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Fatty Liver Is an Independent Risk Factor for Elevated Intraocular Pressure.


ABSTRACT: Elevated intraocular pressure (EIOP) is a major risk factor for glaucoma. Both EIOP and fatty liver share metabolic risk factors, which implies a possible link between EIOP and fatty liver. We aimed to determine the association of fatty liver with EIOP and estimate the effect of fatty liver on EIOP directly and indirectly through insulin resistance. Data from 16,240 adults who underwent health examinations at a single center were analyzed. Multiple logistic regression analyses revealed that fully adjusted odds ratio (OR) and 95% confidence interval (CI) for EIOP in the fatty liver group compared to the non-fatty liver group were 1.36 and 1.08-1.71. Alcoholic liver disease was associated with EIOP in subgroup analysis (OR = 1.80, 95% CI: 1.27-2.56). There was a linear dose-response relationship between EIOP and the severity of fatty liver. Mediation analysis revealed that the total effect of fatty liver on intraocular pressure was 0.90 (0.81-0.99), with a direct effect of 0.81 (0.71-0.90) and an indirect effect of 0.09 (0.06-0.11) through insulin resistance. Fatty liver is independently associated with EIOP. It primarily has a direct effect on intraocular pressure. This suggests that evaluation of EIOP should be considered in patients with fatty liver.

SUBMITTER: Lee JH 

PROVIDER: S-EPMC9657431 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Fatty Liver Is an Independent Risk Factor for Elevated Intraocular Pressure.

Lee Jun-Hyuk JH   Kwon Yu-Jin YJ   Lee Hye Sun HS   Han Jee Hye JH   Joung Boyoung B   Kim Sung Jin SJ  

Nutrients 20221023 21


Elevated intraocular pressure (EIOP) is a major risk factor for glaucoma. Both EIOP and fatty liver share metabolic risk factors, which implies a possible link between EIOP and fatty liver. We aimed to determine the association of fatty liver with EIOP and estimate the effect of fatty liver on EIOP directly and indirectly through insulin resistance. Data from 16,240 adults who underwent health examinations at a single center were analyzed. Multiple logistic regression analyses revealed that full  ...[more]

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