2018
Missing data treatments matter: an analysis of multiple imputation for anterior cervical discectomy and fusion procedures
Ondeck NT, Fu MC, Skrip LA, McLynn RP, Cui JJ, Basques BA, Albert TJ, Grauer JN. Missing data treatments matter: an analysis of multiple imputation for anterior cervical discectomy and fusion procedures. The Spine Journal 2018, 18: 2009-2017. PMID: 29649614, DOI: 10.1016/j.spinee.2018.04.001.Peer-Reviewed Original ResearchConceptsSevere adverse eventsNational Surgical Quality Improvement ProgramAnterior cervical discectomyAdverse eventsPreoperative anemiaPreoperative hypoalbuminemiaPreoperative albuminCervical discectomyHospital readmissionAdverse outcomesComplete case analysisSurgical Quality Improvement ProgramAdverse outcome variablesOne-level ACDFPreoperative laboratory valuesBody mass indexFusion proceduresMultiple imputationLogistic regression analysisQuality Improvement ProgramPreoperative hematocritPostoperative outcomesRetrospective reviewMass indexLaboratory valuesMissing data may lead to changes in hip fracture database studies: a study of the American College of Surgeons National Surgical Quality Improvement Program.
Basques BA, McLynn RP, Lukasiewicz AM, Samuel AM, Bohl DD, Grauer JN. Missing data may lead to changes in hip fracture database studies: a study of the American College of Surgeons National Surgical Quality Improvement Program. The Bone & Joint Journal 2018, 100-B: 226-232. PMID: 29437066, DOI: 10.1302/0301-620x.100b2.bjj-2017-0791.r1.Peer-Reviewed Original ResearchConceptsAdverse eventsRisk factorsDatabase studyNational Surgical Quality Improvement Program databaseSurgeons National Surgical Quality Improvement ProgramNational Surgical Quality Improvement ProgramQuality Improvement Program databaseSurgical Quality Improvement ProgramPostoperative adverse eventsImprovement Program databaseNational database studyDifferent risk factorsMultivariate regressionQuality Improvement ProgramElderly patientsNSQIP databaseBone JointProgram databaseLaboratory valuesAmerican CollegePatientsHipFracturesComorbiditiesSurgery
2017
Results of Database Studies in Spine Surgery Can Be Influenced by Missing Data
Basques BA, McLynn RP, Fice MP, Samuel AM, Lukasiewicz AM, Bohl DD, Ahn J, Singh K, Grauer JN. Results of Database Studies in Spine Surgery Can Be Influenced by Missing Data. Clinical Orthopaedics And Related Research® 2017, 475: 2893-2904. PMID: 27896677, PMCID: PMC5670041, DOI: 10.1007/s11999-016-5175-7.Peer-Reviewed Original ResearchMeSH KeywordsComorbidityData AccuracyData CollectionData MiningDatabases, FactualDecision Support TechniquesHumansLength of StayLogistic ModelsMultivariate AnalysisOdds RatioOperative TimeOrthopedic ProceduresPostoperative ComplicationsPredictive Value of TestsProcess Assessment, Health CareRetrospective StudiesRisk AssessmentRisk FactorsSpinal DiseasesSpineTime FactorsTreatment OutcomeUnited StatesConceptsACS-NSQIP databaseAdverse eventsPreoperative laboratory valuesRisk factorsSpine surgeryOperating room timeLaboratory valuesSpine studiesACS-NSQIPDatabase studyRoom timeReference rangeQuality Improvement Program databasePerioperative laboratory valuesVariable reference rangesAnterior cervical discectomyImprovement Program databaseMost risk factorsLength of stayLarge database studiesDifferent risk factorsEffect sizeCervical discectomyMedical comorbiditiesGreater effect sizeTreatments of Missing Values in Large National Data Affect Conclusions: The Impact of Multiple Imputation on Arthroplasty Research
Ondeck NT, Fu MC, Skrip LA, McLynn RP, Su EP, Grauer JN. Treatments of Missing Values in Large National Data Affect Conclusions: The Impact of Multiple Imputation on Arthroplasty Research. The Journal Of Arthroplasty 2017, 33: 661-667. PMID: 29153865, DOI: 10.1016/j.arth.2017.10.034.Peer-Reviewed Original ResearchConceptsUnicompartmental knee arthroplastyPreoperative albuminAdverse outcomesKnee arthroplastyNational Surgical Quality Improvement ProgramComplete case analysisHematocrit valuesSurgical Quality Improvement ProgramDemographics of patientsPreoperative laboratory valuesMultiple imputationQuality Improvement ProgramArthroplasty researchSelection biasHealthy patientsLaboratory valuesPotential selection biasPatientsJoint surgeonsComplete dataArthroplastyOnly caseNational datasetOutcomesConclusion