London School of Hygiene and Tropical Medicine, London, UK.
Health Technol Assess. 2011 Sep;15(30):1-156, iii-iv. doi: 10.3310/hta15300.
Surgical site infections (SSIs) are complications of surgery that cause significant postoperative morbidity. SSI has been proposed as a potential indicator of the quality of care in the context of clinical governance and monitoring of the performance of NHS organisations against targets.
We aimed to address a number of objectives. Firstly, identify risk factors for SSI, criteria for stratifying surgical procedures and evidence about the importance of postdischarge surveillance (PDS). Secondly, test the importance of risk factors for SSI in surveillance databases and investigate interactions between risk factors. Thirdly, investigate and validate different definitions of SSI. Lastly, develop models for making risk-adjusted comparisons between hospitals.
A single hospital surveillance database was used to address objectives 2 and 3 and the UK Surgical Site Infection Surveillance Service database to address objective 4.
There were four elements to the research: (1) systematic reviews of risk factors for SSI (two reviewers assessed titles and abstracts of studies identified by the search strategy and the quality of studies was assessed using the Newcastle Ottawa Scale); (2) assessment of agreement between four SSI definitions; (3) validation of definitions of SSI, quantifying their ability to predict clinical outcomes; and (4) development of operation-specific risk models for SSI, with hospitals fitted as random effects.
Reviews of SSI risk factors other than established SSI risk indices identified other risk; some were operation specific, but others applied to multiple operations. The factor most commonly identified was duration of preoperative hospital stay. The review of PDS for SSI confirmed the need for PDS if SSIs are to be compared meaningfully over time within an institution. There was wide variation in SSI rate (SSI%) using different definitions. Over twice as many wounds were classified as infected by one definition only as were classified as infected by both. Different SSI definitions also classified different wounds as being infected. The two most established SSI definitions had broadly similar ability to predict the chosen clinical outcomes. This finding is paradoxical given the poor agreement between definitions. Elements of each definition not common to both may be important in predicting clinical outcomes or outcomes may depend on only a subset of elements which are common to both. Risk factors fitted in multivariable models and their effects, including age and gender, varied by surgical procedure. Operative duration was an important risk factor for all operations, except for hip replacement. Wound class was included least often because some wound classes were not applicable to all operations or were combined because of small numbers. The American Association of Anesthesiologists class was a consistent risk factor for most operations.
The research literature does not allow surgery-specific or generic risk factors to be defined. SSI definitions varied between surveillance programmes and potentially between hospitals. Different definitions do not have good agreement, but the definitions have similar ability to predict outcomes influenced by SSI. Associations between components of the National Nosocomial Infections Surveillance risk index and odds of SSI varied for different surgical procedures. There was no evidence for effect modification by hospital. Estimates of SSI% should be disseminated within institutions to inform infection control. Estimates of SSI% across institutions or countries should be interpreted cautiously and should not be assumed to reflect quality of medical care. Future research should focus on developing an SSI definition that has satisfactory psychometric properties, that can be applied in everyday clinical settings, includes PDS and is formulated to detect SSIs that are important to patients or health services.
The National Institute for Health Research Technology Assessment programme.
手术部位感染(SSI)是手术的并发症,会导致术后发病率显著增加。SSI 已被提议作为临床治理和监测国民保健制度组织绩效的指标,以评估其护理质量。
我们旨在解决一些目标。首先,确定 SSI 的风险因素、手术分类的标准以及出院后监测(PDS)的重要性的证据。其次,检验风险因素在监测数据库中的重要性,并研究风险因素之间的相互作用。第三,研究和验证不同的 SSI 定义。最后,开发用于在医院之间进行风险调整比较的模型。
使用单一医院监测数据库来解决目标 2 和 3,使用英国手术部位感染监测服务数据库来解决目标 4。
研究有四个要素:(1)系统评价 SSI 的风险因素(两名评审员评估搜索策略确定的研究的标题和摘要,使用纽卡斯尔-渥太华量表评估研究的质量);(2)评估四种 SSI 定义之间的一致性;(3)验证 SSI 定义,量化其预测临床结果的能力;(4)开发特定手术的 SSI 风险模型,将医院作为随机效应进行拟合。
对 SSI 风险因素的综述,除了已确定的 SSI 风险指数外,还确定了其他风险因素;其中一些是特定于手术的,但其他因素适用于多种手术。最常被识别的因素是术前住院时间的长短。对 SSI 的 PDS 进行的综述证实,如果要在机构内随着时间的推移对 SSI 进行有意义的比较,就需要进行 PDS。使用不同的定义,SSI 率(SSI%)有很大的差异。一种定义仅将更多的伤口归类为感染,而另一种定义则将更多的伤口归类为感染。不同的 SSI 定义也将不同的伤口归类为感染。两种最常用的 SSI 定义在预测所选临床结果方面具有相似的能力。鉴于定义之间的一致性很差,这一发现是矛盾的。可能是因为每个定义中都有一些不常见的元素,这些元素对预测临床结果很重要,或者结果可能只取决于两者都共同具有的某些元素。在多变量模型中拟合的风险因素及其影响,包括年龄和性别,因手术程序而异。手术时间是所有手术的重要风险因素,除了髋关节置换术。伤口分类被包含的频率最低,因为有些伤口分类不适用于所有手术,或者因为数量较少而被合并。美国麻醉医师协会(ASA)分级是大多数手术的一致风险因素。
研究文献无法确定手术特异性或通用的风险因素。SSI 定义在不同的监测项目之间以及潜在地在不同的医院之间存在差异。不同的定义之间没有很好的一致性,但它们都有相似的能力来预测受 SSI 影响的结果。国家医院感染监测风险指数的组成部分与 SSI 的关联因手术程序而异。没有证据表明存在医院间的效应修饰。SSI%的估计值应在机构内传播,以告知感染控制。不同机构或国家之间的 SSI%估计值应谨慎解释,不应被视为反映医疗质量。未来的研究应集中于开发具有满意的心理测量特性的 SSI 定义,该定义可在日常临床环境中应用,包括 PDS,并旨在检测对患者或卫生服务重要的 SSI。
英国国家卫生研究院技术评估计划。