Tadiparthi S, Enache A, Kalidindi K, O'Hara J, Paleri V
Department of Plastic Surgery, Newcastle upon Tyne Hospitals, Newcastle-Upon-Tyne, UK.
Clin Otolaryngol. 2014 Jun;39(3):156-63. doi: 10.1111/coa.12250.
Identify factors which have an impact on the length of postoperative hospital stay in patients undergoing major surgical resection for head and neck cancer.
Retrospective study using hospital case notes.
Tertiary centre.
One hundred and eighty-four patients who underwent 191 major head and neck resections between 2006 and 2010 were identified from the head and neck oncology database. An additional cohort of 52 patients from a second centre was used to externally validate the model.
Data collected on 13 variables including age, preoperative haemoglobin level, body mass index, timing of surgery (primary or recurrent tumour), category of surgical procedure (clean, clean-contaminated, contaminated, dirty), tracheostomy (yes or no) and duration of the operation were analysed using a multiple linear regression.
In the 13 parameter model, the four variables that were found to significantly (P < 0.05) prolong length of stay (LOS) were surgical wound type (clean-contaminated, P = 2.19 × 10(-6) versus clean), tracheostomy (P = 0.0034), operation time (P = 0.011) and American Society of Anaesthesiologists (ASA) grades 3 and 4 (P = 0.0067) versus 1 and 2. The statistically significant variables were used to generate a preoperative submodel without the operative time and a postoperative submodel with all four variables. Overall, the best model based on adjusted R(2) was the postoperative model. When fitted on the external data set, there was no significant difference in the residuals, indicating that the models generalise across centres.
Clean-contaminated wound was the most significant factor affecting the LOS, with others being ASA grades 3 and 4, longer duration of surgery and presence of a tracheostomy. Using these parameters, it is possible to predict the LOS in patients undergoing major surgical resection for head and neck cancer.
确定对头颈部癌患者进行大型手术切除后住院时间有影响的因素。
使用医院病历进行回顾性研究。
三级中心。
从头颈肿瘤数据库中识别出2006年至2010年间接受191例大型头颈切除术的184例患者。另外从第二个中心选取52例患者组成队列,用于外部验证该模型。
收集了包括年龄、术前血红蛋白水平、体重指数、手术时机(原发性或复发性肿瘤)、手术类别(清洁、清洁-污染、污染、脏污)、气管切开术(是或否)以及手术时长等13个变量的数据,并使用多元线性回归进行分析。
在13参数模型中,发现显著(P < 0.05)延长住院时间(LOS)的四个变量为手术伤口类型(清洁-污染,P = 2.19 × 10(-6) 对比清洁)、气管切开术(P = 0.0034)、手术时间(P = 0.011)以及美国麻醉医师协会(ASA)3级和4级(P = 0.0067)对比1级和2级。使用具有统计学意义的变量生成了一个不包括手术时间的术前子模型和一个包含所有四个变量的术后子模型。总体而言,基于调整后R(2)的最佳模型是术后模型。当应用于外部数据集时,残差无显著差异,表明这些模型可在不同中心推广。
清洁-污染伤口是影响住院时间的最显著因素,其他因素包括ASA 3级和4级、手术时间较长以及存在气管切开术。使用这些参数,可以预测头颈部癌患者进行大型手术切除后的住院时间。