Utility of isolated-check visual evoked potential technique in dysthyroid optic neuropathy

Autor: Ban Luo, Rong Liu, Shanluxi Wang, Weikun Hu, Yunping Li, Boding Tong, Hong Zhang, Xin Qi
Rok vydání: 2023
Předmět:
Zdroj: Graefe's Archive for Clinical and Experimental Ophthalmology.
ISSN: 1435-702X
0721-832X
DOI: 10.1007/s00417-023-05975-9
Popis: Purpose To analyze the utility of isolated-check visual evoked potential (icVEP) for discriminating between eyes with dysthyroid optic neuropathy (DON) and eyes with thyroid-associated ophthalmopathy (TAO) but not DON. Methods Forty-three eyes with TAO but not DON (as non-DON), fifty-three eyes with DON, and sixty healthy eyes (as controls) were included. Comprehensive ophthalmic examinations, including best-corrected visual acuity, refraction, color vision test, intraocular pressure measurement, slit-lamp biomicroscopy, ophthalmoscopy, RAPD, exophthalmometry measurements, pVEP test, icVEP test, standard automated perimetry, and clinical activity score classification of TAO, as well as demographic information, were collected and analyzed. Results In the DON group, the signal-to-noise ratio (SNR) value of icVEPs decreased significantly compared with that of the non-DON group as well as control (p p r = − 0.9 ~ − 0.6), papilledema (Y/N) (p r = − 0.8 ~ 0.4) and DON (Y/N) (p r = − 0.7 ~ − 0.5). The 8% DOM of icVEP had the largest area under the receiver operating characteristic curve (AUC) (0.842) for discriminating DON from non-DONs. Meanwhile, decision curve analysis (DCA) showed that patients clinically benefit most from 8% DOM of icVEP. Furthermore, the 8% DOM of icVEP combing with papilledema (Y/N) and BCVA (Model 1) has significantly larger AUC than the 8% DOM of icVEP (p = 0.0364), and has better clinical benefit in DCA analysis. Conclusions The SNR of 8% DOM from icVEP may represent a significant ancillary diagnostic method for DON detection. Furthermore, icVEP combined with papilledema (Y/N) and BCVA should be considered as a diagnostic model in future clinical practice.
Databáze: OpenAIRE
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