» Articles » PMID: 35545695

Late Non-fasting Plasma Glucose Predicts Cardiovascular Mortality Independent of Hemoglobin A1c

Overview
Journal Sci Rep
Specialty Science
Date 2022 May 11
PMID 35545695
Authors
Affiliations
Soon will be listed here.
Abstract

It is unknown whether non-fasting plasma glucose (PG) is associated with cardiovascular disease (CVD) mortality. This study aimed to investigate this association in US adults. This study included adults from the National Health and Nutrition Examination Surveys from 1988 to 2014. Mortality outcomes were ascertained by linkage to the National Death Index records. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of PG for CVD mortality. Among 34,907 participants, 1956, 5564, and 27,387 had PG from participants in early non-fasting, late non-fasting, and fasting states, respectively (defined as a period since last calorie intake of 0-2.9, 3.0-7.9, or ≥ 8.0 h, respectively). This cohort was followed up for 455,177 person-years (mean follow-up, 13.0 years), with 2,387 CVD deaths being recorded. After adjustment for all confounders including hemoglobin A1c (HbA1c), only late non-fasting PG (continuous, natural log-transformed) was positively associated with CVD mortality risks (hazard ratio, 1.73; 95% confidence interval 1.12-2.67). Higher late non-fasting PG (dichotomous, at a cut-off of 105, 110, or 115 mg/dL) was associated with higher CVD mortality risks. In addition, at the cut-off of 115 mg/dL, higher late non-fasting PG was associated with higher CVD mortality risks in those with either a normal (< 5.7%) or prediabetic HbA1c level (from 5.7 to 6.4%). In conclusion, late non-fasting PG predicts CVD mortality independent of HbA1c. Late non-fasting PG with a cut-off of 115 mg/dL may be used to identify those at high CVD risk.

Citing Articles

Mixed-effects neural network modelling to predict longitudinal trends in fasting plasma glucose.

Zou Q, Chen B, Zhang Y, Wu X, Wan Y, Chen C BMC Med Res Methodol. 2024; 24(1):313.

PMID: 39707252 PMC: 11660730. DOI: 10.1186/s12874-024-02442-9.


Postprandial Plasma Glucose between 4 and 7.9 h May Be a Potential Diagnostic Marker for Diabetes.

Wang Y, Fang Y, Aberson C, Charchar F, Ceriello A Biomedicines. 2024; 12(6).

PMID: 38927521 PMC: 11201079. DOI: 10.3390/biomedicines12061313.


Fasting Triglycerides in the Upper Normal Range Are Independently Associated with an Increased Risk of Diabetes Mortality in a Large Representative US Population.

Wang Y J Cardiovasc Dev Dis. 2024; 11(4).

PMID: 38667746 PMC: 11050947. DOI: 10.3390/jcdd11040128.


Postprandial Plasma Glucose Measured from Blood Taken between 4 and 7.9 h Is Positively Associated with Mortality from Hypertension and Cardiovascular Disease.

Wang Y J Cardiovasc Dev Dis. 2024; 11(2).

PMID: 38392267 PMC: 10888633. DOI: 10.3390/jcdd11020053.


Dietary fatty acids and mortality risk from heart disease in US adults: an analysis based on NHANES.

Wang Y, Fang Y, Witting P, Charchar F, Sobey C, Drummond G Sci Rep. 2023; 13(1):1614.

PMID: 36709394 PMC: 9884296. DOI: 10.1038/s41598-023-28738-2.


References
1.
. Postprandial blood glucose. American Diabetes Association. Diabetes Care. 2001; 24(4):775-8. DOI: 10.2337/diacare.24.4.775. View

2.
Qiao Q, Pyorala K, Pyorala M, Nissinen A, Lindstrom J, Tilvis R . Two-hour glucose is a better risk predictor for incident coronary heart disease and cardiovascular mortality than fasting glucose. Eur Heart J. 2002; 23(16):1267-75. DOI: 10.1053/euhj.2001.3113. View

3.
Wang Y . Higher fasting triglyceride predicts higher risks of diabetes mortality in US adults. Lipids Health Dis. 2021; 20(1):181. PMC: 8686260. DOI: 10.1186/s12944-021-01614-6. View

4.
Barr E, Zimmet P, Welborn T, Jolley D, Magliano D, Dunstan D . Risk of cardiovascular and all-cause mortality in individuals with diabetes mellitus, impaired fasting glucose, and impaired glucose tolerance: the Australian Diabetes, Obesity, and Lifestyle Study (AusDiab). Circulation. 2007; 116(2):151-7. DOI: 10.1161/CIRCULATIONAHA.106.685628. View

5.
. 2. Classification and Diagnosis of Diabetes: . Diabetes Care. 2020; 44(Suppl 1):S15-S33. DOI: 10.2337/dc21-S002. View