The Nonlinear Relationship Between High-Density Lipoprotein and Changes in Pulmonary Structure Function and Pulmonary Function in COPD Patients in China

• Published in: International journal of chronic obstructive pulmonary disease 2024-08, Vol.19, p.1801-1812
• Main Authors: Wen, Xiang, Wu, Xiaohui, Deng, Zhishan, Wu, Fan, Yang, Huajing, Xiao, Shan, Dai, Cuiqiong, Yang, Changli, Yu, Shuqing, Sun, Ruiting, Ran, Pixin, Zhou, Yumin
• Format: Article
• Language: English
• Subjects: Aged; Biomarkers - blood; China - epidemiology; Cholesterol; Cholesterol, HDL - blood; computed tomography imaging; copd; Cross-Sectional Studies; CT imaging; Female; Forced Expiratory Volume; high-density lipoprotein; Humans; Linear Models; Lipoproteins, HDL - blood; Lung - diagnostic imaging; Lung - physiopathology; Lung diseases, Obstructive; lung function; Male; Middle Aged; Nonlinear Dynamics; Predictive Value of Tests; Pulmonary Disease, Chronic Obstructive - blood; Pulmonary Disease, Chronic Obstructive - diagnosis; Pulmonary Disease, Chronic Obstructive - epidemiology; Pulmonary Disease, Chronic Obstructive - physiopathology; Spirometry; Surveys; Tomography, X-Ray Computed; Vital Capacity
• ISSN: 1178-2005; 1178-2005
• DOI: 10.2147/COPD.S467976

The previous findings on the correlation between spirometry and high-density lipoprotein (HDL) cholesterol are intriguing yet conflicting. The aim of this research is to evaluate the relationship between HDL levels and spirometry as well as imaging parameters in patients with chronic obstructive pulmonary disease (COPD) in China. This study encompasses a total of 907 COPD patients. Participants with complete data from questionnaire interviews, lipid profile examinations, spirometry testing, and computed tomography (CT) scans were included in the analysis. A generalized additive model was employed to identify the non-linear relationship between HDL levels and both spirometry and imaging parameters. In the presence of non-linear correlations, segmented linear regression model was applied to ascertain threshold effects. After adjusting for various factors, we found a non-linear correlation between HDL levels and spirometry/imaging parameters, with an inflection point at 4.2 (66 mg/dL). When Ln (HDL) was below 4.2, each unit increase correlated significantly with reduced post-bronchodilator FEV (0.32L, 95% CI: 0.09-0.55), decreased predicted FEV % (11.0%, 95% CI: 2.7-19.3), and lowered FEV /FVC (8.0%, 95% CI: 4.0-12.0), along with notable increases in Ln (LAA ) by 1.20 (95% CI: 0.60-1.79) and Ln (LAA ) by 0.77 (95% CI: 0.37-1.17). However, no significant associations were observed when Ln (HDL) was greater than or equal to 4.2. A non-linear correlation existed between HDL levels with lung function and CT imaging in COPD patients. Prior to reaching 66 mg/dL, an elevation in HDL was significantly associated with impaired lung function, more severe gas trapping and emphysema.