2023
DOI: 10.1371/journal.pone.0282047
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Sex differences in the association between systemic oxidative stress status and optic nerve head blood flow in normal-tension glaucoma

Abstract: Purpose To investigate the association of systemic oxidative stress markers and optic nerve head (ONH) blood flow in normal-tension glaucoma (NTG) patients, as well as sex differences in this association. Methods This was a cross-sectional study of 235 eyes with NTG of 134 patients (56 male, 78 female; mean age, 60.9±14.1 years). Laser speckle flowgraphy (LSFG) was used to measure ONH blood flow (mean blur rate in the tissue area of the ONH; MBR-T) and LSFG pulse-waveform parameters, including flow accelerat… Show more

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Cited by 3 publications
(2 citation statements)
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References 54 publications
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“…The parameters were selected based on various factors that we have previously reported that affect visual acuity and that we routinely measure in our outpatient clinic, including aging, 12 corneal thickness, 13 CH, 15 ocular blood flow, 12 blood pressure, 13 pulse rate, 12 and oxidative stress, as represented by dROM level and BAP. 14 , 23 The results showed that age, BAP, CH, and MBR-T were significant parameters even after conducting a multiple linear regression analysis. These factors have been reported as glaucoma risk factors.…”
Section: Discussionmentioning
confidence: 95%
“…The parameters were selected based on various factors that we have previously reported that affect visual acuity and that we routinely measure in our outpatient clinic, including aging, 12 corneal thickness, 13 CH, 15 ocular blood flow, 12 blood pressure, 13 pulse rate, 12 and oxidative stress, as represented by dROM level and BAP. 14 , 23 The results showed that age, BAP, CH, and MBR-T were significant parameters even after conducting a multiple linear regression analysis. These factors have been reported as glaucoma risk factors.…”
Section: Discussionmentioning
confidence: 95%
“…All data are presented as the mean ± SD. A multivariable linear mixed-effects model was employed, setting the “subject” variable as a random effect [ 22 24 ], to evaluate the association of IOP dynamics during the follow-up term and DRPT with other variables while adjusting for potential confounding factors, including age, gender, DRPT baseline IOP, axial length, and the number of eyedrops. All statistical analyses were conducted using R software version 4.1.1 (R Core Team 2021).…”
Section: Methodsmentioning
confidence: 99%