IMPACT OF DIABETES ON HEART RATE VARIABILITY AND LEFT VENTRICULAR FUNCTION IN PATIENTS AFTER MYOCARDIAL INFARCTION



Similar documents
Therapeutic Approach in Patients with Diabetes and Coronary Artery Disease

Medical management of CHF: A New Class of Medication. Al Timothy, M.D. Cardiovascular Institute of the South

Coronary Artery Disease leading cause of morbidity & mortality in industrialised nations.

Listen to your heart: Good Cardiovascular Health for Life

Guidelines for the management of hypertension in patients with diabetes mellitus

DISCLOSURES RISK ASSESSMENT. Stroke and Heart Disease -Is there a Link Beyond Risk Factors? Daniel Lackland, MD

ADVANCE: a factorial randomised trial of blood pressure lowering and intensive glucose control in 11,140 patients with type 2 diabetes

The Canadian Association of Cardiac

Provider Checklist-Outpatient Imaging. Checklist: Nuclear Stress Test, Thallium/Technetium/Sestamibi (CPT Code )

Isabella Sudano & Franco Muggli

TYPE 2 DIABETES MELLITUS: NEW HOPE FOR PREVENTION. Robert Dobbins, M.D. Ph.D.

6/5/2014. Objectives. Acute Coronary Syndromes. Epidemiology. Epidemiology. Epidemiology and Health Care Impact Pathophysiology

RISK STRATIFICATION for Acute Coronary Syndrome in the Emergency Department

Treating AF: The Newest Recommendations. CardioCase presentation. Ethel s Case. Wayne Warnica, MD, FACC, FACP, FRCPC

Main Effect of Screening for Coronary Artery Disease Using CT

Cilostazol versus Clopidogrel after Coronary Stenting

RATE VERSUS RHYTHM CONTROL OF ATRIAL FIBRILLATION: SPECIAL CONSIDERATION IN ELDERLY. Charles Jazra

Exchange solutes and water with cells of the body

Cardiovascular Guidelines for DOT Physical Exams By Maureen Collins MSN, APRN, BC

Non-Invasive Risk Predictors in (Children with) Pulmonary Hypertension

Osama Jarkas. in Chest Pain Patients. STUDENT NAME: Osama Jarkas DATE: August 10 th, 2015

Anatomi & Fysiologi The cardiovascular system (chapter 20) The circulation system transports; What the heart can do;

GERIATRYCZNE PROBLEMY KLINICZNE/GERIATRICS MEDICAL PROBLEMS

Is it really so? : Varying Presentations for ACS among Elderly, Women and Diabetics. Yen Tibayan, M.D. Division of Cardiovascular Medicine

RACE I Rapid Assessment by Cardiac Echo. Intensive Care Training Program Radboud University Medical Centre NIjmegen

INHERIT. The Lancet Diabetes & Endocrinology In press

Cardiovascular disease physiology. Linda Lowe-Krentz Bioscience in the 21 st Century October 14, 2011

COMMITTEE FOR HUMAN MEDICINAL PRODUCTS (CHMP) DRAFT GUIDELINE ON THE EVALUATION OF MEDICINAL PRODUCTS FOR CARDIOVASCULAR DISEASE PREVENTION

Cardiac Rehabilitation The Best Medicine for Your CAD Patients. James A. Stone

After acute myocardial infarction, diabetes CARDIAC OUTCOMES AFTER MYOCARDIAL INFARCTION IN ELDERLY PATIENTS WITH DIABETES MELLITUS

ECG may be indicated for patients with cardiovascular risk factors

38 year old female with mild obesity. She is planning an exercise program to loose weight. She has no other known risk factors for CAD.

Aggressive Lowering of Blood Pressure in type 2 Diabetes Mellitus: The Diastolic Cost

Objectives. Preoperative Cardiac Risk Stratification for Noncardiac Surgery. History

Section Four: Pulmonary Artery Waveform Interpretation

Diagnostic and Therapeutic Procedures

Vascular Effects of Caffeine

Metabolic Syndrome Overview: Easy Living, Bitter Harvest. Sabrina Gill MD MPH FRCPC Caroline Stigant MD FRCPC BC Nephrology Days, October 2007

BASIC STANDARDS FOR RESIDENCY TRAINING IN CARDIOLOGY

BIPOLAR LIMB LEADS UNIPOLAR LIMB LEADS PRECORDIAL (UNIPOLAR) LEADS VIEW OF EACH LEAD INDICATIVE ECG CHANGES

Cardiac Assessment for Renal Transplantation: Pre-Operative Clearance is Only the Tip of the Iceberg

Atrial Fibrillation 2014 How to Treat How to Anticoagulate. Allan Anderson, MD, FACC, FAHA Division of Cardiology

Guidance for Industry Diabetes Mellitus Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes

CASE B1. Newly Diagnosed T2DM in Patient with Prior MI

Perioperative Cardiac Evaluation

PHARMACOLOGICAL Stroke Prevention in Atrial Fibrillation STROKE RISK ASSESSMENT SCORES Vs. BLEEDING RISK ASSESSMENT SCORES.

Disclosure. All the authors have no conflict of interest to disclose in this study.

Cardiac Rehabilitation: An Under-utilized Resource Making Patients Live Longer, Feel Better

Addendum to Clinical Review for NDA

5. Management of rheumatic heart disease

Prognostic impact of uric acid in patients with stable coronary artery disease

Updated Cardiac Resynchronization Therapy Guidelines

HOW TO CITE THIS ARTICLE:

Sponsor. Novartis Generic Drug Name. Vildagliptin. Therapeutic Area of Trial. Type 2 diabetes. Approved Indication. Investigational.

1 Congestive Heart Failure & its Pharmacological Management

CORONARY ARTERY DISEASE ALTERS VENTRICULAR REPOLARIZATION DYNAMICS IN TYPE 2 DIABETES

HTEC 91. Topic for Today: Atrial Rhythms. NSR with PAC. Nonconducted PAC. Nonconducted PAC. Premature Atrial Contractions (PACs)

COMMITTEE FOR MEDICINAL PRODUCTS FOR HUMAN USE (CHMP) GUIDELINE ON THE EVALUATION OF MEDICINAL PRODUCTS FOR CARDIOVASCULAR DISEASE PREVENTION

Non Invasive Testing for CAD

Psoriasis Co-morbidities: Changing Clinical Practice. Theresa Schroeder Devere, MD Assistant Professor, OHSU Dermatology. Psoriatic Arthritis

Cohort Studies. Sukon Kanchanaraksa, PhD Johns Hopkins University

Efficient Evaluation of Chest Pain

ATRIAL FIBRILLATION: Scope of the Problem. October 2015

Your Life Your Health Cariodmetabolic Risk Syndrome Part VII Inflammation chronic, low-grade By James L. Holly, MD The Examiner January 25, 2007

Evaluating ED Patients with Transient Ischemic Attack: Inpatient vs. Outpatient Strategies

Apixaban Plus Mono vs. Dual Antiplatelet Therapy in Acute Coronary Syndromes: Insights from the APPRAISE-2 Trial

How should we treat atrial fibrillation in heart failure

Introduction to Electrocardiography. The Genesis and Conduction of Cardiac Rhythm

The Role Of Early Stress Testing In Assessing Low Risk Chest Pain Patients Admitted Through The Emergency Department

ATRIAL FIBRILLATION (RATE VS RHYTHM CONTROL)

R.P. Zecchin*, J. Baihn, Y.Y. Chai, J. Hungerford, G. Lindsay, M. Owen, J. Thelander, D.L. Ross, C. Chow, A.R. Denniss. Westmead Hospital, Sydney,

Nova Scotia Guidelines for Acute Coronary Syndromes (Updating the 2008 Diabetes sections of the Guidelines)

Electrocardiographic Issues in Williams Syndrome

The WHI 12 Years Later: What Have We Learned about Postmenopausal HRT?

ROLE OF LDL CHOLESTEROL, HDL CHOLESTEROL AND TRIGLYCERIDES IN THE PREVENTION OF CORONARY HEART DISEASE AND STROKE

Assessing risk of myocardial infarction and stroke: new data from the Prospective Cardiovascular Münster (PROCAM) study

How to control atrial fibrillation in 2013 The ideal patient for a rate control strategy

Prescription Pattern of Anti Hypertensive Drugs used in Hypertensive Patients with Associated Type2 Diabetes Mellitus in A Tertiary Care Hospital

THE HEART Dr. Ali Ebneshahidi

3/2/2010 Post CABG R h e bili a i tat on Ahmed Elkerdany Professor o f oof C ardiac Cardiac Surgery Ain Shams University 1

ACUTE CORONARY SYNDROME By Dr wasfi al abadi md jbc, dr walid sawalha mbbs mrcp jbc

INTRODUCTORY GUIDE TO IDENTIFYING ECG IRREGULARITIES

Coronary Heart Disease (CHD) Brief

Antiaggreganti. STEMI : cosa c è di nuovo? Heartline Genova Novembre 2015

MY TYPE 2 DIABETES NUMBERS

Vs. K. Farsalinos, D. Tsiapras, S. Kyrzopoulos, M. Savvopoulou, E. Avramidou, D. Vassilopoulou, V. Voudris

Know your Numbers The D5 Goals for Diabetes Care. Shelly Hanson RN, CNS, CDE Cuyuna Regional Medical Center November 6, 2014

Anticoagulants in Atrial Fibrillation

Multiple comorbidities: additive and predictive of cardiovascular risk. Peter M. Nilsson Lund University University Hospital Malmö, Sweden

Cardiovascular Disease Risk Factors

Type II Pulmonary Hypertension: Pulmonary Hypertension due to Left Heart Disease

Journal Club: Niacin in Patients with Low HDL Cholesterol Levels Receiving Intensive Statin Therapy by the AIM-HIGH Investigators

A randomized, controlled trial comparing the efficacy of carvedilol vs. metoprolol in the treatment of atrial fibrillation

TABLE 1 Clinical Classification of AF. New onset AF (first detected) Paroxysmal (<7 days, mostly < 24 hours)

Specific Basic Standards for Osteopathic Fellowship Training in Cardiology

The largest clinical study of Bayer's Xarelto (rivaroxaban) Wednesday, 14 November :38

GENERAL HEART DISEASE KNOW THE FACTS

4/7/2015. Cardiac Rehabilitation: From the other side of the glass door. Chicago, circa Objectives. No disclosures, no conflicts

Flash, Rocking on others Added value in DCM and CRT. C. Parsai Polyclinique des Fleurs France

Can Common Blood Pressure Medications Cause Diabetes?

Transcription:

FACTA UNIVERSITATIS Series: Medicine and Biology Vol.12, No 3, 2005, pp. 130-134 UC 616.379-008.64:616.127-005.8 IMPACT OF DIABETES ON HEART RATE VARIABILITY AND LEFT VENTRICULAR FUNCTION IN PATIENTS AFTER MYOCARDIAL INFARCTION Viktor Stoičkov, Stevan Ilić, Marina Deljanin Ilić, Aleksandar Nikolić, Vojislava Mitić Institute for Prevention, Treatment and Rehabilitation of Rheumatic and Cardiovascular Diseases "Niška Banja", Niška Banja E-mail: viktors@bankerinter.net Summary. Coronary patients with diabetes are at high risk of cardiovascular events. Coronary disease in diabetic patients has a rapid and progressive course due to the synergic activity of hyperglycemia and other risk factors of coronary disease such as dyslipidemia, hypertension, obesity, and smoking. Diabetic autonomic neuropathy which first affects the vagal nerves contributes to the bad prognosis of coronary patients with diabetes. The best marker of the state of activity of the autonomic nervous system is heart rate variability, which is a predictor of cardiac mortality. The aim of this study was to determine a possible influence of diabetes mellitus on the left ventricular function and the parameters of heart rate variability, as well as the relation between the left ventricular function and the parameters of heart rate variability in patients after myocardial infarction and diabetes. We studied 141 patients after myocardial infarction in the sinus rhythm without AV blocks or branch blocks. Thirtyfive patients had diabetes mellitus, and 106 did not. The average age of the patients was 58.82 years. Besides clinical examination and laboratory analyses, standard ECG, exercise test on a treadmill according to Bruce protocol, 24- hour holter monitoring, and echocardiographic examination were performed in each patient. Based on the holter record, the analysis of the heart rate variability was performed by software. Four parameters of the time domain heart rate variability were assessed: SDNN, SDANN, RMS-SD and NN > 50 ms. Diabetic patients after myocardial infarction had a significantly lower values of the monitored parameters of heart rate variability, compared to those without diabetes (89.47 ± 30.82 vs. 103.28 ± 32.18 ms; p < 0.025 for SDNN; 28.50 ± 13.71 vs. 35.22 ± 12.42 ms; p<0.02 for RMS-SD; 77.26 ± 27.58 vs. 88.74 ± 30.58 ms; p < 0.05 for SDANN and 7.45 ± 8.63 vs. 11.07 ± 9.08 ms; p < 0.05 for NN > 50 ms). Diabetics also had significantly lower values of LVEF (49.19 ± 8.01 vs. 52.84 ± 11.24 %; p < 0.05) and significantly higher values of LVESd (39.39 ± 4.82 vs. 37.03 ± 6.18 mm; p<0.025), as well as a higher degree of the left ventricle diastolic dysfunction, compared to non-diabetics (0.82 ± 0.18 vs. 0.91 ± 0.21; p<0.02 for ratio E/A and 183.52 ± 47.29 vs. 214.32 ± 46.15; p < 0.005 for Dt). The study showed that there is a significant positive correlation of SDNN values and SDANN with LVEF (r = 0.510; p < 0.01 for SDNN and r = 0.569; p < 0.01 for SDANN) and a significantly negative correlation with LVESd (r = 0.361; p < 0.05 for SDNN and r = 0.364; p < 0.05 for SDANN), while with LVEDd the correlation did not reach the level of significance in diabetic patients after myocardial infarction. The values of parameters RMS-SD and NN > 50 ms did not correlate significantly with LVEF or the internal dimensions of the left ventricle in diabetics after myocardial infarction. The study demonstrated diabetic patients who suffered myocardial infarction have significantly lower values of the parameters of heart rate variability, significantly lower values of LVEF and significantly higher values of LVESd, as well as a higher degree of the left ventricle diastolic dysfunction, compared to non-diabetics. The study showed that there is a significant positive correlation of SDNN and SDANN values with LVEF and a significant negative correlation with LVESd in diabetics who suffered myocardial infarction. Key words: Heart rate variability, left ventricle function, myocardial infarction, diabetes mellitus. Introduction Coronary patients with diabetes are at high risk of cardiovascular events which cause mortality in about 80% of diabetic patients. In the general population, there are 1-2% (1) to 5-8% (2) of patients with diabetes. In coronary care units, however, of all patients with acute coronary syndrome, there are about 20-25% of diabetic patients (3,4). The cause of such disproportion is due to early development of atherosclerosis and coronary disease in diabetic patients, so it is more diffuse and of a more severe stage. Compared to non-diabetic coronary patients, three-vessel coronary disease is more frequent in diabetics, and fissures and thrombi more frequently form on atheromathosis plates (3,4,5). Coronary disease in diabetic patients has a rapid and progressive course due to the synergistic influence of hyperglycemia and other risk factors of coronary dis-

IMPACT OF DIABETES ON HEART RATE VARIABILITY AND LEFT VENTRICULAR FUNCTION... 131 ease, such as dyslipidemia, hypertension, obesity, and smoking. Besides coronary disease, diabetic cardiomyopathy is often present in diabetic patients (6,7). In diabetic patients without coronary disease, hypertension or dyslipidemia, systolic and diastolic dysfunction of the left ventricle have been found (8). Hyperglycemia increases the presence of renin and angiotensin in myocytes. Angiotensin II binds angiotensin receptors and induces apoptosis which contributes to the development of cardiomyopathy. Apoptosis of myocytes in the diabetic heart was characterized by an 85- fold increase (8). Diabetic autonomic neuropathy which induces dysfunction of the autonomic nervous system is present in about 50% of diabetic patients (9) and contributes to the bad prognosis of coronary diabetics. The parameters of heart rate variability (HRV) as markers of the autonomic nervous system state are used for the evaluation of the influence of both the sympaticus and the vagus on the heart beat, as well as for the identification of patients who are at high risk of cardiovascular events (10,11,12). Aim The objective of the study is to determine a possible influence of diabetes mellitus on the left ventricle function and the parameters of heart rate variability, as well as the relation between the left ventricle function and the parameters of heart rate variability in diabetic patients who suffered myocardial infarction. Patients and Methods We examined 141 patients who suffered myocardial infarction (mean age 58.82 years) in the sinus rhythm without AV blocks or branch blocks. Thirty-five patients (24.8%) had diabetes mellitus, and 106 (75.2%) did not. There was no significant difference between the two groups with respect to age or sex. In diabetics who suffered myocardial infarction the average glycemia value was 11.2±2.1 mmol/l, and the average cholesterol value was 6.4±2.6 mmol/l. In patients without diabetes the average glycemia value was 4.7±1.0 mmol/l, and the average cholesterol value was 5.8±2.0 mmol/l. Cardiovascular risk factors in both groups are shown in Table 1. Table 1. Some clinical characteristics in diabetic and non-diabetic patients who suffered myocardial infarction Clinical Patients Patients characteristics with diabetes without diabetes p Mean age (years) 58.76 ± 7.81 58.84 ± 8.72 NS Male sex 27 (77.14%) 78 (73.58%) NS Arterial hypertension 35 (100%) 69 (65.09%) 0.001 Cigarette smoking 27 (77.14%) 73 (68.87%) NS Hypercholesterolemia 18 (51.43%) 42 (39.62%) NS Besides clinical examination and laboratory analyses, standard ECG, exercise test, 24-hour holter monitoring and echocardiographic examination were also performed. For the purpose of identifying residual ischemia, all patients underwent exercise testing, which was performed on a treadmill according to Bruce protocol. The test was terminated if one of the following criteria was met: attainment of age-specific maximal heart rate; occurrence of 0.2 mv horizontal or down-sloping STsegment depression; reduction in systolic blood pressure > 20 mmhg from baseline; hypertension (blood pressure > 240/120 mmhg) or significant symptoms of arrhythmias. The test was considered positive if one of the following criteria was present on the ECG: horizontal or down-sloping ST-segment depression for 0.1 mv from the baseline ECG in three consecutive beats lasting more than 0.08 sec; ST-segment elevation for 0.1 mv from the baseline ECG in leads which do not have abnormal Q-wave. A 24-hour holter monitoring (system Del Mar Avionics mode 5268-505 MPA/R-ACQ: 2.15, Irvine, California, USA) was performed during the patients everyday activities. The system involved an analysis of the classic holter monitoring and defining of heart rate variability. Based on the holter records, the analyses of HRV were performed by software. Four parameters of the time domain HRV were assessed: SDNN (standard deviation of NN intervals during 24 hours), SDANN (standard deviation of the averages of NN intervals in all five-minute segments during 24 hours), RMS-SD (the square root of the mean of the sum of the squares of differences between adjacent normal RR intervals during 24 hours), NN>50 ms (percentage of consecutive RR intervals which differed for more than 50 ms during 24 hours). The echocardiographic examination (Acuson-Sequia, C 256) was performed by M-mode and two-dimensional echocardiography and Doppler-echocardiography. The left ventricular end-diastolic diameter (LVEDd), the left ventricular end-systolic diameter (LVESd), thickening of the inter-ventricular septum (IVs), thickening of the posterior wall of the left ventricle (Pw), the size of the left atrium (La), and the left ventricular ejection fraction (LVEF) were measured. Transmitral diastolic blood flow was registered with the pulse Doppler from the apical position of the transducer, using the section of the four-chamber view. The sample volume was placed at the level of the top of the mitral leaflets in the open position. On the basis of the transmitral flow, the speed of the early (E) wave and late (A) wave of the atrial filling of the left ventricle were determined, as well as their ratio (E/A). The value of speed was expressed in cm/sec. Decelerate time of the early filling of the left ventricle (Dt) was also determined. The left ventricular systolic function was determined according to the value of LVEF and the internal dimensions of the left ventricle.

132 V. Stoičkov, S. Ilić, M. Deljanin Ilić, et al. The results obtained were analyzed and statistically processed. The average value and standard deviation were determined for each parameter in both patients groups and tested by the Student t-test. The correlation of HRV parameters with the echocardiographic parameters of the left ventricle was determined. Results Diabetic patients who suffered myocardial infarction had significantly lower values of the monitored parameters of HRV, compared to those without diabetes (Table 2). Table 2. Comparison of HRV parameters in diabetic and non-diabetic patients who suffered myocardial infarction HRV Patients with Patients without parameters diabetes diabetes t p N 35 106 SDNN (ms) 89.47 ± 30.82 103.28 ± 32.18 2.27 0.025 RMS-SD (ms) 28.50 ± 13.71 35.22 ± 12.42 2.57 0.02 SDANN (ms) 77.26 ± 27.58 88.74 ± 30.58 2.08 0.05 NN>50ms 7.45 ± 8.63 11.07 ± 9.08 2.13 0.05 RR (ms) 0.74 ± 0.11 0.79 ± 0.12 2.27 0.05 Patients with diabetes had significantly lower values of LVEF and significantly higher values of LVESd, as well as a higher degree of the left ventricle diastolic dysfunction, compared to patients without diabetes (Table 3). Table 3. Comparison of echocardiographic parameters of the left ventricle in diabetic and non-diabetic patients who suffered myocardial infarction Echocardiographic parameters of the left ventricle Patients with diabetes Patients without diabetes N 35 106 LVEDd (mm) 55.71 ± 5.41 54.41 ± 6.02 1.20 NS LVESd (mm) 39.39 ± 4.82 37.03 ± 6.18 2.34 0.025 IVs (mm) 12.14 ± 1.89 11.85 ± 2.43 0.73 NS Pw (mm) 10.31 ± 1.43 10.59 ± 1.68 0.96 NS La (mm) 42.18 ± 6.55 39.43 ± 6.35 2.17 0.05 LVEF (%) 49.19 ± 8.01 52.84 ± 11.24 2.10 0.05 E/A 0.82 ± 0.18 0.91 ± 0.21 2.43 0.02 Dt 183.52± 47.29 214.32 ± 46.15 3.36 0.005 The study showed that there is a significantly positive correlation of SDNN and SDANN values with LVEF and a significantly negative correlation with LVESd, while with LVEDd the correlation did not reach the level of significance in diabetics who suffered myocardial infarction (Table 4,5,6). The values of parameters RMS-SD and NN > 50 ms did not significantly correlate with LVEF and the internal dimensions of the left ventricle in diabetic patients after myocardial infarction (Table 4,5,6). Residual ischemia was present in t p 30 (85.7%) diabetics who suffered myocardial infarction and in 62 (58.4 %) non-diabetic patients. Table 4. Correlation of LVEF with the parameters of LVEF r P SDNN (ms) 89.47 ± 30.82 0.510 0.01 RMS-SD (ms) 28.50 ± 13.71-0.017 NS SDANN (ms) 77.26 ± 27.58 0.569 0.01 NN>50ms 7.45 ± 8.63 0.048 NS Table 5. Correlation of LVEDd with the parameters of LVEDd r p SDNN (ms) 89.47 ± 30.82-0.242 NS RMS-SD (ms) 28.50 ± 13.71 0.176 NS SDANN (ms) 77.26 ± 27.58-0.256 NS NN>50ms 7.45 ± 8.63 0.326 NS Table 6. Correlation of LVESd with the parameters of LVESd r p SDNN (ms) 89.47 ± 30.82-0.361 0.05 RMS-SD (ms) 28.50 ± 13.71 0.282 NS SDANN (ms) 77.26 ± 27.58-0.364 0.05 NN>50ms 7.45 ± 8.63 0.187 NS Discussion The study has shown that diabetic patients who suffered myocardial infarction have significantly lower values of HRV parameters, compared to patients without diabetes. Diabetics with myocardial infarction also had a significantly higher degree of the left ventricle dysfunction, compared to non-diabetics. A more severe degree of the left ventricle dysfunction in the examined diabetic patients is induced due to the synergistic influence of hyperglycemia, dyslipidemia and hypertension. Hypertension has a significant role in the onset of coronary disease in diabetic patients. The lowering of blood pressure (average of 10/5 mmhg) using a betablocker or an ACE inhibitor as first line therapy reduced diabetes-related deaths by 32%, microvascular endpoints by 37%, strokes by 44%, and myocardial infarcts by 21% in patients with diabetes and hypertension (13). In our diabetic patients with myocardial infarction, arterial blood pressure was not controlled, which is one of the causes of the severe left ventricular dysfunction. Dyslipidemia is also a significant risk factor for coronary disease. It was shown that the level of cholesterol in coronary patients, during the period of 25 years of

IMPACT OF DIABETES ON HEART RATE VARIABILITY AND LEFT VENTRICULAR FUNCTION... 133 monitoring, was directly correlated to mortality. Reduction of LDL cholesterol in coronary patients with diabetes leads to the decrease of morbidity and mortality (14). In our study, diabetics who suffered myocardial infarction had high values of cholesterol (6.4 mmol/l) which contributes to a faster progression of coronary disease. Besides the above-mentioned risk factors for coronary disease, smoking was present in a high percentage in our diabetic patients, which significantly accelerated the progression of coronary disease. Diabetes is an independent risk factor for both morbidity and mortality. Patients with type II diabetes have two to four times higher risk of ischemic cardiovascular events in comparison to persons without diabetes, and the risk is mainly less dependent on concomitant hypertension, hyperlipidemia, and smoking (15,16,17). After control of all risk factors for coronary disease in patients with type II diabetes, the mortality rate of cardiovascular diseases is twice higher in men and four times higher in women (9). The correlation between fasting plasma glucose and the incidence of cardiovascular events is well established (15,16). Hyperglycemia induces cardiovascular dysfunction independent of arterial hypertension, dyslipidemia, and obesity. Hyperglycemia induces coronary dysfunction, because it takes part in producing free oxygen radicals which inactivate endothelium-derived nitric oxide and activate protein kinase C which induces production of vasoconstrictive prostanoids (17). Hyperglycemia induces endothelial dysfunction and increases platelets activity and their agregability (17,18). In diabetic patients with non-regulated glycemia, the increased adhesion of platelets, monocytes and other leukocytes for endothelium were found. Fibrinogen and coagulability of blood were also increased, while fibrinolitic activity was decreased (19,20). In our study, diabetics who suffered myocardial infarction had high levels of glycemia (11.2 mmol/l). These patients had residual ischemia in high percent, found during the exercise test, which contributed to a greater left ventricle dysfunction. Patients with diabetes had significantly lower values of LVEF and significantly higher values of LVESd, compared to patients without diabetes. These findings suggest a higher degree of the left ventricle systolic dysfunction in those patients. Diabetics who suffered myocardial infarction also had a higher degree of the left ventricle diastolic dysfunction, compared to patients without diabetes. Coronary disease and hypertension also contribute to the decrease of the left ventricle diastolic function in diabetic patients. However, in our study, non-diabetics also had coronary disease and arterial hypertension in a high percentage, but a significant difference in the wall thickness of the left ventricle between the two examined groups was not found. These findings suggest that, in addition to the above-mentioned causes, diabetic cardiomyopathy has a significant role in the development of a higher degree of the left ventricle dysfunction in diabetics. In patients with diabetes, significantly lower values of HRV parameters which maintain the activity of vagus RMS-SD and NN > 50 ms were found, when compared to the values found in non-diabetics. This finding suggests that in diabetic patients, diabetic neuropathy is present in a great number of cases. Strict control of glycemia significantly reduces cardiovascular events and cardiac mortality in diabetics (19,21). In our study, all diabetics who suffered myocardial infarction had more than two risk factors for coronary disease, and most of them had residual ischemia which led to the increased lowering of the values of HRV parameters and to a great extent the left ventricular dysfunction. Conclusion The study has shown that diabetic patients who suffered myocardial infarction had significantly lower values of heart rate variability, significantly lower values of LVEF, significantly higher values of LVESd, and a higher degree of the left ventricle dysfunction, when compared to non-diabetic patients. There is a significant positive correlation of SDNN and SDANN parameters with LVEF, and a significantly negative correlation with LVESd, in diabetics with myocardial infarction. References 1. Foster DW. Diabetes mellitus. In: Fauci A, et al (eds). Harisons principles of internal medicine. New York, McGraw-Hill, 1998; 1739-1759. 2. Biondi-Zoccai GL, Abbate A, Liuzzo G, Biasucci LM. Atherotrombosis, inflammation and diabetes. J Am Coll Cardiol 2003; 41: 1071-1077. 3. Melchior T, Kober L, Madsen CR, et al. Accelerating impact of diabetes mellitus on mortality in the years following an acute myocardial infarction. Eur Heart J 1999; 20: 973-978. 4. Braunwald E, Antman E, Beasley JW, et al. ACC/AHA guidelines for the management of patients with unstable angina and non-st-segment elevation myocardial infarction. J Am Coll Cardiol 2000; 36:970-1062. 5. Norhamar A, Malmberg K, Diderholm E, et al. Diabetes mellitus: The major factor in unstable coronary artery disease even after consideration of the extent of coronary artery disease and benefits of revascularization. J Am Coll Cardiol 2004; 43: 585-591. 6. Galderisi M, Anderson KM, Wilson PW, et al. Echocardiographic evidence for the existence of a distinct diabetic cardiomyopathy (The Framingham Heart Study). Am J Cardiol 1991; 68: 85-89. 7. Fang ZY, Najos-Valencia O, Leano R, Marwick TH. Patients with early diabetic heart disease demonstrate a normal myocardial response to dobutamine. J Am Coll Cardiol 2003; 42: 446-453. 8. Picano E. Diabetic cardiomyopathy: the importance of being earliest. J Am Coll Cardiol 2003; 42: 454-457. 9. Powers AC. Diabetes mellitus. In: Braunwald E, et al (eds): Harisonova načela interne medicine. Beograd, Banja Luka, Bard-Fin & Romanov, 2004; 2109-2137. 10. Task Force of the European Society of Cardiology and North American Society for pacing and electrophysiology, heart rate variability: standards measurement physiological interpretation and clinical use. Circulation 1996; 93: 1043-1065.

134 V. Stoičkov, S. Ilić, M. Deljanin Ilić, et al. 11. Liu PY, Tsai WC, Lin LJ, et al. Time domain heart rate variability as a predictor of long-term prognosis after acute myocardial infarction. J Formos Med Assoc 2003; 102: 474-479. 12. Camm AJ, Pratt CM, Schwartz PJ, et al. Mortality in patients after a recent myocardial infarction: a randomized, placebocontrolled trial of azimilide using heart rate variability for risk stratification. Circulation 2004; 109: 990-996. 13. Yudkin JS. The United Kingdom Prospective Diabetes Study (UKPDS)- everything you need to know about diabetes but were afraid to ask. Eur Heart J 1999; 20: 181-182. 14. Gotto AM, Farmer JA. Lipid-lowering trials. In: Braunwald E, Zipes D, Libby P (eds.). Heart Disease. Philadelphia, W.B. Saunders Company, 2001; 1066-1085. 15. Stamler J, Vaccaro D, Neaton JD, Wentworth D. Diabetes, other risk factors, and 12-year cardiovascular mortality for men screened in the multiple risk factor intervention trial. Diabetes Care 1993; 16: 434-444. 16. Coutinho M, Gerstein HC, Wang Y, Yusuf S. The relationship between glucose and incidence cardiovascular events: a metaregression analysis of published data from 20 studies of 95783 individuals followed for 12.4 years. Diabetes Care 1999; 22: 233-240. 17. Di Carli MF, Janisse J, Grunberger G, Ager J. Role chronic hyperglicemia in the pathogenesis of coronary microvascular dysfunction in diabetes. J Am Coll Cardiol 2003; 41: 1387-1393. 18. Gresele P, Guglielmini G, Deangelis M, et al. Acute short-term hyperglicemia enhances sheart stress-induced platelet activation in patients with type II diabetes mellitus. J Am Coll Cardiol 2003; 41: 1013-1020. 19. Nesto RW, Libby P. Diabetes mellitus and cardiovascular system. In: Braunwald E, Zipes D, Libby P (eds.): Heart Disease. Philadelphia, W.B. Saunders Company, 2001; 2133-2150. 20. Iwakura K, Ito H, Ikusbima M, et al. Association between hyperglicemia and the no-reflow Phenomenon in patients with acute myocardial infarction. J Am Coll Cardiol 2003; 41: 1-7. 21. Corpus RA, Gorge PB, House JA, et al. Optimal glycemic control is associated with a lower rate of target vessel revascularization in treated type II diabetes patients undergoing elective percutaneous coronary intervention. J Am Coll Cardiol 2004; 43: 8-14. UTICAJ DIJABETESA NA VARIJABILNOST FREKVENCIJE SRČANOG RADA I FUNKCIJU LEVE KOMORE U BOLESNIKA SA PREŽIVELIM INFARKTOM MIOKARDA Viktor Stoičkov, Stevan Ilić, Marina Deljanin Ilić, Aleksandar Nikolić, Vojislava Mitić Institut za prevenciju, lečenje i rehabilitaciju reumatičkih i kardiovaskularnih bolesti "Niška Banja", Niška Banja Kratak sadržaj: Koronarni bolesnici sa dijabetesom su na visokom riziku od kardiovaskularnih događaja. Koronarna bolest u dijabetičara ima ubrzan, progresivni tok usled sinergističkog delovanja hiperglikemije i drugih faktora rizika koronarne bolesti, kao što su dislipidemija, hipertenzija, gojaznost i pušenje. Lošoj prognozi koronarnih bolesnika sa dijabetesom doprinosi i dijebatesna autonomna neuropatija koja prvo zahvata parasimpatikus. Najbolji marker stanja aktivnosti autonomnog nervnog sistema je varijabilnost frekvencije srčanog rada, koja je nezavisni prediktor kardijalnog mortaliteta. Cilj rada je da se utvrdi uticaj dijabetes melitusa na funkciju leve komore i parametre varijabilnosti frekvencije srčanog rada, kao i odnos funkcije leve komore i parametara varijabilnosti frekvencije srčanog rada kod bolesnika sa preživelim infarktom miokarda i dijabetesom. Studijom je obuhvaćen 141 bolesnik koji je preživeo infarkt miokarda, u sinusnom ritmu bez AV blokova i blokova grana. Sa dijabetes melitusom bilo je 35 bolesnika, a 106 je bilo bez dijabetesa. Prosečna starost ispitanika iznosila je 58,82 godine. Ispitanicima je pored kliničkog pregleda i laboratorijskih analiza urađen standardni EKG, test fizičkim opterećenjem na pokretnoj traci po Bruce-ovom protokolu, 24-časovni holter monitoring i ehokardiografski pregled. Iz holterskog zapisa softverski je vršena analiza HRV. Analizirana su četri parametra vremenske analize HRV: SDNN, SDANN, RMS-SD i NN > 50ms. Bolesnici sa preživelim infarktom miokarda i dijabetesom imali su značajno manje vrednosti praćenih parametara HRV u odnosu na one bez dijabetesa (89,47 ± 30,82 : 103,28 ± 32,18 ms; p < 0,025 za SDNN; 28,50 ± 13,71 : 35,22 ± 12,42 ms; p < 0,02 za RMS-SD; 77,26 ± 27,58 : 88,74 ± 30,58 ms; p < 0,05 za SDANN i 7,45 ± 8,63 : 11,07 ± 9,08 ms; p < 0,05 za NN > 50 ms). Takođe, bolesnici sa dijabetesom imali su značajno manje vrednosti LVEF (49,19 ± 8,01 : 52,84 ± 11,24 %; p < 0,05), a značajno veće vrednosti LVESd (39,39 ± 4,82 : 37,03 ± 6,18 mm; p < 0,025), kao i veći stepen dijastolne disfunkcije leve komore u odnosu na one bez dijabetesa (0,82 ± 0,18 : 0,91 ± 0,21; p < 0,02 za odnos E/A i 183,52 ± 47,29 : 214,32 ± 46,15; p < 0,005 za Dt). Studija je pokazala da postoji značajna pozitivna korelacija vrednosti SDNN i SDANN sa LVEF (r = 0,510; p < 0,01 za SDNN i r = 0,569; p < 0,01 za SDANN), a značajna negativna korelacija sa LVESd (r = 0,361; p < 0,05 za SDNN i r = 0,364; p < 0,05 za SDANN), dok sa LVEDd korelacija nije dostigla nivo značajnosti, kod bolesnika sa preživelim infarktom miokarda i dijabetesom. Vrednosti parametara RMS-SD i NN > 50 ms nisu značajno korelisale sa LVEF i unutrašnjim dimenzijama leve komore kod bolesnika sa preživelim infarktom miokarda i dijabetesom. Studija je pokazala da bolesnici sa preživelim infarktom mikarda i dijabetesom imaju značajno manje vrednosti parametara varijabilnosti frekvencije srčanog rada i vrednosti LVEF, značajno veće vrednosti LVESd, kao i značajno veći stepen dijastolne disfunkcije leve komore, u odnosu na one bez dijabetesa. Postoji značajna pozitivna korelacija parametara SDNN i SDANN sa LVEF, a značajna negativna korelacija sa LVESd u bolesnika sa preživelim infarktom mikarda i dijabetesom. Ključne reči: Varijabilnosti frekvencije srčanog rada, funkcija leve komore, infarkt miokarda, dijabetes melitus