Long-Term Anabolic Androgenic Steroid Use Is Associated with Increased Atrial Electromechanical Delay in Male Bodybuilders

Akçakoyun, Mustafa; Alizade, Elnur; Gündoğdu, Recep; Bulut, Mustafa; Tabakcı, Mehmet Mustafa; Açar, Göksel; Avcı, Anıl; Şimşek, Zeki; Fidan, Serdar; Demir, Serdar; Kargın, Ramazan; Emiroğlu, Mehmet Yunus

doi:https://doi.org/10.1155/2014/451520

BioMed Research International

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Research Article | Open Access

Volume 2014 | Article ID 451520 | https://doi.org/10.1155/2014/451520

Long-Term Anabolic Androgenic Steroid Use Is Associated with Increased Atrial Electromechanical Delay in Male Bodybuilders

Mustafa Akçakoyun,¹Elnur Alizade,¹Recep Gündoğdu,²Mustafa Bulut,¹Mehmet Mustafa Tabakcı,¹Göksel Açar,¹Anıl Avcı,¹Zeki Şimşek,³Serdar Fidan,¹Serdar Demir,¹Ramazan Kargın,¹and Mehmet Yunus Emiroğlu¹

Academic Editor: Ken-ichi Aihara

Received26 Feb 2014

Accepted14 Apr 2014

Published04 May 2014

Abstract

We investigated the effect of long-term supraphysiologic doses of anabolic androgenic steroids (AAS) on atrial electromechanical delay (AEMD) in male bodybuilders. We clearly demonstrated that long-term consumption of supraphysiologic doses of AAS is associated with higher values of inter- and intra-AEMD in healthy young bodybuilders.

1. Introduction

Self-administration of high doses of anabolic androgenic steroids (AAS) is a widespread practice among athletes to increase lean body mass and muscular strength. Long-term illicit use of supraphysiologic doses of AAS may cause several adverse cardiovascular effects [1–4]. Recent studies have found pathological left ventricular (LV) hypertrophy, diastolic dysfunction, and subclinical LV systolic impairment in long-term AAS users [4–7]. In addition, ventricular and atrial arrhythmic events were described secondary to the intake of AAS. Atrial fibrillation (AF) is the most frequently observed arrhythmia in bodybuilders who are using AAS [8]. Moreover, various case reports of AF among AAS users suggest a causal link between AAS use and AF in power athletes [8–11]. However, the mechanisms underlying such predispositions to AF are poorly understood and also it is not clear that AAS using athletes are more prone to atrial rhythm disturbances than non-AAS users.

The prolongation of intra-atrial and interatrial conduction times and the inhomogeneous propagation of sinus impulses are typical electrophysiological features of the atrium which is prone to fibrillate [12, 13]. Moreover, atrial electromechanical delay (AEMD) as measured by tissue Doppler imaging (TDI) has been shown to detect atrial impairment in paroxysmal AF [13, 14]. Another important point is that AEMD may also predict the development of new-onset AF [15]. Since AF is a reentrant arrhythmia, it is logical that the triggering factor generally is a critically timed atrial activation that may give rise to reentry in a vulnerable structure [16]. Atrial and ventricular structural alteration, increased atrial stretch, autonomic imbalance, atrial interstitial fibrosis, inflammation, and ischemia may act in this respect as an internal or external factor by modulating atrial refractoriness through both atria and modifying intra-atrial conduction [17–19]. Because these factors are effected by long-term use of supraphysiologic doses of AAS [10, 20, 21], there might be an association between AAS use and AEMD. Changes in inter-AEMD and intra-AEMD in the AAS using athletes have not been investigated previously. Therefore, we attempted to investigate atrial conduction abnormalities in AAS using athletes and to compare those of non-AAS users by using electromechanical coupling interval and TDI.

2. Methods

2.1. Study Population

We selected a population of 33 competitive bodybuilders, including 15 who actively used AAS for 2 years (users) and 18 who had never used AAS (nonusers), all men. Written informed consent was obtained from each subject, and the study was approved by the appropriate institutional ethics review committee. Exclusion criteria were presence of coronary artery disease, valvular or congenital heart disease, hypertension, congestive heart failure, diabetes mellitus, sinus tachycardia, psychiatric, respiratory, or metabolic disorders, inadequate echocardiographic quality, and smoking habit.

2.1.1. Training Protocols

All participants had trained intensively for 10–15 h/wk for 5 years. AAS users and nonusers had started bodybuilding at approximately the same age ( versus years, resp., ) and completed the same anaerobic isometric static exercises ( versus h/wk, ). Maximum self-reported one-repetition squat results were significantly greater among AAS users ( versus kg, ; Table 1).

2.1.2. AAS Abuse

An anonymous, self-administered questionnaire was used to investigate each athlete’s clinical (diseases and medication) and drug intake history (type and timing of steroid use and other performance-enhancing drugs). Additionally, urine testing was performed by high-performance liquid chromatography coupled to mass spectrometry to confirm or exclude any recent consumption of anabolic steroids. Each AAS user admitted the current use of multiple AAS administered by intramuscular injection and/or orally. The orally self-administered drugs were oxymetholone and stanozolol, and the injectable steroids were nandrolone, stanozolol, and testosterone propionate. The mean duration of AAS use was years (range, 4–20 years). The mean weekly dosage of AAS was mg.

2.1.3. Physical Examination and Laboratory Tests

All subjects were examined on an empty stomach. Height, weight, body mass index (BMI) (kg/m²), body surface area (BSA) (m²), heart rate, and blood pressure were measured. Venous blood samples were drawn from each subject, always in the afternoon between 1 and 2 PM, to evaluate serum hormone levels (testosterone, luteinizing hormone, follicle-stimulating hormone, insulin, T3, and T4), hematology (hematocrit, hemoglobin), and blood lipids (total cholesterol, high-density lipoprotein).

2.2. Echocardiographic Measurements

Echocardiography was performed in left lateral decubitus position with an ultrasound machine GE-Vingmed Vivid 7 system (Vivid system 7, GE-Vingmed Ultrasound AS, Horten, Norway) and 3S-RS (3.5 MHz) probe. Examinations were performed by a cardiologist who was blinded to the clinical details of each subject. Single-lead ECG was recorded continuously during the echocardiographic examination. Two-dimensional, M-mode and tissue Doppler images were acquired from the parasternal long and short axis and apical four-chamber views at end-expiratory apnea and were transferred to customized dedicated software package (EchoPAC, General Electric Vingmed Ultrasound) for offline analysis of stored data. All measurements were averaged from three cardiac cycles. 2D echocardiographic measurements were performed according to standards outlined by the American Society of Echocardiography [22]. Left atrium (LA), LV dimensions, and wall thickness were obtained from the parasternal long axis with an M-mode cursor positioned just beyond the mitral leaflet tips, perpendicular to the long axis of the ventricle. LV end-diastolic diameter (LVEDD) and end-systolic (LVESD) diameter, thickness of the interventricular septum (IVS), and posterior wall of the left ventricle (PW) were measured. LV ejection fraction was calculated according to the Simpson method [22]. For determination of LVM, the Devereux formula was used: LVM (g), 0.8 (1.04 ([LVIDD + PWTD + IVSTD]³ − [LVIDD]³)) + 0,6 (LVID indicates LV internal dimension; PWT, PW thickness; IVST, IVS thickness) [23]. Left ventricular mass index was calculated by dividing LVM by body surface area. LV hypertrophy was defined as an LV mass index 115 g/m² in men, as recommended by the ASE and the EAE. The calculation of relative wall thickness (RWT) was performed using the formula (2 PW)/LV internal dimension [22]. LA areas and volumes were measured in the apical four-chamber and two-chamber views at ventricular end-systole (maximum LA size) and mean values of area and volume were obtained. LA mean volume was indexed to body surface area (BSA) [22]. Mitral inflow velocities were evaluated by pulsed-wave Doppler echocardiography with the sample volume placed at the tip of the mitral leaflets from the apical four-chamber view. Diastolic peak early () and peak late () transmittal flow velocity, peak to peak velocities (), and isovolumic relaxation time (IVRT) were measured [24].

TDI was performed in the apical four-chamber view using a 5 mm pulsed Doppler sample volume with as minimum optimal gain as possible to obtain the best signal-to-noise ratio. Care was taken to align the echo image so that the annular motion was parallel to the TDI cursor. Spectral pulsed-wave Doppler signal filters were adjusted until a Nyquist limit of 15–20 cm/s was reached. The monitor sweep speed was set at 50–100 mm/s to optimize the spectral display of myocardial velocities. In apical 4-chamber view, the pulsed Doppler sample volume was subsequently placed at the level of LV lateral mitral annulus, septal mitral annulus, and right ventricular (RV) tricuspid annulus. The myocardial peak systolic () and early diastolic () velocity and late diastolic () velocity were obtained from the septum, the lateral wall of the left ventricle, and the annulus of the right ventricle. The Em global and Am global velocities were derived by averaging the velocities from the 2 mitral annular sites. Global / ratio and / ratio were calculated [25].

2.3. Atrial Electromechanical Delay

Atrial electromechanical delay (AEMD) was measured as the interval between the onset of the P wave on the electrocardiogram and the beginning of late diastolic Am wave at the lateral mitral annulus (PA (atrial electromechanical coupling) lateral), septal mitral annulus (PA septum), and RV tricuspid annulus (PA tricuspid). Values were averaged over three consecutive beats. The difference between PA lateral and PA tricuspid (PA lateral, PA tricuspid) was defined as inter- AEMD and the difference between PA septum and PA lateral (PA septum, PA lateral) was defined as intra-AEMD [26] (Figure 1). In AEMD measurements, intraobserver variability was assessed in 20 selected subjects at random from the patient study group by repeating the measurements under the same basal conditions. To test the interobserver variability, we performed the measurements offline from video recordings by a second observer. The intraobserver and interobserver variability for TDI calculated from 20 consecutive patients were 5.7% and 4.7% for PA lateral, 5.6% and 4.8% for PA septum, and 5.7% and 5.3% for PA tricuspid, respectively.

2.4. Statistical Analysis

Continuous variables are expressed as mean standard deviation and categorical data are expressed as percentages. Statistical comparison of quantitative data was performed by unpaired -test. The correlation analyses between continuous variables were performed by Pearson’s correlation analysis. Multiple regression analysis was used to identify significant predictors of inter- and intra-AMED. Thus, all predetermined independent variables that correlated with a value of less than 0.05 in the Pearson correlation analysis were inserted into a stepwise, multiple regression analysis. A value of 0.05 was considered statistically significant. All statistical studies were carried out with the SPSS program (version 16.0, SPSS Inc., Chicago, IL, USA).

3. Results

3.1. Clinical Characteristics of the Study Population

The characteristics of the subjects are listed in Table 2. No differences between groups emerged from age, height, weight, BSA, blood pressure, or heart rate. However, AAS users had higher body mass indexes compared with AAS nonusers.

3.2. Echocardiographic Analysis

Table 3 shows the details of the echocardiographic analysis. LV mass index, interventricular septal thickness, LV posterior wall thickness, and relative diastolic wall thickness were significantly greater in AAS users than in nonusers and sedentary controls (). No significant differences were found in LA, LA volume index, LV end-systolic, end-diastolic dimensions, and LV ejection fraction among the groups.

Transmitral Doppler echocardiography data of LV diastolic function are listed in Table 2. No significant differences were found in peak and peak between AAS users and nonusers. However, drug-using bodybuilders exhibited longer isovolumetric relaxation times and lower ratio of than their drug-free counterparts.

When comparing the diastolic functions obtained by measuring the TDI velocities, lateral and septal were significantly lower in AAS users than in nonusers ( versus , ; versus , ; resp.), whereas lateral and septal were not a significant difference in AAS users compared to nonusers ( versus , ; versus , , resp.). Global and were significant difference in ASS users compared to nonusers ( versus , ; versus , , resp.).

3.3. Atrial Electromechanical Delay Parameters

Table 4 shows the atrial electromechanical intervals measured at the lateral, septal, and RV annulus by the tissue Doppler method. The PA lateral and PA septum were significantly higher in the AAS user than in nonusers ( versus , ; versus , , resp.). Interatrial and intra-atrial EMD values were significantly higher in the AAS using bodybuilders compared with those in the nonusers ( versus , ; versus , , resp.). There was a positive correlation between LV mass index and inter-AMED (, ) and intra-AMED (, ). There was also correlation between global , global , and inter-AMED (, ; , , resp., Table 5). The linear regression analysis revealed that AAS using was an independent predictor of only inter-AMED ().

4. Discussion

In this study, we used a novel noninvasive technique to show inter- and intra-AEMD by TDI. In our study, we found that inter-AEMD and intra-AEMD are significantly increased in AAS using bodybuilders compared with nonusers that are known to be related to various arrhythmias, especially AF. This is the first study evaluating inter- and intra-AEMD in AAS user and nonuser bodybuilder athletes.

Previous studies reported that long-term illicit use of supraphysiologic doses of AAS was associated with reduced LV diastolic functions (impaired relaxation and reduced compliance of LV), increased LV mass, LV/atrial hypertrophy, subclinical systolic impairment, increased myocardial stiffness and myocardial fibrosis, and altered cardiac autonomic system regulation [4–7, 20, 21, 27]. Furthermore, it has been reported that myocardial infarction, cardiomyopathy, sudden death, cardiovascular morbidity, and mortality have significantly increased in long-term AAS using bodybuilders more than nonusers [28]. In addition, arrhythmic events were described secondary to the long-term intake of AAS. Although AF is the most frequently observed arrhythmia, ventricular arrhythmias were also described [8–11, 29]. However, it is not clear that AAS using bodybuilders are more prone to rhythm disturbances compared with nonusers.

The prolongation of intra- and inter-AEMD and the inhomogeneous propagation of sinus impulses are well-known electrophysiologic characteristics of the atria which is prone to fibrillation [12, 13]. The evaluation of AEMD by using TDI has been studied in patients with rheumatic mitral stenosis, paroxysmal AF, acute sleep deprivation, and type I diabetes mellitus [26, 30–32]. Also, Roshanali and colleagues have found that atrial electromechanical interval is a predictor of AF emerging after coronary artery bypass grafting and demonstrated that the preoperative administration of amiodarone to patients having longer atrial electromechanical interval has decreased the postoperative atrial fibrillation incidence [33]. Furthermore, De Vos et al. showed that prolonged PA-TDI interval (indicator of AEMD) predicted the development of new-onset AF in their study, which included 249 patients [15]. In addition, prolonged AEMD in patients with paroxysmal AF was reported with TDI and pulsed-wave Doppler echocardiographic studies [14, 30]. In the present study, we found that inter- and intra-atrial AEMD were prolonged in AAS users compared with both nonusers.

There may be several mechanisms involved in increasing inter-AEMDs in chronic consumption of supraphysiologic doses of AAS. There are several studies that indicate impairment of LV diastolic function, which is known to play a role in the pathogenesis of AF [17, 34, 35], which was also found to be impaired in AAS using athletes [4–7]. When left ventricular diastolic dysfunction occurs, emptying of the left atrium is impaired as well. Following impaired left ventricular diastolic relaxation, there is increased atrial contribution to the mitral flow in the left ventricular diastolic flow, thus leading to atrial overstretching and enlargement [36]. The left atrium diameter is known to be correlated with cardiovascular events and is a risk factor for AF [37]. In this study, the left atrial diameters of the AAS user and nonuser groups were similar. However, the presence of left ventricular diastolic dysfunction in AAS user athletes is a controversial issue. Pearson et al. and De Piccoli et al. described an impaired diastolic function in weightlifters taking AAS when compared to AAS-free counterparts [38, 39]. Other authors did not find any difference in the diastolic function of strength athletes with or without AS abuse [40–42]. The studies mentioned above used two-dimensional echocardiography and Doppler measurements of transmitral blood flow to assess diastolic function. In our study this technique was not able to show an altered diastolic function in AAS users too. The discrepancies between these studies could be attributed to the duration and/or the intensity of the training programs, among the groups of AAS users included in these studies and AAS dosage [38, 42, 43]. We investigated the diastolic functions by using the tissue TDI method as well because the conventional Doppler method is load dependent and TDI constitutes a good index of LV relaxation properties. In previous studies, the and were demonstrated to be significantly correlated with the left ventricle end-diastolic pressure and diastolic dysfunctions [24, 44]. In our study, we found that ratio was significantly higher in AAS users than in nonusers. In addition, the ratio was significantly lower in AAS users than in nonusers. Also we found that IVRT prolonged in AAS using group, indicating the impartment of diastolic function. Furthermore, we found correlations between and and inter-AMED [; and ; , resp.] in our study. Therefore, we believe that this impairment in the diastolic function might be one of the reasons for the prolonged atrial conduction times in AAS using bodybuilders.

The other possible mechanism for increasing inter-AEMD and intra-AEMD in AAS using athletes is LV pathological hypertrophy. LV pathological hypertrophy induced by AAS appears to be generated by a direct action on cardiac androgen receptors, whose effects are directly proportional to the doses, time, and duration of drug administration [4]. In our study LV wall thickness and LV mass index were enlarged in AAS using athletes compared to nonusers. The presence of LV hypertrophy is an indicator of increased myocardial demand for oxygen and hence decreases coronary reserve. When coronary blood flow is fixed or reduced, there is a supply-demand mismatch, resulting in increased risk for ischemia. In such a scenario, a decrease in blood flow can be catastrophic to the already increased demand of the myocardial cells. Patients with LV pathological hypertrophy are at increased risk for ischemia, probably causing prolongation of inter- and intra-AEMD [34]. Yavuz et al. showed positive correlation between LV hypertrophy and atrial conduction delay in hypertensive patients [34]. Similarly, we found a positive correlation between LV mass index and inter- and intra-AMED in our study AMED [; and ; , resp.].

Probably adverse effects of AAS on the cardiovascular system are also due to direct toxicity on myocardial structure with increased collagen deposition, fibrosis, and altered microcirculation with intimal hyperplasia of the intramural coronary arteries resulting in chronic ischemic damage [21]. Vascular endothelial cells may be directly affected by AAS, which may result in vasospasm [21]. As the cause of these alterations, AAS may directly affect the atrium, causing heterogeneity in the atrial conduction [20, 21]. In our study, after the linear regression analysis, AAS using in bodybuilders was the independent predictor of the inter-AMED. Therefore, we speculated that long-term illicit use of supraphysiologic doses of AAS might directly affect atrial conduction time (inter-AMED). The last possible mechanism to increase AEMD may be sympathetic activation. It has been shown that chronic consumption of supraphysiologic doses of AAS induces cardiac autonomic imbalance by reduction in parasympathetic cardiac modulation and increase in sympathetic cardiac modulation [10]. Experimental studies showed that greater sympathetic activation leads to myocardial injury. Increased sympathetic activity may also trigger atrial arrhythmias [45]. Therefore, altered autonomic system regulation occurring secondary to the chronic consumption of supraphysiologic doses of AAS may be the other reason underlying the delayed interatrial electromechanical coupling intervals.

5. Study Limitations

Our study has several limitations. The most important limitations of our study are the small sample size and cross-sectional design of the study, in which we could not follow up the patients prospectively for future arrhythmic events. We did not observe any arrhythmias in the study population. Therefore, we do not know whether atrial electromechanical delay predicts atrial arrhythmias in chronic consumption of supraphysiologic doses of AAS user athletes. Further studies need to be conducted with a larger number of patients and a longer follow-up time in order to increase the accuracy of the results.

We were dealing with young individuals. Thus, the impact of AAS on AMED in older individuals is unknown. The same idea can be used for gender. There is no guarantee that the effects of AAS on atrial electromechanical delay in women are similar to those found in men. The information about the intake of steroids was self-reported, but it is difficult to assess this in an objective manner. It seems unlikely that the small differences in AAS intake could explain our results. Finally, training-related influences are also improbable as an explanation for the differences between the AAS users and nonusers in our study, as the training protocol was the same for all the athletes.

6. Conculusion

In conclusion, in this cross-sectional study, we clearly found that long-term consumption of supraphysiologic doses of AAS is associated with higher values of inter- and intra-AEMD in healthy young bodybuilders, which suggest that there might be a link between AAS use and atrial fibrillation development and/or recurrence. These findings may be markers of subclinical cardiac involvement in AAS using bodybuilders. Finally, this implication deserves further studies for clarifying the possible linkage between long-term consumption of supraphysiologic doses of AAS bodybuilders and atrial arrhythmias.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

References

G. Kanayama, J. I. Hudson, and H. G. Pope Jr., “Long-term psychiatric and medical consequences of anabolic-androgenic steroid abuse: a looming public health concern?” Drug and Alcohol Dependence, vol. 98, no. 1-2, pp. 1–12, 2008.
View at: Publisher Site | Google Scholar
M. Pärssinen and T. Seppälä, “Steroid use and long-term health risks in former athletes,” Sports Medicine, vol. 32, no. 2, pp. 83–94, 2002.
View at: Google Scholar
I. Thiblin and A. Petersson, “Pharmacoepidemiology of anabolic androgenic steroids: a review,” Fundamental and Clinical Pharmacology, vol. 19, no. 1, pp. 27–44, 2005.
View at: Publisher Site | Google Scholar
P. Vanberg and D. Atar, “Androgenic anabolic steroid abuse and the cardiovascular system,” Handbook of Experimental Pharmacology, vol. 195, pp. 411–457, 2010.
View at: Publisher Site | Google Scholar
A. D'Andrea, P. Caso, G. Salerno et al., “Left ventricular early myocardial dysfunction after chronic misuse of anabolic androgenic steroids: a Doppler myocardial and strain imaging analysis,” British Journal of Sports Medicine, vol. 41, no. 3, pp. 149–155, 2007.
View at: Publisher Site | Google Scholar
S. Nottin, L.-D. Nguyen, M. Terbah, and P. Obert, “Cardiovascular effects of androgenic anabolic steroids in male bodybuilders determined by tissue Doppler imaging,” American Journal of Cardiology, vol. 97, no. 6, pp. 912–915, 2006.
View at: Publisher Site | Google Scholar
A. Krieg, J. Scharhag, T. Albers, W. Kindermann, and A. Urhausen, “Cardiac tissue doppler in steroid users,” International Journal of Sports Medicine, vol. 28, no. 8, pp. 638–643, 2007.
View at: Publisher Site | Google Scholar
M. L. Sullivan, C. M. Martinez, and E. J. Gallagher, “Atrial fibrillation and anabolic steroids,” Journal of Emergency Medicine, vol. 17, no. 5, pp. 851–857, 1999.
View at: Publisher Site | Google Scholar
D. H. Lau, M. K. Stiles, B. John, S. Shashidhar, G. D. Young, and P. Sanders, “Atrial fibrillation and anabolic steroid abuse,” International Journal of Cardiology, vol. 117, no. 2, pp. e86–e87, 2007.
View at: Publisher Site | Google Scholar
P. P. Pereira-Junior, E. A. Chaves, R. H. Costa-e-Sousa, M. O. Masuda, A. C. Campos de Carvalho, and J. H. M. Nascimento, “Cardiac autonomic dysfunction in rats chronically treated with anabolic steroid,” European Journal of Applied Physiology, vol. 96, no. 5, pp. 487–494, 2006.
View at: Publisher Site | Google Scholar
T. Liu, M. Shehata, G. Li, and X. Wang, “Androgens and atrial fibrillation: friends or foes?” International Journal of Cardiology, vol. 145, no. 2, pp. 365–367, 2010.
View at: Publisher Site | Google Scholar
J.-C. Daubert, D. Pavin, G. Jauvert, and P. Mabo, “Intra- and interatrial conduction delay: implications for cardiac pacing,” Pacing and Clinical Electrophysiology, vol. 27, no. 4, pp. 507–525, 2004.
View at: Publisher Site | Google Scholar
Q.-Q. Cui, W. Zhang, H. Wang et al., “Assessment of atrial electromechanical coupling and influential factors in nonrheumatic paroxysmal atrial fibrillation,” Clinical Cardiology, vol. 31, no. 2, pp. 74–78, 2008.
View at: Publisher Site | Google Scholar
O. Kinay, C. Nazli, O. Ergene et al., “Time interval from the initiation of the electrocardiographic P wave to the start of left atrial appendage ejection flow: a novel method for predicting atrial fibrillation recurrence,” Journal of the American Society of Echocardiography, vol. 15, no. 12, pp. 1479–1484, 2002.
View at: Publisher Site | Google Scholar
C. B. de Vos, B. Weijs, H. J. G. M. Crijns et al., “Atrial tissue Doppler imaging for prediction of new-onset atrial fibrillation,” Heart, vol. 95, no. 10, pp. 835–840, 2009.
View at: Publisher Site | Google Scholar
J. M. Kalman, M. Munawar, A. Yapanis et al., “Atrial tachyarrhythmias following coronary bypass surgery: sympathetic mechanisms,” in Atrial Fibrillation, A Treatable Disease? J. H. Kingma, N. M. van Hemel, and K. I. Lie, Eds., pp. 211–225, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1992.
View at: Google Scholar
S. D. Pierdomenico, D. Lapenna, and F. Cuccurullo, “Risk of atrial fibrillation in dipper and nondipper sustained hypertensive patients,” Blood Pressure Monitoring, vol. 13, no. 4, pp. 193–197, 2008.
View at: Publisher Site | Google Scholar
B. Solun, D. Marcoviciu, and D. Dicker, “Does treatment of hypertension decrease the incidence of atrial fibrillation and cardioembolic stroke?” European Journal of Internal Medicine, vol. 20, no. 2, pp. 125–131, 2009.
View at: Publisher Site | Google Scholar
B. Burstein and S. Nattel, “Atrial fibrosis: mechanisms and clinical relevance in atrial fibrillation,” Journal of the American College of Cardiology, vol. 51, no. 8, pp. 802–809, 2008.
View at: Publisher Site | Google Scholar
V. Fineschi, “Chronic, supra-physiological doses of nandrolone decanoate and exercise induced cardio-toxicity in an animal-model study,” Acta Physiologica, vol. 208, no. 2, pp. 141–143, 2013.
View at: Google Scholar
M. Montisci, R. El Mazloum, G. Cecchetto et al., “Anabolic androgenic steroids abuse and cardiac death in athletes: morphological and toxicological findings in four fatal cases,” Forensic Science International, vol. 217, no. 1–3, pp. e13–e18, 2012.
View at: Publisher Site | Google Scholar
R. M. Lang, M. Bierig, R. B. Devereux et al., “Recommendations for chamber quantification: a report from the American Society of Echocardiography's guidelines and standards committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology,” Journal of the American Society of Echocardiography, vol. 18, no. 12, pp. 1440–1463, 2005.
View at: Publisher Site | Google Scholar
R. B. Devereux and N. Reichek, “Echocardiographic determination of left ventricular mass in man. Anatomic validation of the method,” Circulation, vol. 55, no. 4, pp. 613–618, 1977.
View at: Google Scholar
S. F. Nagueh, C. P. Appleton, T. C. Gillebert et al., “Recommendations for the evaluation of left ventricular diastolic function by echocardiography,” Journal of the American Society of Echocardiography, vol. 22, no. 2, pp. 107–133, 2009.
View at: Publisher Site | Google Scholar
L. R. Peterson, A. D. Waggoner, K. B. Schechtman et al., “Alterations in left ventricular structure and function in young healthy obese women: assessment by echocardiography and tissue Doppler imaging,” Journal of the American College of Cardiology, vol. 43, no. 8, pp. 1399–1404, 2004.
View at: Publisher Site | Google Scholar
N. Ozer, B. Yavuz, I. Can et al., “Doppler tissue evaluation of intra-atrial and interatrial electromechanicaldelay and comparison with P-wave dispersion in patients with mitral stenosis,” Journal of the American Society of Echocardiography, vol. 18, pp. 945–948, 2005.
View at: Google Scholar
M. L. Sullivan, C. M. Martinez, P. Gennis, and E. J. Gallagher, “The cardiac toxicity of anabolic steroids,” Progress in Cardiovascular Diseases, vol. 41, no. 1, pp. 1–15, 1998.
View at: Google Scholar
S. Achar, A. Rostamian, and S. M. Narayan, “Cardiac and metabolic effects of anabolic-androgenic steroid abuse on lipids, blood pressure, left ventricular dimensions, and rhythm,” American Journal of Cardiology, vol. 106, no. 6, pp. 893–901, 2010.
View at: Publisher Site | Google Scholar
M. S. Nieminen, M. P. Ramo, M. Viitasalo et al., “Serious cardiovascular side effects of large doses of anabolic steroids in weight lifters,” European Heart Journal, vol. 17, no. 10, pp. 1576–1583, 1996.
View at: Google Scholar
W. Omi, H. Nagai, M. Takamura et al., “Doppler tissue analysis of atrial electromechanical coupling in paroxysmal atrial fibrillation,” Journal of the American Society of Echocardiography, vol. 18, no. 1, pp. 39–44, 2005.
View at: Publisher Site | Google Scholar
Ö. Esen, M. Akçakoyun, G. Açar et al., “Acute sleep deprivation is associated with increased atrial electromechanical delay in healthy young adults,” Pacing and Clinical Electrophysiology, vol. 34, no. 12, pp. 1645–1651, 2011.
View at: Google Scholar
G. Acar, A. Akcay, A. Sokmen et al., “Assessment of atrial electromechanical delay, diastolic functions, and left atrial mechanical functions in patients with type 1 diabetes mellitus,” Journal of the American Society of Echocardiography, vol. 22, no. 6, pp. 732–738, 2009.
View at: Publisher Site | Google Scholar
F. Roshanali, M. H. Mandegar, M. A. Yousefnia, F. Alaeddini, and B. Saidi, “Prevention of atrial fibrillation after coronary artery bypass grafting via atrial electromechanical interval and use of amiodarone prophylaxis,” Interactive Cardiovascular and Thoracic Surgery, vol. 8, pp. 421–425, 2009.
View at: Google Scholar
B. Yavuz, A. Deniz, D. T. Ertugrul et al., “A novel echocardiographic marker in hypertensive patients: is diastolic dysfunction associated with atrial electromechanical abnormalities in hypertension?” Journal of Clinical Hypertension, vol. 12, no. 9, pp. 687–692, 2010.
View at: Publisher Site | Google Scholar
P. Korantzopoulos, T. Kolettis, K. Siogas, and J. Goudevenos, “Atrial fibrillation and electrical remodeling: the potential role of inflammation and oxidative stress,” Medical Science Monitor, vol. 9, no. 9, pp. RA225–RA229, 2003.
View at: Google Scholar
J.-J. Mercadier, D. De La Bastie, and P. Menasche, “Alpha-myosin heavy chain isoform and atrial size in patients with various types of mitral valve dysfunction: a quantitative study,” Journal of the American College of Cardiology, vol. 9, no. 5, pp. 1024–1030, 1987.
View at: Google Scholar
E. J. Benjamin, R. B. D'Agostino, A. J. Belanger, P. A. Wolf, and D. Levy, “Left atrial size and the risk of stroke and death: the Framingham Heart Study,” Circulation, vol. 92, no. 4, pp. 835–841, 1995.
View at: Google Scholar
A. C. Pearson, M. Schiff, and D. Mrosek, “Left ventricular diastolic function in weight lifters,” American Journal of Cardiology, vol. 58, no. 13, pp. 1254–1259, 1986.
View at: Google Scholar
B. de Piccoli, F. Giada, A. Benettin, F. Sartori, and E. Piccolo, “Anabolic steroid use in body builders: an echocardiographic study of left ventricle morphology and function,” International Journal of Sports Medicine, vol. 12, no. 4, pp. 408–412, 1991.
View at: Google Scholar
R. D. Dickerman, F. Schaller, N. Y. Zachariah, and W. J. McConathy, “Left ventricular size and function in elite bodybuilders using anabolic steroids,” Clinical Journal of Sport Medicine, vol. 7, no. 2, pp. 90–93, 1997.
View at: Google Scholar
F. Hartgens, E. Cheriex, and H. Kuipers, “Prospective echocardiographic assessment of androgenic-anabolic steroids effects on cardiac structure and function in strength athletes,” International Journal of Sports Medicine, vol. 24, pp. 344–351, 2004.
View at: Google Scholar
P. Palatini, F. Giada, G. Garavelli et al., “Cardiovascular effects of anabolic steroids in weight-trained subjects,” Journal of Clinical Pharmacology, vol. 36, no. 12, pp. 1132–1140, 1996.
View at: Google Scholar
P. D. Thompson, A. Sadaniantz, E. M. Cullinane et al., “Left ventricular function is not impaired in weight-lifters who use anabolic steroids,” Journal of the American College of Cardiology, vol. 19, no. 2, pp. 278–282, 1992.
View at: Google Scholar
N. Baris, T. Okan, O. Gurler et al., “Evaluation of left ventricular diastolic dysfunction with conventional and current Doppler techniques in Behcet's disease,” Clinical Rheumatology, vol. 25, no. 6, pp. 873–876, 2006.
View at: Publisher Site | Google Scholar
M. A. Allessie, P. A. Boyden, A. J. Camm et al., “Pathophysiology and prevention of atrial fibrillation,” Circulation, vol. 103, no. 5, pp. 769–777, 2001.
View at: Google Scholar

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Copyright © 2014 Mustafa Akçakoyun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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