Machine learning based on metabolomics unveils neutrophil extracellular trap-related metabolic signatures in non-small cell lung cancer patients undergoing chemoimmunotherapy

Table 3 Univariate analysis of chemoimmunotherapy efficacy in non-small cell lung cancer patients

Variables	Univariate analysis
	HR	OR (95%CI)	P value
Age	1.004	0.956-1.061	0.798
Sex	1.047	0.305-2.734	0.871
Histologic subtypes	2.033	0.835-4.817	0.119
IL-6	1.005	0.990-1.023	0.463
IL-8	1.000	0.997-1.002	0.762
NETs	0.999	0.998-1.000	0.006
PS score	0.494	0.193-1.267	0.142
T stage	0.858	0.600-1.352	0.614
N stage	0.863	0.576-1.504	0.769
M stage	0.326	0.276-1.626	0.376
PD-L1 expression	1.029	1.010-1.051	0.004
CD3 percentage	0.985	0.919-1.079	0.769
CD4 percentage	1.068	0.989-1.156	0.094
CD8 percentage	1.008	0.941-1.079	0.827
NK percentage	1.025	0.969-1.093	0.354
B cell percentage	0.933	0.860-1.025	0.162
NLR	1.135	0.739-1.739	0.565
PMN percentage	0.784	0.544-1.141	0.206
Lymphocyte percentage	0.811	0.457-5.365	0.476

CI: Confidence interval; HR: Hazard ratio; IL: Interleukin; NETs: Neutrophil extracellular traps; NK: Natural killer; NLR: Neutrophil-to-lymphocyte ratio; OR: Odds ratio; PMN: Polymorphonuclear neutrophil; PS: Performance status.