2010 年至 2019 年全国基于人群的调查:肺量计残障比保存(PRISm)的流行趋势和特征。

Trend of prevalence and characteristics of preserved ratio impaired spirometry (PRISm): Nationwide population-based survey between 2010 and 2019.

机构信息

Department of Laboratory Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea.

Division of Pulmonology, Department of Internal Medicine, Kosin University Gospel Hospital, Kosin University College of Medicine, Busan, Republic of Korea.

出版信息

PLoS One. 2024 Jul 23;19(7):e0307302. doi: 10.1371/journal.pone.0307302. eCollection 2024.

Abstract

PURPOSE

This study aimed to evaluate the prevalence, trends, and factors of preserved ratio with impaired spirometry (PRISm) by using a nationally representative sample.

PATIENTS AND METHODS

The datasets of the Korea National Health and Nutrition Examination Survey 2010-2019 were used: of total 32,949 participants aged ≥40 and no missing data on spirometry, 24,523 with normal, 4,623 with obstructive, and 3,803 with PRISm were identified. PRISm was defined as FEV1/FVC ≥70% and FEV1% of the predicted value (%pred) <80. PRISm-lower limit of normal (LLN) was defined when FEV1/FVC ≥LLN and FEV1 <LLN. The prevalence and trend of PRISm were estimated using the Joinpoint regression method. The trend was calculated for the periods 2010-2015 and 2017-2019, due to a change in spirometry device in June, 2016. A complex sample multivariable-adjusted regression model was used to identify factors associating PRISm.

RESULTS

Estimated average prevalence of PRISm was 10.4% (PRISm-LLN 11.1%). Joinpoint regression analyses found a relatively stable trend of PRISm for both fixed ratio and LLN. The multivariable-adjusted logistic regression model showed female sex, BMI ≥25 kg/m2, metabolic syndrome, hypertriglyceridemia, abdominal obesity, low HDL-choleterol, hypertension, and diabetes were associated with the increased probability of PRISm.

CONCLUSION

Whenever a PRISm pattern is identified in a clinical context, it may be necessary to measure absolute lung volumes to investigate underlying physiological abnormalities and to identify factors that is modifiable.

摘要

目的

本研究旨在利用全国代表性样本评估使用固定比值和界限值的肺量计检查结果正常但有气流受限(PRISm)的患病率、趋势和相关因素。

方法

使用韩国国家健康和营养调查 2010-2019 年的数据集:在总共 32949 名年龄≥40 岁且无肺量计检查缺失数据的参与者中,确定了 24523 名正常、4623 名阻塞性、3803 名 PRISm 患者。PRISm 定义为 FEV1/FVC≥70%且 FEV1 预测值的百分比(%pred)<80%。当 FEV1/FVC≥界限值且 FEV1<界限值时,定义为 PRISm-低界限值(LLN)。使用 Joinpoint 回归方法估计 PRISm 的患病率和趋势。由于 2016 年 6 月肺量计设备发生变化,计算了 2010-2015 年和 2017-2019 年期间的趋势。使用复杂样本多变量调整回归模型来确定与 PRISm 相关的因素。

结果

PRISm 的估计平均患病率为 10.4%(PRISm-LLN 为 11.1%)。Joinpoint 回归分析发现,对于固定比值和界限值,PRISm 均呈相对稳定的趋势。多变量调整的逻辑回归模型显示,女性、BMI≥25kg/m2、代谢综合征、高甘油三酯血症、腹部肥胖、低 HDL-胆固醇、高血压和糖尿病与 PRISm 发生的概率增加相关。

结论

只要在临床环境中发现 PRISm 模式,可能有必要测量绝对肺容积以调查潜在的生理异常,并确定可改变的因素。

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