From the Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (I.Y.S.), Columbia University, New York, NY.
Department of Neurology, Vagelos College of Physicians and Surgeons (M.S.V.E., A.K.B.), Columbia University, New York, NY.
Stroke. 2019 May;50(5):1046-1051. doi: 10.1161/STROKEAHA.118.023443.
Background and Purpose- Sepsis has been identified as a trigger for stroke, but the underlying mechanisms and risk factors that predispose patients with sepsis to increased stroke risk remain unclear. We sought to identify predictors of stroke after sepsis and bloodstream infections. Methods- The 2007-2009 California State Inpatient Database from the Health Care Utilization Project was used to identify patients over the age of 18 years and hospitalized with sepsis or bloodstream infection defined by International Classification of Diseases, Ninth Revision codes. Patients who died during their sepsis hospitalization were excluded. The primary outcome was a primary diagnosis of ischemic or hemorrhagic stroke on a subsequent hospitalization within 1 year. Associations between risk factors, also defined by International Classification of Diseases, Ninth Revision codes, and stroke were analyzed using multivariable logistic regression. A composite risk score was generated to predict stroke risk. Results- Of 121 947 patients with sepsis, 0.5% (n=613) had a primary diagnosis of stroke within a year of their sepsis hospitalization. Significant predictors for stroke were identified. A score was generated from these risk factors with points assigned based on regression coefficients: valvular heart diseases (1 point), congestive heart failure (1), renal failure (1), lymphoma (2), peripheral vascular diseases (2), pulmonary circulation disorders (2), and coagulopathy (3). The C statistic for the receiver operating characteristic curve for the score was 0.68. The risk of stroke increased 43% (odds ratio, 1.43; 95% CI, 1.37-1.48) per-point increase in the score. The effect of increase in score was greater among younger patients. Conclusions- Risk factors and a composite risk score for stroke may help identify a subpopulation of sepsis patients that could be targeted to reduce the short-term risk of stroke after serious infections.
背景与目的-脓毒症已被确定为中风的诱因,但导致脓毒症患者中风风险增加的潜在机制和危险因素仍不清楚。我们旨在确定脓毒症和血流感染后发生中风的预测因素。方法-利用 2007-2009 年来自医疗保健利用项目的加利福尼亚州住院患者数据库,确定年龄在 18 岁及以上并因国际疾病分类第 9 版代码定义的脓毒症或血流感染住院的患者。排除在脓毒症住院期间死亡的患者。主要结局是在随后 1 年内的住院期间首次诊断为缺血性或出血性中风。使用多变量逻辑回归分析风险因素(也由国际疾病分类第 9 版定义)与中风之间的关联。生成复合风险评分以预测中风风险。结果-在 121947 例脓毒症患者中,0.5%(n=613)在脓毒症住院后 1 年内有中风的主要诊断。确定了中风的显著预测因素。从这些风险因素生成一个评分,根据回归系数分配分数:瓣膜性心脏病(1 分)、充血性心力衰竭(1)、肾衰竭(1)、淋巴瘤(2)、外周血管疾病(2)、肺循环障碍(2)和凝血障碍(3)。评分的受试者工作特征曲线的 C 统计量为 0.68。评分每增加 1 分,中风的风险增加 43%(比值比,1.43;95%CI,1.37-1.48)。评分增加的效果在年轻患者中更大。结论-中风的危险因素和复合风险评分可能有助于识别脓毒症患者中的亚群,从而降低严重感染后短期中风风险。