Al-Hasan M N, Juhn Y J, Bang D W, Yang H-J, Baddour L M
Department of Medicine, Division of Infectious Diseases, University of South Carolina School of Medicine, Columbia, SC, USA; Department of Medicine, Division of Infectious Diseases, College of Medicine, Mayo Clinic, Rochester, MN, USA.
Clin Microbiol Infect. 2014 Sep;20(9):886-91. doi: 10.1111/1469-0691.12607. Epub 2014 Mar 26.
A risk score was recently derived to predict mortality in adult patients with Gram-negative bloodstream infection (BSI). The aim of this study was to provide external validation of the BSI mortality risk score (BSIMRS) in a population-based cohort. All residents of Olmsted County, Minnesota, with Escherichia coli and Pseudomonas aeruginosa BSI from 1 January 1998 to 31 December 2007 were identified. Logistic regression was used to examine the association between BSIMRS and mortality. Area under receiver operating characteristic curve (AUC) was calculated to quantify the discriminative ability of the BSIMRS to predict a variety of short-term and long-term outcomes. Overall, 424 unique Olmsted County residents with first episodes of E. coli and P. aeruginosa BSI were included in the study. Median age was 68 (range 0-99) years, 280 (66%) were women, 61 (14%) had cancer and 9 (2%) had liver cirrhosis. The BSIMRS was associated with 28-day mortality (p <0.001) with an AUC of 0.86. There was an almost 56% increase in 28-day mortality for each point increase in BSIMRS (OR 1.56, 95% CI 1.40-1.78). A BSIMRS ≥ 5 had a sensitivity of 74% and a specificity of 87% to predict 28-day mortality with a negative predictive value of 97%. The BSIMRS had AUC of 0.85, 0.85 and 0.81 for 7-, 14- and 365-day mortality, respectively. BSIMRS stratified mortality with high discrimination in a population-based cohort that included patients of all age groups who had a relatively low prevalence of cancer and liver cirrhosis.
最近得出了一个风险评分,用于预测成年革兰氏阴性血流感染(BSI)患者的死亡率。本研究的目的是在一个基于人群的队列中对BSI死亡率风险评分(BSIMRS)进行外部验证。确定了明尼苏达州奥尔姆斯特德县1998年1月1日至2007年12月31日期间所有患有大肠杆菌和铜绿假单胞菌BSI的居民。采用逻辑回归分析来检验BSIMRS与死亡率之间的关联。计算受试者工作特征曲线下面积(AUC),以量化BSIMRS预测各种短期和长期结局的判别能力。总体而言,424名首次发生大肠杆菌和铜绿假单胞菌BSI的奥尔姆斯特德县居民被纳入研究。中位年龄为68岁(范围0 - 99岁),280名(66%)为女性,61名(14%)患有癌症,9名(2%)患有肝硬化。BSIMRS与28天死亡率相关(p <0.001),AUC为0.86。BSIMRS每增加1分,28天死亡率几乎增加56%(比值比1.56,95%可信区间1.40 - 1.78)。BSIMRS≥5预测28天死亡率的敏感性为74%,特异性为87%,阴性预测值为97%。对于7天、14天和365天死亡率,BSIMRS的AUC分别为0.85、0.85和0.81。在一个基于人群的队列中,BSIMRS对死亡率进行分层,具有较高的判别能力,该队列包括所有年龄组的患者,其癌症和肝硬化患病率相对较低。