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Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study

BACKGROUND: The atherogenic index of plasma (AIP) is composed of triglycerides and high-density lipoprotein cholesterol and is a novel marker for assessing the risk of atherogenicity and cardiometabolic health. An association between AIP and greater frequency of major adverse cardiovascular events (...

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Autores principales: Kim, Si Hyoung, Cho, Yun Kyung, Kim, Ye-Jee, Jung, Chang Hee, Lee, Woo Je, Park, Joong-Yeol, Huh, Ji Hye, Kang, Jun Goo, Lee, Seong Jin, Ihm, Sung-Hee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124430/
https://www.ncbi.nlm.nih.gov/pubmed/35599307
http://dx.doi.org/10.1186/s12933-022-01522-8
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author Kim, Si Hyoung
Cho, Yun Kyung
Kim, Ye-Jee
Jung, Chang Hee
Lee, Woo Je
Park, Joong-Yeol
Huh, Ji Hye
Kang, Jun Goo
Lee, Seong Jin
Ihm, Sung-Hee
author_facet Kim, Si Hyoung
Cho, Yun Kyung
Kim, Ye-Jee
Jung, Chang Hee
Lee, Woo Je
Park, Joong-Yeol
Huh, Ji Hye
Kang, Jun Goo
Lee, Seong Jin
Ihm, Sung-Hee
author_sort Kim, Si Hyoung
collection PubMed
description BACKGROUND: The atherogenic index of plasma (AIP) is composed of triglycerides and high-density lipoprotein cholesterol and is a novel marker for assessing the risk of atherogenicity and cardiometabolic health. An association between AIP and greater frequency of major adverse cardiovascular events (MACEs) in patients with type 2 diabetes mellitus and high cardiovascular (CV) disease risk has been reported. However, only few studies have examined the correlation between AIP and CV risk in general populations. We thus aimed to evaluate the relationship between AIP and CV diseases using a large-scale population dataset from the Korean National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS). METHODS: A total of 514,866 participants were enrolled from the NHIS-HEALS and classified according to the AIP quartiles. We performed univariate and multivariate Cox proportional hazards regression analyses to determine the association between AIP and MACEs, CV events, and CV mortality. RESULTS: During follow-up, we documented 12,133, 11,055, and 1942 cases of MACEs, CV events, and CV mortality, respectively. The multivariate-adjusted hazard ratios [HRs; 95% confidence interval (CI)] for MACEs gradually and significantly increased with the AIP quartiles [1.113 (1.054–1.175) in Q2, 1.175 (1.113–1.240) in Q3, and 1.278 (1.209–1.350) in Q4], following an adjustment for the conventional CV risk factors, including age, sex, body mass index, smoking, alcohol drinking, physical activities, household income, fasting glucose, systolic blood pressure, low-density lipoprotein cholesterol, and estimated glomerular filtration rate. In subgroup analyses, the association of AIP with MACEs and CV events was particularly outstanding in patients with diabetes. CONCLUSIONS: AIP was significantly associated with CV risks after adjusting for the traditional risk factors. Therefore, it may be used as an effective mass screening method to identify patients at a high risk of CV events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01522-8.
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spelling pubmed-91244302022-05-23 Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study Kim, Si Hyoung Cho, Yun Kyung Kim, Ye-Jee Jung, Chang Hee Lee, Woo Je Park, Joong-Yeol Huh, Ji Hye Kang, Jun Goo Lee, Seong Jin Ihm, Sung-Hee Cardiovasc Diabetol Research BACKGROUND: The atherogenic index of plasma (AIP) is composed of triglycerides and high-density lipoprotein cholesterol and is a novel marker for assessing the risk of atherogenicity and cardiometabolic health. An association between AIP and greater frequency of major adverse cardiovascular events (MACEs) in patients with type 2 diabetes mellitus and high cardiovascular (CV) disease risk has been reported. However, only few studies have examined the correlation between AIP and CV risk in general populations. We thus aimed to evaluate the relationship between AIP and CV diseases using a large-scale population dataset from the Korean National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS). METHODS: A total of 514,866 participants were enrolled from the NHIS-HEALS and classified according to the AIP quartiles. We performed univariate and multivariate Cox proportional hazards regression analyses to determine the association between AIP and MACEs, CV events, and CV mortality. RESULTS: During follow-up, we documented 12,133, 11,055, and 1942 cases of MACEs, CV events, and CV mortality, respectively. The multivariate-adjusted hazard ratios [HRs; 95% confidence interval (CI)] for MACEs gradually and significantly increased with the AIP quartiles [1.113 (1.054–1.175) in Q2, 1.175 (1.113–1.240) in Q3, and 1.278 (1.209–1.350) in Q4], following an adjustment for the conventional CV risk factors, including age, sex, body mass index, smoking, alcohol drinking, physical activities, household income, fasting glucose, systolic blood pressure, low-density lipoprotein cholesterol, and estimated glomerular filtration rate. In subgroup analyses, the association of AIP with MACEs and CV events was particularly outstanding in patients with diabetes. CONCLUSIONS: AIP was significantly associated with CV risks after adjusting for the traditional risk factors. Therefore, it may be used as an effective mass screening method to identify patients at a high risk of CV events. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01522-8. BioMed Central 2022-05-22 /pmc/articles/PMC9124430/ /pubmed/35599307 http://dx.doi.org/10.1186/s12933-022-01522-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Kim, Si Hyoung
Cho, Yun Kyung
Kim, Ye-Jee
Jung, Chang Hee
Lee, Woo Je
Park, Joong-Yeol
Huh, Ji Hye
Kang, Jun Goo
Lee, Seong Jin
Ihm, Sung-Hee
Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
title Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
title_full Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
title_fullStr Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
title_full_unstemmed Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
title_short Association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
title_sort association of the atherogenic index of plasma with cardiovascular risk beyond the traditional risk factors: a nationwide population-based cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9124430/
https://www.ncbi.nlm.nih.gov/pubmed/35599307
http://dx.doi.org/10.1186/s12933-022-01522-8
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