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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id><journal-title-group>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title></journal-title-group>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2026.1626969</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Perioperative management of colorectal surgical patients receiving a direct oral anticoagulant: a scoping review, particular emphasis on procedure-specific risks, and pharmacogenomics</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Mao</surname><given-names>Jieling</given-names></name>
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<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes"><name><surname>Qin</surname><given-names>Li</given-names></name>
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<contrib contrib-type="author"><name><surname>Gao</surname><given-names>Min</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author"><name><surname>Xie</surname><given-names>Jingwen</given-names></name>
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<contrib contrib-type="author" corresp="yes"><name><surname>Li</surname><given-names>Xiaoyan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author" corresp="yes"><name><surname>Liang</surname><given-names>Zhikun</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Pharmacy</institution>, <institution>The Sixth Affiliated Hospital, Sun Yat-Sen University</institution>, <city>Guangzhou</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>School of Pharmaceutical Science, Sun Yat-Sen University</institution>, <city>Guangzhou</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-Sen University</institution>, <city>Guangzhou</city>, <country country="cn">China</country></aff>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Xiaoyan Li <email xlink:href="mailto:lixyan5@mail.sysu.edu.cn">lixyan5@mail.sysu.edu.cn</email> Zhikun Liang <email xlink:href="mailto:liangzhk9@mail.sysu.edu.cn">liangzhk9@mail.sysu.edu.cn</email></corresp>
<fn fn-type="equal" id="an1"><label>&#x2020;</label><p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-26"><day>26</day><month>02</month><year>2026</year></pub-date>
<pub-date publication-format="electronic" date-type="collection"><year>2026</year></pub-date>
<volume>13</volume><elocation-id>1626969</elocation-id>
<history>
<date date-type="received"><day>12</day><month>05</month><year>2025</year></date>
<date date-type="rev-recd"><day>09</day><month>02</month><year>2026</year></date>
<date date-type="accepted"><day>10</day><month>02</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026 Mao, Qin, Gao, Xie, Li and Liang.</copyright-statement>
<copyright-year>2026</copyright-year><copyright-holder>Mao, Qin, Gao, Xie, Li and Liang</copyright-holder><license><ali:license_ref start_date="2026-02-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p></license>
</permissions>
<abstract>
<p>Perioperative management of patients on direct oral anticoagulants (DOACs) for preoperative deep vein thrombosis (DVT), pulmonary embolism (PE), or atrial fibrillation (AF), who subsequently undergo elective colorectal surgery, is a frequent clinical scenario with no clear consensus on best practices. Further complicating this issue, venous thromboembolism (VTE) and bleeding rates vary widely, ranging from 4.8&#x0025; to 12.6&#x0025; for VTE and 1.1&#x0025; to 2.4&#x0025; for bleeding, across different procedures (e.g., abdominoperineal resection, anterior resection, rectopexy, colectomy, and total proctocolectomy), as well as between countries, centers and individual surgeons. Therefore, it is necessary for surgeons to identify strategies to optimize when and how to discontinue and resume anticoagulation. Over the past decade, substantial interpatient variability in DOAC plasma levels has been observed, potentially explaining the frequent incidence of clinically relevant nonmajor bleeding (e.g., anastomotic bleeding and hematochezia) and breakthrough VTE in colorectal surgical patients. Given that pharmacokinetic factors, including genetic variations in metabolizing enzymes and efflux transporters as well as drug plasma levels measured by anti-factor Xa (FXa) activity, are associated with both the efficacy and adverse effects of anticoagulants, genotyping and anti-FXa monitoring could play a valuable role in optimizing perioperative DOAC management or enabling personalized dose adjustments. This scoping review summarizes the current evidence and proposes an integrated, personalized approach for perioperative DOAC management in colorectal surgery, with particular emphasis on procedure-specific risks, pharmacogenomics, and individualized risk prediction.</p>
</abstract>
<kwd-group>
<kwd>bleeding</kwd>
<kwd>colorectal surgery</kwd>
<kwd>direct oral anticoagulants</kwd>
<kwd>pharmacodynamic</kwd>
<kwd>pharmacokinetic</kwd>
<kwd>venous thromboembolism</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This study was supported by the Sixth Affiliated Hospital of Sun Yat-sen University Clinical Research-&#x2018;1010&#x2019; Program (Grant Number: 1010PY2024-01), Health Economics Association of Guangdong Province (Grant Number: 2025-WHJX-23), Guangdong Provincial Hospital Pharmacy Research Fund (Grant Number: 2025A02019).</funding-statement></funding-group><counts>
<fig-count count="1"/>
<table-count count="3"/><equation-count count="0"/><ref-count count="123"/><page-count count="15"/><word-count count="0"/></counts><custom-meta-group><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Thrombosis and Haemostasis</meta-value></custom-meta></custom-meta-group>
</article-meta>
</front>
<body><sec id="s2" sec-type="intro"><title>Introduction</title>
<p>Colorectal surgery is one of the most common operations worldwide. It is estimated that annually, 15&#x0025;&#x2013;20&#x0025; of patients on chronic anticoagulation require elective colorectal surgery or procedures, presenting a common clinical dilemma in managing perioperative anticoagulation (<xref ref-type="bibr" rid="B1">1</xref>). Anticoagulation can be a double-edged sword as it increases the risk of bleeding, particularly in colorectal surgical patients. Decisions regarding the interruption, bridging, and resumption of anticoagulants during the perioperative period need to be individualized. However, venous thromboembolism (VTE) occurs in up to 12.6&#x0025; of patients undergoing colorectal surgery (<xref ref-type="bibr" rid="B2">2</xref>), and bleeding rates vary widely across different procedures, further complicating use of anticoagulation in this population (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Although direct oral anticoagulants (DOACs) have predictable pharmacokinetics (PK) and pharmacodynamics (PD), allowing fixed dosing without routine coagulation monitoring, recent reports highlight significant interindividual variability in plasma levels and drug responses, which may increase the risk of bleeding or thromboembolism (<xref ref-type="bibr" rid="B4">4</xref>). Given that PK factors, including genetic variations in metabolizing enzymes and efflux transporters as well as drug plasma levels indicated by anti-factor Xa (FXa) activity, are associated with the efficacy and adverse effects of anticoagulants (<xref ref-type="bibr" rid="B5">5</xref>), genotyping and anti-FXa monitoring could play a valuable role in optimizing perioperative DOAC management or enabling personalized dose adjustments.</p>
<p>Here, this review synthesizes evidence to provide optimal perioperative management strategies for DOAC in patients undergoing elective colorectal surgery (<xref ref-type="fig" rid="F1">Figure 1</xref>). Specifically, we integrate recent large-scale, procedure-specific data on VTE and bleeding risks, assess the emerging role of pharmacogenomics in personalizing therapy, and incorporate real-world evidence from diverse populations. This review systematically examines the interindividual variability in DOAC plasma levels, the pharmacogenomic information influencing interindividual variability, and the roles of genotyping and anti-FXa monitoring in perioperative DOAC management and individualized dose adjustment. It should be noted that certain clinical scenarios such as heparin-induced thrombocytopenia (HIT), recent coronary revascularization, and patients with documented antiphospholipid syndrome or inherited thrombophilia are beyond the scope of this review.</p>
<fig id="F1" position="float"><label>Figure&#x00A0;1</label>
<caption><p>Perioperative management of DOAC for patients undergoing colorectal surgery. CKD, chronic kidney disease; DOAC, direct oral anticoagulants; GRS, genetic risk score; VTE, venous thromboembolism.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-13-1626969-g001.tif"><alt-text content-type="machine-generated">Infographic showing perioperative DOAC management for colorectal surgeries, divided into preoperative interruption, intraoperative bridging, and postoperative resumption phases, with monitoring for high or low DOAC levels, genotyping considerations, and risks including overdose, kidney disease, drug interactions, and malabsorptive surgery.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3" sec-type="methods"><title>Methods</title>
<p>This review is based on a comprehensive literature search conducted in PubMed, Embase, and Web of Science databases from January 2017 to March 2025, using keywords including &#x201C;direct oral anticoagulants&#x201D;, &#x201C;colorectal surgery&#x201D;, &#x201C;perioperative management&#x201D;, &#x201C;pharmacogenomics&#x201D;, &#x201C;venous thromboembolism&#x201D; and &#x201C;bleeding&#x201D;. Studies were screened based on relevance on elective colorectal surgery and DOAC use, with priority given to RCTs, meta-analyses, and large cohort studies. Additional references were retrieved from the bibliographies of key articles.</p>
<sec id="s3a"><title>Study quality assessment</title>
<p>We assessed the quality of the included evidence using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) framework. GRADE is a widely adopted, transparent system for evaluating evidence and formulating clinical recommendations. It classifies the certainty of evidence as high, moderate, low, or very low based on explicit criteria across five key domains: risk of bias, inconsistency, indirectness, imprecision, and publication bias. Applying these criteria, the overall evidence synthesized in this review was judged to be of moderate or high certainty.</p>
</sec>
</sec>
<sec id="s4"><title>Different colorectal surgical procedures and their associated rates of VTE and bleeding</title>
<p>Colorectal surgery plays a vital role in the management of various diseases, including colorectal cancer (CRC), inflammatory bowel disease (IBD), diverticular disease, and other colorectal disorders. The choice of procedures depends on the specific condition, tumor location, and patient factors (<xref ref-type="bibr" rid="B6">6</xref>). The risk of postoperative VTE and bleeding is influenced by factors such as prolonged surgery duration, patient immobility, and underlying medical conditions (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Postoperative VTE and bleeding rates are widely reported quality metrics and used in pay-for-performance programs in medical institutions of different levels. Given that postoperative VTE is often asymptomatic, the reported incidence is subject to surveillance bias (<xref ref-type="bibr" rid="B9">9</xref>). In the aspect of postoperative bleeding, gastrointestinal bleeding (e.g., rectal bleeding, melena, and hematemesis) and anastomotic bleeding are usually symptomatic in clinical practice. As a result, the rates of VTE vary considerably, depending on the screening protocol, while bleeding rate are relatively stable.</p>
<sec id="s4a"><title>Abdominoperineal resection</title>
<p>Abdominoperineal resection (APR) for rectal cancer involves removing the rectum and anus and creating an end colostomy (<xref ref-type="bibr" rid="B10">10</xref>). The procedure is technically demanding due to the pelvic anatomy, with notable risks of presacral venous plexus hemorrhage and injury to adjacent structures such as the vagina, bladder, prostate, ureters, and pelvic nerves (<xref ref-type="bibr" rid="B11">11</xref>). Additionally, APR is associated with a high complication rate, as consistently reported in the literature. Specifically, for open APR, the risk of symptomatic VTE at 4 wk was 3.6&#x0025;, and the risk of bleeding requiring transfusion was 21.5&#x0025; (<xref ref-type="bibr" rid="B12">12</xref>). In contrast, for laparoscopic APR, the risk of symptomatic VTE was 1.1&#x0025;, and the risk of bleeding requiring transfusion was 4.9&#x0025; (<xref ref-type="bibr" rid="B12">12</xref>).</p>
</sec>
<sec id="s4b"><title>Anterior resection</title>
<p>For rectal cancer sparing the anal sphincter, anterior resection, or abdominal proctosigmoidectomy, is the indicated surgical procedure (<xref ref-type="bibr" rid="B13">13</xref>). It entails the excision of the rectosigmoid segment and the subsequent anastomosis of the descending colon to the proximal rectum. This sphincter-preserving method, which precludes perineal dissection, thereby maintains intestinal continuity and optimizes postoperative functional outcomes. Sphincter-preserving surgery in the form of low anterior resection (LAR) is recognized as the gold standard for localized rectal cancer (<xref ref-type="bibr" rid="B14">14</xref>). LAR accounts for up to 80&#x0025; of rectal cancer procedures (<xref ref-type="bibr" rid="B15">15</xref>). In 2023, a meta-analysis incorporating 18 clinical studies on anterior resection showed that for minimally invasive anterior resection, the risk of symptomatic VTE ranged from 0.8&#x0025; to 3.2&#x0025;, with a clinical relevant bleeding risk of 2.4&#x0025;. For open anterior resection, the risk of symptomatic VTE was between 1.0&#x0025; and 4.0&#x0025; (<xref ref-type="bibr" rid="B3">3</xref>).</p>
</sec>
<sec id="s4c"><title>Colectomy and total proctocolectomy</title>
<p>Colectomy involves the removal of part or all of the colon and can be performed for CRC. The decision to perform segmental or extended colectomy in CRC patients must consider the risk of metastasis and functional consequences of the surgery, age, and patients&#x0027; wishes (<xref ref-type="bibr" rid="B16">16</xref>). The procedure can be done through open surgery or minimally invasive techniques such as laparoscopic or robotic-assisted surgery. The risk of symptomatic VTE is between 1.8&#x0025; and 3.4&#x0025;. The risk of VTE also varies by extent of bowel resection: minimally invasive and open left (1.4&#x0025;) and right (1.9&#x0025;) hemicolectomies have lower VTE risk compared with total proctocolectomies or total colectomies (laparoscopic 5.0&#x0025; and open 5.4&#x0025;) (<xref ref-type="bibr" rid="B3">3</xref>). As for bleeding requiring reintervention, minimally invasive right colectomy has the highest risk (1.5&#x0025;), followed by minimally invasive colectomy for malignant disease (1.3&#x0025;) (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Although patients with IBD are usually treated medically, surgery is required in patients who develop severe complications and those who are refractory to medical therapy (<xref ref-type="bibr" rid="B17">17</xref>). Subtotal colectomy with or without ileal pouch-anal anastomosis (IPAA) can be performed on IBD patients (<xref ref-type="bibr" rid="B18">18</xref>). The risk of symptomatic VTE is slightly higher than that of malignant disease with rates from 2.1&#x0025; to 4.1&#x0025; (<xref ref-type="bibr" rid="B3">3</xref>). Postoperative bleeding from the remnant rectum is a procedure-specific complication after subtotal colectomy (<xref ref-type="bibr" rid="B19">19</xref>). The reported incidence of postoperative bleeding from the remnant rectum ranges from 1.8&#x0025; to 8.2&#x0025; (<xref ref-type="bibr" rid="B19">19</xref>). Total proctocolectomy (TPC) is the surgical resection of the entire colon and rectum with or without perineal dissections (<xref ref-type="bibr" rid="B20">20</xref>). This procedure is associated with a higher risk of symptomatic VTE due to its extensive nature and the potential for postoperative complications (<xref ref-type="bibr" rid="B21">21</xref>). The reported VTE incidence ranges from 4.3&#x0025; to 12.6&#x0025;, while clinical relevant bleeding rates can reach up to 2.4&#x0025;. The complexity of the surgery and the need for careful anastomosis contribute to these risks.</p>
</sec>
<sec id="s4d"><title>Rectopexy</title>
<p>Rectopexy is a surgical procedure used to treat rectal prolapse by securing the rectum to the sacral promontory (<xref ref-type="bibr" rid="B22">22</xref>). This procedure can be performed through an abdominal or perineal approach. Abdominal surgery for rectal prolapse requires one larger incision or multiple smaller incisions (<xref ref-type="bibr" rid="B23">23</xref>). The risk of VTE in rectopexy is relatively lower compared to more extensive colorectal procedures (<xref ref-type="bibr" rid="B24">24</xref>). It has been reported that within 30 days post-operation, the incidence of symptomatic VTE for laparoscopic rectopexy is 0.4&#x0025;, for open rectopexy is 0.6&#x0025;, and for perineal rectopexy is 1.2&#x0025;. Additionally, bleeding risks are also lower, with reintervention rates for bleeding around 0.4&#x0025;. However, the anatomical challenges and the need for precise fixation can still contribute to potential complications.</p>
</sec>
<sec id="s4e"><title>Asymptomatic VTE in the postoperative setting</title>
<p>Composite VTE includes both symptomatic and asymptomatic VTE, providing a comprehensive measure in clinical trials (<xref ref-type="bibr" rid="B25">25</xref>). A recent multicenter cohort study involving solid cancer patients reported a composite VTE rate of 11.4&#x0025; at 6 mo during anticoagulant therapy (<xref ref-type="bibr" rid="B26">26</xref>). Similarly, a prospective cohort study (the CRC-VTE study) in China observed a high composite VTE rate of 11.2&#x0025; in CRC patients following surgery (<xref ref-type="bibr" rid="B27">27</xref>). The rate of symptomatic VTE in this study was 2.5&#x0025;, consistent with the rates in randomized controlled trials (<xref ref-type="bibr" rid="B3">3</xref>). Two decades ago, the incidence of composite VTE events in China was reported to be higher (up to 38&#x0025;) compared with now (<xref ref-type="bibr" rid="B28">28</xref>), primarily because of discontinuation of anticoagulant therapy due to bleeding concerns and surgeons&#x0027; unawareness of VTE prophylactic guidelines and adherence to consensus treatment (<xref ref-type="bibr" rid="B29">29</xref>). Attention must be paid to timing of diagnosing asymptomatic VTE because regularly scheduled clinical and radiographic examinations are difficult to perform in post-discharge course in real-world settings.</p>
<p>The variation in VTE and bleeding risks across colorectal procedures underscores the need for a tailored approach. For surgeries with a high risk of VTE, a more aggressive prophylaxis regimen and closer post-discharge surveillance may be warranted. For low-risk procedures, standard prophylaxis may be sufficient. Surgeons must integrate this procedure-specific risk profile into their perioperative anticoagulation planning.</p>
</sec>
</sec>
<sec id="s5"><title>Perioperative management strategies for DOAC in colorectal surgical patients</title>
<p>The perioperative management of patients who are receiving chronic DOAC therapy and require elective colorectal surgery is a common clinical scenario (<xref ref-type="bibr" rid="B30">30</xref>). DOACs exert their anticoagulant effects by inhibiting FXa (apixaban, rivaroxaban, and edoxaban) and thrombin directly (dabigatran), and are commonly used in the treatment of atrial fibrillation (AF) as well as in the prevention and treatment of VTE (<xref ref-type="bibr" rid="B31">31</xref>). The expected 30-d risk of postoperative VTE recurrence in patients with chronic anticoagulation can be categorized into three tiers: high risk &#x003E;10&#x0025;, moderate risk 4&#x0025;&#x2013;10&#x0025;, and low risk &#x003C;2&#x0025; (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Similarly, those patients&#x0027; risk of surgery-related bleeding can be empirically classified into high, low-to-intermediate, and minimal classes, with the expected 30-d postoperative major bleeding risk as &#x2265;2&#x0025;, 0&#x0025;&#x2013;2&#x0025;, and &#x223C;0&#x0025;, respectively (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Upon this risk classification, colorectal surgery is considered to be a high bleeding risk procedure, necessitating adequate preoperative interruption of anticoagulants and delayed postoperative resumption to account for the longer time required for surgical site hemostasis (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>To enhance clinical utility, we analyze FXa inhibitors (apixaban, rivaroxaban and edoxaban) and the direct thrombin inhibitor (dabigatran) separately in the following sections, given their distinct pharmacokinetic profiles and management considerations.</p>
<sec id="s5a"><title>Preoperative DOAC interruption</title>
<p>Current guidelines recommend a PK-based approach for preoperative interruption of DOAC in patients undergoing elective colorectal surgery. For high bleeding risk surgery, preoperatice DOAC interruption should be maintained for four to five half-lives (<xref ref-type="bibr" rid="B35">35</xref>). Elimination half-lives of FXa inhibitors are 8&#x2013;12&#x2005;h in patients with creatinine clearance (CrCl) above 30&#x2005;mL/min (<xref ref-type="bibr" rid="B36">36</xref>). Dabigatran has a higher dependence on kidney clearance, so its elimination half-life is 10&#x2013;14&#x2005;h in patients with a CrCl at above 50&#x2005;mL/min and 18&#x2013;24&#x2005;h in patients with a CrCl of 30&#x2013;49.9&#x2005;mL/min (<xref ref-type="bibr" rid="B36">36</xref>). Specifically, the preoperative interruption interval should correspond to 8&#x2013;96&#x2005;h depending on different types of DOACs and hepatic/renal functions of individuals to ensure minimal or no residual anticoagulant effect at the time of surgery (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>The aforementioned strategy was investigated in the PAUSE study, which is a cohort study of 3,007 patients with AF and a CrCl &#x003E;30&#x2005;mL/min who were undergoing elective surgical or nonsurgical procedures while on DOAC therapy (<xref ref-type="bibr" rid="B37">37</xref>). The 30-d postoperative incidence rates of symptomatic VTE events and major bleeding were as follows: 0.48&#x0025; [95&#x0025; confidence interval (CI): 0.16&#x0025;&#x2013;1.40&#x0025;] and 1.35&#x0025; (95&#x0025; CI: 0.0&#x0025;&#x2013;2.0&#x0025;) in the apixaban cohort; 0.30&#x0025; (95&#x0025; CI: 0.06&#x0025;&#x2013;1.68&#x0025;) and 0.9&#x0025; (95&#x0025; CI: 0.0&#x0025;&#x2013;1.73&#x0025;) in the dabigatran cohort; and 0.09&#x0025; (95&#x0025; CI: 0.02&#x0025;&#x2013;0.87&#x0025;) and 1.85&#x0025; (95&#x0025; CI: 0.0&#x0025;&#x2013;2.65&#x0025;) in the rivaroxaban cohort (<xref ref-type="bibr" rid="B37">37</xref>). A retrospective single-center study evaluated the perioperative management of 525 patients on DOAC therapy undergoing elective surgery or procedures. Unlike the PAUSE study, perioperative DOAC management in this study was not standardized and was left to the discretion of the attending physicians. Using this approach, 2.4&#x0025; of patients experienced major bleeding, and 0.8&#x0025; had thromboembolic events, which were higher incidence rates compared to those observed in the PAUSE study (<xref ref-type="bibr" rid="B38">38</xref>).</p>
</sec>
<sec id="s5b"><title>Intraoperative bridging with low molecular weight heparin is not necessary</title>
<p>Compared to warfarin, the anticoagulant effect of DOACs decreases more rapidly after interruption and takes effect more quickly upon resumption of administration (<xref ref-type="bibr" rid="B39">39</xref>), thereby eliminating the need for low molecular weight heparin (LMWH) bridging during the perioperative DOAC interruption period. Studies have demonstrated that the perioperative management of patients undergoing noncardiac surgery while using DOACs without heparin bridging is safe and feasible (<xref ref-type="bibr" rid="B36">36</xref>). In a prospective registry of 901 patients undergoing elective surgery while on DOAC therapy, perioperative bridging with LMWH was associated with an increased risk of major bleeding (OR&#x2009;&#x003D;&#x2009;4.6; 95&#x0025; CI: 1.6&#x2013;13.2), while it had no significant impact on thromboembolic outcomes (OR&#x2009;&#x003D;&#x2009;1.9; 95&#x0025; CI: 0.7&#x2013;5.4) (<xref ref-type="bibr" rid="B40">40</xref>). In a meta-analysis, compared to the nonbridging group, perioperative bridging with LMWH was associated with a threefold higher incidence of major bleeding (4.8&#x0025;; 95&#x0025; CI: 3.4&#x0025;&#x2013;6.2&#x0025; vs. 1.6&#x0025;; 95&#x0025; CI: 1.2&#x0025;&#x2013;2.0&#x0025;), with no difference in the pooled incidence of stroke/systemic embolism (0.4&#x0025;; 95&#x0025; CI: 0.1&#x0025;&#x2013;0.9&#x0025; vs. 0.3&#x0025;; 95&#x0025;CI: 0.1&#x0025;&#x2013;0.4&#x0025;) (<xref ref-type="bibr" rid="B41">41</xref>). Notably, Fujikawa et al. observed that, in patients undergoing elective gastrointestinal surgery, the incidence of postoperative major bleeding was significantly higher in those treated with DOACs along with heparin bridging compared to those treated with warfarin or DOACs alone (14.7&#x0025; vs. 4.8&#x0025; vs. 1.4&#x0025;, <italic>P</italic>&#x2009;&#x003D;&#x2009;0.011) (<xref ref-type="bibr" rid="B42">42</xref>). Nevertheless, in selected high thrombotic risk patients (e.g., recent VTE within 3 months, mechanical heart valves, or prior thromboembolism during anticoagulation interruption), individualized consideration of bridging therapy may be warranted after multidisciplinary evaluation.</p>
</sec>
<sec id="s5c"><title>Postoperative DOAC resumption</title>
<p>The timing of postoperative resumption of DOACs is based on the assessment of bleeding risk associated with surgery and hemostasis at the surgical site, including blood loss through surgical dressings and drains. Colorectal surgery is considered high-risk for bleeding, and guidelines recommend restarting DOACs 2 d after surgery (<xref ref-type="bibr" rid="B43">43</xref>). Flexibility in the timing of postoperative DOAC resumption is necessary, as the anticoagulant effect peaks 2&#x2013;3&#x2005;h after administration, which may increase the risk of postoperative bleeding, particularly relevant if patients experience greater than expected postoperative blood loss (<xref ref-type="bibr" rid="B36">36</xref>). If postoperative bleeding occurs or hemostasis at the surgical site is uncertain, resumption should be delayed (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>In the PAUSE study, DOAC resumption was not initiated earlier than 48&#x2013;72&#x2005;h after surgery, with a high bleeding risk, which was associated with a 30-d postoperative major bleeding rate of 2.49&#x0025; (95&#x0025; CI: 0&#x0025;&#x2013;4.25&#x0025;) in this population (<xref ref-type="bibr" rid="B37">37</xref>). Even in a subgroup of patients undergoing radical prostatectomy (identified as procedure with high thromboembolism risk and bleeding risk), the strategy of PAUSE achieved total rates of thromboembolic/bleeding complications within 30 d postoperatively as low as 3.7&#x0025; (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>Despite these advantages, anticoagulants remain the leading cause of emergency department visits due to adverse drug events, accounting for &#x223C;14.90&#x0025; (95&#x0025; CI: 10.70&#x0025;&#x2013;19.10&#x0025;) of all ADE-related visits in the USA from 2017 to 2019 (<xref ref-type="bibr" rid="B45">45</xref>). Clinical research over the past decade has revealed significant interpatient variability in DOAC plasma levels, raising concerns about the appropriateness of a &#x201C;one size fits all&#x201D; dosing strategy for DOACs (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>).</p>
</sec>
<sec id="s5d"><title>Laboratory assays and perioperative monitoring of DOAC levels</title>
<p>Quantitative measures for the direct assessment of DOACs&#x0027; effects involve anti-FXa activity (for FXa inhibitors), dilute thrombin time (for dabigatran), ecarin thrombin time (for dabigatran), and drug plasma levels (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). For the anti-FXa assay, FXa is added to plasma containing a FXa substrate (e.g., heparin) that is tagged with a chromophore. When the chromophore is cleaved by FXa, a color change results that is directly proportional to the levels of FXa present in the assay (<xref ref-type="bibr" rid="B50">50</xref>). The chromogenic anti-FXa assay for the anticoagulant effects of FXa inhibitors is precise, sensitive, and accurate with a plasma levels-dependent inhibition of FXa activity (correlation coefficient of 0.9669) (<xref ref-type="bibr" rid="B50">50</xref>). No effect is expected on the anti-FXa assay from dabigatran based on the mechanism of direct thrombin inhibition. Dabigatran prolongs the dTT in a linear dose-relationship and can accurately predict anticoagulation intensity (<xref ref-type="bibr" rid="B51">51</xref>). The dTT demonstrated a high correlation with dabigatran plasma levels when used with both in-house and Hemoclot-derived dabigatran calibrators (correlation coefficients of 0.9981 and 0.9982, respectively) (<xref ref-type="bibr" rid="B52">52</xref>). The ECT directly measures thrombin generation, with a correlation coefficient of 0.92 with dabigatran plasma levels (<xref ref-type="bibr" rid="B53">53</xref>). No effect is expected on dTT and ECT from this drug class based on the mechanism of direct FXa inhibition.</p>
<p>Few data exist regarding the effect of measuring preoperative DOAC levels on perioperative bleeding risk. Some have advocated that a preoperative DOAC level less than 50&#x2005;ng/mL is a safe threshold to allow surgery to proceed, as it considered a minimal, clinically insignificant anticoagulant effect. And a DOAC level less than 30&#x2005;ng/mL may be considered an undetectable level (<xref ref-type="bibr" rid="B54">54</xref>). For colorectal surgery, patients with multiple factors (e.g., age &#x2265;<sans-serif>75</sans-serif> years or renal insufficiency) interfering with PK of DOACs, or patients with uncertain time windows, may benefit from low residual DOAC levels, particularly for procedures associated with a high risk of bleeding (e.g., total proctocolectomy), where minimal or no anticoagulant effect is desired during surgery (<xref ref-type="bibr" rid="B37">37</xref>). Some studies have assessed preprocedural DOAC levels and clinical factors associated with higher residual levels (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>). A secondary analysis of PAUSE study was performed to identify risk factors associated with unsatisfied residual DOAC levels (<xref ref-type="bibr" rid="B55">55</xref>). In low-risk procedures, age &#x2265;<sans-serif>75</sans-serif> years, female sex, and CrCl &#x003E;50&#x2005;mL/min were associated with both DOAC levels &#x2265;<sans-serif>30</sans-serif>&#x2005;ng/mL and &#x2265;<sans-serif>50</sans-serif>&#x2005;ng/mL. Additionally, a DOAC interruption of 36&#x2005;h was linked to levels &#x2265;<sans-serif>30</sans-serif>&#x2005;ng/mL, while standard DOAC dosing was associated with levels &#x2265;<sans-serif>50</sans-serif>&#x2005;ng/mL. For high-risk procedures, weight &#x003C;70&#x2005;kg, CrCl &#x003E;50&#x2005;mL/min, and standard DOAC dosing were associated with residual DOAC levels &#x2265;<sans-serif>30</sans-serif>&#x2005;ng/mL, whereas female sex was linked to levels &#x2265;<sans-serif>50</sans-serif>&#x2005;ng/mL (<xref ref-type="bibr" rid="B55">55</xref>). The CORIDA study, a prospective observational study involving 422 DOAC-treated patients undergoing elective procedures, measured preprocedural DOAC levels. Unlike the PAUSE study, it did not standardize perioperative DOAC management, resulting in a wide variation in DOAC interruption duration (1&#x2013;218&#x2005;h). The study identified the duration of DOAC interruption, CrCl &#x003C;50&#x2005;mL/min, and antiarrhythmic drug use as predictors of preprocedural DOAC levels &#x2265;<sans-serif>30</sans-serif>&#x2005;ng/mL, while patient age, sex, and weight were not significant predictors (<xref ref-type="bibr" rid="B56">56</xref>).</p>
<p>Meanwhile, the feasibility and cost-effectiveness of DOAC level monitoring remain important practical considerations. While the anti-FXa assay is becoming more accessible, its widespread implementation is constrained by factors including specialized laboratory infrastructure, trained personnel, and the limited availability of DOAC-specific calibrators. A survey of 46 specialized coagulation assays revealed that only 39&#x0025; offered anti-Xa assays for rivaroxaban and 22&#x0025; offered this assay for apixaban (<xref ref-type="bibr" rid="B57">57</xref>). Current guidelines applicable to China generally recommend a PK-based management strategy without mandatory preprocedural DOAC level measurement (<xref ref-type="bibr" rid="B58">58</xref>). This approach prioritizes a standardized interruption interval based on the drug&#x0027;s half-life, renal function, and procedural bleeding risk, reserving laboratory assessment for complex or high-risk scenarios (e.g., emergency surgery, severe renal impairment, or suspected overdose). Within this framework, greater emphasis is placed on the safety thresholds and interruption timelines. For elective surgery, a preprocedural DOAC level below 50&#x2005;ng/mL is widely considered to represent a minimal anticoagulant effect associated with bleeding risk, while a level below 30&#x2005;ng/mL is often regarded as negligible (<xref ref-type="bibr" rid="B54">54</xref>). To achieve this, a preoperative interruption period corresponding to four to five drug half-lives is recommended for procedures with high bleeding risk.</p>
</sec>
<sec id="s5e"><title>DOAC management in emergency colorectal surgery</title>
<p>Patients treated with DOACs who require emergency surgery have a high risk of bleeding (17&#x0025;&#x2013;23&#x0025;) and VTE (7&#x0025;&#x2013;16&#x0025;) (<xref ref-type="bibr" rid="B59">59</xref>). Management decisions for patients taking DOACs who need emergency colorectal surgery involve multiple patient- and procedure-related factors, making it difficult to develop standardized management protocols (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>). The anticoagulant effect of a DOAC can be neutralized with DOAC specific reversal agents, including andexanet-&#x03B1; for apixaban, edoxaban and rivaroxaban or idarucizumab, a monoclonal antibody fragment that act as a specific reversal agent for dabigatran (<xref ref-type="bibr" rid="B62">62</xref>). Prothrombin complex concentrate (PCC) and activated PCC, which are nonspecific prohemostatic agents, can be used to reverse the effect of all DOACs (<xref ref-type="bibr" rid="B62">62</xref>). If DOAC level testing is available, a DOAC level at or above 50&#x2005;ng/mL may necessitate the use of a DOAC reversal agent, whereas a level less than 50&#x2005;ng/mL may allow the operation to proceed without a reversal intervention (<xref ref-type="bibr" rid="B63">63</xref>). If DOAC level testing is unavailable, DOAC reversal agent should be considered if the most recent DOAC dose was taken less than 48&#x2005;h before the procedure (<xref ref-type="bibr" rid="B60">60</xref>).</p>
</sec>
<sec id="s5f"><title>Perioperative DOAC management of high-risk population</title>
<p>Inflammatory bowel disease (IBD) is a chronic inflammatory disorder associated with a markedly prothrombotic state (<xref ref-type="bibr" rid="B64">64</xref>). The underlying inflammation elevates the risk of thromboembolism by 2&#x2013;3 fold (<xref ref-type="bibr" rid="B65">65</xref>). This risk further amplified by active IBD disease, flares-up, surgery, steroid treatment, and hospitalization (<xref ref-type="bibr" rid="B66">66</xref>). Meanwhile, IBD patients may suffer gastrointestinal bleeding, especially those with ulcerative colitis (<xref ref-type="bibr" rid="B67">67</xref>). Anticoagulant therapy may increase the bleeding risk in IBD patients, which may consequently influence treatment decisions (<xref ref-type="bibr" rid="B68">68</xref>). For IBD patients on DOACs, a standardized PK-based interruption strategy is recommended (<xref ref-type="bibr" rid="B69">69</xref>). However, in patients with active severe colitis, recent significant gastrointestinal bleeding, or undergoing surgery involving extensive mucosal resection, a more conservative approach may be considered in consultation with a gastroenterologist and hematologist (<xref ref-type="bibr" rid="B69">69</xref>). Postoperative DOAC resumption should generally follow the high bleeding risk protocol (e.g., 48&#x2013;72&#x2005;h post-surgery after hemostasis is secured) (<xref ref-type="bibr" rid="B69">69</xref>). Bridging therapy is not routinely recommended due to its associated bleeding risk (<xref ref-type="bibr" rid="B70">70</xref>).</p>
<p>Frailty constitutes a high-risk category for perioperative DOAC management due to its amplification of both thrombotic and hemorrhagic complications (<xref ref-type="bibr" rid="B71">71</xref>). Frail patients present a complex challenge characterized by multimorbidity, polypharmacy, and reduced physiological reserve (<xref ref-type="bibr" rid="B72">72</xref>). Of particular concern is the heightened susceptibility to bleeding due to factors such as increased fall risk, acute kidney injury, and prevalent drugs interactions (<xref ref-type="bibr" rid="B73">73</xref>). Prolonged immobility and delayed recovery may extend the window of vulnerability to VTE (<xref ref-type="bibr" rid="B73">73</xref>). Therefore, a standard or more conservative DOAC interruption strategy is warranted. Preoperative interruption should follow PK timelines for high bleeding risk surgery (<xref ref-type="bibr" rid="B74">74</xref>). Postoperative resumption should be carefully timed, balancing thrombotic therapy needs against the heightened risk of spontaneous or traumatic hemorrhage (<xref ref-type="bibr" rid="B75">75</xref>). Factors such as dynamic renal function, nutritional status, and cognitive function must be serially evaluated to guide safe restarting of therapy.</p>
<p>Renal function is a critical determinant of DOACs clearance, particularly for dabigatran (&#x223C;85&#x0025; renal excretion), and to a significant extent for edoxaban, rivaroxaban, and apixaban (<xref ref-type="bibr" rid="B76">76</xref>). Impaired renal excretion prolongs the half-life and elevates plasma levels, thereby increasing the risk of major bleeding during the perioperative period (<xref ref-type="bibr" rid="B76">76</xref>). For patients with moderate to severe renal impairment (e.g., CrCl 15&#x2013;50&#x2005;mL/min), a prolonged preoperative DOAC interruption period is mandatory. The duration must be tailored to the specific agent and the degree of renal dysfunction, often extending 24&#x2013;48&#x2005;h beyond the standard window recommended for normal renal function (<xref ref-type="bibr" rid="B77">77</xref>). In urgent situations or for patients with fluctuating renal function, laboratory monitoring can objectively assess residual anticoagulant activity prior to surgery (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B63">63</xref>). Postoperative resumption must be highly individualized. Dose adjustment according to the guidelines based on current renal function is imperative upon restarting (<xref ref-type="bibr" rid="B76">76</xref>).</p>
</sec>
</sec>
<sec id="s6"><title>Variability in DOAC plasma levels and their exposure&#x2013;effect relationship</title>
<p>DOACs exhibit relatively predictable dose&#x2013;exposure (PK) and dose&#x2013;response (PD) relationships. However, when fixed doses of DOACs are administered, some patients may exhibit drug levels deemed too high or too low, demonstrating significant interindividual variability in plasma levels (<xref ref-type="bibr" rid="B78">78</xref>). According to guidelines, among patients receiving an appropriate normal dose of DOACs, 9&#x0025; have levels below the expected range, and 23.8&#x0025; have levels above the expected range (<xref ref-type="bibr" rid="B79">79</xref>). A study involving 152 patients using DOACs assessed intraindividual and interindividual variability by calculating the coefficient of variation (CV). The study found that, for interindividual variability, patients on the recommended dose had trough CVs ranging from 48&#x0025; to 81&#x0025; and peak CVs ranging from 25&#x0025; to 69&#x0025;; intraindividual variability was lower, with trough CVs ranging from 18&#x0025; to 33&#x0025; and peak CVs from 15&#x0025; to 29&#x0025; (<xref ref-type="bibr" rid="B80">80</xref>). A real-world study specifically targeting older patients found up to 48-fold and 13-fold variations in trough and peak levels, respectively (<xref ref-type="bibr" rid="B78">78</xref>). Compared to patients taking rivaroxaban or dabigatran, a significantly higher proportion of patients taking apixaban had peak levels within the reported range (82.9&#x0025; vs. 44.3&#x0025; vs. 64.3&#x0025;, respectively; <italic>P</italic>&#x2009;&#x003C;&#x2009;0.001). One-third of the variability in DOAC levels is attributed to the effects of DOAC dose, renal function, and gender (<xref ref-type="bibr" rid="B78">78</xref>). A retrospective cohort study of trauma patients found considerable variability in anti-FXa levels among those using rivaroxaban or apixaban; older, smaller females with decreased renal function exhibited higher DOAC-specific anti-FXa levels post-trauma (<xref ref-type="bibr" rid="B81">81</xref>).</p>
<p>In order to balance risk of anticoagulation underuse and anticoagulation-related bleeding, several investigator-initiated studies have explored the exposure&#x2013;effect relationship of DOACs for individualized patient dosimetric estimation. Results of those studies and target range of different DOACs are given in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref> (<xref ref-type="bibr" rid="B80">80</xref>&#x2013;<xref ref-type="bibr" rid="B90">90</xref>), and the main findings are summarized below. Plasma levels outside the expected range are associated with higher incidences of adverse events, and some form of therapeutic drug monitoring may improve patient outcomes (<xref ref-type="bibr" rid="B82">82</xref>&#x2013;<xref ref-type="bibr" rid="B92">92</xref>).</p>
<table-wrap id="T1" position="float"><label>Table&#x00A0;1</label>
<caption><p>The peak and trough levels of DOACs at different doses, and their exposure-effect relationship.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">DOACs</th>
<th valign="top" align="center">Population</th>
<th valign="top" align="center">Dose</th>
<th valign="top" align="center">Peak levels<break/>(ng/mL)</th>
<th valign="top" align="center">Trough levels<break/>(ng/mL)</th>
<th valign="top" align="center">Exposure-effect relationship</th>
<th valign="top" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="7">Rivaroxaban</td>
<td valign="top" align="left" rowspan="2">AF</td>
<td valign="top" align="left">15&#x2005;mg qd</td>
<td valign="top" align="center">344.25<break/>(25th&#x2013;75th, 222.75-562.5)</td>
<td valign="top" align="center">29.25<break/>(25th&#x2013;75th, 11.25-74.25)</td>
<td valign="top" align="left" rowspan="2">Peak levels (HR&#x2009;&#x003D;&#x2009;2.07 per 1.0 IU/mL; 95&#x0025; CI: 1.18-3.65) for hemorrhagic events</td>
<td valign="top" align="left" rowspan="2">Wada et al. (<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">10&#x2005;mg qd</td>
<td valign="top" align="center">279<break/>(25th&#x2013;75th, 153&#x2013;384.75)</td>
<td valign="top" align="center">11.25<break/>(25th&#x2013;75th, 2.25&#x2013;63)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">AF</td>
<td valign="top" align="left">20&#x2005;mg qd</td>
<td valign="top" align="center">266<break/>(min-max, 142&#x2013;552)</td>
<td valign="top" align="center">38<break/>(min-max, 5&#x2013;125)</td>
<td valign="top" align="left" rowspan="2">Trough levels were higher in patients with bleeding than in patients without it<break/>(48 &#x2009;&#x00B1; &#x2009;30 vs 34 &#x2009;&#x00B1; &#x2009;26, <italic>P</italic>&#x2009;&#x2009;&#x003D;&#x2009;0.02)</td>
<td valign="top" align="left" rowspan="2">Mikli&#x010D; et al. (<xref ref-type="bibr" rid="B83">83</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">15&#x2005;mg qd</td>
<td valign="top" align="center">214<break/>(min-max, 152&#x2013;530)</td>
<td valign="top" align="center">37<break/>(min-max, 10&#x2013;141)</td>
</tr>
<tr>
<td valign="top" align="left">VTE</td>
<td valign="top" align="center">20&#x2005;mg qd</td>
<td valign="top" align="center">270<break/>(5th&#x2013;95th, 189&#x2013;419)</td>
<td valign="top" align="center">26<break/>(5th&#x2013;95th, 6&#x2013;87)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">Mueck et al. (<xref ref-type="bibr" rid="B84">84</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">VTE</td>
<td valign="top" align="left">15&#x2005;mg qd</td>
<td valign="top" align="center">339.75&#x2009;&#x00B1;&#x2009;243</td>
<td valign="top" align="center">103.5&#x2009;&#x00B1;&#x2009;162</td>
<td valign="top" align="left" rowspan="2">NA</td>
<td valign="top" align="left" rowspan="2">Ono et al. (<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">30&#x2005;mg qd</td>
<td valign="top" align="center">661.5&#x2009;&#x00B1;&#x2009;258.75</td>
<td valign="top" align="center">351&#x2009;&#x00B1;&#x2009;276.75</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Apixaban</td>
<td valign="top" align="left" rowspan="2">AF</td>
<td valign="top" align="left">5&#x2005;mg bid</td>
<td valign="top" align="center">659.25<break/>(25th&#x2013;75th, 490.5&#x2013;832.5)</td>
<td valign="top" align="center">405<break/>(25th&#x2013;75th, 254.25&#x2013;524.25)</td>
<td valign="top" align="left" rowspan="2">Tough levels (HR&#x2009;&#x003D;&#x2009;2.22 per 1.0&#x2005;IU/mL; 95&#x0025; CI: 1.16&#x2013;4.24);<break/>Peak levels (HR&#x2009;&#x003D;&#x2009;2.47 per 1.0 IU/mL; 95&#x0025; CI: 1.28&#x2013;4.75) for hemorrhagic events</td>
<td valign="top" align="left" rowspan="2">Wada et al. (<xref ref-type="bibr" rid="B82">82</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">2.5&#x2005;mg bid</td>
<td valign="top" align="center">432<break/>(25th&#x2013;75th, 326.25&#x2013;618.75)</td>
<td valign="top" align="center">261<break/>(25th&#x2013;75th, 175.5&#x2013;507.45)</td>
</tr>
<tr>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">2.5&#x2005;mg bid<break/>5&#x2005;mg bid</td>
<td valign="top" align="center">217<break/>(min-max, 45&#x2013;658)</td>
<td valign="top" align="center">111.3<break/>(min-max, 22&#x2013;515)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">Testa et al. (<xref ref-type="bibr" rid="B86">86</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">VTE</td>
<td valign="top" align="left">2.5&#x2005;mg bid</td>
<td valign="top" align="center">90<break/>(5th&#x2013;95th, 37&#x2013;161)</td>
<td valign="top" align="center">34<break/>(5th&#x2013;95th, 7&#x2013;68)</td>
<td valign="top" align="left" rowspan="2">NA</td>
<td valign="top" align="left" rowspan="2">Reda et al. (<xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">5&#x2005;mg bid</td>
<td valign="top" align="center">160<break/>(5th&#x2013;95th, 63&#x2013;299)</td>
<td valign="top" align="center">71<break/>(5th&#x2013;95th, 13&#x2013;114)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">VTE</td>
<td valign="top" align="left">5&#x2005;mg bid</td>
<td valign="top" align="center">542.3&#x2009;&#x00B1;&#x2009;258.8</td>
<td valign="top" align="center">391.5&#x2009;&#x00B1;&#x2009;240.75</td>
<td valign="top" align="left" rowspan="2">NA</td>
<td valign="top" align="left" rowspan="2">Ono et al. (<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">10&#x2005;mg bid</td>
<td valign="top" align="center">920.3&#x2009;&#x00B1;&#x2009;265.5</td>
<td valign="top" align="center">663.8&#x2009;&#x00B1;&#x2009;324</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Edoxaban</td>
<td valign="top" align="left" rowspan="3">AF</td>
<td valign="top" align="left">60&#x2005;mg qd</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">36.1<break/>(25th&#x2013;75th, 19.4&#x2013;62.0)</td>
<td valign="top" align="left" rowspan="3">NA</td>
<td valign="top" align="left" rowspan="3">Ruff et al. (<xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">30&#x2005;mg qd</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">27.0<break/>(25th&#x2013;75th, 14.6&#x2013;44.6)</td>
</tr>
<tr>
<td valign="top" align="left">15&#x2005;mg qd</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">12.4<break/>(25th&#x2013;75th, 7.3&#x2013;21.0)</td>
</tr>
<tr>
<td valign="top" align="left">VTE</td>
<td valign="top" align="center">30&#x2005;mg qd</td>
<td valign="top" align="center">281.25<break/>(25th&#x2013;75th, 173.25&#x2013;382.5)</td>
<td valign="top" align="center">24.75<break/>(25th&#x2013;75th, 15.75&#x2013;51.75)</td>
<td valign="top" align="left">Peak levels &#x2265;&#x2009;2.09&#x2005;IU/mL<break/>(HR&#x2009;&#x003D;&#x2009;11.5, 95&#x0025; CI: 1.3&#x2013;105.2) for MB and CRNMB</td>
<td valign="top" align="left">Nakano et al. (<xref ref-type="bibr" rid="B89">89</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">VTE</td>
<td valign="top" align="left">30&#x2005;mg qd</td>
<td valign="top" align="center">166.5&#x2009;&#x00B1;&#x2009;87.75</td>
<td valign="top" align="center">42.8&#x2009;&#x00B1;&#x2009;31.5</td>
<td valign="top" align="left" rowspan="2">NA</td>
<td valign="top" align="left" rowspan="2">Ono et al. (<xref ref-type="bibr" rid="B85">85</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">60&#x2005;mg qd</td>
<td valign="top" align="center">317.25&#x2009;&#x00B1;&#x2009;155.25</td>
<td valign="top" align="center">38.25&#x2009;&#x00B1;&#x2009;29.25</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3">Dabigatran</td>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">110&#x2005;mg bid</td>
<td valign="top" align="center">96.03<break/>(10th&#x2013;90th, 38.43&#x2013;191.90)</td>
<td valign="top" align="center">38.46<break/>(10th&#x2013;90th, 13.02&#x2013;108.11)</td>
<td valign="top" align="left">No significant relationship between peak level and bleeding or stroke/SEE<break/>(<italic>P</italic>&#x2009;&#x003D;&#x2009;0.169, 0.430)</td>
<td valign="top" align="left">Zhu et al. (<xref ref-type="bibr" rid="B90">90</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">110&#x2005;mg bid</td>
<td valign="top" align="center">150.5<break/>(10th&#x2013;90th, 51.3&#x2013;425.6)</td>
<td valign="top" align="center">77.6<break/>(10th&#x2013;90th, 28.4&#x2013;292.8)</td>
<td valign="top" align="left">Trough levels&#x2009;&#x2265;<sans-serif>&#x2009;243</sans-serif>.9&#x2005;ng/mL<break/>(HR&#x2009;&#x003D;&#x2009;8.0, 95&#x0025; CI: 3.0&#x2013;25.0)<break/>for hemorrhagic events</td>
<td valign="top" align="left">Chaussade et al. (<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
<tr>
<td valign="top" align="left">AF</td>
<td valign="top" align="left">110&#x2005;mg bid<break/>150&#x2005;mg bid</td>
<td valign="top" align="center">157<break/>(min-max, 36&#x2013;633)</td>
<td valign="top" align="center">78<break/>(min-max, 36&#x2013;324)</td>
<td valign="top" align="left">Peak levels&#x2009;&#x2265;<sans-serif>&#x2009;186</sans-serif>&#x2005;ng/mL<break/>(OR&#x2009;&#x003D;&#x2009;2.7, 95&#x0025; CI: 1.3&#x2013;5.4)<break/>for hemorrhagic events</td>
<td valign="top" align="left">Testa et al. (<xref ref-type="bibr" rid="B92">92</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF1"><p>DOACs, direct oral anticoagulants; AF, atrial fibrillation; HR, hazard ratio; 95&#x0025;CI: 95&#x0025; confidence interval; VTE, venous thromboembolism; qd once daily; bid, twice daily; CRNMB, clinically relevant nonmajor bleeding; MB, major bleeding; SEE, systemic embolic event; OR, odds ratio.</p></fn>
<fn id="TF2"><label><sup>a</sup></label>
<p>Hemorrhage included major bleeding, clinical relevant nonmajor bleeding, and minor bleeding NA, not available.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The documented interindividual variability in DOAC plasma levels and its established exposure-effect relationship carry significant implications for perioperative management in colorectal surgery. In clinical practice, this translates to tailoring the timing of preoperative DOAC interruption, particularly for patients at the extremes of these covariates (e.g., the elderly, those with renal impairment, or low body weight), to ensure adequate drug clearance. Conversely, awareness of factors associated with low drug levels can inform decisions to minimize the duration of subtherapeutic anticoagulation in high thrombotic risk individuals.</p>
</sec>
<sec id="s7"><title>Pharmacogenomics of DOACs</title>
<p>In light of the rapidly growing understanding of the complex human genome and its derived functional biology allows selection of candidate single nucleotide polymorphisms (SNPs) based on the current knowledge of pharmacogenomics to optimize the safety and efficacy of anticoagulant therapy.</p>
<p>The pharmacogenomics of DOACs remains an emerging and increasingly popular area of interest, with the majority of research focusing on genes that influence the metabolic pathways of DOACs. Most DOACs follow a comparable metabolic pathway (<xref ref-type="bibr" rid="B93">93</xref>), involving absorption in the gastrointestinal tract by enterocytes through active and passive transport mechanisms, followed by entry into the hepatic portal circulation. In the liver, DOACs that are prodrugs, such as dabigatran etexilate, are converted to their active forms by specific enzymes, including carboxylesterase (CES)1 (<xref ref-type="bibr" rid="B94">94</xref>). These active compounds then enter the systemic circulation to exert their anticoagulant effects or are eliminated from the body by ABC efflux transporters, including P-glycoprotein (P-gp) (encoded by the <italic>ABCB1</italic> gene) and proteins encoded by <italic>ABCG2</italic>. Some DOACs, including edoxaban, require the organic anion transporter protein (OATP)1B1 (encoded by <italic>SLCO1B1</italic>) for partial hepatic uptake. Following this, the active drug enters the systemic circulation to exert its pharmacological effects (<xref ref-type="bibr" rid="B95">95</xref>). Elimination of DOACs occurs via hepatic and renal pathways. Specifically, dabigatran is activated hepatically and then cleared predominantly by the kidneys (85&#x0025;). In contrast, FXa inhibitors undergo hepatic metabolism primarily via CYP3A4 and CYP3A5, with rivaroxaban additionally metabolized by CYP2J2 (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>). Edoxaban is primarily metabolized by CES1 and, to a lesser extent, by CYP3A4/3A5, and is transported by P-gp (<xref ref-type="bibr" rid="B95">95</xref>). The proportion of the FXa inhibitors not cleared by the liver, is excreted by the kidneys (33&#x0025;, 27&#x0025;, and 35&#x0025;, respectively) (<xref ref-type="bibr" rid="B95">95</xref>&#x2013;<xref ref-type="bibr" rid="B97">97</xref>).</p>
<p>Polymorphisms in genes encoding these metabolic enzymes and transporters can lead to alterations in the pharmacokinetics of DOACs and influence clinical outcomes such as bleeding risk. The key genetic polymorphisms associated with each DOAC, their impact on plasma levels, and their reported associations with clinical bleeding outcomes are systematically summarized in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref> (<xref ref-type="bibr" rid="B98">98</xref>&#x2013;<xref ref-type="bibr" rid="B105">105</xref>).</p>
<table-wrap id="T2" position="float"><label>Table&#x00A0;2</label>
<caption><p>Pharmacogenomic variants affecting the pharmacokinetics of DOACs.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">DOACs</th>
<th valign="top" align="center">SNPs</th>
<th valign="top" align="center">Grouped Genotypes</th>
<th valign="top" align="center">Plasma Levels (ng/mL)</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">Clinical Outcomes</th>
<th valign="top" align="center"><italic>P</italic>-value</th>
<th valign="top" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" rowspan="9">Rivaroxaban</td>
<td valign="top" align="left"><italic>ABCB1</italic></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Peak levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center">Hemorrhage<xref ref-type="table-fn" rid="TF4"><sup>a</sup></xref></td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs2032582</td>
<td valign="top" align="left">AA (47.22&#x0025;)<break/>GA/GG (52.78&#x0025;)</td>
<td valign="top" align="left">213.34&#x2009;&#x00B1;&#x2009;100.95<break/>239.86&#x2009;&#x00B1;&#x2009;150.92</td>
<td valign="top" align="left">&#x003C;0.001<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref><break/></td>
<td valign="top" align="center">OR&#x003D;2.262<break/>(95&#x0025; CI: 1.188&#x2013;4.310)</td>
<td valign="top" align="left">0.013<xref ref-type="table-fn" rid="TF5">&#x002A;</xref></td>
<td valign="top" align="center">Zhang et al. (<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Trough levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center">CRNMB</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs1045642</td>
<td valign="top" align="left">CC (17.2&#x0025;)<break/>CT/TT (82.8&#x0025;)</td>
<td valign="top" align="left">57.7 (25th-75th, 23.3&#x2013;75.8)<break/>56.5 (25th-75th, 36.5&#x2013;76.5)</td>
<td valign="top" align="left">0.501</td>
<td valign="top" align="center">OR&#x003D;5.574<break/>(95&#x0025; CI: 4.408&#x2013;7.040)</td>
<td valign="top" align="left">&#x003C;0.001<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref><break/></td>
<td valign="top" align="center">Sychev et al. (<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Trough levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center">CRNMB</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs4148738</td>
<td valign="top" align="left">CC (28.9&#x0025;)<break/>CT/TT (71.1&#x0025;)</td>
<td valign="top" align="left">57.7 (25th-75th, 28.3&#x2013;98.0)<break/>53.4 (25th-75th, 33.9&#x2013;72.9)</td>
<td valign="top" align="left">0.481</td>
<td valign="top" align="center">OR&#x003D;3.200<break/>(95&#x0025; CI: 2.790&#x2013;3.670)</td>
<td valign="top" align="left">&#x003C;0.001<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref><break/><break/></td>
<td valign="top" align="center">Sychev et al. (<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Trough levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center">Hemorrhage<xref ref-type="table-fn" rid="TF4"><sup>a</sup></xref></td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs1128503</td>
<td valign="top" align="left">CC (17.42&#x0025;)<break/>CT/TT (82.58&#x0025;)</td>
<td valign="top" align="left">20.23 (25th-75th, 13.64&#x2013;51.70)<break/>30.47 (25th-75th, 16.47&#x2013;61.00)</td>
<td valign="top" align="left">0.04<xref ref-type="table-fn" rid="TF5">&#x002A;</xref></td>
<td valign="top" align="center">OR&#x003D;1.30<break/>(95&#x0025; CI: 0.85&#x2013;1.99)</td>
<td valign="top" align="left">0.23</td>
<td valign="top" align="center">Wang et al. (<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Apixaban</td>
<td valign="top" align="left"><italic>ABCG2</italic></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Trough levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs2231142</td>
<td valign="top" align="left">CC (45.4&#x0025;)<break/>CA/AA (54.6&#x0025;)</td>
<td valign="top" align="left">129.52 (25th-75th, 88.35&#x2013;170.70)<break/>148.85 (25th-75th, 81.72&#x2013;207.16)</td>
<td valign="top" align="left">0.003<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="center">Ueshima et al. (<xref ref-type="bibr" rid="B101">101</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>CYP3A5</italic></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Trough levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs776746</td>
<td valign="top" align="left">AA (6.8&#x0025;)<break/>AG/GG (93.2&#x0025;)</td>
<td valign="top" align="left">87.59 (25th-75th, 73.37&#x2013;114.55)<break/>141.36 (25th-75th, 96.12&#x2013;190.62)</td>
<td valign="top" align="left">0.006<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="center">Ueshima et al. (<xref ref-type="bibr" rid="B101">101</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="7">Edoxaban</td>
<td valign="top" align="left"><italic>SCLO1B1</italic></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">Hemorrhage<xref ref-type="table-fn" rid="TF4"><sup>a</sup></xref></td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs4149056</td>
<td valign="top" align="left">TT (14&#x0025;)<break/>CT/CC (86&#x0025;)</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="center">OR&#x003D;4.26<break/>(95&#x0025; CI: 1.55&#x2013;11.69)</td>
<td valign="top" align="left">0.003<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">Han et al. (<xref ref-type="bibr" rid="B102">102</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Peak levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs4149056</td>
<td valign="top" align="left">TT (83.8&#x0025;)<break/>CT/CC (16.2&#x0025;)</td>
<td valign="top" align="left">255.1&#x2009;&#x00B1;&#x2009;97.4<break/>268.0&#x2009;&#x00B1;&#x2009;94.7</td>
<td valign="top" align="left">0.62</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="center">Vandell et al. (<xref ref-type="bibr" rid="B103">103</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Trough levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs4149056</td>
<td valign="top" align="left">TT (83.8&#x0025;)<break/>CT/CC (16.2&#x0025;)</td>
<td valign="top" align="left">12.3&#x2009;&#x00B1;&#x2009;5.4<break/>11.6&#x2009;&#x00B1;&#x2009;4.8</td>
<td valign="top" align="left">0.61</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">NA</td>
<td valign="top" align="center">Vandell et al. (<xref ref-type="bibr" rid="B103">103</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="6">Dabigatran</td>
<td valign="top" align="left"><italic>ABCB1</italic></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Peak levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center">Major bleedings</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs1045642</td>
<td valign="top" align="left">CC (25&#x0025;)<break/>CT/TT (75&#x0025;)</td>
<td valign="top" align="left">124.1 (25th-75th, 79.9&#x2013;177.7)<break/>214.5 (25th-75th, 135.8&#x2013;294.4)</td>
<td valign="top" align="left">&#x003C;0.001<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">OR&#x003D;2.90<break/>(95&#x0025; CI: 1.17&#x2013;7.19)</td>
<td valign="top" align="left">0.022<xref ref-type="table-fn" rid="TF5">&#x002A;</xref></td>
<td valign="top" align="center">Sychev et al. (<xref ref-type="bibr" rid="B104">104</xref>)</td>
</tr>
<tr>
<td valign="top" align="left"><italic>CES1</italic></td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left">Trough levels</td>
<td valign="top" align="left"/>
<td valign="top" align="center">Minor bleedings</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">rs2244613</td>
<td valign="top" align="left">CC (38.4&#x0025;)<break/>CA/AA (61.6&#x0025;)</td>
<td valign="top" align="left">76.1&#x2009;&#x00B1;&#x2009;43.1<break/>82.0&#x2009;&#x00B1;&#x2009;35.0</td>
<td valign="top" align="left">&#x003C;0.001<xref ref-type="table-fn" rid="TF6">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">OR&#x003D;2.71<break/>(95&#x0025; CI: 1.05&#x2013;7.00)</td>
<td valign="top" align="left">0.034<xref ref-type="table-fn" rid="TF5">&#x002A;</xref></td>
<td valign="top" align="center">Ji et al. (<xref ref-type="bibr" rid="B105">105</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3"><p>DOACs, direct oral anticoagulants; <italic>ABCB1</italic>, ATP Binding Cassette Subfamily B Member 1; OR, odds ratio; 95&#x0025;CI, 95&#x0025; confidence interval; CRNMB, clinically relevant nonmajor bleeding; <italic>ABCG2</italic>, ATP Binding Cassette Subfamily G Member 2; <italic>CYP3A5</italic>, Cytochrome P450 Family 3 Subfamily A Member 5; <italic>SCLO1B1</italic>, Solute Carrier Organic Anion Transporter Family Member 1B1; <italic>CES1</italic>, Carboxylesterase 1; NA, not available.</p></fn>
<fn id="TF4"><label><sup>a</sup></label>
<p>Hemorrhage included major bleeding, clinical relevant nonmajor bleeding, and minor bleeding.</p></fn>
<fn id="TF5"><label>&#x002A;</label>
<p><italic>P</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
<fn id="TF6"><label>&#x002A;&#x002A;</label>
<p><italic>P</italic>&#x2009;&#x003C;&#x2009;0.01.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>While routine genotyping is not currently standard practice, pharmacogenomic information holds promise for personalizing DOAC therapy in high risk or complex colorectal surgical patients. For example, identifying a patient scheduled for total proctocolectomy who carries the ABCB1 rs1045642 CT/TT genotype might prompt a more cautious approach with rivaroxaban, with a longer preoperative interruption or preoperative anti-FXa monitoring. As evidence grows and testing becomes more accessible, integrating pharmacogenomics with clinical factors could refine risk prediction and optimize dosing, moving towards precision antithrombotic management.</p>
</sec>
<sec id="s8"><title>Genetic risk score for patients on DOACs</title>
<p>The development of genetic risk scores (GRSs) has emerged as a crucial step toward personalized anticoagulant therapy. By integrating multiple SNPs with or without clinical factors, GRSs aim to quantify an individual&#x0027;s genetic predisposition towards thrombotic or bleeding events, thereby refining risk stratification beyond clinical parameters alone. A series of studies has demonstrated that, by integrating SNPs with clinical factors, constructed models can be used to predict the risk of a first VTE in various populations (<xref ref-type="bibr" rid="B106">106</xref>&#x2013;<xref ref-type="bibr" rid="B109">109</xref>). However, predictive models for estimating thromboembolic events recurrence risk or evaluating bleeding risk are preferred, in order to guide DOAC therapy duration and optimize dosing regimens (<xref ref-type="bibr" rid="B110">110</xref>). Key examples of developed predictive models, including their constituent variables (clinical and genetic), modeling methods, and performance metrics are systematically summarized in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref> (<xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B111">111</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>). These models span different clinical targets: predicting VTE recurrence (e.g., DAMOVES score, L-TRRiP score) (<xref ref-type="bibr" rid="B111">111</xref>, <xref ref-type="bibr" rid="B113">113</xref>), predicting first VTE in cancer patients (e.g., TiC-Onco and ONCOTHROMB scores) (<xref ref-type="bibr" rid="B109">109</xref>, <xref ref-type="bibr" rid="B113">113</xref>), and most relevantly, predicting bleeding risk in patients treated with DOACs (<xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B114">114</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>). The studies on bleeding risk prediction in DOAC patients highlight the incremental value of adding genetic variants (e.g., ABCG2, ABCB1, SLCO1B1, RYR2) to clinical models, often improving the model&#x0027;s discriminative ability (<xref ref-type="bibr" rid="B102">102</xref>, <xref ref-type="bibr" rid="B114">114</xref>&#x2013;<xref ref-type="bibr" rid="B117">117</xref>).</p>
<table-wrap id="T3" position="float"><label>Table&#x00A0;3</label>
<caption><p>The development of genetic risk scores.</p></caption>
<table>
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="left"/>
<col align="center"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Ref.</th>
<th valign="top" align="left" rowspan="2">Model</th>
<th valign="top" align="left" colspan="2">Variables Included</th>
<th valign="top" align="left" rowspan="2">Model fitting method</th>
<th valign="top" align="center" rowspan="2">AUROC<break/>(95&#x0025; CI)</th>
<th valign="top" align="left" rowspan="2">Hosmer&#x2013;Lemeshow test</th>
</tr>
<tr>
<th valign="top" align="center">Clinical variables</th>
<th valign="top" align="center">Genetic variables</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Predict the risk of VTE recurrence</td>
</tr>
<tr>
<td valign="top" align="left">Franco Moreno et al. (<xref ref-type="bibr" rid="B111">111</xref>)</td>
<td valign="top" align="left">DAMOVES score</td>
<td valign="top" align="left">Age, sex, BMI, varicose veins, D-dimer, FVIII levels</td>
<td valign="top" align="left"><italic>F5</italic> rs6025<italic>, F2</italic> rs1799963</td>
<td valign="top" align="left">Cox regression</td>
<td valign="top" align="center">0.91<break/>(95&#x0025;CI is not shown)</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="left">Timp et al. (<xref ref-type="bibr" rid="B112">112</xref>)</td>
<td valign="top" align="left">L-TRRiP score</td>
<td valign="top" align="left">Sex, type and location of first VTE, surgery, pregnancy/puerperium, hormone use, plaster cast, immobility in bed, history of cardiovascular disease</td>
<td valign="top" align="left"><italic>F5</italic> rs6025<italic>, F2</italic> rs1799963,<break/><italic>ABO</italic> rs8176719,<break/><italic>FGG</italic> rs2066865,<break/><italic>F11</italic> rs2036914</td>
<td valign="top" align="left">Cox regression</td>
<td valign="top" align="center">0.70<break/>(0.68&#x2013;0.73)</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Predict the risk of first VTE</td>
</tr>
<tr>
<td valign="top" align="left">Mu&#x00F1;oz Mart&#x00ED;n et al. (<xref ref-type="bibr" rid="B113">113</xref>)</td>
<td valign="top" align="left">TiC-Onco score</td>
<td valign="top" align="left">BMI, family history, primary tumor site, tumor stage</td>
<td valign="top" align="left"><italic>SERPINA10</italic> rs2232698,<break/><italic>F5</italic> rs6025, <italic>F13A1</italic> rs5985,<break/><italic>F5</italic> rs4524</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="center">0.73<break/>(0.67&#x2013;0.79)</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="left">Mu&#x00F1;oz et al. (<xref ref-type="bibr" rid="B109">109</xref>)</td>
<td valign="top" align="left">ONCOTHROMB score</td>
<td valign="top" align="left">BMI, tumor site, tumor stage</td>
<td valign="top" align="left"><italic>F5</italic> rs4524, <italic>F5</italic> rs6025, <italic>SERPINA10</italic> rs2232698, <italic>SERPINE1</italic> rs2227631,<break/><italic>LPL</italic> rs268, <italic>HIVEP1</italic> rs169713, <italic>RSPO4</italic> rs11696364,<break/><italic>APOA4</italic> rs5110, <italic>F13B</italic> rs6003</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="center">0.781<break/>(0.735&#x2013;0.822)</td>
<td valign="top" align="left">NA</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#d9d9d9" colspan="7">Predict the risk of bleeding in patients treated with DOACs</td>
</tr>
<tr>
<td valign="top" align="left">Yoon et al. (<xref ref-type="bibr" rid="B114">114</xref>)</td>
<td valign="top" align="left">Model &#x2161;</td>
<td valign="top" align="left">Sex, age, overdose, rivaroxaban, anemia</td>
<td valign="top" align="left"><italic>ABCB1</italic> rs3842, <italic>APOB</italic> rs693, <italic>APOB</italic> rs13306198</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="center">0.72<break/>(0.65&#x2013;0.80)</td>
<td valign="top" align="left"><italic>&#x03C7;</italic><sup>2</sup>&#x2009;&#x003D;&#x2009;0.63<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.73</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2">Kim et al. (<xref ref-type="bibr" rid="B115">115</xref>)</td>
<td valign="top" align="left">Model &#x2160;</td>
<td valign="top" align="left">History of bleeding, concurrent use of PPI</td>
<td valign="top" align="left"><italic>ABCG2</italic> rs3114018,<break/><italic>ABCB1</italic> rs1045642</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="center">-</td>
<td valign="top" align="left">&#x03C7;<sup>2</sup>&#x2009;&#x003D;&#x2009;5.121<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.163</td>
</tr>
<tr>
<td valign="top" align="left">Model &#x2161;</td>
<td valign="top" align="left">Modified HAS-BLED score, concurrent use of PPI</td>
<td valign="top" align="left"><italic>ABCG2</italic> rs3114018,<break/><italic>ABCB1</italic> rs1045642</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="left">-</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup>&#x2009;&#x003D;&#x2009;4.947<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.763</td>
</tr>
<tr>
<td valign="top" align="left" rowspan="4">Han et al. (<xref ref-type="bibr" rid="B102">102</xref>)</td>
<td valign="top" align="left">Model &#x2160;</td>
<td valign="top" align="left">Sex, age, prescription dose</td>
<td valign="top" align="left"><italic>ABCB1</italic> rs3842,<break/><italic>SLCO1B1</italic> rs999278,<break/><italic>SLCO1B1</italic> rs2306283, <italic>SLCO1B1</italic> rs4149056, <italic>SLCO1B1</italic> rs2417957</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="center">0.79<break/>(0.67&#x2013;0.91)</td>
<td valign="top" align="left">&#x03C7;<sup>2</sup>&#x2009;&#x003D;&#x2009;0.11<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.991</td>
</tr>
<tr>
<td valign="top" align="left">Model &#x2161;</td>
<td valign="top" align="left">Sex, age, prescription dose</td>
<td valign="top" align="left"><italic>ABCB1</italic> rs3842,<break/><italic>SLCO1B1</italic> rs4149057, <italic>SLCO1B1</italic> rs2306283, <italic>SLCO1B1</italic> rs4149056, <italic>SLCO1B1</italic> rs2417957</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="left">0.78<break/>(0.65&#x2013;0.91)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup>&#x2009;&#x003D;&#x2009;2.34<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.674</td>
</tr>
<tr>
<td valign="top" align="left">Model &#x2162;</td>
<td valign="top" align="left">Sex, age, prescription dose</td>
<td valign="top" align="left"><italic>ABCB1</italic> rs3842,<break/><italic>SLCO1B1</italic> rs999278,<break/><italic>SLCO1B1</italic> rs2417957, <italic>SLCO1B1</italic>&#x002A;15</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="left">0.78<break/>(0.64&#x2013;0.91)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup>&#x2009;&#x003D;&#x2009;2.43<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.657</td>
</tr>
<tr>
<td valign="top" align="left">Model &#x2163;</td>
<td valign="top" align="left">Sex, age, prescription dose</td>
<td valign="top" align="left"><italic>ABCB1</italic> rs3842,<break/><italic>SLCO1B1</italic> rs4149057, <italic>SLCO1B1</italic> rs2417957, <italic>SLCO1B1</italic>&#x002A;15</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="left">0.78<break/>(0.65&#x2013;0.91)</td>
<td valign="top" align="center">&#x03C7;<sup>2</sup>&#x2009;&#x003D;&#x2009;2.32<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.677</td>
</tr>
<tr>
<td valign="top" align="left">Jang et al. (<xref ref-type="bibr" rid="B116">116</xref>)</td>
<td valign="top" align="left">Model &#x2161;</td>
<td valign="top" align="left">Age, sex, overdose, rivaroxaban, anemia, creatinine clearance</td>
<td valign="top" align="left"><italic>ABCB1</italic> rs3842,<break/><italic>RYR2</italic> rs10925391,<break/><italic>RYR2</italic> rs12594,<break/><italic>RYR2</italic> rs17682073,<break/><italic>RYR2</italic> rs3766871,<break/><italic>RYR2</italic> rs6678625</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="center">0.803<break/>(0.735&#x2013;0.871)</td>
<td valign="top" align="left">&#x03C7;2&#x2009;&#x003D;&#x2009;4.950<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.550</td>
</tr>
<tr>
<td valign="top" align="left">Yee et al. (<xref ref-type="bibr" rid="B117">117</xref>)</td>
<td valign="top" align="left">Model &#x2160;</td>
<td valign="top" align="left">Age, creatinine clearance</td>
<td valign="top" align="left"><italic>AGT</italic> rs5050, <italic>ACE</italic> rs4353</td>
<td valign="top" align="left">Logistic regression</td>
<td valign="top" align="center">0.738<break/>(0.649&#x2013;0.826)</td>
<td valign="top" align="left">&#x03C7;<sup>2</sup>&#x2009;&#x003D;&#x2009;2.388<break/><italic>P</italic>&#x2009;&#x003D;&#x2009;0.935</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF7"><p>BMI, body mass index; AUROC, the area under the receiver operating characteristic curve; 95&#x0025; CI, 95&#x0025; confidence interval; VTE, venous thromboembolism; <italic>ABCB1</italic>, ATP binding cassette subfamily B member 1; <italic>APOB</italic>, apolipoprotein B; TIA, transient ischemic attack; PPI, proton pump inhibitor; <italic>ABCG2</italic>, ATP Binding Cassette Subfamily G Member 2; <italic>SLCO1B1</italic>, solute carrier organic anion transporter family member 1B1; <italic>RYR2</italic>, ryanodine receptor 2; <italic>AGT</italic>, angiotensinogen; <italic>ACE</italic>, angiotensin I-converting enzyme.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>For the perioperative management of colorectal surgical patients on DOACs, especially those with IBD, frailty, or renal impairment, the incorporation of the GRS may serve as a valuable instrument for enhancing individualized decision-making. These high-risk populations often present with complex and competing risks of thrombosis and bleeding, which may not be fully captured by clinical scores alone. A validated GRS could complement existing risk assessments by quantifying a patients&#x0027; inherent genetic predisposition toward bleeding or thrombotic events. For example, in IBD patients with active mucosal inflammation who plan to undergo colectomy, a GRS indicating elevated bleeding risk might support extending the preoperative DOAC interruption window or guiding postoperative resumption timing. Similarly, in frail patients or those with renal impairment, GRS data could help personalize the duration of anticoagulation interruption and inform dose adjustment upon resumption, thereby balancing proceducal safety with ongoing thromboembolic protection.</p>
</sec>
<sec id="s9"><title>Regional variations in anticoagulation management in surgical patients</title>
<p>The management of anticoagulation in surgical patients exhibits notable differences between continental China and the Western world, shaped by distinct epidemiological patterns, genetic backgrounds, and clinical practices. The incidence of VTE among cancer surgical patients is significantly lower in China (1.85&#x2013;9.88 per 1,000 person-years) compared to Western cohorts (e.g., up to 58 per 1,000 person-years in the UK) (<xref ref-type="bibr" rid="B118">118</xref>, <xref ref-type="bibr" rid="B119">119</xref>). Even in high-risk surgical settings such as colorectal cancer surgery, the reported VTE rate within one month postoperatively is 11.2&#x0025; in China, with a majority being asymptomatic, whereas Western data often reflect higher symptomatic rates (<xref ref-type="bibr" rid="B27">27</xref>). This lower observed burden may be attributed to the absence of common thrombophilic mutations (e.g., Factor V Leiden, prothrombin G20210A) in Asian populations, alongside lifestyle factors such as lower obesity rates and traditional diets (<xref ref-type="bibr" rid="B120">120</xref>). However, potential under diagnosis in Asia due to lower clinical suspicion and limited routine screening may also contribute to the reported disparity (<xref ref-type="bibr" rid="B121">121</xref>).</p>
<p>Bleeding risks under anticoagulation also revealed regional differences. Chinese patients demonstrate higher susceptibility to bleeding with vitamin K antagonists (VKAs), largely due to pharmacogenetic variants such as VKORC1 (<xref ref-type="bibr" rid="B122">122</xref>). However, real-world data suggest that DOACs, particularly apixaban, are associated with a lower risk of gastrointestinal bleeding in Asian patients (<xref ref-type="bibr" rid="B123">123</xref>). Clinical practices further underscore these regional disparities. Thromboprophylaxis is underutilized in China, with surveys indicating that a significant proportion of surgeons do not routinely administer it (<xref ref-type="bibr" rid="B124">124</xref>).</p>
<p>These disparities highlight the critical need for tailored, region-specific anticoagulation strategies that carefully balance thromboprophylaxis efficacy against bleeding risks, integrating genetic, environmental, and healthcare system factors into clinical decision-making.</p>
</sec>
<sec id="s10"><title>Future perspectives</title>
<p>The future of perioperative management of colorectal surgical patients receiving DOACs lies in addressing the increased risk of major bleeding, particularly in patients undergoing high bleeding risk procedures. Assessing residual DOAC levels in patients with high risk factor (e.g., renal insufficiency) at the time of invasive procedures and their correlation with bleeding events will provide valuable insights. Exploring genetic factors that influence the risk of recurrent VTE or bleeding events during DOACs treatment will allow for more tailored and effective anticoagulant management. However, current genetic research is predominantly based on European populations, limiting its applicability to other ethnic backgrounds (<xref ref-type="bibr" rid="B111">111</xref>). Specifically, future directions should include: (1) Prospective randomized trials directly comparing different DOACs management strategies (e.g., standardized vs. personalized interruption) in colorectal surgery; (2) Development and validation of integrated risk prediction models that combine clinical, surgical, laboratory, and genetic data for both VTE and bleeding; (3) Cost-effectiveness analyses of routine perioperative DOAC level monitoring and pharmacogenomic testing in high risk subgroups; (4) Multicenter studies in Asian and other underrepresented populations to define enthnicity-specific pharmacogenomic profiles and management algorithms.</p>
</sec>
<sec id="s11" sec-type="conclusions"><title>Conclusion</title>
<p>This review highlights the complexity of managing colorectal surgical patients receiving DOACs. The variable risks of VTE and bleeding necessitate an individualized approach that considers patient-specific factors, such as renal function, drug plasma levels, and timing of anticoagulant interruption and resumption. A PK-based strategy, which tailors the preoperative and postoperative management to minimize residual DOAC effects, appears critical for improving outcomes. Moreover, emerging pharmacogenomic insights show promise in refining risk prediction and guiding personalized dosing regimens. Future research should aim to elucidate the genetic factors affecting DOAC metabolism and response, particularly in diverse populations, and to validate innovative laboratory methods for monitoring anticoagulant activity. Integrating clinical, pharmacologic, and genetic data will be essential in developing more effective, evidence-based strategies to reduce adverse events and optimize the perioperative care of these patients.</p>
</sec>
</body>
<back>
<sec id="s12" sec-type="author-contributions"><title>Author contributions</title>
<p>JM: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. LQ: Resources, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. MG: Resources, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. JX: Project administration, Resources, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. XL: Project administration, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. ZL: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>The authors thank MedE Editing Service (<ext-link ext-link-type="uri" xlink:href="https://www.meditorexpert.com">https://www.meditorexpert.com</ext-link>) for the English language editing and review services.</p>
</ack>
<sec id="s14" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s15" sec-type="ai-statement"><title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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 id="s16" sec-type="disclaimer"><title>Publisher&#x0027;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>
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<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/538412/overview">Rodrigo Assar</ext-link>, University of Chile, Chile</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/517519/overview">Thomas Pierre Lecompte</ext-link>, Universit&#x00E9; de Lorraine, France</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/320077/overview">Robert Jeenchen Chen</ext-link>, Stanford University, United States</p></fn>
</fn-group>
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