Wu Cheng, Qin Yingyi, Lin Zhen, Yi Xiyan, Wei Xin, Ruan Yiming, He Jia
Department of Health Statistics, Second Military Medical University, Shanghai, China, Shanghai, China.
Department of Neurology, University of South Florida, Tampa, Florida.
J Stroke Cerebrovasc Dis. 2020 May;29(5):104764. doi: 10.1016/j.jstrokecerebrovasdis.2020.104764. Epub 2020 Mar 12.
Aphasia is one of the most severe symptoms in stroke patients, affecting one-third of acute stroke patients. We aimed to investigate the prevalence and outcomes of aphasia in patients with acute ischemic stroke (AIS).
We computed the weighted prevalence of aphasia in AIS patients using the 2003 to 2014 National Inpatient Sample databases. Crude regression model, multivariable regression model, and propensity score matching were used to evaluate the impact of aphasia on the clinical outcomes in AIS patients. We performed the Subpopulation Treatment Effect Pattern Plot (STEPP) analyses in propensity score matching cohort to visually display the effect of interaction between aphasia and age on the clinical outcomes.
A total of 16.93% of 4,339,156 AIS patients identified were with aphasia. The proportion of patients with comorbid aphasia increased from 13.34% in 2003 to 21.94% in 2014 (P < .0001). The results of both multivariable regression model and propensity score matching analyses indicated aphasia in AIS as a risk factor for in-hospital deaths. Aphasia was linked to prolonged length of stay (0.66 day, P < .0001) and high hospitalization cost ($971.35, P < .0001). In the STEPP analyses, in-hospital mortality rate increased with age, and the rate was higher in patients with aphasia, but the ratios decreased with an increase in age.
Prevalence of comorbid aphasia with AIS is increasing, and it has a significant impact on clinical outcomes. Additionally, aphasia shows a greater impact on survival and medical burden among young patients with AIS.
失语症是中风患者最严重的症状之一,影响三分之一的急性中风患者。我们旨在调查急性缺血性中风(AIS)患者失语症的患病率和预后。
我们使用2003年至2014年全国住院患者样本数据库计算AIS患者失语症的加权患病率。采用粗回归模型、多变量回归模型和倾向得分匹配来评估失语症对AIS患者临床结局的影响。我们在倾向得分匹配队列中进行亚组治疗效果模式图(STEPP)分析,以直观显示失语症与年龄之间的相互作用对临床结局的影响。
在4339156例已识别的AIS患者中,共有16.93%患有失语症。合并失语症患者的比例从2003年的13.34%增加到2014年的21.94%(P <.0001)。多变量回归模型和倾向得分匹配分析的结果均表明,AIS患者的失语症是院内死亡的危险因素。失语症与住院时间延长(0.66天,P <.0001)和高住院费用(971.35美元,P <.0001)相关。在STEPP分析中,院内死亡率随年龄增加而升高,失语症患者的死亡率更高,但该比率随年龄增加而降低。
AIS合并失语症的患病率正在上升,并且对临床结局有重大影响。此外,失语症对年轻AIS患者的生存和医疗负担影响更大。