Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Jul 1;19(1):851.
doi: 10.1186/s12889-019-6935-6.

Prevalence, incidence, and risk factors of primary open-angle glaucoma - a cohort study based on longitudinal data from a German public health insurance

Affiliations

Prevalence, incidence, and risk factors of primary open-angle glaucoma - a cohort study based on longitudinal data from a German public health insurance

D Kreft et al. BMC Public Health. .

Abstract

Background: This study estimates the prevalence and incidence rates of primary open -angle glaucoma (POAG) as well as risk factors based on a dataset from the largest German health insurance company.

Methods: A random sample of 250,000 persons at age 50+ of the Allgemeine Ortskrankenkasse (AOK) from 2010 to 2013 was used. Selected risk factors of POAG incidence were analyzed using multivariate Cox proportional hazard models.

Results: The age-standardized prevalence of POAG at age 50+ in 2010 was 2.79% (95%-CI: 2.72-2.85%). The age-standardized total incidence rate was 0.38 (0.36-0.39) per 100 person-years. Sex differences were significant for total prevalence and total incidence rates, with higher prevalence and incidence rates for women compared to men. The Cox model revealed a strong age effect, a significantly 19% higher incidence for women (p ≤ 0.001), injuries of the eye and orbit (175%, p ≤ 0.001), degeneration of iris and ciliary body (155%, p = 0.022), myopia (155%, p ≤ 0.001), retinal vascular occlusions (134%, p ≤ 0.001), hypertension (13%, p ≤ 0.001) and diabetes mellitus (23%, p ≤ 0.001).

Conclusion: Health claims data are an important data source for estimating POAG occurrence and help overcome the problems of small sample sizes. These results may help to understand the causal pathways of POAG and to develop intervention strategies to increase the awareness of patients and physicians with the aim of reducing POAG incidence.

Keywords: Cox model; Diabetes; Epidemiology; Glaucoma; Health claims data; Incidence; Prevalence; Risk factors; Validation.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Flowchart of sample selection procedure for validated diagnoses, AOK data
Fig. 2
Fig. 2
POAG prevalence by age and sex, including 95%-CI, 2010, AOK data
Fig. 3
Fig. 3
POAG incidence rate by age and sex, including 95%-CI, 2011–2013, AOK data

References

    1. Leske MC. Open-angle glaucoma - an epidemiologic overview. Ophthalmic Epidemiol. 2007;14(4):166–172. doi: 10.1080/09286580701501931. - DOI - PubMed
    1. Quigley HA. Glaucoma. Lancet. 2011;377(9774):1367–1377. doi: 10.1016/S0140-6736(10)61423-7. - DOI - PubMed
    1. Weinreb RN, Khaw PT. Primary open-angle glaucoma. Lancet. 2004;363(9422):1711–1720. doi: 10.1016/S0140-6736(04)16257-0. - DOI - PubMed
    1. Quigley HA, Broman AT. The number of people with glaucoma worldwide in 2010 and 2020. Br J Ophthalmol. 2006;90(3):262–267. doi: 10.1136/bjo.2005.081224. - DOI - PMC - PubMed
    1. Kapetanakis VV, Chan MP, Foster PJ, Cook DG, Owen CG, Rudnicka AR. Global variations and time trends in the prevalence of primary open angle glaucoma (POAG): a systematic review and meta-analysis. Br J Ophthalmol. 2016;100(1):86–93. doi: 10.1136/bjophthalmol-2015-307223. - DOI - PMC - PubMed

LinkOut - more resources