Table 6. Logistic Regression Analysis for FGR Groups.
  Univariate Analysis Results Multivariate Analysis Results
  Wald OR CI p Wald OR CI p
Age 0.871 1.032 0.965 - 1.104 0.351        
BMI .811 0.969 0.906 - 1.037 0.368        
Gestational Age 36.35 0.443 0.340 - 0.578 <0.001        
Birth Weight 18.78 0.991 0.986 - 0.995 <0.001 18.87 0.991 0.986 - 0.995 <0.001
Psg-1 0.965 0.998 0.995 - 1.002 0.326        
Hemoglobin 2.729 1.233 0.962 - 1.582 0.099        
Platelets 0.152 1.000 1.000 - 1.000 0.697        
Blood Urea Nitrogen 4.789 1.149 1.015 - 1.301 0.029        
Creatinine 0.285 1.069 0.837 - 1.365 0.593        
Aspartate Aminotransferase 1.725 0.974 0.936 - 1.013 0.189        
Alanine Aminotransferase 1.100 1.025 0.979 - 1.072 0.294        

GA (95 %); BMI: body mass index; OR: odds ratio; CI: confidence interval; Wald: test statistic value.
Since the dependent variable consists of 2 groups, binominal logistic regression was used. Control group taken as reference category. As a result of univariate analysis, variables with p <0.25 were included in multivariate analysis. Backward LR was used in multivariate analysis. Hosmer and Lemeshow test p > 0.05 was out, and the models had good data compatibility.