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Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study
BACKGROUND: Dyslipidaemia is an intermediary exacerbation factor for various diseases but the impact of obstructive sleep apnoea (OSA) on dyslipidaemia remains unclear. METHODS: A total of 3582 subjects with suspected OSA consecutively admitted to our hospital sleep centre were screened and 2983 (24...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819621/ https://www.ncbi.nlm.nih.gov/pubmed/26883674 http://dx.doi.org/10.1136/thoraxjnl-2015-207403 |
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author | Guan, Jian Yi, Hongliang Zou, Jianyin Meng, Lili Tang, Xulan Zhu, Huaming Yu, Dongzhen Zhou, Huiqun Su, Kaiming Yang, Mingpo Chen, Haoyan Shi, Yongyong Wang, Yue Wang, Jian Yin, Shankai |
author_facet | Guan, Jian Yi, Hongliang Zou, Jianyin Meng, Lili Tang, Xulan Zhu, Huaming Yu, Dongzhen Zhou, Huiqun Su, Kaiming Yang, Mingpo Chen, Haoyan Shi, Yongyong Wang, Yue Wang, Jian Yin, Shankai |
author_sort | Guan, Jian |
collection | PubMed |
description | BACKGROUND: Dyslipidaemia is an intermediary exacerbation factor for various diseases but the impact of obstructive sleep apnoea (OSA) on dyslipidaemia remains unclear. METHODS: A total of 3582 subjects with suspected OSA consecutively admitted to our hospital sleep centre were screened and 2983 (2422 with OSA) were included in the Shanghai Sleep Health Study. OSA severity was quantified using the apnoea–hypopnea index (AHI), the oxygen desaturation index and the arousal index. Biochemical indicators and anthropometric data were also collected. The relationship between OSA severity and the risk of dyslipidaemia was evaluated via ordinal logistic regression, restricted cubic spline (RCS) analysis and multivariate linear regressions. RESULTS: The RCS mapped a nonlinear dose–effect relationship between the risk of dyslipidaemia and OSA severity, and yielded knots of the AHI (9.4, 28.2, 54.4 and 80.2). After integrating the clinical definition and RCS-selected knots, all subjects were regrouped into four AHI severity stages. Following segmented multivariate linear modelling of each stage, distinguishable sets of OSA risk factors were quantified: low-density lipoprotein cholesterol (LDL-C), apolipoprotein E and high-density lipoprotein cholesterol (HDL-C); body mass index and/or waist to hip ratio; and HDL-C, LDL-C and triglycerides were specifically associated with stage I, stages II and III, and stages II–IV with different OSA indices. CONCLUSIONS: Our study revealed the multistage and non-monotonic relationships between OSA and dyslipidaemia and quantified the relationships between OSA severity indexes and distinct risk factors for specific OSA severity stages. Our study suggests that a new interpretive and predictive strategy for dynamic assessment of the risk progression over the clinical course of OSA should be adopted. |
format | Online Article Text |
id | pubmed-4819621 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-48196212016-04-19 Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study Guan, Jian Yi, Hongliang Zou, Jianyin Meng, Lili Tang, Xulan Zhu, Huaming Yu, Dongzhen Zhou, Huiqun Su, Kaiming Yang, Mingpo Chen, Haoyan Shi, Yongyong Wang, Yue Wang, Jian Yin, Shankai Thorax Sleep BACKGROUND: Dyslipidaemia is an intermediary exacerbation factor for various diseases but the impact of obstructive sleep apnoea (OSA) on dyslipidaemia remains unclear. METHODS: A total of 3582 subjects with suspected OSA consecutively admitted to our hospital sleep centre were screened and 2983 (2422 with OSA) were included in the Shanghai Sleep Health Study. OSA severity was quantified using the apnoea–hypopnea index (AHI), the oxygen desaturation index and the arousal index. Biochemical indicators and anthropometric data were also collected. The relationship between OSA severity and the risk of dyslipidaemia was evaluated via ordinal logistic regression, restricted cubic spline (RCS) analysis and multivariate linear regressions. RESULTS: The RCS mapped a nonlinear dose–effect relationship between the risk of dyslipidaemia and OSA severity, and yielded knots of the AHI (9.4, 28.2, 54.4 and 80.2). After integrating the clinical definition and RCS-selected knots, all subjects were regrouped into four AHI severity stages. Following segmented multivariate linear modelling of each stage, distinguishable sets of OSA risk factors were quantified: low-density lipoprotein cholesterol (LDL-C), apolipoprotein E and high-density lipoprotein cholesterol (HDL-C); body mass index and/or waist to hip ratio; and HDL-C, LDL-C and triglycerides were specifically associated with stage I, stages II and III, and stages II–IV with different OSA indices. CONCLUSIONS: Our study revealed the multistage and non-monotonic relationships between OSA and dyslipidaemia and quantified the relationships between OSA severity indexes and distinct risk factors for specific OSA severity stages. Our study suggests that a new interpretive and predictive strategy for dynamic assessment of the risk progression over the clinical course of OSA should be adopted. BMJ Publishing Group 2016-04 2016-02-16 /pmc/articles/PMC4819621/ /pubmed/26883674 http://dx.doi.org/10.1136/thoraxjnl-2015-207403 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
spellingShingle | Sleep Guan, Jian Yi, Hongliang Zou, Jianyin Meng, Lili Tang, Xulan Zhu, Huaming Yu, Dongzhen Zhou, Huiqun Su, Kaiming Yang, Mingpo Chen, Haoyan Shi, Yongyong Wang, Yue Wang, Jian Yin, Shankai Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study |
title | Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study |
title_full | Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study |
title_fullStr | Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study |
title_full_unstemmed | Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study |
title_short | Distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study |
title_sort | distinct severity stages of obstructive sleep apnoea are correlated with unique dyslipidaemia: large-scale observational study |
topic | Sleep |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819621/ https://www.ncbi.nlm.nih.gov/pubmed/26883674 http://dx.doi.org/10.1136/thoraxjnl-2015-207403 |
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