Department of Gastrointestinal Surgery, IRCCS San Raffaele Scientific Institute, San Raffaele Hospital, San Raffaele Vita-Salute University, Via Olgettina 60, 20123, Milan, Italy.
Vita-Salute San Raffaele University, Milan, Italy.
Updates Surg. 2021 Feb;73(1):111-121. doi: 10.1007/s13304-020-00848-w. Epub 2020 Jul 8.
To identify factors associated with early deviation and delayed discharge within an Enhanced Recovery after Surgery (ERAS) pathway. This is a retrospective review of prospectively collected data of consecutive patients who underwent laparoscopic or open colorectal surgery and managed with a standardized ERAS pathway between April 2015 and October 2018. ERAS items were assessed within 48 h after surgery. Patients with early complications were excluded. The influence of factors on length of stay was calculated by univariate and multivariate analysis. A binary logistic regression was used to model a predicting score. Seven hundred and thirty-three patients met the inclusion criteria. Multivariate analysis showed that age ≥ 75 years (P = 0.02), ASA score ≥ 3 (P = 0.03), open surgery or conversion to open (P = 0.001), non-compliance with the intra-operative balanced fluid therapy (P = 0.049), failure to early removal of the urinary catheter (P = 0.001), to discontinue IV fluid (P = 0.02) and to early mobilization (P = 0.001) were independently associated with ERAS failure. The generated score had a specificity of 84% and a positive predictive value of 72%. Patients who would have a length of stay longer than the median for each surgical procedure were properly identified (Area under ROC Curve = 0.753, P < 0.001). The delayed discharge could be predicted at 48 h from the intervention. The ability of the model to weight the specific role of each statistically significant variable might be a useful tool to identify the most frail patients.
确定与手术后强化康复 (ERAS) 路径中早期偏离和延迟出院相关的因素。这是一项对 2015 年 4 月至 2018 年 10 月连续接受腹腔镜或开放性结直肠手术并采用标准化 ERAS 路径管理的患者前瞻性收集数据的回顾性研究。ERAS 项目在手术后 48 小时内进行评估。排除有早期并发症的患者。通过单因素和多因素分析计算影响住院时间的因素。使用二元逻辑回归对预测评分进行建模。733 例患者符合纳入标准。多因素分析显示年龄≥75 岁(P=0.02)、ASA 评分≥3(P=0.03)、开放性手术或转为开放性手术(P=0.001)、术中不遵守平衡液体疗法(P=0.049)、未能早期拔除导尿管(P=0.001)、停止静脉输液(P=0.02)和早期活动(P=0.001)与 ERAS 失败独立相关。生成的评分具有 84%的特异性和 72%的阳性预测值。适当识别了每种手术程序的中位住院时间超过的患者(ROC 曲线下面积 = 0.753,P<0.001)。在干预后 48 小时即可预测延迟出院。该模型加权每个统计学上显著变量的特定作用的能力可能是识别最脆弱患者的有用工具。