Stevens -Johnson syndrome (SJS) has manifestation through the exfoliation of epidermis and mucosaltissue. Ocular surface is usually affected in acute and chronic stage. The patients are usually suffered from chronic ocular sequelae including symblepharon, limbal stem cell deficiency, etc. Furthermore, ocular microbiome may also be altered in SJS. This is prospective, age and sex matched analytical study which including 20 chronic SJS patients and 20 healthy subjects for specimen collection from inferior conjunctiva for microbiome analysis by conventional cultures and next-Generation Sequencing (nGS) methods. Significant higher proportion of positive-cultured specimen was demonstrated in SJS group (SJS group 60%, healthy 10%, p-value = 0.001). In addition, NGS which providing high-throughput sequencing has demonstrated the greater diversity of microbial species. the higher proportion of pathogenic microorganisms including Pseudomonas spp., Staphylococcus spp., Streptococcus spp., Acinetobacter spp. was shown in SJS group. ocular surface in SJS is usually occupied by more diverse microorganisms with increased proportion of pathogenic species. This condition may affect chronic inflammation and opportunistic infections in SJS group. In order to prevent and treat infection in these patients, appropriate antibiotics based on bacterial examination should be considered as the first-line treatment in the SJS patients.Stevens -Johnson syndrome (SJS) is an abnormal immune-mediated responses stimulated by medications such as sulfonamides, allopurinol, cold medicines including paracetamol 1 and systemic infections caused by virus and mycoplasma. Incidence of SJS is 1.2-6 out of 1,000,000 persons per year 2 . Although the incidence of diseases is low, the mortality rate is high ranging from 1% to 5% 2 . Patients usually present with severe, acute blistering disorders that affect the skin and mucous membranes involving oral mucosa and ocular surface 3 . Ocular involvement has been reported in 25-75% of SJS patients 2 . In the acute phase, patients usually develop conjunctivitis, corneal abrasion, and pseudo-membrane formation. While chronic ocular sequelae develop in 35% of cases, including eyelid irregularity, symblepharon formation, limbal stem cell deficiency (LSCD), and keratinization, leading to poor vision 2 .Recent interests are focused in the change of ocular microbiomes in this devastating disease. Several studies reported alteration of the ocular microbiomes in SJS patients, compared to healthy subjects. In healthy eyes, the most common microorganisms are Staphylococcus coagulase negative, Corynebacterium, and Propionibacterium 4,5 which are mainly gram-positive bacteria colonized in the ocular surface. In SJS, more pathogenic species are found including gram-negative bacteria. Frizon, et al. reported different compositions of microorganisms in SJS patients consisting of 55% of gram-positive cocci, 19% of gram-positive bacilli, and 25% of gram-negative bacilli 4 . They also found that these pathogenic organisms showed...

No abstract

No abstract

Purpose To evaluate the association between symptoms and signs of dry eye diseases (DED) with corneal biomechanical parameters. Methods This cross-sectional study enrolled 81 participants without history of ocular hypertension, glaucoma, keratoconus, corneal edema, contact lens use, diabetes, and ocular surgery. All participants were evaluated for symptoms and signs of DED using OSDI questionnaire, tear film break-up time (TBUT), conjunctival and corneal staining (NEI grading) and Schirmer test. Corneal biomechanical parameters were obtained using Corvis ST. Mixed-effects linear regression analysis was used to determine the association between symptoms and signs of DED with corneal biomechanical parameters. Difference in corneal biomechanical parameter between participants with low (Schirmer value ≤10 mm; LT group) and normal (Schirmer value >10mm; NT group) tear production was analyzed using ANCOVA test. Results The median OSDI scores, TBUT, conjunctival and corneal staining scores as well as Schirmer test were 13±16.5 (range; 0–77), 5.3±4.2 seconds (range; 1.3–11), 0±1 (range; 0–4), 0±2 (ranges; 0–9) and 16±14 mm (range; 0–45) respectively. Regression analysis adjusted with participants’ refraction, intraocular pressure, and central corneal thickness showed that OSDI had a negative association with highest concavity radius (P = 0.02). The association between DED signs and corneal biomechanical parameters were found between conjunctival staining scores with second applanation velocity (A2V, P = 0.04), corneal staining scores with second applanation length (A2L, P = 0.01), Schirmer test with first applanation time (A1T, P = 0.04) and first applanation velocity (P = 0.01). In subgroup analysis, there was no difference in corneal biomechanical parameters between participants with low and normal tear production (P>0.05). The associations were found between OSDI with time to highest concavity (P<0.01) and highest displacement of corneal apex (HC-DA, P = 0.04), conjunctival staining scores with A2L (P = 0.01) and A2V (P<0.01) in LT group, and Schirmer test with A1T (P = 0.02) and HC-DA (P = 0.03), corneal staining scores with A2L (P<0.01) in NT group. Conclusions According to in vivo observation with Corvis ST, patients with DED showed more compliant corneas. The increase in dry eye severity was associated with the worsening of corneal biomechanics in both patients with low and normal tear production.

This cross-sectional, age- and gender-matched study included 20 eyes of non-diabetic subjects (non-DM group) and 60 eyes of type 2 diabetes mellitus (DM group). Subgroups of DM were classified by diabetic retinopathy (DR) staging into no DR (DM-no DR), non-proliferative DR (DM-NPDR), proliferative DR (DM-PDR), and by glycemic control (well-controlled DM; HbA1c < 7%, poorly controlled DM; HbA1c ≥ 7%). Conjunctival swabs were performed for ocular surface microbiome analysis using conventional culture and next-generation sequencing analysis (NGS). A higher culture-positive rate was found in DM (15%) than in non-DM group (5%) (p value = 0.437). Pathogenic organisms and antibiotic-resistant strains were detected in the DR groups (DM-NPDR and DM-PDR). The NGS analysis showed that potentially pathogenic bacteria such as Enterobacteriaceae, Neisseriaceae, Escherichia-Shigella, and Pseudomonas predominated in DM, especially in DR. There was dissimilarity in the ocular surface microbiome between DM and non-DM groups. The subgroup analysis showed that the DR group had significantly different microbial community from DM-no DR and non-DM groups (p value < 0.05). The microbial community in the poorly controlled DM was also significantly different from well-controlled DM and non-DM groups (p < 0.001). Using the NGS method, our study is the first to signify the importance of DR and glycemic control status, which affect the changes in the ocular surface microbiome.

The ocular surface microbiome is an essential factor that maintains ocular surface homeostasis. Since the ocular surface is continuously exposed to the external environment, its microbiome, tears, and local immunity are vital for maintaining normal conditions. Additionally, this microbiome helps prevent pathogen colonization, which commonly leads to opportunistic infection. The abnormal ocular surface microbiome has previously been reported in several conditions, including dry eyes, allergy, blepharitis, graft-versus-host disease (GVHD), and Stevens-Johnson syndrome (SJS). Several approaches were applied to identify the ocular microbiome, including conventional culture techniques and molecular sequencing techniques. By using 16s rRNA sequencing, alterations in the type, proportion, and composition of bacterial communities, described by alpha (α)-and beta (β)-diversity, were observed in SJS patients compared to the healthy group. Conventional culture techniques indicated a higher number of positive bacterial cultures in the SJS group, with a predominance of gram-positive cocci and gram-positive bacilli. Besides, there are increased variations and multiple detections of bacterial genera. Taken together, SJS causes structural changes in the ocular surface and significantly affects its microbiome. Further studies into the area of temporal relationship, metagenomics, proteomics, and metabolomics analysis of the microbiome will lead to a better understanding of this disease. Finally, the treatment using prebiotics and probiotics to re-establish the normal ocular ecosystem and bring back a healthy ocular surface await confirmation.

Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe cutaneous adverse drug reactions with high mortality rates. Its sequelae, such as blindness, persist even after recovery. Patients with SJS/TEN should be accurately diagnosed and receive appropriate treatment as soon as possible. Therefore, identifying the factors for severity prediction is necessary. We aimed to clarify the clinical parameters and biological markers that can predict acute severe ocular complications (SOCs) in SJS/TEN. This retrospective cross-sectional study enrolled 47 patients with SJS/TEN who were divided into two groups according to ocular severity at acute onset: non-severe ocular complications group (n = 27) and severe ocular complications group (n = 20). Multivariate logistic regression analysis revealed that disease severity (body surface area detachment ≥ 10%) was a predictive factor for acute SOCs, and older age (≥ 60 years) was marginally significantly predictive of SOCs. Serum biomarker levels of S100A8/A9 and granulysin were marginally significant and tended to increase in the SOC group. Therefore, during the early acute stage, focusing on disease severity, patient age, and serum inflammatory biomarkers (S100A8/A9 and granulysin) might help predict SOC progression in patients with SJS/TEN who need prompt and aggressive ocular management to prevent severe ocular sequelae.

Background Fungal keratitis is known as an important cause of sight threatening infection worldwide. Variation of clinical characteristics and treatment have been observed among different geographic regions. Currently, clinical data of fungal keratitis in South East Asia remain scarce. Methods A retrospective single study was conducted at King Chulalongkorn Memorial Hospital in Thailand. Medical records of patient with diagnosis of fungal keratitis between January 2016 and December 2018 were reviewed. Cases were identified using ICD-10 code. Data on demographics, clinical presentations, investigations and outcomes were collected. Mycological diagnosis was made in patients who had clinical presentation compatible with fungal keratitis and positive fungal detection in clinical specimen. Results During study period, fungal keratitis was diagnosed in 59 pts including 31 by mycological and 28 by clinical diagnosis. KOH preparation of corneal scraping was positive in 19 of 53 pts (35.8%). Culture from cornea, aqueous and vitreous yielded positive result in 18 of 53 (33.9%), 2 of 14 (14.3%), respectively. ITS sequence analysis was positive in 7 of 15 (46.7%) from cornea, 1 of 6 (16.7%) from aqueous and 2 of 2 (100%) from vitreous. Culture and molecular detection from clinical specimens provided additional mycological diagnosis in 8 and 5 cases with negative KOH preparation. Fusarium was the most common pathogen (33%) followed by Paecilomyces (9.7%), Aspergillus (6.4%), Candida (6.4%). Ten patients (32.2%) had only positive KOH preparation. All patients received treatment with topical antifungal agent, while 38 pts (64%) required systemic, 24 pts (40.7%) received intrastromal, 22 pts (37.2%) received intracameral and 3 pts (5.1%) received intravitreal antifungal therapy. Operation was performed in 21 pts (35.6%) which 6 (28.5%) required evisceration. Twenty-three patients (39%) had visual improvement after complete treatment. Conclusion Fungal keratitis is not an uncommon disease. Fusarium was the most common etiologic agent similar to study from other region. Unfavorable outcomes were observed in majority of cases. Appropriate fungal culture and molecular detection from clinical specimens can be considered as they may increase diagnostic yield in some patients. Disclosures All Authors: No reported disclosures