PropertyValue
?:abstract
  • PURPOSE: Assess epidermolysis bullosa (EB)-related corneal pathology using anterior segment optical coherence tomography (AS-OCT) and correlate imaging with clinical metrics in EB patients versus age-matched controls. METHODS: EB patients and controls were recruited during an EB conference (July 2018) and at Tufts Medical Center (June-August 2019). Subjects completed a questionnaire, had best corrected visual acuity (BCVA) tested, and underwent AS-OCT scanning. Stromal and epithelial thickness were measured. Depth, length, and type of the three largest lesions were assessed by a masked examiner using a novel pathology grading system. Multivariate analysis of AS-OCT findings and clinical metrics was performed. RESULTS: 62 EB patients and 60 age-matched controls were enrolled. Mean BCVA was 1.8 lines worse in patients (p < 0.001). Vision loss was associated with increased stromal thickness. Discrete lesions were seen in 60.2% of patient eyes, averaging 1.71 ±â€¯1.75 lesions in patients and 0.14 ±â€¯0.42 in controls (p < 0.001). Mean primary lesion depth was 151.88 ±â€¯97.49 µm in patients. Patients showed significant stromal thickening versus controls and lesions were most common in the periphery and inferiorly. Differences in frequency and duration of abrasions and severity of pain were all statistically and clinically significant in patients versus controls (p < 0.001). CONCLUSIONS: AS-OCT can visualize and quantify differences in the corneas of EB patients compared with age-matched controls. Novel findings include quantification of average depth, length, and severity of discrete lesions, and sparing of the superior quadrant from stromal thickening in EB patients. These results support use of AS-OCT and a questionnaire in clinical trials for new EB therapies.
is ?:annotates of
?:creator
?:journal
  • Ocular_surf
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Anterior-segment spectral domain optical coherence tomography in epidermolysis bullosa
?:type
?:who_covidence_id
  • #32976999
?:year
  • 2020

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