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首页> 外文期刊>Chest >Peak Expiratory Flow Is Not a Quality Indicator for Spirometry: Peak Expiratory Flow Variability and FEV1 Are Poorly Correlated in an Elderly Population
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Peak Expiratory Flow Is Not a Quality Indicator for Spirometry: Peak Expiratory Flow Variability and FEV1 Are Poorly Correlated in an Elderly Population

机译：峰值呼气流量不是肺活量测定的质量指标：峰值呼气流量变异性和FEV1在老年人群中相关性很差

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Background: Peak forced expiratory flow (PEF) and FEV1 are spirometry measures used inndiagnosing and monitoring lung diseases. We tested the premise that within-test variability innPEF is associated with corresponding variability in FEV1 during a single test session.nMethods: A total of 2,464 healthy adults from the Health, Aging, and Body Composition Studynwhose spirometry results met American Thoracic Society acceptability criteria were screened andnanalyzed. The three “best” test results (highest sum of FVC and FEV1) were selected for eachnsubject. For those with acceptable spirometry results, two groups were created: group 1, normalnFEV1/FVC ratio; group 2, reduced FEV1/FVC ratio. For each subject, the difference between thenhighest and lowest PEF (u0001PEF) and the associated difference between the highest and lowestnFEV1 (u0001FEV1) were calculated. Regression analysis was performed using the largest PEF andnbest FEV1, and the percentage of u0001PEF (%u0001PEF) and percentage of u0001FEV1 (%u0001FEV1) werencalculated in both groups.nResults: Regression analysis for group 1 and group 2 showed an insignificant association betweenn%u0001PEF and %u0001FEV1 (r2nu0002 0.0001, p u0002 0.59, and r2nu0002 0.040, p u0002 0.15, respectively). For bothngroups, a 29% u0001PEF was associated with a 1% u0001FEV1.nConclusion: Within a single spirometry test session, %u0001PEF and %u0001FEV1 contain independentninformation. PEF has a higher degree of intrinsic variability than FEV1. Changes in PEF do not havena significant effect on FEV1. Spirometry maneuvers should not be excluded based on peak flownvariability. (CHEST 2007; 131:1494–1499)
机译：背景：峰值呼气流量（PEF）和FEV1是用于诊断和监测肺部疾病的肺活量测定方法。我们测试了前提：在一次测试中，测试内变异性nPEF与FEV1的相应变异性相关。n方法：来自健康，衰老和身体成分研究的2464名健康成年人的肺活量测定结果符合美国胸科学会的接受标准筛选和分析。为每个对象选择三个“最佳”测试结果（FVC和FEV1的最高和）。对于肺活量测定结果可接受的患者，创建了两组：第一组，正常nFEV1 / FVC比；第2组，降低了FEV1 / FVC比率。对于每个受试者，计算出最高和最低PEF（u0001PEF）之间的差异以及最高和最低nFEV1（u0001FEV1）之间的关联差异。使用最大的PEF和最小的FEV1进行回归分析，两组均未计算u0001PEF（％u0001PEF）的百分比和u0001FEV1（％u0001FEV1）的百分比.n结果：第1组和第2组的回归分析显示n％u0001PEF之间无显着关联和％u0001FEV1（分别为r2nu0002 0.0001，p u0002 0.59和r2nu0002 0.040，p u0002 0.15）。对于这两个组，29％的u0001PEF与1％的u0001FEV1相关。n结论：在单个肺活量测定测试会话中，％u0001PEF和％u0001FEV1包含独立的信息。 PEF比FEV1具有更高的内在变异性。 PEF的变化对FEV1没有明显影响。不应根据峰值流量变化排除肺活量的操作。 （CHEST 2007; 131：1494–1499）

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