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Background: Identifying which variables influence the personalized rehabilitation of patients with lower limb amputation and understanding their interrelationships optimizes resource allocation. This study aims to identify priority variables that influence clinical follow-up using hierarchical cluster analysis (HCA).
Methods: Data on 26 variables were collected from 70 patients diagnosed with lower limb amputation; (age, gender, body mass index(BMI), marital status, education, occupation, smoking and alcohol use, amputation - level/duration/lateral/etiology, prosthesis type, type of additional prosthesis, Kellgren Lawrence Classification(KLC) - right/left knee, Houghton Scale(HS), Timed-Up&Go(TUG) Test, Trinity Amputation and Prosthesis Experience Scales(TAPES)-prosthesis satisfaction/psychosocial adjustment/activity limitation, Using the 12-item Short Form Health Questionnaire(SF-12)-physical score(PS)/mental score(MS), Locomotor Capabilities Index-5(LCI-5), Medicare Functional Classification Level(MFCL) and Falls Efficacy Scale(FES)). From the collected data, dendrograms were formed by using HCA with Ward linkage method.
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Data sourced from clinicaltrials.gov
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