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儿科急诊中手动与自动脓毒症筛查工具的比较。

Comparison of Manual and Automated Sepsis Screening Tools in a Pediatric Emergency Department.

机构信息

Division of Emergency Medicine, Department of Medicine and

Departments of Pediatrics and.

出版信息

Pediatrics. 2021 Feb;147(2). doi: 10.1542/peds.2020-022590.

Abstract

OBJECTIVES

To compare the performance and test characteristics of an automated sepsis screening tool with that of a manual sepsis screen in patients presenting to a pediatric emergency department (ED).

METHODS

We conducted a retrospective cohort study of encounters in a pediatric ED over a 2-year period. The automated sepsis screening algorithm replaced the manual sepsis screen 1 year into the study. A positive case was defined as development of severe sepsis or septic shock within 24 hours of disposition from the ED. We calculated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive and negative likelihood ratios with 95% confidence intervals (CIs) for each.

RESULTS

There were 122 221 ED encounters during the study period and 273 cases of severe sepsis. During year 1 of the study, the manual screen was performed in 8910 of 61 026 (14.6%) encounters, resulting in the following test characteristics: sensitivity of 64.6% (95% CI 54.2%-74.1%), specificity of 91.1% (95% CI 90.5%-91.7%), PPV of 7.3% (95% CI 6.3%-8.5%), and NPV of 99.6% (95% CI 99.5%-99.7%). During year 2 of the study, the automated screen was performed in 100% of 61 195 encounters, resulting in the following test characteristics: sensitivity of 84.6% (95% CI 77.4%-90.2%), specificity of 95.1% (95% CI 94.9%-95.2%), PPV of 3.7% (95% CI 3.4%-4%), and NPV of 99.9% (95% CI 99.9%-100%).

CONCLUSIONS

An automated sepsis screening algorithm had higher sensitivity and specificity than a widely used manual sepsis screen and was performed on 100% of patients in the ED, ensuring continuous sepsis surveillance throughout the ED stay.

摘要

目的

比较自动化脓毒症筛查工具与手动脓毒症筛查在儿科急诊就诊患者中的表现和检测特征。

方法

我们进行了一项回顾性队列研究,对两年期间儿科急诊就诊的病例进行了研究。在研究进行一年后,自动化脓毒症筛查算法取代了手动脓毒症筛查。阳性病例定义为从急诊室出院后 24 小时内发生严重脓毒症或脓毒性休克。我们计算了每个病例的敏感性、特异性、阳性预测值(PPV)、阴性预测值(NPV)以及阳性和阴性似然比,并计算了 95%置信区间(CI)。

结果

在研究期间,共有 122221 次急诊就诊,273 例严重脓毒症。在研究的第一年,在 61026 次就诊中的 8910 次(14.6%)进行了手动筛查,得出以下检测特征:敏感性为 64.6%(95%CI 54.2%-74.1%),特异性为 91.1%(95%CI 90.5%-91.7%),PPV 为 7.3%(95%CI 6.3%-8.5%),NPV 为 99.6%(95%CI 99.5%-99.7%)。在研究的第二年,在 61195 次就诊中进行了 100%的自动筛查,得出以下检测特征:敏感性为 84.6%(95%CI 77.4%-90.2%),特异性为 95.1%(95%CI 94.9%-95.2%),PPV 为 3.7%(95%CI 3.4%-4%),NPV 为 99.9%(95%CI 99.9%-100%)。

结论

与广泛使用的手动脓毒症筛查相比,自动化脓毒症筛查算法具有更高的敏感性和特异性,并且在急诊室的所有患者中都进行了检测,从而确保在整个急诊就诊期间持续进行脓毒症监测。

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