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

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.