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预测成人呼气峰值流量的新回归方程。

New regression equations for predicting peak expiratory flow in adults.

作者信息

Nunn A J, Gregg I

机构信息

Medical Research Council, Cardiothoracic Epidemiology Group, Brompton Hospital, London.

出版信息

BMJ. 1989 Apr 22;298(6680):1068-70. doi: 10.1136/bmj.298.6680.1068.

Abstract

An earlier study of peak expiratory flow (PEF) in normal adults contained too few men aged over 55 and women aged over 65 for the regression equations to be used for prediction in older people. A subsequent study was therefore carried out on an additional 23 men and 29 women aged 55 or over who were lifelong non-smokers and satisfied the same strict criteria of normality that had been used in the original study. The data from both studies were combined and a new model used to calculate equations for the regression of PEF on age and height in the two sexes. With this model predicted values could be derived for men and women aged between 15 and 85. These new equations gave predicted values in men and women aged less than 55 and 65, respectively, which were almost identical with those reported previously. The new regression equations for PEF enable values to be predicted for people aged 15-85 and so enhance the accuracy of testing in the elderly.

摘要

一项早期针对正常成年人呼气峰值流量(PEF)的研究,纳入的55岁以上男性和65岁以上女性过少,以至于回归方程无法用于预测老年人的情况。因此,随后又对另外23名55岁及以上的男性和29名55岁及以上的女性进行了研究,这些人都是终生不吸烟者,且符合原始研究中使用的相同严格正常标准。两项研究的数据合并后,使用一个新模型来计算两性中PEF随年龄和身高变化的回归方程。利用该模型,可以得出15至85岁男性和女性的预测值。这些新方程分别给出了55岁以下男性和65岁以下女性的预测值,与之前报道的几乎相同。新的PEF回归方程能够预测15 - 85岁人群的值,从而提高了对老年人检测的准确性。

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