Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, 1097, Vienna, Austria.
J Neurol. 2011 Jun;258(6):1105-13. doi: 10.1007/s00415-010-5893-9. Epub 2011 Feb 1.
Data on long-term survival of younger patients with ischemic stroke (IS) are limited. We assessed mortality rates and clinical predictors of survival in patients with IS or transient ischemic attack (TIA) <60 years. Consecutive patients with IS or TIA <60 years admitted to nine neurological departments in Vienna between 1998 and 2001 were included into the current study. The endpoint was overall mortality. Univariate Cox regression analyses were performed. Significant variables after Bonferroni adjustment were further considered in a multivariate Cox regression analysis. Kaplan-Meier curves and ROC curves were plotted. After excluding patients who died within the first 30 days, 661 patients (65% male, mean age 50.2) were followed for a mean of 8.8 years. The cumulative mortality rate was 2.4% after 1 year and 7.8% after 5 years. Diabetes, heavy drinking, heart failure, and age remained significantly associated with mortality in the multivariate Cox regression analysis. Separate analysis of the patient groups <50 and ≥ 50 years showed none of the included factors to be significantly associated with mortality in the younger patient group. In the patient group, ≥ 50 of the same risk factors as in the whole group analysis showed a statistically significant influence. The observed mortality rates were lower compared to earlier studies conducted in younger patient groups. Although we found subgroups at higher risk of death in the entire population, in patients <50 years of age, predictors of survival remained elusive.
关于年轻缺血性脑卒中(IS)患者的长期生存数据有限。我们评估了<60 岁的 IS 或短暂性脑缺血发作(TIA)患者的死亡率和生存的临床预测因素。1998 年至 2001 年间,维也纳 9 个神经科连续收治了<60 岁的 IS 或 TIA 患者,将其纳入本研究。终点为总死亡率。进行单因素 Cox 回归分析。经 Bonferroni 校正后有意义的变量进一步在多因素 Cox 回归分析中考虑。绘制 Kaplan-Meier 曲线和 ROC 曲线。排除发病后 30 天内死亡的患者后,对 661 例患者(65%为男性,平均年龄为 50.2 岁)进行了平均 8.8 年的随访。第 1 年的累积死亡率为 2.4%,第 5 年为 7.8%。多因素 Cox 回归分析显示,糖尿病、大量饮酒、心力衰竭和年龄在死亡中仍然有显著相关性。对<50 岁和≥50 岁的患者进行单独分析,在年轻患者组中,没有发现纳入的因素与死亡率显著相关。在≥50 岁的患者组中,与全组分析相同的危险因素显示出统计学上的显著影响。与在年轻患者组中进行的早期研究相比,观察到的死亡率较低。尽管我们在整个患者群体中发现了死亡风险较高的亚组,但在<50 岁的患者中,生存预测因素仍然难以确定。