Background

In 2011–2012, the European Centre for Disease Prevention and Control (ECDC) initiated the first European point prevalence survey (PPS) of healthcare-associated infections (HCAIs) in addition to targeted surveillance of the incidence of specific types of HCAI such as surgical site infections (SSIs).

Aim

To investigate whether national and multi-country SSI incidence can be estimated from ECDC PPS data.

Methods

In all, 159 hospitals were included from 15 countries that participated in both ECDC surveillance modules, aligning surgical procedures in the incidence surveillance to corresponding specialties from the PPS. National daily prevalence of SSIs was simulated from the incidence surveillance data, the Rhame and Sudderth (R&S) formula was used to estimate national and multi-country SSI incidence from the PPS data, and national incidence per specialty was predicted using a linear model including data from the PPS.

Findings

The simulation of daily SSI prevalence from incidence surveillance of SSIs showed that prevalence fluctuated randomly depending on the day of measurement. The correlation between the national aggregated incidence estimated with R&S formula and observed SSI incidence was low (correlation coefficient = 0.24), but specialty-specific incidence results were more reliable, especially when the number of included patients was large (correlation coefficients ranging from 0.40 to 1.00). The linear prediction model including PPS data had low proportion of explained variance (0.40).

Conclusion

Due to a lack of accuracy, use of PPS data to estimate SSI incidence is recommended only in situations where incidence surveillance of SSIs is not performed, and where sufficiently large samples of PPS data are available.

中文翻译：

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欧盟/欧洲经济区的手术部位感染的发生率和发生率：这些措施有何关系？

背景

在2011-2012年，欧洲疾病预防控制中心（ECDC）开展了首次医疗保健相关感染（HCAI）的欧洲点流行率调查（PPS），此外还对诸如手术等特定类型HCAI的发生率进行了有针对性的监测站点感染（SSI）。

目的

调查是否可以从ECDC PPS数据估算出国家和多国SSI发病率。

方法

共有来自15个国家的159家医院参加了这两个ECDC监视模块，使发生率监视中的外科手术程序与PPS的相应专业保持一致。从发病率监测数据中模拟了SSI的全国每日患病率，使用Rhame and Sudderth（R＆S）公式从PPS数据中估算了国家和多国SSI的发病率，并使用包含数据的线性模型预测了每个专业的全国发病率从PPS。

发现

通过SSI发生率监视对每日SSI患病率的模拟显示，患病率随测量日期的不同而随机波动。用R＆S公式估算的全国总发病率与观察到的SSI发病率之间的相关性较低（相关系数= 0.24），但特定于专业的发病率结果更为可靠，尤其是当纳入患者人数较大时（相关系数范围为0.40至0。 1.00）。包含PPS数据的线性预测模型的解释方差比例很低（0.40）。

结论

由于缺乏准确性，建议仅在不执行SSI发生率监视并且有足够大的PPS数据样本的情况下，才建议使用PPS数据来估计SSI发生率。