| Title: | Glycated Hemoglobin, Prediabetes, and the Links to Cardiovascular Disease: Data From UK Biobank |
| Journal: | Diabetes Care |
| Published: | 18 Dec 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/31852727/ |
| DOI: | https://doi.org/10.2337/dc19-1683 |
| URL: | https://diabetesjournals.org/care/article-pdf/43/2/440/531684/dc191683.pdf |
| Citations: | 67 (29 in last 2 years) as of 8 Aug 2024 |
Publication 3672
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Abstract
OBJECTIVE: HbA1c levels are increasingly measured in screening for diabetes; we investigated whether HbA1c may simultaneously improve cardiovascular disease (CVD) risk assessment, using QRISK3, American College of Cardiology/American Heart Association (ACC/AHA), and Systematic COronary Risk Evaluation (SCORE) scoring systems.</p>
RESEARCH DESIGN AND METHODS: UK Biobank participants without baseline CVD or known diabetes (n = 357,833) were included. Associations of HbA1c with CVD was assessed using Cox models adjusting for classical risk factors. Predictive utility was determined by the C-index and net reclassification index (NRI). A separate analysis was conducted in 16,596 participants with known baseline diabetes.</p>
RESULTS: Incident fatal or nonfatal CVD, as defined in the QRISK3 prediction model, occurred in 12,877 participants over 8.9 years. Of participants, 3.3% (n = 11,665) had prediabetes (42.0-47.9 mmol/mol [6.0-6.4%]) and 0.7% (n = 2,573) had undiagnosed diabetes (≥48.0 mmol/mol [≥6.5%]). In unadjusted models, compared with the reference group (<42.0 mmol/mol [<6.0%]), those with prediabetes and undiagnosed diabetes were at higher CVD risk: hazard ratio (HR) 1.83 (95% CI 1.69-1.97) and 2.26 (95% CI 1.96-2.60), respectively. After adjustment for classical risk factors, these attenuated to HR 1.11 (95% CI 1.03-1.20) and 1.20 (1.04-1.38), respectively. Adding HbA1c to the QRISK3 CVD risk prediction model (C-index 0.7392) yielded a small improvement in discrimination (C-index increase of 0.0004 [95% CI 0.0001-0.0007]). The NRI showed no improvement. Results were similar for models based on the ACC/AHA and SCORE risk models.</p>
CONCLUSIONS: The near twofold higher unadjusted risk for CVD in people with prediabetes is driven mainly by abnormal levels of conventional CVD risk factors. While HbA1c adds minimally to cardiovascular risk prediction, those with prediabetes should have their conventional cardiovascular risk factors appropriately measured and managed.</p>
15 Keywords
- Adult
- Aged
- Biological Specimen Banks
- Cardiovascular Diseases
- Cohort Studies
- Diabetes Complications
- Diabetes Mellitus
- Female
- Glycated Hemoglobin
- Humans
- Male
- Middle Aged
- Prediabetic State
- Risk Factors
- United Kingdom
19 Authors
- Claire Welsh
- Paul Welsh
- Carlos A. Celis-Morales
- Patrick B. Mark
- Daniel Mackay
- Nazim Ghouri
- Fredrick K. Ho
- Lyn D. Ferguson
- Rosemary Brown
- James Lewsey
- John G. Cleland
- Stuart R. Gray
- Donald M. Lyall
- Jana J. Anderson
- Pardeep S. Jhund
- Jill P. Pell
- Darren K. McGuire
- Jason M.R. Gill
- Naveed Sattar
1 Application
| Application ID | Title |
|---|---|
| 9310 | Associations of blood biomarkers with cardiovascular disease and related cardiometabolic outcomes and risk prediction in the clinical setting |
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