Huisman M G, Audisio R A, Ugolini G, Montroni I, Vigano A, Spiliotis J, Stabilini C, de Liguori Carino N, Farinella E, Stanojevic G, Veering B T, Reed M W, Somasundar P S, de Bock G H, van Leeuwen B L
University of Groningen, University Medical Center Groningen, Department of Surgery, Hanzeplein 1, 9713 GZ Groningen, The Netherlands.
University of Liverpool, St. Helens Teaching Hospital, Department of Surgery, Marshalls Cross Road, St. Helens, WA9 3DA, United Kingdom.
Eur J Surg Oncol. 2015 Jul;41(7):844-51. doi: 10.1016/j.ejso.2015.02.018. Epub 2015 Apr 13.
The aim of this study was to investigate the predictive ability of screening tools regarding the occurrence of major postoperative complications in onco-geriatric surgical patients and to propose a scoring system.
328 patients ≥ 70 years undergoing surgery for solid tumors were prospectively recruited. Preoperatively, twelve screening tools were administered. Primary endpoint was the incidence of major complications within 30 days. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated using logistic regression. A scoring system was derived from multivariate logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was applied to evaluate model performance.
At a median age of 76 years, 61 patients (18.6%) experienced major complications. In multivariate analysis, Timed Up and Go (TUG), ASA-classification and Nutritional Risk Screening (NRS) were predictors of major complications (TUG>20 OR 3.1, 95% CI 1.1-8.6; ASA ≥ 3 OR 2.8, 95% CI 1.2-6.3; NRS impaired OR 3.3, 95% CI 1.6-6.8). The scoring system, including TUG, ASA, NRS, gender and type of surgery, showed good accuracy (AUC: 0.81, 95% CI 0.75-0.86). The negative predictive value with a cut-off point >8 was 93.8% and the positive predictive value was 40.3%.
A substantial number of patients experience major postoperative complications. TUG, ASA and NRS are screening tools predictive of the occurrence of major postoperative complications and, together with gender and type of surgery, compose a good scoring system.
本研究旨在调查筛查工具对老年肿瘤外科患者术后主要并发症发生情况的预测能力,并提出一种评分系统。
前瞻性招募328例年龄≥70岁的实体瘤手术患者。术前应用12种筛查工具。主要终点为30天内主要并发症的发生率。采用逻辑回归估计比值比(OR)和95%置信区间(95%CI)。通过多变量逻辑回归分析得出评分系统。应用受试者工作特征曲线下面积(AUC)评估模型性能。
患者中位年龄为76岁,61例(18.6%)发生主要并发症。多变量分析显示,计时起立行走测试(TUG)、美国麻醉医师协会(ASA)分级和营养风险筛查(NRS)是主要并发症的预测因素(TUG>20,OR 3.1,95%CI 1.1-8.6;ASA≥3,OR 2.8,95%CI 1.2-6.3;NRS受损,OR 3.3,95%CI 1.6-6.8)。包括TUG、ASA、NRS、性别和手术类型的评分系统显示出良好的准确性(AUC:0.81,95%CI 0.75-0.86)。截断点>8时的阴性预测值为93.8%,阳性预测值为40.3%。
相当数量的患者发生术后主要并发症。TUG、ASA和NRS是预测术后主要并发症发生的筛查工具,与性别和手术类型共同构成一个良好的评分系统。