Literature DB >> 33824422

A hospital-based study on clinical data, demographic data and visual function of keratoconus patients in Central China.

Kaili Yang1, Liyan Xu1, Qi Fan1, Yuwei Gu1, Bo Zhang1, Feiying Meng1, Dongqing Zhao1, Chenjiu Pang1, Shengwei Ren2.   

Abstract

China is a populous country but lacks epidemiological data on keratoconus (KC). The present study aimed to investigate the clinical data, demographic data, and visual function (VF) data of KC patients in Central China. A total of 524 KC eyes in 307 KC patients (217 bilateral and 90 unilateral) from Henan Eye Hospital were included in the current study. Demographic and VF data were assessed with questionnaires administered by well-trained staff during face-to-face interviews. Visual acuity value was examined by a qualified optometrist, and the clinical data were measured by professional clinicians. The distributions of sex, residence and education level of KC patients were compared by Chi-square tests, and the ratios of people wearing glasses and rigid gas permeable (RGP) lenses were compared by McNemar tests. General linear models/Chi-squared tests were used to compare the clinical and demographic data according to KC severity. Spearman's correlation analysis was used to test the associations between the data and KC severity. The mean age at diagnosis was 20.98 ± 6.06 years, and males had a higher ratio of KC than females (P < 0.001). Patients in rural areas had a higher rate of KC than those in urban areas (P = 0.039), and the proportion of KC patients with a higher education level (above high school) was high (P < 0.001). A total of 68.40% of the patients reported eye rubbing and 3.52% had a positive family history. The percentage of people wearing glasses was higher than that of patients wearing RGP lenses (P < 0.001). The total VF score of KC patients was 69.35 ± 15.25. The thinnest corneal thickness (TCT) and stiffness parameter at the first applanation (SP-A1) values were inversely correlated with KC severity (P < 0.05). The mean, steep, and max keratometry (Km, Ks and Kmax) values, the RGP lens use and keratoplasty were positively correlated with KC severity (all P < 0.05). The total VF score of the eye with better VA decreased as the severity increased (r = - 0.21, P = 0.002). The present study comprehensively describes various associated features of KC patients from a tertiary hospital in Central China, providing a reference for understanding the characteristics of KC patients in China.

Entities:  

Year:  2021        PMID: 33824422     DOI: 10.1038/s41598-021-87291-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  51 in total

1.  Keratoconus in Asians: demographics, clinical characteristics and visual function in a hospital-based population.

Authors:  Wei-Boon Khor; Rui H Wei; Li Lim; Choi M Chan; Donald Th Tan
Journal:  Clin Exp Ophthalmol       Date:  2011-05-29       Impact factor: 4.207

Review 2.  Keratoconus.

Authors:  Y S Rabinowitz
Journal:  Surv Ophthalmol       Date:  1998 Jan-Feb       Impact factor: 6.048

3.  Evaluating the Association between Keratoconus and Reported Genetic Loci in a Han Chinese Population.

Authors:  Xiao-Dan Hao; Peng Chen; Zhao-Li Chen; Su-Xia Li; Ye Wang
Journal:  Ophthalmic Genet       Date:  2015-02-12       Impact factor: 1.803

4.  Global consensus on keratoconus and ectatic diseases.

Authors:  José A P Gomes; Donald Tan; Christopher J Rapuano; Michael W Belin; Renato Ambrósio; José L Guell; François Malecaze; Kohji Nishida; Virender S Sangwan
Journal:  Cornea       Date:  2015-04       Impact factor: 2.651

Review 5.  A review of keratoconus: Diagnosis, pathophysiology, and genetics.

Authors:  Veronica Mas Tur; Cheryl MacGregor; Rakesh Jayaswal; David O'Brart; Nicholas Maycock
Journal:  Surv Ophthalmol       Date:  2017-07-06       Impact factor: 6.048

6.  Association between Family History and Keratoconus Severity.

Authors:  Mohammad Naderan; Mohammad Taher Rajabi; Parviz Zarrinbakhsh; Morteza Naderan; Anahita Bakhshi
Journal:  Curr Eye Res       Date:  2016-05-09       Impact factor: 2.424

7.  The Prevalence and Risk Factors for Keratoconus: A Systematic Review and Meta-Analysis.

Authors:  Hassan Hashemi; Samira Heydarian; Elham Hooshmand; Mohammad Saatchi; Abbasali Yekta; Mohamadreza Aghamirsalim; Mehrnaz Valadkhan; Mehdi Mortazavi; Alireza Hashemi; Mehdi Khabazkhoob
Journal:  Cornea       Date:  2020-02       Impact factor: 2.651

8.  Vision-Related Quality of Life in Iranian Patients With Keratoconus: National Eye Institute Vision Function Questionnaire-25.

Authors:  Hamideh Mahdaviazad; Shahram Bamdad; Narges Roustaei; Sahar Mohaghegh
Journal:  Eye Contact Lens       Date:  2018-11       Impact factor: 2.018

Review 9.  The genetic and environmental factors for keratoconus.

Authors:  Ariela Gordon-Shaag; Michel Millodot; Einat Shneor; Yutao Liu
Journal:  Biomed Res Int       Date:  2015-05-17       Impact factor: 3.411

10.  Psychometric properties of the Portuguese version of the National Eye Institute Visual Function Questionnaire-25.

Authors:  Ricardo Y Abe; Felipe A Medeiros; Milton Agrizzi Davi; Cecília Gonçalves; Matheus Bittencourt; Alicia Buffoni Roque; Júlia Boccato; Vital Paulino Costa; José Paulo Cabral Vasconcellos
Journal:  PLoS One       Date:  2019-12-10       Impact factor: 3.240

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  2 in total

1.  A Hospital-Based Study on the Prevalence of Keratoconus in First-Degree Relatives of Patients with Keratoconus in Central China.

Authors:  Yawen Wang; Liyan Xu; Shaopei Wang; Kaili Yang; Yuwei Gu; Qi Fan; Qing Wang; Meng Zhu; Kai Guo; Chenjiu Pang; Shengwei Ren; Dongqing Zhao
Journal:  J Ophthalmol       Date:  2022-05-26       Impact factor: 1.974

2.  Distribution of pediatric keratoconus by different age and gender groups.

Authors:  Kaili Yang; Yuwei Gu; Liyan Xu; Qi Fan; Meng Zhu; Qing Wang; Shanshan Yin; Bo Zhang; Chenjiu Pang; Shengwei Ren
Journal:  Front Pediatr       Date:  2022-07-18       Impact factor: 3.569

  2 in total

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