Chandra V Mickles1, Beth T Kinoshita2, Dawn Lam3, Heidi Wagner4, Aaron B Zimmerman4, Luigina Sorbara5, G Lynn Mitchell4, Bernard Rosner6, Kathryn Richdale7. 1. Nova Southeastern University, College of Optometry, Ft. Lauderdale, FL, USA. Electronic address: cmickles@nova.edu. 2. Pacific University, College of Optometry, Forest Grove, OR, USA. 3. Marshall B. Ketchum University, College of Optometry, Fullerton, CA, USA. 4. The Ohio State University, College of Optometry, Columbus OH, USA. 5. University of Waterloo, School of Optometry, Waterloo, Ontario, Canada. 6. Harvard University, T. H Chan School of Public Health, Boston, MA, USA. 7. University of Houston, College of Optometry, Houston, TX, USA.
Abstract
PURPOSE: To test the Contact Lens Assessment in Youth Contact Lens Risk Survey (CLRS) scoring algorithm in soft contact lens (SCL) wearers presenting with SCL-related adverse events and healthy matched controls. METHODS: This prospective case-control study compared CLRS responses in SCL wearers presenting with symptomatic red eyes (Cases) with age-, sex- and site-matched healthy SCL wearers (Controls) at six locations across North America. Responses to individual questions from Cases and Controls were analyzed using either the Pearson, Mantel-Haenszel chi-square, or Fisher's exact test. Differences in the CLRS scores were compared using t-tests. RESULTS: A total of 171 SCL wearers were enrolled (n = 57 Cases, 114 Controls). Cases were adjudicated to consensus and classified as contact lens-related serious and significant (S&S) or non-serious events. S&S Cases scored significantly higher on the CLRS (56.1 ± 11.1) than either their matched Controls (44.3 ± 11.1) (P < 0.001) or the non-Serious Cases (44.8± 12.8 P = 0.002). Scores of non-serious Cases were not significantly different than scores of their Controls (43.4 ± 10.7, P = 0.33) CONCLUSIONS: The CLRS scoring algorithm discriminated between SCL wearers presenting with S&S CL-related adverse events from healthy SCL wearers and those with non-serious events. This survey and scoring system could help practitioners identify patients at greatest risk for CL-related adverse events and support targeted interventions aimed at reducing risk behaviors.
PURPOSE: To test the Contact Lens Assessment in Youth Contact Lens Risk Survey (CLRS) scoring algorithm in soft contact lens (SCL) wearers presenting with SCL-related adverse events and healthy matched controls. METHODS: This prospective case-control study compared CLRS responses in SCL wearers presenting with symptomatic red eyes (Cases) with age-, sex- and site-matched healthy SCL wearers (Controls) at six locations across North America. Responses to individual questions from Cases and Controls were analyzed using either the Pearson, Mantel-Haenszel chi-square, or Fisher's exact test. Differences in the CLRS scores were compared using t-tests. RESULTS: A total of 171 SCL wearers were enrolled (n = 57 Cases, 114 Controls). Cases were adjudicated to consensus and classified as contact lens-related serious and significant (S&S) or non-serious events. S&S Cases scored significantly higher on the CLRS (56.1 ± 11.1) than either their matched Controls (44.3 ± 11.1) (P < 0.001) or the non-Serious Cases (44.8± 12.8 P = 0.002). Scores of non-serious Cases were not significantly different than scores of their Controls (43.4 ± 10.7, P = 0.33) CONCLUSIONS: The CLRS scoring algorithm discriminated between SCL wearers presenting with S&S CL-related adverse events from healthy SCL wearers and those with non-serious events. This survey and scoring system could help practitioners identify patients at greatest risk for CL-related adverse events and support targeted interventions aimed at reducing risk behaviors.