Classifying Chronic Kidney Disease Stages Based on Predicted Value of Estimated Glomerular Filtration Rate From Serum Creatinine Levels Using Chronic Kidney Disease Risk Factors and Renal Sinus Anteroposterior Diameter on a Computed Tomography Image

Objective: This study aimed to investigate whether the calculated predicted value of the estimated glomerular filtration rate from serum creatinine levels (eGFRcreat-PV) from multiple regression equations using the anteroposterior diameter of the renal sinus (APDRS) measured on multidetector row computed tomography (MDCT) axial images and easily obtainable chronic kidney disease (CKD) risk factors (age and body mass index, BMI) is useful for separating CKD stages.

Material and methods: The Review Board approved this study, and the additional approval requirement was waived for this retrospective study. We investigated the association between eGFRcreat and age, BMI, and APDRS using stepwise multivariate regression analysis in 98 patients who underwent MDCT and calculated eGFRcreat-PV from the obtained multiple regression equation. We investigated significant differences in eGFRcreat-PV according to the variation in the CKD stage 3 categories and cutoff value. Additionally, we analyzed the area under the curve (AUC), sensitivity, and specificity of eGFRcreat-PV to differentiate between the patients with greater and less than CKD stage 3.

Results: Age, BMI, and APDRS scores were independent factors influencing eGFRcreat. The difference in eGFRcreat-PV between the groups with greater and less than CKD stage 3 was significant. Additionally, the cutoff value, AUC, sensitivity, and specificity of eGFRcreat-PV used to distinguish between the two groups of greater and less than CKD stage 3 were 61.5, 0.801, 63.9%, and 80.6%, respectively.

Conclusion: The eGFRcreat-PV from the APDRS, measured on MDCT axial images, along with age and BMI, helps differentiate the less and more than CKD stage 3.