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Validation of an Objective Measure of Dry Eye Severity.

ABSTRACT: Purpose:We evaluated the validity of a single dry eye severity measure estimated using Rasch analysis from a battery of clinical tests and patient symptoms. Methods:This study included 203 dry eye patients and 51 controls. Administered tests included the Ocular Surface Disease Index (OSDI), tear osmolarity, Schirmer's test, noninvasive break-up time, and ocular surface staining. Each of the 12 OSDI questions and each clinical test was defined to be a separate indicator to estimate a single dry eye severity measure from Rasch analysis. Measures of severity were estimated for each subject (person measures) and measures of sensitivity to severity were estimated for each sign and symptom (indicator measures). Results:The average severity measure for dry eye patients was significantly greater than the average severity measure for controls (-0.39 vs. -1.2, P < 0.001). The distribution of indicator measures was well matched to the distribution of person measures. No indicator carried >10% of the total information about dry eye severity carried by all indicators together. However, the most informative indicators were corneal and conjunctival staining. Conclusions:Our study indicated that there is no single "best" dry eye test. Clinical tests and symptoms should be used in combination to estimate a single dry eye severity measure. Translational Relevance:There is no single "gold standard" testing method for dry eye that correlates with the severity of disease. We propose that Rasch analysis can be used to calculate an objective dry eye severity score from a battery of clinical indicators.

SUBMITTER: Karakus S

PROVIDER: S-EPMC6183328 | biostudies-other | 2018 Sep

REPOSITORIES: biostudies-other

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Validation of an Objective Measure of Dry Eye Severity.

Karakus Sezen S Akpek Esen K EK Agrawal Devika D Massof Robert W RW

Translational vision science & technology 20180901 5

<h4>Purpose</h4>We evaluated the validity of a single dry eye severity measure estimated using Rasch analysis from a battery of clinical tests and patient symptoms.<h4>Methods</h4>This study included 203 dry eye patients and 51 controls. Administered tests included the Ocular Surface Disease Index (OSDI), tear osmolarity, Schirmer's test, noninvasive break-up time, and ocular surface staining. Each of the 12 OSDI questions and each clinical test was defined to be a separate indicator to estimate ...[more]

PMID: 30323999

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Project description:PurposeCertain systemic conditions are reported to be risk factors for dry eye disease (DED), but their associations with DED severity are not well studied. We evaluated whether systemic conditions reported to be DED risk factors are associated with severity of DED signs and symptoms.DesignSecondary analysis of data from the Dry Eye Assessment and Management Study, a large-scale multicenter randomized clinical trial of patients with moderate to severe DED.ParticipantsFive hundred thirty-five adult patients with moderate to severe DED from 27 United States centers.MethodsPatients reported their medical history at baseline. They underwent ocular surface examinations and symptom evaluation using standardized protocols at baseline, 6 months, and 12 months. We analyzed the associations of systemic conditions (a systemic disease or smoking history) reported as potential DED risk factors with the severity of DED signs and symptoms using generalized linear regression models adjusted by age, gender, race, and visit.Main outcome measuresDry eye disease symptoms assessed using the Ocular Surface Disease Index (OSDI), 6 DED signs (tear film break-up time, anesthetized Schirmer testing, corneal fluorescein staining, conjunctival lissamine green staining, tear osmolarity, and meibomian gland dysfunction), and a composite signs severity score from 0 to 1 (1 = most severe).ResultsThe mean age was 58 years; 81% were women. More severe DED signs were associated significantly with Sjögren syndrome (mean composite signs severity score 0.52 with disease vs. 0.43 without disease; P < 0.001), facial rosacea (0.47 vs. 0.43; P = 0.002), rheumatoid arthritis (0.47 vs. 0.42; P = 0.002), peripheral artery disease (0.50 vs. 0.43; P < 0.001), and daily smoking history (0.45 vs. 0.43; P = 0.047). Thyroid dysfunction, osteoarthritis, diabetes, irritable bowel syndrome, hypercholesterolemia, hypertension, and hypertriglyceridemia were not associated significantly with DED signs. No conditions were associated significantly with OSDI.ConclusionsIn this large, well-characterized cohort of patients with DED assessed under standardized procedures, patients with certain systemic diseases and smoking history showed more severe DED signs compared with patients without the conditions. The profile of significant DED signs varied by systemic condition, reflecting different DED causes. Understanding the systemic conditions and underlying causes that predispose some patients to severe DED can improve management.

Project description:PurposeTo evaluate the association of dry eye disease (DED) severity with work productivity and activity impairment.DesignLongitudinal, observational study within a randomized clinical trial.ParticipantsPeople with moderate to severe DED who enrolled in the multicenter Dry Eye Assessment and Management (DREAM) study.MethodsParticipants completed the Work Productivity and Activity Impairment questionnaire at 0, 6, and 12 months and were assessed in parallel for symptoms and signs (conjunctival and corneal staining, tear film break-up time [TBUT], and Schirmer test) of DED. Associations of work productivity and activity impairment with symptom and signs were evaluated with linear regression models using generalized estimating equations and controlling for demographics and comorbidities.Main outcome measuresWork productivity (employment, absenteeism, presenteeism, overall work impairment) and activity impairment.ResultsAmong 535 participants at baseline, 279 (52%) were employed, and mean activity impairment was 24.5%. Among those employed, the mean score was 2% for absenteeism, 18% for presenteeism, and 19.6% for overall work impairment. Higher Ocular Surface Disease Index (OSDI) symptom scores were associated with greater absenteeism, presenteeism, and activity impairment. Overall work impairment and activity impairment were greater by 4.3% and 4.8%, respectively, per 10-unit difference in OSDI score (P < 0.001). Longitudinal increases (worsening) in OSDI scores were associated with increasing impairment in work and non-work-related activity: 2.0% and 3.1% per 10 units in OSDI, respectively (P < 0.01). Worse corneal staining and TBUT were associated with higher overall work impairment and activity level (P ≤ 0.04). However, longitudinal changes in these two signs were not associated with changes in work productivity or activity impairment.ConclusionsWorse symptoms of DED are associated with decreased work productivity and activity level, both cross-sectionally (interindividually) and longitudinally within person (intraindividually). Corneal staining and TBUT are associated with interindividual differences but not intraindividual changes in work productivity and activity impairment.

Project description:PurposeTo investigate the effects of high-intensity use of smartphones on ocular surface homeostasis and to explore whether high-intensity use of handheld digital devices can cause false increase of dry eye diagnostic rate.MethodsIn this prospective self-control study, 60 subjects (120 eyes) were recruited and asked to read on smartphones provided by the same manufacturer for two consecutive hours. This study was conducted during 8:00 - 10:00 AM to eliminate the influence of digital equipment used the previous day. Ophthalmological examinations [non-invasive tear breakup time (NIBUT), fluorescein breakup time (FBUT), Schirmer I test, corneal fluorescein staining (CFS), bulbar conjunctival redness and meibomian gland (MG) assessment] and a questionnaire survey were conducted before and after the reading test. Based on the collected data, the changes in ocular surface damage and subjective symptoms of the subjects were evaluated, and the differences in the diagnostic rate of dry eye before and after high-intensity use of smartphones were compared.ResultsThe diagnostic rate of dry eye was sharply increased (61.7% vs. 74.2%). The severity of dry eye also changed significantly, and the moderate and severe degree increased after reading (10% vs. 15%; 5% vs. 10.8%). The aggravated severity subjects had lower MG expressibility and more evident bulbar conjunctival redness compared to the non-aggravated severity subjects. After 2 h of continuous reading, NIBUT-First, NIBUT-Average and FBUT-Average were significantly decreased, while the proportion of BUT ≤ 5 s increased significantly. Non-invasive keratograph tear meniscus height(NIKTMH) decreased significantly compared to the baseline level, while the proportion of NIKTMH<0.20 mm increased significantly. No significant difference was observed in the Schirmer I test and CFS score between the two groups. Compared to the baseline, evident aggravation was observed in bulbar conjunctival redness. The Ocular Surface Disease Index (OSDI) was significantly higher than the baseline after the reading test.ConclusionDiagnostic indicators related to dry eye are rapidly deteriorating after high-intensity smartphone use, especially those with lower MG expressibility and ocular redness. High-intensity smartphone use can increase the false positive rate of dry eye diagnosis by disturbing ocular surface homeostasis.

Project description:ObjectiveTo investigate the clinical effects of IRT5 probiotics in the environmental dry eye model.MethodsEight week old male C57BL/6 mice were randomly divided into two groups; control group (n = 16) received oral gavage of 300 μL phosphate-buffered saline (PBS) alone once daily, IRT5 group (n = 9) received oral gavage of 1 x 109 CFU IRT5 probiotics powder in 300 μL PBS once daily, both groups for 11 to 12 days. Simultaneously, all mice underwent dry eye induction. Tear secretion, corneal staining and conjunctival goblet cell density were evaluated. Quantative real-time polymerase chain reaction (RT-PCR) for inflammation-related markers was performed. 16S ribosomal RNA of fecal microbiome was analyzed and compositional difference, alpha and beta diversities were assessed.ResultsThere was no difference in NEI score but significant increase in tear secretion was observed in IRT5 group (p < 0.001). There was no significant difference in goblet cell density between groups. Quantative RT-PCR of cornea and conjunctiva revealed increased TNF-α expression in IRT5 group (p < 0.001) whereas other markers did not significantly differ from control. IRT5 group had significantly increased species diversity by Shannon index (p = 0.041). Beta diversity of genus by UniFrac principle coordinates analysis showed significant distance between groups (p = 0.001). Compositional differences between groups were observed and some were significantly associated with tear secretion. Multivariate linear regression analysis revealed Christensenellaceae (p = 0.009), Lactobacillus Helveticus group (p = 0.002) and PAC001797_s (p = 0.011) to strongly influence tear secretion.ConclusionIn experimental dry eye model, IRT5 probiotics treatment partially improves experimental dry eye by increasing tear secretion which was associated with and influenced by the change in intestinal microbiome. Also, intestinal microbiome may affect the lacrimal gland through a different mechanism other than regulating inflammation.

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Validation of an Objective Measure of Dry Eye Severity.

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Validation of an Objective Measure of Dry Eye Severity.

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