Time‐Continuous Prognostic Mapping of Bell's Palsy Using Yanagihara Scores and Electroneurography

OBJECTIVE: Bell's palsy impairs social functioning. Conventional prognostic assessment relies on clinical grading and electroneurography (ENoG), but predictive accuracy remains limited. This study introduces a time-continuous probabilistic approach that integrates longitudinal Yanagihara scores and ENoG to enable dynamic, individualized prognostic estimation. METHODS: We conducted a retrospective longitudinal study of patients with Bell's palsy treated between April 2013 and March 2024. Eligible patients were aged ≥ 15 years, hospitalized within 1 week of onset, and received high-dose corticosteroids. Exclusion criteria included other etiologies, prior facial palsy, facial nerve decompression, treatment discontinuation, or incomplete data. Recovery was defined as a Yanagihara score ≥ 36, and nonrecovery as failure to achieve this within ≥ 6 months. ENoG values obtained within 4 weeks of onset were stratified into five groups. Multivariable logistic regression was performed using ENoG, sex, age, diabetes, hypertension, dyslipidemia, body mass index, and HbA1C as covariates. Logistic curves were fitted to longitudinal scores, and Monte Carlo/Bayesian procedures were applied to generate recovery probability maps. RESULTS: Among 128 eligible patients, ENoG emerged as the only significant predictor of recovery. The probability maps provided a novel visualization of individualized prognosis at any time point. This method estimated recovery likelihood even in patients with follow-up intervals, addressing irregular limitations of prior fixed-timepoint models. Conditional mutual information plateaued around 50 days, indicating stabilization of predictive discrimination beyond that period. CONCLUSION: Incorporating longitudinal Yanagihara scores obtained during outpatient follow-up enhances recovery prediction accuracy. This practical, dynamic approach facilitates intuitive risk visualization and supports improved prognostic counseling in clinical practice.

Authors

Institutions

Publication Details

Journal
The Laryngoscope
Published
2026-04-15
DOI
https://doi.org/10.1002/lary.70562
Primary Topic
Facial Nerve Paralysis Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Time‐Continuous Prognostic Mapping of Bell's Palsy Using Yanagihara Scores and Electroneurography

Hironobu Nishijima, Shumpei Hisamoto, Kazuo Yasuhara, Kenji Kondo et al.
The Laryngoscope
Facial Nerve Paralysis Treatment and Research
article

Time‐Continuous Prognostic Mapping of Bell's Palsy Using Yanagihara Scores and Electroneurography

Hironobu Nishijima, Shumpei Hisamoto, Kazuo Yasuhara, Kenji Kondo, Shogo N. Watanabe
article en

Abstract

OBJECTIVE: Bell's palsy impairs social functioning. Conventional prognostic assessment relies on clinical grading and electroneurography (ENoG), but predictive accuracy remains limited. This study introduces a time-continuous probabilistic approach that integrates longitudinal Yanagihara scores and ENoG to enable dynamic, individualized prognostic estimation. METHODS: We conducted a retrospective longitudinal study of patients with Bell's palsy treated between April 2013 and March 2024. Eligible patients were aged ≥ 15 years, hospitalized within 1 week of onset, and received high-dose corticosteroids. Exclusion criteria included other etiologies, prior facial palsy, facial nerve decompression, treatment discontinuation, or incomplete data. Recovery was defined as a Yanagihara score ≥ 36, and nonrecovery as failure to achieve this within ≥ 6 months. ENoG values obtained within 4 weeks of onset were stratified into five groups. Multivariable logistic regression was performed using ENoG, sex, age, diabetes, hypertension, dyslipidemia, body mass index, and HbA1C as covariates. Logistic curves were fitted to longitudinal scores, and Monte Carlo/Bayesian procedures were applied to generate recovery probability maps. RESULTS: Among 128 eligible patients, ENoG emerged as the only significant predictor of recovery. The probability maps provided a novel visualization of individualized prognosis at any time point. This method estimated recovery likelihood even in patients with follow-up intervals, addressing irregular limitations of prior fixed-timepoint models. Conditional mutual information plateaued around 50 days, indicating stabilization of predictive discrimination beyond that period. CONCLUSION: Incorporating longitudinal Yanagihara scores obtained during outpatient follow-up enhances recovery prediction accuracy. This practical, dynamic approach facilitates intuitive risk visualization and supports improved prognostic counseling in clinical practice.

The Laryngoscope
Meiji University (JP), Ijinkai Takeda General Hospital (JP), Teikyo University Hospital (JP), The University of Tokyo (JP), Teikyo University (JP)
Openalex Percentile: Top 12%
Facial Nerve Paralysis Treatment and Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.