Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study

Guobo Xie,1 Yanjia Zhong,2 Shuo Yang,3 Yang Zou4 1Cardiology Department, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Endocrinology Department, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang,...

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Autores principales:	Xie G, Zhong Y, Yang S, Zou Y
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2021
Materias:	diabetes remnant cholesterol independent predictor cohort study. Specialties of internal medicine RC581-951
Acceso en línea:	https://doaj.org/article/14b82e54e4b2497786fca895559968e0
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spelling	oai:doaj.org-article:14b82e54e4b2497786fca895559968e02021-12-02T19:17:36ZRemnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study1178-7007https://doaj.org/article/14b82e54e4b2497786fca895559968e02021-12-01T00:00:00Zhttps://www.dovepress.com/remnant-cholesterol-is-an-independent-predictor-of-new-onset-diabetes--peer-reviewed-fulltext-article-DMSOhttps://doaj.org/toc/1178-7007Guobo Xie,1 Yanjia Zhong,2 Shuo Yang,3 Yang Zou4 1Cardiology Department, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Endocrinology Department, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 3Cardiology Department, Dean County People’s Hospital, Jiujiang, Jiangxi, People’s Republic of China; 4From the Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi, People’s Republic of ChinaCorrespondence: Yang Zou Email jxyxyzy@163.comPurpose: Remnant cholesterol (RC) is the cholesterol of triglyceride-rich lipoproteins, which has a high degree of atherogenic effect. To date, epidemiological evidence supports that higher RC levels lead to a greater risk of adverse cardiovascular events in patients with diabetes, but the nature of the association between RC levels and diabetes risk remains unclear. This study was designed to assess the association of RC with the risk of new-onset diabetes and to investigate whether there is a causal relationship between the two.Patients and Methods: The subjects included 15,464 individuals of the general population who participated in a health examination. Subjects were quartered according to the RC quartile, and the Cox proportional hazard model was used to assess the independent association between RC and new-onset diabetes.Results: During an average observation period of 6.13 years, 2.41% of the subjects were diagnosed with new-onset diabetes. Kaplan–Meier analysis showed that the 13-year cumulative diabetes rates corresponding to the RC quartile were 8.62%, 2.49%, 12.78%, and 17.91%. Multivariate Cox regression analysis indicated that higher RC levels were independently associated with an increased risk of new-onset diabetes (HR: 2.44, 95% CI: 1.50– 3.89). Additionally, according to the results of receiver operating characteristic curve analysis, RC had the largest area under the curve (0.7314) compared to traditional lipid parameters in predicting new-onset diabetes.Conclusion: These results indicated that RC is an important independent predictor of new-onset diabetes in the general population.Keywords: diabetes, remnant cholesterol, independent predictor, cohort studyXie GZhong YYang SZou YDove Medical Pressarticlediabetesremnant cholesterolindependent predictorcohort study.Specialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 14, Pp 4735-4745 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	diabetes remnant cholesterol independent predictor cohort study. Specialties of internal medicine RC581-951
spellingShingle	diabetes remnant cholesterol independent predictor cohort study. Specialties of internal medicine RC581-951 Xie G Zhong Y Yang S Zou Y Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study
description	Guobo Xie,1 Yanjia Zhong,2 Shuo Yang,3 Yang Zou4 1Cardiology Department, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 2Endocrinology Department, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi, People’s Republic of China; 3Cardiology Department, Dean County People’s Hospital, Jiujiang, Jiangxi, People’s Republic of China; 4From the Jiangxi Cardiovascular Research Institute, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, Jiangxi, People’s Republic of ChinaCorrespondence: Yang Zou Email jxyxyzy@163.comPurpose: Remnant cholesterol (RC) is the cholesterol of triglyceride-rich lipoproteins, which has a high degree of atherogenic effect. To date, epidemiological evidence supports that higher RC levels lead to a greater risk of adverse cardiovascular events in patients with diabetes, but the nature of the association between RC levels and diabetes risk remains unclear. This study was designed to assess the association of RC with the risk of new-onset diabetes and to investigate whether there is a causal relationship between the two.Patients and Methods: The subjects included 15,464 individuals of the general population who participated in a health examination. Subjects were quartered according to the RC quartile, and the Cox proportional hazard model was used to assess the independent association between RC and new-onset diabetes.Results: During an average observation period of 6.13 years, 2.41% of the subjects were diagnosed with new-onset diabetes. Kaplan–Meier analysis showed that the 13-year cumulative diabetes rates corresponding to the RC quartile were 8.62%, 2.49%, 12.78%, and 17.91%. Multivariate Cox regression analysis indicated that higher RC levels were independently associated with an increased risk of new-onset diabetes (HR: 2.44, 95% CI: 1.50– 3.89). Additionally, according to the results of receiver operating characteristic curve analysis, RC had the largest area under the curve (0.7314) compared to traditional lipid parameters in predicting new-onset diabetes.Conclusion: These results indicated that RC is an important independent predictor of new-onset diabetes in the general population.Keywords: diabetes, remnant cholesterol, independent predictor, cohort study
format	article
author	Xie G Zhong Y Yang S Zou Y
author_facet	Xie G Zhong Y Yang S Zou Y
author_sort	Xie G
title	Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study
title_short	Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study
title_full	Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study
title_fullStr	Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study
title_full_unstemmed	Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study
title_sort	remnant cholesterol is an independent predictor of new-onset diabetes: a single-center cohort study
publisher	Dove Medical Press
publishDate	2021
url	https://doaj.org/article/14b82e54e4b2497786fca895559968e0
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_version_	1718376898619244544

Remnant Cholesterol is an Independent Predictor of New-Onset Diabetes: A Single-Center Cohort Study

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