Predicting Risk of Death in General Surgery Patients on the Basis of Preoperative Variables Using American College of Surgeons National Surgical Quality Improvement Program Data
Vaid S, Bell T, Grim R, Ahuja V. Predicting Risk of Death in General Surgery Patients on the Basis of Preoperative Variables Using American College of Surgeons National Surgical Quality Improvement Program Data. The Permanente Journal 2012, 16: 10-17. PMID: 23251111, PMCID: PMC3523928, DOI: 10.7812/tpp/12-019.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overDatabases, FactualDecision Support TechniquesFemaleGeneral SurgeryHospital MortalityHumansLogistic ModelsMaleMiddle AgedPostoperative ComplicationsPractice Guidelines as TopicPreoperative PeriodReproducibility of ResultsRisk AssessmentRisk FactorsSocieties, MedicalTreatment OutcomeUnited StatesYoung AdultConceptsPreoperative variablesMortality predictorsAmerican CollegeACS NSQIP Participant Use Data FilesNational Surgical Quality Improvement Program databaseSurgeons National Surgical Quality Improvement Program dataSurgeons National Surgical Quality Improvement Program databaseNational Surgical Quality Improvement Program dataNSQIP Participant Use Data FilesParticipant Use Data FileQuality Improvement Program dataQuality Improvement Program databaseLogistic regressionGeneral surgery patientsCurrent Procedural Terminology codesPoor functional statusImprovement Program databaseRisk of deathProcedural Terminology codesLaparoscopic colorectalOperative survivalSurgery patientsSteroid usePancreas surgeryDead patients