Literature DB >> 32860813

Prevalence of Keratoconus Based on Scheimpflug Imaging: The Raine Study.

Elsie Chan1, Elaine W Chong2, Gareth Lingham3, Louis J Stevenson4, Paul G Sanfilippo5, Alex W Hewitt6, David A Mackey7, Seyhan Yazar8.   

Abstract

PURPOSE: To describe the prevalence and systemic associations of keratoconus in young adults in Perth, Western Australia.
DESIGN: Cross-sectional study. PARTICIPANTS: One thousand two hundred fifty-nine participants 20 years of age.
METHODS: The Raine Study is a multigenerational, longitudinal cohort study based in Perth, Western Australia. This study represents a cross-sectional analysis of the birth cohort on returning for a 20-year follow-up. Participants underwent a detailed ophthalmic examination, including visual acuity assessment and Scheimpflug imaging using the Pentacam (Oculus, Wetzlar, Germany), and completed a health questionnaire. Keratoconus was defined as a Belin/Ambrόsio enhanced ectasia display score of 2.6 or more in either eye based on Pentacam imaging. MAIN OUTCOME MEASURES: Prevalence of keratoconus in this cohort.
RESULTS: Of the 1259 participants, 50.8% were women and 85.7% were White. Fifteen participants had keratoconus in at least 1 eye, giving a prevalence of 1.2% (95% confidence interval, 0.7%-1.9%), or 1 in 84. A significant difference was found in best-corrected visual acuity (0.01 logarithm of the minimum angle of resolution vs. -0.05 logarithm of the minimum angle of resolution; P = 0.007), cylinder (1.25 diopters [D] vs. 0.25 D cylinder; P < 0.001) and spherical equivalent (-1.42 D vs. -0.50 D sphere; P = 0.02) on objective refraction, mean keratometry of the steep meridian (45.19 D vs. 43.76 D; P < 0.001), and mean corneal thickness at the thinnest point (475 μm vs. 536 μm; P < 0.001) between those with and without keratoconus. Keratoconus was associated with regular cigarette smoking (38.5% vs. 14.6%; P = 0.04), but showed no association with gender, race, body mass index, use of spectacles or contact lenses, history of allergic eye disease, or pregnancy.
CONCLUSIONS: The prevalence of keratoconus in this Australian population-based study of 20-year-old adults was 1.2% (95% confidence interval, 0.7%-1.9%), or 1 in 84, which is one of the highest reported in the world. This has important implications for screening individuals at a younger age so that treatment can be initiated before disease progression.
Copyright © 2020 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Corneal tomography; Epidemiology; Keratoconus

Mesh:

Year:  2020        PMID: 32860813     DOI: 10.1016/j.ophtha.2020.08.020

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


  18 in total

1.  Best indices of dual Scheimpflug/Placido tomographer for keratoconus detection.

Authors:  Zahra Heidari; Ebrahim Jafarzadehpour; Mehrdad Mohammadpour; Hassan Hashemi
Journal:  Int Ophthalmol       Date:  2022-09-23       Impact factor: 2.029

2.  Risk Factors for Development of Keratoconus: A Matched Pair Case-Control Study.

Authors:  Loay Abdulmutalib Almusawi; Furkaan Majied Hamied
Journal:  Clin Ophthalmol       Date:  2021-08-16

Review 3.  Prevalence of keratoconus in persons with Down syndrome: a review.

Authors:  Olav Kristianslund; Liv Drolsum
Journal:  BMJ Open Ophthalmol       Date:  2021-04-21

4.  A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus.

Authors:  Petra Liskova; Yelena Bykhovskaya; Bennet J McComish; Alice E Davidson; Chris F Inglehearn; Alison J Hardcastle; Xiaohui Li; Hélène Choquet; Mahmoud Habeeb; Sionne E M Lucas; Srujana Sahebjada; Nikolas Pontikos; Karla E Rojas Lopez; Anthony P Khawaja; Manir Ali; Lubica Dudakova; Pavlina Skalicka; Bart T H Van Dooren; Annette J M Geerards; Christoph W Haudum; Valeria Lo Faro; Abi Tenen; Mark J Simcoe; Karina Patasova; Darioush Yarrand; Jie Yin; Salina Siddiqui; Aine Rice; Layal Abi Farraj; Yii-Der Ida Chen; Jugnoo S Rahi; Ronald M Krauss; Elisabeth Theusch; Jac C Charlesworth; Loretta Szczotka-Flynn; Carmel Toomes; Magda A Meester-Smoor; Andrea J Richardson; Paul A Mitchell; Kent D Taylor; Ronald B Melles; Anthony J Aldave; Richard A Mills; Ke Cao; Elsie Chan; Mark D Daniell; Jie Jin Wang; Jerome I Rotter; Alex W Hewitt; Stuart MacGregor; Caroline C W Klaver; Wishal D Ramdas; Jamie E Craig; Sudha K Iyengar; David O'Brart; Eric Jorgenson; Paul N Baird; Yaron S Rabinowitz; Kathryn P Burdon; Chris J Hammond; Stephen J Tuft; Pirro G Hysi
Journal:  Commun Biol       Date:  2021-03-01

Review 5.  Machine Learning Algorithms to Detect Subclinical Keratoconus: Systematic Review.

Authors:  Howard Maile; Ji-Peng Olivia Li; Daniel Gore; Marcello Leucci; Padraig Mulholland; Scott Hau; Anita Szabo; Ismail Moghul; Konstantinos Balaskas; Kaoru Fujinami; Pirro Hysi; Alice Davidson; Petra Liskova; Alison Hardcastle; Stephen Tuft; Nikolas Pontikos
Journal:  JMIR Med Inform       Date:  2021-12-13

Review 6.  Nutritional and Metabolic Imbalance in Keratoconus.

Authors:  Romina Mayra Lasagni Vitar; Filippo Bonelli; Paolo Rama; Giulio Ferrari
Journal:  Nutrients       Date:  2022-02-21       Impact factor: 5.717

7.  Evaluating the association between MPDZ-NF1B rs1324183 and keratoconus in an independent northwestern Chinese population.

Authors:  Shiqin Yuan; Dong Li; Meijiao Ma; Lingjie Zhou; Zhen Ma; Baoyu Shi; Shuang Zhang; Huiping Li; Xunlun Sheng; Junxiu Liu
Journal:  BMC Ophthalmol       Date:  2022-03-19       Impact factor: 2.209

8.  Prognostic Nomograms Predicting Risk of Keratoconus in Very Asymmetric Ectasia: Combined Corneal Tomographic and Biomechanical Assessments.

Authors:  Xiaoyu Zhang; Lan Ding; Ling Sun; Yangyi Huang; Tian Han; Yishan Qian; Xingtao Zhou
Journal:  Front Bioeng Biotechnol       Date:  2022-02-17

9.  Depth-resolved Corneal Biomechanical Changes Measured Via Optical Coherence Elastography Following Corneal Crosslinking.

Authors:  Tanner J Ferguson; Srinidhi Singuri; Sanjai Jalaj; Matthew R Ford; Vinicius S De Stefano; Ibrahim Seven; William J Dupps
Journal:  Transl Vis Sci Technol       Date:  2021-04-29       Impact factor: 3.283

10.  Bilateral Differential Topography-A Novel Topographic Algorithm for Keratoconus and Ectatic Disease Screening.

Authors:  Yang Shen; Yiyong Xian; Tian Han; Xuanqi Wang; Xingtao Zhou
Journal:  Front Bioeng Biotechnol       Date:  2021-12-09
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