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预测热烧伤患者的住院时间:预后因素的系统评价。

Predicting length of stay in thermal burns: a systematic review of prognostic factors.

机构信息

University Hospital South Manchester, Southmoor Road, Manchester M23 9LT, United Kingdom.

出版信息

Burns. 2013 Nov;39(7):1331-40. doi: 10.1016/j.burns.2013.04.026. Epub 2013 Jun 13.

Abstract

BACKGROUND

Continued improvement in all aspects of the management of thermal injury has resulted in marked improvements in the traditionally reported outcome of mortality. This has resulted in the search for alternative parameters that can be monitored to indicate the performance of burn services. Length of stay (LOS) in hospitalised burn patients has long been considered reflective of injury-associated morbidity, cost and the quality of care, which can be monitored consistently across services.

AIM

We undertook a systematic review of published literature pertaining to LOS prognostication in thermal burns to identify the relevant factors, quantify the risk associated with these factors and identify predictive prognostic models.

METHODS

Electronic searches were performed on MEDLINE, CINHAL, EMBASE, Web of Science, the Cochrane collection and a general web search was performed using Google. The searches were complemented by a manual search of the contents of leading burns journals. Quality of the studies included in the review was evaluated against published standards for prognostic studies.

RESULTS

Fourteen studies were included in the review after meeting the inclusion/exclusion criteria. Age and %TBSA were the strongest predictors of LOS in these studies. Other significant predictors included % full thickness burn, female gender, inhalation injury, surgery including escharotomy and the depth of burn. Nine studies reported multivariate models for predicting LOS in patients sustaining thermal injury. None of these models were validated and the goodness-of-fit statistic (R2) ranged from 0.15 to 0.75.

CONCLUSION

This review has demonstrated that %TBSA and age are the best predictors of LOS in published literature. Current prognostic models do not explain a significant proportion of variation in LOS.

摘要

背景

在热烧伤管理的各个方面的持续改进,导致传统报告的死亡率明显改善。这导致了寻找替代参数的研究,这些参数可以被监测,以指示烧伤服务的表现。住院烧伤患者的住院时间(LOS)长期以来被认为反映了与损伤相关的发病率、成本和护理质量,这些质量可以在服务之间持续监测。

目的

我们对有关热烧伤 LOS 预后的已发表文献进行了系统回顾,以确定相关因素,量化这些因素的风险,并确定预测预后模型。

方法

在 MEDLINE、CINHAL、EMBASE、Web of Science、Cochrane 集合和 Google 上进行了电子搜索。搜索结果通过对领先的烧伤杂志的内容进行手动搜索进行了补充。对纳入综述的研究的质量按照预测研究的标准进行了评估。

结果

在符合纳入/排除标准后,共有 14 项研究被纳入综述。在这些研究中,年龄和 %TBSA 是 LOS 的最强预测因素。其他重要的预测因素包括 %全层烧伤、女性性别、吸入性损伤、手术(包括切痂术)和烧伤深度。有 9 项研究报告了预测热损伤患者 LOS 的多变量模型。这些模型均未得到验证,拟合优度统计量(R2)范围从 0.15 到 0.75。

结论

本综述表明,%TBSA 和年龄是已发表文献中 LOS 的最佳预测因素。目前的预后模型并不能解释 LOS 变化的很大一部分。

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