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预测普通人群的术后肺部并发症。

Predicting postoperative pulmonary complications in the general population.

机构信息

Department of Anesthesiology and Postoperative Care, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain.

出版信息

Curr Opin Anaesthesiol. 2013 Apr;26(2):107-15. doi: 10.1097/ACO.0b013e32835e8acd.

Abstract

PURPOSE OF REVIEW

Postoperative pulmonary complications (PPCs) are common and lead to longer hospital stays and higher mortality. A wide range of patient, anaesthetic and surgical factors have been associated with risk for PPCs. This review discusses our present understanding of PPC risk factors that can be used to plan preoperative risk reduction strategies. The methodological and statistical basis for building risk scores is also described.

RECENT FINDINGS

Studies in specific surgical populations or large patient samples have identified a range of predictors of PPC risk. Factors such as age, types of comorbidity and surgical characteristics have been found to be relevant in most of these studies. Recently, researchers have begun to develop risk scoring systems for a PPC composite outcome or for specific PPCs, especially pneumonia and respiratory failure. Preoperative arterial oxyhaemoglobin saturation is an objective measure that is easy to record and discriminates level of risk for impaired cardiorespiratory function. Preoperative anaemia and recent respiratory infection are factors that have lately been found to confer risk for PPCs.

SUMMARY

PPC risk prediction scales based on large population studies are being developed. New studies to confirm the validity of these scales in different geographic areas will be needed before we can be sure of their generalizability.

摘要

目的综述

术后肺部并发症(PPCs)较为常见,可导致住院时间延长和死亡率升高。大量患者、麻醉和手术因素与 PPC 风险相关。本文讨论了目前对 PPC 危险因素的理解,这些危险因素可用于术前制定降低风险的策略。还描述了构建风险评分的方法学和统计学基础。

最新发现

在特定手术人群或大量患者样本中进行的研究确定了一系列 PPC 风险预测因素。在这些研究中,年龄、合并症类型和手术特征等因素被认为与大多数 PPC 相关。最近,研究人员开始开发 PPC 复合结局或特定 PPC(尤其是肺炎和呼吸衰竭)的风险评分系统。术前动脉血氧饱和度是一种客观的测量方法,易于记录,可区分心肺功能受损的风险程度。术前贫血和近期呼吸道感染是最近发现的与 PPC 相关的危险因素。

总结

基于大型人群研究的 PPC 风险预测量表正在开发中。在我们确定其普遍性之前,需要新的研究来确认这些量表在不同地理区域的有效性。

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