A modern methodology for examining individuals with dyslipoproteinemia

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Background: The nutritional status (NS) of individuals with hyperlipoproteinemia (HLP), including parameters of body composition, energy metabolism, and macronutrient metabolism, has not been fully studied.

Objective: Determination of NS characteristics in individuals with different types of atherogenic HLP and development of an algorithm for the early diagnosis of lipid metabolism disorders and the development and progression of atherosclerosis.

Materials and methods: A NS study was conducted in 956 patients with cardiovascular diseases, divided into groups based on the type of hyperlipidemia. This study included anthropometric examination, examination of body composition, macronutrient/energy metabolism parameters, and NS biomarkers, as well as determination of the actual dietary patterns at home.

Results: Individuals with different types of atherogenic hyperlipidemia exhibit differences in their clinical status and NS, as well as the risk of developing complications. Therefore, accurate diagnosis of existing disorders and, accordingly, their timely correction are required.

Conclusion: A methodology for a step-by-step examination of individuals with dyslipoproteinemia at different stages of medical care in healthcare facilities in the Russian Federation has been developed and tested.

About the authors

S. A. Derbeneva

Federal Research Center for Nutrition and Biotechnology

Email: 89151479832@mail.ru
ORCID iD: 0000-0003-1876-1230

Dr. Sci. (Med.)

Russian Federation, Moscow

S. V. Shmeleva

K.G. Razumovsky Moscow State University of Technology and Management (First Cossack University)

Author for correspondence.
Email: 89151479832@mail.ru
ORCID iD: 0000-0003-0390-194X

Dr. Sci. (Med.), Professor

Russian Federation, Moscow

N. V. Belyakova

K.G. Razumovsky Moscow State University of Technology and Management (First Cossack University)

Email: 89151479832@mail.ru
ORCID iD: 0000-0001-7116-9389
Russian Federation, Moscow

E. V. Aralova

K.G. Razumovsky Moscow State University of Technology and Management (First Cossack University)

Email: 89151479832@mail.ru
ORCID iD: 0000-0001-7835-8756
Russian Federation, Moscow

References

  1. Fox K.A.A., Metra M., Morais J., et al. The myth of ‘stable’ coronary artery disease. Nat Rev Cardiol. 2020;17(1):9–21. https://dx.doi.org/10.1038/s41569-019-0233-y
  2. Li J.T., Kim S-Ah., Shin S. Association between Three Low-Carbohydrate Diet Scores and Lipid Metabolism among Chinese Adults. Nutrients. 2020;12:1307. https://dx.doi.org/10.3390/nu12051307
  3. Шмелева С.В. Метаболические изменения у женщин в климактерическом периоде. Физическая реабилитация детей, взрослых и инвалидов. 2005;1–2:7–11. [Shmeleva S.V. Metabolic changes in women in the menopausal period. Physical Rehabilitat Children Adults Disabl. 2005;1–2:7–11. (In Russ.)].
  4. Шмелева С.В., Манухин И.Б., Тактаров В.Г. Постменопауза и ее осложнения. Вопросы гинекологии, акушерства и перинатологии. 2008;7(6):96–8. [Shmeleva S.V., Manukhin I.B., Taktarov V.G. Postmenopause and its complications. Iss Gynecol Obstet Perinatol. 2008;7(6):96–8. (In Russ.)].
  5. Libby P., Buring J.E., Badimon L., et al. Atherosclerosis. Nat Rev Dis Primers. 2019;16(5):56. https://dx.doi.org/10.1038/s41572-019-0106-z
  6. Pulipati V.P., Davidson M.H. Recent advances and emerging therapies in management of dyslipidemias. Trendsin. Cardiovascular. Medicine. 2021;31(7):419–24. https://dx.doi.org/10.1016/j.tcm.2020.08.007
  7. World Health Organization. [Электронный ресурс]. Non communicable Diseases: Risk Factors. The Global Health Observatory. 2021. Available online: https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/ncd-risk-factors (accessed on 21 February 2023).
  8. Global Health Data Exchange. GBD Results Tool. Institute for Health Metrics and Evaluation. 2021. Available online: http://ghdx.healthdata.org/gbd-results-tool (accessed on 21 February 2023).
  9. Ference B.A., Ginsberg H.N., Graham I., et al. Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel. Eur Heart J. 2017;38:2459–72. https://dx.doi.org/10.1093/eurheartj/ehx144
  10. Newby P.K., Muller D., Tucker K.L. Associations of empirically derived eating patterns with plasma lipid biomarkers: a comparison of factor and cluster analysis methods. Am J Clin Nutrit. 2004;80(3):759–67.
  11. Hu F.B. Dietary pattern analysis: a new direction in nutritional epidemiology. Curr Opin Lipidol. 2002;13(1):3–9.

Supplementary files

Supplementary Files
Action
1. JATS XML

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).