Prediction of the prognosis of Bell's palsy using multivariate analyses

Otol Neurotol. 2008 Jan;29(1):69-72. doi: 10.1097/mao.0b013e31815c2aa0.

Abstract

Objectives: This study aimed to establish more reliable formulae for predicting the prognosis for patients with Bell's palsy at initial examination.

Patients: One hundred four consecutive patients with Bell's palsy whose facial movement was either completely recovered or unchanged for more than 6 months.

Intervention: Diagnostic.

Main outcome measures: Multivariate analyses were performed using the following variables: Age, House-Brackmann score (H-B), electroneuronography (ENoG), nerve excitability test (NET), blink reflex, and stapedial muscle reflex on initial examination.

Results: Duration to maximal recovery can be predicted with the adjusted coefficient of 0.51 using H-B, ENoG, stapedial muscle reflex, and NET. Whether complete recovery would be achieved can be predicted with the Nagelkerke coefficient of determination of 0.72 using age, H-B, ENoG, and NET.

Conclusion: This study suggested that the prognosis of patients who recovered early can be predicted more precisely; however, the prognosis of patients who recovered late and incomplete could not be predicted easily.

MeSH terms

  • Adult
  • Algorithms
  • Bell Palsy / diagnosis*
  • Bell Palsy / physiopathology*
  • Blinking / physiology
  • Electrodiagnosis
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Predictive Value of Tests
  • Prognosis
  • Reflex / physiology
  • Treatment Outcome