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The British journal of ophthalmology · 2025

Evaluation of a new classification system for measuring the progression of ocular cystinosis: an analysis of 64 patients.

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Liang Hong, Baudouin Christophe, Giordano Vincenzo

Аннотация

AIMS: To analyse the correlation between the physician categories defined by the 3C classification (crystal-complication-compliance) and the ocular manifestations of nephropathic cystinosis.

METHODS: The last visit data of 64 patients aged between 2 and 64 attending the centre for management of cystinosis were reviewed. Each patient had been placed into one of four categories by the clinician based on disease severity. The correlation between these categories and markers of the disease was assessed using Pearson's correlation.

RESULTS: Photophobia (0.647, p<0.001), visual acuity (-0.695, p<0.001), Gahl's score (0.603, p<0.001), optical coherence tomography (OCT)% (0.713, p<0.001) and in vivo confocal microscopy (IVCM)% (0.845, p<0.001), showed a strong, highly significant correlation between key signs and symptoms and the 3C classification. Corneal complications were strongly correlated with the 3C classification with scores of 0.802 (p<0.001), 0.634 (p<0.001), 0.726 (p<0.001) and 0.677 (p<0.001) for band keratopathy, keratitis, neovascularisation and corneal ulceration, respectively. 75% of those classified as most severe had all four complications. The use of artificial tears and ciclosporin strongly correlated with the categorisation, 0.574 (p<0.001) and 0.631 (p<0.001), respectively. With all cystinosis markers, the 3C classification showed a stronger correlation than age and crystal scores by Gahl's and OCT. Category and age were strongly correlated (0.656, p<0.001). There was a moderate negative correlation with therapeutic compliance with cysteamine eye-drops and categorisation (-0.422, p<0.001). The compliance pattern observed may help to explain why the disease progresses in some patients.

CONCLUSION: 3C classification is a reliable tool to categorise ocular cystinosis and can support clinical management decisions allowing more reliable comparison of datasets.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты