Literature DB >> 19674732

Prevalence and associations of keratoconus in rural maharashtra in central India: the central India eye and medical study.

Jost B Jonas1, Vinay Nangia, Arshia Matin, Maithili Kulkarni, Krishna Bhojwani.   

Abstract

PURPOSE: To evaluate the prevalence and associated factors of keratoconus in the adult Indian population.
DESIGN: Population-based study.
METHODS: The Central India Eye and Medical Study is a population-based study performed in a rural region close to Nagpur in Central India. It included 4,711 subjects (aged 30 years and above) out of 5,885 eligible subjects (response rate, 80.1%). The participants underwent a detailed ophthalmic and medical examination. This study was focused on the prevalence of keratoconus, defined as an anterior corneal refractive power exceeding 48 diopters (D).
RESULTS: Out of the 4,711 subjects, corneal refractive power measurements were available for 4,667 subjects (99.1%). Keratoconus was detected in 212 eyes (2.3%) of 128 subjects (prevalence rate, 2.3% +/- 0.2%). In multivariate analysis, the presence of keratoconus was significantly associated with lower body height (P < .001), lower level of education (P= .03), higher myopic refractive error (P = .004), and thinner central corneal thickness (P = .006). It was not significantly associated with alcohol consumption (P = .99) or smoking (P = .08) nor with questions relating to the psychiatric status. Defining a keratoconus as corneal refractive power of > or =49 D or of > or =50 D, a keratoconus was detected in 58 eyes (0.6%) and 10 eyes (0.1%), respectively.
CONCLUSIONS: Keratoconus defined as corneal refractive power of 48+ D has a prevalence of 2.3% +/- 0.2% among Indians aged 30 years and above and living in the rural region of Central India. The prevalence of keratoconus was associated with lower body height, lower level of education, myopic refractive error, and thinner central cornea.

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Year:  2009        PMID: 19674732     DOI: 10.1016/j.ajo.2009.06.024

Source DB:  PubMed          Journal:  Am J Ophthalmol        ISSN: 0002-9394            Impact factor:   5.258


  63 in total

1.  Body height and ocular dimensions in the adult population in rural Central India. The Central India Eye and Medical Study.

Authors:  Vinay Nangia; Jost B Jonas; Arshia Matin; Maithili Kulkarni; Ajit Sinha; Rajesh Gupta
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2010-07-22       Impact factor: 3.117

Review 2.  Keratoconus: an inflammatory disorder?

Authors:  V Galvis; T Sherwin; A Tello; J Merayo; R Barrera; A Acera
Journal:  Eye (Lond)       Date:  2015-05-01       Impact factor: 3.775

3.  Acute corneal hydrops in keratoconus: a national prospective study of incidence and management.

Authors:  A Barsam; H Petrushkin; N Brennan; C Bunce; W Xing; B Foot; S Tuft
Journal:  Eye (Lond)       Date:  2015-01-16       Impact factor: 3.775

4.  Scanning-slit topography in patients with keratoconus.

Authors:  László Módis; Gábor Németh; Eszter Szalai; Zsuzsa Flaskó; Berthold Seitz
Journal:  Int J Ophthalmol       Date:  2017-11-18       Impact factor: 1.779

Review 5.  The correlation between keratoconus and eye rubbing: a review.

Authors:  Hatim Najmi; Yara Mobarki; Khalid Mania; Bashaer Altowairqi; Mohammed Basehi; Mohammed Salih Mahfouz; Mona Elmahdy
Journal:  Int J Ophthalmol       Date:  2019-11-18       Impact factor: 1.779

6.  The Genetics of Keratoconus: A Review.

Authors:  Joshua Wheeler; Michael A Hauser; Natalie A Afshari; R Rand Allingham; Yutao Liu
Journal:  Reprod Syst Sex Disord       Date:  2012-06-03

Review 7.  Pediatric keratoconus: a review of the literature.

Authors:  Sabrina Mukhtar; Balamurali K Ambati
Journal:  Int Ophthalmol       Date:  2017-08-29       Impact factor: 2.031

Review 8.  Corneal Cross-Linking for Pediatric Keratcoconus Review.

Authors:  Claudia Perez-Straziota; Ronald N Gaster; Yaron S Rabinowitz
Journal:  Cornea       Date:  2018-06       Impact factor: 2.651

9.  The Association Between Sociodemographic Factors, Common Systemic Diseases, and Keratoconus: An Analysis of a Nationwide Heath Care Claims Database.

Authors:  Maria A Woodward; Taylor S Blachley; Joshua D Stein
Journal:  Ophthalmology       Date:  2015-12-23       Impact factor: 12.079

10.  Repeatability and Reproducibility of Corneal Biometric Measurements Using the Visante Omni and a Rabbit Experimental Model of Post-Surgical Corneal Ectasia.

Authors:  Yu-Chi Liu; Aris Konstantopoulos; Andri K Riau; Raj Bhayani; Nyein C Lwin; Ericia Pei Wen Teo; Gary Hin Fai Yam; Jodhbir S Mehta
Journal:  Transl Vis Sci Technol       Date:  2015-04-28       Impact factor: 3.283

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