A practical assessment algorithm for diagnosis of dizziness.
OBJECTIVE
We sought to test a 3-parameter model for diagnosis of dizziness based on the type and temporal characteristics of the dizziness and on hearing status.


METHODS
We conducted a prospective blinded study at a tertiary referral neurotology practice. Before examination, patients completed a questionnaire reporting type and timing of dizziness symptoms and hearing status. Clinical diagnoses were compared with questionnaire results.


RESULTS
Fifty-seven patients completed the questionnaire. We were able to correctly classify 21 (60%) of the 35 subjects who had a common otogenic cause of vertigo by the diagnostic algorithm.


CONCLUSIONS
A simple classification of dizziness by type, timing, and hearing status can be self-reported by patients using a brief questionnaire. This classification scheme is as good as others of much greater complexity.


CONCLUSIONS
The simple classification scheme reported here is based on history alone and facilitates triage of dizzy patients into diagnostic groups for work-up and management.
Kentala
Erna
E
Department of Otology and Laryngology, Harvard Medical School, Boston, MA, USA.
Rauch
Steven D
SD
D000328:Adult; D000367:Age Factors; D000368:Aged; D000465:Algorithms; D001299:Audiometry / Q000379:methods; D003937:Diagnosis, Differential; D004244:Dizziness / Q000175:diagnosis*; D004311:Double-Blind Method; D005260:Female; D006311:Hearing Disorders / Q000175:diagnosis*; D006801:Humans; D008297:Male; D008875:Middle Aged; D010358:Patient Participation; D010808:Physical Examination / Q000379:methods; D011446:Prospective Studies; D018570:Risk Assessment; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D012737:Sex Factors; D014717:Vertigo / Q000175:diagnosis*; D014724:Vestibular Function Tests