流量-容积曲线的图形分析：一项初步研究。
Graphic analysis of flow-volume curves: a pilot study.
作者信息
Lee Jungsil, Lee Choon-Taek, Lee Jae Ho, Cho Young-Jae, Park Jong Sun, Oh Yeon-Mok, Lee Sang-Do, Yoon Ho Il
机构信息
Department of Internal Medicine, Seoul National University College of Medicine, Division of Pulmonary and Critical Care Medicine, Seoul National University Bundang Hospital, 166, Gumi-ro, Bundang-gu, 463-707, Seongnam-si, Gyeonggi-do, Republic of Korea.
Department of Pulmonary and Critical Care Medicine and Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
出版信息
BMC Pulm Med. 2016 Jan 22;16:18. doi: 10.1186/s12890-016-0182-8.
BACKGROUND
Conventional spirometric parameters have shown poor correlation with symptoms and health status of chronic obstructive pulmonary disease (COPD). While it is well-known that the pattern of the expiratory flow-volume curve (EFVC) represents ventilatory dysfunction, little attempts have been made to derive quantitative parameters by analyzing the curve. In this study, we aimed to derive useful parameters from EFVC via graphic analysis and tried to validate them in patients with COPD.
METHODS
Using Graphical Analysis 3.4 Vernier Software, we derived from the EFVC such parameters as area of obstruction (Ao), area of triangle (AT), area of rectangle (AR) and ratio of volume at 75 and 25% peak expiratory flow (PEF) (0.25/0.75 V). For validation, we reviewed clinical and spirometric data of 61 COPD patients from Seoul National University Airway Registry (SNUAR) and Korean obstructive Lung Disease (KOLD) cohorts.
RESULTS
Of all parameters, only RV/TLC significantly correlated with scores from St. George's Respiratory Questionnaire (SGRQ) (r = 0.447, p = 0.037). Six-minute walking distance (6MWD) highly correlated with Ao/AR (r = -0.618, p = 0.005) and Ao/PEF (r = -0.581, p = 0.009) whereas neither FEV1 nor FEV1/FVC had significant correlation with 6MWD.
CONCLUSIONS
Ao/AR and Ao/PEF are promising parameters which correlate well with the exercising capacity of COPD patients.
背景
传统肺量计参数与慢性阻塞性肺疾病（COPD）的症状和健康状况相关性较差。虽然众所周知呼气流量-容积曲线（EFVC）的形态代表通气功能障碍，但通过分析该曲线得出定量参数的尝试较少。在本研究中，我们旨在通过图形分析从EFVC中得出有用参数，并试图在COPD患者中对其进行验证。
方法
使用Graphical Analysis 3.4 Vernier软件，我们从EFVC中得出诸如阻塞面积（Ao）、三角形面积（AT）、矩形面积（AR）以及呼气峰值流量（PEF）75%和25%时的容积比（0.25/0.75 V）等参数。为进行验证，我们回顾了来自首尔国立大学气道登记处（SNUAR）和韩国阻塞性肺病（KOLD）队列的61例COPD患者的临床和肺量计数据。
结果
在所有参数中，只有RV/TLC与圣乔治呼吸问卷（SGRQ）评分显著相关（r = 0.447，p = 0.037）。六分钟步行距离（6MWD）与Ao/AR（r = -0.618，p = 0.005）和Ao/PEF（r = -0.581，p = 0.009）高度相关，而FEV1和FEV1/FVC与6MWD均无显著相关性。
结论
Ao/AR和Ao/PEF是有前景的参数，与COPD患者的运动能力相关性良好。
Zotero 插件