查詢結果分析
相關文獻
頁籤選單縮合
題名 | Bacterial Pneumonia Following Acute Ischemic Stroke= |
---|---|
作者 | Chen, Li-fu; Chang, Cheng-yu; Hsu, Li-cho; Tsai, Ping-huang; Chang, Shu-ju; Chang, Shih-chieh; Yuan, Mei-kang; Lai, Yi-chun; Liu, Yu-chang; Wang, Wei-shu; |
期刊 | Journal of the Chinese Medical Association |
出版日期 | 20130200 |
卷期 | 76:2 2013.02[民102.02] |
頁次 | 頁78-82 |
分類號 | 415.922 |
語文 | eng |
關鍵詞 | Acute ischemic stroke; Pneumonia; Prognosis; |
英文摘要 | Background: The most common serious complication following acute ischemic stroke is pneumonia, which may increase mortality and worsen clinical outcomes. The purpose of this study was to investigate the predictors of 30-day mortality in patients with pneumonia following acute ischemic stroke. Methods: From June 2006 to May 2011, we retrospectively included 51 patients with pneumonia following acute ischemic stroke. We analyzed the clinical features, microbiologic data, and outcomes. Predictors of 30-day mortality were investigated by univariate and multivariate analysis. Results: The acute ischemic strokes were caused by large-artery atherosclerosis in 37 (72.5%) of the 51 patients. We found that the most common pathogen responsible for poststroke pneumonia was Klebsiella pneumoniae, followed by Pseudomonas aeruginosa and Escherichia coli. Ultimately, 12 patients died of progressive sepsis due to pneumonia after the acute ischemic stroke. The 30-day mortality rate was 23.5%. In the univariate analysis, patients who died within 30 days had higher National Institutes of Health Stroke Scale scores, higher CURB-65 scores, elevated instability of hemodynamic status, and lower Glasgow Coma Scale (GCS) scores. In Cox regression analysis, a GCS score of <9 on the day of pneumonia onset was only significant indicator for 30-day mortality (hazard ratio, 6.72; 95% confidence interval, 2.12–21.30, p = 0.001). Conclusion: Pneumonia after acute ischemic stroke is a severe complication. Once stroke-related pneumonia develops, neurologic assessment, CURB-65 score, and shock can be used to predict the ultimate prognosis. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。