Suppr超能文献

复杂的头颈部大手术后的住院时间:哪些因素起作用?

Hospital stay following complex major head and neck resection: what factors play a role?

作者信息

Tadiparthi S, Enache A, Kalidindi K, O'Hara J, Paleri V

机构信息

Department of Plastic Surgery, Newcastle upon Tyne Hospitals, Newcastle-Upon-Tyne, UK.

出版信息

Clin Otolaryngol. 2014 Jun;39(3):156-63. doi: 10.1111/coa.12250.

Abstract

OBJECTIVES

Identify factors which have an impact on the length of postoperative hospital stay in patients undergoing major surgical resection for head and neck cancer.

DESIGN

Retrospective study using hospital case notes.

SETTING

Tertiary centre.

PARTICIPANTS

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

摘要

目的

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。

设计

使用医院病历进行回顾性研究。

地点

三级中心。

参与者

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。

方法

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。

结果

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。

结论

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验