电子实现一种新的呼吸机相关事件监测模式。可行性和验证。

Electronic implementation of a novel surveillance paradigm for ventilator-associated events. Feasibility and validation.

机构信息

1 Department of Medical Microbiology.

出版信息

Am J Respir Crit Care Med. 2014 Apr 15;189(8):947-55. doi: 10.1164/rccm.201307-1376OC.

Abstract

RATIONALE

Accurate surveillance of ventilator-associated pneumonia (VAP) is hampered by subjective diagnostic criteria. A novel surveillance paradigm for ventilator-associated events (VAEs) was introduced.

OBJECTIVES

To determine the validity of surveillance using the new VAE algorithm.

METHODS

Prospective cohort study in two Dutch academic medical centers (2011-2012). VAE surveillance was electronically implemented and included assessment of (infection-related) ventilator-associated conditions (VAC, IVAC) and VAP. Concordance with ongoing prospective VAP surveillance was assessed, along with clinical diagnoses underlying VAEs and associated mortality of all conditions. Consequences of minor differences in electronic VAE implementation were evaluated.

MEASUREMENTS AND MAIN RESULTS

The study included 2,080 patients with 2,296 admissions. Incidences of VAC, IVAC, VAE-VAP, and VAP according to prospective surveillance were 10.0, 4.2, 3.2, and 8.0 per 1000 ventilation days, respectively. The VAE algorithm detected at most 32% of the patients with VAP identified by prospective surveillance. VAC signals were most often caused by volume overload and infections, but not necessarily VAP. Subdistribution hazards for mortality were 3.9 (95% confidence interval, 2.9-5.3) for VAC, 2.5 (1.5-4.1) for IVAC, 2.0 (1.1-3.6) for VAE-VAP, and 7.2 (5.1-10.3) for VAP identified by prospective surveillance. In sensitivity analyses, mortality estimates varied considerably after minor differences in electronic algorithm implementation.

CONCLUSIONS

Concordance between the novel VAE algorithm and VAP was poor. Incidence and associated mortality of VAE were susceptible to small differences in electronic implementation. More studies are needed to characterize the clinical entities underlying VAE and to ensure comparability of rates from different institutions.

摘要

背景

准确监测呼吸机相关性肺炎(VAP)受到主观诊断标准的阻碍。引入了一种新的呼吸机相关事件(VAE)监测范式。

目的

确定使用新的 VAE 算法进行监测的有效性。

方法

在荷兰两家学术医疗中心进行前瞻性队列研究(2011-2012 年)。电子实现 VAE 监测,包括评估(感染相关)呼吸机相关条件(VAC、IVAC)和 VAP。评估与正在进行的前瞻性 VAP 监测的一致性,以及 VAE 的临床诊断和所有情况的相关死亡率。评估电子 VAE 实施中的微小差异的后果。

测量和主要结果

该研究纳入了 2080 名患者和 2296 次住院。根据前瞻性监测,VAC、IVAC、VAE-VAP 和 VAP 的发生率分别为每 1000 通气日 10.0、4.2、3.2 和 8.0。VAE 算法最多可检测到前瞻性监测确定的 VAP 患者的 32%。VAC 信号最常由容量过载和感染引起,但不一定是 VAP。死亡率的亚分布危害分别为 VAC 3.9(95%置信区间,2.9-5.3)、IVAC 2.5(1.5-4.1)、VAE-VAP 2.0(1.1-3.6)和前瞻性监测确定的 VAP 7.2(5.1-10.3)。在敏感性分析中,电子算法实施中的微小差异后死亡率估计值变化很大。

结论

新型 VAE 算法与 VAP 的一致性较差。VAE 的发生率和相关死亡率易受电子实施中的微小差异影响。需要进一步研究以确定 VAE 背后的临床实体,并确保来自不同机构的比率具有可比性。

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