Cargando…

Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study

This study aimed to evaluate the associations between variability of lipid parameters and the risk of kidney disease in patients with type 2 diabetes mellitus. Low-density lipoprotein-cholesterol, total cholesterol to high-density lipoprotein-cholesterol ratio and triglyceride were specifically addr...

Descripción completa

Detalles Bibliográficos
Autores principales: Wan, Eric Yuk Fai, Yu, Esther Yee Tak, Chin, Weng Yee, Lau, Christie Sze Ting, Mok, Anna Hoi Ying, Wang, Yuan, Wong, Ian Chi Kei, Chan, Esther Wai Yin, Lam, Cindy Lo Kuen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044222/
https://www.ncbi.nlm.nih.gov/pubmed/33850209
http://dx.doi.org/10.1038/s41598-021-87067-4
_version_ 1783678441899425792
author Wan, Eric Yuk Fai
Yu, Esther Yee Tak
Chin, Weng Yee
Lau, Christie Sze Ting
Mok, Anna Hoi Ying
Wang, Yuan
Wong, Ian Chi Kei
Chan, Esther Wai Yin
Lam, Cindy Lo Kuen
author_facet Wan, Eric Yuk Fai
Yu, Esther Yee Tak
Chin, Weng Yee
Lau, Christie Sze Ting
Mok, Anna Hoi Ying
Wang, Yuan
Wong, Ian Chi Kei
Chan, Esther Wai Yin
Lam, Cindy Lo Kuen
author_sort Wan, Eric Yuk Fai
collection PubMed
description This study aimed to evaluate the associations between variability of lipid parameters and the risk of kidney disease in patients with type 2 diabetes mellitus. Low-density lipoprotein-cholesterol, total cholesterol to high-density lipoprotein-cholesterol ratio and triglyceride were specifically addressed in this study. This retrospective cohort study included 105,552 patients aged 45–84 with type 2 diabetes mellitus and normal kidney function who were managed under Hong Kong public primary care clinics during 2008–2012. Those with kidney disease (estimated glomerular filtration rate < 60 mL/min/1.73 m(2) or urine albumin to creatinine ratio ≥ 3 mg/mmol) were excluded. Variabilities of low-density lipoprotein-cholesterol, total cholesterol to high-density lipoprotein-cholesterol ratio and triglyceride were determined using the standard deviation of the respective parameter obtained from a mixed effects model to minimize regression dilution bias. The associations between lipid variability and renal outcomes including incident kidney disease, renal function decline defined as ≥ 30% reduction in estimated glomerular filtration rate since baseline, and end-stage renal disease (estimated glomerular filtration rate < 15 mL/min/1.73 m(2)) were evaluated by multivariable Cox regression. After a median follow-up of 66.5 months (0.5 million person-years in total), 49,653 kidney disease, 29,358 renal function decline, and 1765 end-stage renal disease cases were recorded. Positive linear associations between low-density lipoprotein-cholesterol and total cholesterol to high-density lipoprotein-cholesterol ratio variabilities and the risk of all renal outcomes were demonstrated. However, no association between triglyceride variability and any outcome was found. Each mmol/L increase in low-density lipoprotein-cholesterol variability was associated with 20% (Hazard ratio 1.20 [95% CI 1.15–1.25]), 38% (Hazard ratio 1.37 [95% CI 1.30–1.45]), and 108% (Hazard ratio 2.08 [95% CI 1.74–2.50]) higher risk in incident kidney disease, renal function decline and end-stage renal disease respectively. Similarly, each unit increase in total cholesterol to high-density lipoprotein-cholesterol ratio variability was associated with 35% (Hazard ratio 1.15 [95% CI 1.10–1.20]), 33% (Hazard ratio 1.33 [95% CI 1.26–1.40]), and 75% (Hazard ratio 1.75 [95% CI 1.46–2.09]) heightened risk in incident kidney disease, renal function decline and end-stage renal disease respectively. Cholesterol variability may potentially be a useful predictor of kidney diseases in patients with type 2 diabetes mellitus. Attention should be drawn to cholesterol variability when managing diabetic patients and further research is warranted to investigate the modifiable risk factors for lipid variability.
format Online
Article
Text
id pubmed-8044222
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-80442222021-04-14 Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study Wan, Eric Yuk Fai Yu, Esther Yee Tak Chin, Weng Yee Lau, Christie Sze Ting Mok, Anna Hoi Ying Wang, Yuan Wong, Ian Chi Kei Chan, Esther Wai Yin Lam, Cindy Lo Kuen Sci Rep Article This study aimed to evaluate the associations between variability of lipid parameters and the risk of kidney disease in patients with type 2 diabetes mellitus. Low-density lipoprotein-cholesterol, total cholesterol to high-density lipoprotein-cholesterol ratio and triglyceride were specifically addressed in this study. This retrospective cohort study included 105,552 patients aged 45–84 with type 2 diabetes mellitus and normal kidney function who were managed under Hong Kong public primary care clinics during 2008–2012. Those with kidney disease (estimated glomerular filtration rate < 60 mL/min/1.73 m(2) or urine albumin to creatinine ratio ≥ 3 mg/mmol) were excluded. Variabilities of low-density lipoprotein-cholesterol, total cholesterol to high-density lipoprotein-cholesterol ratio and triglyceride were determined using the standard deviation of the respective parameter obtained from a mixed effects model to minimize regression dilution bias. The associations between lipid variability and renal outcomes including incident kidney disease, renal function decline defined as ≥ 30% reduction in estimated glomerular filtration rate since baseline, and end-stage renal disease (estimated glomerular filtration rate < 15 mL/min/1.73 m(2)) were evaluated by multivariable Cox regression. After a median follow-up of 66.5 months (0.5 million person-years in total), 49,653 kidney disease, 29,358 renal function decline, and 1765 end-stage renal disease cases were recorded. Positive linear associations between low-density lipoprotein-cholesterol and total cholesterol to high-density lipoprotein-cholesterol ratio variabilities and the risk of all renal outcomes were demonstrated. However, no association between triglyceride variability and any outcome was found. Each mmol/L increase in low-density lipoprotein-cholesterol variability was associated with 20% (Hazard ratio 1.20 [95% CI 1.15–1.25]), 38% (Hazard ratio 1.37 [95% CI 1.30–1.45]), and 108% (Hazard ratio 2.08 [95% CI 1.74–2.50]) higher risk in incident kidney disease, renal function decline and end-stage renal disease respectively. Similarly, each unit increase in total cholesterol to high-density lipoprotein-cholesterol ratio variability was associated with 35% (Hazard ratio 1.15 [95% CI 1.10–1.20]), 33% (Hazard ratio 1.33 [95% CI 1.26–1.40]), and 75% (Hazard ratio 1.75 [95% CI 1.46–2.09]) heightened risk in incident kidney disease, renal function decline and end-stage renal disease respectively. Cholesterol variability may potentially be a useful predictor of kidney diseases in patients with type 2 diabetes mellitus. Attention should be drawn to cholesterol variability when managing diabetic patients and further research is warranted to investigate the modifiable risk factors for lipid variability. Nature Publishing Group UK 2021-04-13 /pmc/articles/PMC8044222/ /pubmed/33850209 http://dx.doi.org/10.1038/s41598-021-87067-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Wan, Eric Yuk Fai
Yu, Esther Yee Tak
Chin, Weng Yee
Lau, Christie Sze Ting
Mok, Anna Hoi Ying
Wang, Yuan
Wong, Ian Chi Kei
Chan, Esther Wai Yin
Lam, Cindy Lo Kuen
Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
title Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
title_full Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
title_fullStr Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
title_full_unstemmed Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
title_short Greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
title_sort greater variability in lipid measurements associated with kidney diseases in patients with type 2 diabetes mellitus in a 10-year diabetes cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044222/
https://www.ncbi.nlm.nih.gov/pubmed/33850209
http://dx.doi.org/10.1038/s41598-021-87067-4
work_keys_str_mv AT wanericyukfai greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT yuestheryeetak greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT chinwengyee greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT lauchristieszeting greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT mokannahoiying greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT wangyuan greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT wongianchikei greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT chanestherwaiyin greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy
AT lamcindylokuen greatervariabilityinlipidmeasurementsassociatedwithkidneydiseasesinpatientswithtype2diabetesmellitusina10yeardiabetescohortstudy