Related Experiment Video
Updated: Aug 20, 2026

Modeling and Evaluation of Murine Diabetic Cardiomyopathy Model
Published on: November 29, 2024
Risk factors for cardiac autonomic neuropathy in type 1 diabetes mellitus
D R Witte1, S Tesfaye, N Chaturvedi
1Department of Epidemiology and Public Health, Royal Free and University College London Medical School, 1-19 Torrington Place, London, WC1E 6BT, UK. d.witte@ucl.ac.uk
Insights
Cardiac autonomic neuropathy (CAN) in type 1 diabetes is predicted by age, HbA1c, blood pressure, and complications like retinopathy. Early identification of these risk factors is crucial for managing CAN and improving patient outcomes.
Area of Science:
- Endocrinology and Diabetology
- Cardiovascular Medicine
- Neurology
Background:
- Cardiac autonomic neuropathy (CAN) significantly increases morbidity and mortality in type 1 diabetes.
- Risk factors for CAN, beyond glycemic control, require further investigation.
Purpose of the Study:
- To identify baseline risk factors for the incidence of cardiac autonomic neuropathy (CAN) in type 1 diabetes patients.
- To establish predictors for CAN development over a 7.3-year follow-up period.
Main Methods:
- Assessed CAN (loss of heart rate variability or postural hypotension) in 956 type 1 diabetes patients without CAN at baseline.
- Utilized data from the EURODIAB Prospective Complications Study with a mean follow-up of 7.3 years.
Main Results:
- 163 participants (17%) developed CAN, with an incidence of 23.4 per 1,000 person-years.
- Increased risk of CAN was associated with higher age, HbA1c, systolic blood pressure, feeling faint on standing, distal symmetrical polyneuropathy (DSP), and retinopathy at baseline.
Conclusions:
- Hyperglycemia (HbA1c) remains a key risk factor for CAN in type 1 diabetes.
- Age, hypertension, DSP, and retinopathy are significant predictors of CAN risk.
- Further clinical trials are recommended to evaluate intensive antihypertensive treatment's impact on CAN.
Aims/Hypothesis:
Cardiac autonomic neuropathy (CAN) is associated with increased morbidity and mortality in type 1 diabetes. Apart from glycaemic control, risk factors for CAN have not been extensively studied.
Methods:
As part of the EURODIAB Prospective Complications Study, CAN--defined as either a loss of heart rate variability or postural hypotension on standing--was assessed at baseline and follow-up (7.3+/-0.6 years from baseline) in patients with type 1 diabetes.
Results:
Follow-up measurements were available for 956 participants without CAN at baseline (age at baseline 31.3+/-8.9 years, duration of diabetes 13.5+/-8.3 years). During follow-up, 163 (17%) subjects developed CAN, yielding an incidence of 23.4 per 1,000 person-years. Blood pressure, weight, the presence of cardiovascular disease, albuminuria, distal symmetrical polyneuropathy (DSP) and retinopathy at baseline were associated with the incidence of CAN after adjustment for sex, duration of diabetes and HbA(1)c. In a multivariate regression model, baseline factors associated with an increased risk of developing CAN were age [odds ratio (OR)=1.3 per decade, 95% CI 1.1-1.7], HbA(1)c (OR=1.2 per percentage point, 95% CI 1.1-1.4), systolic blood pressure (OR=1.1 per 10 mmHg, 95% CI 1.0-1.3), feeling faint on standing (OR=2.0, 95% CI 1.2-3.2), DSP (OR=1.9, 95% CI 1.2-3.0) and retinopathy (OR=1.7, 95% CI 1.1-2.6).
Conclusion/Interpretation:
This study confirms the importance of exposure to hyperglycaemia as a risk factor for CAN. A small set of variables, including HbA(1)c, hypertension, DSP and retinopathy, predict the risk of CAN. Clinical trials are needed to address the impact of intensive antihypertensive treatment on CAN in type 1 diabetes.
Related Concept Videos
Type I Diabetes I: Introduction
Diabetic Neuropathy
Type I Diabetes II: Pathophysiology
Type I Diabetes III: Clinical Manifestations
Type II Diabetes I: Introduction
Type II Diabetes II: Pathophysiology