2018
Defining the learning curve in robot-assisted thoracoscopic lobectomy
Arnold BN, Thomas DC, Bhatnagar V, Blasberg JD, Wang Z, Boffa DJ, Detterbeck FC, Kim AW. Defining the learning curve in robot-assisted thoracoscopic lobectomy. Surgery 2018, 165: 450-454. PMID: 30061043, DOI: 10.1016/j.surg.2018.06.011.Peer-Reviewed Original ResearchConceptsLength of stayRobot-assisted thoracoscopic lobectomyChest tube durationThoracoscopic lobectomyPostoperative complicationsTube durationBlood lossLearning curveSignificant differencesCumulative sum analysisPhase 1Complication ratePatient demographicsPulmonary lobectomySingle institutionLobectomyRATS lobectomySafe approachStayCase 1Cases 23Operating timeComorbiditiesComplicationsFurther studies
2017
Length of Stay From the Hospital Perspective
Rosen JE, Salazar MC, Dharmarajan K, Kim AW, Detterbeck FC, Boffa DJ. Length of Stay From the Hospital Perspective. Annals Of Surgery 2017, 266: 383-388. PMID: 27564681, DOI: 10.1097/sla.0000000000001971.Peer-Reviewed Original ResearchConceptsMedian LOSLength of stayEarly discharge practicesDischarge practicesReadmission ratesEarly dischargeCancer-accredited hospitalsNational Cancer DatabaseLung cancer surgeryRisk of readmissionHospital discharge practicesHierarchical logistic regression modelsLack of effectLogistic regression modelsMore readmissionsUnplanned readmissionThoracotomy approachCancer surgeryReadmission riskLung cancerCancer DatabaseInclusion criteriaReadmissionHospital perspectivePatients
2016
Hospital Volume and Outcomes of Robot-Assisted Lobectomies
Tchouta LN, Park HS, Boffa DJ, Blasberg JD, Detterbeck FC, Kim AW. Hospital Volume and Outcomes of Robot-Assisted Lobectomies. CHEST Journal 2016, 151: 329-339. PMID: 27687847, DOI: 10.1016/j.chest.2016.09.008.Peer-Reviewed Original ResearchMeSH KeywordsAgedCase-Control StudiesCohort StudiesDatabases, FactualFemaleHospital MortalityHospitals, High-VolumeHospitals, Low-VolumeHumansLength of StayLinear ModelsLogistic ModelsLungLung NeoplasmsMaleMiddle AgedMultivariate AnalysisPneumonectomyPostoperative ComplicationsRetrospective StudiesRobotic Surgical ProceduresThoracic Surgery, Video-AssistedTreatment OutcomeConceptsLength of stayLow-volume centersHospital volumeClinical impactHealth care system-related factorsShorter mean LOSUtilization Project National Inpatient Sample databaseVolume/outcome relationshipLong-term clinical impactMean LOSNational Inpatient Sample databaseShorter LOSVideo-assisted thoracoscopic surgeryHospital operative volumeHigh-volume hospitalsIncidence of complicationsHigher hospital volumeThoracoscopic surgery lobectomyAnnual case volumeSystem-related factorsOutcomes of interestLOS outcomesInfectious complicationsInpatient mortalityIndependent predictorsEstimating the Annual Incremental Cost of Several Complications Following Pulmonary Lobectomy
Jawitz OK, Boffa DJ, Detterbeck FC, Wang Z, Kim AW. Estimating the Annual Incremental Cost of Several Complications Following Pulmonary Lobectomy. Seminars In Thoracic And Cardiovascular Surgery 2016, 28: 531-540. PMID: 28043473, DOI: 10.1053/j.semtcvs.2016.06.001.Peer-Reviewed Original ResearchConceptsAcute respiratory failureLength of hospitalizationPulmonary lobectomyHospital stayRespiratory failureMajor complicationsAir leakAnnual health care expendituresRetrospective cohort analysisNational Inpatient SampleLength of stayPostoperative air leaksUtilization Project databaseAnnual incremental costMultivariable quantile regression modelsAggregate national costHealth care expendituresHealth care qualityLarge national datasetCommon complicationVATS lobectomyCostly complicationInpatient SampleHospital costsClinical dataA model for predicting prolonged length of stay in patients undergoing anatomical lung resection: a National Surgical Quality Improvement Program (NSQIP) database study
DeLuzio MR, Keshava HB, Wang Z, Boffa DJ, Detterbeck FC, Kim AW. A model for predicting prolonged length of stay in patients undergoing anatomical lung resection: a National Surgical Quality Improvement Program (NSQIP) database study. Interdisciplinary CardioVascular And Thoracic Surgery 2016, 23: 208-215. PMID: 27073262, DOI: 10.1093/icvts/ivw090.Peer-Reviewed Original ResearchConceptsAnatomical lung resectionProlonged lengthLung resectionRisk factorsRisk stratificationNational Surgical Quality Improvement Program database studyAnatomical pulmonary resectionBetter risk stratificationOverall patient outcomesHigh-risk populationLength of stayExternal validation groupLogistic regression analysisPostoperative complicationsPostoperative variablesPulmonary resectionNSQIP databaseComparison of receiverPatient outcomesDatabase studyResectionPatientsStayValidation groupScoring system