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.
| Autor: | Inokuchi Y; Department of Radiology, Edogawa Hospital, Tokyo, JPN., Takashina T; Department of Radiology, Edogawa Hospital, Tokyo, JPN., Hayashi Y; Department of Radiology, Edogawa Hospital, Tokyo, JPN., Sakihara J; Department of Radiology, Edogawa Hospital, Tokyo, JPN., Uematsu M; Department of Radiology and Radiation Oncology, Edogawa Hospital, Tokyo, JPN., Kurosaki H; Department of Radiology and Radiation Oncology, Edogawa Hospital, Tokyo, JPN. |
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| Jazyk: | angličtina |
| Zdroj: | Cureus [Cureus] 2024 Nov 05; Vol. 16 (11), pp. e73085. Date of Electronic Publication: 2024 Nov 05 (Print Publication: 2024). |
| DOI: | 10.7759/cureus.73085 |
| Abstrakt: | 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. Competing Interests: Human subjects: Consent for treatment and open access publication was obtained or waived by all participants in this study. Edogawa Hospital Ethics Committee issued approval 2024092734. The Review Board approved this study, and the requirement for informed consent was waived for this retrospective study. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work. (Copyright © 2024, Inokuchi et al.) |
| Databáze: | MEDLINE |
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