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. 2024 Apr 5;12:1372731. doi: 10.3389/fcell.2024.1372731

TABLE 3.

Threshold effect analysis of MLR and other inflammatory markers on PCa using a two-piecewise linear regression model in Model 3.

MLR NLR PLR SII SIRI AISI
Standard linear model
OR a (95%CI b ) 2.28 (1.44, 3.62) 1.10 (1.04, 1.16) 1.00 (1.00, 1.01) 1.00 (1.00, 1.01) 1.06 (0.99, 1.13) 1.00 (1.00, 1.01)
p-value 0.0005 0.0004 <0.0001 0.0013 0.1074 0.0202
Fitting by two-piecewise linear model
Breakpoint (K) 0.5 4.32 215 822.68 1.36 257.6
OR1 (<K) 4.77 (1.89, 12.02) 1.20 (1.09, 1.32) 1.01 (1.00, 1.01) 1.00 (1.00, 1.01) 1.48 (1.06, 2.07) 1.00 (1.00, 1.01)
0.0009 0.0002 <0.0001 <0.0001 0.0199 0.0073
OR2 (>K) 1.38 (0.65, 2.92) 1.02 (0.92, 1.12) 1.00 (0.99, 1.00) 1.00 (0.99, 1.00) 1.01 (0.93, 1.11) 1.00 (0.99, 1.00)
0.3972 0.7072 0.2014 0.8444 0.7499 0.2863
OR2/OR1 0.29 (0.07, 1.12) 0.85 (0.72, 0.99) 0.98 (0.98, 0.99) 0.99 (0.98, 0.99) 0.68 (0.47, 0.99) 1.00 (1.00, 1.01)
0.0734 0.0383 0.0267 0.0008 0.0419 0.0134
Logarithmic likelihood ratio test p-value 0.069 0.032 0.024 <0.001 0.039 0.011

Adjusted for age, race, education level, serum uric acid, serum total calcium, TC, triglycerides, total bilirubin; BMI, eosinophil percentage, basophils percentage, smoking status, alcohol consumption, AST, ALT, PIR, diabetes, and hypertension.

a

OR: odd ratio.

b

95% CI: 95% confidence interval.