Cardiovascular autonomic neuropathy (CAN) is a risk factor for cardiovascular disease (CVD) and mortality in patients with type 2 diabetes. This study evaluated the relationship between CAN and recurrent CVD in type 2 diabetes. A total of 206 patients with type 2 diabetes who had a history of CVD within 3 years of enrollment were consecutively recruited from January 2001 to December 2009 and followed-up until December 2015. Cardiovascular autonomic function tests were performed using the following heart rate variability parameters: expiration-to-inspiration ratio, response to Valsalva maneuver and standing. We estimated the recurrence of CVD events during the follow-up period. A total of 159 (77.2%) of the 206 patients enrolled completed the follow up, and 78 (49.1%) patients had recurrent episodes of CVD, with an incidence rate of 75.6 per 1,000 patient-years. The mean age and diabetes duration were 62.5 ± 8.7 and 9.2 ± 6.9 years, respectively. Patients who developed recurrent CVD also exhibited hypertension (P = 0.004), diabetic nephropathy (P = 0.012), higher mean systolic blood pressure (P = 0.006), urinary albumin excretion (P = 0.015), and mean triglyceride level (P = 0.035) than did patients without recurrent CVD. Multivariable Cox hazard regression analysis revealed that definite CAN was significantly associated with an increased risk of recurrent CVD (hazard ratio [HR] 3.03; 95% confidence interval [CI] 1.39−6.60; P = 0.005). Definite CAN was an independent predictor for recurrent CVD in patients with type 2 diabetes who had a known prior CVD event.
Citation: Cha S-A, Yun J-S, Lim T-S, Min K, Song K-H, Yoo K-D, et al. (2016) Diabetic Cardiovascular Autonomic Neuropathy Predicts Recurrent Cardiovascular Diseases in Patients with Type 2 Diabetes. PLoS ONE 11(10): e0164807. https://doi.org/10.1371/journal.pone.0164807
Editor: James M. Wright, University of British Columbia, CANADA
Received: April 20, 2016; Accepted: September 30, 2016; Published: October 14, 2016
Copyright: © 2016 Cha et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The authors received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
The worldwide prevalence of diabetes has increased gradually over the past several years . The Korea National Health and Nutrition Examination Survey reported that the prevalence of diabetes increased from 8.6% in 2001 to 10.2% in 2014 . Increased numbers of patients with type 2 diabetes are inevitably accompanied by diabetes-associated chronic vascular complications. The incidence of diabetes-related complications decreased over the past two decades in U.S., following improvements in glycemic control, acute clinical care, patient education, and advances in health care systems, but a large burden persists because of the continued increase in the number of patients with diabetes . Moreover, obesity, hypertension, and dyslipidemia, known risk factors for cardiovascular disease (CVD), are also more frequent in subjects with diabetes than they are in the non-diabetic population [4–6]. The 2015 Korean Diabetes Fact Sheet reported that the incidence of coronary heart disease (CHD), and stroke was approximately four times and two times higher compared to the non-diabetic population, respectively . Consequently, CVD is a major cause of death in patients with diabetes in Korea .
Multifactorial interventions, such as control of glycemia, blood pressure (BP), and dyslipidemia, are essential to prevent diabetic complications . However, CVD prevention remains difficult in subjects with type 2 diabetes . The International Clinical Practice Guidelines emphasize the importance of total diabetes care, but the percentage of patients who successfully manage their BP, blood glucose, and weight is quite low . In Korea, only 14.5% of patients with type 2 diabetes reached the target range for BP, glucose, and lipid level . Thus, considerable numbers of patients with type 2 diabetes are exposed to risks of CVD and CVD death, and CVD prevention remains difficult in subjects with type 2 diabetes in real practice [10–12]. Therefore, additional predictors or markers for CVD are needed for early detection and prevention of CVD in type 2 diabetes patients.
Cardiovascular autonomic neuropathy (CAN) manifests as a group of symptoms and signs, including exercise intolerance, resting tachycardia, and orthostatic or postural hypotension, that are common but insidious complications in diabetes [13–15]. The Detection of Ischemia in Asymptomatic Diabetics (DIAD) study demonstrated that CAN was an independent predictor for silent myocardial ischemia in subjects with type 2 diabetes [16, 17].
A meta-analysis of 12 cross-sectional studies revealed a significantly increased risk of silent myocardial ischemia in subjects with CAN compared to subjects without CAN, and the pooled prevalence rate risk for silent myocardial ischemia was 1.96 .
The risk of recurrent CVD was higher and more fatal outcomes were observed in patients with type 2 diabetes compared to non-diabetic subjects [18, 19]. The Secondary Analysis of the Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) Trial demonstrated that subjects with type 2 diabetes who had a history of ischemic or hemorrhagic stroke or transient ischemic attack exhibited a 1.6-fold higher risk of recurrent CVD . The development of recurrent CVD is also a predictor for disability and cardiovascular mortality in type 2 diabetes patients . However, the impact of CAN on the development of recurrent CVD in subjects with type 2 diabetes was rarely investigated.
This study estimated the association between CAN and recurrent CVD in patients with type 2 diabetes with a known prior CVD event. To the best of our knowledge, this study is the first report of the relationship between CAN and recurrent CVD in patients with type 2 diabetes.
Materials and Methods
A total of 228 patients with type 2 diabetes, aged 25−75 years, who were diagnosed with a first-time CVD within the previous 3 years, were consecutively enrolled at the university-affiliated diabetes center of St. Vincent’s Hospital in South Korea from January 2001 to December 2009. CVD was defined using a diagnosed history of CHD (e.g., angina pectoris, nonfatal myocardial infarction [MI], or coronary revascularization, including percutaneous coronary intervention or coronary bypass surgery) or ischemic stroke [19, 21]. Stroke history was the composite history of transient ischemic attack or ischemic stroke . Twenty-two patients with arrhythmia, type 1 diabetes, history of ketoacidosis or any severe illness, such as liver cirrhosis, heart failure, severe infection, end-stage renal disease, recent CVD within 6 months, or malignancy were excluded. The Catholic Medical Center Ethics Committee approved this study (approval number of Institutional Review Board [IRB]: VC10OISE0152). All participants provided their signed informed consent.
As described in detail previously, all subjects completed a standard questionnaire at baseline to obtain information on the subject’s past medical history, alcohol consumption status, current or past cigarette smoking status, and medication use. Hypertension was defined as systolic BP ≥ 140 mmHg, diastolic BP ≥ 90 mmHg, or the use of antihypertensive medications . Subjects were classified as current smokers, past smokers, or non-smokers based on smoking status from the questionnaire. We defined current smoking as individuals who had smoked any tobacco products within the previous 12 months in the study . Alcohol consumption was defined as drinking one to two drinks per day for six months or longer .
Laboratory data, including a lipid parameter comprised of total cholesterol, triglyceride, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol, fasting plasma glucose, and hemoglobin A1c (HbA1c) levels, were measured at baseline and every 6 months during the follow-up period. Fasting plasma glucose (FPG) and the lipid profile were assessed using an automated enzymatic method (736−40; Hitachi, Tokyo, Japan), and HbA1c was measured using high-performance liquid chromatography (Bio-Rad, Montreal, QC, Canada) . Estimated glomerular filtration rate (eGFR) was assessed using the 4-component Modification of Diet in Renal Disease equation .
Diabetic retinopathy was assessed via a comprehensive eye examination by an ophthalmologist from retinal photographs taken at baseline. The urinary albumin excretion rates were assessed from a 24-hour urine collection or single-void urine specimens using immunoturbidimetry (Eiken, Tokyo, Japan). Diabetic nephropathy was defined as a urine albumin excretion (UAE) rate > 30 mg/day or urine albumin-to-creatinine ratio > 30 mg/g of creatinine in spot urine specimens, which was confirmed at least three times in six months [22, 26].
Participants received follow-up care every 3 to 4 months for usual diabetes care on an outpatient basis from enrollment to December 2015. BP was measured three times at each visit using a mercury sphygmomanometer (YAMASU, Saitama, Japan) after participants were seated for five minutes. The average of the three BP measurements was used in this study.
Baseline cardiovascular autonomic function test
All participants were instructed to fast for 12 hours and to avoid nicotine, alcohol, insulin, diuretics, antidepressants, antihistamines, or sympatholytic drugs. A single skilled examiner performed cardiovascular autonomic function test (AFT) was performed according to the Ewing method . The cardiovascular AFT included tests of heart rate variability, such as the expiration-to-inspiration (E/I) ratio, responses to the Valsalva maneuver, and postural changes from lying to standing [13, 14]. Each measurement was scored as normal = 0 or abnormal = 1, which was assessed by automated means using Monitor one nDx (QMed, Inc. Eatontown, NJ) and the total score was calculated with a total maximum score of 3 . The result of each CAN item was reviewed by an investigator. CAN staging was determined from the total score of heart rate variability as follows: normal autonomic function = 0; early CAN = 1; and definite CAN ≥ 2 [15, 21]. Orthostatic hypotension was defined as a fall in BP >20 mmHg in systolic BP or >10 mmHg in diastolic BP in response to postural change from supine to standing .
Evaluation of recurrent CVD
The primary endpoint of this study was a recurrent attack of CVD, which was defined as CHD, stroke or limb amputation from diabetic foot, according to World Health Organization (WHO) criteria [28–30]. CHD included MI, non-MI acute coronary syndrome, heart failure, or death attributable to CHD . MI was defined as one of the following criteria: detection of a rise and/or fall of cardiac biomarkers with at least one marker of clinical cardiac ischemia and the absence of non-cardiac causes of biomarker elevation and cardiac symptoms or signs or electrocardiography using WHO criteria . Stroke was defined as a neurological deficit due to cerebrovascular causes that persisted beyond 24 hours or led to death within 24 hours [21, 31]. Recurrence was diagnosed if CVD occurred at least 28 days after the prior event . A physician evaluated whether the subjects had experienced recurrent CVD events based on the above-listed criteria or information from medical records if the subject visited another hospital for a recurrent CVD events, and specialists, including cardiologists, neurologists, or neurosurgeons, confirmed the clinical diagnosis of CVD based on verified medical records or clinical manifestations.
All data are expressed as the means (standard deviation) or frequencies or medians with an interquartile range. P < 0.05 was considered significant. The Chi-square test was used to determine differences in the proportion of categorical variables, and independent Student’s t-tests evaluated differences between the means of two continuous variables. The Mann-Whitney test was used for non-normally distributed variables. Incidence rates were estimated using the person-year method and adjusted for age using the direct method. The proportionality assumption was examined using log-minus log-survival plots, and Cox proportional hazards regression was used to identify associations between CAN and recurrent CVD. The log-rank (Mantel-Cox) test was used to distinguish the effect of the three stages of CAN on recurrent CVD.
The association between CAN and recurrent CVD was analyzed after adjustment for the following factors: age, sex, diabetes duration, presence of hypertension, mean systolic BP, eGFR, and mean HbA1c during the follow-up period in the study. The results are presented as HRs and 95% CIs. Statistical analyzes were performed using SAS version 9.3 (SAS Institute, Cary, NC, USA).
Twenty-two patients were excluded, and 206 subjects with type 2 diabetes who had a prior CVD event within the previous 3 years were recruited. A total of 159 (77.2%) subjects completed the follow-up evaluation (S1 Fig). Forty-seven patients (22.8%) who dropped out or died of non-cardiovascular causes during the follow-up period from enrollment to December 2015 were excluded from the analysis (S1 Fig). The group of subjects who did not complete the follow-up were not significantly different in sex ratio (P = 0.379) or mean HbA1c (P = 0.208), but these subjects were older (65.9 ± 8.0 vs. 62.5 ± 8.7 years, P = 0.016) compared to the 159 subjects who completed the follow-up. The median follow-up period was 8.9 (7.5–10.8) years, and 17 patients (10.7%) died.
Mean age and diabetes duration at baseline were 62.5 ± 8.7 and 9.2 ± 6.9 years, respectively, and 59.1% of the subjects were women in this study. A total of 68.6% patients had hypertension, and the baseline HbA1c level was 8.9% (Table 1).
A total of 78 patients (49.1%) experienced recurrent CVD during the follow-up period, which resulted in an incidence rate of 75.6 per 1,000 patient-years. The median times from the prior cardiovascular event to the time of AFT and recurrent cardiovascular events were 18.0 (11.0–24.0) months and 36.0 (24.0–72.0) months, respectively. The numbers of patients with recurrent ischemic stroke, CHD, and limb amputations were 29, 47 and 2, respectively. S1 Table describes the prior and recurrent CVDs.
Table 1 described the baseline characteristics of participants in the recurrent CVD group and without recurrent CVD group. Patients who developed recurrent CVD exhibited more hypertension (P = 0.004), diabetic nephropathy (P = 0.012), higher mean systolic BP (P = 0.006), urinary albumin excretion (P = 0.015), and mean triglyceride level (P = 0.035) compared to patients who did not have recurrent CVD (Table 1). However, there were no significant differences in the diabetes duration, sex ratio, eGFR, mean HbA1c, insulin use, and mean LDL or HDL cholesterol levels between the groups.
Table 2 showed baseline cardiovascular AFT results according to recurrent CVD. At baseline, 43.4% of patients had definite CAN and 35.9% of patients had orthostatic hypotension. Patients with recurrent CVD were more likely to exhibit an abnormal Valsalva ratio (P = 0.004) and posture ratio (P = 0.014) compared to patients without recurrent CVD. The stage of CAN was also higher in patients with recurrent CVD (P = 0.005), but an abnormal E/I ratio (P = 0.394) or the presence of orthostatic hypotension (P = 0.561) was not significantly different compared with patients without recurrent CVD (Table 2).
Univariable Cox proportional hazard regression analysis revealed that patients with definite CAN exhibited a significantly higher risk of recurrent CVD ([hazard ratio] HR 2.90; 95% CI 1.56−5.40; P = 0.001). The presence of hypertension and mean systolic BP were also significant predictors for recurrent CVD in univariable analysis, but the presence of hypertension was not an independent risk factor of recurrent CVD after adjustment for multiple confounders (S2 Table). Multivariable Cox proportional hazard regression analysis revealed that patients with definite CAN exhibited a 3.0-fold higher risk of recurrent CVD than did patients with normal autonomic function after adjusting for age, sex, diabetes duration, presence of hypertension, mean systolic BP, eGFR, mean LDL cholesterol, and mean HbA1c (HR 3.03; 95% CI 1.39−6.60; P = 0.005) (Fig 1, Table 3, S2 Table).
Mean systolic BP was also a significant predictor for recurrent CVD compared to groups without recurrent CVD (HR 1.28; 95% CI 1.02−1.62; P = 0.037, S2 Table). Presence of hypertension and diabetic nephropathy were more frequent in groups with recurrent CVD, but these factors were not statistically significant in multivariable Cox proportional hazard regression model. Fig 1 showed the HR stratified by CAN stages at baseline in this study.
This prospective cohort study demonstrated that cardiovascular autonomic dysfunction was a risk factor for recurrent CVD in patients with type 2 diabetes. The recurrence of CVD was independent of age, sex, diabetes duration, presence of hypertension, mean systolic BP level, glycemic control status, and baseline renal function. In this population, 49.1% of patients with prior CVD developed recurrent CVDs during the 9-year follow-up period, which corresponds to the incidence rate of 75.6 per 1,000 patient-years and this value is comparable with that found in another prospective study . Our study found that BP control status was also an important predictor for recurrent CVD in patients with type 2 diabetes. Seventeen patients died due to recurrent CVD during follow-up periods.
CAN is a clinically important diabetic autonomic neuropathy because of the increased risk of mortality in patients with diabetic CAN . The prevalence of CAN varies from 12.2 to 22.1% in patients with type 2 diabetes, but it exhibits wide variation across study designs and populations . Ewing et al. reported that patients with symptomatic CAN had a high mortality rate, with 50% of patients exhibiting with abnormal results and autonomic symptoms dying within 2.5 years . A meta-analysis of 15 studies reported that CAN was a risk factor for mortality in diabetes with a pooled relative risk for all-cause mortality of 3.45 (95% CI 2.66–4.47; P = 0.001) . The Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial demonstrated that participants with baseline CAN, which was verified from the lowest quartile of heart rate variability, QT interval prolongation and resting heart rate, exhibited a 1.6–2.1 times higher risk of all-cause mortality and 1.9−2.6 times higher risk of cardiovascular mortality . In addition, a second analysis of the DIAD study showed CAN was significantly associated with CHD and CV death .
The presence of CAN was associated with silent myocardial ischemia and major cardiac events in previous studies [14, 16, 17, 37]. Toyry et al. found that CAN was an independent risk factor for stroke in type 2 diabetes . In addition, we also reported that CAN predicted acute ischemic stroke in patients with type 2 diabetes in a 7-year follow-up study .
Recurrent CVD has more fatal outcomes in patients with type 2 diabetes than those without diabetes . CAN might contribute to the increase in mortality from recurrent CVD in patients with type 2 diabetes. However, few studies report the relationship between CAN and recurrent CVD. The presence of CAN may be a direct cause that leads to recurrent CVD, or it may result from previous CVD. Combined comorbidities, such as hypertension, metabolic syndrome, chronic kidney disease, and other diabetic microvascular complications, may contribute to the recurrence of a CVD attack and should be considered as risk factors .
A previous study demonstrated that the association between CAN and CHD remained significant in patients with diabetes after adjustment for silent myocardial ischemia ([odds ratio] OR 4.30; 95% CI 1.07−17.31; P = 0.04) . We also adjusted for multiple confounders, including age, sex, the presence of hypertension, diabetes duration, renal function, and BP, glycemic and, lipid control status, during the observation period. This study demonstrated that CAN was an independent predictor for recurrent CVD in patients with type 2 diabetes after adjustment for metabolic and clinical factors. Therefore, patients with type 2 diabetes who experienced a previous CVD should be monitored for the presence of definite CAN, and attention to control other metabolic factors may be required to prevent recurrent CVDs.
The mechanisms by which CAN increases cardiovascular mortality and silent myocardial ischemia are not clear, but possible explanations for cardiovascular mortality include exercise intolerance, CHD risk, prolongation of the QT interval that was associated with lethal arrhythmia [14, 15]. CHD occurs from an imbalance between myocardial oxygen supply and demand . Heart rate, myocardial contractility, afterload and preload influence myocardial oxygen demand . The mechanism of silent myocardial ischemia may involve the inability to reach pain threshold during ischemia, a defective angina warning system, a higher beta-endorphin levels, and anti-inflammatory cytokines .
There were several limitations in our study. First, we have no normal values for the E/I ratio, Valsalva ratio, and posture ratio that are specific for Korean subjects or Korean patients with type 2 diabetes. However, one examiner performed AFT using the same method for the entire observation time and ethnic differences in AFT are not confirmed . Second, 23.0% of the participants did not complete the follow up, which may result in selection bias in this study. Third, our study size was small. We confined patients with a prior CVD within 3 previous years of enrollment because of the possibility of the unexpected influence of prior CVD on cardiovascular autonomic function. Fourth, this study was an observational cohort design and only BP levels reached the target range during the study period. Mean LDL cholesterol and mean HbA1c levels were higher than American College of Cardiology and the American Heart Association (ACC/AHA) 2013 guidelines for the treatment of hypercholesterolemia .
This study has plausible strength despite these limitations. We observed the participants for 9 years with regular follow up of glucose, BP, and lipid profile status. This study has clinical implications that cardiovascular AFT may predict the recurrence of CVD in patients with type 2 diabetes independent of glycemic control, diabetes duration, age, sex, the presence of hypertension, mean BP, and kidney function.
In conclusion, this study suggests that definite CAN is an important predictable factor for the future development of recurrent CVD in patients with type 2 diabetes. Clinicians should closely monitor for the presence on cardiovascular autonomic dysfunction in type 2 diabetic patients with history of CVD for possible CVD recurrence. Further studies should be performed to investigate the pathogenic mechanism of CAN in the development of CVD.
S1 Table. Prior cardiovascular event and recurrent cardiovascular event in subjectswith recurrent cardiovascular diseases.
Values are presented as n (%).CV, cardiovascular; CHD, coronary heart disease.
S2 Table. Univariable and multivariable Cox hazards regression model for the risk of recurrent cardiovascular diseases.
eGFR, estimated glomerular filtration rate; TG, triglyceride; LDL-C, low-density lipoprotein cholesterol; SBP, systolic blood pressure; CAN, cardiovascular autonomic neuropathy.
- Conceptualization: SHK.
- Data curation: SAC TSL KM.
- Formal analysis: SAC.
- Investigation: KDY YMP.
- Methodology: SAC.
- Project administration: SHK.
- Resources: KHS.
- Software: SAC JSY.
- Supervision: SHK.
- Validation: JSY.
- Visualization: SAC.
- Writing – original draft: SAC.
- Writing – review & editing: JSY YBA SHK.
- 1. Adeghate E, Schattner P, Dunn E. An update on the etiology and epidemiology of diabetes mellitus. Annals of the New York Academy of Sciences. 2006;1084:1–29. Epub 2006/12/08. pmid:17151290.
- 2. Korea Centers for Disease Control and Prevention. Korea Health Statistics 2014: Korea National Health and Nutrition Examination Survey (KNHANES VI−2), 2014. Available from http://cdc.go.kr. Accessed 17 Feb 2016
- 3. Gregg EW, Li Y, Wang J, Burrows NR, Ali MK, Rolka D, et al. Changes in diabetes-related complications in the United States, 1990–2010. The New England journal of medicine. 2014;370(16):1514–23. Epub 2014/04/18. pmid:24738668.
- 4. Kim CS, Ko SH, Kwon HS, Kim NH, Kim JH, Lim S, et al. Prevalence, awareness, and management of obesity in Korea: data from the Korea national health and nutrition examination survey (1998–2011). Diabetes & metabolism journal. 2014;38(1):35–43. Epub 2014/03/15. pmid:24627826; PubMed Central PMCID: PMCPmc3950193.
- 5. Ko SH, Kwon HS, Kim DJ, Kim JH, Kim NH, Kim CS, et al. Higher prevalence and awareness, but lower control rate of hypertension in patients with diabetes than general population: the fifth korean national health and nutrition examination survey in 2011. Diabetes & metabolism journal. 2014;38(1):51–7. Epub 2014/03/15. pmid:24627828; PubMed Central PMCID: PMCPmc3950195.
- 6. Roh E, Ko SH, Kwon HS, Kim NH, Kim JH, Kim CS, et al. Prevalence and Management of Dyslipidemia in Korea: Korea National Health and Nutrition Examination Survey during 1998 to 2010. Diabetes & metabolism journal. 2013;37(6):433–49. Epub 2014/01/10. pmid:24404515; PubMed Central PMCID: PMCPmc3881328.
- 7. Korean Diabetes Association. Korean Diabetes Fact Sheet 2015. Available from http://www.diabetes.or.kr/pro. Accessed 01 Feb 2016
- 8. Korea Statistics. Fact sheet: Causes of Death Statistics 2014. Available from: http://kostat.go.kr. Accessed 10 Feb 2016
- 9. Gaede P, Vedel P, Larsen N, Jensen GV, Parving HH, Pedersen O. Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. The New England journal of medicine. 2003;348(5):383–93. Epub 2003/01/31. pmid:12556541.
- 10. Buse JB, Ginsberg HN, Bakris GL, Clark NG, Costa F, Eckel R, et al. Primary prevention of cardiovascular diseases in people with diabetes mellitus: a scientific statement from the American Heart Association and the American Diabetes Association. Diabetes care. 2007;30(1):162–72. Epub 2006/12/29. pmid:17192355.
- 11. Leiter LA, Berard L, Bowering CK, Cheng AY, Dawson KG, Ekoe JM, et al. Type 2 diabetes mellitus management in Canada: is it improving? Canadian journal of diabetes. 2013;37(2):82–9. Epub 2013/09/28. pmid:24070797.
- 12. Jung JH, Lee JH, Noh JW, Park JE, Kim HS, Yoo JW, et al. Current Status of Management in Type 2 Diabetes Mellitus at General Hospitals in South Korea. Diabetes & metabolism journal. 2015;39(4):307–15. Epub 2015/08/25. pmid:26301192; PubMed Central PMCID: PMCPmc4543194.
- 13. Boulton AJ, Vinik AI, Arezzo JC, Bril V, Feldman EL, Freeman R, et al. Diabetic neuropathies: a statement by the American Diabetes Association. Diabetes care. 2005;28(4):956–62. Epub 2005/03/29. pmid:15793206.
- 14. Vinik AI, Maser RE, Mitchell BD, Freeman R. Diabetic autonomic neuropathy. Diabetes care. 2003;26(5):1553–79. Epub 2003/04/30. pmid:12716821.
- 15. Vinik AI, Ziegler D. Diabetic cardiovascular autonomic neuropathy. Circulation. 2007;115(3):387–97. pmid:17242296.
- 16. Wackers FJ, Young LH, Inzucchi SE, Chyun DA, Davey JA, Barrett EJ, et al. Detection of silent myocardial ischemia in asymptomatic diabetic subjects: the DIAD study. Diabetes care. 2004;27(8):1954–61. Epub 2004/07/28. pmid:15277423.
- 17. Chyun DA, Wackers FJ, Inzucchi SE, Jose P, Weiss C, Davey JA, et al. Autonomic dysfunction independently predicts poor cardiovascular outcomes in asymptomatic individuals with type 2 diabetes in the DIAD study. SAGE open medicine. 2015;3:2050312114568476. Epub 2016/01/16. pmid:26770763; PubMed Central PMCID: PMCPmc4679226.
- 18. Callahan A, Amarenco P, Goldstein LB, Sillesen H, Messig M, Samsa GP, et al. Risk of stroke and cardiovascular events after ischemic stroke or transient ischemic attack in patients with type 2 diabetes or metabolic syndrome: secondary analysis of the Stroke Prevention by Aggressive Reduction in Cholesterol Levels (SPARCL) trial. Archives of neurology. 2011;68(10):1245–51. pmid:21670382.
- 19. van der Heijden AA, Van't Riet E, Bot SD, Cannegieter SC, Stehouwer CD, Baan CA, et al. Risk of a recurrent cardiovascular event in individuals with type 2 diabetes or intermediate hyperglycemia: the Hoorn Study. Diabetes care. 2013;36(11):3498–502. pmid:23877981; PubMed Central PMCID: PMC3816885.
- 20. Haffner SM, Lehto S, Ronnemaa T, Pyorala K, Laakso M. Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction. The New England journal of medicine. 1998;339(4):229–34. Epub 1998/07/23. pmid:9673301.
- 21. Yun JS, Ko SH, Ko SH, Song KH, Yoo KD, Yoon KH, et al. Cardiovascular Disease Predicts Severe Hypoglycemia in Patients with Type 2 Diabetes. Diabetes & metabolism journal. 2015;39(6):498–506. Epub 2015/09/16. pmid:26370882; PubMed Central PMCID: PMCPmc4696986.
- 22. Yun JS, Lim TS, Cha SA, Ahn YB, Song KH, Choi JA, et al. Lipoprotein(a) predicts the development of diabetic retinopathy in people with type 2 diabetes mellitus. Journal of clinical lipidology. 2016;10(2):426–33. Epub 2016/04/09. pmid:27055974.
- 23. Honda T, Fujimoto K, Miyao Y, Koga H, Ishii M. Current cigarette smoking is an independent risk factor for subacute stent thrombosis in acute myocardial infarction patients. Journal of cardiology. 2014;63(5):358–64. Epub 2013/11/19. pmid:24239276.
- 24. Agarwal DP. Cardioprotective effects of light-moderate consumption of alcohol: a review of putative mechanisms. Alcohol and alcoholism (Oxford, Oxfordshire). 2002;37(5):409–15. Epub 2002/09/10. pmid:12217928.
- 25. Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Annals of internal medicine. 1999;130(6):461–70. Epub 1999/03/13. pmid:10075613.
- 26. Consensus development conference on the diagnosis and management of nephropathy in patients with diabetes mellitus. American Diabetes Association and the National Kidney Foundation. Diabetes care. 1994;17(11):1357–61. Epub 1994/11/01. pmid:7821182.
- 27. Ko SH, Song KH, Park SA, Kim SR, Cha BY, Son HY, et al. Cardiovascular autonomic dysfunction predicts acute ischaemic stroke in patients with Type 2 diabetes mellitus: a 7-year follow-up study. Diabetic medicine: a journal of the British Diabetic Association. 2008;25(10):1171–7. pmid:19046195.
- 28. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). UK Prospective Diabetes Study (UKPDS) Group. Lancet (London, England). 1998;352(9131):837–53. Epub 1998/09/22. pmid:9742976.
- 29. Giorda CB, Avogaro A, Maggini M, Lombardo F, Mannucci E, Turco S, et al. Recurrence of cardiovascular events in patients with type 2 diabetes: epidemiology and risk factors. Diabetes care. 2008;31(11):2154–9. pmid:18782902; PubMed Central PMCID: PMC2571066.
- 30. Thygesen K, Alpert JS, Jaffe AS, Simoons ML, Chaitman BR, White HD, et al. Third universal definition of myocardial infarction. Circulation. 2012;126(16):2020–35. Epub 2012/08/28. pmid:22923432.
- 31. Sacco RL, Kasner SE, Broderick JP, Caplan LR, Connors JJ, Culebras A, et al. An updated definition of stroke for the 21st century: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke; a journal of cerebral circulation. 2013;44(7):2064–89. Epub 2013/05/09. pmid:23652265.
- 32. Orchard TJ, CE LL, Maser RE, Kuller LH. Why does diabetic autonomic neuropathy predict IDDM mortality? An analysis from the Pittsburgh Epidemiology of Diabetes Complications Study. Diabetes research and clinical practice. 1996;34 Suppl:S165–71. Epub 1996/10/01. pmid:9015687.
- 33. Ziegler D, Gries FA, Muhlen H, Rathmann W, Spuler M, Lessmann F. Prevalence and clinical correlates of cardiovascular autonomic and peripheral diabetic neuropathy in patients attending diabetes centers. The Diacan Multicenter Study Group. Diabete & metabolisme. 1993;19(1 Pt 2):143–51. Epub 1993/01/01. pmid:8314418.
- 34. Ewing DJ, Clarke BF. Diabetic autonomic neuropathy: present insights and future prospects. Diabetes care. 1986;9(6):648–65. Epub 1986/11/01. pmid:3100258.
- 35. Maser RE, Mitchell BD, Vinik AI, Freeman R. The association between cardiovascular autonomic neuropathy and mortality in individuals with diabetes: a meta-analysis. Diabetes care. 2003;26(6):1895–901. Epub 2003/05/27. pmid:12766130.
- 36. Pop-Busui R, Evans GW, Gerstein HC, Fonseca V, Fleg JL, Hoogwerf BJ, et al. Effects of cardiac autonomic dysfunction on mortality risk in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. Diabetes care. 2010;33(7):1578–84. Epub 2010/03/11. pmid:20215456; PubMed Central PMCID: PMCPmc2890362.
- 37. Valensi P, Sachs RN, Harfouche B, Lormeau B, Paries J, Cosson E, et al. Predictive value of cardiac autonomic neuropathy in diabetic patients with or without silent myocardial ischemia. Diabetes care. 2001;24(2):339–43. Epub 2001/02/24. pmid:11213889.
- 38. Toyry JP, Niskanen LK, Lansimies EA, Partanen KP, Uusitupa MI. Autonomic neuropathy predicts the development of stroke in patients with non-insulin-dependent diabetes mellitus. Stroke; a journal of cerebral circulation. 1996;27(8):1316–8. Epub 1996/08/01. pmid:8711794.
- 39. Vincent JL. Understanding cardiac output. Critical care. 2008;12(4):174. pmid:18771592; PubMed Central PMCID: PMC2575587.
- 40. Ahmed AH, Shankar K, Eftekhari H, Munir M, Robertson J, Brewer A, et al. Silent myocardial ischemia: Current perspectives and future directions. Experimental and clinical cardiology. 2007;12(4):189–96. Epub 2008/07/25. pmid:18651003; PubMed Central PMCID: PMCPmc2359606.
- 41. Cohen JA, Estacio RO, Lundgren RA, Esler AL, Schrier RW. Diabetic autonomic neuropathy is associated with an increased incidence of strokes. Autonomic neuroscience: basic & clinical. 2003;108(1–2):73–8. pmid:14614967.
- 42. Stone NJ, Robinson JG, Lichtenstein AH, Bairey Merz CN, Blum CB, Eckel RH, et al. 2013 ACC/AHA guideline on the treatment of blood cholesterol to reduce atherosclerotic cardiovascular risk in adults: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2014;129(25 Suppl 2):S1–45. Epub 2013/11/14. pmid:24222016.