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An algorithm for thepreoperative diagnosis and treatment ofocular surface disorders

Author  Chris E. Starr MD
Additional Contributors  Preeya K. Gupta, MD, Marjan Farid, MD, Kenneth A. Beckman, MD,Clara C. Chan, MD, FRCSC, Elizabeth Yeu, MD, Jose A.P. Gomes, MD, PhD, Brandon D. Ayers, MD,John P. Berdahl, MD, Edward J. Holland, MD, Terry Kim, MD, Francis S. Mah, MD,
Date  June 06, 2019
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Any ocular surface disease (OSD), but most commonly, dry-eyedisease (DED), can reduce visual quality and quantity andadversely affect refractive measurements before keratorefractiveand phacorefractive surgeries. In addition, ocular surgery canexacerbate or induce OSD, leading to worsened vision,increased symptoms, and overall dissatisfaction postoperatively.Although most respondents of the recent annual American Soci-ety of Cataract and Refractive Surgery (ASCRS) Clinical Surveyrecognized the importance of DED on surgical outcomes,many were unaware of the current guidelines and most werenot using modern diagnostic tests and advanced treatments.To address these educational gaps, the ASCRS Cornea ClinicalCommittee developed a new consensus-based practical diag-nostic OSD algorithm to aid surgeons in efficiently diagnosingand treating visually significant OSD before any form of refractivesurgery is performed. By treating OSD preoperatively, postoper-ative visual outcomes and patient satisfaction can be signifi-cantly improved.

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