To investigate factors associated with recurrence in patients with benign paroxysmal positional vertigo (BPPV), develop a recurrence risk prediction model, and further evaluate the incremental value of vestibular evoked myogenic potential (VEMP) parameters in improving model predictive performance.
✦ The floor
Discussion
Signed responses from readers of the wire.
A new BPPV recurrence prediction model is described, but without external validation data, clinicians should treat it as hypothesis-generating; no change to current BPPV management is warranted until prospective validation is published.
A validated recurrence-risk tool for BPPV could help audiologists and vestibular clinicians triage follow-up intensity and counsel patients on prognosis more precisely.
- 01Study identifies risk factors associated with BPPV recurrence in a clinical patient sample.
- 02A prediction model was constructed and its clinical utility was evaluated (ahead of print, Acta Neurologica Belgica, 2026).
- 03External validation of the model has not yet been reported.
- 04BPPV is one of the most common causes of vertigo and carries meaningful recurrence rates.
- 05Risk stratification tools could inform follow-up scheduling and patient education.
A recurrence risk prediction model for BPPV was developed and demonstrated clinical utility.
studypartially supportedSpecific risk factors for BPPV recurrence were identified in the study population.
studypartially supported- PMID
- 42744978
- DOI
- 10.1007/s13760-026-03190-x.
- Journal
- Acta Neurologica Belgica
- Publication type
- research_article
- Evidence level
- 4
- Population
- Patients diagnosed with benign paroxysmal positional vertigo (BPPV)
- Intervention
- Development of a recurrence risk prediction model based on identified risk factors
Primary outcomes
Identification of recurrence risk factors for BPPV; Clinical utility of the recurrence risk prediction model