Dry eye disease and retinal nerve fiber layer changes in chronic smokers

Narnoli, Prasansha; Dhasmana, Renu; Khanduri, Rakhee

doi:10.4103/ijo.ijo_976_20

Cited by 8 publications

(2 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, it could relate to a higher percentage of DED in patients with persistent gout and without gout. Persistent cigarette smoking has been proven to be associated with DED presence [30,31]. Thus, it is reasonable that persistent cigarette smoking significantly correlates to DED presence in both groups.…”

Section: Discussionmentioning

confidence: 92%

Lifestyle and Symptom Risk Factors for Dry Eye Disease in Asian Gout Population: A Population-Based Case–Control Study

Lee

Lian

Jhan

et al. 2022

JCM

View full text Add to dashboard Cite

We aim to investigate the lifestyle and symptom factors related to dry eye disease (DED) presence in patients with persistent gout using the Taiwan Biobank (TWB) database. A retrospective case–control study was conducted, and patients with a history of gout longer than 10 years were enrolled in the persistent-gout group. Each persistent-gout patient was age- and sex-matched to two non-gout individuals who served as the control group, and we included a total of 973 and 1946 patients in the persistent-gout group and non-gout groups. The main outcome of our study is the presence of DED and the distribution of several lifestyle and symptom risk factors of DED in persistent-gout and non-gout individuals. Logistic regression considering the age and sex and interaction test was applied to estimate the correlation of each lifestyle and symptom risk factor to DED in the two groups. A total of 95 and 140 DED events were found in the persistent-gout and non-gout groups, with a significantly higher percentage in the persistent-gout population (aOR: 1.167, 95% CI: 1.073–3.855, p = 0.0415). The visual display terminal (VDT) user (p = 0.0026) and persistent alcohol drinking (p = 0.0384) were associated with DED more often in the persistent-gout population than the non-gout population. Moreover, the percentages of DED in the patients with gout intervals of 10–20 years and more than 20 years were statistically insignificant (aOR: 1.042, 95% CI: 0.886–1.910, p = 0.5279). In conclusion, VDT usage and persistent alcohol drinking are prominent lifestyle and symptom risk factors for DED occurrence in patients who have experienced gout for more than 10 years.

show abstract

Section: Discussionmentioning

confidence: 92%

Lifestyle and Symptom Risk Factors for Dry Eye Disease in Asian Gout Population: A Population-Based Case–Control Study

Lee

Lian

Jhan

et al. 2022

JCM

View full text Add to dashboard Cite

show abstract

“…Histopathological alteration of conjunctiva such as squamous metaplasia with changes to cornea nerve plexus, resulting in the reduction of conjunctival and corneal sensitivity. Thus, a decrease in basal tear secretion was revealed with the use of tobacco smoking [ 8 , 16 ]. We deduce that similar histopathological changes that happened to tobacco cigarette smokers can occur among electronic cigarette users and thus a reduction in both basal and reflex tear secretion, as manifested in Schirmer’s I test results.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Dry Eye Parameters Among Electronic Cigarette Smokers

Chew,

Kwan Joo Ern,

Muhammed

et al. 2024

Cureus

View full text Add to dashboard Cite

Introduction The emergence of electronic cigarettes as the “healthier” version of smoking has been popular, especially among young adults. However, knowledge about the potential effects of e-cigarettes on ocular structures is scarce. Objective To compare the mean change in dry eye parameters between e-cigarette smokers and non-smokers and to correlate between dry eye parameters with device power output. Methodology A cross-sectional, single-visit study was conducted involving 85 e-cigarette smokers and 85 non-smokers. All participants were evaluated on dry eye parameters, including the Ocular Surface Disease Index (OSDI) score, tear meniscus height (TMH), tear break-up time (TBUT), cornea fluorescein staining, and Schirmer’s I test. The mean change in dry eye parameters was compared between e-cigarette smokers and non-smokers. The correlation between dry eye parameters with device power output was analyzed. Results Specifically, 32.94% of e-cigarette smokers were found to have a TMH <0.2 mm, compared to only 5.88% of non-smokers (p<0.001). A significant change in mean TBUT was found between the e-cigarette smokers (10.41+2.65 seconds) and non-smokers (12.66+3.14 seconds, p<0.001). The lower mean Schirmer’s I test was found among e-cigarette smokers (12.75+7.24 mm, p<0.001). No significant change in the median OSDI score and corneal fluorescein staining. The OSDI score and device power output were found to have a significant positive correlation (p=0.003). There was a significant association between dry eye signs and device power output, including TMH (p=0.047), TBUT (p=0.002), Schirmer’s I test (p<0.001), and corneal fluorescein staining (p<0.001). Conclusion Electronic cigarette smokers are prone to develop dry eyes. Concern should be raised on the risk of electronic cigarette use on ocular health, and regulation on e-cigarette ban should be revisited.

show abstract