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Twelve weeks treatment outcome of omega-3 fatty acid in computer vision syndrome dry eye: an open label, randomized, controlled pilot study.


The incidence of dry eye is as high as 90% in persons using computer for only 3 hrs. a day for a year. (1,2) The magnitude of the problem is going to increase by leaps and bounds as our requirement for the use of computers has no limits. Dry eye has far reaching effects on our lifestyle.

A number of studies have made it abundantly clear, now that inflammation and disorder of immune system are the root causes responsible for reduction in tear secretion. (3,4,5,6) It is not only the quantity of tear secretion, but also abnormalities of its quality that are responsible for the symptoms of dry eye. (7,8) Thus, we need a strategy that should maintain the inflammatory and immune status of the ocular surface apart from maintaining the trilaminar lubrication barrier; its volume, stability and chemical composition, i.e. maintain and repair the ocular surface round the clock without any untoward side effects.

Lubricants, our mainstay of treatment for Dry Eye with their short duration of action cannot prevent and halt the progress of the disease. Omega 3 fatty acids (PUFA-Polyunsaturated Fatty Acids) with their anti-inflammatory, immuno-modulator and anti-apoptotic properties can be of great help in addressing this problem. (9,10)

Mechanism of action of EFA (Essential Fatty Acids) is better understood by their interactions (Figure 1). (11,12,13) Short chain EFA-Omega (6) (Linoleic Acid) and Omega 3 (Alpha linolenic acid) with the help of enzymes desaturase and elongase are converted to Long Chain Fatty Acids, AAArachidonic Acid, GLA-Gamma linolenic acid, DGLA-DihomoGLA, EPA-Eicosapentaenoic Acid, DHA- Docosahexaenoic Acid which are further converted to eicosanoids (PGProstaglandins, PGI-Prostacyclins, TX-Thromboxane by the enzyme Cyclooxygenase and LT-Leukotrienes by the enzyme15-Lypoxygenase). Eicosanoids of AA (PGE 2, LT-B4) result in pain and inflammation and act as messengers for the immune system to protect the body from further damage. Once the message is conveyed the messengers are turned off by eicosanoids from GLA, EPA and DHA (PGE 1, PGI 3 and LT-B5) that are less inflammatory, inert or anti-inflammatory. Less dietary intake of GLA, EPA and DHA leads to chronic inflammation. This inflammation can be ameliorated by stepping up the intake of these Fatty Acids, which interact with AA at 3 levels. (14)

1. Displacement-Increased dietary intake of omega 3 displace LA and thereby AA.

2. Competitive inhibition-EPA and DGLA compete for COX and LOX, thereby reducing the output of AA eicosanoids.

3. Counteraction--DGLA and EPA derived eicosanoids directly counteract their AA derived counterparts.


EFA-Essential Fatty Acids, LA-Linoleic Acid, ALA-Alpha Linolenic Acid, AA-Arachidonic Acid, GLA-Gamma Linolenic Acid, DGLA-Dihomo-GLA, EPA-Eicosapentaenoic Acid, DHA-Docosahexaenoic Acid, COX-Cyclooxygenase, LOXLypoxygenase, PG-Prostaglandins, PGI-Prostacyclins, TXThromboxane, LT-Leukotrienes.

Apart from Eicosanoid dependent mechanism, EFA also affects cellular signalling by making lipid rafts and altering gene expression by their effect on transcription factor and blockage of TNF [alpha] (Tumour Necrosis Factor), IL (Interleukin) and LT (Leukotriene), which is responsible for improved lacrimal secretion (Figure 2). (15,16)


The Role of Omega 3 is Validated by a Number of Clinical Trials in,

* Reduction in ocular surface irritation symptoms.

* Halting the progression of inflammation.

* Maintenance of corneal surface smoothness.

Essential Fatty Acids are required to be consumed in the diet, as they are not synthesized in the body. We have evaluated the effect of supplementation of Omega 3 fatty acids in our study group.


A prospective, open label, randomized, controlled trial was done on 67 professional computer users aged 25-45 years who used computer for 8-10 hours a day for a minimum of two years. Only male patients were enrolled so as to rule out hormonal and post-menopausal aetiology of Dry Eye. Patients above the age of 45 years, who may be having an element of age related reduction in tear secretion were excluded.

In this study patients with ocular, lid and lacrimal disease were not included. Those with systemic diseases and on drugs responsible for Dry Eye were also excluded. None of our patients were on antiplatelet, anticoagulant therapy or with bleeding disorders.

As Dry Eye is more of a symptomatic disease, all the patients were subjected to OSDI (Ocular Surface Disease Index) symptom severity questionnaire and patients with moderate-to-severe Dry Eye were included in the study.

Since it is not possible to rely solely on subjective response of the patients, who may have different pain thresholds, clinical tests were also added to correlate it with objective findings.

After thorough clinical examination, TBUT (Tear Break Up Time), Rose Bengal Staining and Schirmer's 1 Test with anaesthesia were studied.

The patients were randomly divided into two groups. Group 1 consisting of 33 patients were prescribed only lubricant drops. Group 2 consisting of 34 patients were prescribed commercially available Omega 3 fatty acids with EPA 180 mg and DHA 120 mg, 2 capsules a day for twelve weeks along with lubricants.

At the baseline and final visits (After 12 weeks of treatment), patients filled OSDI questionnaire. The clinical signs and objective measurement parameters were evaluated and recorded. TBUT, Rose Bengal staining, Schirmer's 1 with anaesthesia was performed in that sequence. TBUT was performed (An average of three successive readings) and recorded. Schirmer's 1 Test with anaesthesia was measured at 5 minutes. Rose Bengal staining was done and graded as per Van Bijsterveld schema from 0-9.


A total of 67 men with computer vision syndrome were studied for the efficacy of Omega 3 Fatty Acids prescribed for 12 weeks. All the patients abided by the requirement of our study except for 1 from the control group who was lost for follow-up. Thus, Group 1 and Group 2 consisted of 32 and 34 patients respectively.

The mean age of the patients of the control group, i.e. Group 1 was 35.6 years and treatment group i.e. Group 2 was 35.8 years which was comparable.

All the patients filled OSDI questionnaire before and after twelve weeks of treatment and objective parameters studied for efficacy of treatment were TBUT, Rose Bengal Staining and Schirmer 1 Test with anaesthesia.

The Statistical Analysis was performed using SPSS Software 21.0 version. Paired 't' test was used to compare the pre- and post-treatment values, which are statistically significantly different in both the groups as shown in Table 1. We have also compared the change in the response parameters in the two groups. This has also been found to be statistically significantly different.

OSDI questionnaire revealed a change in the mean score of 18.33 [+ or -] 2.89 in Group 2 as compared to 4.04 [+ or - ]1.18 in Group 1 (Table 2), as reported by the patients. It is very highly statistically significant (p<0.001). This implies that treatment protocol in both the groups reduced the symptom severity, but the advantage gained in Group 2 is statistically significantly higher as compared to Group 1.

Similar outcome was observed in analysis of objective parameters.

TBUT showed a mean change of 3.86 [+ or -] .70 in Group 2 (Table 3) as compared to a mean change of .81 [+ or -] .99 in Group 1. This again was statistically significant (p<0.001).

Mean change in RBS Score was 3.36 [+ or -] 1.80 in Group 2 (Table 4) and .5 [+ or -] 0.51 in Group 1, which is also very highly significant in Group 2 (p<.001).

Schirmer Test values showed a mean change of 3.53 [+ or -] .86 mm in Group 2 (Table 5) and 0.5 [+ or -] .57 mm in Group 1 with a highly significant p value of <0.001.


DEW Study has demonstrated how dry eye limits and degrades visual performance including the conduct of common vision-related daily activities; apart from causing repetitive strain disorder and profound ocular morbidity. (17) We have not yet found the optimum treatment options for different types and severity of the disease. A serious effort needs to be done to treat it at war footing.

Promising results are pouring in regarding the role of Omega-3 fatty acids in dry eye of different aetiologies. Although, it is not yet clear whether it works best on aqueous tear deficiency dry eye or lipid tear deficiency dry eye. However, it is amply clear that Omega 3 fatty acids have a softening role on inflammation of the ocular surface and immune-modulator properties, which may be responsible for improved tear production and its stability. EFAs are important constituents of cell membranes and influence the behaviour of membrane bound enzymes and receptors. Therefore, the membrane fatty acid composition can affect cell and organ functions. (18)

To consolidate this hypothesis, the role of Omega-3 fatty acids in ever increasing aetiology of dry eye, i.e. Computer Vision Syndrome was studied.

Miller et al recommended an MCID (Minimum Clinically Important Difference) of 7.0 to 9.9 for all OSDI categories (4.5 to 7.3 for mild or moderate disease and from 7.3 to 13.4 for severe disease). A significant improvement in OSDI Scores in our study was found to be very encouraging. A mean difference of 18.33 in Group 2 in pre- and post-treatment scores was higher than MCID. This was statistically as well as clinically significant. It is also demonstrated by Kangari et al (19) who found a difference of 9.4 in OSDI scores after 1-month treatment. A difference in the mean score in Group 1 was only 4.04, which is even lesser than the lowest value of MCID. An improvement in subjective and objective parameters has also been reported by a number of researchers in different aetiologies of Dry Eye. (20,21,22,23)

This difference in subjective scores also reflected in objective tests.

TBUT showed a drift towards normal values with a mean of 9.12 sec. and a change in mean of 3.86 sec. Bhargava R. et al, (24) demonstrated a change in mean of 3.3 sec after 3 months treatment (325EPA+125DHA), Kangari et al demonstrated a change in mean of 1.7 sec after only a month's treatment. Although supplementation duration and its quantity varies in these studies, but there is a definite agreement about the beneficial effect of Omega 3 on this parameter. In Group 1, a change in mean was .81, which was hardly a deviation from baseline value as compared to Group 2.

A significant change in Rose Bengal Staining indicates a healthier ocular surface. A change in mean of 3.36 was highly significant (p <.001). A statistically significant relation was also found by Bhargava et al.

A very significant change mean Schirmer values of 4.2 was found by Wojtowicz et al (25) [Fish oil (EPA 450+DHA300) + flaxseed oil 1000 mg for 3 months], whereas a very insignificant change in mean of.62 was found by Bhargava et al. Although, Schirmer test is an unreliable indicator of tear secretion, but in this study the mean change in Schirmer of 3.53 (p <.001) was commensurate with the changes in other indicators.

Literature has a number of studies regarding the role of Omega 3 Fatty Acids in Dry Eye. Studies available are done in different clinical conditions, study population and varying dose and duration, type of preparation and combinations of supplements. Similarly, different response parameters have been studied. It is difficult to draw a parallel between the outcomes of different studies. Yet they have one thing in common, that is the positive role of Omega 3 Fatty Acids in Dry Eye.

Although this is a pilot, single centre, open label study and has demonstrated a definite improvement in subjective as well as objective parameters with Lubricant drops only, but when Omega 3 Fatty Acids are added to the treatment the difference is significantly discernible. This implies that Omega 3 Fatty Acids have a definitive role in the treatment of Dry Eye of Computer Vision Syndrome.


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(8.) Pflugfelder SC, Jones D, Ji Z, et al. Altered cytokine balance in the tear fluid and conjunctiva of patients with sjogren's syndrome keratoconjunctivitis sicca. Curr Eye Res 1999;19(3):201-11.

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Anita Thakur [1], Ruchika Agarwal [2], A. M. Jain [3], Nutan Saxena [4], Chitra Rani Chauhan [5]

[1] Professor, Department of Ophthalmology, Rama Medical College, Hospital & Research Centre, Mandhana, Kanpur.

[2] Assistant Professor, Department of Ophthalmology, Rama Medical College, Hospital & Research Centre, Mandhana, Kanpur.

[3] Professor, Department of Ophthalmology, Rama Medical College, Hospital & Research Centre, Mandhana, Kanpur.

[4] Assistant Professor, Department of Ophthalmology, Rama Medical College, Hospital & Research Centre, Mandhana, Kanpur.

[5] Statistician Cum Assistant Professor, Department of Community Medicine, Rama Medical College, Hospital & Research Centre, Mandhana, Kanpur. Financial or Other, Competing Interest: None.

Submission 29-04-2016, Peer Review 24-05-2016, Acceptance 30-05-2016, Published 15-06-2016.

Corresponding Author: Dr. Anita Thakur, #501, Geetika Heights 7/106, Swaroop Nagar, Kanpur-208002.


DOI: 10/14260/jemds/2016/715
Table 1: Master Table showing Change of
Values for All the Parameters

Para                           Pre-                  Post-
Meters    Groups   N         Treatment             Treatment

OSDI        1      32   32.42 [+ or -] 5.52   28.38 [+ or -] 5.81
            2      34   33.09 [+ or -] 5.89   14.76 [+ or -] 6.59
TBUT        1      32   6.25 [+ or -] 1.32    7.06 [+ or -] 2.03
            2      34   5.26 [+ or -] 1.56    9.12 [+ or -] 1.47
RBS         1      32   3.72 [+ or -] 2.47    3.22 [+ or -] 2.34
            2      34   4.24 [+ or -] 2.43    0.88 [+ or -] 1.04
ST          1      32   6.03 [+ or -] 1.40    6.53 [+ or -] 1.61
            2      34   5.62 [+ or -] 1.58    9.15 [+ or -] 1.65

Para                Change
Meters    Groups   in Mean    Paired t     p

OSDI        1        4.04      19.40     0.000
            2       18.33      36.96
TBUT        1        0.81       4.60     0.000
            2        3.86      32.00
RBS         1        0.5        5.57     0.000
            2        3.36      10.82
ST          1        0.5        4.98     0.000
            2        3.53      23.89

Table 2: Comparison of Change in OSDI Score

                                          95% Confidence
                                            Interval of
                                          the Difference
              Change            Mean
OSDI      N   in Mean   SD   Difference   Lower    Upper     t      p

Group 1   32   4.04    1.18    14.28      13.19    15.38   25.99  0.000
Group 2   34   18.32   2.89

Table 3: Comparison of Change In TBUT

                                        95% Confidence
                                          Interval of
                                        the Difference
              Change           Mean
TBUT      N   in Mean  SD   Difference  Lower   Upper     t      p

Group 1   32   0.81    .99     3.04      2.62    3.46   14.38  0.000
Group 2   34   3.85    .70

Table 4: Comparison of Change in RBS Score

                                                95% Confidence
                                                Interval of
                                                the Difference
               Change            Mean
RBS       N   in Mean    SD   Difference  Lower   Upper    t      p

Group 1   32    0.50    0.51     2.85      2.19    3.51   8.61  0.000
Group 2   34    3.35    1.80

Table 5: Comparison of Change in Schirmer's Test Values

                                              95% Confidence
                                              Interval of
                                              the Difference
              Change           Mean
ST        N   in Mean  SD   Difference  Lower   Upper     t      p

Group 1   32   0.50    .57     3.03      2.67    3.39   16.76  0.000
Group 2   34   3.53    .86
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Title Annotation:Original Article
Author:Thakur, Anita; Agarwal, Ruchika; Jain, A.M.; Saxena, Nutan; Chauhan, Chitra Rani
Publication:Journal of Evolution of Medical and Dental Sciences
Article Type:Report
Date:Jun 16, 2016
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