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Peak Expiratory Flow Rate (PEFR) Corrected for Forced Expiratory Pressure

机译:峰值呼气流量(PEFR)校正强制呼气压力

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摘要

Traditionally, PEFR is a measure of airway resistance and estimate of bronchoconstriction. It is used as a diagnostic as well as prognostic marker for respiratory diseases, especially asthma. But PEFR is effort dependent parameter which not only depends upon the airway resistance but also the Forced Expiratory Pressure (FEP) generated by the respiratory muscles. This expiratory force generated needs to be considered when interpreting the results of PEFR. Therefore, present study was undertaken to explore relationship between PEFR and FEP and to find corrected PEFR. A total of 56 physically fit volunteers were examined for PEFR using Wright's peak flow meter and FEP was estimated using a mercury manometer connected to a mouth piece with airtight seal. The results of multiple linear regression model suggested that FEP has statistically significant influence on PEFR (beta coefficient = 1.18, adjusted R20.699). The formula for corrected PEFR was derived and the coefficient of variance before and after PEFR correction was 35.53% and 30.13% respectively, suggesting that for better clinical utility PEFR should be corrected for FEP. To extrapolate the present study results to other age groups and diseased population further studies are needed.
机译:传统上,PEFR是气道阻力和支气管内估计的衡量标准。它被用作诊断以及呼吸系统疾病的预后标志物,特别是哮喘。但PEFR是努力依赖参数,其不仅取决于气道阻力,而且不仅取决于呼吸肌产生的强制呼气压力(FEP)。在解释PEFR的结果时,需要考虑这种呼气力。因此,采取了本研究以探索PEFR和FEP之间的关系,并找到纠正的PEFR。使用Wright的峰值流量计和FEP估计使用连接到具有气密密封件的嘴件的汞压力计来检查PEFR的PEFR总共对PEFR进行检查。多元线性回归模型的结果表明,FEP对PEFR(β系数= 1.18,调整后的R20.699)具有统计学意义的影响。校正PEFR的公式得出,PEFR校正之前和之后的差异系数分别为35.53%和30.13%,表明对于更好的临床效用PEFR,应纠正FEP。为了将目前的研究结果推断出对其他年龄组和患病人群进一步研究。

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