Al-Qerem Walid
Department of Pharmacy, Faculty of Pharmacy, Al-Zaytoonah University of Jordan, Amman, Jordan.
Expert Rev Respir Med. 2025 Jul 3:1-11. doi: 10.1080/17476348.2025.2527382.
Accurate spirometry interpretation requires reference equations tailored to the target population. This study evaluated the performance and diagnostic agreement of the locally developed 2018 Jordanian equation and the Global Lung Initiative (GLI) global (2022), GLI-2012 Caucasian, and GLI-2012 Other/Mixed equations among healthy adult Jordanians.
In this cross-sectional study, healthy nonsmoking Jordanian adults aged ≥ 18 years were recruited from various regions. Spirometry and anthropometric data were collected. Each equation's suitability was assessed using mean z-score deviations from zero and standard deviations from one (via t-tests and chi-square tests). Linear and quantile regressions examined relationships between anthropometrics and lung function. Diagnostic agreement was evaluated using Cohen's kappa and frequency of classification shifts.
Among 799 participants (400 males), the Jordanian equation showed the best fit, with mean z-scores closest to zero and standard deviations near one. GLI global (2022) and GLI-2012 equations showed significant deviations ( < 0.001), mainly due to age-related bias. Agreement was highest between GLI global (2022) and GLI-2012 Other/Mixed; GLI-2012 Caucasian classified the fewest as normal.
The Jordanian equation provided better accuracy than GLI equations. Its use in practice may reduce misclassification and improve respiratory disease management, underscoring the value of population-specific standards.
准确解读肺功能测定结果需要针对目标人群定制参考方程。本研究评估了当地制定的2018年约旦方程与全球肺倡议组织(GLI)的全球方程(2022年)、GLI - 2012年白种人方程以及GLI - 2012年其他/混合方程在健康约旦成年人群体中的性能和诊断一致性。
在这项横断面研究中,从不同地区招募了年龄≥18岁的健康不吸烟约旦成年人。收集了肺功能测定和人体测量数据。使用与零的平均z分数偏差和与一的标准偏差(通过t检验和卡方检验)评估每个方程的适用性。线性回归和分位数回归研究了人体测量学与肺功能之间的关系。使用科恩kappa系数和分类转移频率评估诊断一致性。
在799名参与者(400名男性)中,约旦方程显示出最佳拟合,平均z分数最接近零,标准偏差接近一。GLI全球方程(2022年)和GLI - 2012年方程显示出显著偏差(<0.001),主要是由于与年龄相关的偏差。GLI全球方程(2022年)和GLI - 2012年其他/混合方程之间的一致性最高;GLI - 2012年白种人方程将最少的人分类为正常。
约旦方程比GLI方程提供了更高的准确性。在实践中使用它可能会减少错误分类并改善呼吸系统疾病管理,强调了针对特定人群标准的价值。