The aim of the present study was to provide new spirometry reference equations in a sample of the Brazilian population for the following parameters: forced vital capacity (FVC), forced expiratory volume in 1 second (FEV1), FEV1/FVC ratio, peak of expiratory flow (PEF), forced expiratory flow at 50% (FEF50%), 75% average vital capacity (FEF25-75%), and average forced expiratory flow time (FEFT). This was a prospective study using results from chest radiographs, electrocardiograms, and questionnaires to investigate the participants' respiratory symptoms, sedentarism, and comorbidities (Charlson comorbidity index). From December 2010 to July 2014, individuals were randomly selected from various locations in the state of Rio de Janeiro. All individuals were examined by a single technician in the morning at the laboratory, and performed the spirometry with the same spirometer. Spirometry values were tabulated for the creation of three equation models: linear regression, logarithmic regression, and logarithms through a method that incorporates the lambda, median, and coefficient of variation (LMS method). Initially, 7003 individuals from both genders were contacted, and 454 were recruited. The data from the new equations were compared with one Brazilian and eight international equations, resulting in a high correlation (r>0.9). The values derived from the LMS method and linear regression were very similar (P>0.5), and both could be used to acquire the reference values for Brazilian spirometry. Data derived from the equations of this study were different from the current Brazilian equation, which could be justified by the different method used.

译文

本研究的目的是为以下参数在巴西人群样本中提供新的肺活量参考方程: 强制肺活量 (FVC),1秒强制呼气量 (FEV1),FEV1/FVC比,呼气流量峰值 (PEF),50% 时的强制呼气流量 (FEF50 %),75% 平均肺活量 (FEF25-75 %) 和平均强制呼气流量时间 (FEFT)。这是一项前瞻性研究,使用胸部x光片,心电图和问卷调查的结果来调查参与者的呼吸道症状,镇静和合并症 (Charlson合并症指数)。从2010年12月到2014年7月,从里约热内卢州的各个地方随机选择个人。早晨,所有个人都由一名技术人员在实验室进行了检查,并使用相同的肺活量计进行了肺活量测定。通过结合 λ,中位数和变异系数 (LMS方法) 的方法,列出了用于创建三个方程模型的肺活量测定值: 线性回归,对数回归和对数。最初,接触了来自两种性别的7003个人,并招募了454个人。将来自新方程的数据与一个巴西方程和八个国际方程进行比较,导致高度相关性 (r>0.9)。从LMS方法和线性回归得出的值非常相似 (P>0.5),并且两者都可以用于获得巴西肺活量测定法的参考值。从这项研究的方程式得出的数据与当前的巴西方程式不同,这可以通过使用的不同方法来证明。

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