Parameters Affecting the Kidney Size in Individuals without Known Renal Pathology: an Ultrasonographic Study

Background:Renal size can be affected by various causal elements such as age, sex, and demographic characteristics. It is crucial for medical professionals to consider these factors when making clinical decisions. The purpose of this investigation was to establish normograms for renal measurements and explore their association with the anthropometric variables in the natives of Northern India. Methods:A total of 105 individuals with presumed healthy kidneys were enrolled in the present study. Kidney length, width and parenchymal thickness were measured, and data were analysed to identify potential differences related to age, gender and side. Correlation analysis was conducted to examine the relationship between kidney measurements and body biometrics, including body height, body weight, body mass index (BMI) and body surface area (BSA). Results:Mean values for kidney length, width and parenchymal thickness in the 209 kidneys analysed were as follows: right kidney - length 10.65 ± 1.34 cm, width 4.5 ± 0.42 cm and parenchymal thickness 0.91 ± 0.16 cm; left kidney - length 10.7 ± 1.69 cm, width 4.78 ± 1.26 cm and parenchymal thickness 0.76 ± 0.40 cm. Thickness showed significant differences between the right and left kidneys. No significant differences in renal parameters were found between males and females. Analysis based on age groups revealed an increase in renal length and thickness with advancing age, while width decreased in the middle age group (31-40 years) and then increased. Weak positive correlations were observed between kidney parameters and body height, body weight, BSA, and BMI. Conclusion:Renal parameters can vary among different populations depending on age, demographic characteristics, and ethnicity. Therefore, relying on commonly cited values for renal sonographic interpretation or clinical decision-making may not be appropriate. Interpreting renal measurements should be based on reference data specific to the studied population.