Utilization of Machine Learning to Model Important Features of 30-day Readmissions following Surgery for Metastatic Spinal Column Tumors: The Influence of Frailty
Elsamadicy A, Koo A, Reeves B, Cross J, Hersh A, Hengartner A, Karhade A, Pennington Z, Akinduro O, Lo S, Gokaslan Z, Shin J, Mendel E, Sciubba D. Utilization of Machine Learning to Model Important Features of 30-day Readmissions following Surgery for Metastatic Spinal Column Tumors: The Influence of Frailty. Global Spine Journal 2022, 14: 1227-1237. PMID: 36318478, PMCID: PMC11289550, DOI: 10.1177/21925682221138053.Peer-Reviewed Original ResearchHospital Frailty Risk ScoreSpinal column tumorsFrailty Risk ScoreInfluence of frailtySpinal column metastasesProportion of patientsRetrospective cohort studyNationwide Readmissions DatabaseRisk of readmissionMultivariate regression analysisIntermediate frailtyAdult patientsCohort studyIndependent predictorsSurgical interventionSpine surgeryReadmissionPatient readmissionRisk scorePatientsFrailtySurgeryCohortTumorsRegression analysisHospital Frailty Risk Score and healthcare resource utilization after surgery for metastatic spinal column tumors.
Elsamadicy AA, Koo AB, Reeves BC, Pennington Z, Yu J, Goodwin CR, Kolb L, Laurans M, Lo SL, Shin JH, Sciubba DM. Hospital Frailty Risk Score and healthcare resource utilization after surgery for metastatic spinal column tumors. Journal Of Neurosurgery Spine 2022, 37: 241-251. PMID: 35148505, DOI: 10.3171/2022.1.spine21987.Peer-Reviewed Original ResearchHospital Frailty Risk ScoreLength of staySpinal column tumorsFrailty Risk ScoreNonroutine dischargeHospital admissionHigh frailtyIntermediate frailtyDischarge dispositionSpinal tumorsLower frailtyDiagnostic codesRisk scoreHigher total hospital costsMean LOSNational Inpatient Sample databaseMultivariate logistic regression analysisICD-10 diagnostic codesImpact of frailtyRetrospective cohort studyHealthcare resource utilizationProportion of patientsTotal hospital costsProcedural Coding SystemLogistic regression analysis