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
2012
Limitations of Administrative Databases
Haut E, Pronovost P, Schneider E. Limitations of Administrative Databases. JAMA 2012, 307: 2589-2590. PMID: 22735421, DOI: 10.1001/jama.2012.6626.Peer-Reviewed Original Research