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社区对慢性阻塞性肺疾病加重的护理评估。

Community care assessment of exacerbations of chronic obstructive pulmonary disease.

机构信息

Clinical Epidemiology and Health Service Evaluation Unit, Melbourne Health & Department of Medicine (Northern), The University of Melbourne, Australia.

出版信息

J Adv Nurs. 2010 Nov;66(11):2490-9. doi: 10.1111/j.1365-2648.2010.05436.x.

Abstract

AIM

The aim of this study was to develop a clinical algorithm to assess chronic obstructive pulmonary disease exacerbation severity in a community setting.

BACKGROUND

An important aspect of community management of exacerbations is assessing patient safety. Although researchers have investigated risk factors for rapid deterioration, there is a lack of evidence validating clinical measures of exacerbation severity.

METHODS

This was a prospective, community-based cohort study of patients enrolled in the Melbourne Longitudinal Chronic Obstructive Pulmonary Disease Cohort. The outreach team collected data on symptom severity at baseline and exacerbation onset using the Medical Research Council Dyspnoea Scale, St George Quality-of-Life Questionnaire and Symptom Severity Index.

RESULTS

Ninety-two patients were monitored from 2003 to 2005. There were 148 exacerbations: 121 (82%) were treated at home and 27 (17·5%) required hospitalization. An ordinal logistic regression model demonstrated that a combination of chronic obstructive pulmonary disease severity with dyspnoea and wheeze severity at exacerbation onset could differentiate severe from milder episodes [(OR 7·69, 95%CI: 3·9-11·5, P < 0·01), area under the receiver operating characteristics curve 0·75 (95%CI: 0·65-0·86)].

CONCLUSION

The majority of chronic obstructive pulmonary disease exacerbations can be safely managed in a community setting, but clinical assessment alone may not be sufficient to identify all patients who will develop complications such as respiratory failure. Further research is needed to validate clinical assessment and decision-making algorithms for community-management of chronic obstructive pulmonary disease exacerbations.

摘要

目的

本研究旨在开发一种临床算法,以评估社区环境中慢性阻塞性肺疾病(COPD)加重的严重程度。

背景

社区管理加重的一个重要方面是评估患者安全。尽管研究人员已经研究了快速恶化的危险因素,但缺乏验证加重严重程度的临床措施的证据。

方法

这是一项针对参加墨尔本纵向慢性阻塞性肺疾病队列研究的患者的前瞻性、基于社区的队列研究。外展团队使用医学研究委员会呼吸困难量表、圣乔治生活质量问卷和症状严重程度指数,在基线和加重发作时收集症状严重程度的数据。

结果

92 名患者于 2003 年至 2005 年接受监测。共发生 148 次加重事件:121 次(82%)在家中治疗,27 次(17.5%)需要住院治疗。有序逻辑回归模型表明,COPD 严重程度与加重发作时呼吸困难和喘息严重程度的组合可以区分严重和较轻的发作[(OR 7.69,95%CI:3.9-11.5,P < 0.01),受试者工作特征曲线下面积 0.75(95%CI:0.65-0.86)]。

结论

大多数 COPD 加重事件可以在社区环境中安全管理,但仅临床评估可能不足以识别所有将出现呼吸衰竭等并发症的患者。需要进一步研究以验证 COPD 加重社区管理的临床评估和决策算法。

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