Diabetes & Metabolism Journal

Original Articles

Clinical Diabetes & Therapeutics
Effects of High-Dose α-Lipoic Acid on Heart Rate Variability of Type 2 Diabetes Mellitus Patients with Cardiac Autonomic Neuropathy in Korea: Sol Jae Lee, Su Jin Jeong, Yu Chang Lee, Yong Hoon Lee, Jung Eun Lee, Chong Hwa Kim, Kyung Wan Min, Bong Yun Cha; Diabetes Metab J. 2017;41(4):275-283. Published online July 6, 2017; DOI: https://doi.org/10.4093/dmj.2017.41.4.275

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Background

Diabetic cardiac autonomic neuropathy (CAN) is one of the important complications of diabetes. It is characterized by reduced heart rate variability (HRV).

Methods

In this randomized, double-blind, placebo-controlled, multicenter trial, 75 patients were randomly assigned to one of two groups. One group (n=41) received α-lipoic acid (ALA) at an oral dose of 600 mg/day for the first 12 weeks and then 1,200 mg/day for the next 12 weeks. The other group (n=34) received placebo treatment for 24 weeks. CAN was assessed by measuring HRVs in people with diabetes.

Results

Most of the baseline measures for HRVs were similar between the ALA and placebo groups. Although there were no statistically significant HRV changes in the ALA group compared to the placebo group after 24 weeks of trial, we found a positive tendency in some of the HRV parameters of the ALA group. The standard deviations of normal-to-normal RR intervals in the standing position increased by 1.87 ms in the ALA group but decreased by −3.97 ms in the placebo group (P=0.06). The power spectrum of the low frequency (LF) band in the standing position increased by 15.77 ms² in the ALA group, whereas it declined by −15.04 ms² in the placebo group (P=0.08). The high frequency/LF ratio in the upright position increased by 0.35 in the ALA group, whereas it declined by −0.42 in the placebo group (P=0.06). There were no differences between the two groups regarding rates of adverse events.

Conclusion

Although a slight improvement tendency was seen in HRV in the ALA group, there were no statistically significant HRV changes in the ALA group compared to the placebo group after 24 weeks of trial. However, the high oral dose of ALA was well-tolerated.

Citations

Citations to this article as recorded by

Cardiovascular autonomic neuropathy in diabetes: an update with a focus on management
Aikaterini Eleftheriadou, Vincenza Spallone, Abd A. Tahrani, Uazman Alam
Diabetologia.2024; 67(12): 2611. CrossRef
Remodeling of the Intracardiac Ganglia During the Development of Cardiovascular Autonomic Dysfunction in Type 2 Diabetes: Molecular Mechanisms and Therapeutics
Anthony J. Evans, Yu-Long Li
International Journal of Molecular Sciences.2024; 25(22): 12464. CrossRef
Effect of Ramipril on Cardiac Autonomic Neuropathy in Patients With Type II Diabetes Mellitus
Chaitali A Chindhalore, Ganesh N Dakhale, Prathamesh H Kamble, Bharatsing D Rathod, Sunita Kumbhalkar, Mrunal S Phatak
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Evaluating treatment options for cardiovascular autonomic neuropathy in patients with diabetes mellitus: a systematic review
Jasmine KaiLi Goh, Leroy Koh
Diabetology International.2023; 14(3): 224. CrossRef
The effects of alpha lipoic acid (ALA) supplementation on blood pressure in adults: a GRADE-assessed systematic review and dose-response meta-analysis of randomized controlled trials
Mahdi Vajdi, Nooshin Noshadi, Shirin Hassanizadeh, Atefeh Bonyadian, Hooria Seyedhosseini-Ghaheh, Gholamreza Askari
Frontiers in Cardiovascular Medicine.2023;[Epub] CrossRef
Combination Therapy of Alpha-Lipoic Acid, Gliclazide and Ramipril Protects Against Development of Diabetic Cardiomyopathy via Inhibition of TGF-β/Smad Pathway
George J. Dugbartey, Quinsker L. Wonje, Karl K. Alornyo, Louis Robertson, Ismaila Adams, Vincent Boima, Samuel D. Mensah
Frontiers in Pharmacology.2022;[Epub] CrossRef
Diabetic Gastroenteropathy: Soothe the Symptoms or Unravel a Cure?
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Current Diabetes Reviews.2022;[Epub] CrossRef
Efficacy and safety of oral alpha-lipoic acid supplementation for type 2 diabetes management: a systematic review and dose–response meta-analysis of randomized trials
Aliyu Tijani Jibril, Ahmad Jayedi, Sakineh Shab-Bidar
Endocrine Connections.2022;[Epub] CrossRef
Cardiac Autonomic Neuropathy in Type 1 and 2 Diabetes: Epidemiology, Pathophysiology, and Management
Scott Williams, Siddig Abdel Raheim, Muhammad Ilyas Khan, Umme Rubab, Prathap Kanagala, Sizheng Steven Zhao, Anne Marshall, Emily Brown, Uazman Alam
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An updated systematic review and dose-response meta-analysis of the effects of α-lipoic acid supplementation on glycemic markers in adults
Mahsa Mahmoudi-Nezhad, Mahdi Vajdi, Mahdieh Abbasalizad Farhangi
Nutrition.2021; 82: 111041. CrossRef
Management of diabetic neuropathy
Simona Cernea, Itamar Raz
Metabolism.2021; 123: 154867. CrossRef
Effect of alpha-lipoic acid on arterial stiffness parameters in type 2 diabetes mellitus patients with cardiac autonomic neuropathy
Victoria A. Serhiyenko, Ludmila M. Serhiyenko, Volodymyr B. Sehin, Alexandr A. Serhiyenko
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The Role of Alpha-lipoic Acid Supplementation in the Prevention of Diabetes Complications: A Comprehensive Review of Clinical Trials
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Safety Evaluation of α-Lipoic Acid Supplementation: A Systematic Review and Meta-Analysis of Randomized Placebo-Controlled Clinical Studies
Federica Fogacci, Manfredi Rizzo, Christoffer Krogager, Cormac Kennedy, Coralie M.G. Georges, Tamara Knežević, Evangelos Liberopoulos, Alexandre Vallée, Pablo Pérez-Martínez, Eliane F.E. Wenstedt, Agnė Šatrauskienė, Michal Vrablík, Arrigo F.G. Cicero
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Update on the Impact, Diagnosis and Management of Cardiovascular Autonomic Neuropathy in Diabetes: What Is Defined, What Is New, and What Is Unmet
Vincenza Spallone
Diabetes & Metabolism Journal.2019; 43(1): 3. CrossRef
Alpha-lipoic acid (ALA) supplementation effect on glycemic and inflammatory biomarkers: A Systematic Review and meta- analysis
Mehran Rahimlou, Maryam Asadi, Nasrin Banaei Jahromi, Anahita Mansoori
Clinical Nutrition ESPEN.2019; 32: 16. CrossRef
Alpha-lipoic acid and diabetic cardiac autonomic neuropathy
Victoria Serhiyenko, Ludmila Serhiyenko, Alexandr Serhiyenko
MOJ Public Health.2019; 8(1): 8. CrossRef
Response: Effects of High-Dose α-Lipoic Acid on Heart Rate Variability of Type 2 Diabetes Mellitus Patients with Cardiac Autonomic Neuropathy in Korea (Diabetes Metab J 2017;41:275-83)
Chong Hwa Kim, Sol Jae Lee, Bong Yun Cha
Diabetes & Metabolism Journal.2017; 41(5): 420. CrossRef
Letter: Effects of High-Dose α-Lipoic Acid on Heart Rate Variability of Type 2 Diabetes Mellitus Patients with Cardiac Autonomic Neuropathy in Korea (Diabetes Metab J2017;41:275-83)
Jeongmin Lee, Jae Hyoung Cho
Diabetes & Metabolism Journal.2017; 41(5): 417. CrossRef

Clinical Care/Education
Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus: So Young Park, Sun Young Kim, Hye Mi Lee, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Kang-Hee Sim, Sang-Man Jin; Diabetes Metab J. 2017;41(2):99-112. Published online March 3, 2017; DOI: https://doi.org/10.4093/dmj.2017.41.2.99

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Abstract PDF Supplementary Material PubReader

Background

Despite the established benefits of diabetes camps for the continuing education of children with type 1 diabetes mellitus, little is known about the long-term metabolic benefits of diabetes camps for middle-aged and elderly people with type 2 diabetes mellitus (T2DM), especially in terms of glycosylated hemoglobin (HbA1c) variability.

Methods

The 1-year mean and variability of HbA1c before and after the diabetes camp was compared between the participants of the diabetes camp (n=57; median age 65 years [range, 50 to 86 years]; median diabetes duration 14 years [range, 1 to 48 years]). Additional case-control analysis compared the metabolic outcomes of the participants of the diabetes camp and their propensity score-matched controls who underwent conventional diabetes education (n=93).

Results

The levels of HbA1c during the first year after the diabetes camp were comparable to those of the matched controls (P=0.341). In an analysis of all participants of the diabetes camp, the 1-year mean±standard deviation (SD) of HbA1c decreased (P=0.010 and P=0.041) after the diabetes camp, whereas the adjusted SD and coefficient of variance (CV) of HbA1c did not decrease. The adjusted SD and CV significantly decreased after the diabetes camp in participants whose 1-year mean HbA1c was ≥6.5% before the diabetes camp (n=40) and those with a duration of diabetes less than 15 years (n=32).

Conclusion

The 1-year mean and SD of HbA1c decreased after the diabetes camp, with significant reduction in the adjusted SD and CV in those with higher baseline HbA1c and a shorter duration of diabetes.

Citations

Citations to this article as recorded by

Camp-style lifestyle modification program (CAMP) for diabetes prevention among rural women with prior GDM: study protocol for a three-arm cluster hybrid type 2 randomized controlled trial
Yao Chen, Qinyi Zhong, Wencong Lv, Qing Long, Man Ping Wang, Jyu-Lin Chen, James Allen Willey, Robin Whittemore, Jia Guo
BMC Public Health.2024;[Epub] CrossRef
Older adults’ experiences of being at a senior summer camp—A phenomenographic study
Veronika Wallroth, Kjerstin Larsson, Agneta Schröder
Qualitative Social Work.2022; 21(5): 956. CrossRef
Pushing for miracles, pulling away from risk: An ethnographic analysis of the force dynamics at Senior Summer Camps in Sweden
Gabriella Nilsson, Lisa Ekstam, Janicke Andersson
Journal of Aging Studies.2018; 47: 96. CrossRef

Review

Glycemic Variability: How Do We Measure It and Why Is It Important?: Sunghwan Suh, Jae Hyeon Kim; Diabetes Metab J. 2015;39(4):273-282. Published online August 17, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.4.273

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675 Download
267 Web of Science
279 Crossref

Abstract PDF PubReader

Chronic hyperglycemia is the primary risk factor for the development of complications in diabetes mellitus (DM); however, it is believed that frequent or large glucose fluctuations may independently contribute to diabetes-related complications. Postprandial spikes in blood glucose, as well as hypoglycemic events, are blamed for increased cardiovascular events in DM. Glycemic variability (GV) includes both of these events; hence, minimizing GV can prevent future cardiovascular events. Correcting GV emerges as a target to be pursued in clinical practice to safely reduce the mean blood glucose and to determine its direct effects on vascular complications in diabetes. Modern diabetes management modalities, including glucagon-related peptide-1-based therapy, newer insulins, modern insulin pumps and bariatric surgery, significantly reduce GV. However, defining GV remains a challenge primarily due to the difficulty of measuring it and the lack of consensus regarding the optimal approach for its management. The purpose of this manuscript was not only to review the most recent evidence on GV but also to help readers better understand the available measurement options and how the various definitions relate differently to the development of diabetic complications.

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Impact of a Low-Carbohydrate Compared with Low-Fat Breakfast on Blood Glucose Control in Type 2 Diabetes: A Randomized Trial
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Time in Range Estimation in Patients with Type 2 Diabetes is Improved by Incorporating Fasting and Postprandial Glucose Levels
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Effect of Repeated Bolus and Continuous Glucose Infusion on DNA Damage and Oxidative Stress Biomarkers in Healthy Male Volunteers
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Metabolic Stress of Red Blood Cells Induces Hemoglobin Glutathionylation
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A New Analysis Tool for Continuous Glucose Monitor Data
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Influence of Fasting Plasma Glucose Targets on Glycemic Variability in Chinese Participants With Type 2 Diabetes: A Post Hoc Analysis of the FPG GOAL Trial (BEYOND III)
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Diet and Physical Activity as Determinants of Continuously Measured Glucose Levels in Persons at High Risk of Type 2 Diabetes
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The Impact and Clinical Prediction of Hyperglycemia During Parenteral Nutrition for Nondiabetic Patients After Gastrectomy for Gastric Cancer
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Comparison of Glycemic Excursion Using Flash Continuous Glucose Monitoring in Patients with Type 2 Diabetes Mellitus Before and After Treatment with Voglibose
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Comparison of CGM-Derived Measures of Glycemic Variability Between Pancreatogenic Diabetes and Type 2 Diabetes Mellitus
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Probabilistic Model of Transition between Categories of Glucose Profiles in Patients with Type 1 Diabetes Using a Compositional Data Analysis Approach
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Daytime Glycemic Variability and Frailty in Older Patients with Diabetes: a Pilot Study Using Continuous Glucose Monitoring
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Original Articles

1,5-Anhydroglucitol as a Useful Marker for Assessing Short-Term Glycemic Excursions in Type 1 Diabetes: Hannah Seok, Ji Hye Huh, Hyun Min Kim, Byung-Wan Lee, Eun Seok Kang, Hyun Chul Lee, Bong Soo Cha; Diabetes Metab J. 2015;39(2):164-170. Published online March 9, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.2.164

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Background

Type 1 diabetes is associated with more severe glycemic variability and more frequent hypoglycemia than type 2 diabetes. Glycemic variability is associated with poor glycemic control and diabetic complications. In this study, we demonstrate the clinical usefulness of serum 1,5-anhydroglucitol (1,5-AG) for assessing changes in glycemic excursion in type 1 diabetes.

Methods

Seventeen patients with type 1 diabetes were enrolled in this study. A continuous glucose monitoring system (CGMS) was applied twice at a 2-week interval to evaluate changes in glycemic variability. The changes in serum glycemic assays, including 1,5-AG, glycated albumin and hemoglobin A1c (HbA1c), were also evaluated.

Results

Most subjects showed severe glycemic excursions, including hypoglycemia and hyperglycemia. The change in 1,5-AG level was significantly correlated with changes in the glycemic excursion indices of the standard deviation (SD), mean amplitude of glucose excursion (MAGE), lability index, mean postmeal maximum glucose, and area under the curve for glucose above 180 mg/dL (r=-0.576, -0.613, -0.600, -0.630, and -0.500, respectively; all P<0.05). Changes in glycated albumin were correlated with changes in SD and MAGE (r=0.495 and 0.517, respectively; all P<0.05). However, changes in HbA1c were not correlated with any changes in the CGMS variables.

Conclusion

1,5-AG may be a useful marker for the assessment of short-term changes in glycemic variability. Furthermore, 1,5-AG may have clinical implications for the evaluation and treatment of glycemic excursions in type 1 diabetes.

Citations

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The correlation between serum 1, 5-anhydroglucitol and β-cell function in Chinese adults with different glucose metabolism statuses
Yuexing Yuan, Yuanyuan Tan, Yao Wang, Shanhu Qiu, Jiao Yang, Cheng Chen
International Journal of Diabetes in Developing Countries.2024; 44(4): 799. CrossRef
The progress of clinical research on the detection of 1,5-anhydroglucitol in diabetes and its complications
Huijuan Xu, Junhua Pan, Qiu Chen
Frontiers in Endocrinology.2024;[Epub] CrossRef
Glycation and Glucose Variability in Subjects with Type 1 Diabetes
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The clinical potential of 1,5-anhydroglucitol as biomarker in diabetes mellitus
Haiying Xu, Renyin Chen, Xiaoli Hou, Na Li, Yanwei Han, Shaoping Ji
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Glycemic dispersion: a new index for screening high glycemic variability
Rui Shi, Lei Feng, Yan-Mei Liu, Wen-Bo Xu, Bei-Bei Luo, Ling-Tong Tang, Qian-Ye Bi, Hui-Ying Cao
Diabetology & Metabolic Syndrome.2023;[Epub] CrossRef
DBS are suitable for 1,5-anhydroglucitol monitoring in GSD1b and G6PC3-deficient patients taking SGLT2 inhibitors to treat neutropenia
Joseph P. Dewulf, Nathalie Chevalier, Sandrine Marie, Maria Veiga-da-Cunha
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Suk Chon
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Alternative biomarkers for assessing glycemic control in diabetes: fructosamine, glycated albumin, and 1,5-anhydroglucitol
Ji-Eun Lee
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Is A1C Variability an Independent Predictor for the Progression of Atherosclerosis in Type 2 Diabetic Patients?: Chul Sik Kim, So Young Park, Sung Hoon Yu, Jun Goo Kang, Ohk Hyun Ryu, Seong Jin Lee, Eun Gyung Hong, Hyeon Kyu Kim, Doo-Man Kim, Jae Myung Yoo, Sung Hee Ihm, Moon Gi Choi, Hyung Joon Yoo; Korean Diabetes J. 2010;34(3):174-181. Published online June 30, 2010; DOI: https://doi.org/10.4093/kdj.2010.34.3.174

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Background

Little is known about the relative contribution of long-term glycemic variability to the risk of macrovascular complications in type 2 diabetes. This study was conducted to evaluate the effect of A1C variability on the progression of carotid artery intima-media thickness (IMT) in type 2 diabetic patients.

Methods

Among type 2 diabetic patients who visited Hallym University Sacred Heart Hospital from March 2007 to September 2009, 120 patients who had carotid artery IMT measured annually and A1C checked every three months for at least one year were analyzed. Individual A1C variability was defined as the standard deviation (SD) of five A1C levels taken every three months for approximately one year. Change in IMT was defined as an increase in IMT on follow-up measurement. The association between the SD of A1C and changes in IMT was evaluated.

Results

With greater A1C variability, there was a greater increase in the mean IMT (r = 0.350, P < 0.001) of the carotid artery. After adjusting for confounding factors that may influence IMT, A1C variability was significantly associated with the progression of IMT (r = 0.222, P = 0.034). However, the SD of A1C was not a significant independent risk factor for the progression of IMT in multiple regression analysis (β = 0.158, P = 0.093).

Conclusion

Higher A1C variability is associated with IMT progression in type 2 diabetic patients; however, it is not an independent predictor of IMT progression. Overall glycemic control is the most important factor in the progression of IMT.

Citations

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Long-Term Risk of Cardiovascular Disease Among Type 2 Diabetes Patients According to Average and Visit-to-Visit Variations of HbA1c Levels During the First 3 Years of Diabetes Diagnosis
Hyunah Kim, Da Young Jung, Seung-Hwan Lee, Jae-Hyoung Cho, Hyeon Woo Yim, Hun-Sung Kim
Journal of Korean Medical Science.2023;[Epub] CrossRef
Association Between Long-Term Visit-to-Visit Hemoglobin A1c and Cardiovascular Risk in Type 2 Diabetes: The ACCORD Trial
Dan Huang, Yong-Quan Huang, Qun-Ying Zhang, Yan Cui, Tian-Yi Mu, Yin Huang
Frontiers in Cardiovascular Medicine.2021;[Epub] CrossRef
Association of Longitudinal Values of Glycated Hemoglobin With Cardiovascular Events in Patients With Type 2 Diabetes and Multivessel Coronary Artery Disease
Paulo Cury Rezende, Mark Andrew Hlatky, Whady Hueb, Rosa Maria Rahmi Garcia, Luciano da Silva Selistre, Eduardo Gomes Lima, Cibele Larrosa Garzillo, Thiago Luis Scudeler, Gustavo Andre Boeing Boros, Fernando Faglioni Ribas, Carlos Vicente Serrano, Jose An
JAMA Network Open.2020; 3(1): e1919666. CrossRef
Haemoglobin A1c variability as an independent correlate of atherosclerosis and cardiovascular disease in Chinese type 2 diabetes
Yifei Mo, Jian Zhou, Xiaojing Ma, Wei Zhu, Lei Zhang, Jie Li, Jingyi Lu, Cheng Hu, Yuqian Bao, Weiping Jia
Diabetes and Vascular Disease Research.2018; 15(5): 402. CrossRef
Relationship of HbA1c variability, absolute changes in HbA1c, and all-cause mortality in type 2 diabetes: a Danish population-based prospective observational study
Mette V Skriver, Annelli Sandbæk, Jette K Kristensen, Henrik Støvring
BMJ Open Diabetes Research & Care.2015; 3(1): e000060. CrossRef
Association between hemoglobin A1c variability and subclinical coronary atherosclerosis in subjects with type 2 diabetes
Hae Kyung Yang, Borami Kang, Seung-Hwan Lee, Kun-Ho Yoon, Byung-Hee Hwang, Kiyuk Chang, Kyungdo Han, Gunseog Kang, Jae Hyoung Cho
Journal of Diabetes and its Complications.2015; 29(6): 776. CrossRef
Glycated hemoglobin as a marker of subclinical atherosclerosis and cardiac remodeling among non-diabetic adults from the general population
Robin Haring, Sebastian E. Baumeister, Wolfgang Lieb, Bettina von Sarnowski, Henry Völzke, Stephan B. Felix, Matthias Nauck, Henri Wallaschofski
Diabetes Research and Clinical Practice.2014; 105(3): 416. CrossRef
HbA1c Variability and Micro- and Macrovascular Complications of Diabetes
Hae Kyung Yang, Seung-Hwan Lee
The Journal of Korean Diabetes.2014; 15(4): 202. CrossRef
HbA1c variability and the development of microalbuminuria in type 2 diabetes: Tsukuba Kawai Diabetes Registry 2
A. Sugawara, K. Kawai, S. Motohashi, K. Saito, S. Kodama, Y. Yachi, R. Hirasawa, H. Shimano, K. Yamazaki, H. Sone
Diabetologia.2012; 55(8): 2128. CrossRef

Average Daily Risk Range-Index of Glycemic Variability-Related Factor in Type 2 Diabetic Inpatients.: Shin Ae Park, Seung Hyun Ko, Seung Hwan Lee, Jae Hyung Cho, Sung Dae Moon, Sang A Jang, Ki Ho Song, Hyun Shik Son, Kun Ho Yoon, Bong Yun Cha, Ho Young Son, Yu Bae Ahn; Korean Diabetes J. 2009;33(1):31-39. Published online February 1, 2009; DOI: https://doi.org/10.4093/kdj.2009.33.1.31

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BACKGROUND
It is known that chronic sustained hyperglycemia and its consequent oxidative stress causes diabetic complication in type 2 diabetes. It has been further proven that glycemic variability causes oxidative stress. The aim of this study is to measure the average daily risk range (ADDR)-index of glycemic variability, and to evaluate relevant variables. METHODS: We measured the blood glucose level of type 2 diabetic patients who were treated with multiple daily injections from January to July, 2008. The blood glucose levels were checked four times a day for 14 days and were conversed according to the ADRR formula. The degree of glycemic variability was categorized into non-fluctuation and fluctuation groups. We collected patient data on age, sex, duration of diabetes, body mass index, HOMA(IR), HOMA(betacell) and HbA1c. RESULTS: A total of 97 patients were enrolled in this study. The mean age, duration of diabetes, HbA1c and mean ADRR were 57.6 +/- 13.4, 11.5 +/- 8.5 years, 10.7 +/- 2.5%, and 26.6 +/- 9.8, respectively. We classified 18.5% of the patients to the non-fluctuation group, and 81.5% to the fluctuation group. ADRR was significantly correlated with duration of diabetes, fasting and postprandial glucose, fructosamine, HbA1c and BMI and HOMAbetacell. In addition, this study confirmed that BMI, HOMAbetacell and HbA1c were ADRR-related independent variables. CONCLUSION: ADRR can be used as an index for blood glucose fluctuation in type 2 diabetic patients. Measuring ADRR in patients with low BMI and a long duration of diabetes is helpful to improve the effectiveness of their care.

Citations

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Relationships between Thigh and Waist Circumference, Hemoglobin Glycation Index, and Carotid Plaque in Patients with Type 2 Diabetes
Myung Ki Yoon, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm, Kap Bum Huh, Chul Sik Kim
Endocrinology and Metabolism.2020; 35(2): 319. CrossRef
Reversal of Hypoglycemia Unawareness with a Single-donor, Marginal Dose Allogeneic Islet Transplantation in Korea: A Case Report
Hae Kyung Yang, Dong-Sik Ham, Heon-Seok Park, Marie Rhee, Young Hye You, Min Jung Kim, Ji-Won Kim, Seung-Hwan Lee, Tae Ho Hong, Byung Gil Choi, Jae Hyoung Cho, Kun-Ho Yoon
Journal of Korean Medical Science.2015; 30(7): 991. CrossRef

Detection of Diabetic Autonomic Neuropathy by 24-Hour Heart Rate Variability Analysis in Type 2 Diabetes Mellitus Patients.: Young Hee Rho, Nan Hee Kim, Dong Lim Kim, Dong Hyun Shin, Sin Gon Kim, Kyung Mook Choi, Woo Hyuk Song, Sei Hyun Baik, Woo Keun Seo, Min Kyu Park, Dong Seop Choi; Korean Diabetes J. 2002;26(3):208-219. Published online June 1, 2002

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Abstract PDF: BACKGROUND
Diabetic autonomic neuropathy is a relatively common diabetic complication, associated with high long-term mortality. Ewing's test is known as the 'gold standard' for evaluating and diagnosing this disease, yet is not widely used due to the inconvenient procedures of the test. 24-hour Holter EKG monitoring, and the analytical product, heart rate variability, is being introduced as a relatively simple and reliable procedure for the evaluation of diabetic autonomic neuropathy. We explored whether such heart rate variability products derived from Holter monitoring, correlated with the presence, absence, or severity of diabetes mellitus, and whether it correlated well with conventional autonomic tests. METHODS: We compared 59 type 2 diabetic patients with 71 normal subjects. All underwent 24-hr Holter EKG monitoring and basic autonomic evaluations, such as the head-up tilting, hand grip, and deep breathing-heart rate variability tests. Those who had diabetes also underwent evaluation for basic blood chemistry, and complication studies, for things such as: 24-hour urine albumin excretion, fundoscopy and nerve conduction. RESULTS: Variables for heart rate variability were expressed as SDDN, rMSSD, LF, HF, and LF/HF, where SDDN is the Standard Deviation of all RR intervals, rMSSD the square root of the mean of the sum of the squares of differences between adjacent RR intervals, LF the power in the Low Frequency range and HF the power in the High Frequency range, with LF/HF being the ratio between LF and HF. Heart rate variability was significantly lower in terms of rMSSD, LF, HF, but not in terms of the LF/HF ratio, for the diabetic patients compared to the normal subjects. These three variables also correlated with the conventional autonomic tests of systolic blood pressure changes during standing up (negatively), and heart rate variability during deep breathing (positively). SDDN, rMSSD, LF, and HF also correlated negatively with the duration of diabetes. SDDN, LF and HF were significantly lower among patients who had complications such as: retinopathy, nephropathy or peripheral neuropathy, than in those who did not. CONCLUSION: Heart rate variability was lower in type 2 diabetic patients than the control subjects, which correlated well with the duration of diabetes mellitus, diabetic chronic complications and the conventional autonomic nervous function tests, so could be an useful adjunct or even a replacement, for conventional autonomic nervous system testing procedures. More research is needed in this field.

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