Associations between bone mineral density and chronic obstructive pulmonary disease

Author:

Zhang Xiaodiao1ORCID,Ding Keke12,Miao Xiaqi12,Wang Jianing12,Hu Binbin12,Shen Jiamin12,Hu Xueting12,Xu Yage1,Yu Beibei1,Tu Tingting1,Lin Aiju3,Chen Xianjing1,Huang Yiben1ORCID

Affiliation:

1. Department of Respiratory Medicine, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

2. School of the First Clinical Medical Sciences, Wenzhou Medical University, Wenzhou, China

3. Department of Endocrinology, Bone Density Research Laboratory, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

Abstract

Objective To assess the relationship between chronic obstructive pulmonary disease (COPD) severity and bone mineral density (BMD) in the whole body and different body areas. Methods This retrospective, cross-sectional study included patients with COPD. Demographic and lung function data, COPD severity scales, BMD, and T scores were collected. Patients were grouped by high (≥–1) and low (<–1) T scores, and stratified by body mass index, airway obstruction, dyspnoea, and exercise capacity (BODE) index. The relationship between whole-body BMD and BODE was evaluated by Kendall’s tau-b correlation coefficient. Risk factors associated with COPD severity were identified by univariate analyses. BMD as an independent predictor of severe COPD (BODE ≥5) was verified by multivariate logistic regression. BMD values in different body areas for predicting severe COPD were assessed by receiver operating characteristic curves. Results Of 88 patients with COPD, lung-function indicators and COPD severity were significantly different between those with high and low T scores. Whole-body BMD was inversely related to COPD severity scales, including BODE. Multivariate logistic regression revealed that BMD was independently associated with COPD severity. The area under the curve for pelvic BMD in predicting severe COPD was 0.728. Conclusion BMD may be a novel marker in predicting COPD severity, and pelvic BMD may have the strongest relative predictive power.

Publisher

SAGE Publications

Subject

Biochemistry (medical),Cell Biology,Biochemistry,General Medicine

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