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Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania
BACKGROUND: Cardiovascular mortality in Lithuania is extremely high and abnormal lipid levels are very common among Lithuanian adults. Dyslipidemia is one of the main independent risk factors for cardiovascular diseases (CVD) leading to high absolute CVD risk. The aim of this study was to assess CVD...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180581/ https://www.ncbi.nlm.nih.gov/pubmed/30305084 http://dx.doi.org/10.1186/s12944-018-0883-5 |
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author | Kutkiene, Sandra Petrulioniene, Zaneta Laucevicius, Aleksandras Serpytis, Pranas Kasiulevicius, Vytautas Staigyte, Justina Saulyte, Akvile Petrulionyte, Emilija Gargalskaite, Urte Skiauteryte, Egle Matuzeviciene, Gabija Kovaite, Milda Rinkuniene, Egidija |
author_facet | Kutkiene, Sandra Petrulioniene, Zaneta Laucevicius, Aleksandras Serpytis, Pranas Kasiulevicius, Vytautas Staigyte, Justina Saulyte, Akvile Petrulionyte, Emilija Gargalskaite, Urte Skiauteryte, Egle Matuzeviciene, Gabija Kovaite, Milda Rinkuniene, Egidija |
author_sort | Kutkiene, Sandra |
collection | PubMed |
description | BACKGROUND: Cardiovascular mortality in Lithuania is extremely high and abnormal lipid levels are very common among Lithuanian adults. Dyslipidemia is one of the main independent risk factors for cardiovascular diseases (CVD) leading to high absolute CVD risk. The aim of this study was to assess CVD risk in dyslipidemic middle-aged subjects. METHODS: During the period of 2009–2016 a total of 92,373 people (58.4% women and 41.6% men) were evaluated. This study included men aged 40–54 and women aged 50–64 without overt CVD. RESULTS: Any type of dyslipidemia was present in 89.7% of all study population. 7.5% of dyslipidemic patients did not have any other conventional risk factors. Three and more risk factors were detected in 60.1% of dyslipidemic subjects. All analyzed risk factors, except smoking, were more common in dyslipidemic adults compared to subjects without dyslipidemia: arterial hypertension (55.8% vs. 43.3%, p < 0.001), diabetes (11.1% vs. 7.3%, p < 0.001), abdominal obesity (45.3% vs. 30.2%, p < 0.001), BMI ≥30 kg/m(2) (35.8% vs. 23.7%, p < 0.001), metabolic syndrome (34.0% vs. 9.2%, p < 0.001), family history of coronary heart disease (26.3% vs. 23.1%, p < 0.001), unbalanced diet (62.5% vs. 52.9%, p < 0.001) and insufficient physical activity (52.0% vs. 44.2%, p < 0.001). The prevalence of all evaluated risk factors, except smoking, increased with age. Average SCORE index was 1.87 in all study population, while dyslipidemic subjects had higher SCORE compared to control group (1.95 vs 1.20, p < 0.001). CONCLUSIONS: Almost two thirds of dyslipidemic middle-aged Lithuanian adults without overt cardiovascular disease had three or more other CVD risk factors, which synergistically increase absolute risk of CVD. The average 10-year risk of CVD death in patients with dyslipidemia was 1.95%. The importance of managing dyslipidemia as well as other risk factors in order to reduce burden of cardiovascular disease in Lithuania is evident. |
format | Online Article Text |
id | pubmed-6180581 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61805812018-10-18 Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania Kutkiene, Sandra Petrulioniene, Zaneta Laucevicius, Aleksandras Serpytis, Pranas Kasiulevicius, Vytautas Staigyte, Justina Saulyte, Akvile Petrulionyte, Emilija Gargalskaite, Urte Skiauteryte, Egle Matuzeviciene, Gabija Kovaite, Milda Rinkuniene, Egidija Lipids Health Dis Research BACKGROUND: Cardiovascular mortality in Lithuania is extremely high and abnormal lipid levels are very common among Lithuanian adults. Dyslipidemia is one of the main independent risk factors for cardiovascular diseases (CVD) leading to high absolute CVD risk. The aim of this study was to assess CVD risk in dyslipidemic middle-aged subjects. METHODS: During the period of 2009–2016 a total of 92,373 people (58.4% women and 41.6% men) were evaluated. This study included men aged 40–54 and women aged 50–64 without overt CVD. RESULTS: Any type of dyslipidemia was present in 89.7% of all study population. 7.5% of dyslipidemic patients did not have any other conventional risk factors. Three and more risk factors were detected in 60.1% of dyslipidemic subjects. All analyzed risk factors, except smoking, were more common in dyslipidemic adults compared to subjects without dyslipidemia: arterial hypertension (55.8% vs. 43.3%, p < 0.001), diabetes (11.1% vs. 7.3%, p < 0.001), abdominal obesity (45.3% vs. 30.2%, p < 0.001), BMI ≥30 kg/m(2) (35.8% vs. 23.7%, p < 0.001), metabolic syndrome (34.0% vs. 9.2%, p < 0.001), family history of coronary heart disease (26.3% vs. 23.1%, p < 0.001), unbalanced diet (62.5% vs. 52.9%, p < 0.001) and insufficient physical activity (52.0% vs. 44.2%, p < 0.001). The prevalence of all evaluated risk factors, except smoking, increased with age. Average SCORE index was 1.87 in all study population, while dyslipidemic subjects had higher SCORE compared to control group (1.95 vs 1.20, p < 0.001). CONCLUSIONS: Almost two thirds of dyslipidemic middle-aged Lithuanian adults without overt cardiovascular disease had three or more other CVD risk factors, which synergistically increase absolute risk of CVD. The average 10-year risk of CVD death in patients with dyslipidemia was 1.95%. The importance of managing dyslipidemia as well as other risk factors in order to reduce burden of cardiovascular disease in Lithuania is evident. BioMed Central 2018-10-11 /pmc/articles/PMC6180581/ /pubmed/30305084 http://dx.doi.org/10.1186/s12944-018-0883-5 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Kutkiene, Sandra Petrulioniene, Zaneta Laucevicius, Aleksandras Serpytis, Pranas Kasiulevicius, Vytautas Staigyte, Justina Saulyte, Akvile Petrulionyte, Emilija Gargalskaite, Urte Skiauteryte, Egle Matuzeviciene, Gabija Kovaite, Milda Rinkuniene, Egidija Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania |
title | Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania |
title_full | Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania |
title_fullStr | Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania |
title_full_unstemmed | Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania |
title_short | Cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in Lithuania |
title_sort | cardiovascular risk assessment of dyslipidemic middle-aged adults without overt cardiovascular disease over the period of 2009–2016 in lithuania |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6180581/ https://www.ncbi.nlm.nih.gov/pubmed/30305084 http://dx.doi.org/10.1186/s12944-018-0883-5 |
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