Cardiometabolic and renal phenotypes and transitions in the United States population
File(s)s44161-023-00391-y.pdf (7.05 MB)
Published version
Author(s)
Type
Journal Article
Abstract
Cardiovascular and renal conditions have both shared and distinct determinants. In this study, we applied unsupervised clustering to multiple rounds of the National Health and Nutrition Examination Survey from 1988 to 2018, and identified 10 cardiometabolic and renal phenotypes. These included a ‘low risk’ phenotype; two groups with average risk factor levels but different heights; one group with low body-mass index and high levels of high-density lipoprotein cholesterol; five phenotypes with high levels of one or two related risk factors (‘high heart rate’, ‘high cholesterol’, ‘high blood pressure’, ‘severe obesity’ and ‘severe hyperglycemia’); and one phenotype with low diastolic blood pressure (DBP) and low estimated glomerular filtration rate (eGFR). Prevalence of the ‘high blood pressure’ and ‘high cholesterol’ phenotypes decreased over time, contrasted by a rise in the ‘severe obesity’ and ‘low DBP, low eGFR’ phenotypes. The cardiometabolic and renal traits of the US population have shifted from phenotypes with high blood pressure and cholesterol toward poor kidney function, hyperglycemia and severe obesity.
Date Issued
2024-01
Online Publication Date
2024-01-31T16:00:00Z
Date Acceptance
2023-11-13
ISSN
2731-0590
Publisher
Springer Nature [academic journals on nature.com]
Start Page
46
End Page
59
Journal / Book Title
Nature Cardiovascular Research
Volume
3
Issue
1
Copyright Statement
© The Author(s) 2023, corrected publication 2024. 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
License URI
Identifier
http://dx.doi.org/10.1038/s44161-023-00391-y
Publication Status
Published
Date Publish Online
2023-12-15