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Emergency treatment of chemical and thermal eye burns
Open accessAbstract
ABSTRACT.: Chemical and thermal eye burns account for a small but significant fraction of ocular trauma. The speed at which initial irrigation of the eye begins, has the greatest influence on the prognosis and outcome of eye burns. Water is commonly recommended as an irrigation fluid. However, water is hypotonic to the corneal stroma. The osmolarity gradient causes an increased water influx into the cornea and the invasion of the corrosive substance into deeper corneal structures. We therefore recommend higher osmolarities for the initial rinsing to mobilize water and the dissolved corrosives out of the burnt tissue. Universal systems such as amphoteric solutions, which have an unspecific binding with bases and acids, provide a convenient solution for emergency neutralisation. Both conservative anti‐inflammatory therapy and early surgical intervention are important to reduce the inflammatory response of the burnt tissue. In most severe eye burns, tenonplasty re‐establishes the conjunctival surface and limbal vascularity and prevents anterior segment necrosis.
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Cited by
Walsh, K., Hughes, I., & Dheansa, B. (2022) · British Journal of Hospital Medicine · doi:10.12968/hmed.2020.0056 · Cited by 23
Metadata
- Authors
- Kuckelkorn, R., Schrage, N., Keller, G., & Redbrake, C.
- Venue
- Acta Ophthalmologica Scandinavica
- Publisher
- Wiley
- Published
- 2002-02
- Volume
- 80
- Issue
- 1
- Pages
- 4-10
- ISSN
- 1395-3907 (ISSN-L)
- 1600-0420
- OpenAlex
- W2009670667
- Cited by
- 185
- References
- 0
- FWCI
- 3.49
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kuckelkorn, R., Schrage, N., Keller, G., & Redbrake, C. (2002). Emergency treatment of chemical and thermal eye burns. Acta Ophthalmologica Scandinavica. https://doi.org/10.1034/j.1600-0420.2002.800102.x
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.