Modifiable Risk Factors for Cardiovascular Disease in Children with Type 1 Diabetes: Can Early Intervention Prevent Future Cardiovascular Events?

Objective: To identify determinants associated with insulin resistance and to assess the association between insulin resistance and cardiovascular events, vascular interventions and mortality in people with type 1 diabetes at high risk of cardiovascular disease . Design: Prospective cohort study. Methods: 195 people with type 1 diabetes from the Secondary Manifestations of ARTerial disease (SMART) cohort were included. Insulin resistance was quantified by the estimated glucose disposal rate (eGDR) with higher eGDR levels indicating higher insulin sensitivity (i.e. lower eGDR levels indicating higher insulin resistance). Linear regression models were used to evaluate determinants associated with eGDR. The effect of eGDR on cardiovascular events, cardiovascular events or vascular interventions (combined endpoint) and on all-cause mortality was analysed using Cox proportional hazards models adjusted for confounders. Results: In 195 individuals (median follow-up 12.9 years, IQR 6.7-17.0), a total of 25 cardiovascular events, 26 vascular interventions and 27 deaths were observed. High eGDR as a marker for preserved insulin sensitivity was independently associated with a lower risk of cardiovascular events (HR 0.75; 95%CI 0.61-0.91), a lower risk of cardiovascular events and vascular interventions (HR 0.74; 95%CI 0.63-0.87), and a lower risk of all-cause mortality (HR 0.81; 95%CI 0.67-0.98). Conclusions: Insulin resistance as measured by eGDR is an additional risk factor for cardiovascular disease in individuals with type 1 diabetes. Modification of insulin resistance by lifestyle interventions or pharmacological treatment could be a viable therapeutic target to lower the risk of cardiovascular disease.

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Undertreatment of hypertension and hypercholesterolaemia in children and adolescents with type 1 diabetes: long-term follow-up on time trends in the occurrence of cardiovascular disease, risk factors and medications use

British Journal of Clinical Pharmacology ◽

10.1111/bcp.13482 ◽

2018 ◽

Vol 84 (4) ◽

pp. 776-785 ◽

Cited By ~ 8

Author(s):

Fariba Ahmadizar ◽

Patrick Souverein ◽

Anthonius de Boer ◽

Anke H. Maitland-van der Zee

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Type 1 Diabetes ◽

Time Trends ◽

Disease Risk ◽

Cardiovascular Disease Risk ◽

Long Term Follow Up

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30-Year Cardiovascular Disease in Type 1 Diabetes: Risk and Risk Factors Differ by Long-Term Patterns of Glycemic Control

10.2337/figshare.16775965 ◽

2021 ◽

Author(s):

Rachel G. Miller ◽

Trevor J. Orchard ◽

Tina Costacou

Keyword(s):

Risk Factors ◽

Cardiovascular Disease ◽

Type 1 Diabetes ◽

Glycemic Control ◽

Latent Class ◽

Diabetes Duration ◽

Cvd Risk ◽

High Hba1c

Objective: We hypothesized that there is heterogeneity in long-term patterns of glycemic control with respect to cardiovascular disease (CVD) development in type 1 diabetes and that risk factors for CVD differ by glycemic control pattern. Thus, we estimated associations between data-derived latent HbA1c trajectories and 30-year CVD risk in the Pittsburgh Epidemiology of Diabetes Complications (EDC) study of childhood-onset (<17 years old) type 1 diabetes. Research Design and Methods: Participants (n=536 with ≥2 HbA1c measurements [median 6] and CVD-free at baseline; mean age 27 and diabetes duration 18 years) were followed from 1986-88 to 2016-18 to ascertain CVD incidence (CVD death, myocardial infarction, stroke, coronary revascularization or blockage ≥50%, ischemic ECG, or angina). Latent HbA1c trajectories and their association with time-to-CVD incidence were simultaneously assessed using Joint Latent Class Mixed Models. Results: Two HbA1c trajectories with respect to differential CVD risk were identified: Low (HbA1c ~8% [64 mmol/mol] and improving over follow-up, 76% of cohort) and High (HbA1c ~10% [86 mmol/mol] and stable, 24%). Overall, 30-year CVD incidence was 47.4% (n=253); MACE incidence 31.0% (n=176). High HbA1c was associated with 3-fold increased CVD risk versus Low HbA1c. Both groups had similar age and diabetes duration. Non-HDLc and estimated glomerular filtration rate were associated with CVD risk only in Low HbA1c; albumin excretion rate was associated with CVD risk only in High HbA1c. Conclusions: These risk factor differences suggest that pathways to CVD may differ by glycemic control, potentially resulting in important implications for prognosis in type 1 diabetes.

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