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基于易感性、感染、反应和器官功能障碍概念,为急诊科就诊患者血流感染死亡率推导临床预测规则。

Derivation of a clinical prediction rule for bloodstream infection mortality of patients visiting the emergency department based on predisposition, infection, response, and organ dysfunction concept.

机构信息

Division of Infectious Diseases, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Chang Gung University College of Medicine, Taoyuan, Taiwan.

Department of Emergency Medicine, Chang-Gung University and Chang-Gung Memorial Hospital, Keelung, Taiwan.

出版信息

J Microbiol Immunol Infect. 2014 Dec;47(6):469-77. doi: 10.1016/j.jmii.2013.06.012. Epub 2013 Aug 19.

Abstract

BACKGROUND/PURPOSE: Bloodstream infection (BSI) is a serious infection with a high mortality. We aimed to construct a predictive scoring system to stratify the severity of patients with BSI visiting the emergency department (ED).

METHODS

We conducted a retrospective cohort study consisting of patients who visited the ED of a tertiary hospital with documented BSI in 2010. The potential predictors of mortality were obtained via chart review. Multivariate logistic regression was utilized to identify predictors of mortality. Penalized maximum likelihood estimation (PMLE) was applied for score development.

RESULTS

There were 1063 patients with bacteremia included, with an overall 28-day mortality rate of 13.2% (n = 140). In multiple logistic regression with penalization, the independent predictors of death were "predisposition": malignancy (β-coefficient, 0.65; +2 points); "infection": Staphylococcus aureus (S. aureus) bacteremia (0.69; +2 points), pneumonia (1.32; +4 points), and bacteremia with an unknown focus (0.70; +2 points); "response": body temperature <36 °C (1.17; +3 points), band form >5% (1.00; +3 points), and red blood cell distribution width (RDW) >15% (0.63; +2 points); and "organ dysfunction": pulse oximeter oxygen saturation <90% (0.72; +2 points) and creatinine >2 mg/dL (0.69; +2 points). The area under receiver operating characteristic curve (AUROC) for the model was 0.881 [95% confidence interval (CI), 0.848-0.913], with a better performance than the Pitt bacteremia score (AUROC: 0.750; 95% CI 0.699-0.800, p < 0.001). The patients were stratified into four risk groups: (1) low, 0-3 points, mortality rate: 1.5%; (2) moderate, 4-6 points, mortality rate: 10.5%; (3) high, 7-8 points, mortality rate: 28.6%; and (4) very high, ≥ 9 points, mortality rate: 65.5%.

CONCLUSION

The new scoring system for bacteremia could facilitate the prediction of the risk of 28-day mortality for patients visiting the ED with BSI.

摘要

背景/目的:血流感染(BSI)是一种死亡率很高的严重感染。我们旨在构建一个预测评分系统,以对急诊科(ED)就诊的 BSI 患者进行严重程度分层。

方法

我们进行了一项回顾性队列研究,纳入了 2010 年在一家三级医院就诊并确诊为 BSI 的患者。通过病历回顾获取死亡率的潜在预测因素。多变量逻辑回归用于识别死亡率的预测因素。惩罚最大似然估计(PMLE)用于评分开发。

结果

共纳入 1063 例菌血症患者,总体 28 天死亡率为 13.2%(n=140)。在具有惩罚的多变量逻辑回归中,死亡的独立预测因素为“易感性”:恶性肿瘤(β系数,0.65;+2 分);“感染”:金黄色葡萄球菌(金黄色葡萄球菌)菌血症(0.69;+2 分)、肺炎(1.32;+4 分)和不明原因菌血症(0.70;+2 分);“反应”:体温<36°C(1.17;+3 分)、带状细胞>5%(1.00;+3 分)和红细胞分布宽度(RDW)>15%(0.63;+2 分);和“器官功能障碍”:脉搏血氧饱和度<90%(0.72;+2 分)和肌酐>2mg/dL(0.69;+2 分)。模型的受试者工作特征曲线(ROC)下面积(AUROC)为 0.881[95%置信区间(CI),0.848-0.913],优于 Pitt 菌血症评分(AUROC:0.750;95%CI 0.699-0.800,p<0.001)。患者被分为四个风险组:(1)低,0-3 分,死亡率:1.5%;(2)中,4-6 分,死亡率:10.5%;(3)高,7-8 分,死亡率:28.6%;和(4)非常高,≥9 分,死亡率:65.5%。

结论

新的菌血症评分系统有助于预测急诊科就诊的 BSI 患者 28 天死亡率的风险。

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