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心力衰竭临床改善后呼吸音能量及其分布模式的变化:一项初步研究。

Respiratory sound energy and its distribution patterns following clinical improvement of congestive heart failure: a pilot study.

机构信息

Division of Critical Care Medicine, Robert Wood Johnson School of Medicine, Camden, NJ 08103, USA.

出版信息

BMC Emerg Med. 2010 Jan 15;10:1. doi: 10.1186/1471-227X-10-1.

Abstract

BACKGROUND

Although congestive heart failure (CHF) patients typically present with abnormal auscultatory findings on lung examination, respiratory sounds are not normally subjected to additional analysis. The aim of this pilot study was to examine respiratory sound patterns of CHF patients using acoustic-based imaging technology. Lung vibration energy was examined during acute exacerbation and after clinical improvement.

METHODS

Respiratory sounds throughout the respiratory cycle were captured using an acoustic-based imaging technique. Twenty-three consecutive CHF patients were imaged at the time of presentation to the emergency department and after clinical improvement. Digital images were created (a larger image represents more homogeneously distributed vibration energy of respiratory sound). Geographical area of the images and respiratory sound patterns were quantitatively analyzed. Data from the CHF patients were also compared to healthy volunteers.

RESULTS

The median (interquartile range) geographical areas of the vibration energy image of acute CHF patients without and with radiographically evident pulmonary edema were 66.9 (9.0) and 64.1(9.0) kilo-pixels, respectively (p < 0.05). After clinical improvement, the geographical area of the vibration energy image of CHF patients without and with radiographically evident pulmonary edema were increased by 18 +/- 15% (p < 0.05) and 25 +/- 16% (p < 0.05), respectively.

CONCLUSIONS

With clinical improvement of acute CHF exacerbations, there was more homogenous distribution of lung vibration energy, as demonstrated by the increased geographical area of the vibration energy image.

摘要

背景

尽管充血性心力衰竭(CHF)患者通常在肺部检查时出现异常听诊结果,但呼吸音通常不会进行额外分析。本初步研究旨在使用基于声学的成像技术检查 CHF 患者的呼吸音模式。在急性加重期和临床改善后检查肺部振动能量。

方法

使用基于声学的成像技术在整个呼吸周期中捕获呼吸声。在急诊科就诊时和临床改善后对 23 例连续 CHF 患者进行成像。创建数字图像(更大的图像表示呼吸声振动能量更均匀地分布)。对图像的地理区域和呼吸音模式进行定量分析。还将 CHF 患者的数据与健康志愿者进行比较。

结果

无和有放射影像学肺水肿的急性 CHF 患者的振动能量图像的地理区域中位数(四分位距)分别为 66.9(9.0)和 64.1(9.0)千像素(p<0.05)。在临床改善后,无和有放射影像学肺水肿的 CHF 患者的振动能量图像的地理区域分别增加了 18 +/- 15%(p<0.05)和 25 +/- 16%(p<0.05)。

结论

随着急性 CHF 加重的临床改善,肺部振动能量的分布更加均匀,这表现为振动能量图像的地理区域增加。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d11a/2821310/ade9c1e873e4/1471-227X-10-1-1.jpg

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