CoChat
Sign Up
Cited by 226Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and LipoproteinsLipid metabolism and disorders

Relation of triglyceride levels, fasting and nonfasting, to fatal and nonfatal coronary heart disease.

Eberly, Lynn E.·2003·Archives of Internal Medicine
DOI 10.1001/archinte.163.9.1077
Open this paper in CoChat — free account

Abstract

BACKGROUND: It remains unclear whether hypertriglyceridemia is an independent risk factor for coronary heart disease (CHD), and whether fasting and nonfasting triglyceride (TG) levels are equally predictive. METHODS: A total of 2809 (of 12 866) men randomized during 1973 through 1975 into the Multiple Risk Factor Intervention Trial with fasting and nonfasting TG levels measured at baseline were followed up for CHD incidence and death. Proportional hazards regression models were used to assess associations of fasting and nonfasting TG levels with CHD. RESULTS: Average fasting and nonfasting TG levels were 187 and 284 mg/dL (2.11 and 3.21 mmol/L), respectively. Prevalence of hypertriglyceridemia (200 mg/dL [2.26 mmol/L] or more) was 31% for fasting and 61% for nonfasting. There were 175 nonfatal or fatal CHD events during 8 years and 328 CHD deaths during 25 years. Compared with TG levels less than 200 mg/dL, risk factor-adjusted hazard ratios for CHD mortality for hypertriglyceridemia were 1.24 (P =.09) for fasting and 1.26 (P =.07) for nonfasting. For nonfatal or fatal CHD, fasting and nonfasting TG levels were similarly predictive with hazard ratios of 1.64 (P =.004) for fasting and 1.46 (P =.03) for nonfasting. These associations for fasting TG levels were assessed to be underestimated by 56% because of regression dilution bias, with attenuation likely greater for nonfasting TG levels. CONCLUSIONS: Greater ease of obtaining nonfasting than fasting measurements, greater prevalence of hypertriglyceridemia with nonfasting than fasting values, and similarly increased risk with each indicate that nonfasting TG levels may be more useful than fasting ones for risk stratification.

Integrity signals

Registry

Crossref · 10.1001/archinte.163.9.1077

Cites

26 of 26 references verified0 citation errors · 0 not checkable

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?

  • In MRFIT, average fasting and nonfasting triglyceride levels were similarly predictive for nonfatal or fatal coronary heart disease, with hazard ratios of 1.64 and 1.46.

    “Investigators of the Multiple Risk Factor Intervention Trial (MRFIT) concluded that average fasting [187 mg/dl (2.11 mmol/liter)] and nonfasting [284 mg/dl (3.21 mmol/ liter)] triglyceride levels were similarly predictive for nonfatal or fatal coronary heart disease with hazard ratios of 1. 64 and 1.46, respectively (21).”

    From Evaluation and Treatment of Hypertriglyceridemia: An Endocrine Society Clinical Practice Guideline (2012) · cites this paper as [21]

  • The increase in the postprandial levels of remnant lipoprotein after meals can cause atherosclerosis.

    “Zilversmit et al. proposed that the increase in the postprandial levels of remnant lipoprotein after meals can cause atherosclerosis. Considerable evidence has been accumulated thereafter, and this hypothesis has therefore been established as the disease concept238, 243–245).”

    From Japan Atherosclerosis Society (JAS) guidelines for prevention of atherosclerotic cardiovascular diseases 2017 (2018) · cites this paper as [245]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Eberly, L. E.
Affiliations
University of Minnesota (US)
Corresponding author
Eberly, Lynn E.
ORCID
Eberly, Lynn E.
Venue
Archives of Internal Medicine
Publisher
American Medical Association (AMA)
Published
2003-05-12
Volume
163
Issue
9
Pages
1077
ISSN
0003-9926 (ISSN-L)
DOI
10.1001/archinte.163.9.1077
OpenAlex
W2126063322
Cited by
226
References
26
Citations by year
2026: 1 · 2025: 3 · 2024: 3 · 2023: 7 · 2022: 3 · 2021: 3 · 2020: 8 · 2019: 4 · 2018: 10 · 2017: 9 · 2016: 8 · 2015: 8 · 2014: 18 · 2013: 11 · 2012: 11
FWCI
13.86
Type
journal article
Language
en
Open access
closed
Locations
  • Archives of Internal Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Minnesota
  • National Heart, Lung, and Blood Institute (R01 HL 68140, R01-HL-43232, R01HL068140, R01HL043232)
Topics
  • Health Sciences › Medicine › Surgery › Lipoproteins and Cardiovascular Health
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
Keywords
triglycerides, hypertriglyceridemia, coronary artery disease, cardiovascular risk stratification, coronary heart disease mortality, regression dilution bias, Multiple Risk Factor Intervention Trial
MeSH terms
Adult, Coronary Disease, Fasting, Follow-Up Studies, Humans, Male, Middle Aged, Risk Factors, Triglycerides, Hypertriglyceridemia, Odds Ratio, Randomized Controlled Trials as Topic, Risk Assessment, Postprandial Period

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