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. 2021 Oct 21;14(11):1067. doi: 10.3390/ph14111067

Table 4.

Multiple Cox regression models predicting lung cancer mortality.

Model Parameters HR 95% CI HR p
I (for serum SOD1 concentration) Serum SOD1 per 1 pg/mL 1.005 1.002–1.008 <0.001
Clinical stage IV vs. I 3.22 1.61–6.44 <0.001
Clinical stage III vs. I 3.25 1.53–6.90 0.002
Clinical stage II vs. I 0.61 0.22–1.72 0.350
II (for serum SOD2 concentration) Serum SOD2 per 1 ng/mL 1.30 1.09–1.56 0.005
Clinical stage IV vs. I 2.55 1.22–5.35 0.013
Clinical stage III vs. I 3.03 1.40–6.56 0.005
Clinical stage II vs. I 0.76 0.27–2.15 0.602

SOD1: superoxide dismutase 1; SOD2: superoxide dismutase 2; HR: hazard ratio; CI: confidence interval. Models I and II were adjusted using the following parameters: albumin (continuous), DM (yes/no), clinical stage (I/II/III/IV), platelet count (<150/150–400/>400 × 103 cells/µL), NLR (<2.67 vs. ≥2.67 arbitrary unit), ceruloplasmin (<0.266 vs. ≥0.266 g/L), CRP (≤10 vs. >10 mg/dL), and GPS (arbitrary unit).