2019 Der Ophthalmologe : Zeitschri…

[Clinical picture and diagnosis of neurotrophic keratopathy].

Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft Vol. 116 (2) : 120-126 • Feb 2019

BACKGROUND: Neurotrophic keratopathy is characterized by corneal surface alterations, persistent corneal epithelial defects and/or corneal ulcerations associated with corneal sensory abnormalities. Due to the variable clinical picture neurotrophic keratopathy is often overlooked or diagnosed too late in the course of the disease. OBJECTIVE: Discussion of the clinical picture of neurotrophic keratopathy and recommendations for correct diagnosis. MATERIAL AND METHODS: Analysis of the existing literature and discussion of basic recent publications. RESULTS: Neurotrophic keratopathy is defined as a disease related to alterations in corneal nerves leading to impairment in sensory and trophic function with consequent breakdown of the corneal epithelium affecting health and integrity of the tear film, epithelium and stroma. It can occur with infections, autoimmune diseases, after trauma or ocular surgery, with intracranial neoplasia, in systemic diseases and genetic syndromes. It is classified into three stages: mild (epithelial changes without epithelial defects), moderate (epithelial defects) and severe (stromal involvement). The clinical hallmark is reduced or absent corneal sensation. Therefore, corneal sensitivity testing is essential in the diagnosis of neurotrophic keratopathy along with the patient history, clinical examination and diagnostic tests, such as vital stains and, if possible, in vivo confocal microscopy. CONCLUSION: The correct diagnosis and classification of neurotrophic keratopathy enable a stage-adapted step-ladder therapeutic approach with subsequent reduction of progression and complications of the disease.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.