Modeling of sonographic parameters of the kidneys in practically healthy women of the middle intermediate somatotype depending on the constitutional parameters of the body


  • V.G. Cherkasov Bogomolets National Medical University, Kyiv, Ukraine
  • О.S. Ustymenko Bogomolets National Medical University, Kyiv, Ukraine
  • A.V. Shayuk Zhytomyr Ivan Franko State University, Zhytomyr, Ukraine
  • S.V. Prokopenko National Pirogov Memorial Medical University, Vinnytsya, Ukraine
  • I.V. Gunas National Pirogov Memorial Medical University, Vinnytsya, Ukraine
Keywords: regression analysis, sonographic parameters of the kidneys, indicators of body structure and body sizes, practically healthy women, middle intermediate somatotype

Abstract

The scientific literature presents quite a large number of works, in which the priority role of mathematical modeling in providing high-quality medical care, health and active longevity of a person is determined. The purpose of the work is to construct and analyze the regression models of individual sonographic sizes of kidneys in practically healthy women of the middle intermediate somatotype, depending on the features of the anthropometric and somatotypological indicators. Within the framework of the agreement on scientific cooperation from the database of National Pirogov Memorial Medical University, Vinnytsya primary sonographic parameters (length, width, anterior-posterior dimension, area of longitudinal and cross-section of the kidneys and their sinuses, as well as volume of the right and left kidneys) and anthropometric indices (obtained by the method of V.V. Bunak in the modification of P.P. Shaparenko) of 17 practically healthy women of the first mature age of the middle intermediate somatotype, who in the third generation live in the Podillya region of Ukraine. The construction of regression models of individual sonographic sizes of the kidneys, depending on the features of anthropo-somatotypological parameters of the body of women of the middle intermediate somatotype, was carried out in the licensed package “Statistica 6.1”. In women of the middle intermediate somatotype all 16 possible reliable regression models of sonographic parameters of the kidneys were constructed depending on the anthropo-somatotypological parameters with the determination coefficient R2 from 0.891 to 0.978. The analysis of reliable regression models (with a coefficient of determination greater than 0.6), the sonographic parameters of the kidneys in practically healthy women of the middle intermediate somatotype revealed that most often models of both kidneys, as well as separately of the right and left kidneys, include the circumferential dimensions of the body (respectively, 35.9 – 33.3 – 38.5% of the total number of indicators included in the models). In addition, models of both kidneys most often include cephalometric indices (12.6%), thickness of skin-fat folds and body diameters (by 11.7%); models of the right kidney – body diameters (15.7%), cephalometric indices and width of distal epiphyses of long tubular bones of extremities (by 11.8%); models of the right kidney - the thickness of skin and fat folds (17.3%) and cephalometric indices (13.5%). Attention is drawn to the lack of entry into models of sonographic sizes of kidneys total body sizes.

References

[1] Arooj, A., Lam, J., Wui, Y. J., & Supriyanto, E. (2011). Comparison of Renal Size among Different Ethnicities. International Journal of Biology and Biomedical Engineering, 5(4), 221-229.

[2] Bakker, H., Kooijman, M. N., van der Heijden, A. J., Hofman, A., Franco, O. H., Taal, H. R., & Jaddoe, V. W. (2014). Kidney size and function in a multi-ethnic population-based cohort of school-age children. Pediatr. Nephrol., 29(9), 1589-1598. doi: 10.1007/s00467-014-2793-8

[3] Carter, J. L., & Heath, B. H. (1990). Somatotyping – development and applications. Cambridge University Press.

[4] Cherkasov, V. G., & Ustymenko, О. S. (2017). Modeling using regression analysis of sonographic parameters of kidneys depending on the features of the size of practical healthy women with mesomorphic somatotype. World of Medicine and Biology, 3(61), 73-76. doi: 10.26724/2079-8334-2017-3-61-73-76

[5] Correas, J.-M., Anglicheau, D., Joly, D., Gennisson, J.-L., Tanter, M., & Hélénon, O. (2016). Ultrasound-based imaging methods of the kidney-recent developments. Official J. of Int. Society of Nephrology, 90(6), 1199-1210. doi: 10.1016/j.kint.2016.06.042

[6] Draper, N., & Smith, G. (2016). Applied Regression Analysis. М.: Williams.

[7] El-Reshaid, W., & Abdul-Fattah, H. (2014). Sonographic assessment of renal size in healthy adults. Med. Princ. Pract., 23(5), 432-436. doi: 10.1159/000364876

[8] Gunas І. V., Kovalenko, D. А., Fomina, L. V., Belik, N. V., & Fedonyuk, L. Ya. (2010). Modeling, using regression analysis, sonographic parameters of the kidneys, depending on the anthropometric and somatotypological parameters of men and women of the first mature age. Reports of Morphology, 16(4), 915-920.

[9] Harmse, W. S. (2011). Normal variance in renal size in relation to body habitus. South African Journal of Radiology, 15(4), 123-126. https//doi.org/10.4102/sajr.v15i4.355

[10] Hyun, Y. Y., Lee, K. B., Rhee, E. J., Park, C. Y., Chang, Y., & Ryu, S. (2016). Chronic kidney disease and high eGFR according to body composition phenotype in adults with normal BMI. Nutr. Metab. Cardiovasc., 26(12), 1088-1095. doi: 10.1016/j.numecd.2016.09.003

[11] Jaroszynski, A., Dereziński, T., Jaroszyńska, A., Zapolski, T., Wąsikowska, B., Wysokiński, A., … Horoch, A. (2016). Association of anthropometric measures of obesity and chronic kidney disease in elderly women. Ann. Agric. Environ. Med., 23(4), 636-640. doi: 10.5604/12321966.1226859

[12] Jovanović, D., Gasic, B., Pavlovic, S., & Naumovic, R. (2013). Correlation of kidney size with kidney function and anthropometric parameters in healthy subjects and patients with chronic kidney diseases. Ren. Fail., 35(6), 896-900. doi: 10.3109/0886022X.2013.794683

[13] Kolchanova, N. А., Goncharova, S. S., Lihovshaya, V. А., & Ivanisenko, V. А. (2008). System Computer Biology. Novosibirsk: Publishing SO RAS.

[14] Maaji, S. M., Daniel, O., & Adamu, B. (2015). Sonographic measurement of renal dimensions of adults in North western Nigeria: a preliminary report. Sub-Saharan African journal of medicine, 2(3), 123-127. doi: 10.4103/2384-5147.164420

[15] Matiegka, J. (1921). The testing of physical effeciecy. Amer. J. Phys. Antropol., 2(3), 25-38. https://doi.org/10.1002/ajpa.1330040302

[16] Mitkov, V. V. (2006). A practical guide to ultrasound diagnostics. General ultrasound diagnosis. М.: Vidar.

[17] Niyyar, V. D., & O’Neill W. С. (2018). Point-of-care ultrasound in the practice of nephrology. Kidney Int., 93(5), 1052-1059. doi: 10.1016/j.kint.2017.11.032

[18] Okur, A., Serin, H. I., Zengin, K., Erkoc, M. F., Tanık, S., Yıldırım, U., … Akyol, L. (2014). Relationship between kidney volume and body indexes in the Turkish population determined using ultrasonography. Int. Braz. J. Urol., 40(6), 816-822. doi: 10.1590/S1677-5538.IBJU.2014.06.13

[19] Oparіn, О. А., Lavrova, N. V., Blahoveshchenska, А. V., & Korenovskuy, І. P. (2010). Clinical and ultrasound parallel diagnostics of diseases of internal organs. Tutorial. Recommended by the Ministry of Education and Science of Ukraine. Kharkiv: Fact.

[20] Petrov, V. I., & Nedogoda, S. V. (2009). Evidence-based medicine: study guide. М.: “GOETAR-MED”.

[21] Quaia, E., Nocentini, A., & Torelli, L. (2009). Assessment of a new mathematical model for the computation of numerical parameters related to renal cortical blood flow and fractional blood volume by contrast-enhanced ultrasound. Ultrasound Med. Biol., 35(4), 616-627. doi: 10.1016/j.ultrasmedbio.2008.10.003

[22] Raza, M., Hameed, A., & Khan, M. I. (2011). Ultrasonographic assessment of renal size and its correlation with body mass index in adults without known renal disease. J. Ayub. Med. Coll. Abbottabad., 23(3), 64-68.

[23] Saeed, Z., Mirza, W, Sayani, R., Sheikh, A., Yazdani, I., & Hussain, S. A. (2012). Sonographic Measurement of Renal Dimensions in Adults and its Correlates. International Journal of Collaborative Research on Internal Medicine & Public Health, 4(9), 1626-1641.

[24] Salsberg, E., Quigley, L., Masselink, L., Wu, X., & Collins, A. (2015). The US Nephrology Workforce 2015: Developments and Trends. Washington, American Society of Nephrology.

[25] Shaparenko, P. P. (2000). Anthropometry. Vinnytsya: [w. p.].

[26] Shephard, R. J. (1991). Body composition in biological anthropology. Cambridge.

[27] Ustymenko, О. S. (2018). Regression models of sonographic parameters of the kidneys in practically healthy women of the ectomorphic somatotype depending on the peculiarities of body size. Biomedical and Biosocial Anthropology, 31, 53-58. doi: 10.31393/bba31-2018-07

[28] Ustymenko, О. S. (2018). Sonographic model parameters of kidney in men and women endo-mesomorphic somatotype depending on the anthropometric indices characteristics. Biomedical and Biosocial Anthropology, 30, 43-49. doi: 10.31393/bba30-2018-06

[29] Vorоpaeva, O. F., & Shokin, Yu. I. (2012). Numerical simulation in medicine: Some problem statements and calculation results. Computational Technologies, 17(4), 29-55.
Published
2018-09-27
How to Cite
Cherkasov, V., UstymenkoО., Shayuk, A., Prokopenko, S., & Gunas, I. (2018). Modeling of sonographic parameters of the kidneys in practically healthy women of the middle intermediate somatotype depending on the constitutional parameters of the body. Reports of Morphology, 24(3), 5-10. https://doi.org/https://doi.org/10.31393/morphology-journal-2018-24(3)-01

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