Conjunctival impression cytology used as a gold standard test in evaluating the cases of Computer Vision Syndrome among young university students

Objective To find the correlation between clinical dry eye tests and conjunctival impression cytology examination for the assessment of computer vision syndrome in university students in Lahore. Methodology: An analytical cross-sectional study was conducted on 225 students at the University of the Punjab. A questionnaire-based data was collected, followed by measurement of tear-film breakup time (TBUT), the number of corneal dry spots& Schirmer’s test, and conjunctival impression cytology (CIC) under topical anesthesia. Pearson correlation analysis was done on CIC score versus TBUT, Schirmer’s test, and Goblet Cell Density (GCD). Analysis of variance (ANOVA) was used to compare visual acuity, TBUT, cornea spots, and Schirmer’s test to see the significance of the results. A p-value ≤0.05 was considered statistically significant. Results: Out of the 225 students, 63 % were females compared to 37% male students. The mean age of the students was 19 ± 3.8 years. There was a statistically significant mean difference found between the CIC score and TBUT (F=208.45p=<0.001), cornea spot (F=39.31, p=<0.001), and Schirmer’s test (F=5.83, p=0.001). Conclusion: In addition to applying the validated questionnaire and clinical dry eye tests, Conjunctival impression cytology should be tested on larger populations for the early diagnosis and management of CVS to be proven as a gold-standard test.

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Publication Details

Journal
Ophthalmology Pakistan
Published
2025-06-02
DOI
https://doi.org/10.62276/ophthalmolpak.15.01.181
Primary Topic
Ergonomics and Musculoskeletal Disorders
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article
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article

Conjunctival impression cytology used as a gold standard test in evaluating the cases of Computer Vision Syndrome among young university students

Muhammad Saeed Khan, Tahira Khurram, Gulbano Akram, Rafia Saeed et al.
Ophthalmology Pakistan
Ergonomics and Musculoskeletal Disorders
article

Conjunctival impression cytology used as a gold standard test in evaluating the cases of Computer Vision Syndrome among young university students

Muhammad Saeed Khan, Tahira Khurram, Gulbano Akram, Rafia Saeed, Fahad Rafique
article en

Abstract

Objective To find the correlation between clinical dry eye tests and conjunctival impression cytology examination for the assessment of computer vision syndrome in university students in Lahore. Methodology: An analytical cross-sectional study was conducted on 225 students at the University of the Punjab. A questionnaire-based data was collected, followed by measurement of tear-film breakup time (TBUT), the number of corneal dry spots& Schirmer’s test, and conjunctival impression cytology (CIC) under topical anesthesia. Pearson correlation analysis was done on CIC score versus TBUT, Schirmer’s test, and Goblet Cell Density (GCD). Analysis of variance (ANOVA) was used to compare visual acuity, TBUT, cornea spots, and Schirmer’s test to see the significance of the results. A p-value ≤0.05 was considered statistically significant. Results: Out of the 225 students, 63 % were females compared to 37% male students. The mean age of the students was 19 ± 3.8 years. There was a statistically significant mean difference found between the CIC score and TBUT (F=208.45p=<0.001), cornea spot (F=39.31, p=<0.001), and Schirmer’s test (F=5.83, p=0.001). Conclusion: In addition to applying the validated questionnaire and clinical dry eye tests, Conjunctival impression cytology should be tested on larger populations for the early diagnosis and management of CVS to be proven as a gold-standard test.

Ophthalmology PakistanVol. 15(1)
Royal College of Physicians and Surgeons of Glasgow (GB), Capital Normal University (CN)
Openalex Percentile: Top 85%
Ergonomics and Musculoskeletal Disorders
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Conjunctival impression cytology used as a gold standard test in evaluating the cases of Computer Vision Syndrome among young university students — Muhammad Saeed Khan, Tahira Khurram, et al. · Ophthalmology Pakistan (2025) | TGRS Research Map | TGRS