2023
Frailty and postoperative outcomes in brain tumor patients: a systematic review subdivided by tumor etiology
Qureshi H, Tabor J, Pickens K, Lei H, Vasandani S, Jalal M, Vetsa S, Elsamadicy A, Marianayagam N, Theriault B, Fulbright R, Qin R, Yan J, Jin L, O’Brien J, Morales-Valero S, Moliterno J. Frailty and postoperative outcomes in brain tumor patients: a systematic review subdivided by tumor etiology. Journal Of Neuro-Oncology 2023, 164: 299-308. PMID: 37624530, PMCID: PMC10522517, DOI: 10.1007/s11060-023-04416-1.Peer-Reviewed Original ResearchBrain tumor patientsTumor patientsPostoperative outcomesFrailty indexSystematic reviewBrain tumorsPrimary intracranial tumorsMethodsSystematic literature reviewPrognostic valueVestibular schwannomaPostsurgical outcomesBenign tumorsIntracranial tumorsLesion etiologyTumor outcomeExclusion criteriaMalignant lesionsPRISMA guidelinesPatientsConclusionOur reviewTumor pathologyUnique etiologyTumor typesFrailtyNeurosurgical oncologyAssessment of the impact of frailty on adverse surgical outcomes in patients undergoing surgery for intracranial tumors using modified frailty index: A systematic review and meta-analysis
Aghajanian S, Shafiee A, Ahmadi A, Elsamadicy A. Assessment of the impact of frailty on adverse surgical outcomes in patients undergoing surgery for intracranial tumors using modified frailty index: A systematic review and meta-analysis. Journal Of Clinical Neuroscience 2023, 114: 120-128. PMID: 37390775, DOI: 10.1016/j.jocn.2023.06.013.Peer-Reviewed Original ResearchConceptsImpact of frailtyFrailty indexMFI scoreAdverse outcomesReoperation rateIntracranial tumorsNon-frail participantsAdverse surgical outcomesNeuro-oncological surgeryWeb of SciencePerioperative outcomesComplication rateIndependent predictorsSurgical outcomesWorse prognosisMean ageObservational studySurgical pathologyMixed-effects multilevel modelsPrimary analysisSystematic reviewNeurosurgical proceduresFrailtySurgical operationSurgery
2022
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 analysis