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. 2024 Jan 4;14:1285509. doi: 10.3389/fendo.2023.1285509

Table 3.

Threshold effect analysis of NLR and other inflammatory markers on DKD, albuminuria, and low-eGFR using a two-piecewise linear regression model in Model 3.

DKD Albuminuria Low-eGFR
OR1 (95%CI2) P- value OR (95%CI) P- value OR (95%CI) P- value
NLR
Fitting by standard linear model 2.90 (1.51, 5.58) 0.0014 2.01 (1.10, 3.68) 0.0224 2.50 (1.05, 5.99) 0.0390
Fitting by two-piecewise linear model
 Breakpoint (K) 3.43 3.22 1.88
 OR1(< K) 4.30 (1.77, 10.48) 0.0013 3.28 (1.30, 8.31) 0.0121 0.27 (0.04, 1.73) 0.1685
 OR2(> K) 0.88 (0.14, 5.74) 0.8961 0.60 (0.10, 3.71) 0.5863 24.02 (2.72, 212.30) 0.0042
 OR2/OR1 0.21 (0.02, 2.08) 0.1799 0.18 (0.02, 1.98) 0.1631 88.13 (2.72, 285.20) 0.0116
Logarithmic likelihood ratio test P-value 0.162 0.136 0.003
MLR
Fitting by standard linear model 6.93 (2.37, 20.31) 0.0004 5.75 (1.76, 18.76) 0.0038 2.99 (0.76, 11.83) 0.1177
Fitting by two-piecewise linear model
 Breakpoint (K) 0.43 0.29 0.21
 OR1(< K) 28.87 (6.52, 127.78) <0.0001 55.20 (3.81, 799.07) 0.0033 72.06 (0.60, 455.06) 0.0747
 OR2(> K) 0.22 (0.01, 4.60) 0.3281 1.47 (0.21, 10.20) 0.6974 1.34 (0.22, 8.33) 0.7512
 OR2/OR1 0.01 (0.01, 0.34) 0.0115 0.03 (0.01, 1.25) 0.0647 0.01 (0.01, 5.49) 0.1468
Logarithmic likelihood ratio test P-value 0.006 0.060 0.138
PLR
Fitting by standard linear model 1.01 (0.99, 1.02) 0.2460 1.01 (0.99, 1.03) 0.1251 1.01 (0.99, 1.02) 0.4864
Fitting by two-piecewise linear model
 Breakpoint (K) 113.64 193.57 66.14
 OR1(< K) 1.03 (0.99, 1.06) 0.0770 1.00 (0.99, 1.02) 0.7448 14.14 (0.01, 52.10) 0.7752
 OR2(> K) 1.00 (0.98, 1.01) 0.6753 1.06 (1.00, 1.12) 0.0337 0.99 (0.98, 1.01) 0.5739
 OR2/OR1 0.97 (0.93, 1.01) 0.1409 1.06 (0.99, 1.13) 0.0714 0.01 (0.01, 2.74) 0.7750
Logarithmic likelihood ratio test P-value 0.129 0.058 0.003
SII
Fitting by standard linear model 1.00 (1.00, 1.01) 0.0426 1.00 (0.99, 1.00) 0.1171 1.00 (0.99, 1.01) 0.0925
Fitting by two-piecewise linear model
 Breakpoint (K) 149.52 850 245
 OR1(< K) 0.97 (0.92, 1.02) 0.2072 1.00 (0.99, 1.01) 0.1983 0.98 (0.96, 1.00) 0.0597
 OR2(> K) 1.00 (1.00, 1.01) 0.0218 1.00 (0.99, 1.01) 0.7228 1.00 (1.00, 1.01) 0.0213
 OR2/OR1 1.04 (0.98, 1.09) 0.1844 1.00 (0.98, 1.00) 0.6001 1.03 (1.00, 1.05) 0.0389
Logarithmic likelihood ratio test P-value 0.182 0.599 0.031
SIRI
Fitting by standard linear model 3.01 (1.18, 7.68) 0.0213 2.45 (0.92, 6.57) 0.0742 2.17 (0.61, 7.77) 0.2320
Fitting by two-piecewise linear model
 Breakpoint (K) 1.96 1.03 0.87
 OR1(< K) 4.88 (1.34, 17.81) 0.0165 17.66 (1.09, 286.46) 0.0434 0.02 (0.01, 2.56) 0.1176
 OR2(> K) 0.68 (0.04, 12.59) 0.7940 0.97 (0.20, 4.68) 0.9721 12.02 (1.27, 113.42) 0.0299
 OR2/OR1 0.14 (0.01, 5.03) 0.2811 0.06 (0.01, 2.38) 0.1312 94.21 (0.91, 374.26) 0.0537
Logarithmic likelihood ratio test P-value 0.265 0.121 0.039
AISI
Fitting by standard linear model 1.00 (0.99, 1.01) 0.1370 1.00 (0.99, 1.01) 0.1744 1.00 (0.99, 1.01) 0.3983
Fitting by two-piecewise linear model
 Breakpoint (K) 252.08 143.92 264.44
 OR1(< K) 1.00 (0.99, 1.00) 0.3813 0.99 (0.97, 1.02) 0.5628 0.99 (0.98, 1.00) 0.1627
 OR2(> K) 1.00 (1.00, 1.01) 0.0427 1.00 (1.00, 1.01) 0.1238 1.01 (1.00, 1.01) 0.0572
 OR2/OR1 1.01 (0.99, 1.02) 0.1642 1.01 (0.98, 1.04) 0.4599 1.01 (1.00, 1.03) 0.0810
Logarithmic likelihood ratio test P-value 0.156 0.460 0.070

Adjusted for sex, age, race, education level, BMI, smoking status, alcohol consumption, TC, LDL-C, HDL-C, AST, ALT, triglycerides, PIR, CVD, hypertension, fasting glucose, glycohemoglobin, insulin use, diabetes drug use, and marital status.

1OR: Odd ratio.

295% CI: 95% confidence interval.