Night-time heart rate variability, a predictor of CV events in diabetics: Study

Written By :  Medha Baranwal
Medically Reviewed By :  Dr. Kamal Kant Kohli
Published On 2021-04-12 06:30 GMT   |   Update On 2021-04-12 09:26 GMT
Advertisement

Denmark: Reduced nighttime heart rate variability (HRV) is associated with an increased risk of cardiovascular (CV) events in patients with well-controlled type 2 diabetes (T2D), finds a recent study in the journal Diabetic Medicine. This implies that night-time HRV may be an addition to traditional risk factors in predicting CV events in T2D patients. 

Cardiovascular events were defined as myocardial infarction, CV death, stroke or coronary revascularization.

Advertisement

Loe HRV is an indication for cardiac autonomic neuropathy which is associated with increased CV mortality in T2D patients. Measurement of HRV is challenged by various factors including mental stress, environmental noise, and physical activity during daytime.

Night-time HRV during sleep may be a more valid tool for the measurement of cardiac autonomic neuropathy and therefore may improve prediction of cardiovascular (CV) events in low‐risk people with T2D. To evaluate the same, Rakin Hadad, Copenhagen University Hospital of Bispebjerg, Copenhagen, Denmark, and colleagues performed Copenhagen Holter Study that included 678 community‐dwelling participants aged 55–75 years who were free of previous CV disease. 

Day and night‐time HRV were available for 653 participants. The population included 133 people with well‐controlled T2Dand newly recognized T2DM (mean HbA1c 55 mmol/mol [7.2%]).

HRV is defined as standard deviation for the mean value of normal‐to‐normal complexes (SDNN). Night‐time HRV measurements were pre‐defined from 2:00 to 2:15 AM. 

Key findings of the study include:

  • Median follow‐up time was 14.4 years. During this period, 245 death and 149 CV events (CV death 36, myocardial infarction 42, revascularisation procedures 46, stroke 70) occurred in total.
  • Among people with T2DM, 41 CV events were observed (CV death 13, myocardial infarction 13, revascularisation procedures 17, stroke 18).
  • Night‐time SDNN was inversely associated with CV events in people with T2DM, (hazard ratio [HR]: 0.74) for each 10‐millisecond increment in SDNN after adjustment for the conventional risk factors sex, age, LDL cholesterol, smoking, systolic blood pressure and by also including glucose CRP and NT‐proBNP in adjustment.
  • Twenty‐four‐hour HRV was not associated with CV events, but associated with all‐cause mortality in people with T2DM. Conventional risk factors had a receiver operating characteristic (ROC) value of 0.704 to predict CV events in people with T2DM.
  • The prediction of CV events by conventional risk factors was improved in people with T2DM by the addition of night‐time SDNN; ROC 0.765, but ROC was not improved by addition of CRP and NT‐proBNP in the model. In people with T2DM and night‐time SDNN ≤30 ms, the 10‐year risk of CV death and CV event rate was 12% and 45%, respectively, which re‐allocated them to a 'very high‐risk' group according to current guidelines.

"Reduced night‐time HRV predicts increased risk of CV events in people with well‐controlled T2DM, thus night‐time HRV may add to traditional risk factors in predicting CV events in people with T2DM," wrote the authors. 

Reference:

The study titled, "Night‐time heart rate variability identifies high‐risk people among people with uncomplicated type 2 diabetes mellitus," is published in the journal Diabetic Medicine.

DOI: https://onlinelibrary.wiley.com/doi/10.1111/dme.14559

Tags:    
Article Source : Diabetic Medicine

Disclaimer: This website is primarily for healthcare professionals. The content here does not replace medical advice and should not be used as medical, diagnostic, endorsement, treatment, or prescription advice. Medical science evolves rapidly, and we strive to keep our information current. If you find any discrepancies, please contact us at corrections@medicaldialogues.in. Read our Correction Policy here. Nothing here should be used as a substitute for medical advice, diagnosis, or treatment. We do not endorse any healthcare advice that contradicts a physician's guidance. Use of this site is subject to our Terms of Use, Privacy Policy, and Advertisement Policy. For more details, read our Full Disclaimer here.

NOTE: Join us in combating medical misinformation. If you encounter a questionable health, medical, or medical education claim, email us at factcheck@medicaldialogues.in for evaluation.

Our comments section is governed by our Comments Policy . By posting comments at Medical Dialogues you automatically agree with our Comments Policy , Terms And Conditions and Privacy Policy .

Similar News