March 3, 2026Frontiers in Neurology0 citationsOpen Access

Analysis of risk factors for Meige syndrome and construction and validation of a clinical prediction nomogram model

Key Points

The nomogram predicts risk with independent predictors, including thyroid disorders and female sex.
Key predictors include psychiatric disorders and cerebrovascular disease among other factors.
Clinical prediction nomogram model development involved multiple relevant risk factors for early intervention.
Further optimization through multicenter prospective studies is needed for validation and improvement.

Abstract

We developed and validated a clinical prediction nomogram for MS incorporating eight independent predictors: history of thyroid disorders, psychiatric disorders, head/face surgery, female sex, cerebrovascular disease, as well as protective factors including smoking, alcohol consumption, and diabetes. The model provides a quantifiable tool for early risk stratification and targeted intervention in clinical practice. However, further optimization and validation through multicenter prospective studies are warranted.

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Cite This Study

Liu et al. (Tue,) studied this question.

synapsesocial.com/papers/69a765ffbadf0bb9e87db34b https://doi.org/https://doi.org/10.3389/fneur.2026.1755240

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