Pre-post evaluation of effects of a titanium dioxide coating on environmental contamination of an intensive care unit: the TITANIC study

Pre-post evaluation of effects of a titanium dioxide coating on environmental contamination of an intensive care unit: the TITANIC study
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DOI:
10.1016/j.jhin.2017.04.008
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发表时间:
2018-07-01
影响因子:
6.9
通讯作者:
van Zanten, A. R. H.
van Zanten, A. R. H.
中科院分区:
医学3区
文献类型:
--
作者:
de Jong, B.;Meeder, A. M.;van Zanten, A. R. H.

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背景:在欧洲医院或重症监护病房(ICU)住院的患者中,分别有5.7%和19.5%的患者会遇到医疗保健相关感染(HAIs),并且出现了抗菌素耐药性。由于医院表面受到潜在致病菌的污染,环境清洁度是减少HAIS的一个重要方面。目的:探讨二氧化钛涂层在减少ICU环境表面微生物定植方面的有效性。方法:采用前瞻性、对照、单中心的初步研究,研究二氧化钛涂层对ICU表面微生物定植的影响。在干预前和干预后,用琼脂接触板(BBLRodac板)培养表面。记录了可能影响表面细菌定植的因素。采用分层多水平框架内的重复测量分析来分析干预的效果,控制解释变量。结果:干预前和干预后一个房间内的集落形成单位(CFU)总数的平均比率为0.86(标准差0.57)。最优模型包括以下解释变量:干预(P=0.065)、周(P=0.002)、培养表面(P=0.05)。
Background: Among patients admitted to European hospitals or intensive care units (ICUs), 5.7% and 19.5% will encounter healthcare-associated infections (HAIs), respectively, and antimicrobial resistance is emerging. As hospital surfaces are contaminated with potentially pathogenic bacteria, environmental cleanliness is an essential aspect to reduce HAIs.Aim: To address the efficacy of a titanium dioxide coating in reducing the microbial colonization of environmental surfaces in an ICU.Methods: A prospective, controlled, single-centre pilot study was conducted to examine the effect of a titanium dioxide coating on the microbial colonization of surfaces in an ICU. During the pre- and post-intervention periods, surfaces were cultured with agar contact plates (BBL RODAC plates). Factors that were potentially influencing the bacterial colonization of surfaces were recorded. A repeated measurements analysis within a hierarchic multi-level framework was used to analyse the effect of the intervention, controlling for the explanatory variables.Findings: The mean ratio for the total number of colony-forming units (cfus) in a room between the pre- and post-intervention periods was 0.86 (standard deviation 0.57). The optimal model included the following explanatory variables: intervention (P=0.065), week (P=0.002), culture surfaces (P