Predicting glucocorticoid effectiveness in thyroid eye disease: combined value from serological lipid metabolism and an orbital MRI parameter
Authors' conclusion
Serological lipid metabolism, combined with an orbital MRI-derived parameter, was a useful marker for predicting the effectiveness of GCs in patients with active and moderate-to-severe TED.
Study context
- Population
- Patients with active and moderate-to-severe thyroid eye disease (TED) treated with glucocorticoid (GC) therapy
- Participants
- 46 patients
- Exposure
- GC-effective vs GC-ineffective TED
- GC-effectiven = 29
- GC-ineffectiven = 17reference
- Outcome
- Prediction of GC effectiveness by serological lipid metabolism and orbital MRI EOM-SIRmin
- Follow-up
- Before GC therapy
Main finding
As reported in the abstract
Predictive performance for GC-effective TED
- Lower serum total cholesterol in GC-effective vs GC-ineffective
- P = 0.006
- Lower serum LDL-C in GC-effective vs GC-ineffective
- P = 0.019
- Higher EOM-SIRmin in GC-effective vs GC-ineffective
- P = 0.005
- Shorter disease duration in GC-effective vs GC-ineffective
- P = 0.017
- Serum total cholesterol independent predictor (multivariate), OR
- 0.253 (P < 0.05)
- EOM-SIRmin independent predictor (multivariate), OR per 0.1 units
- 2.036 (P < 0.05)
- Combined total cholesterol ≤4.8 mmol/L and EOM-SIRmin ≥ 1.12: AUC
- 0.834
- Combined: sensitivity
- 75.9%
- Combined: specificity
- 82.4%
- Combined better than EOM-SIRmin alone
- P = 0.031
Observational data: associations, not effects.
Original publication
Predicting glucocorticoid effectiveness in thyroid eye disease: combined value from serological lipid metabolism and an orbital MRI parameter. Eur Thyroid J. Published 14 February 2024. doi:10.
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