Literature DB >> 29877741

Association between Serum Immnunoglobulin E and Pterygium: A Population-Based Study from South Korea.

Tae Keun Yoo1, Sun Woong Kim2, Kyoung Yul Seo1.   

Abstract

PURPOSE: Several studies have shown that pterygium is associated with inflammation, angiogenesis, and fibrosis. However, it should be acknowledged that not enough is known about the association between immunoglobulin E (IgE) and pterygium. The present study was conducted to test the hypothesis that elevated serum IgE is associated with a greater prevalence of pterygium.
MATERIAL AND METHODS: A cross-sectional study was performed using data of 1,548 participants aged 30 years or older who were enrolled in the Korea National Health and Nutrition Examination Survey conducted in 2010. Multivariable logistic regression analysis was used to examine the relationship between pterygium and allergic conditions, including total serum IgE and allergen-specific serum IgE levels, after adjusting for potential confounding factors.
RESULTS: Participants with pterygium were more likely have increased IgE level (p = 0.009). After adjusting for potential confounders, the odds ratio (OR) for pterygium was greater in participants with higher total serum IgE levels (OR = 1.63; p = 0.047). Multivariable-adjusted ORs of pterygium across the tertile of increasing IgE were 1.00 (reference), 1.18, and 1.45, (P for linear trend = 0.038). Although the ORs for the upper two tertiles of cockroach and dog allergen-specific IgE were higher than those for the lowest tertile, allergen-specific serum IgE showed no clear association with pterygium.
CONCLUSIONS: Increased total serum IgE concentration is independently related to pterygium after adjusting for confounding factors. To the best of our knowledge, this study is the first research that reveals an association between serum IgE and pterygium.

Entities:  

Keywords:  Pterygium; South Korea; allergy; immunoglobulin E; inflammation

Mesh:

Substances:

Year:  2018        PMID: 29877741     DOI: 10.1080/02713683.2018.1484145

Source DB:  PubMed          Journal:  Curr Eye Res        ISSN: 0271-3683            Impact factor:   2.424


  3 in total

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Journal:  Int Ophthalmol       Date:  2022-08-10       Impact factor: 2.029

2.  Oculomics for sarcopenia prediction: a machine learning approach toward predictive, preventive, and personalized medicine.

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3.  Evaluation of the Systemic Inflammation in Patients with Pterygium: Monocyte-to- High-Density Lipoprotein Cholesterol Ratio and Hematologic Indexes of Inflammation.

Authors:  Selman Belviranli; Refik Oltulu; Ali O Gundogan; Enver Mirza; Mehmet Okka
Journal:  Middle East Afr J Ophthalmol       Date:  2022-04-30
  3 in total

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