Literature DB >> 24901485

Assessment of anterior segment parameters of keratoconus eyes in an Australian population.

Srujana Sahebjada1, Jing Xie, Elsie Chan, Grant Snibson, Mark Daniel, Paul N Baird.   

Abstract

PURPOSE: To assess anterior segment parameters of eyes with keratoconus (KC) at different clinical stages of disease.
METHODS: KC and non-KC patients were recruited from public and private clinics in Melbourne, Australia. Axial length (AL), mean front corneal curvature (Front Km), mean back corneal curvature (Back Km), central corneal thickness (CCT), corneal thickness at the apex (CTA), corneal thickness at the thinnest point (CTT), anterior chamber depth (ACD), and corneal volume were noted for all the eyes.
RESULTS: A total of 181 individuals comprising 44 (24.3%) subclinical KC, 118 (65.2%) clinical KC, and 19 (10.5%) control subjects were analyzed. Significant differences were noticed between the subclinical KC and control group for ACD and CTT, whereas between clinical and control groups, significant differences were obtained for AL, CCT, CTA, CTT, and ACD (p < 0.05). In the case of mild, moderate, and severe KC groups, Back Km, CCT, CTA, and CTT were significantly associated (p < 0.001) with increasing disease severity. We further did receiver operating characteristic analysis to confirm the importance of pachymetric parameters in differentiating between control and KC eyes. The area under the receiver operating characteristic curve value of CTT for subclinical and clinical KC was 0.68 and 0.82, which showed that it may be a potential marker for the early detection and prevention of KC.
CONCLUSIONS: This study identified the anterior chamber parameters that differ between subclinical and clinical KC as well as the severity of KC. There is a significant reduction in CTT between control and subclinical eyes, although there are no significant alterations in Front and Back Km or AL between the two groups. Also, a progressive reduction in the pachymetric readings at the pupil center, apex, and thinnest corneal point was identified when comparing mild to severe KC groups. Thus, corneal thickness represents an important parameter that needs to be considered in monitoring KC disease severity.

Entities:  

Mesh:

Year:  2014        PMID: 24901485     DOI: 10.1097/OPX.0000000000000295

Source DB:  PubMed          Journal:  Optom Vis Sci        ISSN: 1040-5488            Impact factor:   1.973


  11 in total

1.  Comparative analysis of anterior segment parameters in normal and keratoconus eyes generated by scheimpflug tomography.

Authors:  Faik Orucoglu; Ebru Toker
Journal:  J Ophthalmol       Date:  2015-03-24       Impact factor: 1.909

2.  Assessment of Macular Parameter Changes in Patients with Keratoconus Using Optical Coherence Tomography.

Authors:  Srujana Sahebjada; Fakir M Amirul Islam; Sanj Wickremasinghe; Mark Daniell; Paul N Baird
Journal:  J Ophthalmol       Date:  2015-05-12       Impact factor: 1.909

3.  Indications and visual outcomes of intrastromal corneal ring segment implantation in a large patient series.

Authors:  Taíse Tognon; Mauro Campos; João Paulo Wengrzynovski; Kleyton Arlindo Barella; Adriano Pasqualotti; Luiz Antônio de Brito Martins; Adriana Dos Santos Forseto; Luciene Barbosa de Sousa
Journal:  Clinics (Sao Paulo)       Date:  2017-06       Impact factor: 2.365

4.  Evaluation of Goldmann applanation tonometry, rebound tonometry and dynamic contour tonometry in keratoconus.

Authors:  Fatih Özcura; Nilgün Yıldırım; Emre Tambova; Afsun Şahin
Journal:  J Optom       Date:  2016-07-09

5.  Ocular dimensions of the Chinese adolescents with keratoconus.

Authors:  Weijun Jian; Yang Shen; Yingjun Chen; Mi Tian; Xingtao Zhou
Journal:  BMC Ophthalmol       Date:  2018-02-13       Impact factor: 2.209

6.  Clinical Profile of Omani Keratoconus Patients: An Experience from a tertiary referral centre in Muscat.

Authors:  Haitham H Al-Mahrouqi; Nasser Al-Shamli; Nirmal Raj Mohan; Saif Bani Oraba; Sathiya M Panchatcharam; Rashid Al-Saidi; Abdulatif Al-Raisi
Journal:  Oman J Ophthalmol       Date:  2018 Sep-Dec

7.  Differential epithelial and stromal protein profiles in cone and non-cone regions of keratoconus corneas.

Authors:  Gary Hin-Fai Yam; Matthias Fuest; Lei Zhou; Yu-Chi Liu; Lu Deng; Anita Sook-Yee Chan; Hon Shing Ong; Wei-Boon Khor; Marcus Ang; Jodhbir S Mehta
Journal:  Sci Rep       Date:  2019-02-27       Impact factor: 4.379

8.  PPIP5K2 and PCSK1 are Candidate Genetic Contributors to Familial Keratoconus.

Authors:  Mariam Lofty Khaled; Yelena Bykhovskaya; Chunfang Gu; Alice Liu; Michelle D Drewry; Zhong Chen; Barbara A Mysona; Emily Parker; Ryan P McNabb; Hongfang Yu; Xiaowen Lu; Jing Wang; Xiaohui Li; Abdulrahman Al-Muammar; Jerome I Rotter; Louise F Porter; Amy Estes; Mitchell A Watsky; Sylvia B Smith; Hongyan Xu; Khaled K Abu-Amero; Anthony Kuo; Stephen B Shears; Yaron S Rabinowitz; Yutao Liu
Journal:  Sci Rep       Date:  2019-12-18       Impact factor: 4.379

9.  Evaluating the Performance of Various Machine Learning Algorithms to Detect Subclinical Keratoconus.

Authors:  Ke Cao; Karin Verspoor; Srujana Sahebjada; Paul N Baird
Journal:  Transl Vis Sci Technol       Date:  2020-04-24       Impact factor: 3.283

10.  Comparison of Anterior Chamber Depth between Normal and Keratoconic Eyes: A Systematic Review and Meta-Analysis.

Authors:  Hassan Hashemi; AbbasAli Yekta; Negareh Yazdani; Hadi Ostadimoghaddam; Mehdi Khabazkhoob
Journal:  J Curr Ophthalmol       Date:  2020-03-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.