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1.
PLoS One ; 17(11): e0277055, 2022.
Article in English | MEDLINE | ID: mdl-36395261

ABSTRACT

Graves' ophthalmopathy (GO) is a complex inflammatory condition affecting the orbit and is often associated with Graves' disease (GD). This study aims to determine the levels of thyroid-stimulating immunoglobulin (TSI) and thyroid-stimulating hormone receptor autoantibody (TSHR-ab) in the serum of patients with GO, compare it with the GD, and determine whether there is a correlation with the clinical course of GO. The cross-sectional study included 82 patients with GO, 81 patients with GD, and 75 healthy subjects. The ocular manifestations of GO were identified and evaluated by the clinical activity score (CAS) and severity of GO using the European Group of Graves' Orbitopathy (EUGOGO). TSI and TSHR-ab levels in the serum of participants were determined with ELISA kits and correlated with clinical findings. A total of 238 participant's data were analyzed. There were 14 patients (17%) with unilateral GO. The most common ocular signs were eyelid retraction 68 (82.3%) and proptosis 61 (74.4%). The mean CAS score was 2.65±1.64 in GO patients and was higher in men than women (P = 0.008). The mean of TSI was 37.95±35.41 in GO, 14.16±15.67 in GD, and 4.33±2.94 in healthy controls (P<0.0001). The TSI was significantly higher in patients with GO than in those with GD (P<0.0001). There were no correlations between TSI and TSHR-ab levels and CAS scores. However, we observed a correlation between the TSI level and the severity of GO (P = 0.023). The area under the ROC curve (AUC) of TSI was 0.933 and selected 14.1 IU/ml was the optimal cutoff value (98.78% of sensitivity, 83.97% of specificity). Our study showed that TSI is significantly related to GO and the severity of GO. Therefore, TSI can be used as a predictor of severe GO to help in prognostication, follow-up and treatment planning.


Subject(s)
Graves Disease , Graves Ophthalmopathy , Male , Animals , Humans , Female , Immunoglobulins, Thyroid-Stimulating , Cross-Sectional Studies , Receptors, Thyrotropin , Graves Disease/complications , Graves Disease/drug therapy , Autoantibodies , Gerbillinae
2.
Ophthalmic Epidemiol ; 18(5): 217-25, 2011 Oct.
Article in English | MEDLINE | ID: mdl-21961511

ABSTRACT

PURPOSE: To examine the relationship between education, other risk factors and incident primary angle closure glaucoma (PACG). METHOD: Glaucoma was excluded in a group of 4597 Mongolian volunteers in 1999. After 6 years, 1892 traced participants had full ophthalmic examination, dilated disc photographs and agreed to complete a questionnaire on socio-economic status. PACG was diagnosed using both structural and functional evidence from objective grading of paired disc photographs, follow up visual fields and clinical examination. Ophthalmic examination included van Herick grading, Goldmann intraocular pressure (IOP), gonioscopy, lens opacity grading and dilated disc examination. Central anterior chamber depth, lens thickness and axial length were recorded using ultrasound A scan mounted on a slitlamp. Education level was assessed using national census categories. RESULTS: PACG was diagnosed in 29 participants (6 year incidence = 1.53%, 95% confidence interval (CI) = 1.03-2.19%). In univariate analysis, risk factors for incident PACG included presence of refractive error, narrow van Herick grading of ≤15%, narrower average Shaffer grading, higher IOP, larger cup disc ratio and lower levels of education. In multivariate analysis, adjusted for age, sex, Shaffer grading, refractive error and IOP, those with no formal education were approximately 7 times more likely to develop PACG compared to those with >8 years of formal schooling (OR = 7.27, 95% CI = 2.73-19.38). CONCLUSIONS: People with lower levels of education have a higher risk of incident PACG, independent of age, sex, IOP and axial length.


Subject(s)
Educational Status , Glaucoma, Angle-Closure/epidemiology , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Mongolia/epidemiology , Prevalence , Regression Analysis , Risk Factors
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