Summary
Background
The Hungarian Health Insurance Fund, using appropriate information technology, covers all of the secondary care of the country and maintains a database of Hospital Discharge Records (HDR). Our study aimed to determine the incidence, average age-at-diagnosis (AaD), and prevalence of myasthenia gravis (MG) among adults and the regional heterogeneity of these measures to assess the potential usefulness of HDRs for monitoring.
Methods
The nationwide database of 336,679 HDRs from 2004 to 2009 was analyzed. The incidence and prevalence were determined for adults in 2007. Patients with MG code in 2007, 2008, and 2009 but without that in 2004–2006 were defined as incident. Distribution of AaD was described for these cases. Patients with an MG code in 2007, 2008, and 2009 were defined as prevalent in 2007. The heterogeneity of regional age-standardized indices was tested.
Results
The observed incidence and prevalence was 2.76/100,000 (men: 2.37/100,000; women: 3.11/100,000) and 17.42/100,000 (male: 13.08/100,000; female: 21.28/100,000), respectively. These estimates were within published ranges. The mean AaD was significantly higher for men than for women (63.60 vs. 51.92; p < 0.001). Significant regional heterogeneity was observed for all measures.
Conclusions
HDRs seem to be useful for developing MG indicators because they adequately estimate epidemiological parameters of MG occurrence.
Similar content being viewed by others
References
Robertson NP, Deans J, Compston DA. Myasthenia gravis: a population based epidemiological study in Cambridgeshire, England. J Neurol Neurosurg Psychiatry. 1998;65(4):492–6.
McGrogan A, Sneddon S, de Vries CS. The incidence of myasthenia gravis: a systematic literature review. Neuroepidemiology. 2010;34(3):171–83.
Juel VC, Massey JM. Myasthenia gravis. Orphanet J Rare Dis. 2007;2:44.
Casetta I, Groppo E, De Gennaro R, et al. Myasthenia gravis: a changing pattern of incidence. J Neurol. 2010;257(12):2015–9.
Carr AS, Cardwell CR, McCarron PO, McConville J. A systematic review of population based epidemiological studies in myasthenia gravis. BMC Neurol. 2010;10:46.
Aarli JA. Late-onset myasthenia gravis: a changing scene. Arch Neurol. 1999;56(1):25–7.
Phillips LH. The epidemiology of myasthenia gravis. Ann N Y Acad Sci. 2003;998:407–12. doi:10.1196/annals.1254.053.
European Union Committee of Experts on Rare Diseases. Core recommendations on rare disease patient registration and data collection. http://www.eucerd.eu/wp-content/uploads/2013/06/EUCERD_Recommendations_RDRegistryDataCollection_adopted.pdf. Accessed 07 May 2015.
Posada de la Paz M, Groft SC. Chap. 6: patient Registries: utility, validity and inference. In: Posada de la Paz M, Groft SC, editors. Rare disease epidemiology. Advances in experimental medicine and biology. Vol. 686. Springer Netherlands; 2010. pp. 87–104.
Boncz I, Nagy J, Sebestyén A, Kőrösi L. Financing of health care services in Hungary. Eur J Health Econ. 2004;5(3):252–8.
Cetin H, Fülöp G, Zach H, Auff E, Zimprich F. Epidemiology of myasthenia gravis in Austria: rising prevalence in an ageing society. Wien Klin Wochenschr. 2012;124(21–22):763–8.
Boncz I, Brodszky V, Péntek M, et al. The disease burden of colorectal cancer in Hungary. Eur J Health Econ. 2010;10(Suppl. 1):S35–40.
Boncz I, Sebestyén A, Pintér I, Battyány I, Ember I. The effect of an organized, nationwide breast cancer screening programme on non-organized mammography activities. J Med Screen. 2008;15:14.
Alamgir H, Koehoorn M, Ostry A, Tompa E, Demers P. An evaluation of hospital discharge records as a tool for serious work related injury surveillance. Occup Environ Med. 2006;63(4):290–6.
Meretoja A, Roine RO, Kaste M, et al. Stroke monitoring on a national level: PERFECT Stroke, a comprehensive, registry-linkage stroke database in Finland. Stroke. 2010;41(10):2239–46.
Emilia-Romagna Study Group on Clinical and Epidemiological Problems in Neurology. Incidence of myasthenia gravis in the Emilia-Romagna region: a prospective multicenter study. Neurology. 1998;51:255–8.
Ööpik M, Kaasik A-E, Jakobsen J. A population based epidemiological study on myasthenia gravis in Estonia. J Neurol Neurosurg Psychiatry. 2003;74:1638–43.
Acknowledgments
The publication is supported by the TÁMOP-4.2.2.A-11/1/KONV-2012–0031 project. The project is co-financed by the European Union and the European Social Fund.
Conflict of interest
A. Foldvari, N. Kovacs, V. Sipos, G. Merth, F. Vincze, M. Szucs, and J. Sandor declare that there are no actual or potential conflicts of interest in relation to this article.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Foldvari, A., Kovacs, N., Sipos, V. et al. Estimation of incidence, prevalence, and age-at-diagnosis of myasthenia gravis among adults by hospital discharge records. Wien Klin Wochenschr 127, 459–464 (2015). https://doi.org/10.1007/s00508-015-0796-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00508-015-0796-5