Legal and postal addresses of the publisher: office 1336, 17 Naberezhnaya Severnoy Dviny, Arkhangelsk, 163002, Russian Federation, Northern (Arctic) Federal University named after M.V. Lomonosov
Phone: (818-2) 21-61-21 ABOUT JOURNAL
|
Section: Biological sciences Download (pdf, 0.5MB )UDC004.42:616.12DOI10.37482/2687-1491-Z212AuthorsAleksey A. Karyakin* ORCID: https://orcid.org/0000-0002-4458-8702Igor’ S. Chub** ORCID: https://orcid.org/0000-0001-8593-2808 Ol’ga E. Karyakina** ORCID: https://orcid.org/0000-0003-0781-0164 Andrey M. Grjibovski* ORCID: https://orcid.org/0000-0002-5464-0498 Aleksey V. Artemov*** ORCID: https://orcid.org/0009-0000-2905-9549 Ul’yana R. Zakharchenko** ORCID: https://orcid.org/0009-0009-3685-7886 *Northern State Medical University (Arkhangelsk, Russia) **Northern (Arctic) Federal University named after M.V. Lomonosov (Arkhangelsk, Russia) ***Vyzhletsov Arkhangelsk Regional Children’s Clinical Hospital (Arkhangelsk, Russia) Corresponding author: Ol’ga Karyakina, address: nab. Severnoy Dviny 17, Arkhangelsk, 163000, Russia; e-mail: o.travnikova@narfu.ru AbstractObjective interpretation of echocardiography results in the paediatric population is an urgent issue due to the difficulties in identifying the correct cardiovascular allometric relationship. A wide use of existing echocardiographic nomograms in paediatric cardiology is problematic due to the lack of clear data on the subjects’ regional affiliation, the volume of samples analysed, and the insufficient number of Russian studies in this sphere. The purpose of the study was to develop reference intervals for echocardiography parameters of children living in the Arkhangelsk Region and to automate the process of interpretation of the results by creating a digital application. Materials and methods. We analysed 3811 echocardiography protocols of children living in the Arkhangelsk Region aged from 1 to 15 years with no signs of organic pathology of the cardiovascular system or heart rhythm disorders. Results. Using echocardiography data, we developed reference intervals for morphometric parameters of the heart for children aged 1 to 15 years living in the Arkhangelsk Region. The research applied the Z-score approach based on the empirical determination of the degree of abnormalities by the standard deviation from normal values obtained during the examination of a large population of healthy individuals. Reference intervals of echocardiography parameters were determined using body surface area as the dependent variable. The values were automatically calculated in our digital application that allows one to increase the accuracy and efficiency of interpretation of cardiac ultrasound parameters. The results of studying the differences between the reference values in Russian and foreign studies and the obtained regional norms indicate that the hearts of children living in the Arkhangelsk Region are statistically significantly smaller in size. The practical use of the digital application created by us in functional diagnostics will allow doctors to objectivize the measurements of morphometric parameters of the heart and reduce overdiagnosis.For citation: Karyakin A.A., Chub I.S., Karyakina O.E., Grjibovski A.M., Artemov A.V., Zakharchenko U.R. Reference Intervals for Echocardiography Parameters of Children Living in the Arkhangelsk Region and a Digital Application for Their Assessment. Journal of Medical and Biological Research, 2024, vol. 12, no. 4, pp. 443–454. DOI: 10.37482/2687-1491-Z212 Keywordsechocardiography, children of the Arkhangelsk Region, heart development in children, morphometric parameters of the heart in children, medical calculator, interrelation of morphofunctional parameters, reference intervalsReferences1. Kuchma V.R., Sukhareva L.M., Rapoport I.K., Shubochkina E.I., Skoblina N.A., Milushkina O.Yu. Population Health of Children, Risks to Health and Sanitary and Epidemiological Wellbeing of Students: Problems, Ways of Solution and Technology of the Activity. Hyg. Sanitation, 2017, vol. 96, no. 10, pp. 990–995 (in Russ.).2. Glebov V.V. Sostoyanie serdechno-sosudistoy sistemy kak adaptatsionnyy pokazatel’ v protsesse razvitiya cheloveka [Condition of Cardio-Vascular System as an Adaptation Indicator in Development of a Person]. Mir nauki, kul’tury i obrazovaniya, 2014, no. 5, pp. 183–185. 3. Ermakova I.V., Dogadkina S.B., Rubleva L.V., Kmit G.V., Bezobrazova V.N., Sharapov A.N. Adaptation of Cardiovascular System, Autonomous Nervous Regulation of Heart Rate and Endocrine System to Different Types of Loads in 10–15-Year-Old Schoolchildren: Characteristic Features. Sci. Educ. Today, 2019, vol. 9, no. 5, pp. 176–204 (in Russ.). https://doi.org/10.15293/2658-6762.1905.11 4. Lebedenko A.A., Semernik O.E., Tyurina E.B., Semernik Yu.V. Osobennosti morfometricheskogo stroeniya pravykh i levykh otdelov serdtsa u detey s bronkhial’noy astmoy [Morphological and Functional Features of Heart of Children Living in the North and Suffering from Bronchial Asthma]. Aprobatsiya, 2016, no. 3, pp. 103–105. 5. Vasil’ev V.A., Mureysi K.A., Basiy R.V., Vakulenko I.P., Koktyshev I.V. Morfofunktsional’nye osobennosti stroeniya serdtsa u detey grudnogo vozrasta po dannym ul’trazvukovogo issledovaniya [Ultrasound Guided Morphofunctional Characteristics of Heart Structure of Children of the Age from 4 Weeks till 12 Months]. Universitetskaya klinika, 2020, no. 4, pp. 26–30. 6. Li J.K.-J. Cardiovascular Allometry: Analysis, Methodology, and Clinical Applications. Kerkhof P.L.M., Miller V.M. (eds.). Sex-Specific Analysis of Cardiovascular Function. Cham, 2018, pp. 207–224. https://doi.org/10.1007/978-3-319-77932-4_14 7. Sokolov A.A., Soldatenko M.V., Smorgon A.V. Predictive Validity of the Model for Calculating of Echocardiographic Parameters in Healthy Patients. Russ. J. Cardiol., 2018, vol. 23, no. 12, pp. 98–102 (in Russ.). https://doi.org/10.4103/0974-2069.99622 9. Gribanov A.V., Kraynova I.N. Vozrastno-polovaya kharakteristika strukturnykh parametrov serdtsa u shkol’nikov Pripolyarnogo regiona [Age and Sex Dynamics of Heart Structural Parameters in Schoolchildren of the Circumpolar Region]. Sovremennye problemy nauki i obrazovaniya, 2013, no. 6, p. 595. 10. Gribanov A.V., Kraynova I.N. Morfofunktsional’noe sostoyanie levogo zheludochka serdtsa u shkol’nikov Pripolyarnogo regiona [Morphofunctional Parameters of the Heart Left Ventricle in Schoolchildren of the Circumpolar Region]. Vestnik Pomorskogo universiteta. Ser.: Estestvennye nauki, 2011, no. 4, pp. 40–46. 11. Belozerov Yu.M., Bolbikov V.V. Ul’trazvukovaya semiotika i diagnostika v kardiologii detskogo vozrasta [Ultrasound Semiotics and Diagnostics in Paediatric Cardiology]. Moscow, 2001. 176 p. 12. Dallaire F., Slorach C., Hui W., Sarkola T., Friedberg M.K., Bradley T.J., Jaeggi E., Dragulescu A., Har R.L.H., Cherney D.Z.I., Mertens L. Reference Values for Pulse Wave Doppler and Tissue Doppler Imaging in Pediatric Echocardiography. Circ. Cardiovasc. Imaging, 2015, vol. 8, no. 2. Art. no. e002167. https://doi.org/10.1161/circimaging.114.002167 13. Wang S.-S., Hong W.-J., Zhang Y.-Q., Chen S.-B., Huang G.-Y., Zhang H.-Y., Chen L.-J., Wu L.-P., Shen R., Liu Y.-Q., Zhu J.-X. Regression Equations for Calculation of Z Scores for Echocardiographic Measurements of Left Heart Structures in Healthy Han Chinese Children. J. Clin. Ultrasound, 2018, vol. 46, no. 5, pp. 328–333. https://doi.org/10.1002/jcu.22579 14. Cantinotti M., Giordano R., Scalese M., Murzi B., Assanta N., Spadoni I., Maura C., Marco M., Molinaro S., Kutty S., Iervasi G. Nomograms for Two-Dimensional Echocardiography Derived Valvular and Arterial Dimensions in Caucasian Children. J. Cardiol., 2017, vol. 69, no. 1, pp. 208–215. https://doi.org/10.1016/j.jjcc.2016.03.010 15. Karyakin A.A., Karyakina O.E., Chub I.S., Artemov A.V. Z-Score Calculator for the Main Echocardiographic Parameters of Children in the European North of Russia. Registration Certificate RF no. 2023687946, 2023 (in Russ.). 16. Bragin D.S., Pospelova I.V., Sokolov A.A., Serebryakova V.N., Cherepanova I.V., Boshchenko A.A. Mobile Application for the Medical Calculator “Echo Cardio Calculator Mobile”. Registration Certificate RF no. 2020662288, 2020 (in Russ.). 17. Narkevich A.N., Vinogradov K.A., Paraskevopulo K.M., Grjibovski A.M. Intelligent Data Analysis in Biomedical Research: Artificial Neural Networks. Hum. Ecol., 2021, no. 4, pp. 55–64 (in Russ.). https://doi.org/10.33396/1728-0869-2021-4-55-64 |
Make a Submission
INDEXED IN:
|