caa a22 4500 606240934 CHVBK 20210128101310.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s00508-015-0796-5 doi (NATIONALLICENCE)springer-10.1007/s00508-015-0796-5 Estimation of incidence, prevalence, and age-at-diagnosis of myasthenia gravis among adults by hospital discharge records [Elektronische Daten] [Anett Foldvari, Nora Kovacs, Valeria Sipos, Gabriella Merth, Ferenc Vincze, Maria Szucs, Janos Sandor] 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. Springer-Verlag Wien, 2015 Myasthenia gravis nationallicence Hospital discharge records nationallicence Incidence nationallicence Prevalence nationallicence Age-at-diagnosis nationallicence Foldvari Anett Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut Kovacs Nora Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut Sipos Valeria Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut Merth Gabriella National Institute for Quality- and Organizational Development in Healthcare and Medicines, Directorate General of IT and Health System Analysis, Budapest, Hungary aut Vincze Ferenc Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut Szucs Maria Department of Epidemiology, County Institute of State Public Health Service, Szekszárd, Hungary aut Sandor Janos Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut Wiener klinische Wochenschrift Springer Vienna 127/11-12(2015-06-01), 459-464 0043-5325 127:11-12<459 2015 127 508 https://doi.org/10.1007/s00508-015-0796-5 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00508-015-0796-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Foldvari Anett Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut NATIONALLICENCE 700 1- Kovacs Nora Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut NATIONALLICENCE 700 1- Sipos Valeria Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut NATIONALLICENCE 700 1- Merth Gabriella National Institute for Quality- and Organizational Development in Healthcare and Medicines, Directorate General of IT and Health System Analysis, Budapest, Hungary aut NATIONALLICENCE 700 1- Vincze Ferenc Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut NATIONALLICENCE 700 1- Szucs Maria Department of Epidemiology, County Institute of State Public Health Service, Szekszárd, Hungary aut NATIONALLICENCE 700 1- Sandor Janos Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, PO Box 2, 4012, Debrecen, Hungary aut NATIONALLICENCE 773 0- Wiener klinische Wochenschrift Springer Vienna 127/11-12(2015-06-01), 459-464 0043-5325 127:11-12<459 2015 127 508