Faculty of Health Sciences, University of Ljubljana, Zdravstvena pot 5, Ljubljana, 1000, Slovenia.
Department of Cardiac Surgery, Klinikum Nuremberg, Paracelsus Medical University, Breslauer Str. 201, 90471, Nuremberg, Germany.
J Cardiothorac Surg. 2024 Feb 14;19(1):93. doi: 10.1186/s13019-024-02570-9.
Deep sternal wound infection (DSWI) following open heart surgery is associated with excessive morbidity and mortality. Contemporary DSWI risk prediction models aim at identifying high-risk patients with varying complexity and performance characteristics. We aimed to optimize the DSWI risk factor set and to identify additional risk factors for early postoperative detection of patients prone to DSWI.
Single-centre retrospective analysis of patients with isolated multivessel coronary artery disease undergoing myocardial revascularization at Paracelsus Medical University Nuremberg between 2007 and 2022 was performed to identify risk factors for DSWI. Three data sets were created to examine preoperative, intraoperative, and early postoperative parameters, constituting the "Baseline", the "Improved Baseline" and the "Extended" models. The "Extended" data set included risk factors that had not been analysed before. Univariable and stepwise forward multiple logistic regression analyses were performed for each respective set of variables.
From 5221 patients, 179 (3.4%) developed DSWI. The "Extended" model performed best, with the area under the curve (AUC) of 0.80, 95%-CI: [0.76, 0.83]. Pleural effusion requiring intervention, postoperative delirium, preoperative hospital stay > 24 h, and the use of fibrin sealant were new independent predictors of DSWI in addition to age, Diabetes Mellitus on insulin, Body Mass Index, peripheral artery disease, mediastinal re-exploration, bilateral internal mammary harvesting, acute kidney injury and blood transfusions.
The "Extended" regression model with the short-term postoperative complications significantly improved DSWI risk discrimination after surgical revascularization. Short preoperative stay, prevention of postoperative delirium, protocols reducing the need for evacuation of effusion and restrictive use of fibrin sealant for sternal closure facilitate DSWI reduction.
The registered retrospective study was registered at the study centre and approved by the Institutional Review Board of Paracelsus Medical University Nuremberg (IRB-2019-005).
心脏直视手术后的深部胸骨伤口感染(DSWI)与过高的发病率和死亡率相关。目前的 DSWI 风险预测模型旨在识别具有不同复杂性和性能特征的高危患者。我们旨在优化 DSWI 风险因素集,并确定其他风险因素,以便在术后早期发现易患 DSWI 的患者。
对 2007 年至 2022 年间在纽伦堡帕拉塞苏斯医科大学接受多血管冠状动脉疾病心肌血运重建的患者进行单中心回顾性分析,以确定 DSWI 的危险因素。创建了三个数据集,以检查术前、术中及术后早期参数,构成“基线”、“改进基线”和“扩展”模型。“扩展”数据集包括以前未分析过的危险因素。对每个变量集进行单变量和逐步向前多逻辑回归分析。
在 5221 例患者中,179 例(3.4%)发生 DSWI。“扩展”模型表现最佳,曲线下面积(AUC)为 0.80,95%CI:[0.76,0.83]。需要干预的胸腔积液、术后谵妄、术前住院时间>24 小时以及使用纤维蛋白密封剂是除年龄、胰岛素治疗的糖尿病、体重指数、外周动脉疾病、纵隔再次探查、双侧内乳动脉采集、急性肾损伤和输血之外,DSWI 的新独立预测因子。
短期术后并发症的“扩展”回归模型显著提高了手术血运重建后 DSWI 风险的区分能力。缩短术前住院时间、预防术后谵妄、减少胸腔积液引流的方案以及限制使用纤维蛋白密封剂进行胸骨闭合有助于降低 DSWI 风险。
该注册回顾性研究在研究中心注册,并得到纽伦堡帕拉塞苏斯医科大学机构审查委员会(IRB-2019-005)的批准。