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首页> 外文期刊>Journal of stroke and cerebrovascular diseases: The official journal of National Stroke Association >One-month to 10-year survival in the Copenhagen stroke study: Interactions between stroke severity and other prognostic indicators
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One-month to 10-year survival in the Copenhagen stroke study: Interactions between stroke severity and other prognostic indicators

机译：哥本哈根中风研究的1个月至10年生存期：中风严重程度与其他预后指标之间的相互作用

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摘要

We studied the association of stroke severity with survival from 1 month to 10 years after stroke and explored how stroke severity interacts with other prognostic indicators with time. The study is based on 999 stroke patients from the community-based Copenhagen Stroke Study (mean age, 74.3 ± 11.0 years; 56% women; mean Scandinavian Stroke Scale [SSS], 38.0 ± 17.4). Evaluation included stroke severity (based on the SSS), computed tomography scan, and a cardiovascular risk profile. Using logistic regression models, we examined the relevance of the SSS on mortality at 1 month and 1, 5, and 10 years. We analyzed the proportion of the variation explained by the models and bias of risk factors estimates with and without the SSS in the model. Mortality rate was 16.6% at 1 month, 31.5% at 1 year, 60.2% at 5 years, and 81.3% at 10 years. In models including the SSS, 22.4%, 20.9%, 32.8%, and 39.5% of the variance was explained for the endpoints of 1 month, 1 year, 5 years, and 10 years, respectively. When SSS was left out of the model, the corresponding values were 6.9%, 13.3%, 29.0%, and 35.1%. Factors significantly associated with survival were SSS at 1 month; SSS, age, diabetes, and stroke type at 1 year; SSS, age, sex, previous stroke, other complicating diseases, diabetes, smoking, and atrial fibrillation at 5 years; and SSS, age, sex, other complicating diseases, and diabetes at 10 years. Our data suggest that stroke severity is significantly associated with short-term and long-term survival. It is the all-important predictor of short-term survival, whereas it is of less importance in predicting long-term survival.
机译：我们研究了卒中严重程度与卒中后1个月至10年生存率之间的关系，并探讨了卒中严重程度与其他预后指标之间的相互作用。该研究基于社区哥本哈根哥本哈根卒中研究的999名卒中患者（平均年龄，74.3±11.0岁; 56％为女性;平均斯堪的纳维亚卒中量表[SSS]，38.0±17.4）。评估包括中风严重度（基于SSS），计算机断层扫描和心血管风险状况。使用逻辑回归模型，我们检查了SSS与1个月，1、5和10年时死亡率的相关性。我们分析了模型解释的变化比例以及模型中是否包含SSS的风险因素估计值的偏差。死亡率在1个月时为16.6％，在1年时为31.5％，在5年时为60.2％，在10年时为81.3％。在包括SSS在内的模型中，分别针对1个月，1年，5年和10年的端点解释了22.4％，20.9％，32.8％和39.5％的方差。将SSS排除在模型之外时，相应的值为6.9％，13.3％，29.0％和35.1％。与存活率显着相关的因素是1个月时的SSS。 1岁时的SSS，年龄，糖尿病和中风类型; 5岁时的SSS，年龄，性别，以前的中风，其他复杂疾病，糖尿病，吸烟和心房颤动;以及10岁时的SSS，年龄，性别，其他复杂疾病和糖尿病。我们的数据表明，中风的严重程度与短期和长期生存率显着相关。它是短期生存的最重要的预测因素，而在预测长期生存方面则没有那么重要。

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