| Literature DB >> 33035747 |
Jannie M B Sand1, Sarah R Rønnow2, Lasse L Langholm3, Morten A Karsdal3, Tina Manon-Jensen3, Ruth Tal-Singer4, Bruce E Miller4, Jørgen Vestbo5, Diana J Leeming3.
Abstract
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is characterized by abnormal epithelial repair resulting in a hypercoagulable state with intra-alveolar accumulation of fibrin and alveolar basement membrane destruction. This study aimed to investigate if the combination of two serological biomarkers evaluating these pathological processes could improve the prediction of mortality risk compared to single biomarkers.Entities:
Keywords: Basement membrane; Biomarkers; COPD; Clot resolution; Fibrinogen; Mortality
Mesh:
Substances:
Year: 2020 PMID: 33035747 PMCID: PMC7530580 DOI: 10.1016/j.rmed.2020.106185
Source DB: PubMed Journal: Respir Med ISSN: 0954-6111 Impact factor: 3.415
Baseline demographics.
| All | No high biomarkers | One high biomarker | Two high biomarkers | P-value | |
|---|---|---|---|---|---|
| 982 | 273 | 437 | 272 | – | |
| 626 (64%) | 162 (59%) | 288 (66%) | 176 (65%) | 0.194 | |
| 63.1 (7.2) | 61.1 (7.2) | 63.4 (7.1) | 64.4 (7.1) | <0.001 | |
| 26.8 (5.9) | 26.9 (5.7) | 26.7 (5.8) | 27.0 (6.2) | 0.692 | |
| 363 (37%) | 109 (40%) | 150 (34%) | 104 (38%) | 0.283 | |
| 47 (26) | 46 (27) | 47 (24) | 49 (28) | 0.293 | |
| 1.41 (0.51) | 1.42 (0.53) | 1.41 (0.51) | 1.41 (0.47) | 0.924 | |
| 50.6 (15.2) | 50.7 (16.0) | 50.3 (15.2) | 50.9 (14.3) | 0.860 | |
| 3.11 (0.90) | 3.07 (0.90) | 3.13 (0.92) | 3.10 (0.87) | 0.724 | |
| 1 (1–2) | 1 (1–2) | 2 (1–2) | 2 (1–2) | 0.126 | |
| 47 (33–61) | 46 (30–59) | 48 (35–61) | 46 (33–61) | 0.294 | |
| 3 (1–4) | 2 (1–4) | 3 (1–4) | 3 (2–4) | 0.151 |
Data are shown as mean (SD) unless stated otherwise. FEV1, forced expiratory volume in 1 s.
Fig. 1The combination of alveolar basement membrane destruction and fibrin clot resolution strengthened the prediction of all-cause mortality. Kaplan-Meier survival curves for no, one and two high biomarkers as defined by the median. Data are unadjusted. **p = 0.0043.