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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2020.588761</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic Value of Preoperative Hemoglobin Levels for Long-Term Outcomes of Acute Type B Aortic Dissection Post-thoracic Endovascular Aortic Repair</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Gao</surname> <given-names>Zhichun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Qin</surname> <given-names>Zhexue</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1014069/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>An</surname> <given-names>Zhixia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hou</surname> <given-names>Changchun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Luyu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jin</surname> <given-names>Jun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1033902/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Cardiology, Institute of Cardiovascular Diseases of People&#x00027;s Liberation Army</institution>, <addr-line>Chongqing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Cardiology, Xinqiao Hospital, Army Medical University (Third Military Medical University)</institution>, <addr-line>Chongqing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Robert Jeenchen Chen, Ohio State University Hospital, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Antonino S. Rubino, University of Campania Luigi Vanvitelli, Italy; Lixin Wang, Fudan University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Jun Jin  <email>xqyyjinjun&#x00040;163.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Heart Surgery, a section of the journal Frontiers in Cardiovascular Medicine</p></fn>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>11</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="collection">
<year>2020</year>
</pub-date>
<volume>7</volume>
<elocation-id>588761</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>08</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>09</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2020 Gao, Qin, An, Hou, Wang and Jin.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Gao, Qin, An, Hou, Wang and Jin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license> </permissions>
<abstract><p><bold>Background and Aims:</bold> There is scant information available about the prognostic value of preoperative hemoglobin (Hb) levels on the long-term outcomes of acute type B aortic dissection (ABAD) following thoracic endovascular aortic repair (TEVAR).</p>
<p><bold>Methods:</bold> A retrospective analysis of consecutive patients from 2010 to 2018 regarding the relationship between Hb level and long-term outcomes was conducted. The primary endpoint was all-cause mortality. Major adverse cardiovascular events (MACEs) included all-cause death, recurrent ruptures, and secondary procedures.</p>
<p><bold>Results:</bold> In total, 391 subjects treated by TEVAR were enrolled, with a mean age of 57.1 &#x000B1; 12.0 years; 79.5% of them were male. Cox multivariate analysis showed that the preoperative Hb level was independently associated with all-cause death [adjusted hazard ratio (HR) 0.797 (per 1 g/dl), 95% confidence interval (CI) 0.693&#x02013;0.918, <italic>p</italic> = 0.002] and MACEs (adjusted HR 0.795, 95% CI 0.672&#x02013;0.871, <italic>p</italic> = 0.000). The area under the receiver operating characteristic curve of Hb for all-cause death and MACEs were 0.617 (95% CI 0.548&#x02013;0.687, <italic>p</italic> = 0.008) and 0.617 (95% CI 0.551&#x02013;0.684, <italic>p</italic> = 0.005), respectively. In the linear trend test, Hb concentration was significantly related to all-cause mortality (<italic>p</italic> for trend = 0.001) and MACEs (<italic>p</italic> for trend = 0.000). Moreover, in Kaplan&#x02013;Meier analysis, lower Hb levels (&#x0003C; 12 g/dl) were significantly different from higher Hb (&#x02265;12 g/dl) levels for both all-cause death (log-rank <italic>p</italic> = 0.001) and MACEs (log-rank <italic>p</italic> = 0.001). Similar results were found when assessing the prognostic value of red blood cell count and anemia.</p>
<p><bold>Conclusions:</bold> Preoperative Hb may serve as a prognostic marker for long-range adverse outcomes for ABAD patients post-TEVAR.</p></abstract>
<kwd-group>
<kwd>hemoglobin</kwd>
<kwd>thoracic endovascular aortic repair</kwd>
<kwd>prognosis</kwd>
<kwd>aortic dissection</kwd>
<kwd>long-term</kwd>
</kwd-group>
<contract-num rid="cn001">81770247</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="35"/>
<page-count count="8"/>
<word-count count="5871"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>A dramatic surge in the incidence of acute aortic dissection has occurred over the last decade (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Aortic dissection is conventionally classified as Stanford A or B, with the latter involving the descending aorta (<xref ref-type="bibr" rid="B3">3</xref>). Acute type A aortic dissection is usually treated by surgery, whereas acute type B aortic dissection (ABAD) is often treated by thoracic endovascular aortic repair (TEVAR) and/or optimized drug agents. Despite the introduction of TEVAR, the in-hospital mortality of ABAD remains at 14% (<xref ref-type="bibr" rid="B4">4</xref>). According to a recent study (<xref ref-type="bibr" rid="B5">5</xref>), the late outcomes for ABAD patients are much worse, even when the TEVAR procedure is performed. Thus, it is of central importance to identify those with a high risk over the long term.</p>
<p>Serological examination has been considered to be a suitable and simple way to assess a patient&#x00027;s status at bedside. For example, the white blood cell (WBC) count, mean platelet volume to platelet count ratio, C-reactive protein (CRP) and serum creatinine levels (<xref ref-type="bibr" rid="B6">6</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>) have been reported to be associated with in-hospital outcomes in ABAD subjects. In other studies, N-terminal pro-B-type natriuretic peptide, Th17 cells, hypoalbuminemia, and thrombocytopenia were proposed to predict long-term outcomes of ABAD patients, with a median follow-up period ranging from 2 to 5 years (<xref ref-type="bibr" rid="B10">10</xref>&#x02013;<xref ref-type="bibr" rid="B13">13</xref>). However, given the severity and fatality of ABAD, it remains necessary to probe and seek more valuable prognostic indicators.</p>
<p>Hemoglobin (Hb) has been described as a prognostic marker in cardiovascular diseases such as acute heart failure, coronary artery disease, strokes and in those undergoing cardiac surgery (<xref ref-type="bibr" rid="B14">14</xref>&#x02013;<xref ref-type="bibr" rid="B17">17</xref>). Yet information about the relationship between Hb and ABAD is limited. Gorla et al. suggested that Hb was independently related to in-hospital outcomes of acute aortic syndrome (AAS) post-TEVAR (<xref ref-type="bibr" rid="B18">18</xref>), though 2-year outcomes were not independently associated with Hb levels. However, given its relatively small sample, further studies on the relationship between Hb and ABAD outcomes remain meaningful.</p>
<p>The present study aims to examine the association between Hb concentration and the long-term outcomes of ABAD patients who have undergone TEVAR in a relatively large population with a long follow-up period.</p>
</sec>
<sec id="s2">
<title>Method</title>
<sec>
<title>Study Population</title>
<p>A single-center retrospective study was conducted from May 2010 to December 2018 in Xinqiao Hospital of the Army Medical University (Third Military Medical University) in Chongqing, China. The participants were consecutively enrolled. The inclusion criteria were (1) diagnosed with ABAD by computed tomography (CT) angiography; (2) acute or subacute phase; and (3) TEVAR. Subjects with Marfan syndrome, trauma, iatrogenic injury, intramural hematoma, or past type A aortic dissection were excluded from the study. Those with severe heart failure, malignant cancer, and myocardial infarction were also excluded. Written informed consent were obtained from all the enrolled subjects. The present study conforms to the ethical guidelines of the 1975 Declaration of Helsinki and was approved by the ethics committee of Xinqiao Hospital.</p>
</sec>
<sec>
<title>Procedure and Treatment</title>
<p>All subjects received optimal antihypertensive therapy using angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs), calcium channel blockers, and/or &#x003B2;-blockers. The indication for TEVAR was assessed by multidisciplinary consultation, including two senior cardiologists and one radiologist. TEVAR was performed under general or local anesthesia by percutaneous or open femoral access. A pigtail catheter was advanced for angiography from the contralateral femoral side, with a stent graft delivered over a guide wire. Completion angiography was used to detect type I endoleak, a complication warranting urgent treatment.</p>
</sec>
<sec>
<title>Data Collection and Laboratory Measurements</title>
<p>The demographics and medical history of the patients were extracted from medical records. In this retrospective study, the old diagnostic criterion for hypertension was adopted (<xref ref-type="bibr" rid="B19">19</xref>). Diabetes mellitus was validated if fasting glucose &#x0003E; 126 mg/dl or hypoglycemic medications were used. Dyslipidemia was defined as serum total cholesterol higher than 5.72 mmol/L or treatment with antihyperlipidemic drugs. Anemia was defined as Hb level &#x0003C; 12 g/dl for men and &#x0003C; 11 g/dl for women according to Chinese criteria (<xref ref-type="bibr" rid="B20">20</xref>). WBC count, red blood cell (RBC), Hb level, serum creatinine, and other serum parameters were measured at admission while fasting and abstaining from smoking. Serum samples for blood cell counts were collected in sealed vacuum tubes from veins with the skin free of burns, edema, or cyanosis; the blood was tested 30 min to 8 h post-ethylenediaminetetraacetic acid anticoagulant processing. The results were obtained using automatic blood analyzers.</p>
</sec>
<sec>
<title>Follow-Up and Endpoint</title>
<p>The participants were followed up by telephone interviews and medical records. If the telephone number was not answered, questionnaires were sent to the address on file at the hospital. Loss to follow-up was defined as no response to three attempts of telephone contact or the questionnaire. To reassure the authenticity of follow-up, 10% of the follow-up results were randomly selected for review. The primary endpoint was defined as all-cause death, and the major adverse cardiovascular event (MACE) was a composite of all-cause death, recurrent rupture of dissection [<italic>International Classification of Diseases, Tenth Revision</italic> (ICD-10), I71.001], and secondary procedure.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>Continuous and categorical variables are described as means &#x000B1; standard variation and percentages (or frequencies), respectively. Intergroup differences for continuous data were estimated by the two-sample <italic>t</italic>-test or non-parametric Mann&#x02013;Whitney U test; the Fisher exact or &#x003C7;<sup>2</sup> test was utilized to assess intergroup differences for categorical data. The time-to-event curve was assessed by the Kaplan&#x02013;Meier method, with log-rank tests to compare different curves. Multivariable Cox proportional-hazards regression analysis using a forward conditional method was applied to identify the association between outcomes and Hb levels or RBC, introducing variables with <italic>p</italic> &#x0003C; 0.10 into univariate analysis. The hazard ratio (HR) and 95% confidence intervals (CIs) for Hb in the Cox model indicating the risk difference were calculated by increasing per 1 g/dl. A linear trend test was performed by entering the median value for each category of Hb or RBC quintiles, with HRs and 95% CIs calculated by Cox proportional-hazards regression models using a forward conditional method, which were adjusted for age, chronic obstructive pulmonary disease (COPD), hematocrit, cystatin C, urea nitrogen, and low-density lipoprotein-cholesterol (LDL-C) in the all-cause death model. The MACE model was adjusted for age, COPD, hematocrit, urea nitrogen, cystatin C, creatinine, total cholesterol, and LDL-C. We assessed the effect of Hb and RBC on patient outcomes by an area under the receiver operating characteristic (ROC) curve (AUC). HR and 95% CI were provided to display the power of associations. A two-sided <italic>p</italic> &#x0003C; 0.05 was considered statistically significant. All statistical analyses were conducted using Statistical Package for the Social Sciences version 25.0 (SPSS Inc., Chicago, IL, USA).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Demographic and Laboratory Examination Characteristics</title>
<p>In total, 445 patients were initially diagnosed with ABAD and underwent TEVAR (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>): 21 patients with traumatic dissections, seven with prior Stanford A dissections, six with Marfan syndrome, and one with iatrogenic injury were excluded. Fifteen subjects with severe heart failure, malignant cancer, or myocardial infarction were also excluded. Furthermore, five patients were lost to follow-up. Consequently, a total of 391 subjects were enrolled in the study. The baseline characteristics are summarized in <xref ref-type="table" rid="T1">Table 1</xref>. The mean age was 57.1 &#x000B1; 12.0 years, and 79.5% of the subjects were male. The median follow-up time was 56 months. Current smokers accounted for 54.7% of the included patients; 81.6% of the patients were diagnosed with hypertension. The mean Hb level and RBC count was 12.6 &#x000B1; 1.9 g/dl and 4.2 &#x000B1; 0.6 &#x000D7; 10<sup>12</sup>/L, respectively.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics at admission of the ABAD patients post-TEVAR.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Total</bold></th>
<th valign="top" align="center"><bold>Hb &#x0003C; 12 g/dl</bold></th>
<th valign="top" align="center"><bold>Hb &#x02265; 12 g/dl</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">391</td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">257</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">57.1 &#x000B1; 12.0</td>
<td valign="top" align="center">59.4 &#x000B1; 13.7</td>
<td valign="top" align="center">56.5 &#x000B1; 11.0</td>
<td valign="top" align="center">0.004<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">311 (79.5)</td>
<td valign="top" align="center">85 (63.4)</td>
<td valign="top" align="center">226 (87.9)</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">319 (81.6)</td>
<td valign="top" align="center">105 (78.4)</td>
<td valign="top" align="center">214 (83.3)</td>
<td valign="top" align="center">0.234</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">20 (5.1)</td>
<td valign="top" align="center">5 (3.7)</td>
<td valign="top" align="center">15 (5.8)</td>
<td valign="top" align="center">0.37</td>
</tr>
<tr>
<td valign="top" align="left">Current smoker</td>
<td valign="top" align="center">214 (54.7)</td>
<td valign="top" align="center">61 (45.5)</td>
<td valign="top" align="center">153 (59.5)</td>
<td valign="top" align="center">0.007<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">COPD</td>
<td valign="top" align="center">18 (4.6)</td>
<td valign="top" align="center">4 (3.0)</td>
<td valign="top" align="center">14 (5.4)</td>
<td valign="top" align="center">0.270</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidemia</td>
<td valign="top" align="center">18 (4.6)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">18 (7.0)</td>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="5">Drug treatment</td>
</tr>
<tr>
<td valign="top" align="left">ACEI/ARBs</td>
<td valign="top" align="center">300 (76.7)</td>
<td valign="top" align="center">95 (70.9)</td>
<td valign="top" align="center">205 (79.8)</td>
<td valign="top" align="center">0.045<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">CCBs</td>
<td valign="top" align="center">347 (88.7)</td>
<td valign="top" align="center">115 (85.8)</td>
<td valign="top" align="center">232 (90.3)</td>
<td valign="top" align="center">0.186</td>
</tr>
<tr>
<td valign="top" align="left">&#x003B2;-Blockers</td>
<td valign="top" align="center">310 (79.3)</td>
<td valign="top" align="center">100 (74.6)</td>
<td valign="top" align="center">210 (81.7)</td>
<td valign="top" align="center">0.085</td>
</tr>
<tr>
<td valign="top" align="left">Diuretics</td>
<td valign="top" align="center">189 (48.3)</td>
<td valign="top" align="center">61 (45.5)</td>
<td valign="top" align="center">128 (49.8)</td>
<td valign="top" align="center">0.381</td>
</tr>
<tr>
<td valign="top" align="left">SBP, mmHg</td>
<td valign="top" align="center">147.4 &#x000B1; 26.3</td>
<td valign="top" align="center">136.0 &#x000B1; 22.1</td>
<td valign="top" align="center">148.0 &#x000B1; 26.9</td>
<td valign="top" align="center">0.098</td>
</tr>
<tr>
<td valign="top" align="left">DBP, mmHg</td>
<td valign="top" align="center">84.7 &#x000B1; 23.9</td>
<td valign="top" align="center">85.0 &#x000B1; 14.9</td>
<td valign="top" align="center">86.8 &#x000B1; 54.0</td>
<td valign="top" align="center">0.046<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">WBC, &#x000D7;10<sup>12</sup>/L</td>
<td valign="top" align="center">9.8 &#x000B1; 3.6</td>
<td valign="top" align="center">8.6 &#x000B1; 3.6</td>
<td valign="top" align="center">10.0 &#x000B1; 3.5</td>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">RBC, &#x000D7;10<sup>12</sup>/L</td>
<td valign="top" align="center">4.2 &#x000B1; 0.6</td>
<td valign="top" align="center">3.5 &#x000B1; 0.6</td>
<td valign="top" align="center">4.5 &#x000B1; 0.5</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Hb, g/dl</td>
<td valign="top" align="center">12.6 &#x000B1; 1.9</td>
<td valign="top" align="center">10.3 &#x000B1; 1.3</td>
<td valign="top" align="center">13.7 &#x000B1; 1.3</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Platelet, &#x000D7;10<sup>9</sup>/L</td>
<td valign="top" align="center">167.0 (128.0&#x02013;226.0)</td>
<td valign="top" align="center">156.0 (123.0&#x02013;241.0)</td>
<td valign="top" align="center">153.0 (122.0&#x02013;200.0)</td>
<td valign="top" align="center">0.765</td>
</tr>
<tr>
<td valign="top" align="left">LDH, U/L</td>
<td valign="top" align="center">197.0 (171.0&#x02013;237.0)</td>
<td valign="top" align="center">206.8 (170.0&#x02013;244.5)</td>
<td valign="top" align="center">200.5 (173.0&#x02013;239.0)</td>
<td valign="top" align="center">0.873</td>
</tr>
<tr>
<td valign="top" align="left">Albumin, g/L</td>
<td valign="top" align="center">39.7 &#x000B1; 5.1</td>
<td valign="top" align="center">37.0 &#x000B1; 4.3</td>
<td valign="top" align="center">41.1 &#x000B1; 4.9</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Cystatin C, mg/L</td>
<td valign="top" align="center">1.00 (0.82&#x02013;1.23)</td>
<td valign="top" align="center">1.05 (0.85&#x02013;1.44)</td>
<td valign="top" align="center">0.96 (0.80&#x02013;1.19)</td>
<td valign="top" align="center">0.036<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Creatinine, &#x003BC;mol/L</td>
<td valign="top" align="center">78.8 (63.8&#x02013;98.8)</td>
<td valign="top" align="center">73.9 (55.5&#x02013;99)</td>
<td valign="top" align="center">80.0 (69.0&#x02013;94.0)</td>
<td valign="top" align="center">0.934</td>
</tr>
<tr>
<td valign="top" align="left">Urea nitrogen, mmol/L</td>
<td valign="top" align="center">6.9 &#x000B1; 3.1</td>
<td valign="top" align="center">7.4 &#x000B1; 4.3</td>
<td valign="top" align="center">6.7 &#x000B1; 2.9</td>
<td valign="top" align="center">0.431</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C, mmol/L</td>
<td valign="top" align="center">2.6 &#x000B1; 0.8</td>
<td valign="top" align="center">2.3 &#x000B1; 0.6</td>
<td valign="top" align="center">2.7 &#x000B1; 0.6</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol, mmol/L</td>
<td valign="top" align="center">4.2 &#x000B1; 1.1</td>
<td valign="top" align="center">3.9 &#x000B1; 1.0</td>
<td valign="top" align="center">4.4 &#x000B1; 0.9</td>
<td valign="top" align="center">0.002<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Continuous values are documented by mean &#x000B1; SD or median (1st quartile&#x02212;3rd quartile). Categorical variables are recorded by n (percentage)</italic>.</p>
<p><italic>ABAD, acute type B aortic dissection; TEVAR, thoracic endovascular aortic repair; CCB, calcium-channel blocker; ACEI, angiotensin-converting enzyme inhibitor; ARB, angiotensin receptor blocker; SBP, systolic blood pressure; DBP, diastolic blood pressure; WBC, white blood (cell) count; RBC, red blood cell count; COPD, chronic obstructive pulmonary disease; Hb, hemoglobin; LDH, lactate dehydrogenase; LDL-C, low-density lipoprotein-cholesterol</italic>.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Patients with preoperative Hb levels &#x0003C; 12 g/dl were likely older, female, non-smokers, and without hyperlipidemia. Moreover, they were more likely to have higher cystatin C and lower diastolic blood pressure (DBP), RBC, serum albumin, LDL-C, and total cholesterol levels and less likely be treated with ACEIs/ARBs. Compared with survivors, the deceased were frequently older; had COPD, higher cystatin C, and urea nitrogen; and were more likely to have lower Hb, RBC, platelet, LDL-C, and total cholesterol levels (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Baseline characteristics for survivors and non-survivors.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>Survivors</bold></th>
<th valign="top" align="center"><bold>Non-survivors</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">304</td>
<td valign="top" align="center">87</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">56.2 &#x000B1; 12.1</td>
<td valign="top" align="center">60.6 &#x000B1; 10.9</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">236 (77.6)</td>
<td valign="top" align="center">75 (86.2)</td>
<td valign="top" align="center">0.080</td>
</tr>
<tr>
<td valign="top" align="left">Current smoker</td>
<td valign="top" align="center">164 (53.9)</td>
<td valign="top" align="center">50 (57.5)</td>
<td valign="top" align="center">0.580</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">246 (80.9)</td>
<td valign="top" align="center">73 (83.9)</td>
<td valign="top" align="center">0.236</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">18 (5.9)</td>
<td valign="top" align="center">2 (2.3)</td>
<td valign="top" align="center">0.269</td>
</tr>
<tr>
<td valign="top" align="left">COPD</td>
<td valign="top" align="center">10 (3.3)</td>
<td valign="top" align="center">8 (9.2)</td>
<td valign="top" align="center">0.038<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidemia</td>
<td valign="top" align="center">17 (5.6)</td>
<td valign="top" align="center">1 (1.1)</td>
<td valign="top" align="center">0.141</td>
</tr>
<tr>
<td valign="top" align="left">SBP, mmHg</td>
<td valign="top" align="center">147.2 &#x000B1; 26.2</td>
<td valign="top" align="center">148.5 &#x000B1; 26.7</td>
<td valign="top" align="center">0.491</td>
</tr>
<tr>
<td valign="top" align="left">DBP, mmHg</td>
<td valign="top" align="center">84.8 &#x000B1; 25.9</td>
<td valign="top" align="center">84.5 &#x000B1; 15.0</td>
<td valign="top" align="center">0.410</td>
</tr>
<tr>
<td valign="top" align="left">WBC, &#x000D7;10<sup>12</sup>/L</td>
<td valign="top" align="center">9.8 &#x000B1; 3.5</td>
<td valign="top" align="center">9.7 &#x000B1; 4.0</td>
<td valign="top" align="center">0.524</td>
</tr>
<tr>
<td valign="top" align="left">RBC, &#x000D7;10<sup>12</sup>/L</td>
<td valign="top" align="center">4.3 &#x000B1; 0.6</td>
<td valign="top" align="center">4.0 &#x000B1; 0.6</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Hb, g/dl</td>
<td valign="top" align="center">12.8 &#x000B1; 1.9</td>
<td valign="top" align="center">12.0 &#x000B1; 1.9</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Platelet, &#x000D7;10<sup>9</sup>/L</td>
<td valign="top" align="center">174.0 (134.0&#x02013;226.3)</td>
<td valign="top" align="center">146.5 (114.5&#x02013;229.5)</td>
<td valign="top" align="center">0.020<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">LDH, U/L</td>
<td valign="top" align="center">196.0 (168.3&#x02013;231.7)</td>
<td valign="top" align="center">204.3 (179.6&#x02013;260.6)</td>
<td valign="top" align="center">0.095</td>
</tr>
<tr>
<td valign="top" align="left">Albumin, g/L</td>
<td valign="top" align="center">39.9 &#x000B1; 5.2</td>
<td valign="top" align="center">39.1 &#x000B1; 4.7</td>
<td valign="top" align="center">0.119</td>
</tr>
<tr>
<td valign="top" align="left">Creatinine, &#x003BC;mol/L</td>
<td valign="top" align="center">78.2 (63.9&#x02013;96.7)</td>
<td valign="top" align="center">82.1 (62.7&#x02013;120.4)</td>
<td valign="top" align="center">0.124</td>
</tr>
<tr>
<td valign="top" align="left">Cystatin C, mg/L</td>
<td valign="top" align="center">0.97 (0.80&#x02013;1.17)</td>
<td valign="top" align="center">1.09 (0.90&#x02013;1.49)</td>
<td valign="top" align="center">0.004<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Urea nitrogen, mmol/L</td>
<td valign="top" align="center">6.7 &#x000B1; 3.1</td>
<td valign="top" align="center">7.5 &#x000B1; 3.1</td>
<td valign="top" align="center">0.024<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">LDL-C, mmol/L</td>
<td valign="top" align="center">2.7 &#x000B1; 0.8</td>
<td valign="top" align="center">2.3 &#x000B1; 0.8</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol, mmol/L</td>
<td valign="top" align="center">4.3 &#x000B1; 0.9</td>
<td valign="top" align="center">3.9 &#x000B1; 1.5</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="TN2"><sup>&#x0002A;</sup></xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Continuous values are documented by mean &#x000B1; SD or median (1st quartile&#x02212;3rd quartile). Categorical variables are recorded by n (percentage)</italic>.</p>
<p><italic>SBP, systolic blood pressure; DBP, diastolic blood pressure; RBC, red blood cell count; COPD, chronic obstructive pulmonary disease; Hb, hemoglobin; LDH, lactate dehydrogenase; LDL-C, low-density lipoprotein-cholesterol; WBC, white blood (cell) count</italic>.</p>
<fn id="TN2">
<label>&#x0002A;</label>
<p><italic>p &#x0003C; 0.05</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Overall Outcomes</title>
<p>As shown in <xref ref-type="fig" rid="F1">Figure 1</xref>, outcomes were significantly different in terms of all-cause mortality between the preoperative Hb &#x0003C; 12 g/dl and Hb &#x02265; 12 g/dl groups (32.1% vs. 17.1%, <italic>p</italic> = 0.001). In contrast, no significant difference in in-hospital mortality (3.73% vs. 2.33%, <italic>p</italic> = 0.428), secondary procedures (2.24% vs. 0.78%, <italic>p</italic> = 0.344), or recurrent rupture (1.49% vs. 1.56%, <italic>p</italic> = 1.000) was found between the two groups (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 2</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>All-cause mortality between different hemoglobin levels.</p></caption>
<graphic xlink:href="fcvm-07-588761-g0001.tif"/>
</fig>
</sec>
<sec>
<title>Area Under the Receiver Operating Characteristic Curves and Linear Trend Test</title>
<p>The AUCs for preoperative Hb regarding all-cause death and MACEs were 0.617 (95% CI 0.548&#x02013;0.687, <italic>p</italic> = 0.008) and 0.617 (95% CI 0.551&#x02013;0.684, <italic>p</italic> = 0.005), respectively (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 3</xref>). The cutoff points for preoperative Hb with regard to all-cause death and MACEs were 11.05 and 11.15 g/dl (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). The linear trend test results between preoperative Hb concentration and outcomes are depicted in <xref ref-type="table" rid="T3">Table 3</xref>, and a lower Hb level was significantly associated with a higher risk of all-cause death (<italic>p</italic> for trend = 0.001) and MACEs (<italic>p</italic> for trend = 0.000), despite adjustment for the variables listed in <xref ref-type="table" rid="T3">Table 3</xref>. The HRs for the lowest quintiles of Hb (with the highest quintiles as reference) were 5.64 (95% CI 1.89&#x02013;16.87) and 6.15 (95% CI 2.33&#x02013;16.2) for all-cause death and MACEs, respectively.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Adjusted hazard ratios and 95% confidence interval for Hb or RBC by quintiles on outcomes.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="center" colspan="6" style="border-bottom: thin solid #000000;"><bold>Hb</bold></th>
<th valign="top" align="center"><bold><italic>p</italic> for trend<xref ref-type="table-fn" rid="TN3-a"><sup>a</sup></xref></bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>Q1</bold></th>
<th valign="top" align="center"><bold>Q2</bold></th>
<th valign="top" align="center"><bold>Q3</bold></th>
<th valign="top" align="center"><bold>Q4</bold></th>
<th valign="top" align="center"><bold>Q5</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td/>
<td valign="top" align="center"><italic>n</italic> = 85</td>
<td valign="top" align="center"><italic>n</italic> = 73</td>
<td valign="top" align="center"><italic>n</italic> = 85</td>
<td valign="top" align="center"><italic>n</italic> = 76</td>
<td valign="top" align="center"><italic>n</italic> = 72</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Median g/dl</td>
<td valign="top" align="center">10.40</td>
<td valign="top" align="center">11.80</td>
<td valign="top" align="center">12.80</td>
<td valign="top" align="center">13.70</td>
<td valign="top" align="center">14.90</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">All-cause mortality<xref ref-type="table-fn" rid="TN3-b"><sup>b</sup></xref></td>
<td valign="top" align="center">5.64 (1.89&#x02013;16.87)</td>
<td valign="top" align="center">1.83 (0.55&#x02013;6.14)</td>
<td valign="top" align="center">1.44 (0.42&#x02013;4.96)</td>
<td valign="top" align="center">2.91 (0.93&#x02013;9.09)</td>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">MACE<xref ref-type="table-fn" rid="TN3-c"><sup>c</sup></xref></td>
<td valign="top" align="center">6.15 (2.33&#x02013;16.2)</td>
<td valign="top" align="center">2.86 (0.99&#x02013;8.26)</td>
<td valign="top" align="center">1.39 (0.44&#x02013;4.39)</td>
<td valign="top" align="center">3.28 (1.19&#x02013;9.08)</td>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr style="border-top: thin solid #000000;">
<td valign="top" align="center" colspan="6" style="border-bottom: thin solid #000000;"><bold>RBC</bold></td>
<td valign="top" align="center"><italic><bold>p</bold></italic> <bold>for trend<xref ref-type="table-fn" rid="TN3-a"><sup>a</sup></xref></bold></td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><bold>Q1</bold></td>
<td valign="top" align="center"><bold>Q2</bold></td>
<td valign="top" align="center"><bold>Q3</bold></td>
<td valign="top" align="center"><bold>Q4</bold></td>
<td valign="top" align="center"><bold>Q5</bold></td>
<td/>
</tr>
<tr style="border-top: thin solid #000000;">
<td/>
<td valign="top" align="center"><italic>n</italic> = 81</td>
<td valign="top" align="center"><italic>n</italic> = 76</td>
<td valign="top" align="center"><italic>n</italic> = 84</td>
<td valign="top" align="center"><italic>n</italic> = 73</td>
<td valign="top" align="center"><italic>n</italic> = 77</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Median &#x000D7;10<sup>12</sup>/L</td>
<td valign="top" align="center">3.45</td>
<td valign="top" align="center">3.89</td>
<td valign="top" align="center">4.23</td>
<td valign="top" align="center">4.52</td>
<td valign="top" align="center">4.96</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">All-cause mortality<xref ref-type="table-fn" rid="TN3-b"><sup>b</sup></xref></td>
<td valign="top" align="center">3.0 (1.26&#x02013;7.17)</td>
<td valign="top" align="center">1.48 (0.56&#x02013;3.92)</td>
<td valign="top" align="center">0.82 (0.30&#x02013;2.28)</td>
<td valign="top" align="center">1.00 (0.35&#x02013;2.28)</td>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">MACE<xref ref-type="table-fn" rid="TN3-c"><sup>c</sup></xref></td>
<td valign="top" align="center">2.70 (1.28&#x02013;5.68)</td>
<td valign="top" align="center">1.36 (0.58&#x02013;3.22)</td>
<td valign="top" align="center">0.77 (0.31&#x02013;1.90)</td>
<td valign="top" align="center">0.79 (0.31&#x02013;2.01)</td>
<td valign="top" align="center">1 (reference)</td>
<td valign="top" align="center">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>HRs and 95% CIs were calculated by Cox proportional-hazards regression models using the forward conditional method</italic>.</p>
<p><italic>HRs, hazard ratios; COPD, chronic obstructive pulmonary disease; LDL-C, low-density lipoprotein-cholesterol; Hb, hemoglobin; Q, quintiles; RBC, red blood cell; MACE, major adverse cardiovascular events (a composite of all-cause death, recurrent rupture, and secondary procedure)</italic>.</p>
<fn id="TN3-a">
<label>a</label>
<p><italic>p for trend was calculated by entering the median value of each category of Hb and RBC quintiles</italic>.</p></fn>
<fn id="TN3-b">
<label>b</label>
<p><italic>Adjusted for age, COPD, hematocrit, cystatin C, urea nitrogen, and LDL-C</italic>.</p></fn>
<fn id="TN3-c">
<label>c</label>
<p><italic>Adjusted for age, COPD, hematocrit, cystatin C, urea nitrogen, creatinine, total cholesterol, and LDL-C</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Survival Analysis</title>
<p>According to Cox multivariate analysis, preoperative Hb [HR (per 1 g/dl) 0.797, 95% CI 0.639&#x02013;0.918, <italic>p</italic> = 0.002] and LDL-C [HR (per 1 mmol/L) 0.639, 95% CI 0.431&#x02013;0.948; <italic>p</italic> = 0.026] were independently related to all-cause mortality, following adjustment for age, COPD, hematocrit, urea nitrogen, and cystatin C. For MACEs, when adjusting for age, COPD, hematocrit, cystatin C, urea nitrogen, creatinine, total cholesterol, and LDL-C, preoperative Hb concentration (HR 0.795, 95% CI 0.672&#x02013;0.871, <italic>p</italic> = 0.000) was significantly associated with MACEs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>). <xref ref-type="fig" rid="F2">Figure 2A</xref> illustrates the cumulative all-cause survival rate (log-rank <italic>p</italic> = 0.001) based on Kaplan&#x02013;Meier analysis, with a significant difference revealed between the two Hb levels; and as indicated in <xref ref-type="fig" rid="F2">Figure 2B</xref>, MACEs were significantly different between them (log-rank <italic>p</italic> = 0.001).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Kaplan&#x02013;Meier analysis for hemoglobin (Hb) or red blood cell (RBC) on all-cause mortality and MACEs. <bold>(A)</bold> Cumulative all-cause survival rate between different hemoglobin levels. <bold>(B)</bold> Free from MACE rates between different hemoglobin levels. <bold>(C)</bold> Cumulative all-cause survival rate between different red blood cell counts. <bold>(D)</bold> Free from MACE rates between different red blood cell counts. MACE, major adverse cardiovascular events (a composite of all-cause death, recurrent rupture and secondary procedures).</p></caption>
<graphic xlink:href="fcvm-07-588761-g0002.tif"/>
</fig>
</sec>
<sec>
<title>Prognostic Value of Red Blood Cell</title>
<p>Hb is a conventional biomarker for the oxygen-carrying ability. Given the close association between Hb and RBC, we further estimated the prognostic value of RBC. In the Cox multivariate analysis, RBC [HR 0.457 (per 1 &#x000D7; 10<sup>12</sup> /L), 95% CI 0.292&#x02013;0.713, <italic>p</italic> = 0.001] and LDL-C [HR 0.617, 95% CI 0.416&#x02013;0.914, <italic>p</italic> = 0.016] were independently associated with all-cause mortality, with adjustment for age, COPD, hematocrit, urea nitrogen, and cystatin C. Preoperative RBC [HR 0.419, 95% CI 0.275&#x02013;0.640, <italic>p</italic> = 0.000] were significantly associated with MACEs, when adjusting for age, COPD, hematocrit, cystatin C, urea nitrogen, creatinine, total cholesterol, and LDL-C (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>). In Kaplan&#x02013;Meier analysis, statistical differences were observed for preoperative RBC count levels with regard to all-cause mortality and MACEs (<xref ref-type="fig" rid="F2">Figures 2C,D</xref>).</p>
</sec>
<sec>
<title>Prognostic Value of Anemia</title>
<p>In the Cox multivariate analysis, anemia (HR 3.184 95% CI 1.855&#x02013;5.465, <italic>p</italic> = 0.000) was significantly related to all-cause mortality, with adjustment for age, COPD, hematocrit, urea nitrogen, cystatin C, and LDL-C. Anemia (HR 2.883, 95% CI 1.738&#x02013;4.784, <italic>p</italic> = 0.000) and urea nitrogen [HR 1.072 (per 1 mmol/L), 95% CI 1.003&#x02013;1.146, <italic>p</italic> = 0.042] were significantly associated with MACEs, when adjusting for age, COPD, hematocrit, cystatin C, creatinine, total cholesterol, and LDL-C (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 2</xref>). In Kaplan&#x02013;Meier analysis, anemia was significantly associated with all-cause mortality and MACEs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 5</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>The results of the present study suggest the following. (1) Preoperative Hb level had a significant effect in predicting the long-term mortality and MACEs of patients who undergo TEVAR due to ABAD, despite adjustments for patient characteristics and other serum parameters. (2) The cut-off values for preoperative Hb, as shown in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>, were likely to provide an additional option for risk stratification. (3) A higher preoperative Hb may confer a much lower risk of adverse events for the aforementioned patients. (4) Survival rates and free from MACE rates differed enormously between those with preoperative Hb &#x0003C; 12 g/dl and Hb &#x02265; 12 g/dl. (5) Similar phenomena reiterated in both preoperative RBC count and anemia.</p>
<p>The study presented a significant association between different Hb levels and long-term mortality as well as adverse events for patients who develop ABAD post-TEVAR. A recent study by Gorla et al. (<xref ref-type="bibr" rid="B18">18</xref>) investigated the relationship between Hb level and in-hospital mortality. They retrospectively analyzed 144 subjects diagnosed with type B AAS (93 with ABAD). They suggested that postoperative Hb decline and Hb level were identified as independent predictors of in-hospital mortality, after a median of 2.6 years of follow-up; however, no significant difference was shown between different Hb levels for either mortality or other events. The disparity may be explained by the sample number and follow-up time, with ours consisting of a larger sample of patients and a longer follow-up period. Furthermore, because AAS includes acute aortic dissection (AAD), intramural hematoma, and penetrating aortic ulcers, their heterogeneity may also account for the discrepancy.</p>
<p>In accordance with our findings, the Hb concentration is independently associated with outcomes in other cardiovascular diseases, as clarified in previous studies. A multicenter study by Sabatine et al. (<xref ref-type="bibr" rid="B21">21</xref>) encompassing 39,922 subjects demonstrated that anemia is a powerful predictor of 30-day major adverse events in those who develop acute coronary syndrome (ACS). Additionally, in patients undergoing percutaneous coronary intervention (<xref ref-type="bibr" rid="B22">22</xref>) or coronary artery bypass graft surgery (<xref ref-type="bibr" rid="B23">23</xref>), lower Hb levels were independently associated with mortality and non-cardiac events. Moreover, Nuis et al. (<xref ref-type="bibr" rid="B24">24</xref>) demonstrated that the prevalence of anemia was higher than 50% in patients who underwent transcatheter aortic valve implantation and that preoperative anemia was significantly related to 1-year mortality. Similar conclusions were documented for patients diagnosed with stroke and heart failure (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Furthermore, Dakour-Aridi et al. (<xref ref-type="bibr" rid="B26">26</xref>) compared 30-day in-hospital adverse events between open and endovascular repair of abdominal aortic aneurysms and suggested lower Hb levels to be associated with in-hospital events for both procedures. The present study added ABAD patients post-TEVAR to the list, especially regarding long-term outcomes.</p>
<p>To examine the credibility and reproductivity of our findings, we investigated not only the relationship between Hb level but also RBC count and outcomes of ABAD patients. Consequently, both Hb and RBC were independently associated with follow-up outcomes. Meanwhile, they both had statistical significance in survival analysis. In the linear trend test, similar results were shown between RBC and Hb. Overall, similar findings were observed for Hb and RBC in our work.</p>
<p>Conventionally, anemia is not included in the risk factors of recent guidelines (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Ranucci et al. (<xref ref-type="bibr" rid="B28">28</xref>) proposed that the low prevalence of anemia as well as the multicollinearity between it and other comorbidities may explain this. Anemia is defined as Hb level &#x0003C; 13 g/dl for men and &#x0003C; 12 g/dl for women according to WHO standard (<xref ref-type="bibr" rid="B29">29</xref>), but the definition is different in China due to its specific race and geographical circumstance where the threshold value is 12 g/dl for men and 11 g/dl for women (<xref ref-type="bibr" rid="B20">20</xref>). In the present study, we illustrated the independent association between anemia and all-cause mortality or MACEs. Moreover, we displayed cutoff points for both Hb and RBC with regard to all-cause mortality and MACEs (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>), and a lower value may indicate a higher risk in those who undergo TEVAR. We might provide an alternative choice in risk stratifying preoperative ABAD subjects by cutoff points of 11 g/dl for Hb and 4.05 &#x000D7; 10<sup>12</sup>/L for RBC. Additionally, according to our results, the lowest quintile Hb, compared with the highest, increased the mortality and MACE risk by roughly 6-fold; therefore, this finding might be taken into consideration when assessing the long-term outcomes of ABAD patients post-TEVAR. On the other hand, Sabatine et al. (<xref ref-type="bibr" rid="B21">21</xref>) illustrated that ACS patients with Hb values &#x0003E; 17 g/dl had increased mortality than those with 14&#x02013;15 g/dl (HR 1.79, <italic>p</italic> = 0.007). Nonetheless, as only four of our subjects had a Hb level &#x0003E; 17 g/dl, we did not estimate the effect between them.</p>
<p>The explanations about the relationship between Hb and ABAD may be inferred from the following viewpoints. First, inadequate tissue oxygenation delivery due to anemia may play an important role, which may consequently cause dysfunction in the aorta. Furthermore, Horwich et al. (<xref ref-type="bibr" rid="B30">30</xref>) reported that patients who develop anemia are more likely to suffer malnutrition, hemodilution, myocardial ischemia, and renal insufficiency. In fact, these comorbidities are indicators of adverse outcomes in both the long and short terms. Finally, a patient with a lower Hb concentration is more likely to receive blood transfusions. A relatively small retrospective (<xref ref-type="bibr" rid="B31">31</xref>) study suggested that transfusion was independently related to 30-day death among patients after elective major vascular surgery, which was verified by following multicenter studies (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Additionally, Murphy et al. (<xref ref-type="bibr" rid="B32">32</xref>) found that transfusion was strongly associated with 1-year mortality postcardiac surgery and that transfusion may be related to race, preoperative anemia, open abdominal aneurysm repair, open bypass, and emergent procedure (<xref ref-type="bibr" rid="B33">33</xref>). The mechanism responsible may be a change in stored blood cells functionally and structurally, a process that may lead to an inflammatory response including interleukin-6, lipopolysaccharide-binding protein, and CRP release (<xref ref-type="bibr" rid="B34">34</xref>). Thus, unnecessary blood transfusion was not recommended in recent guidelines (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>Our study had several limitations. First, this was a retrospective single-center study; thus, it should be prudent when expanding the results to subjects in other regions. Second, we could not assess all factors related to all-cause mortality and MACEs. Third, a small number of patients were ultimately lost to follow-up, which may have led to bias in our study. Finally, we only recorded serum parameters at admission, and the values may differ during different periods.</p>
<p>In conclusion, Hb level may serve as a good predictor of long-term adverse events in ABAD patients undergoing TEVAR. A higher Hb concentration may indicate a better outcome, and similar results were found when assessing the prognostic value of RBC and anemia. Hb levels might be taken into consideration when risk stratifying ABAD patients. Nutrition support to increasing preoperative Hb might be one of the additional treatments in patients with Hb levels lower than 12 g/dl and anemia.</p>
</sec>
<sec sec-type="data-availability-statement" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by ethics committee of Xinqiao Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>ZG, ZQ, and JJ designed the study. ZA, CH, and LW collected the data. ZG and ZQ analyzed the data and drafted the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
</body>
<back>
<sec sec-type="supplementary-material" id="s9">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcvm.2020.588761/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2020.588761/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> This study was supported by the National Natural Science Foundation of China (No. 81770247), Application Fundamental Research of Ministry of Health in the Logistics Bureau (No. 2017B013), and Project for Scientific and Technological Innovation Ability Improvement of Army Medical University (No. 2019XQN13).</p>
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