| Literature DB >> 29728109 |
Jannie M B Sand1, Yoshinori Tanino2, Morten A Karsdal3, Takefumi Nikaido2, Kenichi Misa2, Yuki Sato2, Ryuichi Togawa2, Xintao Wang2, Diana J Leeming3, Mitsuru Munakata2.
Abstract
BACKGROUND: Idiopathic interstitial pneumonia (IIP) is characterized by an increased rate of extracellular matrix (ECM) remodeling resulting in fibrosis. Acute exacerbations of IIP represent periods of increased disease activity, thus we hypothesized that ECM remodeling was altered during acute exacerbations and investigated this by serological neo-epitope biomarkers.Entities:
Keywords: Acute exacerbation; Biomarkers; Extracellular matrix; Idiopathic interstitial pneumonia; Versican
Mesh:
Substances:
Year: 2018 PMID: 29728109 PMCID: PMC5935977 DOI: 10.1186/s12931-018-0779-y
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
Patient characteristics
| Total IIP population | IPF subpopulation | Paired IIP | |||||||
|---|---|---|---|---|---|---|---|---|---|
| S | AE | S | AE | S | AE | ||||
| n | 29 | 68 | 11 | 28 | 28 | 28 | |||
| Age (mean SD) | 69 (8) | 71 (7) | 0.206 | 67 (8) | 71 (7) | 0.150 | 68.3 (7.6) | 68.3 (7.6) | NA |
| Female gender (n %) | 6 (21%) | 12 (18%) | 0.726 | 0 (0%) | 0 (0%) | NA | 6 (21%) | 6 (21%) | NA |
| Smokers (n %) | |||||||||
| Current | 0 (0%) | 1 (1%) | 0.514 | 0 (0%) | 0 (0%) | NA | 0 (0%) | 0 (0%) | NA |
| Ex | 23 (79%) | 50 (74%) | 0.548 | 9 (82%) | 23 (82%) | 0.981 | 22 (79%) | 22 (79%) | |
| Never | 6 (21%) | 17 (25%) | 0.649 | 2 (18%) | 5 (18%) | 0.981 | 6 (21%) | 6 (21%) | |
| FVC %pred (mean SD) | 79 (27) | 56 (19) | < 0.0001 | 73 (13) | 55 (16) | 0.0014 | 77 (26) | 59 (24) | < 0.0001 |
| VC (%pred), mean SD | 78.7 (26.0) | 54.6 (18.9) | < 0.0001 | 72.7 (13.5) | 53.6 (16.0) | 0.0023 | 76 (25) | 57 (23) | < 0.0001 |
| Time from IIP diagnosis to AE admission, months (median IQR) | 12 (3–38) | 29 (11–40) | 24 (8–38) | ||||||
| Treatment duration from AE admission, days (median IQR) | 8 (3–14) | 7 (2–12) | 8 (4–16) | ||||||
| Non-survivors at 100 days after AE admission (n %) | 37 (54%) | 13 (46%) | 15 (54%) | ||||||
| Time to death after AE admission, days (median IQR) | 15 (6–35) | 15 (4–43) | 17 (10–30) | ||||||
Patient characteristics at time of stability (S) and acute exacerbation (AE) of idiopathic interstitial pneumonia (IIP) for the total population, and subpopulations of patients with idiopathic pulmonary fibrosis (IPF) or patients with paired samples (IPF n = 11). S and AE were compared for each population using Mann-Whitney test, Chi squared test, or Wilcoxon test as appropriate
Fig. 1Serum biomarker levels at stability and acute exacerbations. Biomarker levels are shown in the total IIP population (left) and the IPF subpopulation (right) at stability (S, white) and at acute exacerbation (AE, grey). Data are shown as Tukey box-plots where the box represents the interquartile range (IQR) with the median shown as a line, whiskers represent 1.5 times the IQR, and circles show data points outside this range. Dotted line indicate reference biomarker level of a healthy population. Statistical significance was determined by Mann-Whitney test (*p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001)
Fig. 2Paired serum biomarker data for the IIP population at acute exacerbation and stability. Data are shown as line plots at stability (S-IIP, white) and at acute exacerbation (AE-IIP, grey) for the paired IIP population (n = 28), with adjacent median value with interquartile range (IQR). Statistical significance was determined by paired Wilcoxon test (*p < 0.05, **p < 0.01, ***p < 0.001)
Clinical variables and biomarkers as predictors of mortality following acute exacerbations of IIP
| Variable | AE-IIP total population ( | AE-IPF subpopulation ( | ||
|---|---|---|---|---|
| HR (95% CI) | HR (95% CI) | |||
| Clinical variables | ||||
| Age | 1.059 (1.007–1.113) | 0.025* | 1.045 (0.952–1.147) | 0.357 |
| FVC %pred | 0.985 (0.961–1.008) | 0.195 | 1.023 (0.991–1.057) | 0.164 |
| Time from diagnosis to admission, months (median IQR) | 1.010 (0.999–1.020) | 0.066 | 1.013 (0.991–1.034) | 0.255 |
| Treatment duration from admission, days (median IQR) | 0.961 (0.915–1.009) | 0.110 | 0.940 (0.856–1.031) | 0.187 |
| Female gender | 2.420 (1.166–5.025) | 0.018* | NA | NA |
| Ex smoker | 0.631 (0.312–1.279) | 0.202 | 1.120 (0.248–5.054) | 0.883 |
| Current smoker | 0.000 (5× e− 191 - 963× e177) | 0.957 | NA | NA |
| Biomarkers | ||||
| BGM | 1.047 (0.759–1.442) | 0.783 | 0.966 (0.562–1.662) | 0.901 |
| C1M | 1.277 (0.946–1.714) | 0.108 | 1.449 (0.911–2.316) | 0.116 |
| C3M | 1.010 (0.722–1.412) | 0.955 | 0.878 (0.486–1.585) | 0.665 |
| C4M | 1.214 (0.879–1.675) | 0.237 | 1.115 (0.681–1.831) | 0.663 |
| C6M | 1.042 (0.774–1.406) | 0.785 | 1.160 (0.702–1.915) | 0.564 |
| CRPM | 0.959 (0.707–1.304) | 0.792 | 0.939 (0.538–1.638) | 0.824 |
| ELM7 | 1.101 (0.798–1.518) | 0.559 | 0.954 (0.559–1.628) | 0.862 |
| VCANM | 0.636 (0.432–0.937) | 0.022* | 0.828 (0.446–1.538) | 0.551 |
The predictive value of clinical variables for mortality following an acute exacerbation of idiopathic interstitial pneumonia (IIP, n = 68) or the subpopulation of idiopathic pulmonary fibrosis (IPF, n = 28) was evaluated by univariate Cox regression. The predictive value of biomarkers measured at time of acute exacerbation for mortality outcome was evaluated by multiple Cox regression adjusting for age and gender for IIP and by univariate Cox regression for IPF. Data are shown as mean hazard ratio (HR) with 95% confidence intervals (CI). HR for biomarkers are shown per one standard deviation (SD) increase in biomarker levels at time of acute exacerbation. Asterisks indicate statistical significance (*p < 0.05)
Fig. 3Biomarkers as predictors of mortality following acute exacerbations of IIP or IPF. Cox regression analysis for mortality risk presented as hazard ratio (HR) with 95% confidence intervals for one standard deviation (SD) increase in biomarker levels at time of acute exacerbation for the total population of IIP (left) and the subpopulation of IPF (right). HR for IIP was corrected for age and gender. Asterisks indicate statistical significance (*p < 0.05)
Fig. 4Kaplan-Meier curves for survival by biomarker tertiles at time of acute exacerbation of IIP. Asterisks indicate statistical significance between the lowest (T1), middle (T2), and highest (T3) biomarker tertiles (*p < 0.05)