Impact of Admission Blood Glucose on Coronary Collateral Flow in Patients with ST-Elevation Myocardial Infarction.
In patients with acute myocardial infarction (MI), glucose metabolism is altered and acute hyperglycemia on admission is common regardless of diabetes status [1, 2]. Among patients without a history of diabetes, admission hyperglycemia (AH) may be resulting from previously undiagnosed diabetes mellitus or glucose intolerance, stress response mediated by cortisol and noradrenaline, or combination of these [3, 4]. Several studies have demonstrated that AH is independently associated with increased mortality after MI, regardless of treatment modality [5-7]. It has also been reported that nondiabetic patients with MI and AH have higher rates of heart failure, cardiogenic shock, and ventricular tachycardia [8-11].
Formation of coronary collateral vessels is an adaptive response secondary to myocardial ischemia in the presence of significant stenosis or total occlusion. It can provide an alternative source of blood supply to a myocardial area jeopardized by ischemia. It has been reported that poor collateral development is associated with larger infarct size, increased mortality, higher rates of ventricular aneurysm, and arrhythmia [12-16]. Poor collateral development despite significant stenosis suggests that multiple factors affect collateral circulation besides coronary artery disease severity.
The aim of this study was to evaluate the association between admission glucose and coronary collateral development in patients with ST-elevation myocardial infarction (STEMI).
This is a retrospective study. It was approved by the local ethics committee. Between January 2016 and January 2017, 190 patients with a diagnosis of first STEMI who were admitted to our institution were enrolled in this study. STEMI was diagnosed as typical chest pain lasting 30 minutes or more and ST segment elevation of 1 mm or more in at least two contiguous leads or 2 mm or more in leads V1 through V3 on the electrocardiography (ECG). Patients with complete LBBB on admission ECG were excluded. Demographic and clinical data including age, gender, prevalence of DM, hypertension, dyslipidemia, smoking history, and type of myocardial infarction were obtained from all patients. All patients underwent coronary angiography within 12 hours of onset of chest pain for primary percutaneous coronary intervention and received recommended standard management for STEMI. The admission plasma glucose concentrations from blood samples drawn on arrival in the emergency room were recorded. Exclusion criteria were as follows: STEMI > 12 hours from onset of chest pain, previous coronary revascularization history, history of malignancy or inflammatory disease, evidence of infectious disease, severe hepatic or renal insufficiency, and receiving steroids. None of the patients were receiving long-acting nitrates or intravenous nitrate infusion before angiography. Also, patients with incomplete data or without available glucose at admission were excluded.
2.1. Definitions. The assessed clinical parameters were age, gender, and coronary risk factors. Hypertension was defined as systolic blood pressure [greater than or equal to] 140 mmHg and/or diastolic blood pressure [greater than or equal to] 90 mmHg and/or current medication with antihypertensive drugs. Patients were defined as diabetic if they had been informed of this diagnosis before and had been using oral antidiabetic drugs or insulin treatment on admission. Hyperlipidemia was defined as serum total cholesterol > 200 mg/dl or serum triglyceride > 150 mg/dl or previously diagnosed and treated hypercholesterolemia. Body mass index (BMI) was calculated as body weight in kilograms divided by the squared value of body height in meters (kg/[m.sup.2]).
2.2. Angiographic Procedure and Coronary Collateral Grading. Coronary angiography was performed via the femoral artery for all patients using the Judkins technique within 12 hours of the onset of the chest pain. Infarct related artery (IRA), coronary stenosis, and collateral grading were estimated by two independent cardiologists who were blinded to the clinical information and laboratory parameters of the patients. IRA was totally occluded in all patients. Patients with single-vessel disease had only occlusion in IRA. Patients with two- and three-vessel diseases had occlusion in IRA and [greater than or equal to] 70% stenosis in other epicardial vessels. Coronary collateral development was graded according to Rentrop classification: 0 = no filling of any collateral vessel; 1 = filling of the side branches of the artery to be perfused by collateral vessels without visualization of the epicardial segment; 2 = partial filling of the distal epicardial segment by collateral vessels; and 3 = complete filling of the distal epicardial segment by collateral vessels. Rentrop 0-1 was graded as poor collateral development, and Rentrop 2-3 was graded as good collateral development .
2.3. Statistical Analysis. Continuous variables were expressed as mean [+ or -] SD; categorical variables were defined as numbers and percentages. Student's t-test was used to compare continuous variables. Differences in the distribution of categorical variables were assessed by chi-square analysis. First, univariate analysis was performed. Subsequently, multivariate regression analysis was performed to determine independent predictors of coronary collateral development. Variables with a p value of <0.25 on univariate analysis were included in multivariate logistic regression analysis. A p value of <0.05 was considered statistically significant.
The mean admission glucose level was 173.0 [+ or -] 80.1 mg/dl in all study population. The mean admission glucose level was 148.3 [+ or -] 52.0 mg/dl in nondiabetic patients and 238.6 [+ or -] 102.4 mg/dl in diabetic patients (p < 0.001). Forty-five (23.7%) patients had good collateral development and 145 (76.3%) patients had poor collateral development. The two groups did not differ for age, male gender, diabetes mellitus (DM), hyperlipidemia, hypertension, body mass index, smoking history, and chest pain to angiography time. The demographic and laboratory characteristics of the groups are shown in Table 1. Three-vessel disease, nonanterior myocardial infarction, and preinfarction angina were more common in patients with good collateral development (p = 0.026, p = 0.036, and p = 0.041, resp.). The mean low-density lipoprotein level was higher in poor collateral group than in good collateral group. There was no difference between two groups in terms of ejection fraction (p = 0.476). The mean admission glucose level was higher in patients with poor collateral than in good collateral (180.6 [+ or -] 84.9 mg/dl versus 148.7 [+ or -] 56.6 mg/dl, resp., p = 0.008). In univariate analysis, higher admission glucose was associated with poor collateral development, but multivariate logistic regression analysis revealed a borderline result (odds ratio 0.994, 95% CI 0.989-1.000, p = 0.049). Multivessel disease and preinfarction angina were associated with good collateral development in multivariate analysis (odds ratio 0.910, 95% CI 0.754-0.989, p = 0.037 and odds ratio 0.932, 95% CI 0.816-0.985, p = 0.043) (Table 2).
In our study, we investigated whether admission glucose is related to collateral development in STEMI patients. We found that the admission glucose was higher in patients with poor collateral vessels than with good collateral vessels.
Regardless of diabetes status, hyperglycemia is a common finding during the admission of patients with acute MI. The increased release of stress hormones during the first hours of acute MI leads to inhibition of insulin secretion and increased insulin resistance, thus inducing stress hyperglycemia . However, among patients with no history of DM, hyperglycemia at admission may reflect previously undiagnosed DM or impaired glucose tolerance .
It has been reported that AH is associated with an increased risk of in-hospital mortality and worse long-term prognosis in patients with acute MI [18-20]. It has also been reported that AH is associated with increased incidence of heart failure, larger infarct size, and impaired predischarge left ventricle ejection fraction in acute MI patients . But, the mechanisms underlying these associations are not fully understood, and whether hyperglycemia is causally related to adverse events after acute MI is unclear.
A well-developed coronary collateral limits ischemia, reduces the size of myocardial infarction, preserves left ventricle function, and has a favourable impact on the prognosis of patients with coronary artery
disease [13, 21]. But, there is notable variation in the degree of coronary collateral development between patients with coronary artery disease. Whether acute hyperglycemia affects myocardial tissue and so mortality in acute MI patients via the collateral development remains a matter of debate.
The influence of DM on coronary collateral development has been studied, and the results of these studies have been conflicting. Some studies suggested that coronary collateral development was reduced in patients with DM [22, 23]; however, such a difference was not reported by others [24,25].
Limited data are available on the effect of acute hyperglycemia on coronary collateral development. In an animal study, to produce acute hyperglycemia, dogs received intravenous 15% dextrose in water to increase blood glucose concentrations to 200, 400, and 600mg/dl. Retrograde collateral blood flow was measured at each glucose level. Mild hyperglycemia (200mg/dl) alone had no effect on retrograde flow, but moderate (400 mg/dl) and profound (600 mg/dl) hyperglycemia produced reductions in collateral flow and addition of L-arginine prevented decreases in collateral flow during hyperglycemia . It was suggested that hyperglycemia impairs the nitric oxide- (NO-) mediated regulation of coronary collateral flow. In another study, it was found that the presence of blood glucose level > 350 mg/dl for 21 days abolishes development of coronary collateral vessels in dogs .
The exact duration and severity of hyperglycemia that inhibits collateral formation and the underlying precise mechanism is not clear. NO is essential for collateral formation . In a study by Fujita et al., administering glyceryl trinitrate to the dogs with newly developed collaterals increased collateral blood flow during a transient period of coronary occlusion . It was shown that hyperglycemia, whether acute or chronic, impairs NO availability and endothelium-dependent vasodilation and enhances the production of endothelial-derived vasoconstrictor prostanoids [30, 31]. Also, experimental studies have shown that acute glucose fluctuations increase oxidative stress and circulating cytokines . It can be speculated that excessive oxidative stress and inflammation during acute hyperglycemia may result in decreased collateral formation. Collateral development is a multifactorial process, and all these abovementioned mechanisms may play a role in collateral formation in the course of AH.
In conclusion, our results suggest that blood glucose on admission may have a role in the coronary collateral development in acute MI patients. But, further studies are required to validate our results and clarify whether impaired collateral development may represent a mechanism for the increased morbidity and mortality in patients with coexisting acute MI and AH.
6. Study Limitations
Several limitations of the present study should be mentioned. Effects of all potential confounding factors on collateral development cannot be controlled because of the retrospective design of the study. Also, angiographically visible collaterals represent only a fraction of the total collateral vessel amount. Although the chest pain to angiography time was the same in both good collateral and poor collateral groups, complete collateral development may take several weeks. All infarct-related arteries were totally occluded, but we do not know the degree of stenosis in IRA before the index event, and severe stenosis in IRA may cause previously formed collateral vessels. Finally, this is an observational study; thus, the present study does not provide a cause-and-effect explanation for the impaired collateral development that was associated with admission hyperglycemia.
The abstract of this study was presented in the 13th International Congress of Update in Cardiology and Cardiovascular Surgery and published as an abstract in the American Journal of Cardiology .
Conflicts of Interest
The authors declare that there are no conflicts of interest.
 A. Norhammar, A. Tenerz, G. Nilsson et al., "Glucose metabolism in patients with acute myocardial infarction and no previous diagnosis of diabetes mellitus: a prospective study," The Lancet, vol. 359, pp. 2140-2144, 2002.
 F. R. Modenesi, F. M. Pena, C. A. Faria et al., "Influence on prognosis and prevalence of stress hyperglycemia in a cohort of patients with acute coronary syndrome," Revista Brasileira de Terapia Intensiva, vol. 24, no. 4, pp. 352-3566, 2012.
 S. E. Capes, D. Hunt, K. Malmberg et al., "Stress hyperglycaemia and increased risk of death after myocardial infarction in patients with and without diabetes: a systematic overview," The Lancet, vol. 355, no. 9206, pp. 773-778, 2000.
 P. E. Marik and R. Bellomo, "Stress hyperglycemia: an essential survival response!," Critical Care Medicine, vol. 41, pp. 93-94, 2013.
 M. Ishihara, S. Kojima, T. Sakamoto et al., "Acute hyperglycemia is associated with adverse outcome after acute myocardial infarction in the coronary intervention era," American Heart Journal, vol. 150, no. 4, pp. 814-820, 2005.
 L. P. Hoebers, P. Damman, B. E. Claessen et al., "Predictive value of plasma glucose level on admission for short and long term mortality in patients with ST-elevation myocardial infarction treated with primary percutaneous coronary intervention," American Journal of Cardiology, vol. 109, no. 1, pp. 53-59, 2012.
 N. N. Wahab, E. A. Cowden, N. J. Pearce et al., "ICONS investigators. Is blood glucose an independent predictor of mortality in acute myocardial infarction in the thrombolytic era?," Journal of the American College of Cardiology, vol. 40, no. 10, pp. 1748-1754, 2002.
 M. Ishihara, I. Inoue, T. Kawagoe et al., "Impact of acute hyperglycemia on left ventricular function after reperfusion therapy in patients with a first anterior wall acute myocardial infarction," American Heart Journal, vol. 146, no. 4, pp. 674-678, 2003.
 A. A. Mansour and H. L. Wanoose, "Acute phase hyperglycemia among patients hospitalized with acute coronary syndrome: prevalence and prognostic significance," Oman Medical Journal, vol. 26, no. 2, pp. 85-90, 2011.
 J. Leor, U. Goldbourt, H. Reicher-Reiss, E. Kaplinsky, and S. Behar, "Cardiogenic shock complicating acute myocardial infarction in patients without heart failure on admission: incidence, risk factors, and outcome. SPRINT Study Group," American Journal of Medicine, vol. 94, no. 3, pp. 265-273, 1993.
 R. Sanjuan, J. Nunez, M. L. Blasco et al., "Prognostic implications of stress hyperglycemia in acute ST elevation myocardial infarction. Prospective observational study," Revista Espanola de Cardiologia, vol. 64, no. 3, pp. 201-207, 2011.
 E. K. Kim, J. H. Choi, Y. B. Song et al., "A protective role of early collateral blood flow in patients with ST-segment elevation myocardial infarction," American Heart Journal, vol. 171, no. 1, pp. 56-63, 2016.
 M. Hara, Y. Sakata, D. Nakatani et al., "OACIS investigators. Impact of coronary collaterals on in-hospital and 5-year mortality after ST-elevation myocardial infarction in the contemporary percutaneous coronary intervention era: a prospective observational study," BMJ Open, vol. 6, no. 7, p. 011105, 2016.
 C. Seiler and P. Meier, "Historical aspects and relevance of the human coronary collateral circulation," Current Cardiology Reviews, vol. 10, pp. 2-16, 2014.
 H. Gungor, U. Eryilmaz, C. Akgullu et al., "Preoperative poor coronary collateral circulation can predict the development of atrial fibrillation after coronary artery bypass graft surgery," Coronary Artery Disease, vol. 24, no. 7, pp. 572-576, 2013.
 P. Meier, S. Gloekler, S. F. de Marchi et al., "An indicator of sudden cardiac death during brief coronary occlusion: electrocardiogram QT time and the role of collaterals," European Heart Journal, vol. 31, no. 10, pp. 1197-1204, 2010.
 K. P. Rentrop, M. Cohen, H. Blanke, and R. A. Phillips, "Changes in collateral channel filling immediately after controlled coronary artery occlusion by an angioplasty balloon in human subjects," Journal of the American College of Cardiology, vol. 5, no. 3, pp. 587-592, 1985.
 T. S. Garadah, S. Kassab, Q. M. Al-Shboul, and A. Alawadi, "The threshold of admission glycemia as a predictor of adverse events in diabetic and non-diabetic patients with acute coronary syndrome," Clinical Medicine. Cardiology, vol. 3, pp. 29-36, 2009.
 J. W. Zhang, Y. J. Zhou, S. J. Cao, Q. Yang, S.-W. Yang, and B. Nie, "Impact of stress hyperglycemia on in-hospital stent thrombosis and prognosis in nondiabetic patients with ST-segment elevation myocardial infarction undergoing a primary percutaneous coronary intervention," Coronary Artery Disease, vol. 24, no. 5, pp. 352-356, 2013.
 G. Lazaros, D. Tsiachris, C. Vlachopoulos et al., "Distinct association of admission hyperglycemia with one-year adverse outcome in diabetic and non-diabetic patients with acute ST-elevation myocardial infarction," Hellenic Journal of Cardiology, vol. 54, pp. 119-125, 2013.
 G. B. Habib, J. Heibig, S. A. Forman et al., "Influence of coronary collateral vessels on myocardial infarct size in humans. Results of phase I thrombolysis in myocardial infarction (TIMI) trial. The TIMI investigators," Circulation, vol. 83, no. 3, pp. 739-746, 1991.
 A. Abaci, A. Oguzhan, S. Kahraman et al., "Effect of diabetes mellitus on formation of coronary collateral vessels," Circulation, vol. 99, no. 17, pp. 2239-2242, 1999.
 E. Yetkin, E. Topal, N. Erguzel et al., "Diabetes mellitus and female gender are the strongest predictors of poor collateral vessel development in patients with severe coronary artery stenosis," Angiogenesis, vol. 18, no. 2, pp. 201-207, 2015.
 R. Zbinden, S. Zbinden, M. Billinger et al., "Influence of diabetes mellitus on coronary collateral flow: an answer to an old controversy," Heart, vol. 91, no. 10, pp. 1289-1293, 2005.
 G. S. Werner, B. M. Richartz, S. Heinke et al., "Impaired acute collateral recruitment as a possible mechanism for increased cardiac adverse events in patients with diabetes mellitus," European Heart Journal, vol. 24, no. 12, pp. 1134-1142, 2003.
 J. R. Kersten, W. G. Toller, J. P. Tessmer et al., "Hyperglycemia reduces coronary collateral blood flow through a nitric oxide-mediated mechanism," American Journal of Physiology-Heart and Circulatory Physiology, vol. 281, no. 5, pp. 2097-2104, 2001.
 D. Weihrauch, N. L. Lohr, B. Mraovic et al., "Chronic hyperglycemia attenuates coronary collateral development and impairs proliferative properties of myocardial interstitial fluid by production of angiostatin," Circulation, vol. 109, no. 19, pp. 2343-2348, 2004.
 T. Matsunaga, D. C. Warltier, D. W. Weihrauch, M. Moniz, J. Tessmer, and W. M. Chilian, "Ischemia-induced coronary collateral growth is dependent on vascular endothelial growth factor and nitric oxide," Circulation, vol. 102, no. 25, pp. 3098-3103, 2000.
 M. Fujita, D. P. McKown, M. D. McKown, and D. Franklin, "Effects of glyceryl trinitrate on functionally regressed newly developed collateral vessels in conscious dogs," Cardiovascular Research, vol. 22, no. 9, pp. 639-647, 1988.
 S. B. Williams, A. B. Goldfine, F. K. Timimi et al., "Acute hyperglycemia attenuates endothelium-dependent vasodilation in humans in vivo," Circulation, vol. 97, no. 17, pp. 1695-1701, 1998.
 B. Tesfamariam, M. L. Brown, D. Deykin, and R. A. Cohen, "Elevated glucose promotes generation of endothelium-derived vasoconstrictor prostanoids in rabbit aorta," Journal of Clinical Investigation, vol. 85, no. 3, pp. 929-932, 1990.
 K. Esposito, F. Nappo, R. Marfella et al., "Inflammatory cytokine concentrations are acutely increased by hyperglycemia in humans: role of oxidative stress," Circulation, vol. 106, no. 16, pp. 2067-2072, 2002.
 O. Kurmus, S. Baglan, S. Karaarslan et al., "Association between admission glucose and coronary collateral flow in ST-elevation myocardial infarction patients," American Journal of Cardiology, vol. 119, no. 8, pp. e32-e33, 2017.
Ozge Kurmus [ID], Turgay Aslan, Berkay Ekici, Sezen Baglan Uzunget, Sukru Karaarslan, Asli Tanindi, Aycan Fahri Erkan, Ebru Akgul Ercan, and Celal Kervanc?oglu
Department of Cardiology, Ufuk University Faculty of Medicine, Ankara, Turkey
Correspondence should be addressed to Ozge Kurmus; email@example.com
Received 9 October 2017; Accepted 31 December 2017; Published 12 March 2018
Academic Editor: Michael S. Wolin
Table 1: Clinical and laboratory characteristics among poor collateral and good collateral groups. All patients Variables (n = 190) Age (years) 61.64 [+ or -] 12.2 Men (%) 73.7 Diabetes mellitus (%) 27.4 Hypertension (%) 47.4 Any smoking history (%) 46.8 Dyslipidemia (%) 53.7 Body mass index (kg/[m.sup.2]) 21.4 Mean ejection fraction (%) 42.3 [+ or -] 8.6 Anterior MI (%) 43.7 Three-vessel disease (%) 23.2 Chest pain to angiography time (min) 282 [+ or -] 192 Preinfarction angina (%) 45.2 Mean admission glucose (mg/dl) 173.0 [+ or -] 80.1 Mean heamoglobin (g/dl) 13.8 [+ or -] 1.8 Mean white blood cell count 11604.8 [+ or -] 5091.3 Mean platelet count 244.0 [+ or -] 64.1 Mean total cholesterol level (mg/dl) 192.2 [+ or -] 51.1 Mean low-density lipoprotein level (mg/dl) 125.5 [+ or -] 33.6 Mean high-density lipoprotein level (mg/dl) 40.6 [+ or -] 10.0 Mean triglyceride level (mg/dl) 134.7 [+ or -] 103.9 Mean creatinine (mg/dl) 0.97 [+ or -] 0.2 Good collateral Variables (n = 45) Age (years) 60.4 [+ or -] 13.3 Men (%) 68.9 Diabetes mellitus (%) 26.7 Hypertension (%) 40.0 Any smoking history (%) 42.2 Dyslipidemia (%) 48.9 Body mass index (kg/[m.sup.2]) 21.3 [+ or -] 3.2 Mean ejection fraction (%) 43.2 [+ or -] 8.3 Anterior MI (%) 33.3 Three-vessel disease (%) 37.8 Chest pain to angiography time (min) 286 [+ or -] 205 Preinfarction angina (%) 53.3 Mean admission glucose (mg/dl) 148.7 [+ or -] 56.6 Mean heamoglobin (g/dl) 13.6 [+ or -] 1.8 Mean white blood cell count 11037.1 [+ or -] 4439.1 Mean platelet count 248.22 [+ or -] 61.65 Mean total cholesterol level (mg/dl) 178.0 [+ or -] 42.5 Mean low-density lipoprotein level (mg/dl) 117.7 [+ or -] 27.8 Mean high-density lipoprotein level (mg/dl) 41.0 [+ or -] 10.1 Mean triglyceride level (mg/dl) 120.1 [+ or -] 99.8 Mean creatinine (mg/dl) 0.96 [+ or -] 0.2 Poor collateral Variables (n = 145) Age (years) 61.9 [+ or -] 11.9 Men (%) 75.2 Diabetes mellitus (%) 27.6 Hypertension (%) 49.7 Any smoking history (%) 48.3 Dyslipidemia (%) 55.2 Body mass index (kg/[m.sup.2]) 21.5 [+ or -] 3.9 Mean ejection fraction (%) 41.4 [+ or -] 9.1 Anterior MI (%) 46.9 Three-vessel disease (%) 18.6 Chest pain to angiography time (min) 281 [+ or -] 198 Preinfarction angina (%) 42.7 Mean admission glucose (mg/dl) 180.6 [+ or -] 84.9 Mean heamoglobin (g/dl) 13.9 [+ or -] 1.8 Mean white blood cell count 11780.9 [+ or -] 5279.1 Mean platelet count 242.80 [+ or -] 65.01 Mean total cholesterol level (mg/dl) 196.6 [+ or -] 52.8 Mean low-density lipoprotein level (mg/dl) 127.9 [+ or -] 34.4 Mean high-density lipoprotein level (mg/dl) 39.3 [+ or -] 9.5 Mean triglyceride level (mg/dl) 139.2 [+ or -] 105.0 Mean creatinine (mg/dl) 0.98 [+ or -] 0.2 Variables p value Age (years) 0.473 Men (%) 0.403 Diabetes mellitus (%) 0.904 Hypertension (%) 0.257 Any smoking history (%) 0.477 Dyslipidemia (%) 0.460 Body mass index (kg/[m.sup.2]) 0.177 Mean ejection fraction (%) 0.476 Anterior MI (%) 0.036 Three-vessel disease (%) 0.026 Chest pain to angiography time (min) 0.751 Preinfarction angina (%) 0.041 Mean admission glucose (mg/dl) 0.008 Mean heamoglobin (g/dl) 0.234 Mean white blood cell count 0.440 Mean platelet count 0.621 Mean total cholesterol level (mg/dl) 0.354 Mean low-density lipoprotein level (mg/dl) 0.046 Mean high-density lipoprotein level (mg/dl) 0.312 Mean triglyceride level (mg/dl) 0.718 Mean creatinine (mg/dl) 0.692 Table 2: Multivariate analysis: predictors of poor collateral development in all patients. Odds 95% confidence Predictor ratio interval p value Admission glucose 0.994 0.989-1.000 0.049 Low-density lipoprotein 0.996 0.976-1.015 0.659 Total cholestrol 0.996 0.981-1.010 0.545 Ejection fraction 0.987 0.899-1.097 0.321 Multivessel disease 0.910 0.754-0.989 0.037 Preinfarction angina 0.932 0.816-0.985 0.043 A covariate was allowed in the model when, on univariate analysis, its p value was <0.25.
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|Title Annotation:||Research Article|
|Author:||Kurmus, Ozge; Aslan, Turgay; Ekici, Berkay; Uzunget, Sezen Baglan; Karaarslan, Sukru; Tanindi, Asli;|
|Publication:||Cardiology Research and Practice|
|Date:||Jan 1, 2018|
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