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Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study
BACKGROUND AND AIMS: The role of serum lipoprotein(a) [Lp(a)] levels in atrial fibrillation (AF) is still uncertain, especially in the Chinese population. Here, we aimed to elucidate the potential relationship between Lp(a) quantiles and AF. METHODS: All data were collected through inpatients with e...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661736/ https://www.ncbi.nlm.nih.gov/pubmed/36376975 http://dx.doi.org/10.1186/s12944-022-01728-5 |
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author | Tao, Junjie Yang, Xinlei Qiu, Qingkai Gao, Feng Chen, Wenchong Hu, Lijuan Xu, Yuan Yi, Yingping Hu, Hui Jiang, Long |
author_facet | Tao, Junjie Yang, Xinlei Qiu, Qingkai Gao, Feng Chen, Wenchong Hu, Lijuan Xu, Yuan Yi, Yingping Hu, Hui Jiang, Long |
author_sort | Tao, Junjie |
collection | PubMed |
description | BACKGROUND AND AIMS: The role of serum lipoprotein(a) [Lp(a)] levels in atrial fibrillation (AF) is still uncertain, especially in the Chinese population. Here, we aimed to elucidate the potential relationship between Lp(a) quantiles and AF. METHODS: All data were collected through inpatients with electronic health records from the Second Affiliated Hospital of Nanchang University, Jiangxi Province, China. The propensity score matching (PSM) method was used to match control and case groups. Interactions between AF, Lp(a) quantiles, and other clinical indices were analyzed by logistic regression and stratified analysis. Statistical analyses were performed with IBM SPSS statistical software and R software. RESULTS: From 2017 to 2021, 4,511 patients with AF and 9,022 patients without AF were 1:2 matched by the propensity score matching method. A total of 46.9% of the study group was women, and the baseline mean age was 65 years. The AF group exhibited lower median Lp(a) than the non-AF group (15.95 vs. 16.90 mg/dL; P < 0.001). Based on the Lp(a) quantiles, the study population was divided into four groups: Q1 (≤ 8.71 mg/dL), Q2 (8.71–16.54 mg/dL), Q3 (16.54–32.42 mg/dL) and Q4 (> 32.42 mg/dL). The AF prevalence of each group decreased from 34.2% (Q1) to 30.9% (Q4) (P < 0.001). Lp(a) quantiles 1–3 significantly increased AF to 1.162-fold (1.049–1.286), 1.198-fold (1.083–1.327), and 1.111-fold (1.003–1.231) in the unadjusted logistic regression model, respectively. In the adjusted model, Lp(a) < 32.42 mg/dL still showed a significant inverse association with AF. In the stratified analysis, Lp(a) levels in female patients exhibited a significant negative correlation with AF (OR of Q1: 1.394[1.194–1.626], P = 0.001). Age and hypertension did not affect the adverse correlation. CONCLUSION: Low circulating Lp(a) levels were associated with AF, especially in the female Han population, suggesting that Lp(a) may be useful for risk stratification of AF in female individuals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-022-01728-5. |
format | Online Article Text |
id | pubmed-9661736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96617362022-11-15 Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study Tao, Junjie Yang, Xinlei Qiu, Qingkai Gao, Feng Chen, Wenchong Hu, Lijuan Xu, Yuan Yi, Yingping Hu, Hui Jiang, Long Lipids Health Dis Research BACKGROUND AND AIMS: The role of serum lipoprotein(a) [Lp(a)] levels in atrial fibrillation (AF) is still uncertain, especially in the Chinese population. Here, we aimed to elucidate the potential relationship between Lp(a) quantiles and AF. METHODS: All data were collected through inpatients with electronic health records from the Second Affiliated Hospital of Nanchang University, Jiangxi Province, China. The propensity score matching (PSM) method was used to match control and case groups. Interactions between AF, Lp(a) quantiles, and other clinical indices were analyzed by logistic regression and stratified analysis. Statistical analyses were performed with IBM SPSS statistical software and R software. RESULTS: From 2017 to 2021, 4,511 patients with AF and 9,022 patients without AF were 1:2 matched by the propensity score matching method. A total of 46.9% of the study group was women, and the baseline mean age was 65 years. The AF group exhibited lower median Lp(a) than the non-AF group (15.95 vs. 16.90 mg/dL; P < 0.001). Based on the Lp(a) quantiles, the study population was divided into four groups: Q1 (≤ 8.71 mg/dL), Q2 (8.71–16.54 mg/dL), Q3 (16.54–32.42 mg/dL) and Q4 (> 32.42 mg/dL). The AF prevalence of each group decreased from 34.2% (Q1) to 30.9% (Q4) (P < 0.001). Lp(a) quantiles 1–3 significantly increased AF to 1.162-fold (1.049–1.286), 1.198-fold (1.083–1.327), and 1.111-fold (1.003–1.231) in the unadjusted logistic regression model, respectively. In the adjusted model, Lp(a) < 32.42 mg/dL still showed a significant inverse association with AF. In the stratified analysis, Lp(a) levels in female patients exhibited a significant negative correlation with AF (OR of Q1: 1.394[1.194–1.626], P = 0.001). Age and hypertension did not affect the adverse correlation. CONCLUSION: Low circulating Lp(a) levels were associated with AF, especially in the female Han population, suggesting that Lp(a) may be useful for risk stratification of AF in female individuals. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12944-022-01728-5. BioMed Central 2022-11-14 /pmc/articles/PMC9661736/ /pubmed/36376975 http://dx.doi.org/10.1186/s12944-022-01728-5 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 Tao, Junjie Yang, Xinlei Qiu, Qingkai Gao, Feng Chen, Wenchong Hu, Lijuan Xu, Yuan Yi, Yingping Hu, Hui Jiang, Long Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study |
title | Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study |
title_full | Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study |
title_fullStr | Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study |
title_full_unstemmed | Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study |
title_short | Low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study |
title_sort | low lipoprotein(a) concentration is associated with atrial fibrillation: a large retrospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9661736/ https://www.ncbi.nlm.nih.gov/pubmed/36376975 http://dx.doi.org/10.1186/s12944-022-01728-5 |
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