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. 2018 Dec 6;9:2845. doi: 10.3389/fimmu.2018.02845

Table 3.

Multiple linear regression models to determine the relationships between demographic indices, circulating leukocyte populations, and renal function in study subjects with No CKD + CKD 1-5.

Model Cohort Number Response variable Explanatory variable Coefficient 95% CI P
1a No CKD + CKD 1-5 187 eGFR Constant 110.22 94.22, 126.21 < 0.001
Age (years) −26.01 −31.84, −20.17 < 0.001
Gender (M) 2.55 −9.14, −0.98 0.46
#Monocyte −5.27 −9.47, −1.06 0.015
#Lymphocyte 2.83 −1.93, 7.59 0.24
#Neutrophil −5.06 −9.14, −0.98 0.015
1b (ageadjusted) No CKD + CKD 1-5 187 eGFR Constant 115.83 102.38, 129.28 < 0.001
Age (years) −26.64 −32.36, −20.92 < 0.001
#Monocyte −4.49 −8.53, −0.44 0.03
#Neutrophil −5.01 −9.08, −0.94 0.02

Statistical test = a) Multiple linear Regression Model, b) Multiple linear Regression Model with age correction.

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Represented as cells/mL. Cell types for which significant results were observed are bolded for emphasis.