OBJECTIVE: The purpose of this study was to determine: (1) the relationship between vestibular loss severity and functional performance, (2) which functional performance outcomes best predict vestibular loss, and (3) which vestibular rate sensors (canals vs. otoliths) provide the most weighting during different functional measures. STUDY DESIGN: Prospective. SETTING: Tertiary referral center. PATIENTS: Fifty-seven children with normal hearing (mean age: 12.3 years, 32 males) and 55 children with cochlear implants (mean age 12.8 years, 29 males). INTERVENTION: Diagnostic. MAIN OUTCOME MEASURES: Video head impulse test, cervical vestibular evoked myogenic potential (cVEMP), ocular VEMP (oVEMP), single leg stance, Standing Balance Test, active and passive dynamic visual acuity, and the balance subtest of the Bruininks-Oseretsky Test of Motor Proficiency (BOT-2). RESULTS: Performance worsened as vestibular loss severity worsened for all functional outcomes except the standing balance test conditions 1 and 2. The best outcomes for classifying children with vestibular loss were the single leg stance (cut-off criterion: 5 seconds; sensitivity and specificity of 88% and 86%) and the BOT-2 balance subtest (cut-off criterion of 27.5 points; sensitivity and specificity of 88% and 88%). Average horizontal canal vHIT gain was a significant predictor of all functional outcomes while neither corrected cVEMP amplitude nor oVEMP amplitude predicted performance. CONCLUSION: Functional performance declines as vestibular loss severity worsens. Single leg stance is fast and efficient for predicting vestibular loss in school age children. Average horizontal canal vHIT best predicts functional performance; if using a tiered approach, horizontal canal vHIT should be completed first.
OBJECTIVE: The purpose of this study was to determine: (1) the relationship between vestibular loss severity and functional performance, (2) which functional performance outcomes best predict vestibular loss, and (3) which vestibular rate sensors (canals vs. otoliths) provide the most weighting during different functional measures. STUDY DESIGN: Prospective. SETTING: Tertiary referral center. PATIENTS: Fifty-seven children with normal hearing (mean age: 12.3 years, 32 males) and 55 children with cochlear implants (mean age 12.8 years, 29 males). INTERVENTION: Diagnostic. MAIN OUTCOME MEASURES: Video head impulse test, cervical vestibular evoked myogenic potential (cVEMP), ocular VEMP (oVEMP), single leg stance, Standing Balance Test, active and passive dynamic visual acuity, and the balance subtest of the Bruininks-Oseretsky Test of Motor Proficiency (BOT-2). RESULTS: Performance worsened as vestibular loss severity worsened for all functional outcomes except the standing balance test conditions 1 and 2. The best outcomes for classifying children with vestibular loss were the single leg stance (cut-off criterion: 5 seconds; sensitivity and specificity of 88% and 86%) and the BOT-2 balance subtest (cut-off criterion of 27.5 points; sensitivity and specificity of 88% and 88%). Average horizontal canal vHIT gain was a significant predictor of all functional outcomes while neither corrected cVEMP amplitude nor oVEMP amplitude predicted performance. CONCLUSION: Functional performance declines as vestibular loss severity worsens. Single leg stance is fast and efficient for predicting vestibular loss in school age children. Average horizontal canal vHIT best predicts functional performance; if using a tiered approach, horizontal canal vHIT should be completed first.
Authors: Rosemarie M Rine; Michael C Schubert; Susan L Whitney; Dale Roberts; Mark S Redfern; Mark C Musolino; Jennica L Roche; Daniel P Steed; Bree Corbin; Chia-Cheng Lin; Greg F Marchetti; Jennifer Beaumont; John P Carey; Neil P Shepard; Gary P Jacobson; Diane M Wrisley; Howard J Hoffman; Gabriel Furman; Jerry Slotkin Journal: Neurology Date: 2013-03-12 Impact factor: 9.910
Authors: Kristen L Janky; Megan L A Thomas; Robin R High; Kendra K Schmid; Oluwaseye Ayoola Ogun Journal: Am J Audiol Date: 2018-03-08 Impact factor: 1.493