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定义和预测严重社区获得性肺炎。

Defining and predicting severe community-acquired pneumonia.

机构信息

Division of Pulmonary and Critical Care Medicine, Intermountain Medical Center, University of Utah, Salt Lake City, Utah, USA.

出版信息

Curr Opin Infect Dis. 2010 Apr;23(2):158-64. doi: 10.1097/QCO.0b013e3283368333.

Abstract

PURPOSE OF REVIEW

Community-acquired pneumonia is a significant clinical and public health problem. Defining and predicting severe pneumonia is difficult but important.

RECENT FINDINGS

Several new predictive models and more sophisticated approaches to describing pneumonia severity have been recently proposed, with subsequent validation in varied patient populations. Early data suggest that biomarkers may be useful in the future.

SUMMARY

Definitions of pneumonia severity depend on the relevant clinical or public health question. A health services reference definition seems most useful in most settings. The Infectious Disease Society of America/American Thoracic Society 2007 guidelines and SMART-COP are two recent promising methods for predicting severe pneumonia at the time of presentation. The traditional pneumonia severity index and Confusion Uremia Respiratory rate Blood pressure (CURB)-65 models are less useful. Accurate assessment of severity has important implications for triage, outcome, and defining populations for research applications. Novel biomarkers, while somewhat promising, do not yet have a validated role in pneumonia severity assessment.

摘要

目的综述

社区获得性肺炎是一个重大的临床和公共卫生问题。定义和预测重症肺炎具有挑战性,但非常重要。

最近的发现

最近提出了一些新的预测模型和更复杂的方法来描述肺炎的严重程度,并在不同的患者群体中进行了验证。早期数据表明,生物标志物在未来可能有用。

总结

肺炎严重程度的定义取决于相关的临床或公共卫生问题。在大多数情况下,卫生服务参考定义似乎最有用。美国传染病学会/美国胸科学会 2007 年指南和 SMART-COP 是目前预测就诊时重症肺炎的两种有前途的方法。传统的肺炎严重指数和意识模糊、肾衰竭、呼吸急促、血压(CURB)-65 模型的作用则较小。准确评估严重程度对分诊、预后和确定研究人群具有重要意义。新型生物标志物虽然有一定的前景,但在肺炎严重程度评估中尚未发挥经过验证的作用。

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