Abstract | PURPOSE: DESIGN: Retrospective case-control study. METHODS: Fifty eyes that developed ectasia and 50 control eyes with normal postoperative courses after LASIK were analyzed and compared using the previously described Ectasia Risk Score System, which assigns points in a weighted fashion to the following variables: topographic pattern, predicted residual stromal bed (RSB) thickness, age, preoperative corneal thickness (CT), and manifest refraction spherical equivalent (MRSE). RESULTS: In this series, 46 (92%) eyes with ectasia were correctly classified as being at high risk for the development of ectasia, while three (6%) controls were incorrectly classified as being at high risk for ectasia (P < 1 x 10(-10)). Significantly more eyes were classified as high risk by the ectasia risk score than by traditional screening parameters relying on abnormal topography or RSB thickness less than 250 micro (92% vs 50%; P < .00001). There was no difference in the sensitivity or specificity of the Ectasia Risk Score System in the population from which it was derived and this independent population of ectasia cases and controls. CONCLUSIONS: The Ectasia Risk Score System is a valid and effective method for detecting eyes at risk for ectasia after LASIK and represents a significant improvement over previously utilized screening strategies.
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Authors | J Bradley Randleman, William B Trattler, R Doyle Stulting |
Journal | American journal of ophthalmology
(Am J Ophthalmol)
Vol. 145
Issue 5
Pg. 813-8
(May 2008)
ISSN: 0002-9394 [Print] United States |
PMID | 18328998
(Publication Type: Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't, Validation Study)
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Topics |
- Adolescent
- Adult
- Case-Control Studies
- Corneal Diseases
(diagnosis, etiology)
- Diagnostic Techniques, Ophthalmological
- Dilatation, Pathologic
(diagnosis, etiology)
- Female
- Humans
- Keratomileusis, Laser In Situ
- Lasers, Excimer
- Male
- Mass Screening
- Middle Aged
- Preoperative Care
- Retrospective Studies
- Risk Assessment
- Sensitivity and Specificity
- Sickness Impact Profile
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