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. 2018 May 4;19:82. doi: 10.1186/s12931-018-0779-y

Table 2.

Clinical variables and biomarkers as predictors of mortality following acute exacerbations of IIP

Variable AE-IIP total population (n = 68) AE-IPF subpopulation (n = 28)
HR (95% CI) p value HR (95% CI) p value
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)