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The Occurrence and Territorial Distribution of Acute Myocardial Infarctions in Hungary

2017; Elsevier BV; Volume: 20; Issue: 9 Linguagem: Inglês

10.1016/j.jval.2017.08.538

1524-4733

Noémi Németh, D Elmer, R. Pónusz, Beatrix Perjés, Attila Kerner, I Boncz, D. Endrei,

Cardiovascular Health and Risk Factors

The aim of the study was to analyze the county distribution of acute myocardial infarctions’ occurrence per 10 000 inhabitants in Hungary in 2016 according to the Hungarian Diagnosis-Related-Groups (DRG) system. Data were derived from the financial database of National Institute of Health Insurance Fund Administration and covering the year of 2016.We examined the occurrence and regional distribution of those cases where the main care-justifying diagnosis was acute myocardial infarction. We took those cases into account with the codes I21-I22 in the international classification of diseases. Regarding the analyzed period 20 507 events were recorded in the database. 59.82% of the patients were men, 40.18% of them were women. The average age of the participants was 67.36 years, the men’s being 64.79, the women’s 71.19. Regarding the classification of diseases in the majority of the examined cases the diagnosis was recorded for the first time in 99.42% (I21) while in 0.58% the disease had a repeated occurrence (I22). In the latter group the average age of the patients was higher than in the I21 group (72.21 vs. 67.34). In 2016 an average of 20.7 events came about regarding the patient’s residence per 10 000 inhabitants. The number of cases per 10 000 inhabitants was the lowest in Vas (13.08), Zala (14.98), and Borsod-Abaúj Zemplén (16.18) counties while the highest number was in Békés county (32.09), followed by Heves (30.75) and Komárom-Esztergom counties (29.25). In the examined sample the occurrence of acute myocardial infarctions was more frequent among male than female patients. In the repeated events the patients‘ average age is higher than in the cases where the disease appeared for the first time. We can find significant differences in the disease’s occurrence among counties which fact may be related to the economic situation of the given area in certain cases.