Document Detail


Corneal biomechanical properties and their correlates with refractive error.
MedLine Citation:
PMID:  22212094     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Purpose:  The aim was to study the link between refractive error and corneal biomechanical properties. Methods:  Corneal hysteresis and corneal resistance factor were measured using the Ocular Response Analyser in 117 participants. The spherical equivalent refractive error of the participants ranged between -9.00 and +3.00 D. Results:  Corneal hysteresis and corneal resistance factor showed a considerable degree of variability between individuals. Corneal hysteresis was not found to correlate significantly with refractive error (p = 0.82). Corneal resistance factor showed a weak but significant correlation with spherical equivalent refractive error (r(2) = 0.04; p = 0.03), with myopic participants exhibiting a higher corneal resistance factor compared with non-myopes. Conclusions:  Refractive error accounted for four per cent of the variance in corneal resistance factor measurements, indicating that patients with mild to moderate myopia have higher corneal resistance compared with non-myopes.
Authors:
Hema Radhakrishnan; Marco A Miranda; Clare O'Donnell
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Clinical & experimental optometry : journal of the Australian Optometrical Association     Volume:  95     ISSN:  1444-0938     ISO Abbreviation:  Clin Exp Optom     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-01-03     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8703442     Medline TA:  Clin Exp Optom     Country:  Australia    
Other Details:
Languages:  eng     Pagination:  12-8     Citation Subset:  IM    
Copyright Information:
© 2011 The Authors. Clinical and Experimental Optometry © 2011 Optometrists Association Australia.
Affiliation:
Faculty of Life Sciences, University of Manchester, Manchester, United Kingdom, E-mail: Hema.Radhakrishnan@manchester.ac.uk.
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