A nomogram based on coagulation markers for predicting meige syndrome risk

Area of Science:

• Neurology
• Hematology
• Medical Diagnostics

Background:

• Meige syndrome (MS) is a rare adult-onset cranial dystonia with complex neuropathological origins.
• Abnormal blood coagulation is increasingly recognized for its role in neurological disease.
• The specific association between coagulation markers and MS pathophysiology remains largely unexplored.

Purpose of the Study:

• To investigate the association between coagulation markers and Meige syndrome.
• To identify independent risk factors for MS using coagulation parameters.
• To develop a predictive model for MS risk assessment.

Main Methods:

• Retrospective analysis of coagulation data from 493 MS patients and 684 healthy controls.
• Comparison of coagulation marker levels between groups and disease severity.
• Univariate and multivariate logistic regression for risk factor identification.
• Construction and validation of a risk prediction nomogram using ROC curve, Hosmer-Lemeshow test, and DCA.

Main Results:

• Seven coagulation markers showed significant differences between MS patients and controls.
• Platelet count (PLT) and plateletcrit (PCT) were higher in severe MS cases.
• Activated partial thromboplastin time (APTT) was elevated in severe blepharospasm.
• APTT and fibrinogen (Fib) demonstrated the highest diagnostic performance for MS.
• PT%, Fib, PDW, and INR were identified as independent risk factors for MS.
• The developed nomogram showed good discriminative performance (AUC ≈ 0.746-0.748) and accuracy.

Conclusions:

• Coagulation abnormalities play a potential role in the pathophysiology of Meige syndrome.
• The novel nomogram serves as an effective tool for MS risk screening and diagnosis.
• This research contributes to better understanding and management of Meige syndrome.