Literature DB >> 30920597

Clinical Evaluation and Validation of the Dutch Crosslinking for Keratoconus Score.

Robert P L Wisse1, Rob W P Simons2, Martijn J B van der Vossen1, Marc B Muijzer1, Nienke Soeters1, Rudy M M A Nuijts2, Daniel A Godefrooij1.   

Abstract

Importance: Defining keratoconus progression is fundamental in clinical decision making because crosslinking treatments are indicated when the disease is considered progressive. Currently, there is no consensus which parameters should be used to define progression. Objective: To assess and validate a novel clinical scoring system as an easy-to-use assessment tool for crosslinking treatment in patients with keratoconus. Design, Setting, and Participants: Prospective cohort study at 2 academic treatment centers. Patients with keratoconus referred between January 1, 2012, and June 30, 2014, with 2-year follow-up were included. Analysis began March 2017. Interventions: The Dutch Crosslinking for Keratoconus (DUCK) score is based on changes in 5 clinical parameters that are routinely assessed: age, visual acuity, refraction error, keratometry, and subjective patient experience. The DUCK score is derived by scoring 0 to 2 points per item, and cutoffs were determined by clinical experience. We compared the DUCK scores to the conventional 1.0-diopter increase in maximum keratometry criterion, within the last 12 months, in a longitudinal discovery and a validation cohort. Sensitivity analyses and intraitem correlations were performed. Main Outcomes and Measures: Overall treatment rate reduction and the duly withheld treatment rate.
Results: A total of 504 eyes of 388 patients were available for analysis on disease progression in the course of 12 and 24 months. Baseline patient characteristics of the discovery cohort and the validation cohort were comparable in terms of age (mean [SD], 26.8 [8.3] years vs 26.3 [9.1]), sex (216 of 332 [65%] vs 123 of 172 [72%] men), and maximum keratometry (mean [SD], 53.5 [7.1] vs 52.7 [6.3]). Adhering to the DUCK score, rather than maximum keratometry, was associated with a reduction in overall treatment rate by 23% (95% CI, 18%-30%), without increasing the risk of disease progression (ie, the rate of progression for both groups was equal; ±0%). The DUCK score appears to better identify eyes that were duly withheld treatment by 35% (95% CI, 22%-49%). Conclusions and Relevance: These results provide validation of the DUCK score as a tool to determine whether a crosslinking treatment might be warranted. Compared with the conventional maximum keratometry criterion of more than 1.0 diopter, the DUCK score may better select patients who might benefit from crosslinking treatment. Potentially, it may prevent unnecessary treatments, reduce exposure to treatment risks, and improve the cost effectiveness of crosslinking.

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Year:  2019        PMID: 30920597      PMCID: PMC6567860          DOI: 10.1001/jamaophthalmol.2019.0415

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  45 in total

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Authors:  A Rogier T Donders; Geert J M G van der Heijden; Theo Stijnen; Karel G M Moons
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2.  Collaborative Longitudinal Evaluation of Keratoconus (CLEK) Study: methods and findings to date.

Authors:  H Wagner; J T Barr; K Zadnik
Journal:  Cont Lens Anterior Eye       Date:  2007-05-03       Impact factor: 3.077

3.  A multivariate analysis and statistical model for predicting visual acuity and keratometry one year after cross-linking for keratoconus.

Authors:  Robert P L Wisse; Daniël A Godefrooij; Nienke Soeters; Saskia M Imhof; Allegonda Van der Lelij
Journal:  Am J Ophthalmol       Date:  2013-11-06       Impact factor: 5.258

4.  Quantitative Evaluation of the Natural Progression of Keratoconus Using Three-Dimensional Optical Coherence Tomography.

Authors:  Hisataka Fujimoto; Naoyuki Maeda; Ayumi Shintani; Tomoya Nakagawa; Mutsumi Fuchihata; Ritsuko Higashiura; Kohji Nishida
Journal:  Invest Ophthalmol Vis Sci       Date:  2016-07-01       Impact factor: 4.799

5.  United States Multicenter Clinical Trial of Corneal Collagen Crosslinking for Keratoconus Treatment.

Authors:  Peter S Hersh; R Doyle Stulting; David Muller; Daniel S Durrie; Rajesh K Rajpal
Journal:  Ophthalmology       Date:  2017-05-07       Impact factor: 12.079

6.  Corneal collagen crosslinking with riboflavin and ultraviolet-A light in progressive keratoconus: ten-year results.

Authors:  Frederik Raiskup; Anja Theuring; Lutz E Pillunat; Eberhard Spoerl
Journal:  J Cataract Refract Surg       Date:  2015-01       Impact factor: 3.351

7.  Factors Associated With Corneal Deformation Responses Measured With a Dynamic Scheimpflug Analyzer.

Authors:  Atsuya Miki; Naoyuki Maeda; Yasushi Ikuno; Tomoko Asai; Chikako Hara; Kohji Nishida
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8.  Effect of corneal cross-linking on contact lens tolerance in keratoconus.

Authors:  Metin Ünlü; Erdem Yüksel; Kamil Bilgihan
Journal:  Clin Exp Optom       Date:  2016-09-22       Impact factor: 2.742

9.  Complication and failure rates after corneal crosslinking.

Authors:  Tobias Koller; Michael Mrochen; Theo Seiler
Journal:  J Cataract Refract Surg       Date:  2009-08       Impact factor: 3.351

Review 10.  Visual acuity and its measurement.

Authors:  Christoph Kniestedt; Robert L Stamper
Journal:  Ophthalmol Clin North Am       Date:  2003-06
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1.  ABCD progression display for keratoconus progression: a sensitivity-specificity study.

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Journal:  Eye (Lond)       Date:  2022-07-22       Impact factor: 4.456

2.  Corneal densitometry in bilateral keratoconus patients with unilateral corneal Vogt's striae: a contralateral eye study.

Authors:  Shengsheng Wei; Jing Li; Yong Li; Yaohua Zhang; Yan Cai; Jing Du; Jianguo Liu; Yan Wang
Journal:  Int Ophthalmol       Date:  2022-09-24       Impact factor: 2.029

3.  Comparing the natural progression and clinical features of keratoconus between pediatric and adult patients.

Authors:  Ken-Kuo Lin; Yun-Wen Chen; Chun-Ting Yeh; Pei-Ru Li; Jiahn-Shing Lee; Chiun-Ho Hou; Ching-Hsi Hsiao; Lai-Chu See
Journal:  Sci Rep       Date:  2022-05-18       Impact factor: 4.996

4.  The detection of keratoconus using novel metrics derived by anterior segment optical coherence tomography.

Authors:  Isa S K Mohammed; Sang Tran; Luis A Toledo-Espiett; Wuqaas M Munir
Journal:  Int Ophthalmol       Date:  2022-01-06       Impact factor: 2.029

5.  Superiority of Baseline Biomechanical Properties over Corneal Tomography in Predicting Keratoconus Progression

Authors:  Mehmet Akif Erol; Eray Atalay; Onur Özalp; Abdullah Divarcı; Nilgün Yıldırım
Journal:  Turk J Ophthalmol       Date:  2021-10-26

6.  A novel tool for quantitative measurement of distortion in keratoconus.

Authors:  Mahesh R Joshi; Kenrick J Voison; Marianne Piano; Niall Farnon; Peter J Bex
Journal:  Eye (Lond)       Date:  2022-09-14       Impact factor: 4.456

7.  Baseline factors predicting the need for corneal crosslinking in patients with keratoconus.

Authors:  Naoko Kato; Kazuno Negishi; Chikako Sakai; Kazuo Tsubota
Journal:  PLoS One       Date:  2020-04-16       Impact factor: 3.240

8.  What are the costs, capacity, and clinical implications of 'waiting for documented progression' in young West of Scotland patients prior to collagen cross linking?

Authors:  Alasdair Simpson; Kerr Brogan; Kanna Ramaesh; David Lockington
Journal:  Eye (Lond)       Date:  2021-02-24       Impact factor: 3.775

  8 in total

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