Dataset Information

Longitudinal decline in lung function: a community-based cohort study in Korea.

ABSTRACT: Progressive decline in lung function is the hallmark of chronic obstructive pulmonary disease (COPD). We aimed to assess the rate of decline in forced expiratory volume in 1 second (FEV₁) in patients from a community cohort database in Korea. 5,865 subjects aged 40-69 years from the Ansung-Ansan cohort database I-III (2001-2006) were included in this study. We assessed the annual rate of decline in FEV₁ over time in relation to smoking status, patient sex, and presence or absence of pre-bronchodilator airflow limitation using a generalized additive mixed model. The mean follow-up duration was 3.8 years. The annual mean decline in FEV₁ in the entire cohort was significantly more rapid for men than women (31.3 mL vs 27.0 mL, P = 0.003). Among men without pre-bronchodilator airflow limitation, annual mean declines in FEV₁ were 31.5, 35.5, and 40.1 mL for never smokers, former smokers (P = 0.09 vs. never smokers), and current smokers (P < 0.001 vs. never smokers), respectively; and 23.4, 19.7, and 33.9 mL, respectively, for men with pre-bronchodilator airflow limitation. Thus, among Korean males, smoking accelerates lung function decline over time whereas smoking cessation slows the rate of FEV₁ decline regardless of pre-bronchodilator airflow limitation. This underscores the importance of smoking cessation in Koreans.

SUBMITTER: Leem AY

PROVIDER: S-EPMC6754397 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

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Longitudinal decline in lung function: a community-based cohort study in Korea.

Leem Ah Young AY Park Boram B Kim Young Sam YS Chang Joon J Won Sungho S Jung Ji Ye JY

Scientific reports 20190920 1

Progressive decline in lung function is the hallmark of chronic obstructive pulmonary disease (COPD). We aimed to assess the rate of decline in forced expiratory volume in 1 second (FEV<sub>1</sub>) in patients from a community cohort database in Korea. 5,865 subjects aged 40-69 years from the Ansung-Ansan cohort database I-III (2001-2006) were included in this study. We assessed the annual rate of decline in FEV<sub>1</sub> over time in relation to smoking status, patient sex, and presence or a ...[more]

PMID: 31541126

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Project description:The Rationale: Molecular markers of disease activity that are predictive of forced vital capacity (FVC) progression in idiopathic pulmonary fibrosis are needed. Objectives: Develop a predictor using longitudinal within-patient gene expression differences (ΔGE) in peripheral blood mononuclear cells (PBMC) to predict of FVC progression. Methods: Patients in the training cohort (n=74) experiencing ≥10% relative reduction in FVC% of predicted over 12 months were categorized as progressors in contrast to the remaining stable patients. Baseline to 4-month within-patient ΔGE were correlated with FVC status. FVC-predictor genes were prioritized by two-group comparison with FDR<5%, logistic LASSO regression with p<0.05, and 10-Fold Cross-Validation with ≥50% support. Receiver operating characteristic with area under the curve (AUC) analyses were conducted in training subsets and independent validation cohorts from UChicago (n=27), UPMC (n=35), and Imperial (n=24) where different transcriptome assay platforms and varying transcriptome sampling times were used to derive ΔGE. Results: Intra-subject Compared to cross-sectional analysis of baseline GE, our longitudinal ΔGE variation approach demonstratedlargely reduced within-group sample variation and increased statistic power fin progressor and stable groups for prediction model development. A 25-gene FVC-predictor separated “progressors” from “stable” by Principal Component Analysis in the training and subsets of the training cohort. The resulting FVC-predictor consistently demonstrated high discriminatory performance independent of transcriptome assay platforms and varying sampling times in validation cohorts (AUC= 0.77-0.80). TGF beta was the highest-ranking canonical pathway by Gene Set Enrichment Analysis. Conclusions: Our novel short-term longitudinal within-patient ΔGE approach identified a FVC-predictor which may reflect disease activity and prove to be a reliable biomarker predictive of future FVC decline.

Dataset Information

Longitudinal decline in lung function: a community-based cohort study in Korea.

Publications

Longitudinal decline in lung function: a community-based cohort study in Korea.

Similar Datasets

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