Diagnostic features and management algorithm for children with dyslipidemia

Introduction. Lipid metabolism disorders play a key role in the development of cardiovascular diseases (CVD). Hyperlipidemia, which occurred in childhood, continues to progress over adulthood, contributing to the development of atherosclerosis. The lack of screening for the lipid profile, clinical manifestations and low alertness of pediatricians, lead to late detection of this pathology and minimize the possibility of using a set of preventive measures. The aim of the review is to determine the features of the diagnosis of lipid metabolism disorders for the development of an algorithm for managing children with dyslipidemia. The material for the analysis was scientific reports selected in the MedLine, Google Scholar, and PubMed databases from 1980 to 2025. An effective way to diagnose dyslipidemia is screening, which should be performed at the age of 9–11 years and 17–21 years. Dyslipidemia is diagnosed when changes in two lipid profiles are detected. It is necessary to exclude primary hypercholesterolemia, which has an unfavourable course. Risk factors for atherosclerosis and early vascular diseases are analyzed to determine management tactics. The main method of correcting lipid metabolism disorders in children is lifestyle modification. In the absence of an effect, statins are indicated, which are the drug of choice in all developed countries. The efficacy and safety of long-term use of statins in children has been demonstrated. Early diagnosis and timely initiation of treatment of hyperlipidemia in children play a significant role in reducing the risk of atherosclerotic diseases over the old age.

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Publication Details

Journal
Russian Pediatric Journal
Published
2025-04-29
DOI
https://doi.org/10.46563/1560-9561-2025-28-2-141-147
Citations
1
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
2.01
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article

Diagnostic features and management algorithm for children with dyslipidemia

I. V. Zyabkin, В А Мухортых, Aleksandra V. Krutova, Svetlana A. Stolyarova et al.
1 citations
Russian Pediatric Journal
Lipoproteins and Cardiovascular Health
2.01
article

Diagnostic features and management algorithm for children with dyslipidemia

I. V. Zyabkin, В А Мухортых, Aleksandra V. Krutova, Svetlana A. Stolyarova, Anton S. Miroshnichenko
article en
1 citations

Abstract

Introduction. Lipid metabolism disorders play a key role in the development of cardiovascular diseases (CVD). Hyperlipidemia, which occurred in childhood, continues to progress over adulthood, contributing to the development of atherosclerosis. The lack of screening for the lipid profile, clinical manifestations and low alertness of pediatricians, lead to late detection of this pathology and minimize the possibility of using a set of preventive measures. The aim of the review is to determine the features of the diagnosis of lipid metabolism disorders for the development of an algorithm for managing children with dyslipidemia. The material for the analysis was scientific reports selected in the MedLine, Google Scholar, and PubMed databases from 1980 to 2025. An effective way to diagnose dyslipidemia is screening, which should be performed at the age of 9–11 years and 17–21 years. Dyslipidemia is diagnosed when changes in two lipid profiles are detected. It is necessary to exclude primary hypercholesterolemia, which has an unfavourable course. Risk factors for atherosclerosis and early vascular diseases are analyzed to determine management tactics. The main method of correcting lipid metabolism disorders in children is lifestyle modification. In the absence of an effect, statins are indicated, which are the drug of choice in all developed countries. The efficacy and safety of long-term use of statins in children has been demonstrated. Early diagnosis and timely initiation of treatment of hyperlipidemia in children play a significant role in reducing the risk of atherosclerotic diseases over the old age.

Russian Pediatric JournalVol. 28(2)
Pirogov Russian National Research Medical University (RU), State Scientific Center of the Russian Federation - Federal Medical Biophysical Center named after A.I. Burnazyan (RU)
Openalex Percentile: Top 16%
Lipoproteins and Cardiovascular Health
2.01
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