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. 2022 Feb;14(2):278–294. doi: 10.21037/jtd-21-1418

Table 2. Univariate and multivariate Cox proportional hazard regression analysis to evaluated prognostic factors.

Parameters HR 95% CI P value
Univariate analysis
   Gender, male vs. female 0.987 0.403–2.416 0.978
   Age 1.027 0.980–1.076 0.272
   Smoking, CS or ES vs. NS 0.877 0.336–2.289 0.789
   Diagnosis of IPF, Clinical vs. SLB 1.696 0.831–3.460 0.147
   BMI 0.939 0.839–1.051 0.277
   mMRC, ≥2 vs. <2 4.591 2.247–9.380 <0.001
   %FVC* 0.950 0.930–0.971 <0.001
   %DLco** 0.960 0.939–0.983 0.001
   Neutrophils in BAL*, % 1.087 1.011–1.169 0.025
   Lymphocytes in BAL*, % 0.973 0.919–1.029 0.338
   KL-6*, ×100 U/mL 1.056 1.018–1.095 0.004
   SP-D*, ×10 ng/mL 1.020 1.005–1.036 0.009
Multivariate analysis stepwise selection procedure
   %FVC 0.955 0.930–0.982 0.001
   mMRC, ≥2 vs. <2 2.824 1.265–6.305 0.011
   Lymphocytes in BAL, % 0.927 0.866–0.991 0.027

Prognostic significance of each parameter was evaluated by univariate Cox proportional hazard regression analysis. Multivariate analysis with stepwise method was performed using all parameters to clarify prognostic factors. *, n=68; **, n=67, n=69 for the other parameters. HR, hazard ratio; CI, confidence interval; IPF, idiopathic pulmonary fibrosis; BMI, body mass index; mMRC, modified Medical Research Council score for shortness of breathe; %FVC, percent predicted value of forced vital capacity; %DLco, percent predicted value of diffusing capacity of carbon monoxide; KL-6, Krebs von den Lungen-6; SP-D, surfactant protein.