<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<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.2022.856246</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>Association of On-Admission Anemia With 1-Year Mortality in Patients Hospitalized With Acute Heart Failure: Results From the HERO Study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Junlei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1641248/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Jiang</surname> <given-names>Chao</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/603614/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Lai</surname> <given-names>Yiwei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Li</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhao</surname> <given-names>Xiaoyan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1595340/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xiaofang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1403516/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Li</surname> <given-names>Ling</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Du</surname> <given-names>Xin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ma</surname> <given-names>Changsheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1223886/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Dong</surname> <given-names>Jianzeng</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="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1013020/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Cardiology, Beijing AnZhen Hospital, National Clinical Research Centre for Cardiovascular Diseases, Beijing Advanced Innovation Center for Big Data-Based Precision Medicine for Cardiovascular Diseases, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Cardiology, The First Affiliated Hospital of Zhengzhou University</institution>, <addr-line>Zhengzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Heart Health Research Center (HHRC)</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>The George Institute for Global Health, Faculty of Medicine, University of New South Wales</institution>, <addr-line>Sydney, NSW</addr-line>, <country>Australia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Matteo Cameli, University of Siena, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Erberto Carluccio, University of Perugia, Italy; Attila Frigy, George Emil Palade University of Medicine, Pharmacy, Sciences and Technology of T&#x000E2;rgu Mure&#x0015F;, Romania</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Xin Du <email>duxin&#x00040;hhresearch.cn</email></corresp>
<corresp id="c002">Jianzeng Dong <email>jzdong&#x00040;ccmu.edu.cn</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Heart Failure and Transplantation, a section of the journal Frontiers in Cardiovascular Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>856246</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2022 Li, Jiang, Lai, Li, Zhao, Wang, Li, Du, Ma and Dong.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Li, Jiang, Lai, Li, Zhao, Wang, Li, Du, Ma and Dong</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>
<sec>
<title>Background</title>
<p>Anemia is common in patients with chronic heart failure (HF) and is associated with adverse outcomes. However, data regarding the prognostic value of on-admission anemia on mortality in patients hospitalized with acute HF were relatively limited and conflicting. This study aimed to investigate the association of on-admission anemia with 1-year mortality and evaluate whether anemia is an independent predictor of mortality in patients hospitalized with acute HF.</p></sec>
<sec>
<title>Methods</title>
<p>The present analysis included 4,244 patients hospitalized with acute HF from the HERO (Heart Failure Registry of Patient Outcomes) study. On-admission anemia was defined using the World Health Organization (WHO) criteria (hemoglobin &#x0003C;120 g/L in women and &#x0003C;130 g/L in men). Cox proportional hazards models were used to assess the association of anemia with 1-year all-cause and cardiovascular mortality.</p></sec>
<sec>
<title>Results</title>
<p>Of 4,244 patients, 2,206 (52.0%) patients had no anemia, 1,106 (26.1%) patients had mild anemia (men 110 &#x02264; hemoglobin &#x0003C; 130 g/L; women 110 &#x02264; hemoglobin &#x0003C; 120g/L), and 932 (22.0%) patients had moderate-to-severe anemia (hemoglobin &#x0003C; 110 g/L). After a median follow-up of 12.4 months (interquartile range: 11.9, 12.6), 867 (20.4%) patients died. Among the 742 (85.6%) deaths with confirmed causes, 664 (89.5%) were due to cardiovascular diseases. The mortality rates in patients with no anemia, mild anemia, and moderate-to-severe anemia were 16.6%, 20.4%, and 29.4%, respectively (<italic>p</italic> &#x0003C; 0.001). The association of anemia with increased all-cause mortality was significant in the unadjusted model (hazard ratio [HR]: 1.54, 95% confidential interval [CI]: 1.35&#x02013;1.77, <italic>p</italic> &#x0003C; 0.001), and remained statistically significant after adjustment for most potential confounders (HR: 1.20, 95%CI: 1.03&#x02013;1.40, <italic>p</italic> = 0.020), but no longer significant after additional adjustment for natriuretic peptides (HR: 1.02, 95%CI: 0.86&#x02013;1.21, <italic>p</italic> = 0.843). When considering the degree of anemia, moderate-to-severe anemia was an independent predictor of all-cause mortality after full adjustment (HR:1.26, 95%CI: 1.03&#x02013;1.54, <italic>p</italic> = 0.028), whereas mild anemia was not (HR: 0.84, 95%CI: 0.69&#x02013;1.04, <italic>p</italic> = 0.104). A similar relationship was also found between anemia and cardiovascular mortality.</p></sec>
<sec>
<title>Conclusions</title>
<p>On-admission anemia, defined by the WHO criteria, is not an independent predictor of mortality in patients hospitalized with acute HF. Moderate-to-severe anemia in patients with acute HF is independently associated with increased mortality.</p></sec></abstract>
<kwd-group>
<kwd>acute heart failure (AHF)</kwd>
<kwd>anemia</kwd>
<kwd>natriuretic peptides</kwd>
<kwd>volume overload</kwd>
<kwd>heart failure hospitalization</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="8"/>
<word-count count="5289"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Anemia is a highly prevalent comorbidity in patients with chronic heart failure (HF) and is associated with an increased risk of adverse outcomes (<xref ref-type="bibr" rid="B1">1</xref>). The reported prevalences of anemia in patients with HF were widely varying among different studies, ranging from 10% to 70%, mainly depending on the severity of HF and the definition of anemia (<xref ref-type="bibr" rid="B1">1</xref>&#x02013;<xref ref-type="bibr" rid="B3">3</xref>). The etiologies of anemia in HF patients are multifactorial and heterogeneous, including inadequate erythropoietin levels due to renal dysfunction, hemodilution, hematinic deficiencies such as iron deficiency, bone marrow dysfunction, inflammation, and medications (<xref ref-type="bibr" rid="B4">4</xref>). Compared with chronic HF, progressive volume overload was more common in patients hospitalized with acute HF, which indicated that hemodilution might play a relatively larger role in anemia (<xref ref-type="bibr" rid="B5">5</xref>). Approximately half of the patients with acute HF had anemia (<xref ref-type="bibr" rid="B6">6</xref>); however, available data regarding the prognostic value of anemia in acute HF were relatively limited and conflicting. Amicis et al. and Rodr&#x000ED;guez et al. reported that anemia was an independent predictor of mortality in patients with acute HF (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). In contrast, Tymi&#x00144;ska et al. found that the association of anemia with increased risk of mortality was significant in univariate analysis but no longer significant after adjustment for potential confounders (<xref ref-type="bibr" rid="B9">9</xref>). In the present study, we sought to assess the association of on-admission anemia with 1-year mortality in patients hospitalized with acute HF and evaluate whether anemia was an independent predictor of mortality in the acute setting of HF.</p></sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study Population and Definitions</title>
<p>The study was performed in accordance with the principles of the Declaration of Helsinki. It was approved centrally by the Ethics Committee on Scientific Research and Clinical Trials at the First Affiliated Hospital of Zhengzhou University (in September 2017; approval number 2014SY-079) and by the local health research ethics board at each participating hospital. All patients gave written informed consent.</p>
<p>The Heart Failure Registry of Patient Outcomes (HERO) study is a prospective, multi-center, hospital-based cohort study designed to describe profile, management, and 1-year outcomes of patients hospitalized with acute HF in China (<xref ref-type="bibr" rid="B10">10</xref>). The HERO study consecutively recruited adult (&#x02265;18 years) patients from 73 participating hospitals with a primary admission diagnosis of acute HF during the defined period as previously described. The diagnosis of acute HF was made according to the 2016 European Society of Cardiology HF guidelines (<xref ref-type="bibr" rid="B11">11</xref>). From 10 November 2017 to 4 November 2018, 5,620 patients hospitalized with acute HF were enrolled into the HERO study. The socio-demographic characteristics, lifestyles, and self-reported health status were collected by physicians. The comorbidities, clinical characteristics at admission, laboratory tests, New York Heart Association (NYHA) class, treatments, and in-hospital outcomes were obtained from the medical records. According to the World Health Organization (WHO) criteria (<xref ref-type="bibr" rid="B12">12</xref>), patients were divided into three groups: non-anemia (hemoglobin &#x02265; 120 g/L in women or &#x02265;130 g/L in men), mild anemia (110 &#x02264; hemoglobin &#x0003C;130g/L in men or 110 &#x02264; hemoglobin &#x0003C;120 g/L in women), and moderate-to-severe anemia (hemoglobin &#x0003C; 110 g/L).</p></sec>
<sec>
<title>Follow-Up and Clinical Outcomes</title>
<p>In the HERO study, only patients discharged alive with consent to follow-up calls were enrolled in the prospective cohort. Standardized follow-up calls conducted by trained nurses were scheduled at 2 weeks, and 3, 6, and 12 months after discharge, or until death or study withdrawal. The outcomes of interest in the present analysis were 1-year all-cause and cardiovascular mortality.</p></sec>
<sec>
<title>Statistical Analysis</title>
<p>Categorical variables were demonstrated as frequencies and percentages. The Chi-Square test was used for categorical variables comparison. Continuous variables were presented as mean &#x000B1; standard deviation or median and interquartile range and compared with one-way analysis of variance (ANOVA) tests or Kruskal&#x02013;Wallis tests as appropriate. A two-sided <italic>p</italic> &#x0003C; 0.05 was defined as statistical significance. Kaplan&#x02013;Meier curves were plotted and compared using the log-rank test. Cox proportional hazards regression was used to evaluate the associations between anemia and all-cause and cardiovascular mortality in each group. Potential confounding variables were adjusted based on univariable regression (<italic>P</italic> &#x0003C; 0.1) and clinical knowledge. The adjusted variables in the Cox model included age, sex, body mass index (BMI), systolic blood pressure, current smoking, coronary artery disease, diabetes, chronic obstructive pulmonary disease (COPD), anemia, decreased eGFR (&#x0003C;60 mL/min/1.73 m<sup>2</sup>), hyponatremia (&#x0003C;135 mmol/L), in-hospital left ventricular ejection fraction groups (&#x0003C;40%, 40%&#x02212;49%, &#x02265;50%, or unavailable), and the use of renin-angiotensin system inhibitors, beta-blockers, mineralocorticoid receptor antagonists and statin at discharge, and hospital levels. Patients with missing covariate values were excluded, resulting in a total sample size of 3,568 patients for the adjusted analysis. Of 4,244 patients included in the present analysis, N-terminal pro-B-type natriuretic peptide (NT-proBNP) was measured in 2,360 patients during hospitalization. In patients without NT-proBNP, brain natriuretic peptide (BNP) was available in 1,103 patients. The values of BNP and NT-proBNP were log-transformed and standardized, respectively. Then, they were combined into a new variable, NPs, as described in a previous study (<xref ref-type="bibr" rid="B13">13</xref>) (<xref ref-type="supplementary-material" rid="SM1">Supplementary Materials</xref>). In the model-NPs, NPs values (presented as z score), as an indicator of HF severity and volume overload, were added to the adjusted model. A total of 2,928 patients with NPs values and without other missing covariate values were included in the model-NPs. In considering the possibility that the results of model-NPs were caused by patients&#x00027; selection rather than the additional adjustment for NPs, we used multiple imputations to handle missing data in the sensitivity analysis. Multiple Cox regression analyses were performed to assess the effect of the additional adjustment for NPs on the main results. Potential nonlinear associations of hemoglobin levels with all-cause mortality were tested with restricted cubic splines. Knots were placed at the 25th, 50th, and 75th percentile of the distribution of hemoglobin values. Restricted cubic splines were performed with R (version 4.0.3). Other analyses were performed with IBM SPSS Statistics (version 26).</p></sec></sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Baseline Characteristics</title>
<p>Of 5,620 patients hospitalized with acute HF and NYHA class III or IV in the HERO study, 4,428 patients were discharged alive with consent to be followed up. After excluding 184 patients without available data on hemoglobin concentration, 4,244 patients were included in the present study (<xref ref-type="fig" rid="F1">Figure 1</xref>). The rates of non-anemia, mild anemia, and moderate-to-severe anemia were 52.0%, 26.1%, and 22.0%, respectively. The median hemoglobin concentrations were 137 g/L (interquartile range [IQR]: 130, 147), 117 g/L (IQR: 114, 123), 99 g/L (IQR: 87, 105) in patients with non-anemia, mild anemia, and moderate-to-severe anemia, respectively. <xref ref-type="table" rid="T1">Table 1</xref> shows the baseline characteristics according to the severity of anemia. In general, anemic patients were older, more likely to be female, and had lower BMI, worse HF severity, and more comorbidities. Anemic patients were less likely to receive Renin-angiotensin system inhibitors, &#x003B2;-blockers, and digoxin at discharge.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flow chart.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-856246-g0001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>Non-anemia</bold></th>
<th valign="top" align="center"><bold>Mild anemia</bold></th>
<th valign="top" align="center"><bold>M-to-S anemia</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Overall <italic>n</italic>, %</td>
<td valign="top" align="center">2,206 (52.0)</td>
<td valign="top" align="center">1,106 (26.1)</td>
<td valign="top" align="center">932 (22%)</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Socio-demographic</bold></td>
</tr>
<tr>
<td valign="top" align="left">Age, year, mea<italic>n</italic> (SD)</td>
<td valign="top" align="center">70 (12.1)</td>
<td valign="top" align="center">74 (11.2)</td>
<td valign="top" align="center">75 (12.0)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Female sex, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,052 (47.7)</td>
<td valign="top" align="center">438 (39.6)</td>
<td valign="top" align="center">602 (64.6)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Low education, <italic>n</italic> (%)<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="center">1,473 (76.0)</td>
<td valign="top" align="center">756 (79.2)</td>
<td valign="top" align="center">645 (78.8)</td>
<td valign="top" align="center">0.095</td>
</tr>
<tr>
<td valign="top" align="left">Low income, <italic>n</italic> (%)<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="center">1,252 (66.7)</td>
<td valign="top" align="center">647 (69.4)</td>
<td valign="top" align="center">533 (67.3)</td>
<td valign="top" align="center">0.354</td>
</tr>
<tr>
<td valign="top" align="left">no/low insurance, <italic>n</italic> (%)<xref ref-type="table-fn" rid="TN3"><sup>c</sup></xref></td>
<td valign="top" align="center">1,652 (76.1)</td>
<td valign="top" align="center">859 (78.6)</td>
<td valign="top" align="center">699 (76.0)</td>
<td valign="top" align="center">0.240</td>
</tr>
<tr>
<td valign="top" align="left">Tertiary-level hospital, <italic>n</italic> (%)</td>
<td valign="top" align="center">537 (24.3)</td>
<td valign="top" align="center">229 (20.7)</td>
<td valign="top" align="center">192 (20.6)</td>
<td valign="top" align="center">0.016</td>
</tr>
<tr>
<td valign="top" align="left">Current smoking, <italic>n</italic> (%)</td>
<td valign="top" align="center">208 (9.5)</td>
<td valign="top" align="center">95 (8.6)</td>
<td valign="top" align="center">41 (4.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Current drinking, <italic>n</italic> (%)</td>
<td valign="top" align="center">121 (5.5)</td>
<td valign="top" align="center">40 (3.6)</td>
<td valign="top" align="center">13 (1.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Clinical features</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin, g/L, mean (SD)</td>
<td valign="top" align="center">139 (12.7)</td>
<td valign="top" align="center">118 (5.6)</td>
<td valign="top" align="center">93 (17.1)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">BMI, kg/m2, mean (SD)</td>
<td valign="top" align="center">23.7 (3.9)</td>
<td valign="top" align="center">23.0 (3.6)</td>
<td valign="top" align="center">22.5 (5.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">SBP, mmHg, mean (SD)</td>
<td valign="top" align="center">135 (24.4)</td>
<td valign="top" align="center">134 (25.6)</td>
<td valign="top" align="center">136 (26.3)</td>
<td valign="top" align="center">0.160</td>
</tr>
<tr>
<td valign="top" align="left">Heart rate, mean (SD)</td>
<td valign="top" align="center">90 (22.9)</td>
<td valign="top" align="center">88 (22.7)</td>
<td valign="top" align="center">85 (22.0)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">LVEF, mean (SD)</td>
<td valign="top" align="center">49.2 (14.7)</td>
<td valign="top" align="center">49.0 (13.4)</td>
<td valign="top" align="center">50.1 (12.5)</td>
<td valign="top" align="center">0.337</td>
</tr>
<tr>
<td valign="top" align="left">NYHA class IV, <italic>n</italic> (%)</td>
<td valign="top" align="center">992 (45.0)</td>
<td valign="top" align="center">532 (48.1)</td>
<td valign="top" align="center">497 (53.3)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">BNP, pg/mL, median (IQR)<xref ref-type="table-fn" rid="TN4"><sup>d</sup></xref></td>
<td valign="top" align="center">836 (26,53,175)</td>
<td valign="top" align="center">1,093 (44,53,277)</td>
<td valign="top" align="center">1,484 (54,84,566)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP, pg/mL, median (IQR)<xref ref-type="table-fn" rid="TN5"><sup>e</sup></xref></td>
<td valign="top" align="center">2,225 (70,85,960)</td>
<td valign="top" align="center">3,683 (12,708,561)</td>
<td valign="top" align="center">4,639 (1,85,011,486)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">eGFR &#x0003C;60mL/min/1.73m2, <italic>n</italic> (%)<xref ref-type="table-fn" rid="TN6"><sup>f</sup></xref></td>
<td valign="top" align="center">477 (22.9)</td>
<td valign="top" align="center">309 (29.7)</td>
<td valign="top" align="center">403 (46.3)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Serum sodium, mean (SD)</td>
<td valign="top" align="center">139.4 (4.4)</td>
<td valign="top" align="center">138.7 (4.8)</td>
<td valign="top" align="center">138.1 (5.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Serum potassium, mean (SD)</td>
<td valign="top" align="center">4.2 (0.6)</td>
<td valign="top" align="center">4.1 (0.6)</td>
<td valign="top" align="center">4.2 (0.8)</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">LDL-C, mmol/L, mean (SD)</td>
<td valign="top" align="center">2.29 (1.80, 2.93)</td>
<td valign="top" align="center">2.06 (1.61, 2.64)</td>
<td valign="top" align="center">2.00 (1.48, 2.60)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Medical history</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,036 (47.0)</td>
<td valign="top" align="center">503 (45.5)</td>
<td valign="top" align="center">486 (52.1)</td>
<td valign="top" align="center">0.026</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes, <italic>n</italic> (%)</td>
<td valign="top" align="center">395 (18.0)</td>
<td valign="top" align="center">211 (19.2)</td>
<td valign="top" align="center">239 (25.7)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Coronary artery disease, <italic>n</italic> (%)</td>
<td valign="top" align="center">611 (27.9)</td>
<td valign="top" align="center">369 (33.4)</td>
<td valign="top" align="center">269 (29.0)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">COPD, <italic>n</italic> (%)</td>
<td valign="top" align="center">218 (9.9)</td>
<td valign="top" align="center">111 (10.1)</td>
<td valign="top" align="center">62 (6.7)</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left">Atrial fibrillation, <italic>n</italic> (%)</td>
<td valign="top" align="center">597 (27.1)</td>
<td valign="top" align="center">298 (27.1)</td>
<td valign="top" align="center">220 (23.7)</td>
<td valign="top" align="center">0.112</td>
</tr>
<tr>
<td valign="top" align="left">Cerebrovascular disease, <italic>n</italic> (%)</td>
<td valign="top" align="center">311 (14.1)</td>
<td valign="top" align="center">174 (15.8)</td>
<td valign="top" align="center">145 (15.6)</td>
<td valign="top" align="center">0.355</td>
</tr>
<tr>
<td valign="top" align="left">valvular heart disease</td>
<td valign="top" align="center">530 (24.2)</td>
<td valign="top" align="center">263 (24.0)</td>
<td valign="top" align="center">217 (23.4)</td>
<td valign="top" align="center">0.882</td>
</tr>
<tr>
<td valign="top" align="left">Congenital heart disease, <italic>n</italic> (%)</td>
<td valign="top" align="center">29 (1.3)</td>
<td valign="top" align="center">11 (1.0)</td>
<td valign="top" align="center">11 (1.2)</td>
<td valign="top" align="center">0.871</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Treatment at discharge</bold></td>
</tr>
<tr>
<td valign="top" align="left">Renin-angiotensin system inhibitors, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,018 (46.7)</td>
<td valign="top" align="center">483 (44.0)</td>
<td valign="top" align="center">374 (40.9)</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">&#x003B2;-blockers, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,164 (53.2)</td>
<td valign="top" align="center">594 (53.9)</td>
<td valign="top" align="center">407 (44.4)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">MRA, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,564 (71.4)</td>
<td valign="top" align="center">820 (74.4)</td>
<td valign="top" align="center">648 (70.7)</td>
<td valign="top" align="center">0.116</td>
</tr>
<tr>
<td valign="top" align="left">Diuretics, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,304 (59.8)</td>
<td valign="top" align="center">668 (60.7)</td>
<td valign="top" align="center">539 (59.2)</td>
<td valign="top" align="center">0.781</td>
</tr>
<tr>
<td valign="top" align="left">Digoxin, <italic>n</italic> (%)</td>
<td valign="top" align="center">520 (23.8)</td>
<td valign="top" align="center">232 (21.0)</td>
<td valign="top" align="center">163 (17.8)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Statin, <italic>n</italic> (%)</td>
<td valign="top" align="center">1,511 (69.1)</td>
<td valign="top" align="center">759 (68.8)</td>
<td valign="top" align="center">597 (65.3)</td>
<td valign="top" align="center">0.103</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>M-to-S anemia, moderate-to-severe anemia; Non-anemia (hemoglobin &#x02265; 120 g/L in women or &#x02265;130 g/L in men); mild anemia (110 &#x02264;hemoglobin &#x0003C;130 g/L in men or 110 &#x02264;hemoglobin &#x0003C; 120 g/L in women); moderate-to-severe anemia (hemoglobin &#x0003C; 110 g/L). SD, standard deviation; IQR, interquartile range; SBP, Systolic blood pressure; BMI, body mass index; LVEF, left ventricular ejection fraction; NYHA, New York Heart Association; BNP, brain natriuretic peptide; NT-proBNP, N-terminal pro-B-type natriuretic peptide; eGFR, estimated glomerular filtration rate; LDL-C, low-density lipoprotein cholesterol; COPD, chronic obstructive pulmonary disease; MRA, mineralocorticoid receptor antagonists</italic>.</p>
<fn id="TN1">
<label>a</label>
<p><italic>Elementary school or below was defined as low education</italic>;</p></fn>
<fn id="TN2">
<label>b</label>
<p><italic>Income &#x0003C; 30 k RMB per year was defined as low income</italic>;</p></fn>
<fn id="TN3">
<label>c</label>
<p><italic>New rural cooperative medical scheme was defined as low-coverage insurance</italic>;</p></fn>
<fn id="TN4">
<label>d</label>
<p><italic>On-admission NT-proBNP levels were available in 2,360 patients</italic>.</p></fn>
<fn id="TN5">
<label>e</label>
<p><italic>On-admission BNP levels were available in 1,103 patients</italic>.</p></fn>
<fn id="TN6">
<label>f</label>
<p><italic>eGFR was calculated with the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Clinical Outcomes</title>
<p>After a median follow-up of 12.4 months (IQR: 11.9, 12.6), 867 (20.4%) patients died. The causes of 867 deaths were cardiovascular in 664 (76.6%), non-cardiovascular in 78 (9.0%), and undetermined in 125 (14.4%). Kaplan-Meier curves for all-cause and cardiovascular mortality according to the severity of anemia are presented in <xref ref-type="fig" rid="F2">Figure 2</xref>. The results of Cox regression analyses for all-cause and cardiovascular mortality are demonstrated in <xref ref-type="table" rid="T2">Table 2</xref>. Anemia was significantly associated with increased all-cause mortality in the unadjusted model (hazard ratio [HR]: 1.54, 95% confidential interval [CI]: 1.35&#x02013;1.77, <italic>p</italic> &#x0003C; 0.001). Before NPs values were included in the adjusted model, the association of anemia with increased mortality remained statistically significant (HR: 1.20, 95% CI:1.03&#x02013;1.40, <italic>p</italic> = 0.020) after adjustment for age, sex, BMI, systolic blood pressure, current smoker, diabetes, COPD, coronary heart disease, decreased eGFR, hyponatremia, in-hospital left ventricular ejection fraction, NYHA class and hospital levels, and the use of renin-angiotensin system inhibitors, &#x003B2;-blockers, mineralocorticoid receptor antagonists and statin at discharge. However, the association of anemia with all-cause mortality was no longer significant after additional adjustment for NPs (HR: 1.02, 95%CI: 0.86&#x02013;1.21, <italic>p</italic> = 0.843). A similar relationship was also found between anemia and cardiovascular mortality. The HRs (95% CI) for cardiovascular mortality in unadjusted, adjusted, and NPs models were 1.58 (1.35&#x02013;1.84, <italic>p</italic> &#x0003C; 0.001), 1.22 (1.02&#x02013;1.45, <italic>p</italic> = 0.027), and 1.01 (0.84&#x02013;1.23, <italic>p</italic> = 0.895). When considering the degree of anemia, moderate-to-severe anemia was an independent predictor of mortality after full adjustment (HR:1.26, 95%CI: 1.03&#x02013;1.54, <italic>p</italic> = 0.028), whereas mild anemia was not (HR: 0.87, 95%CI: 0.69&#x02013;1.04, <italic>p</italic> = 0.104). The association of moderate-to-severe anemia with cardiovascular mortality showed a similar trend but did not reach statistical difference after full adjustment (HR:1.20, 95%CI: 0.96&#x02013;1.51, <italic>p</italic> = 0.117, <xref ref-type="table" rid="T2">Table 2</xref>). In the sensitivity analysis, which used multiple imputations to handle the missing data, the findings that the association of anemia with all-cause and cardiovascular mortality remained significant after adjustment for most potential confounding factors but no longer significant after additional adjustment for NPs values were consistent (<xref ref-type="supplementary-material" rid="SM1">Supplementary Materials</xref>). <xref ref-type="fig" rid="F3">Figure 3</xref> demonstrated the HR (95%CI) for all-cause mortality according to hemoglobin levels in unadjusted, adjusted, and NPs models.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Kaplan-Meier curves for all-cause and cardiovascular mortality according to anemia. Panel <bold>(A)</bold>, Kaplan-Meier survival curves for all-cause mortality. Panel <bold>(B)</bold>, Kaplan-Meier survival curves for cardiovascular mortality. M-to-S anemia, moderate-to-severe anemia.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-856246-g0002.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>The association of anemia with all-cause and cardiovascular mortality.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th/>
<th valign="top" align="center"><bold>No. of events</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Unadjusted model</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Adjusted model<xref ref-type="table-fn" rid="TN7"><sup>&#x0002A;</sup></xref></bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Model-NPs</bold><xref ref-type="table-fn" rid="TN8"><sup>&#x00023;</sup></xref></th>
</tr>
<tr>
<th/>
<th/>
<th valign="top" align="center"><bold>HR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>HR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>HR (95%CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>All-cause mortality</bold></td>
</tr>
<tr>
<td valign="top" align="left">Non-anemia</td>
<td valign="top" align="center">367/2,206 (16.6%)</td>
<td valign="top" align="center">1.00 (reference)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1.00 (reference)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1.00 (reference)</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Any anemia</td>
<td valign="top" align="center">500/2,038 (24.5%)</td>
<td valign="top" align="center">1.54 (1.35&#x02013;1.77)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.20 (1.03&#x02013;1.40)</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">1.02 (0.86&#x02013;1.21)</td>
<td valign="top" align="center">0.843</td>
</tr>
<tr>
<td valign="top" align="left">Mild anemia</td>
<td valign="top" align="center">226/1,106 (20.4%)</td>
<td valign="top" align="center">1.25 (1.06&#x02013;1.48)</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">0.99 (0.82&#x02013;1.19)</td>
<td valign="top" align="center">0.874</td>
<td valign="top" align="center">0.84 (0.69&#x02013;1.04)</td>
<td valign="top" align="center">0.104</td>
</tr>
<tr>
<td valign="top" align="left">M-to-S anemia</td>
<td valign="top" align="center">274/932 (29.4%)</td>
<td valign="top" align="center">1.91 (1.63&#x02013;2.23)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.50 (1.25&#x02013;1.80)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.26 (1.03&#x02013;1.54)</td>
<td valign="top" align="center">0.028</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Cardiovascular mortality</bold></td>
</tr>
<tr>
<td valign="top" align="left">Non-anemia</td>
<td valign="top" align="center">277/2,206 (12.6%)</td>
<td valign="top" align="center">1.00 (reference)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1.00 (reference)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1.00 (reference)</td>
<td valign="top" align="center">-</td>
</tr>
<tr>
<td valign="top" align="left">Any anemia</td>
<td valign="top" align="center">387/2,038 (19.0%)</td>
<td valign="top" align="center">1.58 (1.35&#x02013;1.84)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.22 (1.02&#x02013;1.45)</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center">1.01 (0.84&#x02013;1.23)</td>
<td valign="top" align="center">0.895</td>
</tr>
<tr>
<td valign="top" align="left">Mild anemia</td>
<td valign="top" align="center">177/1,106 (16.0%)</td>
<td valign="top" align="center">1.30 (1.08&#x02013;1.57)</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="center">1.05 (0.85&#x02013;1.29)</td>
<td valign="top" align="center">0.650</td>
<td valign="top" align="center">0.87 (0.71&#x02013;1.13)</td>
<td valign="top" align="center">0.345</td>
</tr>
<tr>
<td valign="top" align="left">M-to-S anemia</td>
<td valign="top" align="center">210/932 (22.5%)</td>
<td valign="top" align="center">1.93 (1.61&#x02013;2.31)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.44 (1.17&#x02013;1.77)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.20 (0.96&#x02013;1.51)</td>
<td valign="top" align="center">0.117</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>M-to-S anemia, moderate-to-severe anemia; Non-anemia (hemoglobin &#x02265; 120 g/L in women or &#x02265; 130 g/L in men); mild anemia (110 &#x02264; hemoglobin &#x0003C;130 g/L in men or 110 &#x02264; hemoglobin &#x0003C;120 g/L in women); moderate-to-severe anemia (hemoglobin &#x0003C;110 g/L)</italic>.</p>
<fn id="TN7">
<label>&#x0002A;</label>
<p><italic>Adjusted variables: age, sex, body mass index, systolic blood pressure, current smoker, diabetes, chronic obstructive pulmonary disease, coronary heart disease, decreased estimated glomerular filtration rate, hyponatremia, in-hospital left ventricular ejection fraction, New York Heart Association class, and the use of renin-angiotensin system inhibitors, &#x003B2;-blockers, mineralocorticoid receptor antagonists and statin at discharge, and hospital levels</italic>.</p></fn>
<fn id="TN8">
<label>&#x00023;</label>
<p><italic>Adjusted variables in Model-NPs: all variables mentioned above and additional adjustment for log-transformed and standardized natriuretic peptides levels. HF, heart failure; HR, hazard ratio; CI: confidence interval</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>The hazard ratio (95% confidence interval) for all-cause death according to the hemoglobin levels. Panel <bold>(A)</bold>, unadjusted model. Panel <bold>(B)</bold>, Adjusted variables: age, sex, body mass index, systolic blood pressure, current smoker, diabetes, chronic obstructive pulmonary disease, coronary heart disease, decreased estimated glomerular filtration rate, hyponatremia, in-hospital left ventricular ejection fraction, New York Heart Association class, and the use of renin-angiotensin system inhibitors, &#x003B2;-blockers, mineralocorticoid receptor antagonists and statin at discharge, and hospital levels. Panel <bold>(C)</bold>, Adjusted variables in Model-NPs: all variables mentioned above and additional adjustment for log-transformed and standardized natriuretic peptides levels. HR, hazard ratio; CI, confidence interval.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-856246-g0003.tif"/>
</fig></sec></sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this large-scale prospective study of patients hospitalized with acute HF, on-admission anemia was present in almost half of the patients. The association of anemia with increased 1-year all-cause and cardiovascular mortality was significant in the unadjusted model and attenuated after adjustment for most potential confounders but remained statistically significant. Only after additional adjustment for natriuretic peptides, on-admission anemia was no longer a significant predictor of all-cause or cardiovascular mortality. When considering the degree of anemia, moderate-to-severe anemia was an independent predictor of mortality after full adjustment, whereas mild anemia was not.</p>
<p>Most previous studies regarding the prognostic value of anemia in HF were conducted in patients with chronic HF (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B14">14</xref>). A large-scale meta-analysis including 1,53,180 patients with chronic HF demonstrated that the crude mortality rate of anemic patients was twice that of non-anemic patients, and this association remained significant after adjustment (adjusted HR: 1.46, 95%CI: 1.26&#x02013;1.69) (<xref ref-type="bibr" rid="B1">1</xref>). The anemic rate tends to be higher in patients with acute HF than in patients with chronic HF; however, the impact of anemia on mortality in the acute setting is controversial (<xref ref-type="bibr" rid="B7">7</xref>&#x02013;<xref ref-type="bibr" rid="B9">9</xref>). In the present study, the anemic patients with acute HF had a 54% increase in the risk of all-cause mortality and a 58% increase in the risk of cardiovascular mortality before the adjustment; however, after the additional adjustment for natriuretic peptides, the association was no longer significant. Interestingly, the two previous studies (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>), which concluded that anemia was an independent predictor of mortality, did not include natriuretic peptides values in the multivariate Cox model.</p>
<p>The discrepancies in the prognostic value of anemia between acute and chronic HF may partly be due to the differences in the etiology of anemia (<xref ref-type="bibr" rid="B4">4</xref>). Several small studies in patients with chronic HF have established the role of hemodilution caused by volume overload in anemia. Androne et al. measured the red blood cell and plasma volume in 37 anemic patients with chronic HF using a radiolabeled albumin technique and found that anemia in 17 patients was due to hemodilution, and only 20 patients had true anemia (<xref ref-type="bibr" rid="B15">15</xref>). Previous studies also demonstrated that the increases in plasma volume and extracellular volume were independent predictors of low hemoglobin levels in patients with chronic HF (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Progressive volume overload and congestion are the main reasons for hospital admission in patients with acute HF (<xref ref-type="bibr" rid="B18">18</xref>). Compared to the chronic setting, greater volume expansion and hemodilution during HF decompensation may be partly responsible for the higher anemic rate in patients hospitalized with acute HF (<xref ref-type="bibr" rid="B16">16</xref>), thus leading to a relatively higher proportion of pseudo-anemia. This might be the reason why natriuretic peptides, the markers of elevated filling pressure and volume overload (<xref ref-type="bibr" rid="B19">19</xref>), were the critical confounding factor that influenced the impact of anemia on all-cause and cardiovascular mortality in the present study. This is to say that hemoglobin levels are probably more like a marker of volume overload in the acute setting of HF. Diuretics are the cornerstone of acute HF treatment (<xref ref-type="bibr" rid="B20">20</xref>). Some pseudo-anemia caused by transient hemodilution might be corrected after effective hemoconcentration during hospitalization (<xref ref-type="bibr" rid="B15">15</xref>). Meanwhile, effective hemoconcentration during acute HF hospitalization is a predictor of improved prognosis (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>) and thus may mask the impact of anemia on mortality. However, there were no available data on the dynamic changes of hemoglobin levels before and after discharge in the HERO study; therefore, further studies are needed to clarify the detailed association of anemia with hemodilution and hemoconcentration in the acute setting of HF.</p>
<p>In addition, anemic patients were older and were more likely to have impaired renal function, lower BMI, diabetes, hypertension, and higher NYHA class. In the present study, the rate of impaired renal function (eGFR &#x0003C;60 mL/min/1.73 m<sup>2</sup>) in patients with moderate-to-severe anemia was about twice that of those without anemia and about 1.5 folds that of those with mild anemia. The significant association of anemia with adverse outcomes in unadjusted model and in previous studies may also be the results secondary to a higher comorbidity burden. Our study found that the usage rates of renin-angiotensin system inhibitors and &#x003B2;-blockers in anemic patients were significantly lower than those without anemia. This may be explained by possible intolerance of the medications due to worse HF severity or more renal dysfunction in anemic patients.</p>
<p>The present study showed that moderate-to-severe anemia was an independent predictor of all-cause mortality. This may be because a higher proportion of patients with moderate-to-severe anemia have real anemia, and anemia in these patients may still exist even after effective hemoconcentration. From this perspective, the cut-off point of WHO criteria may be relatively high to define anemia in patients with acute HF. Whether anemia in HF was a treatable target or merely a marker of HF severity or other comorbidities had been debated (<xref ref-type="bibr" rid="B4">4</xref>). In patients with chronic HF and anemia, extraneous erythropoietin did increase the hemoglobin concentration but failed to improve the prognosis of HF (<xref ref-type="bibr" rid="B23">23</xref>). However, a meta-analysis of randomized controlled trials demonstrated that intravenous iron therapy might improve the symptoms and the prognosis of systolic HF (<xref ref-type="bibr" rid="B24">24</xref>). Our findings suggest that mild anemia in acute HF may be more a marker of volume overload, whereas moderate-to-severe anemia should draw the attention of clinicians. Further studies are needed to explore whether specific treatment such as intravenous iron therapy will improve prognosis in patients hospitalized with acute HF and moderate-to-severe anemia.</p>
<sec>
<title>Limitations</title>
<p>First, fluid volume overload and hemodilution were common in patients hospitalized with acute HF. Some patients may experience effective diuresis and hemoconcentration after hospitalization. However, there were only baseline data of hemoglobin in our study. Second, the etiology of anemia in patients with HF is multifactorial, whereas there was no data on hematinics such as iron, Vitamin B12, and folate in the present study. Third, there was no information regarding the treatment of anemia.</p></sec></sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>On-admission anemia, defined by the WHO criteria, is not an independent predictor of mortality in patients hospitalized with acute HF. Moderate-to-severe anemia in patients with acute HF is independently associated with increased mortality.</p></sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by The First Affiliated Hospital of Zhengzhou University. The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual (s) for the publication of any potentially identifiable images or data included in this article.</p></sec>
<sec id="s8">
<title>Author Contributions</title>
<p>JD, XD, and JL contributed to conception and design of the study. XW, XZ, LingL, and LiL participated in the collection of samples and data. JL and YL performed statistical analysis and all the results were checked by CJ and LiL. JL wrote the first draft of the manuscript. LiL, YL, XZ, XW, and CJ wrote sections of the manuscript. The manuscript was critically revised by CM, XD, and JD. All authors contributed to the article and approved the submitted version.</p></sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The study has been funded by the National Thirteenth 5-year Science and Technology Support Projects by the Ministry of Science and Technology of China (Grant No. 2016YFC1301000).</p></sec>
<sec sec-type="COI-statement" id="conf1">
<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>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
</body>
<back>
<sec sec-type="supplementary-material" id="s11">
<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.2022.856246/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcvm.2022.856246/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.doc" id="SM1" mimetype="application/msword" xmlns:xlink="http://www.w3.org/1999/xlink"/></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Groenveld</surname> <given-names>HF</given-names></name> <name><surname>Januzzi</surname> <given-names>JL</given-names></name> <name><surname>Damman</surname> <given-names>K</given-names></name> <name><surname>van Wijngaarden</surname> <given-names>J</given-names></name> <name><surname>Hillege</surname> <given-names>HL</given-names></name> <name><surname>van Veldhuisen</surname> <given-names>DJ</given-names></name> <etal/></person-group>. <article-title>and mortality in heart failure patients a systematic review and meta-analysis</article-title>. <source>J Am Coll Cardiol.</source> (<year>2008</year>) <volume>52</volume>:<fpage>818</fpage>&#x02013;<lpage>27</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2008.04.061</pub-id><pub-id pub-id-type="pmid">18755344</pub-id></citation></ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Caughey</surname> <given-names>MC</given-names></name> <name><surname>Avery CL Ni</surname> <given-names>H</given-names></name> <name><surname>Solomon</surname> <given-names>SD</given-names></name> <name><surname>Matsushita</surname> <given-names>K</given-names></name> <name><surname>Wruck</surname> <given-names>LM</given-names></name> <etal/></person-group>. <article-title>Outcomes of patients with anemia and acute decompensated heart failure with preserved versus reduced ejection fraction (from the ARIC study community surveillance)</article-title>. <source>Am J Cardiol.</source> (<year>2014</year>) <volume>114</volume>:<fpage>1850</fpage>&#x02013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1016/j.amjcard.2014.09.024</pub-id><pub-id pub-id-type="pmid">25438912</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>von Haehling</surname> <given-names>S</given-names></name> <name><surname>van Veldhuisen</surname> <given-names>DJ</given-names></name> <name><surname>Roughton</surname> <given-names>M</given-names></name> <name><surname>Babalis</surname> <given-names>D</given-names></name> <name><surname>de Boer</surname> <given-names>RA</given-names></name> <name><surname>Coats</surname> <given-names>AJ</given-names></name> <etal/></person-group>. <article-title>Anaemia among patients with heart failure and preserved or reduced ejection fraction: results from the SENIORS study</article-title>. <source>Eur J Heart Fail</source>. (<year>2011</year>). <volume>13</volume>:<fpage>656</fpage>&#x02013;<lpage>63</lpage>. <pub-id pub-id-type="doi">10.1093/eurjhf/hfr044</pub-id><pub-id pub-id-type="pmid">21613429</pub-id></citation></ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Grote Beverborg</surname> <given-names>N</given-names></name> <name><surname>van Veldhuisen</surname> <given-names>DJ</given-names></name> <name><surname>van der Meer</surname> <given-names>P</given-names></name></person-group>. <article-title>Anemia in heart failure: still relevant?</article-title> <source>JACC Heart Fail</source>. (<year>2018</year>). <volume>6</volume>:<fpage>201</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.jchf.2017.08.023</pub-id><pub-id pub-id-type="pmid">29128254</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Arrigo</surname> <given-names>M</given-names></name> <name><surname>Jessup</surname> <given-names>M</given-names></name> <name><surname>Mullens</surname> <given-names>W</given-names></name> <name><surname>Reza</surname> <given-names>N</given-names></name> <name><surname>Shah</surname> <given-names>AM</given-names></name> <name><surname>Sliwa</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Acute heart failure</article-title>. <source>Nat Rev Dis Primers.</source> (<year>2020</year>) <volume>6</volume>:<fpage>16</fpage>. <pub-id pub-id-type="doi">10.1038/s41572-020-0151-7</pub-id><pub-id pub-id-type="pmid">32139695</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Young</surname> <given-names>JB</given-names></name> <name><surname>Abraham</surname> <given-names>WT</given-names></name> <name><surname>Albert</surname> <given-names>NM</given-names></name> <name><surname>Gattis Stough</surname> <given-names>W</given-names></name> <name><surname>Gheorghiade</surname> <given-names>M</given-names></name> <name><surname>Greenberg</surname> <given-names>BH</given-names></name> <etal/></person-group>. <article-title>Relation of low hemoglobin and anemia to morbidity and mortality in patients hospitalized with heart failure (insight from the OPTIMIZE-HF registry)</article-title>. <source>Am J Cardiol.</source> (<year>2008</year>) <volume>101</volume>:<fpage>223</fpage>&#x02013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.1016/j.amjcard.2007.07.067</pub-id><pub-id pub-id-type="pmid">18178411</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Migone de Amicis</surname> <given-names>M</given-names></name> <name><surname>Chivite</surname> <given-names>D</given-names></name> <name><surname>Corbella</surname> <given-names>X</given-names></name> <name><surname>Cappellini</surname> <given-names>MD</given-names></name> <name><surname>Formiga</surname> <given-names>F</given-names></name></person-group>. <article-title>Anemia is a mortality prognostic factor in patients initially hospitalized for acute heart failure</article-title>. <source>Intern Emerg Med</source>. (<year>2017</year>) <volume>12</volume>:<fpage>749</fpage>&#x02013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1007/s11739-017-1637-5</pub-id><pub-id pub-id-type="pmid">28233161</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Los &#x000C1;ngeles Fern&#x000E1;ndez-Rodr&#x000ED;guez</surname> <given-names>M</given-names></name> <name><surname>Prieto-Garc&#x000ED;a</surname> <given-names>B</given-names></name> <name><surname>V&#x000E1;zquez-&#x000C1;lvarez</surname> <given-names>J</given-names></name> <name><surname>Jacob</surname> <given-names>J</given-names></name> <name><surname>Gil</surname> <given-names>V</given-names></name> <name><surname>Mir&#x000F3;</surname> <given-names>O</given-names></name> <etal/></person-group>. <article-title>Prognostic implications of anemia in patients with acute heart failure in emergency departments</article-title>. <source>ANEM-AHF Study Int J Clin Pract.</source> (<year>2021</year>) <volume>75</volume>:<fpage>e13712</fpage>. <pub-id pub-id-type="doi">10.1111/ijcp.13712</pub-id><pub-id pub-id-type="pmid">32955782</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tymi&#x00144;ska</surname> <given-names>A</given-names></name> <collab>Kap&#x00142;on-Cie&#x0015B;licka Kap&#x00142;on-Cie&#x0015B;licka A</collab> <name><surname>Oziera&#x00144;ski</surname> <given-names>K</given-names></name> <name><surname>Peller</surname> <given-names>M</given-names></name> <name><surname>Balsam</surname> <given-names>P</given-names></name> <name><surname>Marchel</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Anemia at hospital admission and its relation to outcomes in patients with heart failure (from the polish cohort of 2 European society of cardiology heart failure registries)</article-title>. <source>Am J Cardiol</source>. (<year>2017</year>). <volume>119</volume>:<fpage>2021</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/j.amjcard.2017.03.035</pub-id><pub-id pub-id-type="pmid">28434647</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>L</given-names></name> <name><surname>Liu</surname> <given-names>R</given-names></name> <name><surname>Jiang</surname> <given-names>C</given-names></name> <name><surname>Du</surname> <given-names>X</given-names></name> <name><surname>Huffman</surname> <given-names>MD</given-names></name> <name><surname>Lam</surname> <given-names>CSP</given-names></name> <etal/></person-group>. <article-title>Assessing the evidence-practice gap for heart failure in China: the heart failure registry of patient outcomes (HERO) study design and baseline characteristics</article-title>. <source>Eur J Heart Fail.</source> (<year>2020</year>) <volume>22</volume>:<fpage>646</fpage>&#x02013;<lpage>60</lpage>. <pub-id pub-id-type="doi">10.1002/ejhf.1630</pub-id><pub-id pub-id-type="pmid">31820513</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ponikowski</surname> <given-names>P</given-names></name> <name><surname>Voors</surname> <given-names>AA</given-names></name> <name><surname>Anker</surname> <given-names>SD</given-names></name> <name><surname>Bueno</surname> <given-names>H</given-names></name> <name><surname>Cleland</surname> <given-names>JGF</given-names></name> <name><surname>Coats</surname> <given-names>AJS</given-names></name> <etal/></person-group>. <article-title>ESC Guidelines for the diagnosis treatment of acute chronic heart failure: the task force for the diagnosis treatment of acute chronic heart failure of the European society of cardiology (ESC) developed with the special contribution of the heart failure association (HFA) of the ESC</article-title>. <source>Eur Heart J</source>. (<year>2016</year>) <volume>37</volume>:<fpage>2129</fpage>&#x02013;<lpage>200</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehw128</pub-id><pub-id pub-id-type="pmid">27206819</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="book"><person-group person-group-type="author"><collab>Organization WH</collab></person-group>. <source>Haemoglobin Concentrations for the Diagnosis of Anaemia and Assessment of Severity.Vitamin and Mineral Nutrition Information System</source>. <publisher-loc>Geneva</publisher-loc>: <publisher-name>WHO</publisher-name> (<year>2011</year>).</citation>
</ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Anand</surname> <given-names>IS</given-names></name> <name><surname>Claggett</surname> <given-names>B</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Shah</surname> <given-names>AM</given-names></name> <name><surname>Rector</surname> <given-names>TS</given-names></name> <name><surname>Shah</surname> <given-names>SJ</given-names></name> <etal/></person-group>. <article-title>Interaction between spironolactone and natriuretic peptides in patients with heart failure and preserved ejection fraction: from the TOPCAT trial</article-title>. <source>JACC Heart Fail.</source> (<year>2017</year>) <volume>5</volume>:<fpage>241</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1016/j.jchf.2016.11.015</pub-id><pub-id pub-id-type="pmid">28359411</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xia</surname> <given-names>H</given-names></name> <name><surname>Shen</surname> <given-names>H</given-names></name> <name><surname>Cha</surname> <given-names>W</given-names></name> <name><surname>Lu</surname> <given-names>Q</given-names></name></person-group>. <article-title>The prognostic significance of anemia in patients with heart failure: a meta-analysis of studies from the last decade</article-title>. <source>Front Cardiovasc Med</source>. (<year>2021</year>). 8:632318. <pub-id pub-id-type="doi">10.3389/fcvm.2021.632318</pub-id><pub-id pub-id-type="pmid">34055927</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Androne</surname> <given-names>AS</given-names></name> <name><surname>Katz</surname> <given-names>SD</given-names></name> <name><surname>Lund</surname> <given-names>L</given-names></name> <name><surname>LaManca</surname> <given-names>J</given-names></name> <name><surname>Hudaihed</surname> <given-names>A</given-names></name> <name><surname>Hryniewicz</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Hemodilution is common in patients with advanced heart failure</article-title>. <source>Circulation.</source> (<year>2003</year>) <volume>107</volume>:<fpage>226</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1161/01.CIR.0000052623.16194.80</pub-id><pub-id pub-id-type="pmid">12538419</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Westenbrink</surname> <given-names>BD</given-names></name> <name><surname>Visser</surname> <given-names>FW</given-names></name> <name><surname>Voors</surname> <given-names>AA</given-names></name> <name><surname>Smilde</surname> <given-names>TD</given-names></name> <name><surname>Lipsic</surname> <given-names>E</given-names></name> <name><surname>Navis</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Anaemia in chronic heart failure is not only related to impaired renal perfusion blunted erythropoietin production, but to fluid retention as well</article-title>. <source>Eur Heart J</source>. (<year>2007</year>)<volume>28</volume>:<fpage>166</fpage>&#x02013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehl419</pub-id><pub-id pub-id-type="pmid">17158825</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Adlbrecht</surname> <given-names>C</given-names></name> <name><surname>Kommata</surname> <given-names>S</given-names></name> <name><surname>H&#x000FC;lsmann</surname> <given-names>M</given-names></name> <name><surname>Szekeres</surname> <given-names>T</given-names></name> <name><surname>Bieglmayer</surname> <given-names>C</given-names></name> <name><surname>Strunk</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Chronic heart failure leads to an expanded plasma volume pseudoanaemia, but does not lead to a reduction in the body&#x00027;s red cell volume</article-title>. <source>Eur Heart J</source>. (<year>2008</year>)<volume>29</volume>:<fpage>2343</fpage>&#x02013;<lpage>50</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehn359</pub-id><pub-id pub-id-type="pmid">18701467</pub-id></citation></ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gheorghiade</surname> <given-names>M</given-names></name> <name><surname>Filippatos</surname> <given-names>G</given-names></name> <name><surname>De Luca</surname> <given-names>L</given-names></name> <name><surname>Burnett</surname> <given-names>J</given-names></name></person-group>. <article-title>Congestion in acute heart failure syndromes: an essential target of evaluation and treatment</article-title>. <source>Am J Med</source>. (<year>2006</year>). <volume>119</volume> (<supplement>Suppl. 1</supplement>):S3&#x02013;10. <pub-id pub-id-type="doi">10.1016/j.amjmed.2006.09.011</pub-id><pub-id pub-id-type="pmid">17113398</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Volpe</surname> <given-names>M</given-names></name> <name><surname>Carnovali</surname> <given-names>M</given-names></name> <name><surname>Mastromarino</surname> <given-names>V</given-names></name></person-group>. <article-title>The natriuretic peptides system in the pathophysiology of heart failure: from molecular basis to treatment</article-title>. <source>Clin Sci (Lond)</source>. (<year>2016</year>). <volume>130</volume>:<fpage>57</fpage>&#x02013;<lpage>77</lpage>. <pub-id pub-id-type="doi">10.1042/CS20150469</pub-id><pub-id pub-id-type="pmid">26637405</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>McDonagh</surname> <given-names>TA</given-names></name> <name><surname>Metra</surname> <given-names>M</given-names></name> <name><surname>Adamo</surname> <given-names>M</given-names></name> <name><surname>Gardner</surname> <given-names>RS</given-names></name> <name><surname>Baumbach</surname> <given-names>A</given-names></name> <name><surname>B&#x000F6;hm</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>2021 ESC Guidelines for the diagnosis treatment of acute chronic heart failure</article-title>. <source>Eur Heart J</source>. (<year>2021</year>). <volume>42</volume>:<fpage>3599</fpage>&#x02013;<lpage>726</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehab368</pub-id><pub-id pub-id-type="pmid">34447992</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>van der Meer</surname> <given-names>P</given-names></name> <name><surname>Postmus</surname> <given-names>D</given-names></name> <name><surname>Ponikowski</surname> <given-names>P</given-names></name> <name><surname>Cleland</surname> <given-names>JG</given-names></name> <name><surname>O&#x00027;Connor</surname> <given-names>CM</given-names></name> <name><surname>Cotter</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>The predictive value of short-term changes in hemoglobin concentration in patients presenting with acute decompensated heart failure</article-title>. <source>J Am Coll Cardiol</source>. (<year>2013</year>). <volume>61</volume>:<fpage>1973</fpage>&#x02013;<lpage>81</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2012.12.050</pub-id><pub-id pub-id-type="pmid">23500313</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Testani</surname> <given-names>JM</given-names></name> <name><surname>Chen</surname> <given-names>J</given-names></name> <name><surname>McCauley</surname> <given-names>BD</given-names></name> <name><surname>Kimmel</surname> <given-names>SE</given-names></name> <name><surname>Shannon</surname> <given-names>RP</given-names></name></person-group>. <article-title>Potential effects of aggressive decongestion during the treatment of decompensated heart failure on renal function and survival</article-title>. <source>Circulation</source>. (<year>2010</year>). <volume>122</volume>:<fpage>265</fpage>&#x02013;<lpage>72</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCULATIONAHA.109.933275</pub-id><pub-id pub-id-type="pmid">20606118</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Swedberg</surname> <given-names>K</given-names></name> <name><surname>Young</surname> <given-names>JB</given-names></name> <name><surname>Anand</surname> <given-names>IS</given-names></name> <name><surname>Cheng</surname> <given-names>S</given-names></name> <name><surname>Desai</surname> <given-names>AS</given-names></name> <name><surname>Diaz</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Treatment of anemia with darbepoetin alfa in systolic heart failure</article-title>. <source>N Engl J Med.</source> (<year>2013</year>) <volume>368</volume>:<fpage>1210</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1056/NEJMoa1214865</pub-id><pub-id pub-id-type="pmid">23473338</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Anker</surname> <given-names>SD</given-names></name> <name><surname>Kirwan</surname> <given-names>BA</given-names></name> <name><surname>van Veldhuisen</surname> <given-names>DJ</given-names></name> <name><surname>Filippatos</surname> <given-names>G</given-names></name> <name><surname>Comin-Colet</surname> <given-names>J</given-names></name> <name><surname>Ruschitzka</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Effects of ferric carboxymaltose on hospitalisations and mortality rates in iron-deficient heart failure patients: an individual patient data meta-analysis</article-title>. <source>Eur J Heart Fail.</source> (<year>2018</year>) <volume>20</volume>:<fpage>125</fpage>&#x02013;<lpage>33</lpage>. <pub-id pub-id-type="doi">10.1002/ejhf.823</pub-id><pub-id pub-id-type="pmid">28436136</pub-id></citation></ref>
</ref-list> 
</back>
</article>