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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.2021.639392</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effect of Uric Acid-Lowering Agents on Patients With Heart Failure: A Systematic Review and Meta-Analysis of Randomised Controlled Trials</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Hongxuan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1165632/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Yunqing</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>Meng</surname> <given-names>Lingbing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1113621/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Li</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname> <given-names>Deping</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="aff5"><sup>5</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Cardiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Peking Union Medical College, Chinese Academy of Medical Science</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff4"><sup>4</sup><institution>Departments of Neurology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff5"><sup>5</sup><institution>Peking University Health Science Centre, Peking University Fifth School of Clinical Medicine</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Junjie Xiao, Shanghai University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Andre Rodrigues Duraes, Federal University of Bahia, Brazil; Xiang Xie, First Affiliated Hospital of Xinjiang Medical University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Deping Liu <email>lliudeping&#x00040;263.net</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to General Cardiovascular Medicine, a section of the journal Frontiers in Cardiovascular Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>05</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>639392</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>12</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>03</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Xu, Liu, Meng, Wang and Liu.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Xu, Liu, Meng, Wang and Liu</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:</bold> Elevated serum uric acid (SUA) level is considered an independent predictor of all-cause mortality and the combined endpoint of death or readmission in cardiovascular disease patients. However, the causal relationship between uric acid-lowering therapies (ULTs) and heart failure is still controversial.</p>
<p><bold>Design:</bold> Meta-analyses were performed to systematically compile available evidence to determine the overall effect of ULTs on heart failure patients.</p>
<p><bold>Method:</bold> We conducted this systematic review following the PRISMA statement guidelines. Databases were searched to identify randomised controlled trials related to the influence of a ULT intervention in people with heart failure. Data extracted from the included studies were subjected to a meta-analysis to compare the effects of ULTs to a control.</p>
<p><bold>Results:</bold> Pooled analysis of left ventricular ejection fraction (LEVF) showed an insignificant result towards the ULT group (MD, 1.63%; 95%CI, &#x02212;1.61 to 4.88; <italic>p</italic> = 0.32; three studies). Pooled analysis of the 6-Minute Walk Test (6MWT) showed an insignificant result towards the ULT group (MD, 4.59; 95%CI, &#x02212;12.683 to 22.00; <italic>p</italic> = 0.61; four studies). Pooled analysis of BNP/NT-pro-BNP led to a nearly statistically significant result towards the ULT group (SMD, &#x02212;0.30; 95%CI, &#x02212;0.64 to 0.04; <italic>p</italic> = 0.08; five studies). Pooled analysis of all-cause mortality and cardiovascular death between ULTs (all XOIs) and placebo did not show a significant difference (RR, 1.26; 95% CI, 0.74 to 2.15, <italic>p</italic> = 0.39).</p>
<p><bold>Conclusion:</bold> ULTs did not improve LVEF, BNP/NT-pro-BNP, 6MWT, all-cause mortality, and CV death in heart failure patients. UA may just be a risk marker of heart failure.</p>
</abstract>
<kwd-group>
<kwd>uric acid</kwd>
<kwd>hyperuricemia (HUA)</kwd>
<kwd>heart failure</kwd>
<kwd>left ventricular ejection fraction</kwd>
<kwd>six minute walk test</kwd>
<kwd>B type natriuretic peptide</kwd>
<kwd>mortality</kwd>
</kwd-group>
<counts>
<fig-count count="10"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="12"/>
<word-count count="5065"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Since we lack the uricase enzyme, which oxidises uric acid (UA) to allantoin, UA is the final metabolite of purine&#x00027;s degradation by xanthine oxidase (XO) enzyme in humans and some primates. The liver, intestines, muscle, and vascular endothelium produce UA from food digestion and endogenously synthesised purine compounds. Hyperuricemia is defined as having a serum uric acid (SUA) level of &#x0003E;7.0 mg/dl in men and &#x0003E;5.7 mg/dl in women, and the prevalence of hyperuricemia in the USA is above 20% both in men and women (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Heart failure (HF) is a lethal chronic condition that affects at least 26 million people worldwide and increases prevalence (<xref ref-type="bibr" rid="B2">2</xref>). Despite HF treatments having progressed remarkedly over the past three decades, HF with preserved ejection fraction (HFpEF), where its morbidity and mortality are on par with HF with reduced ejection fraction (HFrEF), still needs treatments proven to be effective (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>UA has an antioxidant effect that is considered preventive for cardiovascular disease (CVD), such as atherosclerosis (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Nevertheless, xanthine oxidoreductase (XOR) produces UA and brings out reactive oxygen species (ROS); inhibiting XO activity improves myocardial function in patients with idiopathic dilated cardiomyopathy, suggesting that XO activity may contribute to energy metabolism in human heart failure (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). These findings implicate an intricate role of xanthine oxidase activity involved in the development of CVD.</p>
<p>A meta-analysis involving 12,854 acute heart failure patients indicated that elevated SUA level is an independent predictor of all-cause mortality and the combined endpoint of death or readmission in acute heart failure patients (<xref ref-type="bibr" rid="B8">8</xref>). One cohort study showed that UA is a predictor of both short-term and long-term mortality of the elderly admitted to the medical department (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). Although a plethora of evidence supports the association between hyperuricemia and increased mortality risk, it is still controversial whether UA plays a role as a risk marker or risk factor in CVD and cardiometabolic disease.</p>
<p>Synthesised RCT data showed no difference in cardiovascular events among urate-lowering therapies (ULTs) in gout (<xref ref-type="bibr" rid="B11">11</xref>). Xanthine oxidase inhibitor (XOI) did not significantly reduce the risk of major adverse cardiovascular events and death (<xref ref-type="bibr" rid="B12">12</xref>). Conflicting evidence suggests a reverse causality of the relationship between SUA elevation and CVD (<xref ref-type="bibr" rid="B13">13</xref>). The purpose of this meta-analysis is to assess the effect of ULTs on HF patients.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>We conducted this systematic review under the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement guidelines (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>We carried out a keyword search using the terms &#x0201C;uric acid,&#x0201D; &#x0201C;heart failure,&#x0201D; and &#x0201C;randomised controlled trials&#x0201D; and ULTs like &#x0201C;Uricosuric&#x0201D; and &#x0201C;Xanthine oxidase inhibitor.&#x0201D; We searched Ovid MEDLINE, Web of Science, EMBASE, PubMed, ClinicalTrials, Google Scholar, and Cochrane Library databases from the start date of September 20, 2020. These databases were searched using a combination of subject headings (such as Medical Subject Headings), filters (such as &#x0201C;RCT&#x0201D;), or PICOS framework when available. We also reviewed the references of included studies to identify additional pertinent studies. We imposed no language or time restriction. A protocol was developed before commencing this review on PROSPERO [CRD42020209883].</p>
<sec>
<title>Inclusion and Exclusion Criteria</title>
<p>Two reviewers independently assessed the records identified from the search for eligibility. Any discrepancies were resolved by consensus. We included any randomised controlled trials comparing ULTs vs. placebo in adult heart failure patients. The target population was adults (aged 18 years and above) with heart failure (as defined by New York Heart Association). The outcome had to objectively measure cardiac capacity and mortalities. We excluded studies that were not placebo controlled and missing critical data. Studies that followed or treated the patients with XOI for &#x0003C;4 weeks or did not measure heart functions and mortalities were excluded. Studies whose intervention groups received co-interventions were also excluded.</p>
</sec>
<sec>
<title>Study Quality</title>
<p>The two authors assessed study quality based on the seven domains defined by the Cochrane Collaboration tool for assessing the risk of bias (<xref ref-type="bibr" rid="B15">15</xref>): (1) random sequence generation; (2) allocation concealment; (3) blinding of participants and personnel; (4) blinding of outcome assessment; (5) incomplete outcome data; (6) selective reporting; and (7) other biases, including baseline imbalance, early stopping, and bias due to vested financial interest or academic bias.</p>
</sec>
<sec>
<title>Data Extraction</title>
<p>One author (XHX) extracted all data, and both authors (XHX and LYQ) reviewed the data for accuracy. The following data were collected: country, duration of the trial, date of publication; numbers of individuals included, inclusion criteria, exclusion criteria, baseline characteristics, intervention, and control; outcomes: SUA change, left ventricular ejection fraction (LVEF), Six-Minute Walk Test (6MWT), brain natriuretic peptide/N-terminal Brain Natriuretic Peptide (BNP/NT-BNP), all-cause mortality, and cardiovascular death.</p>
<p>We used Origin 2019b (OriginLab Corporation) to extract data from the figures. We used the methods derived from Wan et al. to estimate the sample mean and standard deviation (SD) from the sample size, median, and interquartile range (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec>
<title>Data Synthesis</title>
<sec>
<title>Meta-Analyses</title>
<p>Meta-analysis was performed with Review Manager 5.4.1. We used a random-effect model and calculated the mean difference (MD) to generate pooled estimates of LVEF and 6MWT changes, a random-effect model and standard mean difference (SMD) to calculate the intervention effects of SUA and BNP/NT-BNP across studies. Mortality data were performed by risk ratio (RR) using random-effect Mantel-Haenszel methods (<xref ref-type="bibr" rid="B17">17</xref>). We calculated the standard deviation using an assumption of a 0.5 correlation or deriving correlation from studies with existing data for studies that did not report the standard deviation of the mean of change, following the Cochrane Handbook for Systematic Reviews of Interventions. The <italic>I</italic><sup>2</sup> statistic was used to assess the degree of statistical heterogeneity (0&#x02013;40%: might not be important, 30&#x02013;60%: moderate heterogeneity, 50&#x02013;90%: substantial heterogeneity, 75&#x02013;100%: considerable heterogeneity) (<xref ref-type="bibr" rid="B18">18</xref>). <italic>P</italic>-values &#x0003C;0.05 were considered statistically significant.</p>
<p>We conducted subgroup analyses to explore the potential causes of heterogeneity for treatment effect on different ULT methods (XOIs vs. uricosuric drugs).</p>
</sec>
<sec>
<title>Trial Sequential Analysis</title>
<p>Trial sequential analysis is a methodology that considers how much information is needed to anticipate a specific required information size (<xref ref-type="bibr" rid="B19">19</xref>). We used the TSA program version 0.9.5.10 Beta (Copenhagen Trial Unit) to adjust the confidence intervals due to sparse data and repetitive testing of cumulative data and calculate the required information size. If the cumulative Z-curve crosses a trial sequential monitoring boundary or enters the futility area, the required information size may have reached a sufficient level of evidence. Conversely, the conclusive evidence is insufficient if the Z-curve does not cross any boundaries. The required information size was calculated based on autogenerated empirical data per input data. We performed the trial sequential analysis at the level of an overall 5% risk of type I error and a power of 20%.</p>
</sec>
</sec>
<sec>
<title>Sensitivity Analysis</title>
<p>We conducted a <italic>post-hoc</italic> sensitivity analysis to assess a single study&#x00027;s impact on overall heterogeneity.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Included Studies</title>
<p>Six studies (<xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B25">25</xref>), with a total of 864 participants, fulfilled the inclusion criterion (<xref ref-type="fig" rid="F1">Figure 1</xref>). SUA was assessed in five studies, LVEF in three studies, BNP/NT-BNP in five studies, 6MWT in four studies, and mortality in two studies. <xref ref-type="table" rid="T1">Table 1</xref> summarises the characteristics of the included studies.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow diagram.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Characteristics of included studies.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>References</bold></th>
<th valign="top" align="left"><bold>Age (control/intervention)</bold></th>
<th valign="top" align="center"><bold>Male %</bold></th>
<th valign="top" align="left"><bold>Inclusion criteria</bold></th>
<th valign="top" align="left"><bold>Intervention</bold></th>
<th valign="top" align="left"><bold>Control</bold></th>
<th valign="top" align="left"><bold>Duration</bold></th>
<th valign="top" align="left"><bold>Intervention protocol</bold></th>
<th valign="top" align="left"><bold>Outcomes measured</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gavin and Struthers (<xref ref-type="bibr" rid="B20">20</xref>)</td>
<td valign="top" align="left">67</td>
<td valign="top" align="center">77</td>
<td valign="top" align="left">NYHA II-III</td>
<td valign="top" align="left">Allopurinol (<italic>n</italic> = 44)</td>
<td valign="top" align="left">Placebo (<italic>n</italic> = 44)</td>
<td valign="top" align="left">12 week</td>
<td valign="top" align="left">Allopurinol 300 mg/day</td>
<td valign="top" align="left">BNP, 6MWT</td>
</tr>
<tr>
<td valign="top" align="left">Cingolani et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="top" align="left">66.7/70.6</td>
<td valign="top" align="center">60/63</td>
<td valign="top" align="left">NYHA II-III, LVEF &#x02264;40%, 6MWT &#x0003C;425 m</td>
<td valign="top" align="left">Oxypurinol (<italic>n</italic> = 21)</td>
<td valign="top" align="left">Placebo (<italic>n</italic> = 26)</td>
<td valign="top" align="left">1 month</td>
<td valign="top" align="left">Oxypurinol 100 mg/day a week, then 600 mg/day</td>
<td valign="top" align="left">SUA, LVEF, 6MWT</td>
</tr>
<tr>
<td valign="top" align="left">Hare et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="top" align="left">65/64</td>
<td valign="top" align="center">70/76</td>
<td valign="top" align="left">NYHA III-IV, LVEF &#x02264;40%</td>
<td valign="top" align="left">Oxypurinol (<italic>n</italic> = 203)</td>
<td valign="top" align="left">Placebo (<italic>n</italic> = 202)</td>
<td valign="top" align="left">24-week</td>
<td valign="top" align="left">Oxypurinol 100 mg/day a week, then 600 mg/day</td>
<td valign="top" align="left">SUA, BNP, mortality</td>
</tr>
<tr>
<td valign="top" align="left">Ogino et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="top" align="left">59/62</td>
<td valign="top" align="center">75/74</td>
<td valign="top" align="left">NYHA I-III, hyperuricemia (UA &#x0003E;7.0 mg/dl)</td>
<td valign="top" align="left">Benzbromarone (<italic>n</italic> = 14)</td>
<td valign="top" align="left">Placebo (<italic>n</italic> = 14)</td>
<td valign="top" align="left">8-week</td>
<td valign="top" align="left">Benzbromarone 50 mg/day</td>
<td valign="top" align="left">SUA, BNP, LVEF</td>
</tr>
<tr>
<td valign="top" align="left">Givertz et al. (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="top" align="left">63/63</td>
<td valign="top" align="center">78/86</td>
<td valign="top" align="left">LVEF &#x02264;40%, SUA &#x02265;9.5 mg/dl</td>
<td valign="top" align="left">Allopurinol (<italic>n</italic> = 128)</td>
<td valign="top" align="left">Placebo (<italic>n</italic> = 125)</td>
<td valign="top" align="left">24-week</td>
<td valign="top" align="left">Allopurinol 300 mg/day, then 600 mg/day if tolerated</td>
<td valign="top" align="left">SUA, NT-pro-BNP, LVEF, 6MWT, mortality</td>
</tr>
<tr>
<td valign="top" align="left">Robbins et al. (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="top" align="left">57.7</td>
<td valign="top" align="center">80</td>
<td valign="top" align="left">NYHA II-IV, LVEF &#x02264;40%</td>
<td valign="top" align="left">Probenecid (<italic>n</italic> = 20)</td>
<td valign="top" align="left">Placebo (<italic>n</italic> = 20)</td>
<td valign="top" align="left">4-week</td>
<td valign="top" align="left">Probenecid 2 g/d (twice daily)</td>
<td valign="top" align="left">NT-pro-BNP, 6MWT</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>NYHA, New York Heart Association; SUA, serum uric acid; BNP, B-type natriuretic peptide; NT-pro-BNP, N-terminal-pro-B-type natriuretic peptide; LVEF, left ventricular ejection fraction; 6MWT, Six-Minute Walk Test</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p>The most common SUA-lowering therapy was XOI (four out of six studies). The follow-up duration ranged from 4 to 24 weeks, with a median of 10 weeks. The mean age was 62 years (range, 58&#x02013;69). Men accounted for 66% (range, 36&#x02013;82%) of the pooled population. The ULTs were uricosuric drugs (benzbromarone, probenecid) and XOIs (allopurinol, oxypurinol).</p>
</sec>
<sec>
<title>Risk of Bias and Grade</title>
<p>Five studies did not provide enough details regarding the method of randomisation other than just stating that it was a randomised trial (<xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Hence, the random sequence generation and allocation concealment were unclear. One study was deemed to have a high risk of incomplete outcome data (<xref ref-type="bibr" rid="B25">25</xref>). <xref ref-type="fig" rid="F2">Figure 2</xref> summarised the risk of bias. <xref ref-type="table" rid="T2">Table 2</xref> summarised the GRADE evidence table.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Risk of bias summary.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0002.tif"/>
</fig>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>GRADE evidence table.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="center" colspan="7" style="border-bottom: thin solid #000000;"><bold>Certainty assessment</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>No of patients</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Effect</bold></th>
<th valign="top" align="left"><bold>Certainty</bold></th>
<th valign="top" align="left"><bold>Importance</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>No of studies</bold></th>
<th valign="top" align="left"><bold>Study design</bold></th>
<th valign="top" align="left"><bold>Risk of bias</bold></th>
<th valign="top" align="left"><bold>Inconsistency</bold></th>
<th valign="top" align="left"><bold>Indirectness</bold></th>
<th valign="top" align="left"><bold>Imprecision</bold></th>
<th valign="top" align="left"><bold>Other considerations</bold></th>
<th valign="top" align="left"><bold>Uric lowering therapies</bold></th>
<th valign="top" align="left"><bold>Placebo</bold></th>
<th valign="top" align="left"><bold>Relative (95% CI)</bold></th>
<th valign="top" align="left"><bold>Absolute (95% CI)</bold></th>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="13"><bold>Left ventricular ejection fraction</bold></td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">Randomised trials</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Serious<xref ref-type="table-fn" rid="TN1"><sup>a</sup></xref></td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">163</td>
<td valign="top" align="left">165</td>
<td valign="top" align="left">&#x02013;</td>
<td valign="top" align="left">MD <bold>1.63 % higher</bold><break/> (1.61 lower to 4.88 higher)</td>
<td valign="top" align="left">&#x02295;&#x02295;&#x02295;&#x025CB; moderate</td>
<td valign="top" align="left">Important</td>
</tr>
<tr>
<td valign="top" align="left" colspan="13"><bold>B-type natriuretic peptide and N-terminal-pro-B-type natriuretic peptide</bold></td>
</tr>
<tr>
<td valign="top" align="left">5</td>
<td valign="top" align="left">Randomised trials</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Serious<xref ref-type="table-fn" rid="TN2"><sup>b</sup></xref></td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">387</td>
<td valign="top" align="left">383</td>
<td valign="top" align="left">&#x02013;</td>
<td valign="top" align="left">SMD <bold>0.3 SD lower</bold><break/> (0.64 lower to 0.04 higher)</td>
<td valign="top" align="left">&#x02295;&#x02295;&#x02295;&#x025CB; moderate</td>
<td valign="top" align="left">Important</td>
</tr>
<tr>
<td valign="top" align="left" colspan="13"><bold>Six-Minute Walk Test</bold></td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">Randomised trials</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">170</td>
<td valign="top" align="left">167</td>
<td valign="top" align="left">&#x02013;</td>
<td valign="top" align="left">MD <bold>3.47 m lower</bold><break/> (14.84 lower to 7.9 higher)</td>
<td valign="top" align="left">&#x02295;&#x02295;&#x02295;&#x02295; high</td>
<td valign="top" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left" colspan="13"><bold>Cardiovascular death</bold></td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Randomised trials</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">13/331 (3.9%)</td>
<td valign="top" align="left">11/327 (3.4%)</td>
<td valign="top" align="left"><bold>RR 1.16</bold><break/> (0.41 to 3.23)</td>
<td valign="top" align="left"><bold>5 more per 1,000</bold><break/> (from 20 fewer to 75 more)</td>
<td valign="top" align="left">&#x02295;&#x02295;&#x02295;&#x02295; high</td>
<td valign="top" align="left">Critical</td>
</tr>
<tr>
<td valign="top" align="left" colspan="13"><bold>All-cause mortality</bold></td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">Randomised trials</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">Not serious</td>
<td valign="top" align="left">None</td>
<td valign="top" align="left">18/331 (5.4%)</td>
<td valign="top" align="left">13/327 (4.0%)</td>
<td valign="top" align="left"><bold>RR 1.36</bold><break/> (0.68 to 2.73)</td>
<td valign="top" align="left"><bold>14 more per 1,000</bold><break/> (from 13 fewer to 69 more)</td>
<td valign="top" align="left">&#x02295;&#x02295;&#x02295;&#x02295; high</td>
<td valign="top" align="left">Critical</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p><italic>The numbers of studies and participants are relatively low</italic>.</p></fn>
<fn id="TN2"><label>b</label><p><italic>The results of the two subgroups are inconsistent. RR: relative risk. m: meters</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Left Ventricular Ejection Fraction</title>
<p>The LVEF at baseline in the control group (23.4% &#x000B1; 7.7) was significantly lower than the intervention group (25.6% &#x000B1; 8.6) in (<xref ref-type="bibr" rid="B24">24</xref>). The LVEF at baseline in Ogino et al. (49.5 &#x000B1; 12.7) is higher than the other two studies due to different inclusion criteria. Pooled analysis of LEVF (<xref ref-type="fig" rid="F3">Figure 3</xref>) showed an insignificant result towards the ULT group (MD, 1.63%; 95%CI, &#x02212;1.61 to 4.88; <italic>p</italic> = 0.32; three studies) with substantial heterogeneity (<italic>I</italic><sup>2</sup> = 82%), a test for subgroup heterogeneity showed low heterogeneity (<italic>I</italic><sup>2</sup> = 0%).</p>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Meta-analysis of left ventricular ejection fraction.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0003.tif"/>
</fig>
<p>The effect size was mainly powered by Cingolani et al. (<xref ref-type="bibr" rid="B21">21</xref>). After excluding this study, the result was still insignificant (MD, 0.01; 95% CI, &#x02212;1.86 to 1.88; <italic>p</italic> = 0.99) but with low heterogeneity (<italic>I</italic><sup>2</sup> = 0%). A test for subgroup heterogeneity showed low heterogeneity (<italic>I</italic><sup>2</sup> = 0%) (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Meta-analysis of left ventricular ejection fraction without Cingolani et al.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0004.tif"/>
</fig>
<p>TSA using a random-effect model showed that the cumulative Z-curve of LVEF neither crossed a trial sequential monitoring boundary nor entering the futility area (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Trial sequential analysis of left ventricular ejection fraction.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0005.tif"/>
</fig>
</sec>
<sec>
<title>B-Type Natriuretic Peptide and N-Terminal-Pro-B-Type Natriuretic Peptide</title>
<p>Pooled analysis of BNP/NT-pro-BNP (<xref ref-type="fig" rid="F6">Figure 6</xref>) showed a nearly statistically significant result towards the ULT group (SMD, &#x02212;0.30; 95% CI, &#x02212;0.64 to 0.04; <italic>p</italic> = 0.08; five studies) with substantial heterogeneity (<italic>I</italic><sup>2</sup> = 72%), a test for subgroup heterogeneity showed substantial heterogeneity (<italic>I</italic><sup>2</sup> = 81.5%).</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Meta-analysis of B-type natriuretic peptide and N-terminal-pro-B-type natriuretic peptide.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0006.tif"/>
</fig>
<p>The difference between subgroups was significant (<italic>p</italic> = 0.02). The XOI group showed an insignificant result (SMD, &#x02212;0.03; 95% CI, &#x02212;0.17 to 0.12; <italic>p</italic> = 0.78; three studies) with low heterogeneity (<italic>I</italic><sup>2</sup> = 0%). The uricosuric group led to a significant effect (SMD, &#x02212;1.01; 95% CI, &#x02212;1.83 to 0.19; <italic>p</italic> = 0.02; two studies) with moderate to substantial heterogeneity (<italic>I</italic><sup>2</sup> = 59%).</p>
</sec>
<sec>
<title>Six-Minute Walk Test</title>
<p>Pooled analysis of 6MWT (<xref ref-type="fig" rid="F7">Figure 7</xref>) showed an insignificant result towards the ULT group (MD, 4.59; 95% CI, &#x02212;12.683 to 22.00; <italic>p</italic> = 0.61; four studies) with substantial heterogeneity (<italic>I</italic><sup>2</sup> = 76%), a test for subgroup heterogeneity showed low heterogeneity (<italic>I</italic><sup>2</sup> = 0%).</p>
<fig id="F7" position="float">
<label>Figure 7</label>
<caption><p>Meta-analysis of 6-Min Walk Test.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0007.tif"/>
</fig>
<p>However, similar to LVEF, after excluding Cingolani et al., the overall heterogeneity drastically reduced to <italic>I</italic><sup>2</sup> = 0%. The effect size turned towards the control group (MD, &#x02212;3.47; 95% CI, &#x02212;14.84 to 7.90; <italic>p</italic> = 0.55; three studies) (<xref ref-type="fig" rid="F8">Figure 8</xref>).</p>
<fig id="F8" position="float">
<label>Figure 8</label>
<caption><p>Meta-analysis of 6-Min Walk Test without Cingolani et al.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0008.tif"/>
</fig>
<p>TSA using a random-effect model showed that the cumulative Z-curve of 6MWT neither crossed a trial sequential monitoring boundary nor entering the futility area (<xref ref-type="fig" rid="F9">Figure 9</xref>).</p>
<fig id="F9" position="float">
<label>Figure 9</label>
<caption><p>Trial sequential analysis of 6-Min Walk Test.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0009.tif"/>
</fig>
</sec>
<sec>
<title>All-Cause Mortality and Cardiovascular Death</title>
<p>Overall, the pooled analysis of all-cause mortality and cardiovascular death between ULTs (all XOIs) and placebo did not show a significant difference (RR, 1.26; 95% CI, 0.74 to 2.15; <italic>p</italic> = 0.39) with low heterogeneity (<italic>I</italic><sup>2</sup> = 0%) (<xref ref-type="fig" rid="F10">Figure 10</xref>).</p>
<fig id="F10" position="float">
<label>Figure 10</label>
<caption><p>Meta-analysis of all-cause mortality and cardiovascular death.</p></caption>
<graphic xlink:href="fcvm-08-639392-g0010.tif"/>
</fig>
<p>The all-cause mortality is slightly in favour of the control group (RR, 1.36; 95% CI, 0.68 to 2.73; <italic>p</italic> = 0.39).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This meta-analysis examined the relationship between ULTs and all-cause mortality, CV mortality, BNP/NT-pro-BNP, 6MWT, and LVEF in HF patients. We did not find any statistically significant difference between ULTs and placebos. However, it did show a significant effect in favour of the uricosuric group (benzbromarone and probenecid) on BNP/NT-pro-BNP.</p>
<p>A large quantity of experimental and clinical data suggests that oxidative stress contributes to ventricular and vascular remodelling and disease progression in HF. XO is a potent source of oxidative stress, and therefore an intuitive target for therapy.</p>
<p>Probenecid is an agonist of transient receptor potential vanilloid 2 (TRPV2), which may increase myocardial contractility <italic>via</italic> increased calcium cycling on a beat-to-beat basis (<xref ref-type="bibr" rid="B26">26</xref>). It increased the force generation and calcium sensitivity of single cardiomyocytes, consistent with improved cardiac function observed in patients with HFrEF (<xref ref-type="bibr" rid="B25">25</xref>). Even though the results of Robbins et al. were compatible with most pooled results of included studies, it was a source of underlying heterogeneity. Cingolani et al. (<xref ref-type="bibr" rid="B21">21</xref>) had the most significant SUA reduction and the shortest follow-up period; it may indicate a short-term protective effect of XOI.</p>
<p>Previous studies indicated that XOI improves peripheral vasodilator capacity and blood flow, both locally and systemically in hyperuricemia CHF patients (<xref ref-type="bibr" rid="B27">27</xref>). Moreover, acute exposure of arteries and aortas isolated from aged WKY rats to a high UA concentration did not provoke changes in endothelial function (<xref ref-type="bibr" rid="B28">28</xref>). Allopurinol may improve endothelial function by reducing vascular oxidative stress and not in urate reduction (<xref ref-type="bibr" rid="B29">29</xref>). However, similar to our results, several recent meta-analyses, including observational studies, demonstrated that XOI did not have a long-term protective effect regarding all-cause mortality and cardiovascular death (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Imbalanced nitric oxide (NO) bioavailability may induce impairment of endothelium-dependent relaxation due to an imbalance between endothelium-derived relaxing factors (EDRFs) and endothelium-derived contracting factors (EDCFs) (<xref ref-type="bibr" rid="B32">32</xref>). XOR and UA may decrease endothelial NO bioavailability through multiple mechanisms (<xref ref-type="bibr" rid="B33">33</xref>). Despite that ROS is produced during the XOR process, XOR is not the only pathway that contributes to nitroso-redox imbalance. Other enzymes also have ROS, such as NADPH oxidase enzymes, the respiratory chain in the mitochondria, and superoxide dismutase. XOI might be inadequate to curtail the cascade of ROS accumulated in HF patients.</p>
<p>Along with these pathophysiological assumptions, researchers observed that elevated UA levels are related to HF markers, such as measures of myocardial mechanical and energetic efficiency, LVEF, LV stroke volume, cardiac output, cardiac remodelling, endothelium dysfunction, plasma BNP levels, and CHF disease progression (<xref ref-type="bibr" rid="B27">27</xref>). It was also considered an independent predictor of mortality in HF patients and a robust dose-dependent increase of risk parallel to higher UA levels. Several studies showed a U-shaped association between UA and all-cause or CV mortality; SUA &#x02265;8 or &#x0003C;4 mg/dl independently predicts higher all-cause and CVD-related mortality in the elderly (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Accordingly, we pooled several studies with an HF population with reduced ejection fraction and with or without elevated serum UA levels. In the OPT-CHF and EXAT-HF, both trials failed to show a beneficial effect regarding mortality. Notably, OPT-CHF included patients regardless of the UA level at baseline were included, while EXAT-HF only included patients with elevated serum uric acid levels (UA &#x02265;9.5 mg/dl). However, the consistency of included studies was high despite the different inclusion criteria. We found that using ULTs, including XOI and uricosuric drugs on HF patients with or without hyperuricemia, did not improve heart function, exercise capacity, all-cause, and CV mortality. Therefore, UA may not be a causative risk factor in HF patients.</p>
</sec>
<sec id="s5">
<title>Limitations</title>
<p>Even though most studies in this meta-analysis included patients with HFrEF and it is the most common type of HF (<xref ref-type="bibr" rid="B36">36</xref>), two studies (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>) did not specifically include patients with HFrEF. In HFpEF, the endothelial cells that line small blood vessels in the heart become dysfunctional and fail to synthesise adequate amounts of NO (<xref ref-type="bibr" rid="B37">37</xref>). Evidence showed that XOI could decrease NO production (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Since there is only one ongoing study (<xref ref-type="bibr" rid="B39">39</xref>), we cannot include the XO selective, uric acid-lowering drug febuxostat. However, febuxostat recently showed to increase the risk of future development of cardiovascular disease (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>The overall sample size was small, and even though we included only randomised, placebo-controlled trials, different patient inclusion, exclusion criteria, and dosing protocol can lead to potential heterogeneity. The duration of included studies was also various. Therefore, the conclusions may be influenced by publication bias and should be regarded as preliminary.</p>
</sec>
<sec sec-type="conclusions" id="s6">
<title>Conclusion</title>
<p>ULTs did not improve LVEF, BNP/NT-pro-BNP, 6MWT, all-cause mortality, and CV death in HF patients. UA may just be a risk marker of HF.</p>
</sec>
<sec sec-type="data-availability-statement" id="s7">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>HX and DL contributed to the study&#x00027;s conception. HX and YL screened studies and extracted data. HX performed the data analyses and wrote the manuscript. DL, LM, LW, and YL helped perform the analysis with constructive discussions. All authors had read and approved the final manuscript.</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>
</body>
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<fn fn-type="financial-disclosure"><p><bold>Funding.</bold> The present study was funded by the Chinese Academy of Medical Sciences, CAMS Innovation Fund for Medical Sciences (Grand no. 2018-I2M-1-002).</p></fn>
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