Journal List > J Korean Ophthalmol Soc > v.60(11) > 1137325

Jung, Jeon, Park, and Park: Associations between Retinal Nerve Fiber Layer Defect and Systemic Indices According to the KNHNES 2010–2012

Abstract

Purpose

To investigate the associations between retinal nerve fiber layer (RNFL) defects and systemic factors in the Korean population.

Methods

Based on data from the 5th Korean National Health and Nutritional Examination Survey (2010–2012), 2,999 non-glaucomatous patients and 424 glaucoma patients were included. We compared body mass index (BMI), blood pressure, and blood test values according to the presence and location of RNFL defects in the groups and analyzed whether these defects were associated with various underlying diseases.

Results

In the non-glaucomatous group, RNFL defects were significantly and linearly related with BMI (p = 0.035), systolic blood pressure (p < 0.001), diastolic blood pressure (p = 0.018), fasting blood glucose (p < 0.001), HbA1c (p < 0.001), serum ferritin (p = 0.008), and RNFL defects were also significantly associated with diabetes mellitus (p = 0.001), hypertension (p < 0.001), dyslipidemia (p = 0.003), a history of myocardial infarction or angina (p = 0.037), and migraines (p = 0.004). In the glaucoma group, patients who had superior RNFL defects had a significantly lower systolic blood pressure (p = 0.034) than patients who had inferior RNFL defects. The other systemic indices did not differ significantly between these two subgroups. Superior RNFL defects were significantly associated with diabetes mellitus (p = 0.047) and a history of cerebrovascular accident (p = 0.031).

Conclusions

RNFL defects in both the non-glaucomatous and glaucoma groups were associated with systemic factors. We could identify that the possibility of RNFL defects can be deduced from these systemic abnormalities and active treatment is needed in abnormal systemic condition.

Figures and Tables

Table 1

Clinical characteristics and comparisons according to existence of RNFL defect in non-glaucomatous subjects

jkos-60-1089-i001

Values are presented as mean ± standard deviation or number (%) unless otherwise indicated.

RNFL = retinal nerve fiber layer; FHx = family history; SE = spherical equivalent; OPP = ocular perfusion pressure.

*Student t-test; chi square test.

Table 2

Comparisons of systemic risk factors according to existence of RNFL defect in non-glaucomatous subjects

jkos-60-1089-i002

Values are presented as mean ± standard deviation or number (%).

RNFL = retinal nerve fiber layer; BMI = body mass index; BP = blood pressure; HDL = high density lipoprotein; LDL = low density lipoprotein; Hb = hemoglobin; TIBC = total iron binding capacity; CVA = cerebrovascular accident; MI = myocardial infarction; CRF = chronic renal failure.

*Student t-test; chi square test.

Table 3

Factors associated with the presence of RNFL defect in non-glaucomatous subjects

jkos-60-1089-i003

RNFL = retinal nerve fiber layer; OR = odds ratio; CI = confidence intervals; BMI = body mass index; BP = blood pressure; HDL = high density lipoprotein; LDL = low density lipoprotein; Hb = hemoglobin; TIBC = total iron binding capacity; CVA = cerebrovascular accident; MI = myocardial infarction; CRF = chronic renal failure.

*Statistically significant. Statistics were analyzed in logistic regression. Factors with p < 0.10 were entered in the multivariate analysis.

Table 4

Clinical characteristics and comparisons according to location of RNFL defect in glaucoma subjects

jkos-60-1089-i004

Values are presented as mean ± standard deviation or number (%) unless otherwise indicated.

RNFL = retinal nerve fiber layer; FHx = family history; SE = spherical equivalent; CDR = cup-to-disc ratio; OPP = ocular perfusion pressure.

*Student t-test; chi square test.

Table 5

Comparisons of systemic risk factors according to location of RNFL defect in glaucoma subjects

jkos-60-1089-i005

Values are presented as mean ± standard deviation or number (%).

RNFL = retinal nerve fiber layer; BMI = body mass index; BP = blood pressure; HDL = high density lipoprotein; LDL = low density lipoprotein; Hb = hemoglobin; TIBC = total iron binding capacity; CVA = cerebrovascular accident; MI = myocardial infarction; CRF = chronic renal failure.

*Student t-test; chi square test.

Notes

Conflicts of Interest The authors have no conflicts to disclose.

References

1. Hoyt WF, Schlicke B, Eckelhoff RJ. Fundoscopic appearance of a nerve-fibre-bundle defect. Br J Ophthalmol. 1972; 56:577–583.
crossref
2. Tuulonen A, Lehtola J, Airaksinen PJ. Nerve fiber layer defects with normal visual fields. Do normal optic disc and normal visual field indicate absence of glaucomatous abnormality? Ophthalmology. 1993; 100:587–597.
3. Quigley HA, Addicks EM, Green WR. Optic nerve damage in human glaucoma. III. Quantitative correlation of nerve fiber loss and visual field defect in glaucoma, ischemic neuropathy, papilledema, and toxic neuropathy. Arch Ophthalmol. 1982; 100:135–146.
4. Mikelberg FS, Yidegiligne HM, Schulzer M. Optic nerve axon count and axon diameter in patients with ocular hypertension and normal visual fields. Ophthalmology. 1995; 102:342–348.
5. Leung CK, Medeiros FA, Zangwill LM, et al. American Chinese glaucoma imaging study: a comparison of the optic disc and retinal nerve fiber layer in detecting glaucomatous damage. Invest Ophthalmol Vis Sci. 2007; 48:2644–2652.
crossref
6. Medeiros FA, Vizzeri G, Zangwill LM, et al. Comparison of retinal nerve fiber layer and optic disc imaging for diagnosing glaucoma in patients suspected of having the disease. Ophthalmology. 2008; 115:1340–1346.
7. Wang D, Li Y, Wang C, et al. Localized retinal nerve fiber layer defects and stroke. Stroke. 2014; 45:1651–1656.
crossref
8. Shi R, Guo Z, Wang F, et al. Alterations in retinal nerve fiber layer thickness in early stages of diabetic retinopathy and potential risk factors. Curr Eye Res. 2018; 43:244–253.
9. Choi JA, Ko SH, Park YR, et al. Retinal nerve fiber layer loss is associated with urinary albumin excretion in patients with type 2 diabetes. Ophthalmology. 2015; 122:976–981.
crossref
10. Gangwani RA, Lee JW, Mo HY, et al. The correlation of retinal nerve fiber layer thickness with blood pressure in a Chinese hypertensive population. Medicine. 2015; 94:e947.
11. Li J. 10-year incidence and risk factors of localized retina nerve fiber layer defect in adult Chinese: the Beijing Eye Study. Invest Ophthalmol Vis Sci. 2014; 55:4286.
12. Jung KI, Kim SJ, Park CK. Systemic vascular risk factors for multiple retinal nerve fiber layer defects. Sci Rep. 2018; 8:7797.
13. Xu L, Zhou JQ, Wang S, et al. Localized retinal nerve fiber layer defects and arterial hypertension. Am J Hypertens. 2013; 26:511–517.
crossref
14. Na KI, Jeoung JW. Prevalence of retinal nerve fiber layer defects: The Korea National Health and Nutrition Examination Survey 2008-2012. PLoS One. 2017; 12:e0186032.
15. Park HA. The Korea national health and nutrition examination survey as a primary data source. Korean J Fam Med. 2013; 34:79.
crossref
16. Kim Y, Park S, Kim NS, Lee BK. Inappropriate survey design analysis of the Korean National Health and Nutrition Examination Survey may produce biased results. J Prev Med Public Health. 2013; 46:96–104.
17. Rim HT, Park SY, Yoon JS. Hormone Replacement Therapy and Eye Diseases: KNHANES IV. J Korean Ophthalmol Soc. 2012; 53:1445–1450.
crossref
18. Kim YK, Tumurbaatar U, Ohn YH, et al. Cerebrospinal fluid pressure and trans-lamina cribrosa pressure difference in open-angle glaucoma: KNHANES V. J Korean Ophthalmol Soc. 2016; 57:1392–1399.
19. Sommer A, Katz J, Quigley HA, et al. Clinically detectable nerve fiber atrophy precedes the onset of glaucomatous field loss. Arch Ophthalmol. 1991; 109:77–83.
crossref
20. Jeon SJ, Kwon JW, La TY, et al. Characteristics of retinal nerve fiber layer defect in nonglaucomatous eyes with type II diabetes. Invest Ophthalmol Vis Sci. 2016; 57:4008–4015.
21. Acir NO, Dadaci Z, Cetiner F, et al. Evaluation of the peripapillary retinal nerve fiber layer and ganglion cell-inner plexiform layer measurements in patients with iron deficiency anemia with optical coherence tomography. Cutan Ocul Toxicol. 2016; 35:131–136.
22. Srivastav K, Saxena S, Mahdi AA, et al. Increased serum urea and creatinine levels correlate with decreased retinal nerve fibre layer thickness in diabetic retinopathy. Biomarkers. 2015; 20:470–473.
23. Shiba C, Shiba T, Takahashi M, et al. Relationships among serum lipoprotein lipase mass, visceral fat, and retinal nerve fiber layer thickness. Graefes Arch Clin Exp Ophthalmol. 2015; 253:1883–1888.
crossref
24. Acer S, Oguzhanoglu A, Cetin EN, et al. Ocular pulse amplitude and retina nerve fiber layer thickness in migraine patients without aura. BMC Ophthalmol. 2016; 16:1.
25. Ozge G, Dogan D, Koylu MT, et al. Retina nerve fiber layer and choroidal thickness changes in obstructive sleep apnea syndrome. Postgrad Med. 2016; 128:317–322.
crossref
26. Günes A, Demirci S, TÖK L, et al. Evaluation of retinal nerve fiber layer thickness in Alzheimer disease using spectral-domain optical coherence tomography. Turk J Med Sci. 2015; 45:1094–1097.
27. Khawaja AP, Chan MP, Garway-Heath DF, et al. Associations with retinal nerve fiber layer measures in the EPIC-Norfolk Eye Study. Invest Ophthalmol Vis Sci. 2013; 54:5028–5034.
crossref
28. Lamparter J, Schmidtmann I, Schuster AK, et al. Association of ocular, cardiovascular, morphometric and lifestyle parameters with retinal nerve fibre layer thickness. PLoS One. 2018; 13:e0197682.
29. Dhasmana R, Sah S, Gupta N. Study of retinal nerve fibre layer thickness in patients with diabetes mellitus using fourier domain optical coherence tomography. J Clin Diagn Res. 2016; 10:NC05–NC09.
crossref
30. Tang J, Mohr S, Du YD, Kern TS. Non-uniform distribution of lesions and biochemical abnormalities within the retina of diabetic humans. Curr Eye Res. 2003; 27:7–13.
31. Hayreh SS. Blood flow in the optic nerve head and factors that may influence it. Prog Retin Eye Res. 2001; 20:595–624.
crossref
32. Flammer J, Mozaffarieh M. What is the present pathogenetic concept of glaucomatous optic neuropathy? Surv Ophthalmol. 2007; 52:S162–S173.
33. Gherghel D, Orgul S, Gugleta K, et al. Relationship between ocular perfusion pressure and retrobulbar blood flow in patients with glaucoma with progressive damage. Am J Ophthalmol. 2000; 130:597–605.
crossref
34. Zheng Y, Wong TY, Mitchell P, et al. Distribution of ocular perfusion pressure and its relationship with open-angle glaucoma: the singapore malay eye study. Invest Ophthalmol Vis Sci. 2010; 51:3399–3404.
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