DefinePK

DefinePK hosts the largest index of Pakistani journals, research articles, news headlines, and videos. It also offers chapter-level book search.

Assessment of tear film parameters in females with refractive errors using a single device: an observational study


Article Information

Title: Assessment of tear film parameters in females with refractive errors using a single device: an observational study

Authors: Mana Alafri Alanazi, Shahad Abdulrazzaq Alanazi, Mashaaer Abdulwahhab Baashen, Meznah Saud Almutairi, Gamal Abdel-Rehman El-Hiti

Journal: Journal of Pakistan Medical Association

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31
X 2023-07-01 2024-09-30
X 2022-07-01 2023-06-30
X 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30
W 2012-07-01 2020-06-30
X 2011-05-13 2012-06-30
Y 1900-01-01 2005-06-30

Publisher: Pakistan Medical Association.

Country: Pakistan

Year: 2024

Volume: 74

Issue: 3

Language: en

DOI: 10.47391/JPMA.9994

Keywords: Risk FactorsRefractive errorsdry eye syndromesTearsEye abnormalities

Categories

Abstract

This observational study aimed to evaluate the use of a single portable device to assess the non-invasive tear break-up time (NITBUT), tear meniscus height (TMH), and lipid layer patterns (LLP) in young females with refractive errors (REs). The study was conducted at the College of Applied Medical Science (Female campus), Riyadh, Saudi Arabia between January 5, 2021 to May 15, 2021. Forty young females, with mean age of 23.0± 4.3 years with REs (2.53 ± 2.05 D) and 40 females, mean age 23.8± 4.5 years with healthy eyes were recruited. The tests were administered in the following order: Ocular Surface Disease Index (OSDI), followed by NITBUT, TMH, and LLP. Significant differences (via Mann–Whitney U test) were noted in the median ocular surface disease index (OSDI; p<0.001), NITBUT (p = 0.035), TMH (p = 0.009), and LLP (p<0.001) scores between the study and control groups.
---Continue


Paper summary is not available for this article yet.

Loading PDF...

Loading Statistics...