Early glycemic control and magnitude of HbA1c reduction predict cardiovascular events and mortality: population-based cohort study of 24,752 metformin initiators
Abstract
OBJECTIVE We investigated the association of early achieved HbA1c level and magnitude of HbA1c reduction with subsequent risk of cardiovascular events or death in patients with type 2 diabetes who initiate metformin. RESEARCH DESIGN AND METHODS This was a population-based cohort study including all metformin initiators with HbA1c tests in Northern Denmark, 2000–2012. Six months after metformin initiation, we classified patients by HbA1c achieved (<6.5% or higher) and by magnitude of HbA1c change from the pretreatment baseline. We used Cox regression to examine subsequent rates of acute myocardial infarction, stroke, or death, controlling for baseline HbA1c and other confounding factors. RESULTS We included 24,752 metformin initiators (median age 62.5 years, 55% males) with a median follow-up of 2.6 years. The risk of a combined outcome event gradually increased with rising levels of HbA1c achieved compared with a target HbA1c of <6.5%: adjusted hazard ratio (HR) 1.18 (95% CI 1.07–1.30) for 6.5–6.99%, HR 1.23 (1.09–1.40) for 7.0–7.49%, HR 1.34 (1.14–1.57) for 7.5–7.99%, and HR 1.59 (1.37–1.84) for ≥8%. Results were consistent for individual outcome events and robust by age-group and other patient characteristics. A large absolute HbA1c reduction from baseline also predicted outcome: adjusted HR 0.80 (0.65–0.97) for Δ = −4, HR 0.98 (0.80–1.20) for Δ = −3, HR 0.92 (0.78–1.08) for Δ = −2, and HR 0.99 (0.89–1.10) for Δ = −1 compared with no HbA1c change (Δ = 0). CONCLUSIONS A large initial HbA1c reduction and achievement of low HbA1c levels within 6 months after metformin initiation are associated with a lower risk of cardiovascular events and death in patients with type 2 diabetes.
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Numerous studies have demonstrated the clinical benefits of early achievement of near-normal glycemic control in individuals with type 1 diabetes and type 2 diabetes.
“Numerous studies have demonstrated the clinical benefits of early achievement of nearnormal glycemic control in individuals with type 1 diabetes and type 2 diabetes (77-83).”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [77]
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References 40 · Cited by 77
- Authors
- Svensson, E., Baggesen, L. M., Johnsen, S. P., Pedersen, L., Nørrelund, H., Buhl, E. S., Haase, C. L., & Thomsen, R. W.
- Affiliations
- Aarhus University Hospital (DK)
- Novo Nordisk (Denmark) (DK)
- Corresponding author
- Thomsen, Reimar W.
- ORCID
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2017-04-12
- Volume
- 40
- Issue
- 6
- Pages
- 800-807
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2606621200
- Cited by
- 77
- References
- 40
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 5 · 2023: 8 · 2022: 7 · 2021: 10 · 2020: 8 · 2019: 11 · 2018: 11 · 2017: 6
- FWCI
- 7.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes Care (publishedVersion)
- PubMed (publishedVersion)
- Scopus (Elsevier) (submittedVersion)
- Funders
- Novo Nordisk A/S
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- glycemic control, HbA1c, metformin, type 2 diabetes, cardiovascular events, mortality, acute myocardial infarction, stroke, HbA1c reduction, glycemic targets, cardiovascular risk prediction, Denmark, Northern Ireland
- MeSH terms
- Aged, Blood Glucose, Cardiovascular Diseases, Denmark, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Glycated Hemoglobin, Humans, Hypoglycemic Agents, Male, Metformin, Middle Aged, Risk Factors, Cohort Studies, Prevalence, Proportional Hazards Models
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