BACKGROUND: High stroke mortality in central-eastern European countries might be due to higher stroke incidence, more severe strokes or less effective acute care than in countries with lower mortality rate. Hospital databases usually yield more detailed information on risk factors, stroke severity and short-term outcome than population-based registries. PATIENTS AND METHODS: The Debrecen Stroke Database, data of 8088 consecutively hospitalised patients with acute cerebrovascular disease in a single stroke centre in East Hungary between October 1994 and December 2006, is analysed. Risk factors were recorded and stroke severity on admission was scored by the Mathew stroke scale. The modified Glasgow outcome scale was used to describe patient condition at discharge. RESULTS: Mean age was 68+/-13 years, 11.4% had haemorrhagic stroke. The rate of hypertension on admission was 79% in men, and 84% in women, 40.3% of men and 19.8% of women were smokers, and 34% of all patients had a previous cerebrovascular disease in their history. Case fatality was 14.9%, and 43% had some disability at discharge. Outcome at discharge was worse with higher age, higher glucose, higher blood pressure, higher white cell count and erythrocyte sedimentation rate and more severe clinical signs on admission. In multivariate analysis admission blood pressure lost its significance in predicting outcome. CONCLUSIONS: In this large Hungarian stroke unit database hypertension on admission, smoking and previous cerebrovascular disease were more frequent than in most western databases. These findings indicate major opportunities for more efficient stroke prevention in this and probably other eastern European countries.
BACKGROUND:High stroke mortality in central-eastern European countries might be due to higher stroke incidence, more severe strokes or less effective acute care than in countries with lower mortality rate. Hospital databases usually yield more detailed information on risk factors, stroke severity and short-term outcome than population-based registries. PATIENTS AND METHODS: The Debrecen Stroke Database, data of 8088 consecutively hospitalised patients with acute cerebrovascular disease in a single stroke centre in East Hungary between October 1994 and December 2006, is analysed. Risk factors were recorded and stroke severity on admission was scored by the Mathew stroke scale. The modified Glasgow outcome scale was used to describe patient condition at discharge. RESULTS: Mean age was 68+/-13 years, 11.4% had haemorrhagic stroke. The rate of hypertension on admission was 79% in men, and 84% in women, 40.3% of men and 19.8% of women were smokers, and 34% of all patients had a previous cerebrovascular disease in their history. Case fatality was 14.9%, and 43% had some disability at discharge. Outcome at discharge was worse with higher age, higher glucose, higher blood pressure, higher white cell count and erythrocyte sedimentation rate and more severe clinical signs on admission. In multivariate analysis admission blood pressure lost its significance in predicting outcome. CONCLUSIONS: In this large Hungarian stroke unit database hypertension on admission, smoking and previous cerebrovascular disease were more frequent than in most western databases. These findings indicate major opportunities for more efficient stroke prevention in this and probably other eastern European countries.
Authors: András Folyovich; Ildikó Vastagh; Anna Kéri; Angéla Majoros; Koppány Levente Kovács; András Ajtay; Zsuzsanna Laki; Bence Gunda; Katalin Erdei; Laura Lenti; Zsófia Dános; Dániel Bereczki Journal: Int J Public Health Date: 2015-04-08 Impact factor: 3.380
Authors: András Folyovich; Dávid Biczó; Nadim Al-Muhanna; Anna K Béres-Molnár; Ádám Fejős; Ádám Pintér; Dániel Bereczki; Antal Fischer; Károly Vadasdi; Ferenc Pintér Journal: Environ Monit Assess Date: 2015-08-02 Impact factor: 2.513
Authors: Rita Szepesi; Ibolya Katalin Széll; Tibor Hortobágyi; László Kardos; Katalin Nagy; Levente István Lánczi; Ervin Berényi; Dániel Bereczki; László Csiba Journal: Biomed Res Int Date: 2015-01-08 Impact factor: 3.411