Department of Cardiac Surgery, Harefield Hospital, United Kingdom.
Department of Infection Control, Prevention & Surveillance, Royal Brompton & Harefield NHS Foundation Trust, United Kingdom.
Int J Surg. 2015 Apr;16(Pt A):69-73. doi: 10.1016/j.ijsu.2015.02.008. Epub 2015 Feb 18.
Surgical site infection (SSI) following coronary artery bypass grafting (CABG) is a serious complication associated with significant morbidity and mortality. Despite the substantial impact of SSI there is lack of a specific risk stratification tool to predict this complication after CABG. This study was undertaken to develop a specific prognostic scoring system for the development of SSI that could risk-stratify patients undergoing CABG.
Between January 2009 and June 2012, continuous prospective surveillance data on SSI and a set of 41 variables were collected. Using binary logistic regression analysis we identified independent predictors of SSI. Initially we developed a predictive model in a subset of 769 patients. Dataset was expanded to 4087 cases and a final model and risk score were derived. Calibration of the scores was performed using the Hosmer-Lemeshow test.
The model had area under Receiver Operating Characteristic curve of 0.727 (0.827 for preliminary dataset). Baseline risk score incorporated independent predictors of SSI: female gender = 2 (p < 0.0001; RR 2.1), diabetes = 1 (p = 0.0098, RR 1.4) or HbA1c >7.5% = 3 (p < 0.0001; RR 3.4), body mass index ≥35 = 2 (p < 0.0001; RR 2.4), left ventricular ejection fraction < 45% = 1 (p = 0.0255; RR 1.4), and emergency surgery = 2 (p = 0.012; RR 2.4). A risk stratification system, the Brompton & Harefield Infection Score (BHIS) was developed.
BHIS effectively predicts SSI risk and may help with risk stratification in relation to public reporting and reimbursement as well as targeted prevention strategies in patients undergoing CABG.
冠状动脉旁路移植术后(CABG)的手术部位感染(SSI)是一种严重的并发症,与显著的发病率和死亡率相关。尽管 SSI 具有重大影响,但缺乏专门的风险分层工具来预测 CABG 后的这种并发症。本研究旨在开发一种专门的预测评分系统,以预测 SSI 的发生,从而对接受 CABG 的患者进行风险分层。
2009 年 1 月至 2012 年 6 月,连续前瞻性监测 SSI 和 41 个变量的监测数据。我们使用二项逻辑回归分析确定了 SSI 的独立预测因素。最初,我们在 769 例患者的亚组中开发了预测模型。数据集扩大到 4087 例,并得出最终模型和风险评分。使用 Hosmer-Lemeshow 检验对评分进行校准。
该模型的Receiver Operating Characteristic 曲线下面积为 0.727(初步数据集为 0.827)。基线风险评分纳入了 SSI 的独立预测因素:女性= 2(p < 0.0001;RR 2.1),糖尿病= 1(p = 0.0098,RR 1.4)或 HbA1c >7.5%= 3(p < 0.0001;RR 3.4),体重指数≥35 = 2(p < 0.0001;RR 2.4),左心室射血分数<45%= 1(p = 0.0255;RR 1.4),急诊手术= 2(p = 0.012;RR 2.4)。开发了一种风险分层系统,即 Brompton & Harefield 感染评分(BHIS)。
BHIS 有效地预测了 SSI 风险,可帮助对接受 CABG 的患者进行与公共报告和报销有关的风险分层以及针对特定预防策略。