New model predicts the course of inactive thyroid eye disease
A predictive model has been developed to identify potential risk factors influencing the progression of inactive thyroid eye disease (TED), according to a study.
The study analyzed 107 patients with inactive TED, revealing that factors such as being male, having a history of smoking, untreated TED, and a duration of TED greater than 12 months were identified as independent risk factors for progression. The predictive model, incorporating these factors, demonstrated a promising AUC score of 0.783.
This model has the potential to assist clinicians in making informed decisions regarding immunosuppressive therapy and providing prognostic predictions for inactive TED patients, particularly those preparing for surgery.
Qi L, Song X, Li Y, Sun J, et al. Predictive model for the progression of inactive thyroid eye disease: a retrospective study. Endocrine. 2023;doi: 10.1007/s12020-023-03582-6. Epub ahead of print. PMID: 37936006.