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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1654173</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1654173</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Febuxostat may decrease the incidence of COVID-19 infection among patients with gout: a retrospective cohort study</article-title>
<alt-title alt-title-type="left-running-head">Wang et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1654173">10.3389/fphar.2025.1654173</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Weijie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/897790/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wang</surname>
<given-names>Shiow-Ing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1886341/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cheng</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3113284/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xinchang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1941690/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Fan</surname>
<given-names>Yongsheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wei</surname>
<given-names>James Cheng-Chung</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>State Key Clinical Specialty of Rheumatology, Department of Rheumatology, The Second Affiliated Hospital of Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Center for Health Data Science, Department of Medical Research, Chung Shan Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Medicine, Chung Shan Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>The Second Clinical Medical College of Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>School of Basic Medicine, Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Allergy, Immunology and Rheumatology, Chung Shan Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Graduate Institute of Integrated Medicine, China Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2434065/overview">David E. Martin</ext-link>, TrippBio, Inc., United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2615729/overview">Zhengqi Liu</ext-link>, Shenzhen University, China</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3176797/overview">Shachaf Shiber</ext-link>, Rabin Medical Center, Israel</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Weijie Wang, <email>jack1987168@163.com</email>; James Cheng-Chung Wei, <email>jccwei@gmail.com</email>
</corresp>
<fn fn-type="equal" id="fn001">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1654173</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Wang, Wang, Cheng, Wang, Fan and Wei.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Wang, Cheng, Wang, Fan and Wei</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>As COVID-19 infection causes a kidney proximal tubule dysfunction with urinary loss of uric acid. Hypouricemia has been found in patients with severe COVID-19 disease. However, gout is a risk factor for COVID-19 incidence and COVID-19-related death. It is not known whether urate-lowering therapy could reduce the risk of infection of COVID-19 in gout patients or not.</p>
</sec>
<sec>
<title>Methods</title>
<p>Data from collaborative electronic health records were used in this study. A total of 663,729 patients with gout were enrolled between January 1, 2020 and December31, 2022 from 35,528,077 participants in US Collaborative Network with at least two visits. After exclusion and propensity score matching, 5,466 patients with Febuxostat and 5,466 patients with Allopurinol in the comparison group were selected. The hazard ratios (HRs) and 95% confidence intervals of COVID-19 incidence, and mechanical utilization were calculated between Febuxostat and Allopurinol groups. Subgroup analyses on sex, age, levels of serum uric acid, with vaccination group and sensitivity analyses for gout patients due to renal impairment or with tophus, different follow-up durations and considered competing risk were performed.</p>
</sec>
<sec>
<title>Results</title>
<p>Compared to Allopurinol group, Febuxostat significantly reduced the risk of COVID-19 incidence (HR &#x3d; 0.878 [0.801&#x2013;0.963]) and hospitalization (HR &#x3d; 0.874 [0.772&#x2013;0.989]). Febuxostat appears to be more effective in male, elder, without record of COVID-19 vaccination, and gout patients with serum uric acid&#x3c;10&#xa0;mg/dL in reducing the risk of COVID-19 infection. In addition, Febuxostat markedly reduced the hospitalization (HR &#x3d; 0.652 [0.485&#x2013;0.877]) in gout patients due to renal impairment or with tophus and the risks of COVID-19 incidence (HR &#x3d; 0.878 [0.801&#x2013;0.963]).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In this retrospective cohort study, Febuxostat use was associated with a lower risk of COVID-19 among patients with gout for 3&#xa0;years follow-up, even with renal impairment or tophus.</p>
</sec>
</abstract>
<kwd-group>
<kwd>febuxostat</kwd>
<kwd>COVID-19</kwd>
<kwd>serum uric acid</kwd>
<kwd>collaborative network</kwd>
<kwd>gout</kwd>
</kwd-group>
<counts>
<page-count count="11"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacology of Infectious Diseases</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>More than 200 countries have been affected by the Coronavirus disease 2019 (COVID-19) pandemic that has caused more than 6 million confirmed deaths and 15 million estimated deaths (<xref ref-type="bibr" rid="B35">Wang H., 2022</xref>).</p>
<p>Renal abnormalities and gastrointestinal symptoms are common in COVID-19 patients which contributed a lot to the mortality (<xref ref-type="bibr" rid="B2">Austhof et al., 2022</xref>; <xref ref-type="bibr" rid="B5">Cheng et al., 2020</xref>). SARS-CoV-2 primarily targets the kidneys and gut, which are both important for uric acid excretion. Patients with severe COVID-19 disease had significantly lower serum uric acid concentrations (<xref ref-type="bibr" rid="B14">He et al., 2020</xref>; <xref ref-type="bibr" rid="B31">Werion et al., 2020</xref>), possibly because inflammation reduced renal tubular uric acid net reabsorption, according to recent studies. However, the retrospective study from Leishenshan Hospital in China demonstrated that the levels of uric acid&#x2265;423&#xa0;&#x3bc;mol/L and &#x2264;278&#xa0;&#x3bc;mol/L were associated with increased risk of the composite outcome and mechanical ventilation (<xref ref-type="bibr" rid="B4">Chen et al., 2021</xref>). Additionally, hyperuricemia was found in many COVID-19 patients during favipiravir therapy (<xref ref-type="bibr" rid="B19">Koseki et al., 2022</xref>; <xref ref-type="bibr" rid="B12">Hanai et al., 2022</xref>). A population-based study in the UK Biobank cohort demonstrated that gout is a risk factor for COVID-19 incidence and COVID-19-related death (<xref ref-type="bibr" rid="B28">Topless et al., 2022</xref>). Several studies have provided evidence of the association between COVID-19 and gout. A large-scale cohort study indicated that gout patients still faced a higher risk of SARS-CoV-2 infection and severe disease progression even after vaccination (<xref ref-type="bibr" rid="B33">Xie et al., 2023</xref>). Another study from Mexico revealed that the incidence of gout flares significantly increased from 4.4% before the pandemic to 36% during the pandemic, representing an approximately 8-fold rise (<xref ref-type="bibr" rid="B9">Garc&#xed;a-Maturano et al., 2022</xref>). Data analysis from a global multicenter cohort (including 52,000 COVID-19 patients from China, the United States, and Brazil) revealed that the gout flare rate among patients with mild COVID-19 symptoms was 9.2%, whereas it reached 28.7% in severe cases. Moreover, among severe patients, the risk of gout flare was 3.1 times higher in those who did not regularly take urate-lowering therapy compared with those who did (<xref ref-type="bibr" rid="B16">Jatuworapruk et al., 2023</xref>).</p>
<p>Infection with the SARS-CoV-2 virus can trigger a stress response in the immune system, leading to the release of a large number of cytokines and initiating an inflammatory response (<xref ref-type="bibr" rid="B24">Pasrija and Naime, 2021</xref>). Gout itself is an inflammatory disease, and persistent immune system stress can amplify the inflammatory response. Concurrently, this stress disrupts the balance between uric acid production and excretion, thereby increasing the risk of gout onset (<xref ref-type="bibr" rid="B32">Wu et al., 2022</xref>). Notably, a key cytokine, IL-17A, has been implicated in both conditions. In gout, IL-17A plays a crucial role in mediating the inflammatory response. Intriguingly, research has found that the ORF8 protein expressed by the SARS-CoV-2 virus mimics the function of human IL-17A. It can bind to the IL-17 receptor A, even inducing a more intense inflammatory reaction than human IL-17A (<xref ref-type="bibr" rid="B20">Lin et al., 2023</xref>). This suggests a potential common inflammatory pathway between COVID-19 and gout. Furthermore, patients with gout frequently have a high burden of comorbidities linked to worse COVID-19 prognosis, including chronic kidney disease, hypertension, cardiovascular disease, obesity, and diabetes mellitus (<xref ref-type="bibr" rid="B26">Singh and Gaffo, 2020</xref>). This comorbid profile places the gout population <italic>a priori</italic> at a higher risk of complications from respiratory infections.</p>
<p>Recent studies have found shown that febuxostat, a non-purine selective inhibitor of xanthine oxidase (XO), is more effective and had a better safety outcome than allopurinol in lowering the uric acid levels in patients with hyperuricemia and gout (<xref ref-type="bibr" rid="B18">Konishi et al., 2022</xref>; <xref ref-type="bibr" rid="B8">Gao et al., 2021</xref>; <xref ref-type="bibr" rid="B6">Dehlin et al., 2020</xref>; <xref ref-type="bibr" rid="B29">Tsai et al., 2023</xref>).</p>
<p>Despite these strong mechanistic and epidemiological premises, and the risk between COVID-19 and gout, no large-scale study has investigated whether Febuxostat could reduce the risk of COVID-19 infections in gout patients. In the present study, we aimed to provide some evidence for Febuxostat use and the risk of COVID-19 infection.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Study design</title>
<p>Propensity score matching (PSM) was performed on age, sex, race, body mass index (BMI), socioeconomic status, comorbidities, medications, medical utilization, and laboratory tests at a ratio of 1:1 in the study cohort. After PSM, 5,466 participants in the Febuxostat and 5,466 comparisons in the Allopurinol groups were selected. <xref ref-type="fig" rid="F1">Figure 1</xref> showed the selection flowchart of the cohort.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flow chart of selection.</p>
</caption>
<graphic xlink:href="fphar-16-1654173-g001.tif">
<alt-text content-type="machine-generated">Flowchart depicting the selection process for two cohorts from electronic health records between January 1, 2020, and December 31, 2022. From 663,729 gout patients, those eighteen years or older were divided into febuxostat (7,603) and allopurinol (162,637) cohorts. Exclusions were applied for deaths or COVID-19 diagnoses near the index date. Further exclusions removed patients prescribed alternate medications. Final cohorts included 5,466 patients each, matched by propensity scores.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-2">
<title>Data sources</title>
<p>In the database, the largest worldwide data set for COVID-19 is stored. The study data was retrieved from 57 global healthcare organizations in the US Collaborative Network. We have previously presented in detail the data included in the database, including demographics, diagnoses, procedures, medication information, laboratory tests, genomics, and healthcare utilization (<xref ref-type="bibr" rid="B30">Wang W. et al., 2022</xref>). A cohort of more than 35 million participants was constructed using collaborative electronic health records.</p>
<p>A total of 663,729 patients with gout were enrolled between January1, 2020 and December31, 2022 from 35,528,077 participants in collaborative electronic health records with at least two visits. People aged&#x2265;18 years diagnosed with gout [ICD10 &#x3d; M10, M1A] were included in the cohort (n &#x3d; 630,596). In addition, two groups of participants were selected: 7,603 gout patients with Febuxostat [Anatomical Therapeutic Chemical, ATC code M04AA03, at least prescribed twice] and 162,637 gout patients with Allopurinol [ATC code M04AA01, at least prescribed twice]. The index date was the date of the first prescription during the study period. Patients diagnosed COVID-19 or deceased before or up to 7 days after the index date were excluded. Moreover, for the Febuxostat cohort, prescribed Allopurinol after the index date (switchers)and for the Allopurinol cohort, prescribed febuxostat after the index date (switchers) were also excluded. After exclusion, 5,467 patients with Febuxostat and 146,910 patients with Allopurinol in the comparison group were selected.</p>
</sec>
<sec id="s2-3">
<title>Outcomes</title>
<p>The incidence of COVID-19 and medical utilization in patients with COVID-19 was assessed starting from 7 days after the index date to the end of follow-up (lasting 3 years). The outcomes in the study were defined as follows.</p>
<p>COVID-19 incidence was defined as the presence of ICD-10 codes U07.1, U07.2, J12.82 (used early in the pandemic for COVID-19 pneumonia), U09.9, or Z86.16, or a positive SARS-CoV-2 PCR test identified by CPT/LOINC codes 9088, 41458&#x2013;1, 94746&#x2013;5, or 94511&#x2013;3. The inclusion of J12.82 ensured capture of early pandemic cases before U-codes were available, and U09.9 was included to account for cases diagnosed outside the health system but documented as post-COVID condition thereafter. The incidence of COVID-19[ICD10 &#x3d; U07, U09, J12.81, J12.82, B97.29, B34.2, Z86.16 or PCR test positive: 9088, 94306&#x2013;8, 41458&#x2013;1, 94764&#x2013;8,94511&#x2013;3,94746&#x2013;5. The codes for medical utilization was: hospitalization [CPT codes 1013659, 1013699, or 1013729 or inpatient encounter]; critical care services [CPT code 1013729]; and mechanical ventilation [ICD-10 procedure codes 5A1935Z, 5A1945Z, 5A1955Z, 0BH17EZ, 0BH18EZ, 0BH13EZ, ICD-9-CM code 39.65, or CPT codes 31500, 1015098, and 1022227].</p>
</sec>
<sec id="s2-4">
<title>Covariates</title>
<p>Other covariates about demographic, lifestyles, medical utilization, comorbidities, procedure/medication and laboratory tests were defined in <xref ref-type="sec" rid="s13">Supplementary Table S1</xref>.</p>
</sec>
<sec id="s2-5">
<title>Statistical analysis</title>
<p>In order to create groups with matched baseline characteristics, we used a greedy nearest neighbor matching approach- Propensity Score Matching-with 0.1 pooled standard deviations as caliper. To evaluate the balance of baseline characteristics in populations, standardized mean differences (SMD) were used to assess the match between the two groups at a fixed 1:1 ratio on all listed characteristics. In General, SMD &#x3c;0.1 is considered a small difference. In addition, an integrated Kaplan-Meier analysis was used to assess the incidence of outcomes, and a log-rank test was applied for significance testing. Moreover, a built-in Cox proportional hazard model was applied to estimate the hazard ratios between the Febuxostat and Allopurinol groups. The hazard ratio (HR) for risks of COVID-19, hospitalization, critical care service and medical ventilation was calculated for both the Febuxostat and Allopurinol groups. Statistical significance was evaluated using the 95% confidence interval (95% CI).</p>
<p>Four models for adjusted different variables were constructed to evaluate the risks of the outcomes. In addition, considering severe gout patients, a sensitivity analysis was performed for gout due to renal impairment (M10.3) or with tophus (M1A.XXX1). Furthermore, different follow-up duration about 7 days&#x2013;90 days, 7 days&#x2013;180 days, 7 days to 1year, 7 days to 2 years and 7 days to 3years were also investigated for the risks of outcomes. To make the evidence robust, the competing risks of mortality were also evaluated.</p>
</sec>
<sec id="s2-6">
<title>Ethics</title>
<p>The use of collaborative electronic health records for the present study was approved by the Chung Shan Medical University Institutional Review Board, number CS2-21105.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Baseline characteristics of the participants</title>
<p>The demographic characteristics, social economic status, lifestyles, co-morbidities, procedure of vaccination, medications, medical utilization and laboratory tests of the Febuxostat and Allopurinol groups before and after PSM are presented in <xref ref-type="table" rid="T1">Table 1</xref>. The mean age of the participants in the Febuxostat group was about 64 years after matching. Approximately 73.1% of the patients were male and the major race was White (67.9%). Most of the gout patients were complicated with hypertensive diseases (61.2% in the Febuxostat group). In addition, about 44.8% of gout patients also received corticosteroids for systemic use. Moreover, there were about 40% of the patients complicated with acute kidney failure and chronic kidney disease and the levels of creatinine in around 30% patients were more than 1.5&#xa0;mg/dL. The two groups were well matched regarding social economic status, comorbidities, medications and medical utilization (SMD &#x3c; 0.1).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristics of study subjects (before and after PSM matching).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristic</th>
<th colspan="3" align="left">Before matching</th>
<th colspan="3" align="left">After matching<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
</tr>
<tr>
<th align="left">Febuxostat cohort (n &#x3d; 5467)</th>
<th align="left">Allopurinol cohort (n &#x3d; 146910)</th>
<th align="left">Std diff</th>
<th align="left">Febuxostat cohort (n &#x3d; 5466)</th>
<th align="left">Allopurinol cohort (n &#x3d; 5466)</th>
<th align="left">Std diff</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Age at index, y</td>
</tr>
<tr>
<td align="left">&#x2003;Mean &#xb1; SD</td>
<td align="right">64.2 &#xb1; 13.1</td>
<td align="right">65.4 &#xb1; 12.8</td>
<td align="right">0.088</td>
<td align="right">64.2 &#xb1; 13.1</td>
<td align="right">64.1 &#xb1; 13.4</td>
<td align="right">0.007</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Sex, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="right">3995 (73.1)</td>
<td align="right">110973 (75.5)</td>
<td align="right">0.056</td>
<td align="right">3994 (73.1)</td>
<td align="right">4062 (74.3)</td>
<td align="right">0.028</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="right">1472 (26.9)</td>
<td align="right">35925 (24.5)</td>
<td align="right">0.057</td>
<td align="right">1472 (26.9)</td>
<td align="right">1403 (25.7)</td>
<td align="right">0.029</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Race, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;White</td>
<td align="right">3710 (67.9)</td>
<td align="right">102025 (69.4)</td>
<td align="right">0.034</td>
<td align="right">3710 (67.9)</td>
<td align="right">3747 (68.6)</td>
<td align="right">0.015</td>
</tr>
<tr>
<td align="left">&#x2003;Black or African American</td>
<td align="right">834 (15.3)</td>
<td align="right">24885 (16.9)</td>
<td align="right">0.046</td>
<td align="right">834 (15.3)</td>
<td align="right">801 (14.7)</td>
<td align="right">0.017</td>
</tr>
<tr>
<td align="left">&#x2003;Asian</td>
<td align="right">318 (05.8)</td>
<td align="right">4542 (03.1)</td>
<td align="right">0.132</td>
<td align="right">317 (05.8)</td>
<td align="right">337 (06.2)</td>
<td align="right">0.015</td>
</tr>
<tr>
<td align="left">&#x2003;American Indian or Alaska Native</td>
<td align="right">13 (00.2)</td>
<td align="right">348 (00.2)</td>
<td align="right">&#x3c;0.001</td>
<td align="right">13 (00.2)</td>
<td align="right">10 (00.2)</td>
<td align="right">0.012</td>
</tr>
<tr>
<td align="left">&#x2003;Native Hawaiian or Other Pacific</td>
<td align="right">17 (00.3)</td>
<td align="right">440 (00.3)</td>
<td align="right">0.002</td>
<td align="right">17 (00.3)</td>
<td align="right">21 (00.4)</td>
<td align="right">0.012</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Islander</td>
</tr>
<tr>
<td align="left">&#x2003;Unknown</td>
<td align="right">575 (10.5)</td>
<td align="right">14670 (10.0)</td>
<td align="right">0.018</td>
<td align="right">575 (10.5)</td>
<td align="right">551 (10.1)</td>
<td align="right">0.014</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Social economic status, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Persons with potential health hazards related to socioeconomic and psychosocial circumstances</td>
<td align="right">54 (01.0)</td>
<td align="right">1434 (01.0)</td>
<td align="right">0.001</td>
<td align="right">54 (01.0)</td>
<td align="right">47 (00.9)</td>
<td align="right">0.013</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Lifestyles, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Tobacco use</td>
<td align="right">72 (01.3)</td>
<td align="right">2527 (01.7)</td>
<td align="right">0.033</td>
<td align="right">72 (01.3)</td>
<td align="right">73 (01.3)</td>
<td align="right">0.002</td>
</tr>
<tr>
<td align="left">&#x2003;Nicotine dependence</td>
<td align="right">241 (04.4)</td>
<td align="right">8431 (05.7)</td>
<td align="right">0.061</td>
<td align="right">241 (04.4)</td>
<td align="right">227 (04.2)</td>
<td align="right">0.013</td>
</tr>
<tr>
<td align="left">&#x2003;Alcohol related disease</td>
<td align="right">116 (02.1)</td>
<td align="right">4328 (02.9)</td>
<td align="right">0.052</td>
<td align="right">116 (02.1)</td>
<td align="right">102 (01.9)</td>
<td align="right">0.018</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Medical utilization, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Preventive medicine services</td>
<td align="right">387 (07.1)</td>
<td align="right">11331 (07.7)</td>
<td align="right">0.024</td>
<td align="right">387 (07.1)</td>
<td align="right">360 (06.6)</td>
<td align="right">0.020</td>
</tr>
<tr>
<td align="left">&#x2003;Hospital inpatient services</td>
<td align="right">632 (11.6)</td>
<td align="right">16752 (11.4)</td>
<td align="right">0.005</td>
<td align="right">632 (11.6)</td>
<td align="right">617 (11.3)</td>
<td align="right">0.009</td>
</tr>
<tr>
<td align="left">&#x2003;Emergency department services</td>
<td align="right">1091 (20.0)</td>
<td align="right">31409 (21.4)</td>
<td align="right">0.035</td>
<td align="right">1091 (20.0)</td>
<td align="right">1029 (18.8)</td>
<td align="right">0.029</td>
</tr>
<tr>
<td align="left">&#x2003;Office or other outpatient services</td>
<td align="right">3479 (63.6)</td>
<td align="right">90446 (61.6)</td>
<td align="right">0.043</td>
<td align="right">3478 (63.6)</td>
<td align="right">3436 (62.9)</td>
<td align="right">0.016</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Comorbidities, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertensive diseases</td>
<td align="right">3346 (61.2)</td>
<td align="right">92613 (63.0)</td>
<td align="right">0.038</td>
<td align="right">3345 (61.2)</td>
<td align="right">3248 (59.4)</td>
<td align="right">0.036</td>
</tr>
<tr>
<td align="left">&#x2003;Heart failure</td>
<td align="right">847 (15.5)</td>
<td align="right">23024 (15.7)</td>
<td align="right">0.005</td>
<td align="right">847 (15.5)</td>
<td align="right">783 (14.3)</td>
<td align="right">0.033</td>
</tr>
<tr>
<td align="left">&#x2003;Ischemic heart diseases</td>
<td align="right">1016 (18.6)</td>
<td align="right">29086 (19.8)</td>
<td align="right">0.031</td>
<td align="right">1016 (18.6)</td>
<td align="right">970 (17.7)</td>
<td align="right">0.022</td>
</tr>
<tr>
<td align="left">&#x2003;Atrial fibrillation and flutter</td>
<td align="right">773 (14.1)</td>
<td align="right">21093 (14.4)</td>
<td align="right">0.006</td>
<td align="right">773 (14.1)</td>
<td align="right">720 (13.2)</td>
<td align="right">0.028</td>
</tr>
<tr>
<td align="left">&#x2003;Nontraumatic intracerebral hemorrhage</td>
<td align="right">10 (00.2)</td>
<td align="right">390 (00.3)</td>
<td align="right">0.017</td>
<td align="right">10 (00.2)</td>
<td align="right">13 (00.2)</td>
<td align="right">0.012</td>
</tr>
<tr>
<td align="left">&#x2003;Cerebral infarction</td>
<td align="right">150 (02.7)</td>
<td align="right">4132 (02.8)</td>
<td align="right">0.004</td>
<td align="right">150 (02.7)</td>
<td align="right">153 (02.8)</td>
<td align="right">0.003</td>
</tr>
<tr>
<td align="left">&#x2003;Other peripheral vascular diseases</td>
<td align="right">272 (05.0)</td>
<td align="right">6823 (04.6)</td>
<td align="right">0.015</td>
<td align="right">272 (05.0)</td>
<td align="right">245 (04.5)</td>
<td align="right">0.023</td>
</tr>
<tr>
<td align="left">&#x2003;Atherosclerosis</td>
<td align="right">214 (03.9)</td>
<td align="right">5707 (03.9)</td>
<td align="right">0.002</td>
<td align="right">214 (03.9)</td>
<td align="right">207 (03.8)</td>
<td align="right">0.007</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes mellitus</td>
<td align="right">1580 (28.9)</td>
<td align="right">44299 (30.2)</td>
<td align="right">0.027</td>
<td align="right">1579 (28.9)</td>
<td align="right">1494 (27.3)</td>
<td align="right">0.035</td>
</tr>
<tr>
<td align="left">&#x2003;Overweight and obesity</td>
<td align="right">1175 (21.5)</td>
<td align="right">31864 (21.7)</td>
<td align="right">0.005</td>
<td align="right">1174 (21.5)</td>
<td align="right">1127 (20.6)</td>
<td align="right">0.021</td>
</tr>
<tr>
<td align="left">&#x2003;Disorders of lipoprotein metabolism</td>
<td align="right">2611 (47.8)</td>
<td align="right">73114 (49.8)</td>
<td align="right">0.040</td>
<td align="right">2610 (47.7)</td>
<td align="right">2506 (45.8)</td>
<td align="right">0.038</td>
</tr>
<tr>
<td align="left">&#x2003;Neoplasms</td>
<td align="right">1044 (19.1)</td>
<td align="right">28265 (19.2)</td>
<td align="right">0.004</td>
<td align="right">1044 (19.1)</td>
<td align="right">1034 (18.9)</td>
<td align="right">0.005</td>
</tr>
<tr>
<td align="left">&#x2003;Chronic lower respiratory diseases</td>
<td align="right">805 (14.7)</td>
<td align="right">21284 (14.5)</td>
<td align="right">0.007</td>
<td align="right">805 (14.7)</td>
<td align="right">744 (13.6)</td>
<td align="right">0.032</td>
</tr>
<tr>
<td align="left">&#x2003;Anxiety, stress-related, somatoform and other nonpsychotic mental disorders</td>
<td align="right">595 (10.9)</td>
<td align="right">15816 (10.8)</td>
<td align="right">0.004</td>
<td align="right">595 (10.9)</td>
<td align="right">603 (11.0)</td>
<td align="right">0.005</td>
</tr>
<tr>
<td align="left">&#x2003;Mood [affective] disorders</td>
<td align="right">554 (10.1)</td>
<td align="right">16421 (11.2)</td>
<td align="right">0.034</td>
<td align="right">554 (10.1)</td>
<td align="right">534 (09.8)</td>
<td align="right">0.012</td>
</tr>
<tr>
<td align="left">&#x2003;Unspecified dementia</td>
<td align="right">46 (00.8)</td>
<td align="right">1469 (01.0)</td>
<td align="right">0.017</td>
<td align="right">46 (00.8)</td>
<td align="right">37 (00.7)</td>
<td align="right">0.019</td>
</tr>
<tr>
<td align="left">&#x2003;Depressive episode</td>
<td align="right">449 (08.2)</td>
<td align="right">12779 (08.7)</td>
<td align="right">0.017</td>
<td align="right">449 (08.2)</td>
<td align="right">432 (07.9)</td>
<td align="right">0.011</td>
</tr>
<tr>
<td align="left">&#x2003;Noninfective enteritis and colitis</td>
<td align="right">165 (03.0)</td>
<td align="right">4195 (02.9)</td>
<td align="right">0.010</td>
<td align="right">165 (03.0)</td>
<td align="right">166 (03.0)</td>
<td align="right">0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Diseases of liver</td>
<td align="right">396 (07.2)</td>
<td align="right">9809 (06.7)</td>
<td align="right">0.022</td>
<td align="right">395 (07.2)</td>
<td align="right">355 (06.5)</td>
<td align="right">0.029</td>
</tr>
<tr>
<td align="left">&#x2003;Sleep disorder</td>
<td align="right">1129 (20.7)</td>
<td align="right">29735 (20.2)</td>
<td align="right">0.010</td>
<td align="right">1128 (20.6)</td>
<td align="right">1042 (19.1)</td>
<td align="right">0.039</td>
</tr>
<tr>
<td align="left">&#x2003;Psoriasis</td>
<td align="right">123 (02.2)</td>
<td align="right">2245 (01.5)</td>
<td align="right">0.053</td>
<td align="right">123 (02.3)</td>
<td align="right">129 (02.4)</td>
<td align="right">0.007</td>
</tr>
<tr>
<td align="left">&#x2003;Acute kidney failure and chronic kidney disease</td>
<td align="right">2160 (39.5)</td>
<td align="right">42760 (29.1)</td>
<td align="right">0.220</td>
<td align="right">2159 (39.5)</td>
<td align="right">2065 (37.8)</td>
<td align="right">0.035</td>
</tr>
<tr>
<td align="left">&#x2003;Systemic lupus erythematosus</td>
<td align="right">52 (01.0)</td>
<td align="right">747 (00.5)</td>
<td align="right">0.052</td>
<td align="right">52 (01.0)</td>
<td align="right">56 (01.0)</td>
<td align="right">0.007</td>
</tr>
<tr>
<td align="left">&#x2003;Dermato/polymyositis</td>
<td align="right">10 (00.2)</td>
<td align="right">119 (00.1)</td>
<td align="right">0.028</td>
<td align="right">10 (00.2)</td>
<td align="right">10 (00.2)</td>
<td align="right">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Disorders of bone density and structure</td>
<td align="right">408 (07.5)</td>
<td align="right">8922 (06.1)</td>
<td align="right">0.055</td>
<td align="right">408 (07.5)</td>
<td align="right">377 (06.9)</td>
<td align="right">0.022</td>
</tr>
<tr>
<td align="left">&#x2003;Alzheimer&#x2019;s disease</td>
<td align="right">14 (00.3)</td>
<td align="right">582 (00.4)</td>
<td align="right">0.025</td>
<td align="right">14 (00.3)</td>
<td align="right">14 (00.3)</td>
<td align="right">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Conjunctivitis</td>
<td align="right">62 (01.1)</td>
<td align="right">1318 (00.9)</td>
<td align="right">0.024</td>
<td align="right">62 (01.1)</td>
<td align="right">67 (01.2)</td>
<td align="right">0.008</td>
</tr>
<tr>
<td align="left">Procedure, n (%)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;COVID-19 vaccination (BNT)<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="right">116 (02.1)</td>
<td align="right">2266 (01.5)</td>
<td align="right">0.043</td>
<td align="right">116 (02.1)</td>
<td align="right">109 (02.0)</td>
<td align="right">0.009</td>
</tr>
<tr>
<td align="left">&#x2003;COVID-19 vaccination (Moderna)<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="right">23 (00.4)</td>
<td align="right">628 (00.4)</td>
<td align="right">0.001</td>
<td align="right">23 (00.4)</td>
<td align="right">24 (00.4)</td>
<td align="right">0.003</td>
</tr>
<tr>
<td align="left">&#x2003;COVID-19 vaccination (Janssen)<xref ref-type="table-fn" rid="Tfn4">
<sup>d</sup>
</xref>
</td>
<td align="right">10 (00.2)</td>
<td align="right">37 (00.0)</td>
<td align="right">0.049</td>
<td align="right">10 (00.2)</td>
<td align="right">10 (00.2)</td>
<td align="right">&#x3c;0.001</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">&#x2003;Medication, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;NSAIDs</td>
<td align="right">1309 (23.9)</td>
<td align="right">36995 (25.2)</td>
<td align="right">0.029</td>
<td align="right">1308 (23.9)</td>
<td align="right">1317 (24.1)</td>
<td align="right">0.004</td>
</tr>
<tr>
<td align="left">&#x2003;Corticosteroids for systemic use</td>
<td align="right">2452 (44.9)</td>
<td align="right">54749 (37.3)</td>
<td align="right">0.155</td>
<td align="right">2451 (44.8)</td>
<td align="right">2489 (45.5)</td>
<td align="right">0.014</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">&#x2003;Other anti-gout</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Colchicine</td>
<td align="right">1166 (21.3)</td>
<td align="right">20204 (13.8)</td>
<td align="right">0.200</td>
<td align="right">1165 (21.3)</td>
<td align="right">1173 (21.5)</td>
<td align="right">0.004</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Probenecid</td>
<td align="right">74 (01.4)</td>
<td align="right">568 (00.4)</td>
<td align="right">0.104</td>
<td align="right">73 (01.3)</td>
<td align="right">76 (01.4)</td>
<td align="right">0.005</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Pegloticase</td>
<td align="right">12 (00.2)</td>
<td align="right">34 (00.0)</td>
<td align="right">0.056</td>
<td align="right">12 (00.2)</td>
<td align="right">10 (00.2)</td>
<td align="right">0.008</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Lesinurad</td>
<td align="right">10 (00.2)</td>
<td align="right">16 (00.0)</td>
<td align="right">0.055</td>
<td align="right">10 (00.2)</td>
<td align="right">10 (00.2)</td>
<td align="right">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Sulfinpyrazone</td>
<td align="right">0 (00.0)</td>
<td align="right">0 (00.0)</td>
<td align="right">NA</td>
<td align="right">0 (00.0)</td>
<td align="right">0 (00.0)</td>
<td align="right">NA</td>
</tr>
<tr>
<td align="left">&#x2003;Diuretics</td>
<td align="right">2029 (37.1)</td>
<td align="right">53204 (36.2)</td>
<td align="right">0.019</td>
<td align="right">2028 (37.1)</td>
<td align="right">1942 (35.5)</td>
<td align="right">0.033</td>
</tr>
<tr>
<td align="left">&#x2003;Ethambutol</td>
<td align="right">0 (00.0)</td>
<td align="right">36 (00.0)</td>
<td align="right">0.022</td>
<td align="right">0 (00.0)</td>
<td align="right">10 (00.2)</td>
<td align="right">0.061</td>
</tr>
<tr>
<td align="left">&#x2003;Pyrazinamide</td>
<td align="right">0 (00.0)</td>
<td align="right">10 (00.0)</td>
<td align="right">0.012</td>
<td align="right">0 (00.0)</td>
<td align="right">0 (00.0)</td>
<td align="right">NA</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Laboratory, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Creatinine, &#x2265;1.5&#xa0;mg/dL</td>
<td align="right">1776 (32.5)</td>
<td align="right">32112 (21.9)</td>
<td align="right">0.241</td>
<td align="right">1775 (32.5)</td>
<td align="right">1680 (30.7)</td>
<td align="right">0.037</td>
</tr>
<tr>
<td align="left">&#x2003;C reactive protein, &#x2265;3.0&#xa0;mg/L</td>
<td align="right">500 (09.1)</td>
<td align="right">11118 (07.6)</td>
<td align="right">0.057</td>
<td align="right">500 (09.1)</td>
<td align="right">503 (09.2)</td>
<td align="right">0.002</td>
</tr>
<tr>
<td align="left">&#x2003;Body mass index, &#x2265;30&#xa0;kg/m<sup>2</sup>
</td>
<td align="right">1185 (21.7)</td>
<td align="right">31029 (21.1)</td>
<td align="right">0.014</td>
<td align="right">1185 (21.7)</td>
<td align="right">1140 (20.9)</td>
<td align="right">0.020</td>
</tr>
<tr>
<td align="left">&#x2003;Urate, &#x2265;10&#xa0;mg/dL</td>
<td align="right">421 (07.7)</td>
<td align="right">6751 (04.6)</td>
<td align="right">0.130</td>
<td align="right">421 (07.7)</td>
<td align="right">401 (07.3)</td>
<td align="right">0.014</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Propensity score matching was performed on all listed characteristics.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>CPT, code 91300.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>c</sup>
</label>
<p>CPT, code 91301.</p>
</fn>
<fn id="Tfn4">
<label>
<sup>d</sup>
</label>
<p>CPT, code 91303.</p>
</fn>
<fn>
<p>Bold font represents a standardized mean difference &#x3e;0.1.</p>
</fn>
<fn>
<p>If the patient is less or equal to 10, results show the count as 10.</p>
</fn>
<fn>
<p>SD, standard deviation; Std diff., standardized mean difference; COVID-19, Coronavirus Disease-2019; BNT, BioNTech; NSAIDs, Anti-inflammatory and anti-rheumatic products, non-steroids; NA, not applicable.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Incidence of COVID-19 and medical utilization in the two groups</title>
<p>The risks of COVID-19 incidence and medical utilization in the Febuxostat and Allopurinol groups were assessed (<xref ref-type="table" rid="T2">Table 2</xref>). The HR for COVID-19 infection comparing febuxostat vs. allopurinol was 0.878 (95% CI 0.801&#x2013;0.963), with an E-value of 1.54 for the point estimate and 1.24 for the upper CI limit. Compared to Allopurinol group, Febuxostat significantly reduced the risk of COVID-19 incidence (HR &#x3d; 0.878 [0.801&#x2013;0.963]) and hospitalization (HR &#x3d; 0.874 [0.772&#x2013;0.989]). The Kaplan-Meier curve of incidence of the COVID-19 outcomes also indicated a difference of probability between the two groups in <xref ref-type="fig" rid="F2">Figure 2</xref> (Log&#x2013;rank test, <italic>P</italic> &#x3d; 0.005). Even adjusted different variables, we got similar results (<xref ref-type="sec" rid="s13">Supplementary Table S2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Risk of outcomes between Febuxostat group and Allopurinol group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Outcomes</th>
<th colspan="2" align="center">Patients with outcome</th>
<th rowspan="2" align="center">Adjusted<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref> hazard ratio (95% CI)</th>
<th rowspan="2" align="center">E-value for point estimate (E-value for the CI)</th>
</tr>
<tr>
<th align="center">Febuxostat cohort (n &#x3d; 5466)</th>
<th align="center">Allopurinol cohort (n &#x3d; 5466)</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Disease incidence</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;COVID-19 incidence</td>
<td align="center">850</td>
<td align="center">978</td>
<td align="center">
<bold>0.878 (0.801&#x2013;0.963)</bold>
</td>
<td align="center">1.54 (1.24)</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Medical utilization</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Hospitalization</td>
<td align="center">468</td>
<td align="center">532</td>
<td align="center">
<bold>0.874 (0.772&#x2013;0.989)</bold>
</td>
<td align="center">1.55 (1.12)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Critical care service</td>
<td align="center">306</td>
<td align="center">351</td>
<td align="center">0.880 (0.755&#x2013;1.025)</td>
<td align="center">1.53 (1.00)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2003;Mechanical ventilation</td>
<td align="center">169</td>
<td align="center">178</td>
<td align="center">0.965 (0.782&#x2013;1.192)</td>
<td align="center">1.23 (1.00)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn5">
<label>
<sup>a</sup>
</label>
<p>Propensity score matching was performed on all listed characteristics.</p>
</fn>
<fn>
<p>&#x2a; Proportionality &#x3c;0.</p>
</fn>
<fn>
<p>CI, confidence interval; COVID-19, Coronavirus Disease-2019.</p>
</fn>
<fn>
<p>If the patient is less or equal to 10, results show the count as 10.</p>
</fn>
<fn>
<p>Bold values which presented the statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Kaplan-Meier curve of COVID-19 incidence. Bold font indicates statistical significance.</p>
</caption>
<graphic xlink:href="fphar-16-1654173-g002.tif">
<alt-text content-type="machine-generated">Kaplan-Meier curve depicting COVID-19 incidence. The x-axis shows days ranging from 0 to 1,095, and the y-axis shows survival probability from 0.00 to 1.00. Two cohorts are compared: Febuxostat (solid blue line) and Allopurinol (dotted pink line). Both cohorts show a gradual decline in survival probability over time. The Log-Rank test result is significant with a p-value of 0.005.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3">
<title>Subgroup analyses</title>
<p>The risks of CVDs in subgroups were evaluated based on sex, age, vaccination and serum uric acid ( &#x3c;10&#xa0;mg/dL or &#x2267;10&#xa0;mg/dL) (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Forest plot of COVID-19 incidence-subgroup analyses.</p>
</caption>
<graphic xlink:href="fphar-16-1654173-g003.tif">
<alt-text content-type="machine-generated">Forest plot comparing Febuxostat and Allopurinol cohorts across various categories: serum uric acid levels, vaccination status, sex, and age groups. Hazard ratios are indicated along the x-axis, with a vertical line at 1.0 representing no effect. Each category displays a blue square and whiskers denoting the point estimate and confidence intervals.</alt-text>
</graphic>
</fig>
<p>Hyperuricemia, defined as serum uric acid concentration of 6.8&#xa0;mg/dL or more, is described as a necessary condition for the development of gout. Gout patients with serum uric acid concentration of more than 10&#xa0;mg/dL are likely associated with many of the comorbidities. Thus, we conducted subgroup analysis based on serum uric acid level. Febuxostat significantly reduced hospitalization and critical care service among patients with serum uric acid &#x3c; 10&#xa0;mg/dL (HR &#x3d; 0.752 [0.582&#x2013;0.971]) (HR &#x3d; 0.710 [0.526&#x2013;0.959]) respectively (<xref ref-type="sec" rid="s13">Supplementary Table S3</xref>). Febuxostat could reduce the risks of COVID-19 incidence (HR &#x3d; 0.882 [0.787&#x2013;0.989] and hospitalization (HR &#x3d; 0.859[0.741&#x2013;0.997]) among patients without record of COVID-19 vaccination. It is interesting that Febuxostat could increase the risks of mechanical ventilation among the people vaccinated COVID-19 related vaccines before or up to 7&#xa0;days after the index date (HR &#x3d; 3.245 [1.045&#x2013;10.07]) (<xref ref-type="sec" rid="s13">Supplementary Table S4</xref>).</p>
<p>Male gout patients in the Febuxostat group exhibited a significant reduction in COVID-19 incidence (HR &#x3d; 0.881 [0.790&#x2013;0.983]), compared with those in the Allopurinol group (<xref ref-type="sec" rid="s13">Supplementary Table S5</xref>). The middle-aged (aged 45&#x2013;64&#xa0;years) (HR &#x3d; 0.761 [0.633&#x2013;0.914]) and elderly (aged &#x2265;65&#xa0;years) (HR &#x3d; 0.781 [0.669&#x2013;0.911]) subgroups in the Febuxostat group had a significant reduced risk of hospitalization of COVID-19 patients (<xref ref-type="sec" rid="s13">Supplementary Table S6</xref>).</p>
</sec>
<sec id="s3-4">
<title>Sensitivity analyses</title>
<p>Tophus formation is the cardinal feature of advanced gout (<xref ref-type="bibr" rid="B23">Narang and Dalbeth, 2020</xref>; <xref ref-type="bibr" rid="B10">Grubi&#x161;i&#x107; and Jordan, 2023</xref>). Renal impairment is one of the most common comorbidities of patients with gout (<xref ref-type="bibr" rid="B26">Singh and Gaffo, 2020</xref>). To evaluate the risks of outcomes regards to the severity and comorbidities, we performed sensitivity analyses of gout due to renal impairment or with tophus and with different follow up durations.</p>
<p>We found that Febuxostat markedly reduced the hospitalization (HR &#x3d; 0.652 [0.485&#x2013;0.877]) in gout patients due to renal impairment or with tophus (<xref ref-type="sec" rid="s13">Supplementary Table S7</xref>). Moreover, Febuxostat significantly reduced the risks of COVID-19 incidence in the follow-up duration of 7&#xa0;days to 2&#xa0;years (HR &#x3d; 0.865 [0.780&#x2013;0.958]) and 7&#xa0;days to 3&#xa0;years (HR &#x3d; 0.878 [0.801&#x2013;0.963]). Furthermore, Febuxostat reduced the risks of critical care service (HR &#x3d; 0.760 [0.580&#x2013;0.998]) in the follow-up of 7&#xa0;days&#x2013;180&#xa0;days and hospitalization (HR &#x3d; 0.874[0.772&#x2013;0.989]) in the follow-up of 7&#xa0;days to 3&#xa0;years (<xref ref-type="sec" rid="s13">Supplementary Table S8</xref>). To make the evidence robust, the competing risks of mortality were also evaluated. According to Allopurinol group, Febuxostat significantly reduced the risks of hospitalization (HR &#x3d; 0.889 [0.791&#x2013;0.998]) after dealing with the mortality competing risk (<xref ref-type="sec" rid="s13">Supplementary Table S9</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To the best of our knowledge, this is the first large-scale cohort study to demonstrate that Febuxostat decreases the risk of COVID-19 incidence in gout patients. The present study showed that Febuxostat could significantly reduce the risk of COVID-19 incidence and 3&#xa0;years follow-up. Furthermore, the consistent findings of significant lower risk of COVID-19 and hospitalization in gout patients were found across four different regression models. We also found that male gout patients in the Febuxostat group exhibited a significant reduction in COVID-19 incidence. In addition, Febuxostat significantly reduced hospitalization and critical care service among patients with serum uric acid &#x3c; 10&#xa0;mg/dL. Furthermore, Febuxostat significantly reduced the risk of COVID-19 incidence in the follow-up periods of 7&#xa0;days to 2&#xa0;years, and 7&#xa0;days to 3&#xa0;years. Moreover, Febuxostat could also reduce the hospitalization among COVID-19 infection in gout patients due to renal impairment or with tophus.</p>
<p>The findings from this study carry substantial clinical implications, particularly in the context of managing gout patients during the COVID-19 pandemic and potentially future viral outbreaks. Given that gout itself is a risk factor for both COVID-19 incidence and severe outcomes, the identification of a commonly used urate-lowering therapy that may also reduce viral infection risk offers a dual therapeutic benefit. Febuxostat&#x2019;s association with reduced COVID-19 incidence and hospitalization suggests that it may serve as a protective agent beyond its primary indication, especially in high-risk subgroups such as males, the elderly, and those with renal impairment or tophaceous gout.</p>
<p>During the development of gout, monosodium urate crystals are formed around the joints, due to elevated serum uric acid concentrations. As the age increases, men are more likely to suffer from gout than women (<xref ref-type="bibr" rid="B6">Dehlin et al., 2020</xref>; <xref ref-type="bibr" rid="B11">Han et al., 2024</xref>). In the present study Febuxostat significantly reduced the risks of COVID-19 incidence in male gouts and hospitalization among COVID-19 infection in elder patients (more than 45&#xa0;years old) compared to the Allopurinol group.</p>
<p>Compared with individuals with a baseline serum urate of &#x3c;6&#xa0;mg/dL, the risks of gout in those with a baseline serum urate of &#x2265;10&#xa0;mg/dL increased to 64 times (<xref ref-type="bibr" rid="B7">Evans et al., 2018</xref>). Gout patients with serum uric acid (SUA) concentration of more than 10&#xa0;mg/dL are likely associated with many of the comorbidities. A Retrospective Study demonstrated that Febuxostat showed efficacy and renal safety in male patients with gout and chronic kidney diseases. Moreover, gout patients with SUA &#x3c; 10&#xa0;mg/dL and body weight &#x3c;70&#xa0;kg reached more preferrable results (<xref ref-type="bibr" rid="B34">Zhang et al., 2022</xref>). In the present study, around 40% of the participants have comorbidities with acute kidney failure and chronic kidney disease. Febuxostat significantly reduced the risks of hospitalization and critical care service in gout patients among COVID-19 infection with SUA &#x3c;10&#xa0;mg/dL. Moreover, hospitalization was significantly reduced in gout patients due to renal impairment or with tophus.</p>
<p>COVID-19 vaccination has been demonstrated to be associated with increased odds of gout flare (<xref ref-type="bibr" rid="B21">Lu et al., 2022</xref>; <xref ref-type="bibr" rid="B15">He et al., 2024</xref>). Similar pathophysiological mechanism of crystal-induced arthritis and the inflammatory response of COVID-19 vaccination might make gout patients more susceptible to vaccine-induced flare than other rheumatic patients (<xref ref-type="bibr" rid="B27">Tai et al., 2022</xref>; <xref ref-type="bibr" rid="B25">Perozzo et al., 2022</xref>). For gout patients, MSU crystal and prolonged hyperuricemia could increase the inflammatory response to a secondary stimulus such as COVID-19 vaccine (<xref ref-type="bibr" rid="B3">Bodofsky et al., 2020</xref>). In the present study, Febuxostat could increase the risk of mechanical ventilation for gout patients with vaccination. In contrast, the risks of COVID-19 incidence and hospitalization were reduced in gout patients without vaccination in the Febuxostat group.</p>
<p>Cytokine storm including inflammatory cytokines IL-1&#x3b2;, IL-6, IL-17, and TNF-&#x3b1; could be provoked in moderate and severe COVID-19 patients (<xref ref-type="bibr" rid="B22">Montazersaheb et al., 2022</xref>). From a translational perspective, these results support the reconsideration of Febuxostat as a preferred urate-lowering therapy in gout patients with comorbidities that increase susceptibility to severe viral infections. This is particularly relevant given the drug&#x2019;s favorable safety profile in patients with renal impairment, a common comorbidity in gout populations. Moreover, the anti-inflammatory properties of Febuxostat, through inhibition of the JAK/STAT and NF-&#x3ba;B pathways and subsequent reduction in pro-inflammatory cytokines such as IL-1&#x3b2;, IL-6, and TNF-&#x3b1;, may underlie its protective effects against COVID-19-related hyperinflammation and organ damage (<xref ref-type="bibr" rid="B13">Hao et al., 2019</xref>; <xref ref-type="bibr" rid="B17">Khan et al., 2017</xref>; <xref ref-type="bibr" rid="B1">Abo-Youssef et al., 2020</xref>). This mechanistic insight not only reinforces the biological plausibility of our findings but also opens avenues for repurposing Febuxostat in other inflammatory or infectious conditions characterized by cytokine dysregulation.</p>
<p>To validate the robustness of our study and reduce the bias, we performed four models of Cox regressions, which all revealed that Febuxostat could reduce the risk of COVID-19 incidence and hospitalization of gout patients infected with COVID-19. Furthermore, after dealing with the mortality competing risk, the results consistent with the former ones.</p>
<p>However, our study has several limitations. First, even though treatment start time of Febuxostat was evaluated, Febuxostat and Allopurinol dose data could not be obtained from the database. We were unable to evaluate dose&#x2013;response or persistence/time on treatment because the data platform lacks standardized dosing and days-supply/refill information and does not support patient-level time-varying dose construction. As a result, unmeasured differences in titration or persistence between groups could remain and may have influenced effect estimates; findings should be interpreted with this limitation in mind. In addition, there were relatively few Asian people, American Indian or Alaska Native, or Native Hawaiian or Other Pacific Islander participants in our study, which could have caused results to be biased based on race. Collaborative electronic health records was unable to obtain healthcare insurance status during the COVID-19 pandemic, which could confound the results. Second, because index dates were distributed across 2020&#x2013;2022, many patients had index dates before vaccines became available, resulting in low observed vaccination rates. Additionally, vaccination administered outside of the network may not have been captured, potentially leading to misclassification. Furthermore, our composite outcome definition may have introduced misclassification, as some non-COVID pneumonia cases could have been included, and some infections may have been missed if patients did not seek care or were tested outside the network. Such misclassification is likely non-differential, which would bias effect estimates toward the null. PSM was performed to minimize bias, but misclassification bias and residual confounding could not be completely eliminated due to some disadvantages of an electronic health record database. Moreover, the dataset is not a population-based dataset. Therefore, patients may receive medical treatment at hospitals outside of the collaborative electronic health records platform, resulting in a loss to follow up. Third, a potential limitation of this study is that exposure index dates spanned multiple pandemic waves with evolving testing availability, treatment approaches, and circulating variants. Although the index date distributions overlapped across treatment groups, residual calendar-time confounding cannot be completely excluded. Besides, although we attempted to minimize immortal-time bias by applying a day-7 landmark after the index date and excluding patients who switched between febuxostat and allopurinol during follow-up, residual immortal-time bias cannot be completely ruled out. Readers should interpret the observed associations with caution, recognizing the possibility that any remaining immortal-time bias may have attenuated or inflated the observed effect estimates. Fourth, some combined treatments such as NSAIDs, corticosteroids, and other anti-gout drugs such as colchicine may have effects on the COVID-19 risk of gout patients and some drugs may have complex drug-drug interactions with Febuxostat or Allopurinol. Fifth, we reported exploratory subgroup results for SUA, vaccination record, sex, and age. Because interaction tests were approximated from subgroup HRs rather than estimated within a single model, and no multiplicity control could be implemented, type-I error may be inflated and interaction findings should be interpreted cautiously. Notably, point estimates were directionally consistent (febuxostat associated with lower COVID-19 risk) in SUA &#x3e;10&#xa0;mg/dL, vaccinated, female, and &#x2265;65-year strata. Finally, despite propensity score adjustment, residual confounding by indication may persist because febuxostat is often selected for patients with allopurinol intolerance/contraindications or chronic kidney disease, and we could not fully capture gout severity (e.g., tophi, flare frequency, serum urate trajectories), provider preference, or access to care. The primary estimate for COVID-19 infection (HR &#x3d; 0.878; 95% CI, 0.801&#x2013;0.963) corresponds to E-values of 1.54 for the point estimate and 1.24 for the upper CI bound, indicating that an unmeasured confounder associated with both treatment assignment and infection risk by a risk ratio of &#x2265;1.54 could fully explain the observed association, whereas a confounder with associations of &#x223c;1.24 could render the result non-significant. Accordingly, our findings should be interpreted with caution in light of potential residual bias.</p>
<p>Future research should include randomized controlled trials to confirm these observational findings and elucidate the optimal dosing and timing of Febuxostat administration relative to vaccination and infection exposure. Additionally, studies exploring the effect of Febuxostat on other respiratory viruses or post-acute sequelae of COVID-19 could further expand its clinical utility.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Taken together, in this retrospective cohort study, Febuxostat was associated with lower risks of COVID-19 incidence in gout patients.</p>
</sec>
</body>
<back>
<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="sec" rid="s13">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the use of collaborative electronic health records for the present study was approved by the Chung Shan Medical University Institutional Review Board, number CS2-21105. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>WW: Writing &#x2013; original draft, Writing &#x2013; review and editing, Conceptualization. S-IW: Writing &#x2013; original draft, Formal Analysis, Data curation. YC: Data curation, Software, Writing &#x2013; review and editing. XW: Supervision, Writing &#x2013; review and editing. YF: Resources, Project administration, Writing &#x2013; review and editing. J-CW: Visualization, Resources, Writing &#x2013; review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by Natural Science Foundation of Hangzhou (No. 2024SZRYBH280002), the Research Project of Zhejiang Chinese Medical University (No. 2023FSYYZZ07) and Chung Shan Medical University Hospital (No. CSH-2022-A-001).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<title>Publisher&#x2019;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>
<sec sec-type="supplementary-material" id="s13">
<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/fphar.2025.1654173/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2025.1654173/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Abo-Youssef</surname>
<given-names>A. M.</given-names>
</name>
<name>
<surname>Afify</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Azouz</surname>
<given-names>A. A.</given-names>
</name>
<name>
<surname>Abdel-Rahman</surname>
<given-names>H. M.</given-names>
</name>
<name>
<surname>Abdel-Naim</surname>
<given-names>A. B.</given-names>
</name>
<name>
<surname>Allam</surname>
<given-names>S.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Febuxostat attenuates testosterone-induced benign prostatic hyperplasia in rats via inhibiting JAK/STAT axis</article-title>. <source>Life Sci.</source> <volume>260</volume>, <fpage>118414</fpage>. <pub-id pub-id-type="doi">10.1016/j.lfs.2020.118414</pub-id>
<pub-id pub-id-type="pmid">32926929</pub-id>
</citation>
</ref>
<ref id="B2">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Austhof</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Bell</surname>
<given-names>M. L.</given-names>
</name>
<name>
<surname>Riddle</surname>
<given-names>M. S.</given-names>
</name>
<name>
<surname>Catalfamo</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>McFadden</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Cooper</surname>
<given-names>K.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Persisting gastrointestinal symptoms and post-infectious irritable bowel syndrome following SARS-CoV-2 infection: results from the Arizona CoVHORT</article-title>. <source>Epidemiol. Infect.</source> <volume>150</volume>, <fpage>e136</fpage>. <pub-id pub-id-type="doi">10.1017/s0950268822001200</pub-id>
<pub-id pub-id-type="pmid">35801302</pub-id>
</citation>
</ref>
<ref id="B3">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bodofsky</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Merriman</surname>
<given-names>T. R.</given-names>
</name>
<name>
<surname>Thomas</surname>
<given-names>T. J.</given-names>
</name>
<name>
<surname>Schlesinger</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Advances in our understanding of gout as an auto-inflammatory disease</article-title>. <source>Semin. Arthritis Rheum.</source> <volume>50</volume>, <fpage>1089</fpage>&#x2013;<lpage>1100</lpage>. <pub-id pub-id-type="doi">10.1016/j.semarthrit.2020.06.015</pub-id>
<pub-id pub-id-type="pmid">32916560</pub-id>
</citation>
</ref>
<ref id="B4">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>Gu</surname>
<given-names>H. Q.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Lio</surname>
<given-names>J.</given-names>
</name>
<etal/>
</person-group> (<year>2021</year>). <article-title>Serum uric acid concentrations and risk of adverse outcomes in patients with COVID-19</article-title>. <source>Front. Endocrinol. (Lausanne)</source> <volume>12</volume>, <fpage>633767</fpage>. <pub-id pub-id-type="doi">10.3389/fendo.2021.633767</pub-id>
<pub-id pub-id-type="pmid">34025575</pub-id>
</citation>
</ref>
<ref id="B5">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cheng</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Luo</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Zhang</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Dong</surname>
<given-names>L.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>Kidney disease is associated with in-hospital death of patients with COVID-19</article-title>. <source>Kidney Int.</source> <volume>97</volume>, <fpage>829</fpage>&#x2013;<lpage>838</lpage>. <pub-id pub-id-type="doi">10.1016/j.kint.2020.03.005</pub-id>
<pub-id pub-id-type="pmid">32247631</pub-id>
</citation>
</ref>
<ref id="B6">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dehlin</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Jacobsson</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Roddy</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Global epidemiology of gout: prevalence, incidence, treatment patterns and risk factors</article-title>. <source>Nat. Rev. Rheumatol.</source> <volume>16</volume>, <fpage>380</fpage>&#x2013;<lpage>390</lpage>. <pub-id pub-id-type="doi">10.1038/s41584-020-0441-1</pub-id>
<pub-id pub-id-type="pmid">32541923</pub-id>
</citation>
</ref>
<ref id="B7">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Evans</surname>
<given-names>P. L.</given-names>
</name>
<name>
<surname>Prior</surname>
<given-names>J. A.</given-names>
</name>
<name>
<surname>Belcher</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Mallen</surname>
<given-names>C. D.</given-names>
</name>
<name>
<surname>Hay</surname>
<given-names>C. A.</given-names>
</name>
<name>
<surname>Roddy</surname>
<given-names>E.</given-names>
</name>
</person-group> (<year>2018</year>). <article-title>Obesity, hypertension and diuretic use as risk factors for incident gout: a systematic review and meta-analysis of cohort studies</article-title>. <source>Arthritis Res. Ther.</source> <volume>20</volume>, <fpage>136</fpage>. <pub-id pub-id-type="doi">10.1186/s13075-018-1612-1</pub-id>
<pub-id pub-id-type="pmid">29976236</pub-id>
</citation>
</ref>
<ref id="B8">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gao</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Pan</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Cheng</surname>
<given-names>R.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>Cardiovascular safety of febuxostat compared to allopurinol for the treatment of gout: a systematic and meta-analysis</article-title>. <source>Clin. Cardiol.</source> <volume>44</volume>, <fpage>907</fpage>&#x2013;<lpage>916</lpage>. <pub-id pub-id-type="doi">10.1002/clc.23643</pub-id>
<pub-id pub-id-type="pmid">34013998</pub-id>
</citation>
</ref>
<ref id="B9">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garc&#xed;a-Maturano</surname>
<given-names>J. S.</given-names>
</name>
<name>
<surname>Torres-Ordaz</surname>
<given-names>D. E.</given-names>
</name>
<name>
<surname>Mosqueda-Guti&#xe9;rrez</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>G&#xf3;mez-Ruiz</surname>
<given-names>C.</given-names>
</name>
<name>
<surname>V&#xe1;zquez-Mellado</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Tafoya-Amado</surname>
<given-names>A.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Gout during the SARS-CoV-2 pandemic: increased flares, urate levels and functional improvement</article-title>. <source>Clin. Rheumatol.</source> <volume>41</volume>, <fpage>811</fpage>&#x2013;<lpage>818</lpage>. <pub-id pub-id-type="doi">10.1007/s10067-021-05994-z</pub-id>
<pub-id pub-id-type="pmid">34822044</pub-id>
</citation>
</ref>
<ref id="B10">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grubi&#x161;i&#x107;</surname>
<given-names>F.</given-names>
</name>
<name>
<surname>Jordan</surname>
<given-names>K.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Are interventions for treatment of tophi in gout efficient? - a Cochrane Review summary with commentary</article-title>. <source>Int. J. Rheum. Dis.</source> <volume>26</volume>, <fpage>1384</fpage>&#x2013;<lpage>1387</lpage>. <pub-id pub-id-type="doi">10.1111/1756-185x.14648</pub-id>
<pub-id pub-id-type="pmid">36891663</pub-id>
</citation>
</ref>
<ref id="B11">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Qiu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>W.</given-names>
</name>
</person-group> (<year>2024</year>). <article-title>Epidemiology of gout - global burden of disease research from 1990 to 2019 and future trend predictions</article-title>. <source>Ther. Adv. Endocrinol. Metab.</source> <volume>15</volume>, <fpage>20420188241227295</fpage>. <pub-id pub-id-type="doi">10.1177/20420188241227295</pub-id>
<pub-id pub-id-type="pmid">38439915</pub-id>
</citation>
</ref>
<ref id="B12">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hanai</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Yoshizawa</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Matsuo</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Uekusa</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Miyazaki</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Nishimura</surname>
<given-names>K.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Evaluation of risk factors for uric acid elevation in COVID-19 patients treated with favipiravir</article-title>. <source>Diagn Microbiol. Infect. Dis.</source> <volume>102</volume>, <fpage>115640</fpage>. <pub-id pub-id-type="doi">10.1016/j.diagmicrobio.2022.115640</pub-id>
<pub-id pub-id-type="pmid">35193798</pub-id>
</citation>
</ref>
<ref id="B13">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hao</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Duan</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Peng</surname>
<given-names>B.</given-names>
</name>
</person-group> (<year>2019</year>). <article-title>Effects of febuxostat on serum cytokines IL-1, IL-4, IL-6, IL-8, TNF-&#x3b1; and COX-2</article-title>. <source>Exp. Ther. Med.</source> <volume>17</volume>, <fpage>812</fpage>&#x2013;<lpage>816</lpage>. <pub-id pub-id-type="doi">10.3892/etm.2018.6972</pub-id>
<pub-id pub-id-type="pmid">30651867</pub-id>
</citation>
</ref>
<ref id="B14">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Zhao</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Tian</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>The metabolic changes and immune profiles in patients with COVID-19</article-title>. <source>Front. Immunol.</source> <volume>11</volume>, <fpage>2075</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2020.02075</pub-id>
<pub-id pub-id-type="pmid">32983157</pub-id>
</citation>
</ref>
<ref id="B15">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Xue</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Dalbeth</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Terkeltaub</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Yan</surname>
<given-names>F.</given-names>
</name>
<etal/>
</person-group> (<year>2024</year>). <article-title>COVID-19 vaccination and gout flare risk in patients with infrequent or frequent flares: a prospective cohort study</article-title>. <source>Arthritis Care Res. Hob.</source> <volume>76</volume>, <fpage>131</fpage>&#x2013;<lpage>139</lpage>. <pub-id pub-id-type="doi">10.1002/acr.25215</pub-id>
<pub-id pub-id-type="pmid">37553607</pub-id>
</citation>
</ref>
<ref id="B16">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jatuworapruk</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Satpanich</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Robinson</surname>
<given-names>P. C.</given-names>
</name>
<name>
<surname>Grainger</surname>
<given-names>R.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Prevalence, risk factors, and outcomes of gout flare in patients hospitalized for PCR-confirmed COVID-19: a multicenter retrospective cohort study</article-title>. <source>J. Rheumatol.</source> <volume>50</volume>, <fpage>556</fpage>&#x2013;<lpage>563</lpage>. <pub-id pub-id-type="doi">10.3899/jrheum.220762</pub-id>
<pub-id pub-id-type="pmid">36379566</pub-id>
</citation>
</ref>
<ref id="B17">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khan</surname>
<given-names>S. I.</given-names>
</name>
<name>
<surname>Malhotra</surname>
<given-names>R. K.</given-names>
</name>
<name>
<surname>Rani</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Sahu</surname>
<given-names>A. K.</given-names>
</name>
<name>
<surname>Tomar</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Garg</surname>
<given-names>S.</given-names>
</name>
<etal/>
</person-group> (<year>2017</year>). <article-title>Febuxostat modulates MAPK/NF-&#x3ba;Bp65/TNF-&#x3b1; signaling in cardiac ischemia-reperfusion injury</article-title>. <source>Oxid. Med. Cell Longev.</source> <volume>2017</volume>, <fpage>8095825</fpage>. <pub-id pub-id-type="doi">10.1155/2017/8095825</pub-id>
<pub-id pub-id-type="pmid">29138678</pub-id>
</citation>
</ref>
<ref id="B18">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Konishi</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Kojima</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Uchiyama</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Yokota</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Tokutake</surname>
<given-names>E.</given-names>
</name>
<name>
<surname>Wakasa</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Effect of febuxostat on clinical outcomes in patients with hyperuricemia and cardiovascular disease</article-title>. <source>Int. J. Cardiol.</source> <volume>349</volume>, <fpage>127</fpage>&#x2013;<lpage>133</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijcard.2021.11.076</pub-id>
<pub-id pub-id-type="pmid">34864084</pub-id>
</citation>
</ref>
<ref id="B19">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Koseki</surname>
<given-names>T.</given-names>
</name>
<name>
<surname>Nakajima</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Iwasaki</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Yamada</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Takahashi</surname>
<given-names>K.</given-names>
</name>
<name>
<surname>Doi</surname>
<given-names>Y.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Baseline uric acid levels and steady-state favipiravir concentrations are associated with occurrence of hyperuricemia among COVID-19 patients</article-title>. <source>Int. J. Infect. Dis.</source> <volume>115</volume>, <fpage>218</fpage>&#x2013;<lpage>223</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijid.2021.12.324</pub-id>
<pub-id pub-id-type="pmid">34910957</pub-id>
</citation>
</ref>
<ref id="B20">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lin</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Fu</surname>
<given-names>B.</given-names>
</name>
<name>
<surname>Xiong</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Xing</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Xue</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Guo</surname>
<given-names>D.</given-names>
</name>
<etal/>
</person-group> (<year>2023</year>). <article-title>Unconventional secretion of unglycosylated ORF8 is critical for the cytokine storm during SARS-CoV-2 infection</article-title>. <source>PLoS Pathog.</source> <volume>19</volume>, <fpage>e1011128</fpage>. <pub-id pub-id-type="doi">10.1371/journal.ppat.1011128</pub-id>
<pub-id pub-id-type="pmid">36689483</pub-id>
</citation>
</ref>
<ref id="B21">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lu</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>He</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Terkeltaub</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Sun</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Ran</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Xu</surname>
<given-names>X.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Colchicine prophylaxis is associated with fewer gout flares after COVID-19 vaccination</article-title>. <source>Ann. Rheum. Dis.</source> <volume>81</volume>, <fpage>1189</fpage>&#x2013;<lpage>1193</lpage>. <pub-id pub-id-type="doi">10.1136/annrheumdis-2022-222199</pub-id>
<pub-id pub-id-type="pmid">35277390</pub-id>
</citation>
</ref>
<ref id="B22">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Montazersaheb</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Hosseiniyan Khatibi</surname>
<given-names>S. M.</given-names>
</name>
<name>
<surname>Hejazi</surname>
<given-names>M. S.</given-names>
</name>
<name>
<surname>Tarhriz</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Farjami</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Ghasemian Sorbeni</surname>
<given-names>F.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>COVID-19 infection: an overview on cytokine storm and related interventions</article-title>. <source>Virol. J.</source> <volume>19</volume>, <fpage>92</fpage>. <pub-id pub-id-type="doi">10.1186/s12985-022-01814-1</pub-id>
<pub-id pub-id-type="pmid">35619180</pub-id>
</citation>
</ref>
<ref id="B23">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Narang</surname>
<given-names>R. K.</given-names>
</name>
<name>
<surname>Dalbeth</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Pathophysiology of gout</article-title>. <source>Semin. Nephrol.</source> <volume>40</volume>, <fpage>550</fpage>&#x2013;<lpage>563</lpage>. <pub-id pub-id-type="doi">10.1016/j.semnephrol.2020.12.001</pub-id>
<pub-id pub-id-type="pmid">33678310</pub-id>
</citation>
</ref>
<ref id="B24">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pasrija</surname>
<given-names>R.</given-names>
</name>
<name>
<surname>Naime</surname>
<given-names>M.</given-names>
</name>
</person-group> (<year>2021</year>). <article-title>The deregulated immune reaction and cytokines release storm (CRS) in COVID-19 disease</article-title>. <source>Int. Immunopharmacol.</source> <volume>90</volume>, <fpage>107225</fpage>. <pub-id pub-id-type="doi">10.1016/j.intimp.2020.107225</pub-id>
<pub-id pub-id-type="pmid">33302033</pub-id>
</citation>
</ref>
<ref id="B25">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Perozzo</surname>
<given-names>F. A. G.</given-names>
</name>
<name>
<surname>Punzi</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Costa</surname>
<given-names>A. L.</given-names>
</name>
<name>
<surname>Bassetto</surname>
<given-names>F.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Acute calcium pyrophosphate crystal arthritis of the wrist elicited by anti-COVID-19 vaccination after carpal tunnel release</article-title>. <source>Am. J. Case Rep.</source> <volume>23</volume>, <fpage>e934833</fpage>. <pub-id pub-id-type="doi">10.12659/ajcr.934833</pub-id>
<pub-id pub-id-type="pmid">35277470</pub-id>
</citation>
</ref>
<ref id="B26">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Singh</surname>
<given-names>J. A.</given-names>
</name>
<name>
<surname>Gaffo</surname>
<given-names>A.</given-names>
</name>
</person-group> (<year>2020</year>). <article-title>Gout epidemiology and comorbidities</article-title>. <source>Semin. Arthritis Rheum.</source> <volume>50</volume>, <fpage>S11-S16</fpage>&#x2013;<lpage>s16</lpage>. <pub-id pub-id-type="doi">10.1016/j.semarthrit.2020.04.008</pub-id>
<pub-id pub-id-type="pmid">32620196</pub-id>
</citation>
</ref>
<ref id="B27">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tai</surname>
<given-names>V.</given-names>
</name>
<name>
<surname>Robinson</surname>
<given-names>P. C.</given-names>
</name>
<name>
<surname>Dalbeth</surname>
<given-names>N.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Gout and the COVID-19 pandemic</article-title>. <source>Curr. Opin. Rheumatol.</source> <volume>34</volume>, <fpage>111</fpage>&#x2013;<lpage>117</lpage>. <pub-id pub-id-type="doi">10.1097/bor.0000000000000860</pub-id>
<pub-id pub-id-type="pmid">34907115</pub-id>
</citation>
</ref>
<ref id="B28">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Topless</surname>
<given-names>R. K.</given-names>
</name>
<name>
<surname>Gaffo</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Stamp</surname>
<given-names>L. K.</given-names>
</name>
<name>
<surname>Robinson</surname>
<given-names>P. C.</given-names>
</name>
<name>
<surname>Dalbeth</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Merriman</surname>
<given-names>T. R.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Gout and the risk of COVID-19 diagnosis and death in the UK Biobank: a population-based study</article-title>. <source>Lancet Rheumatol.</source> <volume>4</volume>, <fpage>e274</fpage>&#x2013;<lpage>e281</lpage>. <pub-id pub-id-type="doi">10.1016/s2665-9913(21)00401-x</pub-id>
<pub-id pub-id-type="pmid">35128470</pub-id>
</citation>
</ref>
<ref id="B29">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tsai</surname>
<given-names>P. H.</given-names>
</name>
<name>
<surname>Kuo</surname>
<given-names>C. F.</given-names>
</name>
<name>
<surname>Liu</surname>
<given-names>J. R.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>P. R.</given-names>
</name>
<name>
<surname>See</surname>
<given-names>L. C.</given-names>
</name>
</person-group> (<year>2023</year>). <article-title>Effect of febuxostat on adverse events and mortality in gout in Taiwan: an interrupted time series analysis</article-title>. <source>Int. J. Rheum. Dis.</source> <volume>26</volume>, <fpage>471</fpage>&#x2013;<lpage>479</lpage>. <pub-id pub-id-type="doi">10.1111/1756-185x.14558</pub-id>
<pub-id pub-id-type="pmid">36608705</pub-id>
</citation>
</ref>
<ref id="B35">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>1905</year>). <article-title>Estimating excess mortality due to the COVID-19 pandemic: a systematic analysis of COVID-19-related mortality, 2020&#x2013;21</article-title>.<source>The Lancet</source>
<volume>399</volume> (<issue>10334</issue>), <fpage>1513</fpage>&#x2013;<lpage>1536</lpage>. <pub-id pub-id-type="doi">10.1016/s0140-6736(21)02796-3</pub-id>
<pub-id pub-id-type="pmid">35279232</pub-id>
</citation>
</ref>
<ref id="B30">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname>
<given-names>W.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>C. Y.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>S. I.</given-names>
</name>
<name>
<surname>Wei</surname>
<given-names>J. C.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Long-term cardiovascular outcomes in COVID-19 survivors among non-vaccinated population: a retrospective cohort study from the TriNetX US collaborative networks</article-title>. <source>EClinicalMedicine</source> <volume>53</volume>, <fpage>101619</fpage>. <pub-id pub-id-type="doi">10.1016/j.eclinm.2022.101619</pub-id>
<pub-id pub-id-type="pmid">35971425</pub-id>
</citation>
</ref>
<ref id="B31">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Werion</surname>
<given-names>A.</given-names>
</name>
<name>
<surname>Belkhir</surname>
<given-names>L.</given-names>
</name>
<name>
<surname>Perrot</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Schmit</surname>
<given-names>G.</given-names>
</name>
<name>
<surname>Aydin</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>Z.</given-names>
</name>
<etal/>
</person-group> (<year>2020</year>). <article-title>SARS-CoV-2 causes a specific dysfunction of the kidney proximal tubule</article-title>. <source>Kidney Int.</source> <volume>98</volume>, <fpage>1296</fpage>&#x2013;<lpage>1307</lpage>. <pub-id pub-id-type="doi">10.1016/j.kint.2020.07.019</pub-id>
<pub-id pub-id-type="pmid">32791255</pub-id>
</citation>
</ref>
<ref id="B32">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname>
<given-names>H.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Ren</surname>
<given-names>Z.</given-names>
</name>
<name>
<surname>Li</surname>
<given-names>Y.</given-names>
</name>
<name>
<surname>Huang</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Lin</surname>
<given-names>Z.</given-names>
</name>
<etal/>
</person-group> (<year>2022</year>). <article-title>Overnutrition-induced gout: an immune response to NLRP3 inflammasome dysregulation by XOD activity increased in quail</article-title>. <source>Front. Immunol.</source> <volume>13</volume>, <fpage>1074867</fpage>. <pub-id pub-id-type="doi">10.3389/fimmu.2022.1074867</pub-id>
<pub-id pub-id-type="pmid">36569836</pub-id>
</citation>
</ref>
<ref id="B33">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Xie</surname>
<given-names>D.</given-names>
</name>
<name>
<surname>Choi</surname>
<given-names>H. K.</given-names>
</name>
<name>
<surname>Dalbeth</surname>
<given-names>N.</given-names>
</name>
<name>
<surname>Wallace</surname>
<given-names>Z. S.</given-names>
</name>
<name>
<surname>Sparks</surname>
<given-names>J. A.</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>N.</given-names>
</name>
<etal/>
</person-group> (<year>2023</year>). <article-title>Gout and excess risk of severe SARS-CoV-2 infection among vaccinated individuals: a general population study</article-title>. <source>Arthritis Rheumatol.</source> <volume>75</volume>, <fpage>122</fpage>&#x2013;<lpage>132</lpage>. <pub-id pub-id-type="doi">10.1002/art.42339</pub-id>
<pub-id pub-id-type="pmid">36082457</pub-id>
</citation>
</ref>
<ref id="B34">
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname>
<given-names>P.</given-names>
</name>
<name>
<surname>Chen</surname>
<given-names>M.</given-names>
</name>
<name>
<surname>Wang</surname>
<given-names>J.</given-names>
</name>
<name>
<surname>Hu</surname>
<given-names>S.</given-names>
</name>
<name>
<surname>Lu</surname>
<given-names>X.</given-names>
</name>
<name>
<surname>Wu</surname>
<given-names>H.</given-names>
</name>
</person-group> (<year>2022</year>). <article-title>Febuxostat therapy for patients with gout and stage 2-4 CKD: a retrospective study</article-title>. <source>Rheumatol. Ther.</source> <volume>9</volume>, <fpage>1421</fpage>&#x2013;<lpage>1434</lpage>. <pub-id pub-id-type="doi">10.1007/s40744-022-00480-7</pub-id>
<pub-id pub-id-type="pmid">36057763</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>