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急诊呼吸困难的数字和视觉评分评估:一项初步研究。

Assessment of dyspnoea in the emergency department by numeric and visual scales: A pilot study.

机构信息

INSERM, unit 942, biomarkers in cardioneurovascular diseases, AP-HP, groupe hospitalier Saint-Louis-Lariboisière, department of emergency medicine, 2, rue Ambroise-Paré, 75475 Paris cedex 10, France; Hospital Santa Maria, Serv Cardiologia I, Lisbon academic medical centre, CCUL, Lisbon, Portugal.

Master 2 AIV, centre for research and interdisciplinarity, Paris, France.

出版信息

Anaesth Crit Care Pain Med. 2015 Apr;34(2):95-9. doi: 10.1016/j.accpm.2014.09.001. Epub 2015 Apr 7.

DOI:10.1016/j.accpm.2014.09.001
PMID:25858616
Abstract

OBJECTIVE(S): Dyspnoea is a common and often debilitating symptom that affects up to 50% of patients admitted to acute tertiary care hospitals. The primary purpose of this study was to compare the numeric rating scale (NRS) and the visual analogue scale (VAS) for dyspnoea evaluation in the ED setting.

STUDY DESIGN AND PATIENTS

This was a cohort study of patients admitted to the ED in a university hospital, with dyspnoea as the chief complaint.

METHODS

The agreement of the two dyspnoea scales was assessed using the intraclass correlation coefficient (ICC).

RESULTS

One hundred and seventeen patients were included in this analysis. The median age for the whole study population was 67 years and 42% of patients were male. The aetiology of dyspnoea was acute heart failure (AHF) in 35% of patients. There was good agreement between the two scores (ICC=0.795; 95% CI=0.717-0.853; P<0.001).

CONCLUSIONS

This pilot study demonstrated that numerical rating and visual analogue scales agree well when assessing the severity of dyspnoea in the ED. Further studies with larger cohorts of patients are needed to confirm these preliminary results.

摘要

目的

呼吸困难是一种常见且常使人虚弱的症状,影响多达 50%入住急性三级保健医院的患者。本研究的主要目的是比较数字评定量表(NRS)和视觉模拟量表(VAS)在急诊科呼吸困难评估中的应用。

研究设计和患者

这是一项队列研究,纳入了在一所大学医院急诊科以呼吸困难为主要主诉的患者。

方法

使用组内相关系数(ICC)评估两种呼吸困难量表的一致性。

结果

本分析纳入了 117 名患者。全研究人群的中位年龄为 67 岁,42%的患者为男性。呼吸困难的病因在 35%的患者中为急性心力衰竭(AHF)。两种评分之间具有良好的一致性(ICC=0.795;95%CI=0.717-0.853;P<0.001)。

结论

这项初步研究表明,在急诊科评估呼吸困难严重程度时,数字评定量表和视觉模拟量表具有良好的一致性。需要进一步进行更大样本量患者的研究来证实这些初步结果。

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