Kunutsor S K, Whitehouse M R, Blom A W, Beswick A D
Musculoskeletal Research Unit,School of Clinical Sciences,University of Bristol,Learning & Research Building (Level 1),Southmead Hospital,Southmead Road,Bristol, BS10 5NB,UK.
Epidemiol Infect. 2017 Jul;145(9):1738-1749. doi: 10.1017/S0950268817000486. Epub 2017 Mar 7.
Accurate identification of individuals at high risk of surgical site infections (SSIs) or periprosthetic joint infections (PJIs) influences clinical decisions and development of preventive strategies. We aimed to determine progress in the development and validation of risk prediction models for SSI or PJI using a systematic review. We searched for studies that have developed or validated a risk prediction tool for SSI or PJI following joint replacement in MEDLINE, EMBASE, Web of Science and Cochrane databases; trial registers and reference lists of studies up to September 2016. Nine studies describing 16 risk scores for SSI or PJI were identified. The number of component variables in a risk score ranged from 4 to 45. The C-index ranged from 0·56 to 0·74, with only three risk scores reporting a discriminative ability of >0·70. Five risk scores were validated internally. The National Healthcare Safety Network SSIs risk models for hip and knee arthroplasties (HPRO and KPRO) were the only scores to be externally validated. Except for HPRO which shows some promise for use in a clinical setting (based on predictive performance and external validation), none of the identified risk scores can be considered ready for use. Further research is urgently warranted within the field.
准确识别手术部位感染(SSI)或人工关节周围感染(PJI)的高危个体,会影响临床决策和预防策略的制定。我们旨在通过系统评价来确定SSI或PJI风险预测模型的开发与验证进展。我们在MEDLINE、EMBASE、科学网和Cochrane数据库中检索了有关关节置换后SSI或PJI风险预测工具开发或验证的研究;截至2016年9月的试验注册库和研究参考文献清单。共识别出9项描述SSI或PJI的16种风险评分的研究。风险评分中的组成变量数量从4到45不等。C指数范围为0.56至0.74,只有3种风险评分报告的判别能力>0.70。5种风险评分进行了内部验证。国家医疗安全网络的髋膝关节置换术SSI风险模型(HPRO和KPRO)是唯一经过外部验证的评分。除了HPRO(基于预测性能和外部验证,在临床环境中显示出一定应用前景)外,所识别的风险评分均不能认为已可投入使用。该领域迫切需要进一步研究。