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<article article-type="research-article" dtd-version="1.0" specific-use="sps-1.7" xml:lang="en" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">
	<front>
		<journal-meta>
			<journal-id journal-id-type="nlm-ta">Braz J Cardiovasc Surg</journal-id>
			<journal-id journal-id-type="publisher-id">rbccv</journal-id>
			<journal-title-group>
				<journal-title>Brazilian Journal of Cardiovascular Surgery</journal-title>
				<abbrev-journal-title abbrev-type="publisher">Braz. J. Cardiovasc.
					Surg.</abbrev-journal-title>
			</journal-title-group>
			<issn pub-type="ppub">0102-7638</issn>
			<issn pub-type="epub">1678-9741</issn>
			<publisher>
				<publisher-name>Sociedade Brasileira de Cirurgia Cardiovascular</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">10.21470/1678-9741-2018-0235</article-id>
			<article-id pub-id-type="publisher-id">00004</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>ORIGINAL ARTICLE</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>Behavior of Ultrasensitive C-Reactive Protein in Myocardial
					Revascularization with and without Cardiopulmonary Bypass</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<name>
						<surname>Abrantes</surname>
						<given-names>Rafael Diniz</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">1</xref>
					<xref ref-type="corresp" rid="c1"/>
					<role>MD, MSc, PhD</role>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Hueb</surname>
						<given-names>Alexandre Ciappina</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">1</xref>
					<xref ref-type="aff" rid="aff2">2</xref>
					<role>MD, PhD</role>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Hueb</surname>
						<given-names>Whady</given-names>
					</name>
					<xref ref-type="aff" rid="aff2">2</xref>
					<role>MD, PhD</role>
				</contrib>
				<contrib contrib-type="author">
					<name>
						<surname>Jatene</surname>
						<given-names>Fabio B.</given-names>
					</name>
					<xref ref-type="aff" rid="aff2">2</xref>
					<role>MD, PhD</role>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution content-type="orgname">Hospital das Clínicas Samuel
					Libânio</institution>
				<institution content-type="orgdiv1">Cardiovascular Surgery Division</institution>
				<addr-line>
        <named-content content-type="city">Pouso Alegre</named-content>
        <named-content content-type="state">MG</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<institution content-type="original">Cardiovascular Surgery Division, Hospital das
					Clínicas Samuel Libânio (HCSL), Pouso Alegre, MG, Brazil.</institution>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution content-type="orgname">Hospital das Clínicas da Universidade de São Paulo</institution>
				<institution content-type="orgdiv1">Hospital das Clínicas da Universidade de São Paulo</institution>
				<institution content-type="orgdiv2">Hospital das Clínicas da Universidade de São Paulo</institution>
				<addr-line>
        <named-content content-type="city">São Paulo</named-content>
        <named-content content-type="state">SP</named-content>
				</addr-line>
				<country country="BR">Brazil</country>
				<institution content-type="original">Cardiovascular Surgery Division, Instituto do
					Coração do Hospital das Clínicas da Faculdade de Medicina da Universidade de São
					Paulo (InCor-HCFMUSP), São Paulo, SP, Brazil.</institution>
			</aff>
			<author-notes>
				<corresp id="c1">Correspondence Address: Rafael Diniz Abrantes, Rua Comendador José
					Garcia, 777 - Centro - Pouso Alegre, MG, Brazil, Zip code: 37550-000. E-mail:
						<email>rafaelcardio@gmail.com</email></corresp>
				<fn fn-type="conflict">
					<p>No conflict of interest.</p>
				</fn>
			</author-notes>
			<pub-date pub-type="epub-ppub">
				<season>Nov-Dec</season>
				<year>2018</year>
			</pub-date>
			<volume>33</volume>
			<issue>6</issue>
			<fpage>535</fpage>
			<lpage>541</lpage>
			<history>
				<date date-type="received">
					<day>12</day>
					<month>08</month>
					<year>2018</year>
				</date>
				<date date-type="accepted">
					<day>31</day>
					<month>08</month>
					<year>2018</year>
				</date>
			</history>
			<permissions>
				<license license-type="open-access"
					xlink:href="http://creativecommons.org/licenses/by/4.0/" xml:lang="en">
					<license-p>This is an Open Access article distributed under the terms of the
						Creative Commons Attribution License, which permits unrestricted use,
						distribution, and reproduction in any medium, provided the original work is
						properly cited.</license-p>
				</license>
			</permissions>
			<abstract>
				<title>Abstract</title>
				<sec>
					<title>Objective:</title>
					<p>To analyze the inflammation resulting from myocardial revascularization
						techniques with and without cardiopulmonary bypass, based on ultrasensitive
						C-reactive protein (US-CRP) behavior.</p>
				</sec>
				<sec>
					<title>Methods:</title>
					<p>A prospective non-randomized clinical study with 136 patients was performed.
						Sixty-nine patients were enrolled for Group 1 (on-pump coronary artery
						bypass - ONCAB) and 67 patients were assigned to Group 2 (off-pump coronary
						artery bypass - OPCAB). All study participants had blood samples collected
						for analysis of glucose, triglycerides, creatinine, total cholesterol,
						high-density lipoprotein (HDL), low-density lipoprotein (LDL) and
						creatinephosphokinase (CPK) in the preoperative period. The samples of
						creatinephosphokinase MB (CKMB), troponin I (TnI) and US-CRP were collected
						in the preoperative period and at 6, 12, 24, 36, 48 and 72 hours after
						surgery. We also analyzed the preoperative biological variables of each
						patient (age, smoking, diabetes mellitus, left coronary trunk lesion, body
						mass index, previous myocardial infarction, myocardial fibrosis). All
						angiographically documented patients with &gt;70% proximal multiarterial
						stenosis and ischemia, documented by stress test or classification of stable
						angina (class II or III), according to the Canadian Cardiovascular Society,
						were included. Reoperations, combined surgeries, recent acute myocardial
						infarction, recent inflammatory disease, deep venous thrombosis or recent
						pulmonary thromboembolism, acute kidney injury or chronic kidney injury were
						not included.</p>
				</sec>
				<sec>
					<title>Results:</title>
					<p>Correlation values between the US-CRP curve and the ONCAB group, the
						treatment effect and the analyzed biological variables did not present
						expressive results. Laboratory variables were evaluated and did not
						correlate with the applied treatment (<italic>P</italic>&gt;0.05).</p>
				</sec>
				<sec>
					<title>Conclusion:</title>
					<p>The changes in the US-CRP at each moment evaluated from the postoperative
						period did not show any significance in relation to the surgical technique
						applied.</p>
				</sec>
			</abstract>
			<kwd-group xml:lang="en">
				<title>Keywords:</title>
				<kwd>C-Reactive Protein</kwd>
				<kwd>Atherosclerosis</kwd>
				<kwd>Myocardial Revascularization</kwd>
				<kwd>Coronary Artery Bypass</kwd>
				<kwd>Coronary Artery Bypass, Off-Pump</kwd>
				<kwd>Inflammation</kwd>
				<kwd>Cardiopulmonary Bypass</kwd>
			</kwd-group>
		</article-meta>
	</front>
	<body>
		<table-wrap id="t2">
						<alternatives>
							<graphic xlink:href="t0.jpg"/>
			<table frame="hsides" rules="groups">
				<colgroup>
					<col width="10%"/>
					<col width="38%"/>
					<col width="05%"/>
					<col width="10%"/>
					<col width="37%"/>
				</colgroup>
				<thead>
					<tr>
						<th align="left" colspan="2" style="background-color:#eaeaea">Abbreviations,
							acronyms &amp; symbols</th>
						<th align="center">&#x00A0;</th>
						<th align="center" colspan="2" style="background-color:#eaeaea"
							>&#x00A0;</th>
					</tr>
				</thead>
				<tbody>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>AKI</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Acute kidney
								injury</bold></td>
						<td align="left">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>HDL</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= High-density
								lipoprotein</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>AMI</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Anterior
								myocardial infarction</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>KF</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Kidney
								failure</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>BMI</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Body mass
								index</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>LCT</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Left coronary
								trunk lesion</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CABG</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Coronary artery
								bypass grafting</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>LDL</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Low-density
								lipoprotein</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CAD</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Coronary artery
								disease</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>LVEF</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Left ventricular
								ejection fraction</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CCS</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Canadian
								Cardiovascular Society</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>MI</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Myocardial
								infarction</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CKMB</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>=
								Creatinephosphokinase MB</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>ONCAB</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= On-pump coronary
								artery bypass</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CMR</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Cardiac magnetic
								resonance</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>OPCAB</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Off-pump coronary
								artery bypass</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CPB</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Cardiopulmonary
								bypass</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>PTE</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Pulmonary
								thromboembolism</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CPK</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>=
								Creatinephosphokinase</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>SAH</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Systolic arterial
								hypertension</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CKI</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Chronic kidney
								injury</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>SIRS</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Systemic
								inflammatory response syndrome</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CRP</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= C-reactive
								protein</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>ST</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Stress
							test</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CVA</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Cerebrovascular
								accident</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>TC</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Total
								cholesterol</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>CVEs</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Cardiovascular
								events</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>TG</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>=
								Triglycerides</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>DM</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Diabetes
								mellitus</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>TnI</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Troponin
							I</bold></td>
					</tr>
					<tr>
						<td align="left" style="background-color:#eaeaea"><bold>DVT</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Deep vein
								thrombosis</bold></td>
						<td align="left" style="background-color:white">&#x00A0;</td>
						<td align="left" style="background-color:#eaeaea"><bold>US-CRP</bold></td>
						<td align="left" style="background-color:#eaeaea"><bold>= Ultrasensitive
								C-reactive protein</bold></td>
					</tr>
				</tbody>
			</table>
		</alternatives>
		</table-wrap>
		<sec sec-type="intro">
			<title>INTRODUCTION</title>
			<p>In 1930, Tillet and Francis<sup>[</sup><xref ref-type="bibr" rid="B1"
					>1</xref><sup>]</sup> published the first report on the occasional discovery of
				C-reactive protein (CRP). In 1943, the first clues to the possible connection
				between CRP and atherothrombotic events were described by Lofstrom<sup>[</sup><xref
					ref-type="bibr" rid="B2">2</xref><sup>]</sup> and later by Kroop and
					Shackman<sup>[</sup><xref ref-type="bibr" rid="B3">3</xref><sup>]</sup>, in the
				mid-1950s.</p>
			<p>But it was in the mid-1990s, through immunoassays, that this protein with a
				pentameric structure gained considerable worldwide interest when its prognostic
				involvement for future cardiovascular events (CVEs) was published<sup>[</sup><xref
					ref-type="bibr" rid="B4">4</xref><sup>]</sup>. Recent studies have shown the
				central role of inflammation in coronary artery disease (CAD)<sup>[</sup><xref
					ref-type="bibr" rid="B5">5</xref><sup>]</sup>, as well as its influence on the
				instability of the coronary plaques causing acute CVEs<sup>[</sup><xref
					ref-type="bibr" rid="B6">6</xref><sup>,</sup><xref ref-type="bibr" rid="B7"
					>7</xref><sup>]</sup>. This latter characteristic emphasizes the utmost
				importance for this work in the choice of the ultrasensitive C-reactive protein
				(US-CRP) for the evaluation of the inflammatory profile resulting from on-pump
				coronary artery bypass (ONCAB) and off-pump coronary artery bypass (OPCAB).</p>
			<p>Even with all the advances achieved in cardiovascular surgery, the circuit used for
				cardiopulmonary bypass (CPB) still leads to perioperative and postoperative
				disorders, the most common being the systemic inflammatory response syndrome (SIRS),
				and coagulation disorders<sup>[</sup><xref ref-type="bibr" rid="B8"
					>8</xref><sup>,</sup><xref ref-type="bibr" rid="B9">9</xref><sup>]</sup>.</p>
			<p>The injuries caused by CPB during the surgical procedure motivated a great deal of
				interest in recent studies on OPCAB, pioneered by Kolessov<sup>[</sup><xref
					ref-type="bibr" rid="B10">10</xref><sup>]</sup>, in 1964. Following the
				hypothetical current of CPB withdrawal to minimize the risks of the surgical
					procedure<sup>[</sup><xref ref-type="bibr" rid="B11">11</xref><sup>]</sup>, some
				initial series of patients undergoing OPCAB were published, with a special nod to
				Buffolo et al.<sup>[</sup><xref ref-type="bibr" rid="B12">12</xref><sup>-</sup><xref
					ref-type="bibr" rid="B14">14</xref><sup>]</sup>, in Brazil, and Benetti et
					al.<sup>[</sup><xref ref-type="bibr" rid="B15">15</xref><sup>]</sup>, in
				Argentina.</p>
			<p>Biomolecular studies have deepened in recent decades, revealing more details of the
				inflammatory pathophysiology caused to the human body by CPB. This has become a
				major attempt to intuitively show that OPCAB has greater benefits for patients.</p>
			<p>Cochrane database<sup>[</sup><xref ref-type="bibr" rid="B16">16</xref><sup>]</sup>,
				in contrast to the new trend of thought, disclosed its data showing a higher
				long-term mortality of OPCAB after a systematic review. Large trials such as
					MASS-III<sup>[</sup><xref ref-type="bibr" rid="B17">17</xref><sup>]</sup>,
					ROOBY<sup>[</sup><xref ref-type="bibr" rid="B18">18</xref><sup>]</sup>,
					DOORS<sup>[</sup><xref ref-type="bibr" rid="B19">19</xref><sup>]</sup>,
					GOPCABE<sup>[</sup><xref ref-type="bibr" rid="B20">20</xref><sup>]</sup> and
					CORONARY<sup>[</sup><xref ref-type="bibr" rid="B21">21</xref><sup>-</sup><xref
					ref-type="bibr" rid="B24">24</xref><sup>]</sup>, which evaluated the comparative
				results between the techniques with and without CPB, had, as their primary outcomes,
				mortality, nonfatal myocardial infarction (MI), cerebrovascular accident (CVA) and
				kidney failure (KF) with a need for dialysis. However, literature does not present
				reports comparing the inflammatory profile triggered by the two techniques under
				trial.</p>
			<p>With so many studies and results often contradictory, biological markers become
				increasingly important in trying to explain the impact caused by one or another
				surgical technique. And this will be the aim of this work: to evaluate systemic
				inflammation and its effects through the behavior of US-CRP in ONCAB or OPCAB.</p>
		</sec>
		<sec sec-type="methods">
			<title>METHODS</title>
			<p>Between May 2012 and March 2014, 326 prospective, nonrandomized patients were
				eligible for coronary artery bypass grafting (CABG) in a single center, and 219 were
				included in this trial. The main reasons for the exclusion of 107 patients are
				presented in <xref ref-type="fig" rid="f1">Figure 1</xref>. Of the included
				patients, 148 were divided into two groups. In Group 1, 75 patients were assigned to
				undergo ONCAB, and in Group 2, 73 were assigned to undergo OPCAB (<xref
					ref-type="fig" rid="f1">Figure 1</xref>).</p>
			<p>
				<fig id="f1">
					<label>Fig. 1</label>
					<caption>
						<title>Diagram of MASS-V Trial participants. CMR - Cardiac magnetic
							resonance.</title>
					</caption>
					<graphic xlink:href="0102-7638-rbccv-33-06-0535-gf01.jpg"/>
					<attrib>Source: Modified figure of Hueb et al<sup>[</sup><xref ref-type="bibr"
							rid="B25">25</xref><sup>]</sup>.</attrib>
				</fig>
			</p>
			<p>The groups were considered comparable according to the biological and laboratorial
				variables analyzed, except for the greater occurrence of systolic arterial
				hypertension (SAH) in Group 1 and acute myocardial infarction (AMI) in Group 2
					(<xref ref-type="table" rid="t1">Table 1</xref>).</p>
			<table-wrap id="t1">
				<label>Table 1</label>
				<caption>
					<title>Descriptive values of the evaluated variables.</title>
				</caption>
						<alternatives>
							<graphic xlink:href="t1.jpg"/>
				<table frame="hsides" rules="all">
					<colgroup>
						<col width="14%"/>
						<col width="14%"/>
						<col width="16%"/>
						<col width="19%"/>
						<col width="19%"/>
						<col width="14%"/>
					</colgroup>
					<thead>
						<tr>
							<th align="left" colspan="2" rowspan="2">Variable</th>
							<th align="center" rowspan="2">Sample<break/>(n=136)</th>
							<th align="center" colspan="2">Groups</th>
							<th align="center" rowspan="2"><italic>P</italic></th>
						</tr>
						<tr>
							<th>With CPB (n=69)</th>
							<th>Without CPB (n=67)</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" colspan="2">Age (years)</td>
							<td align="center">62.19&#x00b1;9.26</td>
							<td align="center">61.71&#x00b1;8.60</td>
							<td align="center">62.69&#x00b1;9.94</td>
							<td align="center">0.541<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">Age &lt;70 years</td>
							<td align="center">104 (76.5%)</td>
							<td align="center">54 (78.3%)</td>
							<td align="center">50 (74.6%)</td>
							<td align="center">0.617<xref ref-type="table-fn" rid="TFN03"
										><sup>2</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">Gender: male</td>
							<td align="center">93 (68.4%)</td>
							<td align="center">48 (69.6%)</td>
							<td align="center">45 (67.2%)</td>
							<td align="center">0.763<xref ref-type="table-fn" rid="TFN03"
										><sup>2</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">BMI (kg/m<sup>2</sup>)</td>
							<td align="center">28.11&#x00b1;4.34</td>
							<td align="center">28.68&#x00b1;4.44</td>
							<td align="center">27.53&#x00b1;4.20</td>
							<td align="center">0.122<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">LCT lesion</td>
							<td align="center">40 (29.4%)</td>
							<td align="center">21 (30,4%)</td>
							<td align="center">19 (28.4%)</td>
							<td align="center">0.791<xref ref-type="table-fn" rid="TFN03"
										><sup>2</sup></xref></td>
						</tr>
						<tr>
							<td align="left" rowspan="6">Coronary</td>
							<td align="left">One</td>
							<td align="center">1 (0.7%)</td>
							<td align="center">___</td>
							<td align="center">1 (1.5%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">Two</td>
							<td align="center">33 (24.3%)</td>
							<td align="center">14 (20.3%)</td>
							<td align="center">19 (28.4%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">Three</td>
							<td align="center">102 (75%)</td>
							<td align="center">55 (79.7%)</td>
							<td align="center">47 (70.2%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">LADA (%)</td>
							<td align="center">79.54&#x00b1;16.94</td>
							<td align="center">81.61&#x00b1;15.69</td>
							<td align="center">77.40&#x00b1;18</td>
							<td align="center">0.148<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left">Cx  (%)</td>
							<td align="center">77.13&#x00b1;20.03</td>
							<td align="center">80.36&#x00b1;16.56</td>
							<td align="center">73.46&#x00b1;22.95</td>
							<td align="center">0.059<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left">RC  (%)</td>
							<td align="center">81.42&#x00b1;21.96</td>
							<td align="center">80.74&#x00b1;21.96</td>
							<td align="center">82.17&#x00b1;22.11</td>
							<td align="center">0.718<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" rowspan="3">Smoking</td>
							<td align="left">Yes</td>
							<td align="center">36 (26.5%)</td>
							<td align="center">23 (33.3%)</td>
							<td align="center">13 (19.4%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">Ex</td>
							<td align="center">74 (54.4%)</td>
							<td align="center">37 (53.6%)</td>
							<td align="center">37 (55.2%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">No</td>
							<td align="center">26 (19.1%)</td>
							<td align="center">9 (13.1%)</td>
							<td align="center">17 (25.4%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left" colspan="2">Prior AMI</td>
							<td align="center">43 (31.6%)</td>
							<td align="center">16 (23.2%)</td>
							<td align="center">27 (40.3%)</td>
							<td align="center">0.032<xref ref-type="table-fn" rid="TFN03"
										><sup>2</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">SAH</td>
							<td align="center">116 (85.3%)</td>
							<td align="center">63 (91.3%)</td>
							<td align="center">53 (79.1%)</td>
							<td align="center">0.045<xref ref-type="table-fn" rid="TFN03"
										><sup>2</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">DM</td>
							<td align="center">68 (50%)</td>
							<td align="center">33 (47.8%)</td>
							<td align="center">35 (52.2%)</td>
							<td align="center">0.607<xref ref-type="table-fn" rid="TFN03"
										><sup>2</sup></xref></td>
						</tr>
						<tr>
							<td align="left" rowspan="5">Angina (degree)</td>
							<td align="left">0</td>
							<td align="center">16 (11.8%)</td>
							<td align="center">8 (11.6%)</td>
							<td align="center">8 (11.9%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">1</td>
							<td align="center">18 (13.2%)</td>
							<td align="center">8 (11.6%)</td>
							<td align="center">10 (14.9%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">2</td>
							<td align="center">60 (44.1%)</td>
							<td align="center">33 (47.8%)</td>
							<td align="center">27 (40.3%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">3</td>
							<td align="center">28 (20.6%)</td>
							<td align="center">12 (17.4%)</td>
							<td align="center">16 (23.9%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left">4</td>
							<td align="center">14 (10.3%)</td>
							<td align="center">8 (11.6%)</td>
							<td align="center">6 (9%)</td>
							<td align="center">&#x00A0;</td>
						</tr>
						<tr>
							<td align="left" colspan="2">Cholesterol</td>
							<td align="center">167.47&#x00b1;45.67</td>
							<td align="center">162.23&#x00b1;39.36</td>
							<td align="center">173.03&#x00b1;51.25</td>
							<td align="center">0.176<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">LDL</td>
							<td align="center">97.75&#x00b1;37.27</td>
							<td align="center">95.07&#x00b1;34.64</td>
							<td align="center">100.60&#x00b1;39.94</td>
							<td align="center">0.393<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">HDL</td>
							<td align="center">38.27&#x00b1;12.17</td>
							<td align="center">38.51&#x00b1;12</td>
							<td align="center">38.02&#x00b1;12.44</td>
							<td align="center">0.816<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">TG</td>
							<td align="center">163.64&#x00b1;125.25</td>
							<td align="center">154.57&#x00b1;134.34</td>
							<td align="center">173.28&#x00b1;115.08</td>
							<td align="center">0.390<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">Glucose</td>
							<td align="center">134.04&#x00b1;52.77</td>
							<td align="center">134.32&#x00b1;54.28</td>
							<td align="center">133.76&#x00b1;51.57</td>
							<td align="center">0.951<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">Creatinine</td>
							<td align="center">1.04&#x00b1;0.27</td>
							<td align="center">1.05&#x00b1;0.28</td>
							<td align="center">1.03&#x00b1;0.26</td>
							<td align="center">0.556<xref ref-type="table-fn" rid="TFN02"
										><sup>1</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">Preoperative fibrosis</td>
							<td align="center">3.64&#x00b1;5.63</td>
							<td align="center">4.42&#x00b1;6.61</td>
							<td align="center">2.60&#x00b1;4.80</td>
							<td align="center">0.111<xref ref-type="table-fn" rid="TFN05"
										><sup>4</sup></xref></td>
						</tr>
						<tr>
							<td align="left" colspan="2">Postoperative fibrosis</td>
							<td align="center">5.75&#x00b1;6.56</td>
							<td align="center">6.16&#x00b1;6.69</td>
							<td align="center">5.22&#x00b1;6.42</td>
							<td align="center">0.508<xref ref-type="table-fn" rid="TFN05"
										><sup>4</sup></xref></td>
						</tr>
					</tbody>
				</table>
			</alternatives>
				<table-wrap-foot>
					<fn id="TFN01">
						<p>AMI=acute myocardial infarction; BMI=body mass index; CPB=cardiopulmonary
							bypass; Cx=circumflex artery; DM=diabetes mellitus; LADA=left anterior
							descending artery; LCT=left coronary trunk lesion; RC=right coronary
							artery; SAH=systolic arterial hypertension; TG=tryglicerides</p>
					</fn>
					<fn id="TFN02">
						<label>1</label>
						<p>Descriptive level of probability of Student's t-test.</p>
					</fn>
					<fn id="TFN03">
						<label>2</label>
						<p>Descriptive level of probability of the chi-square test.</p>
					</fn>
					<fn id="TFN04">
						<label>3</label>
						<p>Descriptive level of probability of the Fisher’s exact test.</p>
					</fn>
					<fn id="TFN05">
						<label>4</label>
						<p>Descriptive level of probability of the Mann-Whitney non-parametric
							test.</p>
					</fn>
				</table-wrap-foot>
			</table-wrap>
			<p>Of all these patients, 12 were excluded (7 for claustrophobia on cardiac magnetic
				resonance - CMR, 3 for stroke and 2 for sepsis). The remaining 136 patients were
				divided into 2 groups with 69 patients assigned to Group 1 and 67 to Group 2 (<xref
					ref-type="fig" rid="f2">Figure 2</xref>). All participants in the study had
				blood samples collected for the analysis of glucose, triglycerides (TG), creatinine,
				total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein
				(LDL) and creatinephosphokinase (CPK) in the preoperative period. The samples of
				creatinephosphokinase MB (CKMB), troponin I (TnI) and US-CRP were collected in the
				preoperative period and after 6, 12, 24, 36, 48, and 72 hours from the surgery. The
				laboratory analysis provided the US-CRP that was analyzed in a univariate and
				bivariate way. We also analyzed in the preoperative biological variables of each
				patient [age, smoking, diabetes mellitus (DM), left coronary trunk lesion (LCT),
				body mass index (BMI), previous MI, myocardial fibrosis]. The presence of myocardial
				fibrosis was analyzed by CMR 2 days before surgery (F1= preoperative fibrosis) and 6
				days after surgery (F2= postoperative fibrosis). All angiographically documented
				patients with &gt;70% proximal multiarterial stenosis and ischemia, documented by
				stress test (ST) or classification of stable angina (Class II or III), according to
				the Canadian Cardiovascular Society (CCS), were included. Reoperations, combined
				surgeries, recent AMI (&#x2264;6 months), recent inflammatory disease, deep vein
				thrombosis (DVT) or recent pulmonary thromboembolism (PTE), acute kidney injury
				(AKI), or chronic kidney injury (CKI), were not included.</p>
			<p>
				<fig id="f2">
					<label>Fig. 2</label>
					<caption>
						<title>Behavior of the usCRP during the moments evaluated in the groups with
							and without CPB.</title>
					</caption>
					<graphic xlink:href="0102-7638-rbccv-33-06-0535-gf02.jpg"/>
				</fig>
			</p>
		</sec>
		<sec sec-type="results">
			<title>RESULTS</title>
			<p>It was observed that there was an increase in the US-CRP values obtained in the
				postoperative period in relation to the preoperative period
				(<italic>P</italic>&lt;0.001). This change was significant in relation to the
				myocardial revascularization techniques employed. A bivariate analysis correlated
				the area under the US-CRP curve and the other variables analyzed and no statistical
				significance was observed (<italic>P</italic>&gt;0.05), except for the CPK curve
				that resulted in a positive correlation in Group 1 (<italic>P</italic>=0.015). <xref
					ref-type="fig" rid="f2">Figure 2</xref> shows the behavior of the us-CRP at each
				evaluated moment.</p>
			<p>The plasma concentration of US-CRP varied over time in the postoperative period (6h,
				12h, 24h, 36, 48h and 72h) and its association with the other variables was assessed
				by calculating the area below the curve of each patient.</p>
			<p>The US-CRP of the patients evaluated at each moment did not present statistical
				difference in the studied groups (<italic>P</italic>=0.867). The means of
				evaluations in Group 1 and Group 2 are represented in <xref ref-type="fig" rid="f3"
					>Figure 3</xref>.</p>
			<p>
				<fig id="f3">
					<label>Fig. 3</label>
					<caption>
						<title>Association of the area under usCRP curve in the studied
							groups.</title>
					</caption>
					<graphic xlink:href="0102-7638-rbccv-33-06-0535-gf03.jpg"/>
				</fig>
			</p>
		</sec>
		<sec sec-type="discussion">
			<title>DISCUSSION</title>
			<p>The results observed in this study were surprising because it is understood that the
				maintenance of a non-physiological condition, such as CPB, even for a short period,
				should in some way exacerbate the systemic inflammatory system.</p>
			<p>However, it was identified that the use or not of CPB in patients undergoing CABG,
				being of the same demographic profile, was not the trigger of the inflammatory
				response identified by US-CRP. It is interesting to observe that the world
				literature lacks information on US-CRP as a marker of the inflammatory response in
				the comparison between ONCAB and OPCAB.</p>
			<p>The fact is that several well-conducted studies and trials have identified its
				elevation, but in conditions where there are already predictive variables of
				elevated or altered systemic injuries<sup>[</sup><xref ref-type="bibr" rid="B26"
					>26</xref><sup>]</sup>.</p>
			<p>Other studies, such as that of Nezami et al.<sup>[</sup><xref ref-type="bibr"
					rid="B27">27</xref><sup>]</sup>, showed that there was no evolutionary
				difference in patients submitted to ONCAB or OPCAB, mainly in kidney injury, when
				US-CRP was assessed.</p>
			<p>In this study, we were able to identify that CPB was not the variable that
				exacerbated this response, at least under the aspect of US-CRP behavior.</p>
			<p>This assertion is corroborated by the fact that, in the postoperative period, we
				identified a marked increase in US-CRP, as shown in the results, specifically in
					<xref ref-type="fig" rid="f2">Figure 2</xref>, which assesses the US-CRP
				evolution times.</p>
			<p>In the 12<sup>th</sup> hour, one can observe an increase 40 times greater in the
				US-CRP baseline. In the 48<sup>th</sup> postoperative hour, we identified an US-CRP
				maximum peak, which was almost 100 times the baseline value. However, an interesting
				point was a similar behavior of US-CRP in patients undergoing ONCAB or OPCAB.</p>
			<p>Therefore, we can infer that the inflammatory response was triggered in the
				postoperative period. In fact, up to 72 hours postoperatively, US-CRP levels still
				remained very high, but without any difference across the groups. That is, CPB was
				not the most important variable, as a trigger of the inflammatory response.</p>
			<p>In the present study, the idea that the postoperative inflammatory response can be
				minimized by the non-use of CPB was not supported by the prism of the behavior of
				US-CRP, which is undoubtedly an important marker of the inflammatory response.</p>
			<p>In fact, as pointed out, there are few studies comparing the US-CRP behavior and
				predictive value in patients undergoing ONCAB or OPCAB. In order to assure the
				validity of the study, we opted to equalize preoperative demographic variables.
				Moreover, statistical analyzes segmented the arms according to profiles that could
				interfere with the results.</p>
			<p>Our results were based on univariate and bivariate analyzes regarding the CPB
				behavior over time and the treatments applied to the groups on or off-pump, thus
				guaranteeing greater robustness and consistency to the present work.</p>
			<p>We observed that, unlike other variables, CPK showed a positive and significant
				correlation when analyzed with the area of the US-CRP curve in the ONCAB group
					(<italic>P</italic>=0.015). Therefore, the higher the CPK value, the greater the
				value of the area under the curve of US-CRP and vice versa. In the OPCAB group we
				did not observe a significant correlation between these variables
					(<italic>P</italic>=0.761).</p>
			<p>Gerritsen et al.<sup>[</sup><xref ref-type="bibr" rid="B28">28</xref><sup>]</sup>
				compared patients undergoing ONCAB or OPCAB and identified a worsening of the renal
				function in patients submitted to ONCAB.</p>
			<p>Loef et al.<sup>[</sup><xref ref-type="bibr" rid="B29">29</xref><sup>]</sup>
				identified signs of increased oxidative stress, as measured by urinary
				concentrations of hypoxanthine, xanthine, and malondialdehyde in the ONCAB group,
				while only minor changes were reported in the OPCAB group.</p>
			<p>Data derived from the study carried out by Hueb et al.<sup>[</sup><xref
					ref-type="bibr" rid="B25">25</xref><sup>]</sup>, in MASS V, specifically
				analyzing renal function, did not reveal alterations in renal function when the
				ONCAB or OPCAB groups were compared.</p>
			<p>These insignificant changes in renal function were not connected to inflammatory
				markers. In our analyzes, we observed that there was no significant correlation
				between creatinine and the area of the US-CRP curve in the group with or without CPB
					(<italic>P</italic>=0.797).</p>
			<p>Another very relevant aspect in the postoperative CABG is related to the injury that
				may develop in the myocardium. In this sense, we were careful to analyze the
				behavior of the myocardial necrosis markers together with US-CRP in the
				postoperative period.</p>
			<p>We analyzed the area under the US-CRP curve and the peak plasma concentration of CKMB
				and troponin (I) and there was no difference in these biomarkers in the
				postoperative period, either in Group 1 or in Group 2. Many inflammatory triggers
				could influence the US-CRP behavior.</p>
			<p>In the attempt to avoid bias, there was great concern in the identification and
				influence of biological variables (age, smoking, BMI, LCT, previous AMI, myocardial
				fibrosis) and laboratory variables (glucose, TG, creatinine, TC, HDL, LDL, CPK,
				CKMB, TnI) with pro-inflammatory potential in the behavior of this acute phase
				inflammatory protein in both techniques employed.</p>
			<p>Studies have shown small individual variations in serum concentrations of US-CRP in
				different, yet very similar, age groups, between men and women<sup>[</sup><xref
					ref-type="bibr" rid="B26">26</xref><sup>-</sup><xref ref-type="bibr" rid="B28"
					>28</xref><sup>]</sup>. Older individuals tend to have greater stability in
				US-CRP blood levels<sup>[</sup><xref ref-type="bibr" rid="B29"
				>29</xref><sup>]</sup>.</p>
			<p>The two-way analysis of variance, contrary to our expectations, showed no correlation
				between the area under the US-CRP curve and the subgroups analyzed
					(<italic>P</italic>=0.127) or the applied treatment (<italic>P</italic>=0.207).
				There was no prevalence of one myocardial revascularization technique over the other
				in this study, despite the inflammatory profile of smokers and former smokers.</p>
			<p>The strong link between AMI and serum levels of US-CRP is well demonstrated in the
					literature<sup>[</sup><xref ref-type="bibr" rid="B30">30</xref><sup>]</sup>.
				US-CRP has been shown to be a good predictor of recurrence of new coronary events in
				patients who have already suffered a heart attack<sup>[</sup><xref ref-type="bibr"
					rid="B31">31</xref><sup>]</sup>. Significantly, more patients with previous AMI
				were allocated to Group 2 (<xref ref-type="table" rid="t1">Table 1</xref>).</p>
			<p>Regarding this finding, there was no difference in the mean left ventricular ejection
				fraction (LVEF) between Group 1 (63%) and Group 2 (62%). Hypothetically, there was a
				bias trend of results due to the inflammatory profile of Group 2 patients.</p>
			<p>In contrast to the previous hypothesis, after the correlation between the area under
				the US-CRP curve and the previous AMI variable, no interaction was observed in the
				ONCAB group or in relation to the effect of the treatment in face of the CABG
				techniques employed.</p>
			<p>This study showed that there was no preferential CABG technique for patients with
				AMI, when the US-CRP behavior was analyzed.</p>
			<p>We can conclude this discussion by stating that, in relation to the known demographic
				profile and variables, to predict a worse postoperative prognosis in patients
				submitted to ONCAB or OPCAB, this study, through the analysis of a reliable
				inflammatory response marker, revealed that both myocardium revascularization
				surgery techniques, on or off-pump, promote an increase in the inflammatory
				response, increasing preoperative to postoperative US-CRP values.</p>
		</sec>
		<sec sec-type="conclusions">
			<title>CONCLUSION</title>
			<p>There was an increase in US-CRP in the postoperative period compared to the
				preoperative period. This increase occurred in all moments assessed postoperatively.
				There was no difference in the US-CRP behavior between the two myocardial
				revascularization techniques employed. We inferred that there was an increase the
				inflammatory process based on the behavior of the US-CRP from the preoperative to
				the postoperative period, without evidence of correlation with the biological
				variables (except CPK in the ONCAB group) and the operative techniques employed.</p>
			<table-wrap id="t3">
				<table frame="hsides" rules="groups">
					<colgroup>
						<col width="5%"/>
						<col width="95%"/>
					</colgroup>
					<thead>
						<tr>
							<th align="left" colspan="2"><bold>Authors’ roles &amp;
									responsibilities</bold></th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left">RDA</td>
							<td align="left">Substantial contributions to the conception or design
								of the work; or the acquisition, analysis, or interpretation of data
								for the work; final approval of the version to be published</td>
						</tr>
						<tr>
							<td align="left">ACH</td>
							<td align="left">Substantial contributions to the conception or design
								of the work; or the acquisition, analysis, or interpretation of data
								for the work; final approval of the version to be published</td>
						</tr>
						<tr>
							<td align="left">WH</td>
							<td align="left">Substantial contributions to the conception or design
								of the work; or the acquisition, analysis, or interpretation of data
								for the work; final approval of the version to be published</td>
						</tr>
						<tr>
							<td align="left">FBJ</td>
							<td align="left">Drafting the work or revising it critically for
								important intellectual content; final approval of the version to be
								published</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
		</sec>
	</body>
	<back>
		<fn-group>
			<fn fn-type="other">
				<p>This study was carried out at Instituto do Coração do Hospital das Clínicas da
					Faculdade de Medicina da Universidade de São Paulo (InCor-HCFMUSP), São Paulo,
					SP, Brazil.</p>
			</fn>
			<fn fn-type="supported-by">
				<p>No financial support.</p>
			</fn>
		</fn-group>
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