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Identifying predictors for postoperative clinical outcome in lumbar spinal stenosis patients using smart-shoe technology

DC FieldValueLanguage
dc.contributor.author박은정-
dc.date.accessioned2018-07-20T07:57:57Z-
dc.date.available2018-07-20T07:57:57Z-
dc.date.issued2017-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/160713-
dc.description.abstractBACKGROUND: Approximately 33% of the patients with lumbar spinal stenosis (LSS) who undergo surgery are not satisfied with their postoperative clinical outcomes. Therefore, identifying predictors for postoperative outcome and groups of patients who will benefit from the surgical intervention is of significant clinical benefit. However, many of the studied predictors to date suffer from subjective recall bias, lack fine digital measures, and yield poor correlation to outcomes. METHODS: This study utilized smart-shoes to capture gait parameters extracted preoperatively during a 10 m self-paced walking test, which was hypothesized to provide objective, digital measurements regarding the level of gait impairment caused by LSS symptoms, with the goal of predicting postoperative outcomes in a cohort of LSS patients who received lumbar decompression and/or fusion surgery. The Oswestry Disability Index (ODI) and predominant pain level measured via the Visual Analogue Scale (VAS) were used as the postoperative clinical outcome variables. RESULTS: The gait parameters extracted from the smart-shoes made statistically significant predictions of the postoperative improvement in ODI (RMSE =0.13, r=0.93, and p<3.92×10-7) and predominant pain level (RMSE =0.19, r=0.83, and p<1.28×10-4). Additionally, the gait parameters produced greater prediction accuracy compared to the clinical variables that had been previously investigated. CONCLUSIONS: The reported results herein support the hypothesis that the measurement of gait characteristics by our smart-shoe system can provide accurate predictions of the surgical outcomes, assisting clinicians in identifying which LSS patient population can benefit from the surgical intervention and optimize treatment strategies.-
dc.description.statementOfResponsibilityopen-
dc.languageEngland-
dc.publisher1743-0003-
dc.relation.isPartOfJournal of Neuroengineering and Rehabilitation-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHAged-
dc.subject.MESHBiomechanical Phenomena-
dc.subject.MESHCohort Studies-
dc.subject.MESHDecompression, Surgical-
dc.subject.MESHDisability Evaluation-
dc.subject.MESHFemale-
dc.subject.MESHGait-
dc.subject.MESHHumans-
dc.subject.MESHLumbar Vertebrae/surgery*-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPain Measurement-
dc.subject.MESHPain, Postoperative/epidemiology-
dc.subject.MESHPilot Projects-
dc.subject.MESHPostoperative Period-
dc.subject.MESHPredictive Value of Tests-
dc.subject.MESHReproducibility of Results-
dc.subject.MESHShoes*-
dc.subject.MESHSpinal Stenosis/surgery*-
dc.subject.MESHTreatment Outcome-
dc.subject.MESHWalking-
dc.titleIdentifying predictors for postoperative clinical outcome in lumbar spinal stenosis patients using smart-shoe technology-
dc.typeArticle-
dc.contributor.collegeResearch Institutes-
dc.contributor.departmentYonsei Cardiovascular Research Institute-
dc.contributor.googleauthorSunghoon I. Lee-
dc.contributor.googleauthorAndrew Campion-
dc.contributor.googleauthorAlex Huang-
dc.contributor.googleauthorEunjeong Park-
dc.contributor.googleauthorJordan H. Garst-
dc.contributor.googleauthorNima Jahanforouz-
dc.contributor.googleauthorMarie Espinal-
dc.contributor.googleauthorTiffany Siero-
dc.contributor.googleauthorSophie Pollack-
dc.contributor.googleauthorMarwa Afridi-
dc.contributor.googleauthorMeelod Daneshvar-
dc.contributor.googleauthorSaif Ghias-
dc.contributor.googleauthorMajid Sarrafzadeh-
dc.contributor.googleauthorDaniel C. Lu-
dc.identifier.doi10.1186/s12984-017-0288-0-
dc.contributor.localIdA05332-
dc.relation.journalcodeJ03360-
dc.identifier.pmid28720144-
dc.subject.keywordLumbar spinal stenosis-
dc.subject.keywordOswestry disability index-
dc.subject.keywordPrediction-
dc.subject.keywordPredominant pain-
dc.subject.keywordSmart shoes-
dc.subject.keywordWalking test-
dc.contributor.alternativeNamePark, Eunjeong-
dc.contributor.affiliatedAuthorPark, Eunjeong-
dc.citation.volume14-
dc.citation.number1-
dc.citation.startPage77-
dc.identifier.bibliographicCitationJournal of Neuroengineering and Rehabilitation, Vol.14(1) : 77, 2017-
Appears in Collections:
5. Research Institutes (연구소) > Yonsei Cardiovascular Research Institute (심혈관연구소) > 1. Journal Papers

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