Cited by 1Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and LipoproteinsParaoxonase enzyme and polymorphisms

Abstract P109: HDL Cholesterol Confers Exceptionally Strong Cardioprotective and Metabolic Effects in Native Hawaiian and Pacific Islander Populations

Szatrowski, Austin, Sun, Patrick, Lee, Yoonseo, Lord, George, Hallee, Logan, Hedges, Jerris, Khomtchouk, Bohdan B·2024·Circulation

Abstract

Relative to the general population, Native Hawaiian and Pacific Islander (NHPI) communities are significantly more prone to obesity, diabetes, and heart disease. Our population-based longitudinal study focuses on HDL cholesterol levels and cardiovascular risk among NHPI and other (comparison) populations. Given the importance of health disparities in cardiovascular disease among the people of Hawai'i, this study holds considerable importance for establishing more diverse, equitable, and inclusive healthcare and precision medicine approaches. Specifically, we communicate a novel data-driven finding, revealed from a statistical and machine learning analysis of epidemiological data from the NIH All of Us Research Program, showing that the cardioprotective effect of high-density lipoprotein (HDL) cholesterol is significantly stronger in NHPI populations relative to other racial/ethnic demographics (including White, Black, and Hispanic/Latinx communities). Our results indicate that: 1) the cardioprotective effect of HDL against coronary artery disease (CAD), acute myocardial infarction (MI), and major adverse cardiovascular events (MACE), is much more powerful in NHPI populations compared to any other racial/ethnic groups currently represented in All of Us . 2) HDL has an exceptionally strong negative relationship with Type II diabetes (T2D) incidence in NHPI populations, which is also significantly stronger than in other ethnicities. In NHPI populations, these results suggest that an additional emphasis ought to be placed on the cardiac and metabolic-protective effect of HDL level as a key biomarker/risk factor in physicians’ assessment of cardiometabolic disease risk. These cardiovascular health equity findings highlight the importance of more and improved diversity, equity, and inclusion efforts to adequately serve growing subpopulations of historically underrepresented groups such as NHPIs within the US healthcare system.

Integrity signals

Registry

Crossref · 10.1161/circ.149.suppl_1.p109

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Szatrowski, A., Sun, P., Lee, Y., Lord, G., Hallee, L., Hedges, J., & Khomtchouk, B. B.
Affiliations
  • University of Chicago (US)
  • Indiana University Indianapolis (US)
  • Harvard University (US)
  • University of Delaware (US)
  • University of Hawaii System (US)
Venue
Circulation
Published
2024-03-19
Volume
149
Issue
Suppl_1
ISSN
  • 0009-7322 (ISSN-L)
  • 1524-4539
OpenAlex
W4396953524
Cited by
0
References
0
Type
conference abstract
Language
en
Open access
closed
Locations
Circulation (publishedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Paraoxonase enzyme and polymorphisms
Keywords
HDL cholesterol, cardioprotection, coronary artery disease, acute myocardial infarction, major adverse cardiovascular events, type 2 diabetes, cardiovascular risk, racial and ethnic disparities, health equity, cardiometabolic risk, precision medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review