Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study

Objective: The primary aim of this secondary analysis was to determine whether cardiac autonomic neuropathy independently predicted adverse cardiac outcomes in asymptomatic individuals with type 2 diabetes. Additional aims include the determination of the correlation of standard autonomic testing me...

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Main Authors: Deborah A Chyun, Frans JTh Wackers, Silvio E Inzucchi, Powell Jose, Curtis Weiss, Janice A Davey, Gary V Heller, Ami E Iskandrian, Lawrence H Young
Format: Article
Language:English
Published: SAGE Publishing 2015-02-01
Series:SAGE Open Medicine
Online Access:https://doi.org/10.1177/2050312114568476
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spelling doaj-e35d0c6a66054c14abd528f9ebde452c2020-11-25T03:24:45ZengSAGE PublishingSAGE Open Medicine2050-31212015-02-01310.1177/205031211456847610.1177_2050312114568476Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD studyDeborah A Chyun0Frans JTh Wackers1Silvio E Inzucchi2Powell Jose3Curtis Weiss4Janice A Davey5Gary V Heller6Ami E Iskandrian7Lawrence H Young8 College of Nursing, New York University, New York, NY, USASection of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USASection of Endocrinology, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USASutter Medical Group, Cardiology, Sacramento, CA, USAFeinberg School of Medicine, Northwestern University, Chicago, IL, USASection of Endocrinology, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USADivision of Cardiology, Morristown Medical Center, Morristown, NJ, USADivision of Cardiovascular Diseases, University of Alabama, Birmingham, AL, USASection of Cardiovascular Medicine, Department of Internal Medicine, School of Medicine, Yale University, New Haven, CT, USAObjective: The primary aim of this secondary analysis was to determine whether cardiac autonomic neuropathy independently predicted adverse cardiac outcomes in asymptomatic individuals with type 2 diabetes. Additional aims include the determination of the correlation of standard autonomic testing measures and power spectral analysis of heart rate variability, and the association of diabetes-related and cardiac risk factors with cardiac autonomic neuropathy measures. Methods: Cardiac autonomic neuropathy was assessed at the study entry into the Detection of Ischemia in Asymptomatic Diabetics study, using autonomic heart rate and blood pressure testing, and power spectral analysis of heart rate variability. All participants were prospectively followed for the composite clinical outcome of cardiac death, acute coronary syndromes, heart failure, or coronary revascularization. Results: Over 5 years of follow-up, 94 of 1119 (8.4%) subjects developed symptomatic cardiac disease. In unadjusted bivariate analyses, abnormalities in several cardiac autonomic neuropathy tests, including lower Valsalva and Standing Heart Rate Ratios, higher resting Heart Rate, greater systolic blood pressure decrease on standing, and lower low-frequency power, were predictive of symptomatic disease. Independent predictors of poor cardiac outcome were a lower Valsalva Heart Rate Ratio, non-Black ethnicity, longer diabetes duration, higher glycated hemoglobin (HbA1c), insulin use, reported numbness in the extremities, higher pulse pressure, family history of coronary artery disease, and higher waist-to-hip ratio. Clinical factors independently associated with a lower Valsalva Heart Rate Ratio were insulin use, clinical proteinuria, higher pulse pressure, use of angiotensin-converting enzyme inhibitor and non-Black ethnicity. Conclusion: Cardiac autonomic neuropathy predicted adverse cardiac outcomes in asymptomatic type 2 diabetes without known cardiac disease. Clinical variables may help to identify patients who might have cardiac autonomic neuropathy and warrant consideration for autonomic testing.https://doi.org/10.1177/2050312114568476
collection DOAJ
language English
format Article
sources DOAJ
author Deborah A Chyun
Frans JTh Wackers
Silvio E Inzucchi
Powell Jose
Curtis Weiss
Janice A Davey
Gary V Heller
Ami E Iskandrian
Lawrence H Young
spellingShingle Deborah A Chyun
Frans JTh Wackers
Silvio E Inzucchi
Powell Jose
Curtis Weiss
Janice A Davey
Gary V Heller
Ami E Iskandrian
Lawrence H Young
Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study
SAGE Open Medicine
author_facet Deborah A Chyun
Frans JTh Wackers
Silvio E Inzucchi
Powell Jose
Curtis Weiss
Janice A Davey
Gary V Heller
Ami E Iskandrian
Lawrence H Young
author_sort Deborah A Chyun
title Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study
title_short Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study
title_full Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study
title_fullStr Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study
title_full_unstemmed Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study
title_sort autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the diad study
publisher SAGE Publishing
series SAGE Open Medicine
issn 2050-3121
publishDate 2015-02-01
description Objective: The primary aim of this secondary analysis was to determine whether cardiac autonomic neuropathy independently predicted adverse cardiac outcomes in asymptomatic individuals with type 2 diabetes. Additional aims include the determination of the correlation of standard autonomic testing measures and power spectral analysis of heart rate variability, and the association of diabetes-related and cardiac risk factors with cardiac autonomic neuropathy measures. Methods: Cardiac autonomic neuropathy was assessed at the study entry into the Detection of Ischemia in Asymptomatic Diabetics study, using autonomic heart rate and blood pressure testing, and power spectral analysis of heart rate variability. All participants were prospectively followed for the composite clinical outcome of cardiac death, acute coronary syndromes, heart failure, or coronary revascularization. Results: Over 5 years of follow-up, 94 of 1119 (8.4%) subjects developed symptomatic cardiac disease. In unadjusted bivariate analyses, abnormalities in several cardiac autonomic neuropathy tests, including lower Valsalva and Standing Heart Rate Ratios, higher resting Heart Rate, greater systolic blood pressure decrease on standing, and lower low-frequency power, were predictive of symptomatic disease. Independent predictors of poor cardiac outcome were a lower Valsalva Heart Rate Ratio, non-Black ethnicity, longer diabetes duration, higher glycated hemoglobin (HbA1c), insulin use, reported numbness in the extremities, higher pulse pressure, family history of coronary artery disease, and higher waist-to-hip ratio. Clinical factors independently associated with a lower Valsalva Heart Rate Ratio were insulin use, clinical proteinuria, higher pulse pressure, use of angiotensin-converting enzyme inhibitor and non-Black ethnicity. Conclusion: Cardiac autonomic neuropathy predicted adverse cardiac outcomes in asymptomatic type 2 diabetes without known cardiac disease. Clinical variables may help to identify patients who might have cardiac autonomic neuropathy and warrant consideration for autonomic testing.
url https://doi.org/10.1177/2050312114568476
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