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      TFOS DEWS II Epidemiology Report

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          Abstract

          The subcommittee reviewed the prevalence, incidence, risk factors, natural history, morbidity and questionnaires reported in epidemiological studies of dry eye disease (DED). A meta-analysis of published prevalence data estimated the impact of age and sex. Global mapping of prevalence was undertaken. The prevalence of DED ranged from 5 to 50%. The prevalence of signs was higher and more variable than symptoms. There were limited prevalence studies in youth and in populations south of the equator. The meta-analysis confirmed that prevalence increases with age, however signs showed a greater increase per decade than symptoms. Women have a higher prevalence of DED than men, although differences become significant only with age. Risk factors were categorized as modifiable/non-modifiable, and as consistent, probable or inconclusive. Asian ethnicity was a mostly consistent risk factor. The economic burden and impact of DED on vision, quality of life, work productivity, psychological and physical impact of pain, are considerable, particularly costs due to reduced work productivity. Questionnaires used to evaluate DED vary in their utility. Future research should establish the prevalence of disease of varying severity, the incidence in different populations and potential risk factors such as youth and digital device usage. Geospatial mapping might elucidate the impact of climate, environment and socioeconomic factors. Given the limited study of the natural history of treated and untreated DED, this remains an important area for future research.

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          Most cited references177

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          Prevalence of dry eye syndrome among US women.

          Dry eye syndrome (DES) is believed to be one of the most common ocular problems in the United States (US), particularly among older women. However, there are few studies describing the magnitude of the problem in women and how this may vary with demographic characteristics. Cross-sectional prevalence survey. we surveyed 39,876 US women participating in the Women's Health Study about a history of diagnosed DES and dry eye symptoms. we defined DES as the presence of clinically diagnosed DES or severe symptoms (both dryness and irritation constantly or often). We calculated the age-specific prevalence of DES and adjusted the overall prevalence to the age distribution of women in the US population. We used logistic regression to examine associations between DES and other demographic factors. The prevalence of DES increased with age, from 5.7% among women or = 75 years old. The age-adjusted prevalence of DES was 7.8%, or 3.23 million women aged > or = 50 in the US. Compared with Whites, Hispanic (odds ratio [OR] = 1.81, confidence interval [CI] = 1.18-2.80) and Asian (OR = 1.77, CI = 1.17-2.69) women were more likely to report severe symptoms, but not clinically diagnosed DES. There were no significant differences by income (P([trend]) =.78), but more educated women were less likely to have DES (P([trend]) =.03). Women from the South had the highest prevalence of DES, though the magnitude of geographic differences was modest. Dry eye syndrome leading to a clinical diagnosis or severe symptoms is prevalent, affecting over 3.2 million American women middle-aged and older. Although the condition is more prevalent among older women, it also affects many women in their 40s and 50s. Further research is needed to better understand DES and its impact on public health and quality of life.
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            The international workshop on meibomian gland dysfunction: report of the definition and classification subcommittee.

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              The lack of association between signs and symptoms in patients with dry eye disease.

              The purpose of this report was to examine the relation between clinical tests and dry eye symptoms in patients with dry eye disease. Seventy-five patients with dry eye disease (ICD-9 code 375.15) were included in these analyses. There was no specific entry criterion for enrollment in addition to a previous dry eye diagnosis in this clinic-based sample. Patients represented varying types and severity of dry eye disease and were previously diagnosed by clinic attending doctors in this university clinic setting. The study examination included a symptom interview that assessed dryness, grittiness, soreness, redness, and ocular fatigue. The interview was followed by a clinical dry eye examination conducted in the following sequence: meibomian gland assessment, tear meniscus height, tear breakup time test, fluorescein staining, the phenol red thread test, Schirmer test, and rose bengal staining. Partial Spearman correlation coefficients, the Wilcoxon rank sum test, chi 2 test, and multivariate logistic regression were used to evaluate the relationship between dry eye tests and symptoms. Symptoms were generally not associated with clinical signs in patients with dry eye disease. There were no significant correlations between signs and symptoms after adjustment for age and artificial tear use. The rank of each clinical test result did not statistically differ when stratified by the presence of patient symptoms in Wilcoxon rank sum analyses. Likewise, the frequency of patient symptoms did not differ statistically when stratified by a positive clinical test result in chi 2 analyses. In multivariate logistic regression analyses, no clinical test significantly predicted frequently reported symptoms after adjustment for age and artificial tear use. These results suggest a poor relation between dry eye tests and symptoms, which represents a quandary in dry eye clinical research and practice.
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                Author and article information

                Journal
                The Ocular Surface
                The Ocular Surface
                Elsevier BV
                15420124
                July 2017
                July 2017
                : 15
                : 3
                : 334-365
                Article
                10.1016/j.jtos.2017.05.003
                28736337
                9deacc17-e31f-469b-b862-0b149bdcdedb
                © 2017
                History

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