Utility of using electrocardiogram measures of heart rate variability as a measure of cardiovascular autonomic neuropathy in type 1 diabetes patients

Aims/Introduction Cardiovascular autonomic neuropathy (CAN) is a predictor of cardiovascular disease and mortality. Cardiovascular reflex tests (CARTs) are the gold standard for the diagnosis of CAN, but might not be feasible in large research cohorts or in clinical care. We investigated whether measures of heart rate variability obtained from standard electrocardiogram (ECG) recordings provide a reliable measure of CAN. Materials and Methods Standardized CARTs (R‐R response to paced breathing, Valsalva, postural changes) and digitized 12‐lead resting ECGs were obtained concomitantly in Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications participants (n = 311). Standard deviation of normally conducted R‐R intervals (SDNN) and the root mean square of successive differences between normal‐to‐normal R‐R intervals (rMSSD) were measured from ECG. Sensitivity, specificity, probability of correct classification and Kappa statistics evaluated the agreement between ECG‐derived CAN and CARTs‐defined CAN. Results Participants with CARTs‐defined CAN had significantly lower SDNN and rMSSD compared with those without CAN (P
Participants with cardiovascular reflex tests‐defined cardiovascular autonomic neuropathy (CAN) had significantly lower standard deviation of normally conducted R‐R intervals and root mean square of successive differences between normal‐to‐normal R‐R intervals compared to those without CAN (P