Antibiotic resistance of bacterial pathogens isolated from the conjunctiva in the Antibiotic Resistance Monitoring in Ocular micRoorganisms (ARMOR) surveillance study (2009-2021).

Antibiotic resistance in bacterial ocular infections is of significant clinical concern and may affect treatment outcomes. We report on in vitro antibiotic susceptibility rates and trends among conjunctival-sourced isolates collected in the Antibiotic Resistance Monitoring in Ocular micRoorganisms (ARMOR) surveillance study. A total of 2214 conjunctival isolates (918 Staphylococcus aureus, 589 coagulase-negative staphylococci [CoNS], 194 Streptococcus pneumoniae, 171 Pseudomonas aeruginosa, and 342 Haemophilus influenzae) obtained between 2009-2021 were analyzed. Staphylococci were commonly resistant to azithromycin (≥54.8%) and oxacillin (≥29.3%). Resistance among S. pneumoniae isolates was notable for azithromycin (34.0%) and penicillin (28.9%), while P. aeruginosa and H. influenzae isolates were highly susceptible to most tested antibiotics. Methicillin-resistant staphylococci demonstrated greater concurrent resistance to other antibiotics than methicillin-susceptible isolates and exhibited high rates of multidrug resistance (≥74.0%). Among staphylococci, antibiotic resistance increased with patient age, and there were small decreases in resistance to several drugs over the 13-year period. These findings indicate that resistance to antibiotics routinely used in ophthalmic practice remains high among conjunctival isolates.

Intereye Agreement in Dry-Eye Signs in the DREAM Study: Implications for Future Dry-Eye Trials.

PURPOSE: To investigate intereye agreement in dry-eye disease (DED) signs in the Dry Eye Assessment and Management study. METHODS: Tear break-up time (TBUT), Schirmer test, conjunctival staining, corneal staining, meibomian gland dysfunction (MGD), and tear osmolarity were measured at baseline, 3, 6, and 12 months. Intereye agreement was assessed by intraclass correlation coefficient, weighted kappa, and percentage of participants with absolute intereye difference (AID) exceeding a clinically significant threshold (2 points for conjunctival staining and MGD, 2 seconds for TBUT, 3 points for corneal staining, 5 mm/5 minutes for Schirmer test, and 8 mOsms/L for osmolarity). The worse eye at each visit for each DED sign was determined as the eye with a sign worse than the contralateral eye by at least the clinically significant threshold. RESULTS: DED signs had moderate-to-good intereye agreement with intraclass correlation coefficient ranging from 0.45 (tear osmolarity) to 0.81 (corneal staining and Schirmer test) and weighted kappa from 0.58 (plugging) to 0.69 (lid secretion). Percentage of participants exceeding threshold AID was 15% to 20% for conjunctival staining, 11% to 15% for TBUT, 17% to 21% for MGD, 13% to 18% for corneal staining, 21% to 23% for Schirmer test, and 44% to 47% for osmolarity. The eye with a worse DED sign ranged between 36% (TBUT) and 80% (osmolarity) of participants. CONCLUSIONS: Participants demonstrated moderate-to-good intereye agreement, yet a substantial portion showed clinically significant intereye differences in each sign. The worse eye was not the same eye in the majority during follow-up. These findings suggest considering signs from both eyes in future DED trials.

A latent profile analysis of tear cytokines and their association with severity of dry eye disease in the Dry Eye Assessment and Management (DREAM) study.

This study is to identify subgroups of DED patients with different tear cytokine profiles and compare their DED symptoms and signs among subgroups. Baseline tear cytokines (IL-1ß, IL-6, IL-8, IL-10, IL-17A, IFN-γ and TNF-α) were measured using a magnetic bead assay. DED symptoms were assessed by Ocular Surface Disease Index (OSDI) and signs were assessed by corneal and conjunctival staining, tear break-up time (TBUT), Schirmer's test, tear osmolarity and meibomian gland dysfunction (MGD). Latent profile analysis was performed to identify subgroups, and their scores of DED symptoms and signs were compared using generalized linear regression. Among 131 patients with total tear volume > 4 µl from both eyes, subgroup 1 (n = 23) significantly higher in IL-6 and IL-8 (all p < 0.001) and subgroup 2 (n = 108) significantly higher in IL-10 (p = 0.03), IL-17A (p < 0.001), and IFN-γ (p < 0.001). Both subgroups were similar in demographics and DED symptoms, but subgroup 1 had significantly more severe DED signs: higher conjunctival staining (3.38 vs. 2.69, p = 0.04), corneal staining (4.26 vs. 3.03, p = 0.03), lower Schirmer's test score (8.20 vs. 13.72, p < 0.001), and higher composite severity score of DED sign (0.62 vs. 0.45, p = 0.002). We identified two DED subgroups with different profiles of tear cytokines. Patients in these subgroups differed significantly in DED signs, supporting the inflammation's role in DED development and progression.

Association of Systemic Markers of Inflammation with Signs and Symptoms of Dry Eye Disease and Sjogren's Syndrome in the Dry Eye Assessment and Management (DREAM©) Study.

PURPOSE: To evaluate the possible role of systemic inflammation in dry eye disease (DED) via systemic inflammatory marker associations with DED signs and symptoms, and an analysis of a subgroup with Sjogren's Syndrome (SS). METHODS: Participant serums were analyzed using line immunoassays (LIAs) for the presence of antibodies against 34 systemic inflammatory markers. Using the 2012 American College of Rheumatology definition, the 481 participants were categorized into group 1 (SS; n = 52), group 2 (autoimmune disease not including SS; n = 66), or group 3 (control, i.e. no autoimmune disease; n = 363). RESULTS: 3 markers were positive in ≥10% of participants: Ro52 (19.3%), Scl-70 (15.0%), CN-1A (14.2%). 2 markers were positively associated with symptoms: PM-Scl100 (p = 0.02), Sm (p = 0.009). 5 markers were positively associated with signs: U2SnRNP A', Ro52, La, DNA, Ro60. SS participants showed significantly higher positivity for 4 markers compared to participants with no autoimmune disease: PL-7 (p = 0.02), Ro52 (p < 0.0001), La (p < 0.0001), Ro60 (p < 0.0001). SS participants showed significantly higher positivity for 3 markers compared to participants with another autoimmune disease: Ro52 (p < 0.0001), La (p = 0.002), Ro60 (p < 0.0001). CONCLUSIONS: This study did not show evidence of significant systemic inflammation in participants with moderate-to-severe DED, based on the markers tested. PM-Scl100 and Sm may be associated with more severe DED symptoms. U2SnRNP A', Ro52, La, DNA, and Ro60 may be associated with more severe ocular surface disease. Ro52 and PL-7 may be diagnostic markers for SS. Future research evaluating these relationships and their clinical significance is needed.

Two-Year Progression of Dry Eye Disease in Dry Eye Assessment and Management Study.

PURPOSE: The purpose of this study was to evaluate the progression of dry eye disease (DED) symptoms and signs over 2 years through a secondary analysis of data collected from the Dry Eye Assessment and Management study. METHODS: Participants who were assigned to omega-3 fatty acid in the first year were rerandomized in the second year to either continue with omega-3 fatty acid or switch to placebo. At baseline, 3, 6, 12, 18, and 24 months, DED symptoms were evaluated by using the Ocular Surface Disease Index and the Brief Ocular Discomfort Index (BODI). DED signs were assessed using conjunctival staining, corneal staining, tear break-up time, Schirmer testing, and keratography measures. Medication usage was documented at each visit. Because the treatment and placebo groups displayed no statistical differences in both signs and symptoms, data from the 43 participants were combined to assess longitudinal changes in symptoms and signs. RESULTS: At 3 months after omega-3 fatty acid treatment, there were significant improvements from baseline in Ocular Surface Disease Index and Brief Ocular Discomfort Index scores (all P ≤ 0.002) and less use of artificial tears or gel (P = 0.02), but between 3 and 24 months, no significant changes in symptoms and treatments were observed (P ≥ 0.06). Except for a significant improvement in conjunctival staining score over 2 years (P = 0.001), there were no significant sign changes in corneal staining (P = 0.32), tear break-up time (P = 0.43), Schirmer test (P = 0.09), and additional measures (all P ≥ 0.07). CONCLUSIONS: We did not observe a progression of DED signs or symptoms over a 2-year period, except for a probable placebo response in symptoms in the first 3 months and an improvement in conjunctival staining score.

Association between systemic medication use and severity of dry eye signs and symptoms in the DRy eye assessment and management (DREAM) study.

PURPOSE: Some systemic medications are reported to be associated with dry eye disease (DED), yet their associations with the severity of DED signs and symptoms are not well studied. To evaluate these associations, we performed a secondary analysis of data from the DRy Eye Assessment and Management (DREAM) Study. METHODS: Participants (N = 535) were assessed for DED signs using tear break-up time (TBUT), Schirmer testing, corneal fluorescein staining, conjunctival lissamine green staining, meibomian gland dysfunction (MGD), and tear osmolarity and DED symptoms using the Ocular Surface Disease Index (OSDI). We derived a composite signs severity score from the 6 DED signs and categorized participant-reported systemic medications into antidepressants, antihistamines, aspirin, corticosteroids, diuretics, nonsteroidal anti-inflammatory drugs, proton pump inhibitors, statins, vitamin D3, and medications for diabetes mellitus, hypertension, hypothyroidism, migraine, and seizure. Generalized linear models were used to compare DED symptom and sign scores between medication users and non-users, with adjustment for factors associated with DED severity. RESULTS: Compared to non-users, antihistamine users had lower TBUT (p = 0.01) and higher OSDI score (p = 0.02); aspirin users had lower TBUT (p = 0.02); corticosteroid users had lower TBUT (p = 0.02), lower Schirmer test scores (p = 0.03), higher cornea fluorescein staining (p = 0.01), higher composite severity score (p = 0.01), and higher OSDI score (p = 0.03); seizure medication users had higher composite severity score (p = 0.02); vitamin D3 users had lower TBUT (p = 0.001) and greater MGD (p = 0.03); and diuretic users had less MGD (p = 0.03). CONCLUSIONS: Certain systemic medications may be associated with more severe DED. This may guide prescription practices in patients with DED.