Literature DB >> 31335534

Keratoconus Prevalence Among High School Students in New Zealand.

Alistair T Papaliʼi-Curtin1, Rachel Cox2, Tiffany Ma1, Lisa Woods3, Albie Covello1, R C Hall1.   

Abstract

PURPOSE: To determine the prevalence of keratoconus among high school students in Wellington, New Zealand.
METHOD: The Wellington Keratoconus Study was a population-based prospective cross-sectional study of 2 cohorts in Wellington: cohort 1 (year 9 students, mean age 13.9 years) and cohort 2 (year 11 students, mean age 15.5 years).
RESULTS: A total of 1916 students with a mean age of 14.6 years participated from 20 schools in the region. Keratoconus was found in 1:191 (0.52%) participants overall and in 1:45 (2.25%) Maori participants. Pentacam mean Kmax of 48.7 diopters (D) (cohort 1, 45.5 D; cohort 2, 49.9 D), thinnest pachymetry of 494.05 μm (cohort 1, 479.0 μm; cohort 2, 499.5 μm), posterior elevation at the thinnest point of 23.4 (cohort 1, 15.2; cohort 2, 26.6), Belin/Ambrosio enhanced ectasia display overall D value of 4.30 (cohort 1, 3.2; cohort 2, 4.7) were noted in participants with keratoconus. In those with keratoconus, 8 of 10 had visual impairment of 0.2 Logarithm of the Minimum Angle of Resolution (LogMAR) or worse in the better eye; 7 of 10 did not use visual aids; 7 of 10 had atopy; and 6 of 10 were from a low school decile. In those without keratoconus, 43.8% had atopy.
CONCLUSIONS: Keratoconus may affect up to 1 in 191 New Zealand adolescents and 1 in 45 Maori adolescents. Keratoconus appeared to be associated with Maori ethnicity, atopy, lower school decile, visual impairment, and the underutilization of visual aids. Nationwide screening programs may have a role in reducing the burden of disease associated with keratoconus.

Entities:  

Mesh:

Year:  2019        PMID: 31335534     DOI: 10.1097/ICO.0000000000002054

Source DB:  PubMed          Journal:  Cornea        ISSN: 0277-3740            Impact factor:   2.651


  6 in total

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

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4.  Prediction of keratoconus progression using deep learning of anterior segment optical coherence tomography maps.

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

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6.  The Role of Estriol and Estrone in Keratoconic Stromal Sex Hormone Receptors.

Authors:  Paulina Escandon; Sarah E Nicholas; Rebecca L Cunningham; David A Murphy; Kamran M Riaz; Dimitrios Karamichos
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  6 in total

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