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使用两种方法进行呼吸机相关性肺炎监测。

Ventilator-associated pneumonia surveillance using two methods.

机构信息

Centre for Inflammation Research, University of Edinburgh, Edinburgh, UK; Edinburgh Critical Care Research Group, University of Edinburgh, Edinburgh, UK; Clinical Microbiology, NHS Lothian Infection Service, Royal Infirmary of Edinburgh, Edinburgh, UK.

Edinburgh Critical Care Research Group, University of Edinburgh, Edinburgh, UK.

出版信息

J Hosp Infect. 2020 Apr;104(4):522-528. doi: 10.1016/j.jhin.2020.01.020. Epub 2020 Feb 5.

Abstract

BACKGROUND

Ventilator-associated pneumonia surveillance is used as a quality indicator due to concerns that some cases may be preventable and may contribute to mortality. Various surveillance criteria exist for the purposes of national reporting, but a large-scale direct comparison has not been conducted.

METHODS

A prospective cohort study applied two routinely used surveillance criteria for ventilator-associated pneumonia from the European Centre for Disease Control and the American Centers for Disease Control to all patients admitted to two large general intensive care units. Diagnostic rates and concordance amongst diagnostic events were compared.

FINDINGS

A total of 713 at-risk patients were identified during the study period. The European surveillance algorithm returned a rate of 4.6 cases of ventilator-associated pneumonia per 1000 ventilation days (95% confidence interval 3.1-6.6) and the American surveillance system a rate of 5.4 (3.8-7.5). The concordance between diagnostic events was poor (Cohen's Kappa 0.127 (-0.003 to 0.256)).

CONCLUSIONS

The algorithms yield similar rates, but the lack of event concordance reveals the absence of inter-algorithm agreement for diagnosing ventilator-associated pneumonia, potentially undermining surveillance as an indicator of care quality.

摘要

背景

由于担心某些病例可能是可以预防的,并可能导致死亡,呼吸机相关性肺炎监测被用作质量指标。存在用于国家报告的各种监测标准,但尚未进行大规模的直接比较。

方法

一项前瞻性队列研究将欧洲疾病预防控制中心和美国疾病控制中心的两种常规使用的呼吸机相关性肺炎监测标准应用于两个大型普通重症监护病房的所有患者。比较了诊断率和诊断事件之间的一致性。

结果

在研究期间共确定了 713 例高危患者。欧洲监测算法的呼吸机相关性肺炎发生率为每 1000 次通气日 4.6 例(95%置信区间为 3.1-6.6),美国监测系统为 5.4 例(3.8-7.5)。诊断事件之间的一致性较差(Cohen's Kappa 0.127(-0.003 至 0.256))。

结论

这些算法产生了相似的比率,但诊断事件之间缺乏一致性表明,诊断呼吸机相关性肺炎的算法之间缺乏一致性,可能会破坏监测作为护理质量指标的作用。

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