Rohini Patil

Abstract

Aims and Objectives: To correlate 3 important factors central corneal thickness, intraocular pressure and visual field changes in the POAG suspects which it helps to predict the onset of POAG and in early diagnosis. Materials and Methods: In this prospective study, a total 100 patients from 40 to 70 years of age diagnosed as PAOG suspects were included in the study. Slit lamp bio microscopy, ultrasound pachymetry was done to measure CCT and IOP was measured with Goldman applanation tonometer the visual field assessment was done with the octopus field analyser. Results: The patient population consisted of 42 females and 58 males with average age of 51.7 years. Significant and moderate positive correlation between the CCT and IOP was observed for the right side (r)=0.39 and left side(r)=0.36 statistically significant (P=0.001). In our study highest percentage of abnormal (glaucomatous) visual field changes was seen in eyes with low CCT (. Conclusion: Thinner corneal readings in south Indian population especially when presenting at younger age should alarm the ophthalmologist to evaluate the patient thoroughly for glaucoma and should be followed up for the progression of glaucoma. Keywords: Central corneal thickness, Glaucoma suspect, Primary open angle glaucoma, Visual field.

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Abstract

Background: Using computer for prolonged time led to the users at greater health risk of computer vision syndrome (CVS). Computer vision syndrome is the leading occupational health problem of the twenty-first century. About 70 percent of computer users are suffered from CVS. Thus aim of this study was to evaluate the meibomian gland dysfunction in computer users. Materials and Methods: A self-administered questionnaire was used to collect demographic data, symptoms of CVS, detail of computer usage, potential risk factor and types of tasks performed by the computer users. Data was analyzed using statistical package for social sciences software version 14. Descriptive data was presented as mean +/- standard deviation. Significance of association of meibomian Gland Dysfunction (MGD) with Computer Vision Syndrome (CVS) was tested using chi square test and correlation was tested using Pearson correlation test. Result: Computer vision syndrome was present in 80% of subjects. MGD was present in 65% of the patient diagnosed to have computer vision syndrome. Chi square test for association was statistically significant (P value Conclusion: MGD is one of the multifactorial causes for dry eyes in patients prone to the development of computer vision syndrome and should be specifically looked for and treated to give better symptomatic relief to these patients. To explore meibomian gland dysfunction may determine the severity of dry eye condition in computer users. Keywords: Meibomian gland Dysfunction, Dry eye disease, Computer vision syndrome, Ocular irritation.

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