higher proportion of older patients. Journal Of Trauma And Acute Care Surgery 2015, 78: 852-859. PMID: 25742246, DOI: 10.1097/ta.0000000000000557.Peer-Reviewed Original ResearchConceptsOlder trauma patientsOlder patientsTrauma patientsTrauma centerLevel 2 trauma centerMultivariate logistic regression modelRisk-adjusted mortality ratioYoung adultsGeriatric trauma patientsAdult trauma patientsBurden of injuryLength of stayObserved-expected ratioTrauma center performanceHigher proportionLogistic regression modelsGeriatric traumaYounger patientsTrauma deathsMortality ratioTrauma visitsTrauma careEpidemiologic studiesPatientsBetter outcomesHow Do Liquid-Based Preparations of Thyroid Fine-Needle Aspiration Compare with Conventional Smears? An Analysis of 5475 Specimens
Nagarajan N, Schneider EB, Ali SZ, Zeiger MA, Olson MT. How Do Liquid-Based Preparations of Thyroid Fine-Needle Aspiration Compare with Conventional Smears? An Analysis of 5475 Specimens. Thyroid 2015, 25: 308-313. PMID: 25420135, DOI: 10.1089/thy.2014.0394.Peer-Reviewed Original ResearchConceptsFine-needle aspirationLiquid-based preparationsLBP casesConventional smearsBenign diagnosisThyroid nodulesMalignant diagnosisHistology diagnosisAspirated materialClinical databaseSuspicious categoryCS casesInitial evaluationInadequate samplesDiagnosisNodule sizePatientsSecond reviewDiagnostic frequencySmearsInadequate rateHigher proportionLower proportionPivotal roleNodules
2014
Malignancy risk and reproducibility associated with atypia of undetermined significance on thyroid cytology
Mathur A, Najafian A, Schneider E, Zeiger M, Olson M. Malignancy risk and reproducibility associated with atypia of undetermined significance on thyroid cytology. Surgery 2014, 156: 1471-1476. PMID: 25218896, DOI: 10.1016/j.surg.2014.08.026.Peer-Reviewed Original ResearchConceptsMalignancy riskUndetermined significanceAvailable surgical pathologyDiagnosis of AUSTertiary care centerFocal nuclear atypiaFine-needle aspiration specimensHürthle cell neoplasmsOutside diagnosisMalignancy rateCare centerCell neoplasmsMorphologic predictorsHigh riskNuclear atypiaSurgical pathologyBethesda SystemAUS subcategoriesAspiration specimensGreater riskThyroid CytopathologyThyroid cytologyAtypiaDiagnosisAUSEncephalitis Hospitalization Rates and Inpatient Mortality in the United States, 2000-2010
George B, Schneider E, Venkatesan A. Encephalitis Hospitalization Rates and Inpatient Mortality in the United States, 2000-2010. PLOS ONE 2014, 9: e104169. PMID: 25192177, PMCID: PMC4156306, DOI: 10.1371/journal.pone.0104169.Peer-Reviewed Original ResearchConceptsNationwide Inpatient SampleHospitalization ratesEncephalitis hospitalizationsInpatient mortalitySpecified causeComorbid HIV/AIDSAcute phase outcomesComorbid HIV infectionDiagnosis of encephalitisOdds of mortalityRetrospective observational studyCommon infectious agentsAcute care hospitalsYears of ageHerpes simplex virusHIV/AIDSAutoimmune conditionsCare hospitalHIV infectionWest Nile virusCause-specific ratesEncephalitis patientsViral causeAdjusted oddsInpatient SampleCholecystectomy and Wound Complications: Smoking Worsens Risk
Selvarajah S, Ahmed A, Schneider E, Canner J, Pawlik T, Abularrage C, Hui X, Schwartz D, Hisam B, Haider A. Cholecystectomy and Wound Complications: Smoking Worsens Risk. Journal Of Surgical Research 2014, 192: 41-49. PMID: 25015752, DOI: 10.1016/j.jss.2014.06.014.Peer-Reviewed Original ResearchConceptsWound complicationsActive smokersLaparoscopic cholecystectomyPostoperative lengthSurgical approachNational Surgical Quality Improvement Program databaseQuality Improvement Program databaseCurrent Procedural Terminology codesImprovement Program databaseWound complication rateAverage postoperative lengthBenign gallbladder diseaseProcedural Terminology codesPreoperative smokingClinical characteristicsOpen cholecystectomyComplication rateSmoking statusGallbladder diseaseProgram databaseCholecystectomyTerminology codesComplicationsSmokersPatients