Retinal nerve fibre layer thickness in a general population in Iran

Hashemi, Hassan; Khabazkhoob, Mehdi; Nabovati, Payam; Yekta, Abbasali; Emamian, Mohammad Hassan; Fotouhi, Akbar

doi:10.1111/ceo.12849

Cited by 4 publications

(4 citation statements)

References 58 publications

(66 reference statements)

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“…A point to consider is the difference in thinning rate which varies from 0.15 to 0.56 μ per year among different studies. 7 11 13 21 24 34 Age-related thinning rate of the overall pRNFLT in the present study (0.15 μ/per year) was similar to the studies with a wide age range (i.e., studies by Khawaja et al . [0.15 μ/per year] 24 and Parikh et al .…”

Section: Discussionsupporting

confidence: 90%

“… 6 Therefore, various population-based studies have examined the distribution of pRNFLT in different populations. 7 Accordingly, most OCT instruments are equipped with normative reference databases to facilitate clinical pRNFLT interpretation. However, most previous studies on pRNFLT distribution had a wide age range and were mostly related to Western or East Asian populations.…”

Section: Introductionmentioning

confidence: 99%

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Peripapillary Retinal Nerve Fiber Layer Thickness and its Ocular and Systemic Determinants in an Elderly Population: A Population-Based Study

Rafati,

Khabazkhoob,

Mortazavi

et al. 2023

Journal of Current Ophthalmology

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Purpose: To determine the distribution, ocular, and systemic determinants of peripapillary retinal nerve fiber layer thickness (pRNFLT) using spectral-domain optical coherence tomography (SD-OCT) in an elderly population. Methods: This report is a part of the Tehran Geriatric Eye Study, a population-based cross-sectional study conducted in Tehran, the capital of Iran. The study population was all residents aged 60 years and above in Tehran. The sampling was performed using a multi-stage stratified random cluster sampling method. All study participants underwent ocular examination (including measurement of visual acuity, objective and subjective refraction, and slit-lamp biomicroscopy), anterior segment imaging using Pentacam HR, and ocular biometry using IOLMaster 500. The OCT imaging was performed for a random subsample (1307 individuals) using Spectralis SD-OCT. Results: Two thousand two hundred and forty-six eyes of 1189 individuals were analyzed for this report. Of these, 691 (58.1%) were female, and the mean age of the participants was 67.3 ± 5.9 years (60–94 years). The mean overall pRNFLT was 98.6 μ (95% confidence interval [CI]: 98.0–99.3). There was a statistically significant difference in pRNFLT between different quadrants; the highest and lowest mean pRNFLT was related to inferior and temporal quadrants, respectively (P < 0.001). The multiple generalized estimating equation model showed that older age (coefficient: −0.15 [95% CI: −0.24 to −0.06], P = 0.001), diabetes (coefficient: −1.69 [95% CI: −2.82 to −0.55], P = 0.004), and longer axial length (coefficient: −0.52 [95% CI: −0.83 to −0.22], P < 0.001) were significantly associated with a decreased overall pRNFLT. Higher body mass index was significantly related to an increased overall pRNFLT (coefficient: 0.19 [95% CI: 0.07 to 0.30], P = 0.002). Conclusions: The results of the present study can be used as a reference database for pRNFLT in the elderly population. Considering ocular and systemic determinants of pRNFLT is necessary for correct clinical interpretation of this parameter.

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

Peripapillary Retinal Nerve Fiber Layer Thickness and its Ocular and Systemic Determinants in an Elderly Population: A Population-Based Study

Rafati,

Khabazkhoob,

Mortazavi

et al. 2023

Journal of Current Ophthalmology

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“…Therefore, the international standard RNFL database is not suitable for the application in the Chinese population, which may bring about a lot of missed diagnosis (taking the glaucoma as the normal one), or misdiagnosis (taking normal one as glaucoma) potentially, suggesting the need to establish Age is one of the important factors affecting the distribution of RNFL thickness, which has been confirmed in several studies. In the study conducted by Hashemi et al, the overall average RNFL thickness as well as the mean thickness of all quadrants went down dramatically with age, 49 while the decrease of RNFL thickness 8 25 was in connection with the ageing in other studies also. In addition to OCT studies, some studies have shown age-related RNFL thinning by histological analysis.…”

Section: Clinicalmentioning

confidence: 82%

Retinal nerve fibre layer thickness measured with SD-OCT in a population-based study: the Handan Eye Study

Chen

et al. 2022

Br J Ophthalmol

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PurposeTo examine the normative profile of retinal nerve fibre layer (RNFL) thickness and ocular parameters based on spectral-domain optical coherence tomography (SD-OCT) and its associations with related parameters among the Chinese population.MethodsThis population-based cohort Handan Eye Study (HES) recruited participants aged≥30 years. All subjects underwent a standardised ophthalmic examination. Peripapillary RNFL thickness was obtained using SD-OCT. Mixed linear models were adopted to evaluate the correlation of RNFL thickness with ocular parameters as well as systemic factors. R V.3.6.1 software was used for statistical analysis.Results3509 subjects (7024 eyes) with the average age of 55.54±10.37 were collected in this analysis. Overall mean RNFL thickness measured was 113.46±10.90 µm, and the thickest quadrant of parapapillary RNFL was the inferior quadrant, followed by the superior quadrant, the nasal quadrant and the temporal quadrant. In the multivariate linear regression model, thinner RNFL thickness was remarkable association with male (p<0.001), older age (p<0.001), increased body mass index (>30, p=0.018), absence of diabetes (p=0.009), history of cataract surgery (p=0.001), higher intraocular pressure (p=0.007), lower spherical equivalent (p<0.001) and increased axial length (p=0.048).ConclusionsIn non-glaucoma individuals, this difference of RNFL thickness in Chinese population should be noted in making disease diagnoses. Meanwhile, multiple ocular and systemic factors are closely related to the thickness of RNFL. Our findings further emphasise the need to demonstrate ethnic differences in RNFL thickness and the specificity of associated ocular and systemic factors, as well as to develop better normative databases worldwide.Trial registration numberHES was registered in Chinese Clinical Trial Registry website, and the registry number was ChiCTR-EOC-17013214.

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“…However, these researchers did not find any relationship between gender and RNFL thickness, which corroborated the results of previous studies [ 23 ]. However, in recent years, a study conducted in Iran concluded that males tended to have thinner RNFLs than females [ 24 ]. A population-based study found that females had a smaller angle between the peak RNFL thickness of the superior-temporal and inferior-temporal sectors [ 25 ].…”

Section: Gendermentioning

confidence: 99%

Factors Associated with Changes in Peripapillary Retinal Nerve Fibre Layer Thickness in Healthy Myopic Eyes

Xue

et al. 2021

Journal of Ophthalmology

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Myopic people face an elevated risk of primary open angle glaucoma. Changes in the fundus in people with high myopia often lead to misdiagnosis of glaucoma, as this condition has many clinical signs in common with myopia, making the diagnosis of glaucoma more challenging. Compared to reduction of the visual field, a decrease in retinal nerve fibre layer (RNFL) thickness occurs earlier in glaucoma, which is widely considered useful for distinguishing between these conditions. With the development of optical coherence tomography (OCT), RNFL thickness can be measured with good reproducibility. According to previous studies, this variable is not only affected by axial length but also related to the patient’s age, gender, ethnicity, optic disc area, and retinal blood flow in myopia. Herein, we intend to summarize the factors relevant to the RNFL in myopia to reduce the false-positive rate of glaucoma diagnosis and facilitate early prevention of myopia.

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Retinal nerve fibre layer thickness in a general population in Iran

Cited by 4 publications

References 58 publications

Peripapillary Retinal Nerve Fiber Layer Thickness and its Ocular and Systemic Determinants in an Elderly Population: A Population-Based Study

Peripapillary Retinal Nerve Fiber Layer Thickness and its Ocular and Systemic Determinants in an Elderly Population: A Population-Based Study

Retinal nerve fibre layer thickness measured with SD-OCT in a population-based study: the Handan Eye Study

Factors Associated with Changes in Peripapillary Retinal Nerve Fibre Layer Thickness in Healthy Myopic Eyes

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