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   Table of Contents      
EDITORIAL
Year : 2013  |  Volume : 61  |  Issue : 12  |  Page : 695-697

Advances in technology helps in early detection of vision disorders


Editor, Indian Journal of Ophthalmology, Chairman, Managing Director, Aditya Jyot Eye Hospital Pvt Ltd, Wadala (W), Mumbai, Maharashtra, India

Date of Web Publication9-Jan-2014

Correspondence Address:
Sundaram Natarajan
Editor, Indian Journal of Ophthalmology, Chairman, Managing Director, Aditya Jyot Eye Hospital Pvt Ltd, Wadala (W), Mumbai, Maharashtra
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0301-4738.124733

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How to cite this article:
Natarajan S. Advances in technology helps in early detection of vision disorders. Indian J Ophthalmol 2013;61:695-7

How to cite this URL:
Natarajan S. Advances in technology helps in early detection of vision disorders. Indian J Ophthalmol [serial online] 2013 [cited 2019 Oct 16];61:695-7. Available from: http://www.ijo.in/text.asp?2013/61/12/695/124733

Dear Friends,

We come to the end of another eventful year with successful publication of monthly issues here in the Indian Journal of Ophthalmology (IJO).

This issue deals with several interesting subjects, one of them being "Dietary and lifestyle risk factors associated with age-related macular degeneration (AMD)" by Nidhi et al.

AMD is a progressively debilitating degeneration of the macula that can lead to permanent blindness typically occurring in older adults (age > 50 years). Curative options for AMD are limited, which necessarily means that prevention and early detection combined with management of factors that contribute to AMD remain the only defense against this medical condition.

Significant evaluations of AMD have been achieved via the age-related eye diseases study (AREDS) study commissioned by the National Eye Institute in the USA. The predominant factors that contribute toward the development of AMD are smoking and hypertension. Other lifestyle factors that contribute to the development and progression of AMD include alcohol consumption, hyperopia, lens opacities, female gender, Caucasian ethnicity, obesity (including high body mass index), and lesser education status. Prescription usage of thyroid hormones and antacids may also be associated with the development of geographic AMD in some individuals. [1],[2],[3],[4],[5],[6],[7]

Interventional strategies emergent from this large-scale clinical trial have mandated dietary supplementation with beta-carotene, vitamins C and E, copper, and zinc (collectively known as the AREDS formulation). Intake of omega-3 polyunsaturated fatty acids can also help to lower the risk of development/progression of AMD from having a limited number of drusen to central geographic atrophy. [2],[3]

Consumption of long-chain omega-3 polyunsaturated fatty acids can lower the risk of progression of AMD by 30%. The AREDS formula has been modified to include supplementation with lutein, zeaxanthin, and long-chain omega-3 polyunsaturated fatty acids, based on the findings of the AREDS2 study. [2] Consumption of white meat such as chicken was shown to be associated with a lower risk of development of AMD, in an Australian study. [8]

Studies have also demonstrated a correlation between presence of age-related eye diseases and resultant visual impairment, physical impairment and diminished cognitive abilities and mental health. [9] Although a clear cut causal relationship between all three conditions is not clear, the association does indicate the importance of physical activity and access to neuropsychological care to halt the progression of AMD in elderly patients.

A recent hospital-based survey of 3549 patients, reported in this issue, has confirmed these findings. In this study, doctors at Sushrut Eye Hospital, Mysore, India, have confirmed that higher odds of suffering from AMD are associated with advanced age, alcoholism, smoking, and co-morbidities, such as diabetes, in the Indian population. A positive association between the dietary intake of carotenoids and reduced risk for development of AMD has also been noted by these authors. [10]

The results of this study are consistent with those from studies conducted in Caucasian populations in the world. The risk factors for AMD in the Indian cohort of this study are similar to those recorded from other ethnic groups [10] suggesting that common precipitator molecular mechanisms may be at work.

However, in contrast with results from Caucasian studies, the risk of developing AMD with increasing age was higher for men than for women in this study. The present study has not shed light on the reasons for these differences.

Cessation of smoking should be advised to patients diagnosed with AMD. However, a UK-based study has shown that although ophthalmologists and optometrists advocate inclusion of dietary supplements, advice related to cessation of smoking is not adequately delivered. [11]

In the absence of curative options for geographic as well as neo-vascular AMD, modifications of diet and lifestyle remain the best options for prevention as well as management of AMD in elderly individuals. A recent study by the AREDS2 HOME study research group showed that persons at high risk for CNV benefit from the home monitoring strategy, which aims at earlier detection of CNV development. This strategy improves outcome after intravitreal anti-VEGF therapy in the form of better visual acuity. [12]

In India, another condition that affects nearly 11-12 million people is glaucoma, which, if undetected, can eventually lead to blindness. Four epidemiological studies (The Andhra Pradesh Eye Disease Study (APEDS), The Aravind Comprehensive Eye Survey (ACES), the Chennai Glaucoma Study (CGS), and the Vellore Eye Study (VES)) have identified 11.9 million cases of glaucoma in central India alone. [13],[14] These statistics indicate a low rate of detection and diagnosis for glaucoma, although individuals examined in these surveys had undergone prior ophthalmic evaluation. The high rate of prevalence of glaucoma mandates the need for enhanced detection of glaucoma in India.

Assessment of the peripapillary retinal nerve fiber layer (RNFL) thickness is an accurate method of identifying neuronal damage even in normal tension glaucomatous eyes. Typically, the assessment of the RNFL can be made by using techniques such as optical coherence tomography (OCT), scanning laser polarimetry using GDx VCC (variable corneal compensation), and Heidelberg retinal tomograph. These noninvasive techniques can provide accurate estimations of RNFL and help to adjudge incipient vision loss problems. [15],[16],[17]

In India, glaucoma is also the cause of childhood blindness in 2.5% of the population. Since the prevention of blindness and reducing the progression of glaucoma hinges on early detection, assessment of the thickness of RNFL is a vital parameter. [18]

In this issue of IJO, Drs. Khamar, Vasavada, Trivedi, Shah, and Thomas have presented their assessments of RNFL thickness in normal Indian children. Data presented in their paper included 200 children (average age 8.6 years), and shows that the superior average and inferior average values for RNFL thickness were similar and were not dependent on gender-based differences. The TSNIT (temporal-superior-nasal-inferior-temporal) and nerve fiber index (NFI) parameters also did not vary between male and female children. [19]

These results are similar to measurements made in adult individuals in other ethnic groups as well. A small cohort size is a definite drawback of the study. Assessment of parameters from a larger cohort that includes special ocular conditions, with the aim of establishing a database of reference values, is necessary. [19]

However, the study has definitely provided some reference values to compare against when assessing conditions such as incipient glaucoma or vitamin B12 deficiency, both of which can be presented in the form of reduced RNFL thickness. Specifically, for the treatment of glaucoma, these measurements from normal children can be used for reference in order to mandate periodic ophthalmic evaluation and patient guidance.

 
  References Top

1.
Group AR, Chew EY, Clemons T, SanGiovanni JP, Danis R, Domalpally A, et al. The Age-Related Eye Disease Study 2 (AREDS2): Study design and baseline characteristics (AREDS2 report number 1). Ophthalmology 2012;119:2282-9.  Back to cited text no. 1
    
2.
Age-Related Eye Disease Study Research G, SanGiovanni JP, Chew EY, Clemons TE, Ferris FL 3 rd , Gensler G, et al. The relationship of dietary carotenoid and vitamin A, E, and C intake with age-related macular degeneration in a case-control study: AREDS Report No. 22. Arch Ophthalmol 2007;125:1225-32.  Back to cited text no. 2
    
3.
Age-Related Eye Disease Study Research G. The effect of five-year zinc supplementation on serum zinc, serum cholesterol and hematocrit in persons randomly assigned to treatment group in the age-related eye disease study: AREDS Report No. 7. J Nutr 2002;132:697-702.  Back to cited text no. 3
    
4.
Age-Related Eye Disease Study Research G. A randomized, placebo-controlled, clinical trial of high-dose supplementation with vitamins C and E and beta carotene for age-related cataract and vision loss: AREDS report no. 9. Arch Ophthalmol 2001;119:1439-52.  Back to cited text no. 4
    
5.
Age-Related Eye Disease Study Research G. A randomized, placebo-controlled, clinical trial of high-dose supplementation with vitamins C and E, beta carotene, and zinc for age-related macular degeneration and vision loss: AREDS report no. 8. Arch Ophthalmol 2001;119:1417-36.  Back to cited text no. 5
    
6.
Age-Related Eye Disease Study Research G. Risk factors associated with age-related macular degeneration. A case-control study in the age-related eye disease study: Age-Related Eye Disease Study Report Number 3. Ophthalmology 2000;107:2224-32.  Back to cited text no. 6
    
7.
Age-Related Eye Disease Study Research G. The Age-Related Eye Disease Study (AREDS): design implications. AREDS report no. 1. Control Clin Trials 1999;20:573-600.  Back to cited text no. 7
    
8.
Chong EW, Simpson JA, Robman LD, Hodge AM, Aung KZ, English DR, et al. Red meat and chicken consumption and its association with age-related macular degeneration. Am J Epidemiol 2009;169:867-76.  Back to cited text no. 8
[PUBMED]    
9.
Li Y, Crews JE, Elam-Evans LD, Fan AZ, Zhang X, Elliott AF, et al. Visual impairment and health-related quality of life among elderly adults with age-related eye diseases. Qual Life Res 2011;20:845-52.  Back to cited text no. 9
[PUBMED]    
10.
Nidhi B, Mamatha BS, Padmaprabhu CA, Pallavi P, Vallikannan B. Dietary and lifestyle risk factors associated with age-related macular degeneration: A hospital based study. Indian J Ophthalmol 2013;61:722-7.  Back to cited text no. 10
[PUBMED]  Medknow Journal  
11.
Lawrenson JG, Evans JR. Advice about diet and smoking for people with or at risk of age-related macular degeneration: A cross-sectional survey of eye care professionals in the UK. BMC Public Health 2013;13:564.  Back to cited text no. 11
[PUBMED]    
12.
The AREDS2-HOME Study Research Group, Chew WC, Clemons TE, Bressler SB, Elman MJ, Danis RP, et al. Randomized Trial of a Home Monitoring System for Early Detection of Choroidal Neovascularization Home Monitoring of the Eye (HOME) Study. Ophthalmology [Preprint].  Back to cited text no. 12
    
13.
Sekhar GC, Prasad K, Dandona R, John RK, Dandona L. Planimetric optic disc parameters in normal eyes: A population-based study in South India. Indian J Ophthalmol 2001;49:19-23.  Back to cited text no. 13
[PUBMED]  Medknow Journal  
14.
George R, Ve RS, Vijaya L. Glaucoma in India: Estimated burden of disease. J Glaucoma 2010;19:391-7.  Back to cited text no. 14
[PUBMED]    
15.
Kremmer S, Keienburg M, Anastassiou G, Schallenberg M, Steuhl KP, Selbach JM. Scanning laser topography and scanning laser polarimetry: Comparing both imaging methods at same distances from the optic nerve head. Open Ophthalmol J 2012;6:6-16.  Back to cited text no. 15
    
16.
Mistlberger A, Liebmann JM, Greenfield DS, Pons ME, Hoh ST, Ishikawa H, et al. Heidelberg retina tomography and optical coherence tomography in normal, ocular-hypertensive, and glaucomatous eyes. Ophthalmology 1999;106:2027-32.  Back to cited text no. 16
[PUBMED]    
17.
Mistlberger A, Sitte S, Hommer A, Emesz M, Dengg S, Hitzl W, et al. Scanning laser polarimetry (SLP) for optic nerve head drusen. Int Ophthalmol 2001;23:233-7.  Back to cited text no. 17
[PUBMED]    
18.
Pawar N, Maheshwari D, Ravindran M, Ramakrishnan R. Retinal nerve fiber layer thickness in normal Indian pediatric population measured with optical coherence tomography. Indian J Ophthalmol 2013 [In Press].  Back to cited text no. 18
    
19.
Khamar MB, Vasavada V, Shah SK, Trivedi RH, Thomas R. Assessment of peripapillary retinal nerve fiber layer thickness using scanning laser polarimetry (GDx VCC) in normal Indian children. Indian J Ophthalmol 2013;61:728-33.  Back to cited text no. 19
[PUBMED]  Medknow Journal  




 

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