Tomas Bryndziar1,2,3, Dominika Matyskova1,2, Petra Sedova1,2,3,4,5, Silvie Belaskova1,6, Miroslav Zvolsky7, Josef Bednarik2,8, Robert D Brown4, Robert Mikulik1,2,3. 1. International Clinical Research Center, St. Anne's University Hospital, Brno, Czechia. 2. Faculty of Medicine, Masaryk University, Brno, Czechia. 3. Department of Neurology, St. Anne's University Hospital, Brno, Czechia. 4. Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA. 5. Department of Internal Medicine, Hematology and Oncology, University Hospital Brno, Brno, Czechia. 6. Institute of Mathematics and Statistics, Masaryk University, Brno, Czechia. 7. Institute for Health Information and Statistics of the Czech Republic, Prague, Czechia. 8. Department of Neurology, University Hospital Brno, Brno, Czechia.
Abstract
BACKGROUND AND OBJECTIVE: Short- and long-term mortality following ischemic stroke (IS) and their predictors have not been defined in the Czech population, and studies on long-term mortality are largely missing for the populations of Central Europe. METHODS: Using the National Register of Hospitalized Patients and the Czech National Mortality Registry, we analyzed data on 1-month, 1-year, and 3-year all-cause mortality for patients admitted with IS to any of the 4 hospitals with a certified stroke unit in Brno, Czech Republic, in 2011. We reviewed discharge summaries and recorded potential factors impacting mortality after the index stroke event. Using univariate and multivariable analyses, we identified predictors of mortality at all 3 time points. RESULTS: In our multivariable model, statin use (odds ratio [OR] 0.095, p < 0.0001), age at stroke (OR 1.03, p = 0.0445), and admission National Institutes of Health Stroke Scale (NIHSS) score (OR 1.16, p < 0.0001) predicted 1-month mortality, while statin use (OR 0.43, p = 0.0004), history of cardiac failure (OR 2.17, p = 0.0137), age at stroke (OR 1.07, p < 0.0001), and admission NIHSS score (OR 1.14, p < 0.0001) predicted 1-year mortality. Statin use (OR 0.54, p = 0.0051), history of cardiac failure (OR 2.13, p = 0.0206), age at stroke (OR 1.07, p < 0.0001), and admission NIHSS score (OR 1.11, p < 0.0001) also predicted 3-year mortality. CONCLUSIONS: Our study is the first to report data on short- and long-term mortality rates and their predictors in patients hospitalized with IS in the Czech population. Our results indicate that mortality rates and predictors of mortality are consistent with those reported in studies from other populations throughout the world.
BACKGROUND AND OBJECTIVE: Short- and long-term mortality following ischemic stroke (IS) and their predictors have not been defined in the Czech population, and studies on long-term mortality are largely missing for the populations of Central Europe. METHODS: Using the National Register of Hospitalized Patients and the Czech National Mortality Registry, we analyzed data on 1-month, 1-year, and 3-year all-cause mortality for patients admitted with IS to any of the 4 hospitals with a certified stroke unit in Brno, Czech Republic, in 2011. We reviewed discharge summaries and recorded potential factors impacting mortality after the index stroke event. Using univariate and multivariable analyses, we identified predictors of mortality at all 3 time points. RESULTS: In our multivariable model, statin use (odds ratio [OR] 0.095, p < 0.0001), age at stroke (OR 1.03, p = 0.0445), and admission National Institutes of Health Stroke Scale (NIHSS) score (OR 1.16, p < 0.0001) predicted 1-month mortality, while statin use (OR 0.43, p = 0.0004), history of cardiac failure (OR 2.17, p = 0.0137), age at stroke (OR 1.07, p < 0.0001), and admission NIHSS score (OR 1.14, p < 0.0001) predicted 1-year mortality. Statin use (OR 0.54, p = 0.0051), history of cardiac failure (OR 2.13, p = 0.0206), age at stroke (OR 1.07, p < 0.0001), and admission NIHSS score (OR 1.11, p < 0.0001) also predicted 3-year mortality. CONCLUSIONS: Our study is the first to report data on short- and long-term mortality rates and their predictors in patients hospitalized with IS in the Czech population. Our results indicate that mortality rates and predictors of mortality are consistent with those reported in studies from other populations throughout the world.