Literature DB >> 27378016

Validating the AREDS Simplified Severity Scale of Age-Related Macular Degeneration with 5- and 10-Year Incident Data in a Population-Based Sample.

Gerald Liew1, Nichole Joachim2, Paul Mitchell2, George Burlutsky2, Jie Jin Wang2.   

Abstract

PURPOSE: Most classification systems for age-related macular degeneration (AMD) were developed from patients in clinical trials. We aimed to validate the Age-Related Eye Diseases Study (AREDS) simplified severity scale of AMD classification using 5- and 10-year incident late AMD data from the population-based Blue Mountains Eye Study (BMES) cohort.
DESIGN: Comparative study of population-based cohort and clinical trial. PARTICIPANTS: Blue Mountains Eye Study participants 40 to 97 years of age at baseline (n = 2134) and AREDS participants 55 to 80 years of age (n = 3640).
METHODS: In the BMES, AMD lesions were graded from stereoscopic color photographs and were classified according to the AREDS simplified severity scale. The AREDS simplified scale calculates a risk score based on the number of early AMD risk factors (large drusen and pigment abnormalities) in both eyes that can range from 0 to 4. MAIN OUTCOME MEASURES: Five- and 10-year incident late AMD (presence of geographic atrophy or choroidal neovascularization).
RESULTS: The AREDS simplified scale performed similarly when applied to both the BMES population-based participants and the AREDS clinical trial-based participants in predicting 5- and 10-year incidence of late AMD. For scores 0 to 4, the 5-year incidence rates for the BMES compared with the AREDS were 0.2% versus 0.4%, 3.1% versus 3.1%, 12.1% versus 11.8%, 13.5% versus 25.9%, and 47.1% versus 47.3%, respectively. The corresponding 10-year incidence rates for the BMES compared with the AREDS were 0.7% versus 1.5%, 7.3% versus 8.4%, 36.6% versus 27.6%, 20.0% versus 52.7%, and 75.0% versus 71.4%, respectively.
CONCLUSIONS: The AREDS simplified severity scale classified late AMD risk levels similarly when applied to population-based and clinical trial samples. These results support the robustness of the AREDS simplified severity scale.
Copyright © 2016 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27378016     DOI: 10.1016/j.ophtha.2016.05.043

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  10 in total

1.  Age-Related Macular Degeneration: Epidemiology and Clinical Aspects.

Authors:  Tiarnán D L Keenan; Catherine A Cukras; Emily Y Chew
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 2.  Imaging and artificial intelligence for progression of age-related macular degeneration.

Authors:  Kathleen Romond; Minhaj Alam; Sasha Kravets; Luis de Sisternes; Theodore Leng; Jennifer I Lim; Daniel Rubin; Joelle A Hallak
Journal:  Exp Biol Med (Maywood)       Date:  2021-08-18

3.  A proteogenomic signature of age-related macular degeneration in blood.

Authors:  Valur Emilsson; Elias F Gudmundsson; Thorarinn Jonmundsson; Brynjolfur G Jonsson; Michael Twarog; Valborg Gudmundsdottir; Zhiguang Li; Nancy Finkel; Stephen Poor; Xin Liu; Robert Esterberg; Yiyun Zhang; Sandra Jose; Chia-Ling Huang; Sha-Mei Liao; Joseph Loureiro; Qin Zhang; Cynthia L Grosskreutz; Andrew A Nguyen; Qian Huang; Barrett Leehy; Rebecca Pitts; Thor Aspelund; John R Lamb; Fridbert Jonasson; Lenore J Launer; Mary Frances Cotch; Lori L Jennings; Vilmundur Gudnason; Tony E Walshe
Journal:  Nat Commun       Date:  2022-06-13       Impact factor: 17.694

4.  On the impact of different approaches to classify age-related macular degeneration: Results from the German AugUR study.

Authors:  Caroline Brandl; Martina E Zimmermann; Felix Günther; Teresa Barth; Matthias Olden; Sabine C Schelter; Florian Kronenberg; Julika Loss; Helmut Küchenhoff; Horst Helbig; Bernhard H F Weber; Klaus J Stark; Iris M Heid
Journal:  Sci Rep       Date:  2018-06-06       Impact factor: 4.379

5.  Correlation of Color Fundus Photograph Grading with Risks of Early Age-related Macular Degeneration by using Automated OCT-derived Drusen Measurements.

Authors:  Chui Ming Gemmy Cheung; Yuan Shi; Yih Chung Tham; Charumathi Sabanayagam; Kumari Neelam; Jie Jin Wang; Paul Mitchell; Ching-Yu Cheng; Tien Yin Wong; Carol Yim Lui Cheung
Journal:  Sci Rep       Date:  2018-08-28       Impact factor: 4.379

6.  Genetic risk score has added value over initial clinical grading stage in predicting disease progression in age-related macular degeneration.

Authors:  Thomas J Heesterbeek; Eiko K de Jong; Ilhan E Acar; Joannes M M Groenewoud; Bart Liefers; Clara I Sánchez; Tunde Peto; Carel B Hoyng; Daniel Pauleikhoff; Hans W Hense; Anneke I den Hollander
Journal:  Sci Rep       Date:  2019-04-29       Impact factor: 4.379

7.  Macular neovascularization in eyes with pachydrusen.

Authors:  Kelvin Yi Chong Teo; Kai Xiong Cheong; Ricardo Ong; Haslina Hamzah; Yasuo Yanagi; Tien Yin Wong; Usha Chakravarthy; Chui Ming Gemmy Cheung
Journal:  Sci Rep       Date:  2021-04-05       Impact factor: 4.379

8.  Artificial intelligence for the detection of age-related macular degeneration in color fundus photographs: A systematic review and meta-analysis.

Authors:  Li Dong; Qiong Yang; Rui Heng Zhang; Wen Bin Wei
Journal:  EClinicalMedicine       Date:  2021-05-08

Review 9.  Age-related macular degeneration: Epidemiology, genetics, pathophysiology, diagnosis, and targeted therapy.

Authors:  Yanhui Deng; Lifeng Qiao; Mingyan Du; Chao Qu; Ling Wan; Jie Li; Lulin Huang
Journal:  Genes Dis       Date:  2021-02-27

10.  Prevalence of Vitreoretinal Interface Disorders in an Australian Population: The Blue Mountains Eye Study.

Authors:  Gerald Liew; Helen Nguyen; I-Van Ho; Andrew J White; George Burlutsky; Bamini Gopinath; Paul Mitchell
Journal:  Ophthalmol Sci       Date:  2021-04-19
  10 in total

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