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. 2017 Aug 30;3(3):00019-2016. doi: 10.1183/23120541.00019-2016

TABLE 4.

Multivariate regression analyses of overall mortality using Cox proportional hazards models

Variables Model 1 Model 2
HR (95% CI) p-value HR (95% CI) p-value
KL-6 model        
 Baseline
  FVC % predicted 0.97 (0.94–1.00) 0.047
  DLCO % predicted 0.91 (0.85–0.97) <0.01
  CPI 1.13 (1.06–1.22) <0.01
  Serum KL-6 100 U·mL−1 0.98 (0.89–1.05) 0.66 0.99 (0.90–1.05) 0.78
 6 month change
  Serum KL-6, 100 U·mL−1 1.10 (1.01–1.18) 0.03 1.10 (1.02–1.18) 0.02
SP-D model        
 Baseline
  FVC % predicted 0.97 (0.93–1.00) 0.04
  DLCO % predicted 0.94 (0.88–1.00)    0.054
  CPI 1.12 (1.05–1.21) <0.01
  Serum SP-D 10 ng·mL−1 1.01 (0.99–1.03) 0.21 1.01 (0.99–1.03) 0.15
 6 month change
  Serum SP-D 10 ng·mL−1 1.03 (0.99–1.06) 0.16 1.03 (0.99–1.06) 0.12

HR: hazard ratio; KL-6: Krebs von den Lungen-6; FVC: forced vital capacity; DLCO: diffusing capacity of the lung for carbon monoxide; CPI: composite physiologic index; SP-D: surfactant protein-D.