CC BY-NC-ND 4.0 · J Lab Physicians 2014; 6(02): 102-108
DOI: 10.4103/0974-2727.141507
Original Article

The Diagnostic Value and Accuracy of Conjunctival Impression Cytology, Dry Eye Symptomatology, and Routine Tear Function Tests in Computer Users

Rahul Bhargava
Department of Ophthalmology, Santosh Medical College and Hospital, Ghaziabad, Uttar Pradesh, India
,
Prachi Kumar
Department of Pathology, Santosh Medical College and Hospital, Ghaziabad, Uttar Pradesh, India
,
Avinash Kaur
Department of Ophthalmology, Santosh Medical College and Hospital, Ghaziabad, Uttar Pradesh, India
,
Manjushri Kumar
Department of Pathology, Narayan Medical College, Sasaram, Bihar, India
,
Anurag Mishra
Department of Health, Medical officer, Uttar Pradesh, India
› Institutsangaben
Source of Support: Nil

ABSTRACT

Aims and Objectives: To compare the diagnostic value and accuracy of dry eye scoring system (DESS), conjunctival impression cytology (CIC), tear film breakup time (TBUT), and Schirmer's test in computer users.

Methods: A case-control study was done at two referral eye centers. Eyes of 344 computer users were compared to 371 eyes of age and sex matched controls. Dry eye questionnaire (DESS) was administered to both groups and they further underwent measurement of TBUT, Schirmer's, and CIC. Correlation analysis was performed between DESS, CIC, TBUT, and Schirmer's test scores. A Pearson's coefficient of the linear expression (R 2) of 0.5 or more was statistically significant.

Results: The mean age in cases (26.05 ± 4.06 years) was comparable to controls (25.67 ± 3.65 years) (P = 0.465). The mean symptom score in computer users was significantly higher as compared to controls ( P < 0.001). Mean TBUT, Schirmer's test values, and goblet cell density were significantly reduced in computer users (P < 0.001). TBUT, Schirmer's, and CIC were abnormal in 48.5%, 29.1%, and 38.4% symptomatic computer users respectively as compared to 8%, 6.7%, and 7.3% symptomatic controls respectively. On correlation analysis, there was a significant (inverse) association of dry eye symptoms (DESS) with TBUT and CIC scores (R 2 > 0.5), in contrast to Schirmer's scores (R 2 < 0.5). Duration of computer usage had a significant effect on dry eye symptoms severity, TBUT, and CIC scores as compared to Schirmer's test.

Conclusion: DESS should be used in combination with TBUT and CIC for dry eye evaluation in computer users.



Publikationsverlauf

Artikel online veröffentlicht:
19. April 2020

© 2014.

Thieme Medical and Scientific Publishers Private Ltd.
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  • REFERENCES

  • 1 United States Census Bureau, 2014. Available from: http://www.census.gov/cps/methodology/techdocs.html. [Last accessed on 2014 Jun 26].
  • 2 Portello JK, Rosenfield M, Chu CA. Blink rate, incomplete blinks and computer vision syndrome. Optom Vis Sci 2013;90:482-7.
  • 3 Blehm C, Vishnu S, Khattak A, Mitra S, Yee RW. Computer vision syndrome: A review. Surv Ophthalmol 2005;50:253-62.
  • 4 Miljanović B, Dana R, Sullivan DA, Schaumberg DA. Impact of dry eye syndrome on vision-related quality of life. Am J Ophthalmol 2007;143:409-15.
  • 5 Cardona G, García C, Serés C, Vilaseca M, Gispets J. Blink rate, blink amplitude, and tear film integrity during dynamic visual display terminal tasks. Curr Eye Res 2011;36:190-7.
  • 6 Apostol S, Filip M, Dragne C, Filip A. Dry eye syndrome. Etiological and therapeutic aspects. Oftalmologia 2003;59:28-31.
  • 7 Uchino M, Schaumberg DA, Dogru M, Uchino Y, Fukagawa K, Shimmura S, et al. Prevalence of dry eye disease among Japanese visual display terminal users. Ophthalmology 2008;115:1982-8.
  • 8 Nakaishi H, Yamada Y. Abnormal tear dynamics and symptoms of eyestrain in operators of visual display terminals. Occup Environ Med 1999;56:6-9.
  • 9 Nichols KK, Nichols JJ, Mitchell GL. The lack of association between signs and symptoms in patients with dry eye disease. Cornea 2004;23:762-70.
  • 10 Kumar P, Bhargava R, Kumar M, Ranjan S, Kumar M, Verma P. The correlation of routine tear function tests and conjunctival impression cytology in dry eye syndrome. Korean J Ophthalmol 2014;28:122-9.
  • 11 Bhargava R, Kumar P, Kumar M, Mehra N, Mishra A. A randomized controlled trial of omega-3 fatty acids in dry eye syndrome. Int J Ophthalmol 2013;6:811-6.
  • 12 Kumar P, Bhargava R, Kumar M, et al. Dry Eye Syndrome: A diagnostic enigma. International Journal of Contemporary Surgery 2013; 1(2):72-77.
  • 13 Nelson JD, Havener VR, Cameron JD. Cellulose acetate impressions of the ocular surface. Dry eye states. Arch Ophthalmol 1983;101:1869-72.
  • 14 Shantakumari N, Eldeeb R, Sreedharan J, Gopal K. Computer use and vision-related problems among university students in Ajman, United Arab emirate. Ann Med Health Sci Res 2014;4:258-63.
  • 15 Fuentes-Páez G, Herreras JM, Cordero Y, Almaraz A, González MJ, Calonge M. Lack of concordance between dry eye syndrome questionnaires and diagnostic tests. Arch Soc Esp Oftalmol 2011;86:3-7.
  • 16 Schiffman RM, Christianson MD, Jacobsen G, Hirsch JD, Reis BL. Reliability and validity of the ocular surface disease index. Arch Ophthalmol 2000;118:615-21.
  • 17 Biswas NR, Nainiwal SK, Das GK, Langan U, Dadeya SC, Mongre PK, et al. Comparative randomized controlled clinical trial of a herbal eye drop with artificial tear and placebo in computer vision syndrome. J Indian Med Assoc 2003;101:208-9, 212.
  • 18 Unlü C, Güney E, Akçay Bİ, Akçalı G, Erdoğan G, Bayramlar H. Comparison of ocular-surface disease index questionnaire, tear film break-up time, and Schirmer tests for the evaluation of the tear film in computer users with and without dry-eye symptomatology. Clin Ophthalmol 2012;6:1303-6.
  • 19 Ozcura F, Aydin S, Helvaci MR. Ocular surface disease index for the diagnosis of dry eye syndrome. Ocul Immunol Inflamm 2007;15:389-93.
  • 20 Uchino M, Yokoi N, Uchino Y, Dogru M, Kawashima M, Komuro A, et al. Prevalence of dry eye disease and its risk factors in visual display terminal users: The Osaka study. Am J Ophthalmol 2013;156:759-66.
  • 21 Dehghani A, Tavakoli M, Akhlaghi M, Naderi A, Eslami F. Prevalence of ocular symptoms and signs among professional computer users in Isfahan, Iran. J Res Med Sci 2008;13:303-7.
  • 22 Schaumberg DA, Sullivan DA, Buring JE, Dana MR. Prevalence of dry eye syndrome among US women. Am J Ophthalmol 2003;136:318-26.
  • 23 Reddy SC, Low CK, Lim YP, Low LL, Mardina F, Nursaleha MP. Computer vision syndrome: A study of knowledge and practices in university students. Nepal J Ophthalmol 2013;5:161-8.