Unveiling the Renal Symphony: Exploring the Relationship Between Ultrasonographic Parameters and eGFR in Chronic Kidney Disease Patients
DOI:
https://doi.org/10.21649/akemu.v31i1.5715Keywords:
Chronic kidney disease, ultrasonography, cortical thicknessAbstract
Background: Correlation of renal dimensions with renal function in healthy subjects has been firmly established, but which renal dimension correlates best with renal function in chronic kidney disease (CKD) is still debatable. Traditionally, bipolar length of the kidney has been considered a renal function indicator. However, it changes with the size of the body.
Objectives: To determine the correlation between renal ultrasound parameters and eGFR for renal evaluation in patients with CKD.
Methods: This cross-sectional study was undertaken in Pakistan Kidney and Liver Institute Lahore, Radiology department from 5th August 2023 to 4th February 2024. A total of 60 patients of 18-70 years of age with the clinical diagnosis of CKD as mentioned by National Kidney Foundation guidelines (Kidney damage >3 months or decreased GFR (less than 60 mL/min/1.73 m2) for 3 months or more) were included. Patients having a history of renal malignancy or renal surgery, polycystic kidney disease, nephrolithiasis or hydronephrosis or fatty liver disease, on renal replacement therapy, and severe pulmonary, liver, or heart disease were excluded. The ultrasound renal indices like cortical and parenchymal thickness were measured for both kidneys and their respective mean was recorded and analysed.
Results: The correlation between eGFR and renal cortical thickness was moderately significant as evidenced by a p-value of 0.003 and r value of 0.372 (Table III). There was significant moderate correlation with eGFR and renal parenchymal thickness as well (p-value = 0.007, r = 0.346)
Conclusion: The renal parenchymal and cortical thickness correlate positively with eGFR in CKD patients.
References
1. Mansoor A, Ramzan A, Chaudhary AN. Determination of best grey-scale ultrasonography parameter for assessment of renal function in chronic kidney disease. Ann Pak Inst Med Sci. 2016;12(4):191-4.
2. Xie Z, Peng S, Ou G, Zhou X, Zhang G, Jiang H, et al. U-shaped association between dietary niacin intake and chronic kidney disease among US elderly: a nationwide cross-sectional study. Front Endocrinol (Lausanne). 2024 ;15(1):1438373. doi: 10.3389/fendo.2024.1438373. PMID: 39497801; PMCID: PMC11532146.
3. Vaidya S, Aedulla N. Chronic kidney disease [Internet]. Nih gov. StatPearls Publishing; 2024. [ Cited 2 jan 2025]. http://www.ncbi.nlm.nih.gov/books/NBK535404/
4. Ahmed S, Jafri L, Khan AH. Evaluation of'CKD-EPI Pakistan'equation for estimated glomerular filtration rate (eGFR): a comparison of eGFR prediction equations in Pakistani population. J Coll Physicians Surg Pak. 2017;27(7):414-18.
5. Bosede O, Adeyekun AA, Irabor P, Okokhere P, Izevbekhai S. Correlation of ultrasonographic findings of the kidneys to serum creatinine levels in Lassa fever patients in a tertiary health facility in Sub-Saharan Africa. J Infect Dis Epidemiol. 2024;10(1):322. doi:10.23937/2474-3658/1510322.
6. Koukoutegos K, Heeren R, Wever L, De Keyzer F, Maes F, Bosmans H. Segmentation-based quantitative measurements in renal CT imaging using deep learning. Eur Radiol Exp. 2024;8(1):110. doi:10.1186/s41747-024-00507-4.
7. Assenyi S, Adekanmi AJ. Ultrasonographic Renal Dimensions Amongst Adult Nigerian Diabetics: Correlation with Clinical, Anthropometric and Metabolic Risk Factors. Afr J Biomed Res. 2020 ;23(1):85-91. PMID: 35783238; PMCID: PMC9248893.
8. Andrulli S, Gigante A, Rossini M, D'Angio' P, Vischini G, Luchetta F, et al.; ITA-KID-BIOPSY Group. How histopathological diagnosis interacts with kidney ultrasound parameters and glomerular filtration rate. Intern Emerg Med. 2024;19(8):2121-32. doi: 10.1007/s11739-024-03711-7. Epub 2024 Sep 13. PMID: 39269540; PMCID: PMC11582157.
9. Harmindasatya C, Violetta L, Setiawati R. Correlation analysis of ultrasonography kidney morphological profiles and the classification of persistent and transient acute kidney injury (AKI) in children during the pandemic period at the Dr. Soetomo General Teaching Hospital. Int J Res Publ. 2024;145(1):23-33. doi:10.47119/IJRP1001451320246182.
10. Moses AA, Fernandez HE. Ultrasonography in acute kidney injury. POCUS J. 2022;7(1):35-44. doi:10.24908/pocus.v7iKidney.14989. PMID: 36896100; PMCID: PMC9994307.
11. Kheirandish M, Eftekhar E, Azarbad A, Salarpour E, Shahmoradi M, Ghazizadeh S, et al. Prevalence of Chronic Kidney Disease and Associated Factors among the Diabetic and Prediabetic Population in the Bandare-Kong Cohort Study; A Population-Based Study. Arch Iran Med. 2024;27(9):470-8. doi: 10.34172/aim.31194. Epub 2024 Sep 1. PMID: 39465521; PMCID: PMC11496602.
12. Chen Z, Jiang J, Gunda S, Han X, Wu C, Ying M et al. Ultrasonic renal length as an indicator of renal fibrosis severity in non-diabetic patients with chronic kidney disease. Clin Exp Nephrol. 2024; 19(1):1-9.https://doi.org/10.1007/s10157-024-02598-0.
13. Ham Y, Lee E, Kim H, Jeon J, Na K, Lee K et al. Ultrasound renal score to predict the renal disease prognosis in patients with diabetic kidney disease: an investigative study. Diagnostics (Basel). 2023;13(3):515. doi:10.3390/diagnostics13030515. PMID: 36766619; PMCID: PMC9913982.
14. Gargiulo S, Barone V, Bonente D, Tamborrino T, Inzalaco G, Gherardini L, et al. Integrated ultrasound characterization of the diet-induced obesity (DIO) model in young adult C57BL/6J mice: assessment of cardiovascular, renal and hepatic changes. J Imaging. 2024;10(1):217. doi:10.3390/jimaging10090217.
15. Phakdeekitcharoen B, Treesinchai W, Wibulpolprasert P, Boongird S, Klytrayong P. The correlation between kidney volume and measured glomerular filtration rate in an Asian ADPKD population: a prospective cohort study. BMC Nephrol. 2021;22(1):178. doi: 10.1186/s12882-021-02392-0. PMID: 33992075; PMCID: PMC8126117.
16. Thanaj M, Basty N, Cule M, Sorokin EP, Whitcher B, Srinivasan R et al. Kidney shape statistical analysis: associations with disease and anthropometric factors. BMC Nephrol. 2023;24(1):362. doi:10.1186/s12882-023-03407-8. PMID: 38057740; PMCID: PMC10698953.
17. Chhetri P, Basnet S. Ultrasonography in patients with chronic kidney disease. J Chitwan Med Coll. 2021;11(1):110-14. doi:10.54530/jcmc.342.
18. Garg A, Jhobta A, Kapila S, Rathour D. Correlation of sonographic parameters with renal function in patients with newly diagnosed chronic kidney disease. J Ultrasonogr. 2022;22(1):216-21. doi:10.15557/JoU.2022.0036.
19. Cho J, Koh J, Kim S, Lee S, Kim Y, Cho S et al. Associations of MRI-derived kidney volume, kidney function, body composition, and physical performance in ≈38,000 UK Biobank participants: a population-based observational study. Clin Kidney J. 2024 ;17(4):068. doi:10.1093/ckj/sfae068. PMID: 38660121; PMCID: PMC11040514.
20. Mayeden R, Klenam D, Mensah Y, Ohene-Botwe B, Acheampong F, Dadson E et al. Renal cortical thickness and bipolar renal length and their correlation with estimated glomerular filtration rate of chronic kidney disease patients: a study at a teaching hospital in Ghana.Chin J Acad Radiol.2024;7(1):253-63. 10.1007/s42058-024-00165-w.
21. Gupta P, Chatterjee S, Debnath J, Nayan N, Gupta SD. Ultrasonographic predictors in chronic kidney disease: a hospital-based case-control study. J Clin Ultrasound. 2021;49(7):715-9. doi:10.1002/jcu.23026. Epub 2021 Jun 4. PMID: 34085292.
22. Kodikara I, Gamage DTK, Nanayakkara G, Ilayperuma I. Diagnostic performance of renal ultrasonography in detecting chronic kidney disease of various severity. Asian Biomed (Res Rev News). 2020 ;14(5):195-202. doi: 10.1515/abm-2020-0028. PMID: 37551269; PMCID: PMC10373390.
23. Chawla R, Zala S, Punyani H, Dhingra J. Correlation between cortical renal thickness and estimated glomerular filtration rate in diabetic nephropathy patients. J Diabetol. 2020;11(1):158-62.
24. Uduagbamen PK, Odunlami OA, Yusuf AO, Thompson MJ, Ojo NK, Ajiboye OF, et al. Clinical utility of kidney cortical thickness in assessing severity of CKD in low-income settings. West Afr J Med. 2021;38(12):1224-30
25. Kharel A, Shrestha S, Karki DB. Correlation of ultrasonographic findings with estimated glomerular filtration rate in chronic kidney disease. JNHLS. 2024;3(2):102-8. doi: https://doi.org/10.3126/jnhls.v3i2.71312.
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