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. 2021 Jun 24;13:5001–5011. doi: 10.2147/CMAR.S314219

Table 3.

Univariate and Multivariate Analyses for the Discrimination of Variables That Predict Uterine Leiomyosarcoma

Univariate Multivariate
OR (95% CI) P value OR (95% CI) P value
Age (years) (<50 vs ≥50) 5.46 [3.18, 9.38] <0.001 Adjusted Adjusted
Menopause (%) (post vs pre) 7.31 [4.18, 12.77] <0.001 3.40 [1.54, 7.49] 0.002
WBC (per µL) (≤5940 vs >5940) 2.72 [1.59, 4.67] <0.001 2.09 [1.18, 3.73] 0.012
ANC (per μL) (≤3404 vs >3404) 3.74 [2.04, 6.85] <0.001 3.17 [1.68, 6.02] <0.001
CRP (mg/dL) (≤0.195 vs >0.195) 29.50 [8.05, 108.10] <0.001 21.74 [5.59, 84.62] <0.001
LDH (U/L) (≤339.5 vs >339.5) 10.27 [4.45, 23.70] <0.001 10.77 [4.50, 25.76] <0.001
NLR (≤2.157 vs >2.157) 2.81 [1.64, 4.80] <0.001 2.58 [1.44, 4.60] 0.001

Note: Results of multiple logistic regression with variables show a P-value less than 0.05 in univariate regression; Multivariate model is adjusted for age.

Abbreviations: OR, odds ratio; CI, confidence interval; WBC, white blood cell; ANC, absolute neutrophil count; CRP, C-reactive protein; LDH, lactate dehydrogenase; NLR, neutrophil–lymphocyte ratio.