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<art>
	<ui>1471-2261-14-176</ui>
	<ji>1471-2261</ji>
	<fm>
		<dochead>Research article</dochead>
		<bibl>
			<title>
				<p>Metabolic syndrome is associated with a poor outcome in patients affected by outflow tract premature ventricular contractions treated by catheter ablation</p>
			</title>
			<aug>
				<au id="A1"><snm>Sardu</snm><fnm>Celestino</fnm><insr iid="I1"/><email>drsarducele@gmail.com</email></au>
				<au id="A2"><snm>Carreras</snm><fnm>Giovanni</fnm><insr iid="I2"/><email>g.carreras@libero.it</email></au>
				<au id="A3"><snm>Katsanos</snm><fnm>Spyridon</fnm><insr iid="I3"/><email>s.katsanos@virgilo.it</email></au>
				<au id="A4"><snm>Kamperidis</snm><fnm>Vasileios</fnm><insr iid="I4"/><email>v.kampediris@gmail.com</email></au>
				<au id="A5"><snm>Pace</snm><mnm>Caterina</mnm><fnm>Maria</fnm><insr iid="I5"/><email>caterina.pace@unina2.it</email></au>
				<au id="A6"><snm>Passavanti</snm><mnm>Beatrice</mnm><fnm>Maria</fnm><insr iid="I5"/><email>beatrice.passavanti@unina2.it</email></au>
				<au id="A7"><snm>Fava</snm><fnm>Ilaria</fnm><insr iid="I1"/><email>ilariafava1984@libero.it</email></au>
				<au id="A8"><snm>Paolisso</snm><fnm>Pasquale</fnm><insr iid="I1"/><email>pasqaule.paolisso@unina2.it</email></au>
				<au id="A9"><snm>Pieretti</snm><fnm>Gorizio</fnm><insr iid="I6"/><email>gorizio.piretti@unina2.it</email></au>
				<au id="A10"><snm>Nicoletti</snm><mnm>Francesco</mnm><fnm>Giovanni</fnm><insr iid="I6"/><email>giovannif.nicoletti@unina2.it</email></au>
				<au id="A11"><snm>Santulli</snm><fnm>Gaetano</fnm><insr iid="I7"/><email>gs2620@columbia.edu</email></au>
				<au id="A12"><snm>Paolisso</snm><fnm>Giuseppe</fnm><insr iid="I1"/><email>giuseppe.paolisso@unina2.it</email></au>
				<au id="A13" ca="yes"><snm>Marfella</snm><fnm>Raffaele</fnm><insr iid="I1"/><insr iid="I8"/><email>raffaele.marfella@unina2.it</email></au>
			</aug>
			<insg>
				<ins id="I1"><p>Department of Medical, Surgical, Neurological, Metabolic and Geriatric Sciences, Second University of Naples, Naples, Italy</p></ins>
				<ins id="I2"><p>Cardiovascular Department and Electrophysiology Unit, Santa Maria Terni Hospital, Terni, Italy</p></ins>
				<ins id="I3"><p>Cardiology, KAT hospital, Athens, Greece</p></ins>
				<ins id="I4"><p>1st Cardiology Department, AHEPA University Hospital, Thessaloniki, Greece</p></ins>
				<ins id="I5"><p>Department of Anesthesiological Surgical and Emergency Sciences II, University of Naples, Naples, Italy</p></ins>
				<ins id="I6"><p>Department of Plastic and Reconstructive Surgery, Second University of Naples, Naples, Italy</p></ins>
				<ins id="I7"><p>Columbia University Medical Center, New York, New York, USA</p></ins>
				<ins id="I8"><p>Current address: Piazza Miraglia, 2, Napoli 80138, Italy</p></ins>
			</insg>
			<source>BMC Cardiovascular Disorders</source>
			<section><title><p>Non-coronary artery cardiac disease</p></title></section><issn>1471-2261</issn>
			<pubdate>2014</pubdate>
			<volume>14</volume>
			<issue>1</issue>
			<fpage>176</fpage>
			<url>http://www.biomedcentral.com/1471-2261/14/176</url>
			<xrefbib><pubidlist><pubid idtype="doi">10.1186/1471-2261-14-176</pubid><pubid idtype="pmpid">25480761</pubid></pubidlist></xrefbib>
		</bibl>
		<history><rec><date><day>3</day><month>6</month><year>2014</year></date></rec><acc><date><day>15</day><month>9</month><year>2014</year></date></acc><pub><date><day>6</day><month>12</month><year>2014</year></date></pub></history>
		<cpyrt><year>2014</year><collab>Sardu et al.; licensee BioMed Central.</collab><note>This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/4.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (<url>http://creativecommons.org/publicdomain/zero/1.0/</url>) applies to the data made available in this article, unless otherwise stated.</note></cpyrt>
		<abs>
			<sec>
				<st>
					<p>Abstract</p>
				</st>
				<sec>
					<st>
						<p>Background</p>
					</st><p>The purpose of this study was to investigate the impact of metabolic syndrome (MS) on outcome of catheter ablation (CA) for treatment of frequent premature ventricular contraction beats (PVCs) originating from right ventricular outflow tract (RVOT), left ventricular outflow tract (LVOT) or coronary cusps (CUSPs), in patients with normal ventricular systolic function and absence of cardiac structural disease.</p>
				</sec>
				<sec>
					<st>
						<p>Methods</p>
					</st><p>In this multicentre prospective study we evaluated 90 patients with frequent PVCs originating from RVOT (n&#8201;=&#8201;68), LVOT (n&#8201;=&#8201;19) or CUSPs (n&#8201;=&#8201;3), treated with CA. According to baseline diagnosis they were divided in patients with MS (n&#8201;=&#8201;24) or without MS (n&#8201;=&#8201;66). The study endpoint was a composite of recurrence of acute or delayed outflow tract ventricular arrhythmia: acute spontaneous or inducible outflow tract ventricular arrhythmia recurrence or recurrence of outflow tract PVCs in holter monitoring at follow up.</p>
				</sec>
				<sec>
					<st>
						<p>Results</p>
					</st><p>Patients with MS compared to patients without MS showed a higher acute post-procedural recurrence of outflow tract PVCs (n&#8201;=&#8201;8, 66.6%, vs. n&#8201;=&#8201;6, 9.0%, p&#8201;=&#8201;0.005). At a mean follow up of 35 (17-43) months survival free of recurrence of outflow tract PVCs was lower in patients with baseline MS compared to patients without MS diagnosis (log-rank test, p&#8201;&lt;&#8201;0.001). In cox regression analysis, only MS was independently associated with study endpoint (HR&#8201;=&#8201;9.655 , 95% CI 3.000-31.0.68 , p&#8201;&lt;&#8201;0.001).</p>
				</sec>
				<sec>
					<st>
						<p>Conclusions</p>
					</st><p>MS is associated with a higher recurrence rate of outflow tract PVCs after CA in patients without structural heart disease.</p>
				</sec>
			</sec>
		</abs>
	</fm>
	<bdy>
		<sec>
			<st>
				<p>Background</p>
			</st><p>According to the Third report of the National Cholesterol Education Program (NCEP) expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) <abbrgrp>
					<abbr bid="B1">1</abbr>
				</abbrgrp>, metabolic syndrome (MS) is a clinical condition defined by evidence of several risk factors including obesity, hypertension, diabetes, and dyslipidaemia and it is related to a pro inflammatory and pro thrombotic state <abbrgrp>
					<abbr bid="B2">2</abbr>
				</abbrgrp>. MS identifies patients at increased risk for cardiovascular disease (CVD), type 2 diabetes mellitus, and all-cause mortality <abbrgrp>
					<abbr bid="B3">3</abbr>
					<abbr bid="B4">4</abbr>
					<abbr bid="B5">5</abbr>
				</abbrgrp>, and approximately one-fifth of the adult U.S. population would be classified as having MS with an upward trend in abdominal obesity and insulin resistance <abbrgrp>
					<abbr bid="B6">6</abbr>
				</abbrgrp>. Patients with uncomplicated MS have a greater dispersion of ventricular repolarization time and augmented maximal and minimal QTc <abbrgrp>
					<abbr bid="B7">7</abbr>
				</abbrgrp>, with increased possibility of ventricular re-entry circuits <abbrgrp>
					<abbr bid="B8">8</abbr>
					<abbr bid="B9">9</abbr>
					<abbr bid="B10">10</abbr>
				</abbrgrp> and increased frequency of premature ventricular contractions (PVCs) compared to healthy controls <abbrgrp>
					<abbr bid="B11">11</abbr>
					<abbr bid="B12">12</abbr>
				</abbrgrp>. Ventricular arrhythmias and PVCs originating from right ventricular or left ventricular outflow tract (RVOT, LVOT) and coronary cusps (CUSPs), characterized by inferior axis, precordial left bundle branch block (LBBB) morphology and V3 or V4 precordial transition on surface electrocardiogram (ECG) are often benign and not related to structural heart disease <abbrgrp>
					<abbr bid="B13">13</abbr>
				</abbrgrp>. These arrhythmias are caused by triggered activity due to cyclic adenosine monophosphate (cAMP)- mediated calcium-dependent delayed after depolarizations, and related to a arrhythmogenic cell focus firing and triggering induction mechanisms like catecholamine infusion, and are responsible to adenosine as well as verapamil administration <abbrgrp>
					<abbr bid="B14">14</abbr>
				</abbrgrp>. Recent data evidenced the role of oxidative stress in initiating cardiovascular consequences in MS. The enhanced oxidative stress exacerbates inflammation, which in turn further exacerbates oxidative stress, generating a vicious cycle, leading to sympathetic over activity and eventually ventricular arrhythmias <abbrgrp>
					<abbr bid="B15">15</abbr>
				</abbrgrp>. Thus, sympathetic over activity state related to MS may represent an irritating and triggering mechanism on these outflow tract PVCs. According to guidelines there is a class I indication for ventricular arrhythmias catheter ablation (CA) in patients at low risk for sudden death, in absence of structural heart disease <abbrgrp>
					<abbr bid="B16">16</abbr>
				</abbrgrp> and authors have observed beneficial effects on left and right ventricular function in patients with PVCs and preserved left ventricular ejection fraction <abbrgrp>
					<abbr bid="B17">17</abbr>
				</abbrgrp>. There are no evidences about catheter ablation (CA) outcomes in MS patients affected by idiopathic or benign PVCs. In this context, our study hypothesis is to examine the impact of MS on CA outcome of idiopathic PVCs in patients with preserved ventricular systolic function and absence of cardiac structural disease.</p>
		</sec>
		<sec>
			<st>
				<p>Methods</p>
			</st>
			<sec>
				<st>
					<p>Patient population</p>
				</st><p>In this multicentre prospective study we evaluated, from September 2010 to December 2013, all consecutive patients (n&#8201;=&#8201;90) who were treated by CA of idiopathic focal PVCs, originating from the RVOT (n&#8201;=&#8201;68), LVOT (n&#8201;=&#8201;19) or CUSPs (n&#8201;=&#8201;3), at Federico II university of Naples (Naples, Italy), S. Maria di Loreto Mare Hospital (Naples, Italy), and S. Maria Terni Hospital (Terni, Italy). Inclusion criteria were: 1) presence of RVOT, LVOT or CUSPs origin PVCs, 2) all patients have discontinued the anti-arrhythmic drugs (AADs) 4-5 half live before to perform the ablation, 3) absence of any structural heart disease, normal ventricular systolic function, 4) normal thyroid function and electrolyte values, 5) normal renal function, 6) absence of neoplastic disease. For every patient to rule out structural heart disease, a comprehensive clinical evaluation was performed, which included medical history, 12-lead electrocardiogram (ECG), and two dimensional transthoracic echocardiography. If exclusion of structural heart disease was deemed necessary, exercise testing, coronary angiography, cardiac multidetector computed tomography (CMCT), and/or nuclear imaging were performed. Prior to CA, 12-lead ECG recording of the PVCs and 24-hour Holter registration were acquired for all patients, and the evidence of more than three consecutive monomorphic PVCs beats were classified as ventricular tachycardia (VT). Baseline fasting blood samples were obtained from all patients for the measurement of blood glucose, lipid profile, and C Reactive Protein (CRP) (Elecsys 2010, Roche Diagnostics). The CRP cut off value was set at 0.9&#160;mg/dl, with values below and above this cut off considered normal and high, respectively. Nitrotyrosine plasma concentration was assayed by enzyme-linked immunosorbent assay. Nitrotyrosine was determined because this modified amino acid is a product of free-radical (O<sup>2&#8211;</sup>) interaction with nitric oxide (NO). The interaction of O<sup>2&#8211;</sup> with NO leads to a rapid inactivation of NO and to a production of the potent oxidant peroxynitrite. Detection of nitrotyrosine is strongly suggestive of increased generation of peroxynitrite <abbrgrp>
						<abbr bid="B18">18</abbr>
					</abbrgrp>. Patients were diagnosed with MS if they had at least 3 of these risk factors, according to Adult Treatment Panel III MS definition <abbrgrp>
						<abbr bid="B1">1</abbr>
					</abbrgrp>: waist circumference &gt;102&#160;cm in men and 88&#160;cm in women, high-density lipoprotein &lt;40&#160;mg/dl in men and &lt;50&#160;mg/dl in women and serum triglycerides &gt;150&#160;mg/dl, blood pressure &gt;130/85&#160;mm Hg or on antihypertensive medication, fasting blood glucose &gt;100&#160;mg/dl or on antidiabetic medication. According to authors <abbrgrp>
						<abbr bid="B19">19</abbr>
					</abbrgrp> if body mass index is over 30&#160;kg/m2, central obesity can be assumed and waist circumference does not need to be measured. The study was approved by institutional review boards and ethics committees at Federico II university of Naples (Naples, Italy), S. Maria di Loreto Mare Hospital (Naples, Italy), and S. Maria Terni Hospital (Terni, Italy). All patients provided written informed consent.</p>
			</sec>
			<sec>
				<st>
					<p>Ablation procedure</p>
				</st><p>In discontinuation of AADs 4-5 half live before performing the electrophysiological study and catheter ablation, and in conscious sedation by transfemoral right femoral vein access a quadripolar diagnostic catheter 4&#160;mm fixed curve (Biosense Inc., Diamond Bar, CA; St. Jude Medical, Inc., St. Paul, MN, USA ) has been placed first in right ventricle apex and subsequently in RVOT for reference and pacing manoeuvres. In the presence of clinical PVCs, activation mapping was performed using a 4-mm tip ablation catheter, placed by transfemoral right femoral vein (RVOT) or artery (LVOT and CUSPs) and pace mapping was performed in addition to activation mapping to identify the PVC focus during sinus rhythm. In patients without spontaneous PVCs, programmed ventricular stimulation was performed from the right ventricular (RV) apex and RVOT at three drive cycle lengths with up to three extra stimuli and incremental burst pacing at a cycle length up to 250&#160;ms, at baseline and during isoproterenol infusion. All endocavitary signals have been registered, filtered and analysed by an expert cardiologist by a polygraph (Lab System Pro, Bard Electrophysiology, Lowell, MA, USA). In all patients, a three-dimensional non-fluoroscopic imaging and mapping system (CartoXP and Carto 3, Biosense Inc., Diamond Bar, CA; Ensite Navx, St. Jude Medical, Inc., St. Paul, MN, USA) was used for catheter localization and activation mapping. Radiofrequency energy was delivered with a 4-mm-tip non irrigated catheter (Biosense Inc., Diamond Bar, CA, or St. Jude Medical, Inc., St. Paul, MN, USA ) with a target temperature of 60&#176;C at a power of 35&#160;W or with a 4-mm-tip irrigated ablation catheter (Biosense Inc., Diamond Bar, CA or St. Jude Medical, Inc., St. Paul, MN, USA) in temperature-controlled mode with a target temperature of 45&#176;C at a power of 30&#160;W. If the PVCs were abolished within 20&#160;seconds, the energy application was continued for 60&#160;seconds, while if PVCs were still present after 25-30 seconds, the energy application was terminated, and mapping was continued to find an optimal target site. After catheter ablation programmed ventricular stimulation performed from the right ventricular (RV) apex and RVOT at three drive cycle lengths with up to three extra stimuli and incremental burst pacing at a cycle length up to 250&#160;ms, at baseline and during isoproterenol infusion. On and off isoproterenol infusion were utilized to confirm the effectiveness of CA in all patients. Acute success was defined as the absence of out flow tract PVCs with similar morphology during a 30&#160;minutes observation period after CA, and in absence of clinical PVCs during programmed ventricular stimulation.</p>
			</sec>
			<sec>
				<st>
					<p>End point</p>
				</st><p>The end point was considered a composite of 1. acute absence of spontaneous or inducible outflow tract PVCs (OT-PVCs), with isoproterenol infusion or bursts pacing from right ventricular apex and RVOT for 30&#160;minutes following the last radiofrequency lesion, and 2. delayed and late recurrence of OT-PVCs at a rate of&#8201;&#8804;&#8201;300 beats per day documented by 24&#160;h Holter monitoring at scheduled follow up visits.</p>
			</sec>
			<sec>
				<st>
					<p>Follow up</p>
				</st><p>All patients were followed in the outpatient department within 2&#160;weeks, and thereafter at monthly intervals, during which physical examination and 12-lead ECG were conducted. Routine 12-lead Holter monitoring was performed at the 1<sup>st</sup>, 3<sup>rd</sup>, 6<sup>th</sup> and 12<sup>th</sup> month and echocardiography was performed at the 3<sup>rd</sup> and 6<sup>th</sup> month floow-up. Whenever patients had symptoms of palpitations, dizziness, or syncope during follow-up, they were advised to contact their doctors immediately for evaluation of vital signs, 12-lead ECG, and12-lead 24&#160;hour Holter monitoring. All AADs were discontinued after successful ablation procedure.</p>
			</sec>
			<sec>
				<st>
					<p>Statistical analysis</p>
				</st><p>Statistical analyses were carried out with a package of SPSS software version 20 (SPSS Inc., Chicago, IL, USA). Kolmogorov-Smirnov test was used to check the Gaussian distribution of continuous variables. Continuous variables were presented as mean&#8201;&#177;&#8201;standard deviation if normally distributed or as median (interquartile range), otherwise. Categorical variables were presented as number and frequencies. Patients were dichotomized according baseline diagnoses of MS. The Student&#8217;s t-test or Mann-Whitney test were used to compare continuous variables as appropriate. Additionally, &#967;<sup>2</sup> test or Fisher&#8217;s exact test, were used to compare categorical variables, as recommended. All long term survival analyses were calculated from the date of the procedure. The Log-rank test for time-to-event data with respect to recurrence of study endpoint was used for statistical comparison between patients with and patients without MS. Univariate and multivariate Cox proportional hazards models were performed to identify independent associates of the endpoint. The estimated hazard ratios and the 95% confidence intervals were computed. Only univariate variables with p &lt;0.05 were included in the multivariate model. For multivariate modelling, BMI&#8201;&gt;&#8201;30&#160;kg/m<sup>2</sup>, hypertension, dyslipidaemia and diabetes were omitted due to collinearity with MS. A two-sided p &lt;0.05 was considered statistically significant.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Results and discussion</p>
			</st><p>The mean age of the population was 40&#8201;&#177;&#8201;16&#160;years (male 53.3%). By definition, patients with MS had higher BMI, and higher rates of dyslipidaemia, hypertension, and diabetes (Table&#160;<tblr tid="T1">1</tblr>). Creatinine, Nitrotyrosine and C Reactive Protein (CRP) were also higher in the MS group (1.1(1.0-1.2) mg/dl vs 1.0 (0.9-1.0) mg/dl, p&#8201;=&#8201;0.004, 0.42&#8201;&#177;&#8201;0.03&#160;&#956;mol/L v/s 0.27&#8201;&#177;&#8201;0.02&#160;&#956;mol/L, p&#8201;&lt;&#8201;0.001 and 5.3 (3.2-7.2) mg/dl, vs. 2.7 (1.7-4.0) mg/dl, p&#8201;&lt;&#8201;0.001, respectively). Values of oxidative stress marker (nitrotyrosine) levels were higher in MS group (Table&#160;<tblr tid="T1">1</tblr>). Patients with MS compared to patients without MS were more commonly treated with angiotensin-converting enzyme inhibitors and angiotensin receptor blockers (ACE/ARB blockers), beta-blockers and lipid-lowering therapy (Table&#160;<tblr tid="T1">1</tblr>). Interestingly, patients with MS as opposed to patients without MS had higher baseline heart rate (HR) (72&#8201;&#177;&#8201;11 beats/min vs. 65&#8201;&#177;&#8201;10 beats/min, p&#8201;=&#8201;0.015), higher PVCs burden at baseline (7263&#8201;&#177;&#8201;1766 beats/day vs 7263&#8201;&#177;&#8201;1766 beats/day, p&#8201;=&#8201;0.042) and longer CA procedural time (163.9&#8201;&#177;&#8201;39.1&#160;min vs. 141&#8201;&#177;&#8201;24&#160;min, p&#8201;=&#8201;0.002) (Table&#160;<tblr tid="T2">2</tblr>).</p>
			<table id="T1">
				<title>
					<p>Table 1</p>
				</title>
				<caption>
					<p>
						<b>Baseline population characteristics</b>
					</p>
				</caption>
				<tgroup align="left" cols="5">
					<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
					<colspec align="left" colname="c3" colnum="3" colwidth="1*"/>
					<colspec align="left" colname="c4" colnum="4" colwidth="1*"/>
					<colspec align="left" colname="c5" colnum="5" colwidth="1*"/>
					<thead valign="top">
						<row>
							<entry colname="c1" morerows="1" rowsep="1" valign="top">
								<p>
									<b>Variable</b>
								</p>
							</entry>
							<entry colname="c2">
								<p>
									<b>Total population</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>Patients with MS</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>Patients without MS</b>
								</p>
							</entry>
							<entry colname="c5" morerows="1" rowsep="1" valign="top">
								<p>
									<b>p-value</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c2">
								<p>
									<b>(n&#8201;=&#8201;90)</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>(n&#8201;=&#8201;24)</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>(n&#8201;=&#8201;66)</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>Continuous variables are expressed as mean&#8201;&#177;&#8201;SD if normally distributed or as median (IQR: 25th percentile, 75th percentile) if not normally distributed, categorical variables are expressed as number (percentage). AADs anti arrhythmic drugs; ACEi/ARBs blockers angiotensin-converting enzyme inhibitors and angiotensin receptor blockers; CRP C-reactive protein; CUSPs aortic cusps; LVEF left ventricle ejection fraction; LVOT left ventricular outflow tract; LVTDd left ventricle end-diastolic diameter; LVTSd left ventricle end-systolic diameter; PVCs premature ventricular contractions; RVOT right ventricular outflow tract.</p>
					</tfoot>
					<tbody valign="top">
						<row>
							<entry colname="c1">
								<p>Age (years)</p>
							</entry>
							<entry colname="c2">
								<p>40&#8201;&#177;&#8201;16</p>
							</entry>
							<entry colname="c3">
								<p>53&#8201;&#177;&#8201;12</p>
							</entry>
							<entry colname="c4">
								<p>35&#8201;&#177;&#8201;15</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Male n(%)</p>
							</entry>
							<entry colname="c2">
								<p>48 (53.3%)</p>
							</entry>
							<entry colname="c3">
								<p>10 (41.6%)</p>
							</entry>
							<entry colname="c4">
								<p>38 (57.5%)</p>
							</entry>
							<entry colname="c5">
								<p>0.181</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>BMI (kg/m<sup>2</sup>)</p>
							</entry>
							<entry colname="c2">
								<p>27.7&#8201;&#177;&#8201;3.3</p>
							</entry>
							<entry colname="c3">
								<p>31.7&#8201;&#177;&#8201;1.2</p>
							</entry>
							<entry colname="c4">
								<p>26.3&#8201;&#177;&#8201;2.6</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Dyslipidemia n (%)</p>
							</entry>
							<entry colname="c2">
								<p>32 (35.6%)</p>
							</entry>
							<entry colname="c3">
								<p>22 (91.6%)</p>
							</entry>
							<entry colname="c4">
								<p>10 (15.1%)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Hypertension n (%)</p>
							</entry>
							<entry colname="c2">
								<p>41 (45.6%)</p>
							</entry>
							<entry colname="c3">
								<p>23 (95.8%)</p>
							</entry>
							<entry colname="c4">
								<p>18 (27.2%)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Diabetes n (%)</p>
							</entry>
							<entry colname="c2">
								<p>10 (11.1%)</p>
							</entry>
							<entry colname="c3">
								<p>10 (41.6%)</p>
							</entry>
							<entry colname="c4">
								<p>0 (0%)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Creatinine (mg/dl)</p>
							</entry>
							<entry colname="c2">
								<p>1.0 (0.9-1.2)</p>
							</entry>
							<entry colname="c3">
								<p>1.1(1.0-1.2)</p>
							</entry>
							<entry colname="c4">
								<p>1 (0.9-1.0)</p>
							</entry>
							<entry colname="c5">
								<p>0.004</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Nitrotyrosine (&#956;mol/L)</p>
							</entry>
							<entry colname="c2">
								<p>0.31&#8201;&#177;&#8201;0.07</p>
							</entry>
							<entry colname="c3">
								<p>0.42&#8201;&#177;&#8201;0.03</p>
							</entry>
							<entry colname="c4">
								<p>0.27&#8201;&#177;&#8201;0.02</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>CRP (mg/dl)</p>
							</entry>
							<entry colname="c2">
								<p>3.7 (1.8-5.3)</p>
							</entry>
							<entry colname="c3">
								<p>5.3 (3.2-7.2)</p>
							</entry>
							<entry colname="c4">
								<p>2.7 (1.7-4.0)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>
									<b>PVCs origin site</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1">
								<p>RVOT n (%)</p>
							</entry>
							<entry colname="c2">
								<p>68 (75.6%)</p>
							</entry>
							<entry colname="c3">
								<p>20 (83.3%)</p>
							</entry>
							<entry colname="c4">
								<p>48 (72.7%)</p>
							</entry>
							<entry colname="c5">
								<p>0.791</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>LVOT n (%)</p>
							</entry>
							<entry colname="c2">
								<p>19 (21.1%)</p>
							</entry>
							<entry colname="c3">
								<p>3 (12.5%)</p>
							</entry>
							<entry colname="c4">
								<p>16 (24.2)</p>
							</entry>
							<entry colname="c5">
								<p>0.227</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>CUSPs n (%)</p>
							</entry>
							<entry colname="c2">
								<p>3 (3.3%)</p>
							</entry>
							<entry colname="c3">
								<p>1 (4.1%)</p>
							</entry>
							<entry colname="c4">
								<p>2 (3.0%)</p>
							</entry>
							<entry colname="c5">
								<p>0.610</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>
									<b>Echocardiography</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1">
								<p>LVTDd (mm)</p>
							</entry>
							<entry colname="c2">
								<p>50.0&#8201;&#177;&#8201;5.5</p>
							</entry>
							<entry colname="c3">
								<p>50.1&#8201;&#177;&#8201;5.3</p>
							</entry>
							<entry colname="c4">
								<p>50.0&#8201;&#177;&#8201;5.5</p>
							</entry>
							<entry colname="c5">
								<p>0.933</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>LVTSd (mm)</p>
							</entry>
							<entry colname="c2">
								<p>28.7&#8201;&#177;&#8201;4.6</p>
							</entry>
							<entry colname="c3">
								<p>30.2&#8201;&#177;&#8201;4.3</p>
							</entry>
							<entry colname="c4">
								<p>28.1&#8201;&#177;&#8201;4.6</p>
							</entry>
							<entry colname="c5">
								<p>0.058</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>LVEF (%)</p>
							</entry>
							<entry colname="c2">
								<p>57&#8201;&#177;&#8201;5</p>
							</entry>
							<entry colname="c3">
								<p>57&#8201;&#177;&#8201;3</p>
							</entry>
							<entry colname="c4">
								<p>57&#8201;&#177;&#8201;5</p>
							</entry>
							<entry colname="c5">
								<p>0.982</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>
									<b>Medication</b>
								</p>
							</entry>
							<entry colname="c2"/>
							<entry colname="c3"/>
							<entry colname="c4"/>
							<entry colname="c5"/>
						</row>
						<row>
							<entry colname="c1">
								<p>ACEi/ARBs n (%)</p>
							</entry>
							<entry colname="c2">
								<p>33 (36.7%)</p>
							</entry>
							<entry colname="c3">
								<p>21 (87.5%)</p>
							</entry>
							<entry colname="c4">
								<p>12 (18.1%)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Beta blockers n (%)</p>
							</entry>
							<entry colname="c2">
								<p>16 (17.8%)</p>
							</entry>
							<entry colname="c3">
								<p>13 (54.1%)</p>
							</entry>
							<entry colname="c4">
								<p>3 (4.5%)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Lipid-lowering therapy n (%)</p>
							</entry>
							<entry colname="c2">
								<p>29 (32%)</p>
							</entry>
							<entry colname="c3">
								<p>19 (79.1%)</p>
							</entry>
							<entry colname="c4">
								<p>10 (15.1%)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Class I AADs n (%)</p>
							</entry>
							<entry colname="c2">
								<p>16 (17.8%)</p>
							</entry>
							<entry colname="c3">
								<p>11 (45.8%)</p>
							</entry>
							<entry colname="c4">
								<p>5 (7.5%)</p>
							</entry>
							<entry colname="c5">
								<p>&lt;0.001</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Class III AADs n (%)</p>
							</entry>
							<entry colname="c2">
								<p>3 (3.3%)</p>
							</entry>
							<entry colname="c3">
								<p>2 (8.3%)</p>
							</entry>
							<entry colname="c4">
								<p>1 (1.5%)</p>
							</entry>
							<entry colname="c5">
								<p>0.172</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Class IV AADs n (%)</p>
							</entry>
							<entry colname="c2">
								<p>3 (3.3%)</p>
							</entry>
							<entry colname="c3">
								<p>2 (8.3%)</p>
							</entry>
							<entry colname="c4">
								<p>1 (8.3%)</p>
							</entry>
							<entry colname="c5">
								<p>0.172</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Follow-up months n (%)</p>
							</entry>
							<entry colname="c2">
								<p>39 (32-45)</p>
							</entry>
							<entry colname="c3">
								<p>35 (24-45)</p>
							</entry>
							<entry colname="c4">
								<p>40 (34-45)</p>
							</entry>
							<entry colname="c5">
								<p>0.356</p>
							</entry>
						</row>
					</tbody>
				</tgroup>
			</table>
			<table id="T2">
				<title>
					<p>Table 2</p>
				</title>
				<caption>
					<p>
						<b>HR, PVCs morphology, PVCs burden and ablation procedure characteristics</b>
					</p>
				</caption>
				<tgroup align="left" cols="5">
					<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
					<colspec align="left" colname="c2" colnum="2" colwidth="1*"/>
					<colspec align="left" colname="c3" colnum="3" colwidth="1*"/>
					<colspec align="left" colname="c4" colnum="4" colwidth="1*"/>
					<colspec align="left" colname="c5" colnum="5" colwidth="1*"/>
					<thead valign="top">
						<row>
							<entry colname="c1" morerows="1" rowsep="1" valign="top">
								<p>
									<b>Variable</b>
								</p>
							</entry>
							<entry colname="c2" morerows="1" rowsep="1" valign="top">
								<p>
									<b>General population</b>
								</p>
							</entry>
							<entry colname="c3">
								<p>
									<b>Group 1 (with MS)</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>Group 2 (without MS)</b>
								</p>
							</entry>
							<entry colname="c5" morerows="1" rowsep="1" valign="top">
								<p>
									<b>P Value</b>
								</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c3">
								<p>
									<b>(n&#8201;=&#8201;24)</b>
								</p>
							</entry>
							<entry colname="c4">
								<p>
									<b>(n&#8201;=&#8201;66)</b>
								</p>
							</entry>
						</row>
					</thead>
					<tfoot>
						<p>Variables are expressed as mean&#8201;&#177;&#8201;SD or median (IQR: 25th percentile, 75th percentile) if not normally distributed.</p><p>AADs, antiarrhythmic drugs; HR, heart rate in beats for minute (bpm); PVC, premature ventricular beats; QS wave in DI derivation on surface ecg; RF, radiofrequency catheter ablation.</p>
					</tfoot>
					<tbody valign="top">
						<row>
							<entry colname="c1">
								<p>HR baseline (bpm)</p>
							</entry>
							<entry colname="c2">
								<p>67&#8201;&#177;&#8201;10</p>
							</entry>
							<entry colname="c3">
								<p>72&#8201;&#177;&#8201;11</p>
							</entry>
							<entry colname="c4">
								<p>65&#8201;&#177;&#8201;10</p>
							</entry>
							<entry colname="c5">
								<p>0.015</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>PVC burden</p>
							</entry>
							<entry colname="c2">
								<p>7455&#8201;&#177;&#8201;2021</p>
							</entry>
							<entry colname="c3">
								<p>8226&#8201;&#177;&#8201;2 407</p>
							</entry>
							<entry colname="c4">
								<p>7263&#8201;&#177;&#8201;1766</p>
							</entry>
							<entry colname="c5">
								<p>0.042</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>QS wave in DI n (%)</p>
							</entry>
							<entry colname="c2">
								<p>23 (25.6%)</p>
							</entry>
							<entry colname="c3">
								<p>4 (16.6%)</p>
							</entry>
							<entry colname="c4">
								<p>19 (28.7%)</p>
							</entry>
							<entry colname="c5">
								<p>0.244</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Precordial transition before V4 n (%)</p>
							</entry>
							<entry colname="c2">
								<p>11 (12.2%)</p>
							</entry>
							<entry colname="c3">
								<p>2 (8.3%)</p>
							</entry>
							<entry colname="c4">
								<p>9 (13.6%)</p>
							</entry>
							<entry colname="c5">
								<p>0.721</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>Fluoroscopic time (min)</p>
							</entry>
							<entry colname="c2">
								<p>22.8&#8201;&#177;&#8201;10.2</p>
							</entry>
							<entry colname="c3">
								<p>22.7&#8201;&#177;&#8201;8.0</p>
							</entry>
							<entry colname="c4">
								<p>20.5&#8201;&#177;&#8201;9.1</p>
							</entry>
							<entry colname="c5">
								<p>0.299</p>
							</entry>
						</row>
						<row>
							<entry colname="c1">
								<p>RF time (min)</p>
							</entry>
							<entry colname="c2">
								<p>6.54&#8201;&#177;&#8201;3.4</p>
							</entry>
							<entry colname="c3">
								<p>7.2&#8201;&#177;&#8201;2.8</p>
							</entry>
							<entry colname="c4">
								<p>6.2&#8201;&#177;&#8201;3.5</p>
							</entry>
							<entry colname="c5">
								<p>0.206</p>
							</entry>
						</row>
						<row rowsep="1">
							<entry colname="c1">
								<p>Procedural time (min)</p>
							</entry>
							<entry colname="c2">
								<p>147.55&#8201;&#177;&#8201;30.8</p>
							</entry>
							<entry colname="c3">
								<p>163.9&#8201;&#177;&#8201;39.1</p>
							</entry>
							<entry colname="c4">
								<p>141&#8201;&#177;&#8201;24</p>
							</entry>
							<entry colname="c5">
								<p>0.002</p>
							</entry>
						</row>
					</tbody>
				</tgroup>
			</table>
			<sec>
				<st>
					<p>Study endpoint</p>
				</st><p>There were 14 cases of acute PVCs recurrence (15,5%). The rate of spontaneous or inducible PVCs with isoproterenol infusion and bursts pacing from right ventricular apex and RVOT for 30&#160;minutes following the last radiofrequency lesion acute PVC was significantly higher in patients with MS compared to patients without MS (n&#8201;=&#8201;8, 66.6%, vs. n&#8201;=&#8201;6, 9.0%, p&#8201;=&#8201;0.005). During a follow up there were, 8 more patients (8,8%), evidenced of PVCs at a rate of&#8201;&gt;&#8201;300 beats per day documented by 24&#160;h Holter. In total, 22 (24.4%) patients reached the study endpoint (14 patients had acute and 8 patients delayed PVCs). None of the patients died during follow-up.The Kaplan&#8211;Meier curves show survival rates free of the composite study endpoint for patients divided according to baseline diagnosis of MS (Figure&#160;<figr fid="F1">1</figr>). The recurrence of acute or delayed PVCs free survival at 12 and 24&#160;months follow up in the MS group were 50% and 9% compared with 89% and 87% in the group of patients without MS, respectively (log-rank p&#8201;&lt;&#8201;0.001) (Figure&#160;<figr fid="F1">1</figr>).</p>
				<fig id="F1"><title><p>Figure 1</p></title><caption><p>Recurrence-free survival in patients with PVCs</p></caption><text>
   <p><b>Recurrence-free survival in patients with PVCs.</b> Kaplan Meier curve showing survival free of study endpoint between patients with or without metabolic syndrome (Log-rank test, p&#8201;&lt;&#8201;0.001). MS&#8201;=&#8201;metabolic syndrome; PVCs&#8201;=&#8201;outflow tract premature ventricular contractions; Pts&#8201;=&#8201;patients.</p>
</text><graphic file="1471-2261-14-176-1"/></fig><p>From the univariate Cox proportional hazards analysis, MS (HR&#8201;=&#8201;9.119, 95% CI =3.461-24.024, p&#8201;&lt;&#8201;0.001), CRP (HR&#8201;=&#8201;1.253 95% CI&#8201;=&#8201;1.035-1.516, p&#8201;=&#8201;0.021), and procedural time (HR&#8201;=&#8201;1.015, 95% CI&#8201;=&#8201;1.004-1.027, p&#8201;=&#8201;0.015) were included in the multivariable model (Table&#160;<tblr tid="T3">3</tblr>). Finally, only MS was independently associated with the study endpoint (HR&#8201;=&#8201;9.119, 95% CI&#8201;=&#8201;3.461-24.024, p&#8201;&lt;&#8201;0.001) (Table&#160;<tblr tid="T3">3</tblr>).</p>
				<table id="T3">
					<title>
						<p>Table 3</p>
					</title>
					<caption>
						<p>
							<b>Multivariate cox regression analysis for parameters associated with study endpoint</b>
						</p>
					</caption>
					<tgroup align="left" cols="5">
						<colspec align="left" colname="c1" colnum="1" colwidth="1*"/>
						<colspec align="center" colname="c2" colnum="2" colwidth="1*"/>
						<colspec align="center" colname="c3" colnum="3" colwidth="1*"/>
						<colspec align="center" colname="c4" colnum="4" colwidth="1*"/>
						<colspec align="center" colname="c5" colnum="5" colwidth="1*"/>
						<thead valign="top">
							<row>
								<entry colname="c1">
									<p>
										<b>Variable</b>
									</p>
								</entry>
								<entry align="center" colname="c2" nameend="c3" namest="c2" rowsep="1">
									<p>
										<b>Univariate analysis</b>
									</p>
								</entry>
								<entry align="center" colname="c4" nameend="c5" namest="c4" rowsep="1">
									<p>
										<b>Multivariate analysis</b>
									</p>
								</entry>
							</row>
							<row rowsep="1">
								<entry colname="c1"/>
								<entry align="center" colname="c2">
									<p>
										<b>HR (95% CI)</b>
									</p>
								</entry>
								<entry align="center" colname="c3">
									<p>
										<b>p-value</b>
									</p>
								</entry>
								<entry align="center" colname="c4">
									<p>
										<b>HR (95% CI)</b>
									</p>
								</entry>
								<entry align="center" colname="c5">
									<p>
										<b>p-value</b>
									</p>
								</entry>
							</row>
						</thead>
						<tfoot>
							<p>BMI body mass index; CRP C reactive protein; HR Hazard Ratio; PVC premature ventricular contractions.</p><p>*MS, BMI and Nitrotyrosine levels were significantly associated with the study endpoint, P&lt;0.001.</p>
						</tfoot>
						<tbody valign="top">
							<row>
								<entry colname="c1">
									<p>MS</p>
								</entry>
								<entry align="center" colname="c2">
									<p>9.119 (3.461-24.024)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>
										<b>&lt;0.001</b>
									</p>
								</entry>
								<entry align="center" colname="c4">
									<p>9.655 (3.000-31.068)</p>
								</entry>
								<entry align="center" colname="c5">
									<p>&lt;0.001</p>
								</entry>
							</row>
							<row>
								<entry colname="c1">
									<p>Age (years)</p>
								</entry>
								<entry align="center" colname="c2">
									<p>1.023 (0.997-1.050)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.083</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
							<row>
								<entry colname="c1">
									<p>*BMI &#8805; 30 (kg/m&#178;)</p>
								</entry>
								<entry align="center" colname="c2">
									<p>8.1 (3.0-21.454)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>
										<b>&lt;0.001</b>
									</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
							<row>
								<entry colname="c1">
									<p>Hypertension</p>
								</entry>
								<entry align="center" colname="c2">
									<p>2.656 (1.068-6.604)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.036</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
							<row>
								<entry colname="c1">
									<p>Dyslipidemia</p>
								</entry>
								<entry align="center" colname="c2">
									<p>3.447 (1.417-8.384)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.006</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
							<row>
								<entry colname="c1">
									<p>Diabetes</p>
								</entry>
								<entry align="center" colname="c2">
									<p>2.785 (1.015-7.638)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.047</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
							<row>
								<entry colname="c1">
									<p>Creatinine (mg/dl)</p>
								</entry>
								<entry align="center" colname="c2">
									<p>0.652 (0.162-2.616)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.546</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
							<row>
								<entry colname="c1">
									<p>*Nitrotyrosine &#215; 100 (&#956;mol/L)</p>
								</entry>
								<entry align="center" colname="c2">
									<p>1.136 (1.074-1.202)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>
										<b>&lt;0.001</b>
									</p>
								</entry>
								<entry align="center" colname="c4">
									<p>0.64 (0.12-3.52)</p>
								</entry>
								<entry align="center" colname="c5">
									<p>0.611</p>
								</entry>
							</row>
							<row>
								<entry colname="c1">
									<p>CRP (mg/dl)</p>
								</entry>
								<entry align="center" colname="c2">
									<p>1.253 (1.035-1.516)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.021</p>
								</entry>
								<entry align="center" colname="c4">
									<p>0.940 (0.767- 1.151)</p>
								</entry>
								<entry align="center" colname="c5">
									<p>0.977</p>
								</entry>
							</row>
							<row>
								<entry colname="c1">
									<p>Heart rate baseline (bpm)</p>
								</entry>
								<entry align="center" colname="c2">
									<p>1.011 (0.973-1.051)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.573</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
							<row rowsep="1">
								<entry colname="c1">
									<p>PVC burden (per 100 beats/24 hours increase)</p>
								</entry>
								<entry align="center" colname="c2">
									<p>1.017 (0.997-1.038)</p>
								</entry>
								<entry align="center" colname="c3">
									<p>0.096</p>
								</entry>
								<entry align="center" colname="c4"/>
								<entry align="center" colname="c5"/>
							</row>
						</tbody>
					</tgroup>
				</table>
			</sec>
			<sec>
				<st>
					<p>Complications</p>
				</st><p>After CA 3 hematoma complications, 1 arteriovenous fistula and 1 case of acute pericardial effusion occurred. During the follow up in the catheter ablation failure group, patients remained under AADs and 14 (58,3%) of them experienced a drug related adverse effect: symptomatic low blood pressure in flecainide treated patients (n&#8201;=&#8201;5), obstructive acute lung disease, hypotension and symptomatic bradycardia in beta blockers treated patients (n&#8201;=&#8201;7), and recurrent headaches and hypotension in propafenone group (n&#8201;=&#8201;2).</p><p>In this study we have examined the impact of MS on acute and long term follow up catheter ablation in a population of PVCs patients without evidence of structural heart disease and normal heart function. Our main observations were the following: 1. in the overall population who had undergone CA for PVCs, MS was associated with significantly higher acute CA failure. 2. MS was an independent prognostic factor of acute and delayed PVCs recurrence after CA.</p><p>MS has some direct or indirect influence on ventricular electrophysiology by different action pathways and altering the ionic channels conduction properties. The higher prevalence of obesity, dyslipidaemia, hypertension and diabetes leads MS patients to an augmented oxidative stress and arrhythmogenesis, with abnormalities in sympatho-vagal balance, QT interval and QT dispersion and a fibrotic and adipotic Cardiac Conduction System involvement <abbrgrp>
						<abbr bid="B7">7</abbr>
						<abbr bid="B8">8</abbr>
						<abbr bid="B9">9</abbr>
						<abbr bid="B10">10</abbr>
					</abbrgrp>.</p><p>The obesity, a common risk factor associated with MS <abbrgrp>
						<abbr bid="B2">2</abbr>
					</abbrgrp>, can lead to high rates of sudden cardiac death (SCD), before the development of heart disease <abbrgrp>
						<abbr bid="B20">20</abbr>
						<abbr bid="B21">21</abbr>
					</abbrgrp>, and an increased frequency of premature ventricular contractions compared to healthy controls, unrelated to hypertension or concentric ventricular hypertrophy <abbrgrp>
						<abbr bid="B22">22</abbr>
						<abbr bid="B23">23</abbr>
					</abbrgrp>.</p><p>Elevated plasma free fatty acid level has a stimulatory effect on the sympathetic nervous system <abbrgrp>
						<abbr bid="B24">24</abbr>
					</abbrgrp>, with an increased sympathetic and a decreased parasympathetic tone in obese patients <abbrgrp>
						<abbr bid="B25">25</abbr>
					</abbrgrp>.</p><p>Adipocytokines from epicardial fat significantly decrease delayed rectifier outward currents prolonging action potential duration and facilitating triggered activity with early after depolarizations <abbrgrp>
						<abbr bid="B9">9</abbr>
					</abbrgrp>, increasing dispersions of action potential duration and leading to a higher possibility of re-entry circuits <abbrgrp>
						<abbr bid="B9">9</abbr>
						<abbr bid="B10">10</abbr>
						<abbr bid="B11">11</abbr>
					</abbrgrp>, causing ventricular tachycardia and sudden cardiac death <abbrgrp>
						<abbr bid="B22">22</abbr>
					</abbrgrp>. In our study there is an higher baseline heart rate and PVCs burden in MS than in overall population which may be explained by an abnormal sympatho-vagal balance in MS population, and by a Conduction System involvement with conduction channels alterations and an augmented susceptibility to arrhythmogenesis.</p><p>The augmented systemic oxidative stress is associated with cardiac electrical and structural remodelling <abbrgrp>
						<abbr bid="B26">26</abbr>
						<abbr bid="B27">27</abbr>
						<abbr bid="B28">28</abbr>
					</abbrgrp>, and reactive oxygen species may impair Na, K, Ca channels and Na-Ca exchanger activity, leading to gap junction remodelling, decreasing the action potential amplitude and duration, and increasing the incidence of cardiac arrhythmias in animal models <abbrgrp>
						<abbr bid="B15">15</abbr>
					</abbrgrp>. In fact, oxidative stress results in decreased hERG protein levels, accelerated activation and deactivation of hERG, increased in current amplitude of hERG and hKv1.5, allowing a greater amount of K ions to flow through these channels in the phase 3 of the action potential, down regulation of Ito (transient outward potassium current) responsible for the rapid repolarization phase, and increased the channel opening probability of Ik1 (inward rectifying channel) <abbrgrp>
						<abbr bid="B27">27</abbr>
						<abbr bid="B28">28</abbr>
					</abbrgrp>.</p><p>The alteration in cardiac oxidative stress, investigated by an higher expression of serum biomarkers like nitrotyrosine and C reactive protein (CRP), leads to alterations in ionic channels conductions properties favouring arrhythmogenic activity in MS population.</p><p>At long term these irritative and pro inflammatory stimuli may become pro fibrotic leading to structural fibrotic alterations of the sinoatrial node and throughout the conduction system, the atrioventricular node, atrioventricular bundle and left bundle branch <abbrgrp>
						<abbr bid="B29">29</abbr>
					</abbrgrp>. Added to these fibrotic alterations other structural abnormalities such as localized wall bulging, wall thinning, fatty infiltration, and fibrosis exist in the RVOT, not only in patients with Arrhythmogenic Right Ventricle Cardiomyopathy (ARVC), <abbrgrp>
						<abbr bid="B30">30</abbr>
						<abbr bid="B31">31</abbr>
					</abbrgrp> but also in patients with RVOT tachycardia <abbrgrp>
						<abbr bid="B32">32</abbr>
					</abbrgrp>.</p><p>If these subclinical myocardial structural alterations may be an important factor limiting the efficacy of CA outcome in general population <abbrgrp>
						<abbr bid="B33">33</abbr>
					</abbrgrp>, in MS patients with different morphology of PVCs on surface ECG (different precordial transition and q wave in lead I) and PVCs origin focus have shown not different outcomes, observing all PVCs population and separately RVOT, LVOT and CUSPs PVCs.</p><p>This may be explained because, in MS patients, the presence of a constellation of risk factors can alter and affect the prognosis also in evidence of a good ablation target, and in our study the only independent predictor of short and long term follow up catheter ablation failure is MS.</p><p>In the two groups there is not a difference regarding the fluoroscopic time and the ablation time (RF time), while there is a significant difference related to total procedural time. We can explain these observations than to the modern technologies utilized, because first in all patients we have utilized as described before two different 3D non fluoroscopic mapping system (CartoXP and Carto 3, Biosense Inc., Diamond Bar, CA; Ensite Navx, St. Jude Medical, Inc., St. Paul, MN, USA), that help to record and target more accurately tachycardia origin for ablation than with fluoroscopy alone, and allow catheter positioning without the use of fluoroscopy, reducing fluoroscopy time and radiation dose <abbrgrp>
						<abbr bid="B34">34</abbr>
						<abbr bid="B35">35</abbr>
						<abbr bid="B36">36</abbr>
					</abbrgrp>, and secondary also for catheter ablation we can consider to have utilized a standardized protocol, using in more time same energy source (radiofrequency) with same target energy (watt), temperature and pulse duration (maximum 60&#8221; for every ablation point). On other hand the higher total procedural time observed in MS may be due to technical difficulties related to multiple risk factors present in MS, than can influence the intraoperative management of MS patients prolonging the total procedural time.</p><p>The multifactorial risk factors in MS altering oxido/redux balance by a proinflammatory status, lead to an abnormal sympathetic tone and complex alterations in electrophysiological properties from baseline in affected patients.</p><p>All these molecular processes connected with MS represent a pro-inflammatory permanent condition triggering the arrhythmogenic cells firing in patients with PVCs not related to cardiac structural disease and without cardiac dysfunction, and leading to an higher tendency and propensity to arrhythmogenicity.</p><p>In a recent study <abbrgrp>
						<abbr bid="B37">37</abbr>
					</abbrgrp> authors have shown a worse catheter ablation outcome in MS patients affected by atrial fibrillation, highlighting the fact that MS related proinflammatory status can affect ablation outcome.</p><p>Until now at our knowledge there are not studies focused on idiopathic PVCs catheter ablation outcome in MS overall general population.</p><p>In our study we try to show the impact of MS on patients affected by idiopathic PVCs undergoing catheter ablation therapy, without structural heart diseases and altered cardiac function.</p><p>The investigated proinflammatory status and altered sympathetic-vagal tone in MS population may identify at baseline patients with less possibility to respond to CA, also in absence of cardiac structural alterations and cardiac dysfunctions and so apparently not different in this from overall population if selected for CA of benign and idiopathic PVCs.</p><p>These subclinical alterations are not simple to detect with modern technologies, but in current clinical practice we could at last identify and treat step by step all these risk factors implicated in MS, targeting in this way a better control of a complex clinical condition like MS, before to select MS patients candidates to idiopathic PVCs catheter ablation.</p><p>In our opinion next clinical question may be to evaluate in a future prospective randomized trial if a more effective and aggressive control of all these risk factors associated with MS may lead to a better ablation outcome.</p><p>This treatment before a catheter ablative approach in MS may be more beneficial and influence short term and long term follow up outcome of idiopathic or benign PVCs .</p><p>C. S. received an European Society of Cardiology and European Heart Rhythm Association training grant. S. K. received a Hellenic Cardiological Society training grant. V. K. received a European Society of Cardiology training grant, an European Association of Cardiovascular Imaging research grant.</p>
			</sec>
			<sec>
				<st>
					<p>Study limitations</p>
				</st><p>Several limitations may have influenced our results. First, although periodic 12-lead ECG and 24&#160;hour Holter were performed during the follow-up period, episodes of asymptomatic PVCs or more serious arrhythmias might have been missed in some patients. Second, the study sample size and follow-up duration may have been insufficient to fully characterize the incidence of lethal arrhythmias among study groups. Third, patients were not followed for any status change in their MS component, that may affect and influence long term ablation outcome. Fourth, we did not obtain waist circumference measurement data, which would have illustrated the abdominal obesity status of the patients, which is considered by some as better tool to assess obesity.</p><p>Last, number of subjects and ages in the study and control are not similar.</p>
			</sec>
		</sec>
		<sec>
			<st>
				<p>Conclusions</p>
			</st><p>The current study demonstrated that after PVCs catheter ablation in structurally and functionally normal ventricles, the patients with MS had significantly higher acute and delayed recurrence rate of PVCs at follow up. Moreover, MS was an independent predictor of arrhythmia recurrence during the follow-up. MS and its proinflammatory status may represent a chronic irritative mechanism in these patients, leading to subclinical alterations that can affect catheter ablation outcomes, with an higher recurrence rate in PVCs mediated via inflammation.</p>
		</sec>
		<sec>
			<st>
				<p>Competing interests</p>
			</st><p>The authors declare that they have no competing interests.</p>
		</sec>
		<sec>
			<st>
				<p>Authors&#8217; contributions</p>
			</st><p>CS made conception and study design, acquisition, analysis and interpretation of data and wrote and reviewed the manuscript. SK performed the statistical analysis and reviewed the manuscript. VK has reviewed the manuscript critically. RM participated in study design and coordination, and has been involved in revising critically the manuscript and has given final approval of the version to be published. All authors read and approved the final manuscript version.</p>
		</sec>
	</bdy>
	<bm>
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	<sec><st><p>Pre-publication history</p></st><p>The pre-publication history for this paper can be accessed here:</p><p><url>http://www.biomedcentral.com/1471-2261/14/176/prepub</url></p></sec></bm>
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