International Clinical Research Center, St. Anne's University Hospital, Brno, Czechia.
Faculty of Medicine, Masaryk University, Brno, Czechia.
Cerebrovasc Dis. 2022;51(3):296-303. doi: 10.1159/000519937. Epub 2021 Nov 17.
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.
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.
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.
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.
在捷克人群中，缺血性卒中（IS）患者的短期和长期死亡率及其预测因素尚未明确，且有关中欧人群长期死亡率的研究也大多缺失。
我们利用国家住院患者登记系统和捷克国家死亡率登记系统，分析了 2011 年在捷克布尔诺的 4 家具有认证卒中单元的医院中因 IS 入院的患者的 1 个月、1 年和 3 年全因死亡率数据。我们查阅了出院小结并记录了影响指数卒中事件后死亡率的潜在因素。使用单变量和多变量分析，我们确定了所有 3 个时间点的死亡率预测因素。
在我们的多变量模型中，他汀类药物的使用（比值比 [OR] 0.095，p < 0.0001）、卒中时的年龄（OR 1.03，p = 0.0445）和入院国立卫生研究院卒中量表（NIHSS）评分（OR 1.16，p < 0.0001）预测了 1 个月的死亡率，而他汀类药物的使用（OR 0.43，p = 0.0004）、心力衰竭史（OR 2.17，p = 0.0137）、卒中时的年龄（OR 1.07，p < 0.0001）和入院 NIHSS 评分（OR 1.14，p < 0.0001）预测了 1 年的死亡率。他汀类药物的使用（OR 0.54，p = 0.0051）、心力衰竭史（OR 2.13，p = 0.0206）、卒中时的年龄（OR 1.07，p < 0.0001）和入院 NIHSS 评分（OR 1.11，p < 0.0001）也预测了 3 年的死亡率。
本研究首次报告了捷克人群中因 IS 住院患者的短期和长期死亡率及其预测因素的数据。我们的结果表明，死亡率和死亡率预测因素与来自世界各地其他人群的研究报告一致。
