Prevalence and associated risk factors of symptomatic dry eye in Ghana: A cross-sectional population-based study

Prevalence and Risk Factors of Dry Eye Disease in the South of Palestine

Background

The prevalence of dry eye disease (DED) is rising globally and needs to be urgently addressed by medical professionals because it lowers patients' quality of life. There are as yet no available data in the literature about the prevalence of and risk factors for DED in the Gaza Strip, a gap that the present study seeks to address.

Methods

A cross-sectional study was carried out between March and August 2022 in Gaza governorates using a proportional stratified sampling technique. Only Gazan individuals ≥ 18 years old and able to follow the instructions were included. The Ocular Surface Disease Index (OSDI) questionnaire, which has previously been translated into Arabic and validated, was applied to evaluate DED symptoms. Subjective clinical tests for DED conducted were tear meniscus height (TMH), meibomian gland dysfunctions (MGDs), Marx line (ML), conjunctival Lissamine green staining (LGS), tear film break-up time test (TBUT), corneal fluorescein staining (CFS) and Schirmer II tear test (STT). DED was defined based on an Arab-OSDI score ≥ 13 and at least one positive clinical sign.

Results

A total of 426 participants were assessed from four areas (North Gaza Strip, 82; Gaza City, 147; Mid-Zone Gaza Strip, 62; South Gaza Strip, 135). The prevalence of DED in the present study was 31.5% (95% CI: 27.1, 36.1). Age > 50 years old (odds ratio [OR] = 10.45; 95% CI: 2.95, 37.05; P < 0.001), female gender (OR = 3.24; 95% CI: 1.40, 7.52, P = 0.006), menopause or pregnancy (OR = 2.59; 95% CI: 1.25, 5.35; P = 0.03) and pharmacotherapy (artificial tears; OR = 9.91; 95% CI: 2.77, 35.46; P < 0.001) were each associated with DED symptoms. South Gaza Strip (OR = 0.04; 95% CI: 0.01, 0.12; P < 0.001), unemployed (OR = 11.67; 95% CI: 1.43, 95.44; P = 0.02), non-consumption of caffeine (OR = 0.40; 95% CI: 0.19, 0.88; P = 0.02) and TMH < 0.2 (OR = 1.80; 95% CI: 1.02, 3.19; P = 0.04) were associated with TBUT < 5 s. LGS was associated with those > 50 years old (OR = 2.70; 95% CI: 1.38, 5.28; P = 0.004), previous refractive or ocular surface surgeries (OR = 2.97; 95% CI: 1.34, 6.59; P = 0.008) and CFS ≥ 1 (OR = 1.91; 95% CI: 1.07, 3.44; P = 0.03).

Conclusion

Various aspects of DED were linked with different risk factors, suggesting that DED subtypes have different underlying pathophysiologies.

Diagnosing dry-eye: Which tests are most accurate?

PURPOSE

To demonstrate how the likelihood of making a correct diagnosis of dry eye disease varies according to the clinical test methods used.

METHODS

The probability of a person having dry eye, given that they return a positive test, was calculated for a range of standard tests, using the Bayes-Price rule. Global specificity and sensitivity values for each test were estimated by employing the Beta distribution to combine all relevant data obtained from a literature review.

RESULTS

At an assumed prevalence of 11.6%, the single test with the highest probability of a correct diagnosis was corneal staining (probability = 0.28) and the lowest was the ocular surface disease index - OSDI (0.14). The best combination of symptoms with a single test of tear film homeostasis was the 5-item dry eye questionnaire (DEQ-5) + corneal staining (0.42) while OSDI + tear film break up time (TBUT) was the worst (0.23). The simultaneous observation of conjunctival and corneal staining was associated with a probability of 0.49. The probability of a correct diagnosis increased with the number of positive tests, up to a maximum of 0.90 when all of DEQ-5, conjunctival and corneal staining, osmolarity and TBUT were positive.

CONCLUSION

A significant risk of misdiagnosis is associated with using any single test for dry eye disease, or the minimum TFOS DEWS II criterion of symptoms plus any single test of tear film homeostasis. To minimize this risk, the maximum number of tests available should be performed and the results used to inform diagnosis. The simultaneous occurrence of conjunctival and corneal staining should be considered a key outcome and be specified in future guidelines.

Estimates of dry eye disease in Saudi Arabia based on a short questionnaire of prevalence, symptoms, and risk factors: The Twaiq Mountain Eye Study I

PURPOSE

To estimate the prevalence and associated risk factors of dry eye disease (DED) among the citizens of Saudi Arabia.

METHODS

A cross-sectional prevalence survey was administered to 4066 healthy adults from the five main regions of Saudi Arabia. Initial estimates of the prevalence and associated risk factors of DED were calculated for the general population and then stratified by demographic characteristics such as age, sex, and location. DED was assessed by a short, validated dry-eye questionnaire.

RESULTS

The overall prevalence of DED was 49.5 % (n = 2016), including 33.1 % (n = 1347) of participants who reported a previous DED diagnosis and 16.4 % (n = 669) who reported severe symptoms; 14.7 % reported severe symptoms and a previous DED diagnosis (n = 598). The DED prevalence among men was 49.8 % (n = 1005) compared with 50.2 % (n = 1011) for women. The multivariate model analysis confirmed the increased prevalence of DED in women (OR 1.48; 95 % CI 1.30-1.88), those ≥60 years of age (OR 1.99; 95 % CI 1.60-2.81), those who had undergone refractive surgery (OR 1.79; 95 % CI 1.50-2.59), those having undergone acne treatment (OR 1.51; 95 % CI 1.34-1.97), contact lens wearers (OR 1.77; 95 % CI 1.40-2.48), those having taken antiallergy drugs (OR 2.23; 95 % CI 1.55-2.78) or antidepressants (OR 1.60; 95 % CI 1.14-2.44), and those who reported computer use of >6 h per day (OR 1.66; 95 % CI 1.41-2.52).

CONCLUSION

Dry eye is a common disease among the Saudi Arabian population. Prevalence is found to be high and vary significantly across the country. DED could be attributed to dry weather, low annual rainfall, low humidity, widespread use of air conditioners, air pollution, high temperature, and exposure to sunlight.

TFOS Lifestyle: Impact of lifestyle challenges on the ocular surface

Many factors in the domains of mental, physical, and social health have been associated with various ocular surface diseases, with most of the focus centered on aspects of dry eye disease (DED). Regarding mental health factors, several cross-sectional studies have noted associations between depression and anxiety, and medications used to treat these disorders, and DED symptoms. Sleep disorders (both involving quality and quantity of sleep) have also been associated with DED symptoms. Under the domain of physical health, several factors have been linked to meibomian gland abnormalities, including obesity and face mask wear. Cross-sectional studies have also linked chronic pain conditions, specifically migraine, chronic pain syndrome and fibromyalgia, to DED, principally focusing on DED symptoms. A systematic review and meta-analysis reviewed available data and concluded that various chronic pain conditions increased the risk of DED (variably defined), with odds ratios ranging from 1.60 to 2.16. However, heterogeneity was noted, highlighting the need for additional studies examining the impact of chronic pain on DED signs and subtype (evaporative versus aqueous deficient). With respect to societal factors, tobacco use has been most closely linked to tear instability, cocaine to decreased corneal sensitivity, and alcohol to tear film disturbances and DED symptoms.

Prevalence and associated factors of symptomatic dry eye among undergraduate students in Hawassa University College of Medicine and Health Sciences, Hawassa, Ethiopia

Objective

This study aimed to assess the prevalence and associated factors of symptomatic dry eye (SDE) among undergraduate students at the College of Medicine and Health Science, Hawassa University, Ethiopia.

Methods and analysis

Institution-based cross-sectional study was conducted using a systematic random sampling technique. A total of 311 undergraduate students were recruited to execute the study. Ethical clearance was obtained from the ethical review committee of the school of Medicine and Health Science. A standardised self-administered questionnaire was used to collect the data. Data were entered using Epi Info V.7 and cleaned and analysed using SPSS V.23. Binary and multivariable logistic regression analysis was done to select candidate variables and to identify statistically significant factors. Variables with a p value of <0.05 on multivariable analysis were reported as statistically significant.

Results and conclusion

The overall prevalence of SDE was found to be 49.4% (95% CI 43.7% to 55.1%). In this study, the history of ophthalmic drop use (adjusted OR, AOR 2.063; 95% CI 1.073 to 3.957) and being second (AOR 5.99; 95% CI 1.10 to 32.56) and third (AOR 11.55; 95% CI 2.12 to 62.94) year student were factors that significantly associated with SDE.

In this study, the prevalence of SDE was significantly high. The factors associated with SDE were the use of ophthalmic drops and the class year of students. Therefore, public health education about protective measures should be considered to minimise the effects of SDE on the quality of life of students.

Prevalence of dry eye disease among Chinese high school students during the COVID-19 outbreak

Purpose

The study aimed to investigate the prevalence of dry eye disease (DED) and relevant risk factors among Chinese high school students during the COVID-19 outbreak.

Methods

A cross-sectional study was conducted from November to December 2020, and 4825 high school students from nine high schools in Shanghai were recruited. All students completed ocular surface disease index (OSDI) and perceived stress scale (PSS) questionnaires and answered other questions designed to ascertain information on the risk factors related to DED. DED was diagnosed when OSDI scores were greater than or equal to 13. The prevalence of symptomatic DED was determined. A T-test, Kruskal-Wallis test, Chi-square test, and logistic regression analysis were used to examine the possible risk factors.

Results

The prevalence of symptomatic DED among Chinese high school students was 70.5%. In univariate analysis, higher PSS scores (P<0.001), prolonged video display terminal (VDT) use (P<0.001), wearing contact lenses (P=0.001), poor sleep quality (P<0.001), and being female (P<0.001) were significantly correlated with dry eyes. In multivariate logistic regression analysis, higher PSS scores (P<0.001, OR=1.20), prolonged VDT use (P<0.001, OR=1.07), poor sleep quality (P<0.001, OR=1.84), and being female (P=0.001, OR=1.25) were significant risk factors associated with DED.

Conclusions

Due to the epidemic, most Chinese high school students are in a high-risk environment in which they are more likely to suffer from DED, such as long online courses and heavy stress from school. Relevant preventive measures that may have a positive impact on public health and quality of life for high school students should be brought to the forefront.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12886-022-02408-9.

Dry eye, its clinical subtypes and associated factors in healthy pregnancy: A cross-sectional study

The study determined the frequency of dry eye, its clinical subtypes and risk factors among pregnant women. This study was a hospital-based cross-sectional study of pregnant women visiting the antenatal clinic of the University of Cape Coast hospital. Clinical dry eye tests were performed along with the administration of a symptom questionnaire. Frequencies, chi-square analysis and logistic regression analyses were conducted to determine the frequency of dry eye disease, its clinical subtypes and associated factors. The prevalence of dry eye disease among the cohort of pregnant women was 82/201 (40.8% 95% confidence interval 34.3%-47.3%). Among the 82 pregnant women with dry eye disease, the frequencies of the clinical subtypes of dry eye were: evaporative dry eye [15/82(18.3%; 95% CI, 12.2%–25.2%)], aqueous deficient dry eye [10/82(12.2.%; 95% CI, 7.3%–18.3)], mixed dry eye [6/82(7.3%; 95% CI, 3.7%–11.0%)], and unclassified dry eye [51/82(62.2%; 95% CI, 52.4%–72.0%)]. Binary logistic regression analysis showed that the following factors were not significantly associated with dry eye: age, BMI, lipid profile, prolactin level, testosterone level, ocular protection index and blink rate. Only gestational age was significantly associated with dry eye disease in pregnancy. In conclusion, the current study showed that dry eye disease occurs frequently in pregnant women ranging from the first to the third trimester and it is associated with increasing gestational age. The evaporative dry eye was more common compared to the aqueous deficient dry eye, but most dry eye could not be classified.

Ocular Surface Microbiota in Diabetic Patients With Dry Eye Disease

Purpose

To investigate the ocular surface (OS) commensal bacteria profiles of patients with diabetes mellitus (DM) and dry eye disease (DED).

Methods

In the present study, subjects were assigned to four groups: 37 to the diabetic mellitus with dry eye disease (DM with DED) group, 22 to the diabetes mellitus (DM)-only group, 34 to the dry eye disease (DED)-only group, and 22 to the control group. Tear fluid was collected using Schirmer's tear secretion test paper. 16S ribosomal ribonucleic acid (rRNA) gene sequencing was used to analyze the bacterial microbiota.

Results

The DM with DED group showed the highest operational taxonomic unit (OTU) numbers and alpha diversity and the most different beta diversity. The groups shared the four most abundant phyla, accounting for over 96% of the total abundance. At the genus level, there were 10 types of overlap in the core microbiota in the groups. They showed significant differences between the groups. Additionally, the DM with DED group and the control group showed four unique core genera, respectively. Unclassified Clostridiales and Lactobacillus were the core microbiota members of the DM with DED group, the DM-only group, and the DED-only group, but not the control group.

Conclusions

In the present study, our results showed that the patients in the DM with DED group had a more complex and comprehensive ocular surface microbial composition. To the best of our knowledge, this is the first study to reveal the microbial profile of dry eye disease in patients with diabetes mellitus.

Comparison of the performance of the dry eye questionnaire (DEQ-5) to the ocular surface disease index in a non-clinical population

OBJECTIVE

To compare the performance of the dry eye questionnaire (DEQ-5) with the Ocular Surface Disease Index (OSDI) and further validate the DEQ-5 questionnaire.

METHODS

A population-based cross-sectional study conducted in Ghana. OSDI and DEQ-5 questionnaires were administered to participants. Cronbach's alpha was used to evaluate the reliability of the OSDI and DEQ-5 questionnaires. Analysis of variance was used to evaluate the discriminant validity of DEQ-5. Concurrent validity was evaluated using the Spearman correlation analysis. A receiver operating characteristic (ROC) curve was generated to describe the sensitivity and specificity of the DEQ-5 questionnaire for diagnosis of dry eye symptoms. Cohen Kappa was used to evaluate agreement between the two questionnaires.

RESULTS

The reliability of the overall OSDI and DEQ-5 scores were 0.919 and 0.819 respectively. The mean (SD) DEQ-5 scores for asymptomatic, mild, moderate and severe dry eye symptoms as defined by the OSDI grading were 3.05 (2.73), 5.13 (3.69), 7.65 (3.30) and 9.77 (4.16) respectively. There was a statistically significant correlation between total OSDI and total DEQ-5 scores (r_s = 0.649, p < 0.0001). The area under the curve (AUC) of the ROC curve for DEQ-5 was 0.835 (95 % CI: 0.796 - 0.875). A DEQ-5 threshold of 5.5 yielded maximum sensitivity (0.712) and specificity (0.827). The Cohen kappa using a the DEQ-5 total score threshold of 5.5 was K = 0.539 (p < 0.0001).

CONCLUSION

In conclusion, performance of the DEQ-5 questionnaire in discriminating symptoms of dry eye is comparable to the OSDI questionnaire. The DEQ-5 questionnaire is a valid measure of dry eye symptoms and can be used as a dry eye symptoms assessment tool in both clinical and epidemiological studies.