Literature DB >> 19092403

Keratoconus in the Medicare population.

Sherman W Reeves1, Leon B Ellwein, Terry Kim, Roberta Constantine, Paul P Lee.   

Abstract

PURPOSE: To investigate the population-based prevalence of keratoconus in US individuals aged 65 years and older.
DESIGN: Multiyear retrospective cross-sectional claims analysis.
METHODS: Fee-for-service claims from a 5% national sample of Medicare beneficiaries aged 65 years and older were reviewed. Claims records were queried on an annual basis for the years 1999 through 2003 for ICD-9 codes specific to keratoconus. The number of beneficiaries with keratoconus-related claims was counted for each calendar year.
RESULTS: The number of beneficiaries receiving care for keratoconus rose steadily from 15.7/100,000 beneficiaries in 1999 to 18.5/100,000 in 2003, averaging 17.5/100,000 across the 5 years of the study. Keratoconus rates declined with increasing age but did not differ by gender. Keratoconus care was more prevalent in whites than in other races.
CONCLUSIONS: Keratoconus is an uncommon disease in the Medicare population. Longitudinal analysis of Medicare claims data may provide a useful tool for monitoring uncommon diseases, such as keratoconus, in the elderly.

Entities:  

Mesh:

Year:  2009        PMID: 19092403      PMCID: PMC2723840          DOI: 10.1097/ICO.0b013e3181839b06

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


  12 in total

1.  Use of eye care and associated charges among the Medicare population: 1991-1998.

Authors:  Leon B Ellwein; Carol J Urato
Journal:  Arch Ophthalmol       Date:  2002-06

Review 2.  Keratoconus.

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

3.  A 48-year clinical and epidemiologic study of keratoconus.

Authors:  R H Kennedy; W M Bourne; J A Dyer
Journal:  Am J Ophthalmol       Date:  1986-03-15       Impact factor: 5.258

Review 4.  Keratoconus and related noninflammatory corneal thinning disorders.

Authors:  J H Krachmer; R S Feder; M W Belin
Journal:  Surv Ophthalmol       Date:  1984 Jan-Feb       Impact factor: 6.048

5.  Uveitis in the elderly: epidemiological data from the National Long-term Care Survey Medicare Cohort.

Authors:  Sherman W Reeves; Frank A Sloan; Paul P Lee; Glenn J Jaffe
Journal:  Ophthalmology       Date:  2006-01-10       Impact factor: 12.079

6.  Variations in primary open-angle glaucoma prevalence by age, gender, and race: a Bayesian meta-analysis.

Authors:  Alicja R Rudnicka; Shahrul Mt-Isa; Christopher G Owen; Derek G Cook; Deborah Ashby
Journal:  Invest Ophthalmol Vis Sci       Date:  2006-10       Impact factor: 4.799

7.  Estimates of incidence rates with longitudinal claims data.

Authors:  Frank A Sloan; Derek S Brown; Emily S Carlisle; Jan Ostermann; Paul P Lee
Journal:  Arch Ophthalmol       Date:  2003-10

8.  Longitudinal prevalence of major eye diseases.

Authors:  Paul P Lee; Zachary W Feldman; Jan Ostermann; Derek S Brown; Frank A Sloan
Journal:  Arch Ophthalmol       Date:  2003-09

9.  Diabetic retinopathy in a multi-ethnic cohort in the United States.

Authors:  Tien Yin Wong; Ronald Klein; F M Amirul Islam; Mary Frances Cotch; Aaron R Folsom; Barbara E K Klein; A Richey Sharrett; Steven Shea
Journal:  Am J Ophthalmol       Date:  2006-03       Impact factor: 5.258

10.  Influence of ethnic origin on the incidence of keratoconus and associated atopic disease in Asians and white patients.

Authors:  T Georgiou; C L Funnell; A Cassels-Brown; R O'Conor
Journal:  Eye (Lond)       Date:  2004-04       Impact factor: 3.775

View more
  11 in total

1.  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

2.  Use of machine learning to achieve keratoconus detection skills of a corneal expert.

Authors:  Eyal Cohen; Dor Bank; Nir Sorkin; Raja Giryes; David Varssano
Journal:  Int Ophthalmol       Date:  2022-08-11       Impact factor: 2.029

Review 3.  Refractive Outcomes of Non-Toric and Toric Intraocular Lenses in Mild, Moderate and Advanced Keratoconus: A Systematic Review and Meta-Analysis.

Authors:  Tal Yahalomi; Asaf Achiron; Idan Hecht; Roee Arnon; Eliya Levinger; Joseph Pikkel; Raimo Tuuminen
Journal:  J Clin Med       Date:  2022-04-27       Impact factor: 4.964

Review 4.  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

5.  Outcome of intrastromal corneal ring segment relative to depth of insertion evaluated with scheimpflug image.

Authors:  Afshin Lotfi Sadigh; Taha Ahmad Aali; Ali Sadeghi
Journal:  J Curr Ophthalmol       Date:  2015-10-29

6.  Effect of ageing on keratoconic corneas.

Authors:  Michel Millodot; Ilya Ortenberg; Karen Lahav-Yacouel; Shmuel Behrman
Journal:  J Optom       Date:  2015-07-02

7.  Prevalence of keratoconus among patients seeking laser vision correction in Taif area of Saudi Arabia.

Authors:  Talal A Althomali; Ibraheem M Al-Qurashi; Saleh M Al-Thagafi; Afra Mohammed; Mohammed Almalki
Journal:  Saudi J Ophthalmol       Date:  2017-11-14

8.  Prevalence and associations of steep cornea/keratoconus in Greater Beijing. The Beijing Eye Study.

Authors:  Liang Xu; Ya Xing Wang; Yin Guo; Qi Sheng You; Jost B Jonas
Journal:  PLoS One       Date:  2012-07-06       Impact factor: 3.240

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.  Clinical characteristics and topographic findings of corneal ectasia in patients with symptomatic Demodex blepharitis.

Authors:  Kuo-Hsuan Hung; Hsin-Yuan Tan; Hung-Chi Chen; Lung-Kun Yeh
Journal:  Taiwan J Ophthalmol       Date:  2020-09-30
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.