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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">867490</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2022.867490</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Implementation of <italic>HLA-B&#x2a;15:02</italic> Genotyping as Standard-of-Care for Reducing Carbamazepine/Oxcarbazepine Induced Cutaneous Adverse Drug Reactions in Thailand</article-title>
<alt-title alt-title-type="left-running-head">Tiwattanon et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<italic>HLA-B&#x2a;15:02</italic> Genotyping as Standard-of-Care in Thailand</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Tiwattanon</surname>
<given-names>Kanyawan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1710121/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>John</surname>
<given-names>Shobana</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1594470/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Koomdee</surname>
<given-names>Napatrupron</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1659834/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jinda</surname>
<given-names>Pimonpan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rachanakul</surname>
<given-names>Jiratha</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jantararoungtong</surname>
<given-names>Thawinee</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nuntharadthanaphong</surname>
<given-names>Nutthan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kloypan</surname>
<given-names>Chiraphat</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1684784/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Biswas</surname>
<given-names>Mohitosh</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/643124/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Boongird</surname>
<given-names>Apisit</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1711733/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sukasem</surname>
<given-names>Chonlaphat</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/191903/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Division of Neurology</institution>, <institution>Department of Medicine</institution>, <institution>Faculty of Medicine Ramathibodi Hospital Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Division of Pharmacogenomics and Personalized Medicine</institution>, <institution>Department of Pathology</institution>, <institution>Faculty of Medicine Ramathibodi Hospital</institution>, <institution>Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Laboratory for Pharmacogenomics</institution>, <institution>Somdech Phra Debaratana Medical Center (SDMC)</institution>, <institution>Ramathibodi Hospital</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Unit of Excellence in Integrative Molecular Biomedicine</institution>, <institution>School of Allied Health Sciences</institution>, <institution>University of Phayao</institution>, <addr-line>Phayao</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Division of Clinical Immunology and Transfusion Science</institution>, <institution>Department of Medical Technology</institution>, <institution>School of Allied Health Sciences</institution>, <institution>University of Phayao</institution>, <addr-line>Phayao</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Pharmacy</institution>, <institution>University of Rajshahi</institution>, <addr-line>Rajshahi</addr-line>, <country>Bangladesh</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Ramathibodi Multidisciplinary Center (RMEC)</institution>, <institution>Faculty of Medicine Ramathibodi Hospital</institution>, <institution>Mahidol University</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Pharmacogenomics and Precision Medicine Clinic</institution>, <institution>The Preventive Genomics and Family Check-up Services Center</institution>, <institution>Bumrungrad International Hospital</institution>, <addr-line>Bangkok</addr-line>, <country>Thailand</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>MRC Centre for Drug Safety Science</institution>, <institution>Department of Pharmacology and Therapeutics</institution>, <institution>Institute of Systems, Molecular and Integrative Biology</institution>, <institution>University of Liverpool</institution>, <addr-line>Liverpool</addr-line>, <country>United Kingdom</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/589154/overview">Maxine Deborah Gossell-Williams</ext-link>, University of the West Indies, Jamaica</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1233547/overview">Chuang-Wei Wang</ext-link>, Linkou Chang Gung Memorial Hospital, Taiwan</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/538589/overview">Kurt Neumann</ext-link>, Independent Researcher, Ker&#xe9;kteleki, Hungary</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Napatrupron Koomdee, <email>napatruporn.kom@mahidol.ac.th</email>; Apisit Boongird, <email>apisit.bon@mahidol.ac.th</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Drugs Outcomes Research and Policies, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>07</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>867490</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Tiwattanon, John, Koomdee, Jinda, Rachanakul, Jantararoungtong, Nuntharadthanaphong, Kloypan, Biswas, Boongird and Sukasem.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Tiwattanon, John, Koomdee, Jinda, Rachanakul, Jantararoungtong, Nuntharadthanaphong, Kloypan, Biswas, Boongird and Sukasem</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objective:</bold> This study aimed to investigate the clinical impact of <italic>HLA-B&#x2a;15:02</italic> pharmacogenomics (PGx) testing before carbamazepine (CBZ)/oxcarbazepine (OXC) prescriptions and to determine whether this PGx testing was associated with the reduction of CBZ/OXC-induced cutaneous adverse drug reactions (CADRs) in Thailand.</p>
<p>
<bold>Methods:</bold> This retrospective observational cohort study was conducted by obtaining relevant <italic>HLA-B&#x2a;15:02</italic> PGx-testing and clinical data from electronic medical records during 2011&#x2013;2020. 384 patient data were included in this study to investigate the clinical decision on CBZ/OXC usage before and after the <italic>HLA-B&#x2a;15:02</italic> PGx testing, and 1,539 patient data were included in this study to demonstrate the incidence of CBZ/OXC-induced SCARs and SJS between <italic>HLA-B&#x2a;15:02</italic> tested and non-tested patients. To analyze and summarize the results, descriptive statistics were employed, and Fisher exact test was used to compare the clinical difference between the <italic>HLA-B&#x2a;15:02</italic> positive and negative groups and to compare the differences of SCARs incidence.</p>
<p>
<bold>Results:</bold> 384 patients were included in this study as per the inclusion criteria. Of these, 70 patients carried <italic>HLA-B&#x2a;15:02,</italic> of which 63 and 65 patients were not prescribed with CBZ/OXC before and after the availability of genotyping results, respectively. In the remaining <italic>HLA-B&#x2a;15:02</italic> non-carriers, 48, and 189 patients were prescribed CBZ/OXC before and after genotyping results were available, respectively. The findings of this study showed that the incidence of SCARs of CBZ/OXC was significantly lower (<italic>p</italic> &#x3c; 0.001) in the <italic>HLA-B&#x2a;15:02</italic> screening arm than in the non-screening arm.</p>
<p>
<bold>Conclusion:</bold> <italic>HLA-B</italic> pharmacogenetics testing influenced the selection of appropriate AEDs. The presence of mild rash in the <italic>HLA-B&#x2a;15:02</italic> negative group indicates that other genetic biomarker (<italic>HLA-A&#x2a;31:01</italic>) and/or non-genetic variables are involved in CBZ/OXC-induced CADRs, emphasizing that CBZ/OXC prescriptions necessitate CADR monitoring. The hospital policy and clinical decision support (CDS) alert system is essential to overcome the barriers associated with the utilization of PGx guidelines into clinical practice.</p>
</abstract>
<kwd-group>
<kwd>carbamazepine</kwd>
<kwd>
<italic>HLA-B</italic> risk alleles</kwd>
<kwd>pharmacogenomics</kwd>
<kwd>cutaneous adverse drug reactions</kwd>
<kwd>precision medicine</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Carbamazepine (CBZ) is a first-generation antiepileptic drugs (AEDs) used to treat a variety of neurological and psychiatric problems, including epilepsy, trigeminal neuralgia, and bipolar disorders. In Thais, there has been a well-documented association between <italic>HLA-B&#x2a;15:02</italic> and CBZ-induced Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) (<xref ref-type="bibr" rid="B13">Hung et al., 2006</xref>; <xref ref-type="bibr" rid="B20">Locharernkul et al., 2008</xref>; <xref ref-type="bibr" rid="B36">Tassaneeyakul et al., 2010</xref>; <xref ref-type="bibr" rid="B35">Tangamornsuksan et al., 2013</xref>; <xref ref-type="bibr" rid="B30">Sukasem et al., 2018</xref>; <xref ref-type="bibr" rid="B33">Sukasem et al., 2021b</xref>). In 2013, the government launched a policy requiring <italic>HLA-B&#x2a;15:02</italic> pharmacogenetic (PGx) testing before the start of CBZ in Bangkok as a pilot study (<xref ref-type="bibr" rid="B10">Department of Medical Sciences, 2013</xref>). Subsequently, national policy screening for <italic>HLA-B&#x2a;15:02</italic> was reinforced by the National Health Security Office (NHSO) in 2018 throughout Thailand (<xref ref-type="bibr" rid="B4">Ang et al., 2017</xref>; <xref ref-type="bibr" rid="B6">Chang et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Sukasem et al., 2021a</xref>; <xref ref-type="bibr" rid="B14">Jantararoungtong et al., 2021</xref>). Besides <italic>HLA-B&#x2a;15:02</italic>, some other variants such as <italic>HLA-B&#x2a;15:08</italic>, <italic>HLA-B&#x2a;15:11</italic> and <italic>HLA-B&#x2a;15:21</italic> may also affect the safety of CBZ and found to be other <italic>HLA-B</italic> risk <italic>alleles</italic> associated with CBZ-induced cutaneous adverse drug reactions (CADRs) (<xref ref-type="bibr" rid="B15">Jaruthamsophon et al., 2017</xref>; <xref ref-type="bibr" rid="B39">Volpi et al., 2018</xref>; <xref ref-type="bibr" rid="B17">Kloypan et al., 2021</xref>).</p>
<p>In addition, Chen et al. reported a strong association between the <italic>HLA-B&#x2a;15:02</italic> allele and oxcarbazepine (OXC)-induced SJS/TEN in Chinese and Thai populations (<xref ref-type="bibr" rid="B7">Chen et al., 2017</xref>). Consequently, the Clinical Pharmacogenetics Implementation Consortium (CPIC) guideline recommended to avoid the prescription of CBZ and OXC in <italic>HLA-B&#x2a;15:02</italic> carrier (<xref ref-type="bibr" rid="B24">Phillips et al., 2018</xref>).</p>
<p>Although knowledge and research on PGx testing in Thailand have been rapidly expanding in recent years (<xref ref-type="bibr" rid="B15">Jaruthamsophon et al., 2017</xref>), there has been no longitudinal research on the application of <italic>HLA-B&#x2a;15:02</italic> genotype results in daily clinical practice, including documentation of severe cutaneous adverse drug reactions (SCARs) and new adverse drug reactions (ADRs) in electronic medical records, patterns of AEDs prescriptions based on genotype results, and assessment of the CADRs. This is the first research of its kind in Thailand, and it focuses on these fascinating topics.</p>
<p>The goal of this study was to investigate how PGx testing (<italic>HLA-B&#x2a;15:02</italic>) affected the CBZ/OXC prescriptions and the reduction of CBZ/OXC-induced SCARs in Thais. The findings of this study have the potential to help physicians regarding the prescription of appropriate AEDs in clinical practice for those patients carrying <italic>HLA-B&#x2a;15:02</italic> CBZ/OXC-risk alleles and to support NHSO Thailand&#x2019;s <italic>HLA-B&#x2a;15:02</italic> screening as the national policy.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methodology</title>
<sec id="s2-1">
<title>Study Population</title>
<p>This was a retrospective cohort study conducted at the Ramathibodi Hospital of the Faculty of Medicine. In order to determine the influence of <italic>HLA-B&#x2a;15:02</italic> PGx testing in clinical practice, 1,020 patients with performed <italic>HLA-B&#x2a;15:02</italic> PGx testing between 2011 and 2020 were included. Among 1,020 patients, 636 patients were excluded due to incomplete data (n &#x3d; 266), PGx tested for other AEDs (n &#x3d; 51), repeated PGx order (n &#x3d; 53), and less than 15 years of age (n &#x3d; 266) (<xref ref-type="fig" rid="F1">Figure 1</xref>). This study did not include <italic>HLA-B</italic> genotyping that was performed to test the association of drug induced CADRs. Subsequently, 384 patients were enrolled for analysis. Patients&#x2019; demographic information, such as age, gender, diagnosis, and drug-related information, such as the number of CBZ prescriptions and their association to <italic>HLA-B&#x2a;15:02</italic> genotyping results, CADRs types, drug allergic history, PGx testing, number of comorbidities, types of comorbidities, and alternative drugs utilized were recorded. All CADRs were diagnosed and confirmed by a dermatologist at Ramathibodi Hospital in Thailand.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>The flowchart of patients recruitment and clinical decision in <italic>HLA-B&#x2a;15:02</italic> positive (n &#x3d; 70) and <italic>HLA-B&#x2a;15:02</italic> negative (n &#x3d; 314) in Ramathibodi Hospital, Bangkok.</p>
</caption>
<graphic xlink:href="fphar-13-867490-g001.tif"/>
</fig>
<p>To demonstrate how prospective <italic>HLA-B&#x2a;15:02</italic> testing likely reduces the occurrence of hypersensitivity reactions to CBZ/OXC, we recruited 1,539 patients data who were prescribed CBZ/OXC for a period of 2013&#x2013;2021 and further classified them as tested for <italic>HLA-B&#x2a;15:02</italic> group or not tested for <italic>HLA-B&#x2a;15:02</italic> group. We retrospectively collected CBZ/OXC prescribing data, <italic>HLA-B&#x2a;15:02</italic> testing data, and SCARs occurrence data for this part of the study.</p>
<p>To exemplify the overall trend of <italic>HLA-B&#x2a;15:02</italic> testing requests within and outside of Ramathibodi Hospital, we collected overall <italic>HLA-B&#x2a;15:02</italic> PGx testing for CBZ/OXC that was performed during 2011&#x2013;2020 and presented them in percentage as per year (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Trend of <italic>HLA-B&#x2a;15:02</italic> testing requested by out-side [n &#x3d; 5,191; <bold>(A)</bold>] and in-side [n &#x3d; 1,020; <bold>(B)</bold>] of Ramathibodi Hospital (19.64%) during 2011&#x2013;2020.</p>
</caption>
<graphic xlink:href="fphar-13-867490-g002.tif"/>
</fig>
<p>The studies involving human participants were reviewed and approved by the Ethical Review Committee on Research Involving Human Subjects, Faculty of Medicine Ramathibodi Hospital, Mahidol University. The patients provided written informed consent to participate in this study.</p>
</sec>
<sec>
<title>
<italic>HLA-B</italic> genotyping</title>
<p>Genomic DNA samples were isolated from EDTA blood, using the MagNAprue Compact Nucleic Acid Isolation kits (Roche Applied Science, Mannheim, Germany). The quality of genomic DNA was measured by NanoDrop<sup>&#xae;</sup> ND-1000 (Thermo Scientific, Wilmington, United States). <italic>HLA-B</italic> alleles were analyzed by the polymerase chain reaction-sequence specific oligonucleotide probe (PCR-SSOP) assay and Luminex&#x2122; Multiplex Technology with well established protocols.</p>
<p>In brief, the DNA sample obtained from patients was amplified by polymerase chain reaction (PCR). The PCR product was then hybridized against a panel of sequence specific oligonucleotide probes on coated polystyrene microspheres that had sequences complementary to stretches of polymorphism within the target <italic>HLA-B.</italic> The amplicon-probe complex was then visualized using a colorimetric reaction and fluorescence detection technology by the Luminex&#xae;IS 100 system (Luminex Corporation, Austin, Texas, United States). Analysis of the <italic>HLA</italic> class I alleles were performed using HLA fusion software version 2.0 (One Lambda, Canoga Park, CA, United States). For each allele, the results were reported as either <italic>HLA-B&#x2a;15:02</italic> positive or negative.</p>
</sec>
<sec>
<title>Data Analysis</title>
<p>Descriptive statistics were employed to summarize and analyze the collected data. The Fisher exact test was used to compare the clinical characteristics of the <italic>HLA-B&#x2a;15:02</italic> positive (positive group) and <italic>HLA-B&#x2a;15:02</italic> negative (negative group) and to calculate the difference of the SCARs incidence between the <italic>HLA-B&#x2a;15:02</italic> tested group and non-tested groups.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Patients Characteristics, Diagnosis, Comorbidities, Adverse Drug Reactions (ADRs), Drug Allergy</title>
<p>Out of 1,020 patients undertaking <italic>HLA-B&#x2a;15:02</italic> genotyping tests during 2011&#x2013;2020, only 384 patients were included as per the inclusion criteria in this study (<xref ref-type="fig" rid="F1">Figure 1</xref>). Incomplete data (n &#x3d; 266), tested for other AEDs (n &#x3d; 51), Patients&#x2019; data under the age of 15 (n &#x3d; 266), and repeatedly requested data (n &#x3d; 53) were excluded from this study. Our study population consists of 243 (63.28%) females and 141 (36.72%) males. The age range of this population was 15&#x2013;95, with a mean age of 49.23 &#xb1; 19.79 (SD). Out of 384 patients, 112 (29.16%) were diagnosed with different types of epilepsy. The second most common disease for the CBZ indication was trigeminal neuralgia (n &#x3d; 95, 24.74%). Neuropathic pain (n &#x3d; 64, 16.67%), hemifacial spasm (n &#x3d; 14, 3.65%), tonic spasm (n &#x3d; 13, 3.39%), and bipolar disorder (n &#x3d; 23, 5.99%) were the other commonly diagnosed diseases for which CBZ was prescribed in this study. Sixty-three cases were in miscellaneous categories (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Patients characteristics, diagnosis, comorbidities, adverse drug reactions (ADRs), drug allergy.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameter</th>
<th align="center">Total</th>
<th align="center">
<italic>HLA-B&#x002A;15:02</italic> Positive</th>
<th align="center">
<italic>HLA-B&#x002A;15:02</italic> Negative</th>
<th align="center">p-value<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Number of Patients (%)</td>
<td align="center">384</td>
<td align="center">70 (18.23)</td>
<td align="center">314 (81.77)</td>
<td align="left"/>
</tr>
<tr>
<td colspan="5" align="left">&#x2003;Age (year)</td>
</tr>
<tr>
<td align="left">Range</td>
<td align="center">15&#x2013;95</td>
<td align="center">15&#x2013;94</td>
<td align="center">15&#x2013;95</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Mean&#xb1;SD</td>
<td align="center">49.23 &#xb1; 19.79</td>
<td align="center">46.34 &#xb1; 20.25</td>
<td align="center">49.89 &#xb1; 19.66</td>
<td align="center">-</td>
</tr>
<tr>
<td colspan="5" align="left">&#x2003;Gender (%)</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">141 (36.72)</td>
<td align="center">32 (45.71)</td>
<td align="center">109 (34.71)</td>
<td align="char" char=".">&#x3c;0.0001<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Female</td>
<td align="center">243 (63.28)</td>
<td align="center">38 (54.29)</td>
<td align="center">205 (62.29)</td>
<td align="left"/>
</tr>
<tr>
<td colspan="5" align="left">&#x2003;Diagnosis (%)</td>
</tr>
<tr>
<td align="left">Epilepsy</td>
<td align="center">112 (29.16)</td>
<td align="center">20 (28.57)</td>
<td align="center">92 (29.30)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Trigeminal Neuralgia</td>
<td align="center">95 (24.74)</td>
<td align="center">18 (25.71)</td>
<td align="center">77 (24.52)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Neuropathic pain</td>
<td align="center">64 (16.67)</td>
<td align="center">14 (20.0)</td>
<td align="center">50 (15.92)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Hemifacial spasm</td>
<td align="center">14 (3.65)</td>
<td align="center">0</td>
<td align="center">14 (4.46)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Tonic spasm</td>
<td align="center">13 (3.39)</td>
<td align="center">1 (1.43)</td>
<td align="center">12 (3.82)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Bipolar disorder</td>
<td align="center">23 (5.99)</td>
<td align="center">4 (5.71)</td>
<td align="center">19 (6.05)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Miscellaneous</td>
<td align="center">63 (16.40)</td>
<td align="center">13 (18.57)</td>
<td align="center">50 (15.92)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;CBZ/OXC Dosage (mg)</td>
<td align="center">CBZ50-800/OXC300-600</td>
<td align="center">CBZ200-800/OXC300-600</td>
<td align="center">CBZ 50&#x2013;800/OXC300-600</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;ADR History (%)</td>
<td align="center">140 (36.46)</td>
<td align="center">33 (47.14)</td>
<td align="center">107 (34.08)</td>
<td align="char" char=".">0.05</td>
</tr>
<tr>
<td colspan="5" align="left">&#x2003;&#x2003;CADRs and Non CADRs (%)</td>
</tr>
<tr>
<td align="left">CADRs</td>
<td align="center">71 (18.49)</td>
<td align="center">18 (25.71)</td>
<td align="center">53 (16.88)</td>
<td align="char" char=".">0.09</td>
</tr>
<tr>
<td align="left">Non-CADRs</td>
<td align="center">69 (17.97)</td>
<td align="center">15 (21.43)</td>
<td align="center">54 (17.20)</td>
<td align="center">-</td>
</tr>
<tr>
<td colspan="5" align="left">&#x2003;&#x2003;CBZ/OXC prescription (%)</td>
</tr>
<tr>
<td align="left">Prescribed</td>
<td align="center">194 (50.52)</td>
<td align="center">5 (7.14)</td>
<td align="center">189 (60.19)</td>
<td align="char" char=".">&#x3c;0.0001</td>
</tr>
<tr>
<td align="left">Not prescribed</td>
<td align="center">190 (49.48)</td>
<td align="center">65 (92.86)</td>
<td align="center">125 (39.81)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Comorbidities (%)</td>
<td align="center">108 (28.12)</td>
<td align="center">17 (24.29)</td>
<td align="center">91 (28.98)</td>
<td align="char" char=".">0.46</td>
</tr>
<tr>
<td colspan="5" align="left">&#x2003;&#x2003;Types of Comorbidities (%)</td>
</tr>
<tr>
<td align="left">SLE</td>
<td align="center">9 (2.34)</td>
<td align="center">3 (4.29)</td>
<td align="center">6 (1.91)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">RA</td>
<td align="center">3 (0.78)</td>
<td align="center">2 (2.86)</td>
<td align="center">1 (0.31)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">CA</td>
<td align="center">15 (3.90)</td>
<td align="center">3 (4.29)</td>
<td align="center">12 (3.82)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">HIV</td>
<td align="center">4 (1.04)</td>
<td align="center">1 (1.43)</td>
<td align="center">3 (0.96)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">DM</td>
<td align="center">9 (2.34)</td>
<td align="center">2 (2.86)</td>
<td align="center">7 (2.23)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">CNS infections</td>
<td align="center">6 (1.56)</td>
<td align="center">1 (1.43)</td>
<td align="center">5 (1.59)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Thyroid</td>
<td align="center">6 (1.56)</td>
<td align="center">1 (1.43)</td>
<td align="center">5 (1.59)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Others</td>
<td align="center">56 (14.58)</td>
<td align="center">4 (5.71)</td>
<td align="center">52 (16.56)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Past Drug Allergy (%)</td>
<td align="center">140 (36.46)</td>
<td align="center">33 (47.14)</td>
<td align="center">107 (34.08)</td>
<td align="char" char=".">0.05</td>
</tr>
<tr>
<td align="left">Other AEDs</td>
<td align="center">48 (12.50)</td>
<td align="center">13 (18.57)</td>
<td align="center">35 (11.15)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Other Drugs</td>
<td align="center">92 (23.96)</td>
<td align="center">20 (28.57)</td>
<td align="center">72 (22.93)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Past PGx testing (%)</td>
<td align="center">40 (10.42)</td>
<td align="center">4 (5.71)</td>
<td align="center">36 (11.46)</td>
<td align="char" char=".">0.06</td>
</tr>
<tr>
<td align="left">
<italic>B&#x2a;13:01</italic>
</td>
<td align="center">14 (3.65)</td>
<td align="center">1 (1.43)</td>
<td align="center">13 (4.14)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">
<italic>B&#x2a;57:01</italic>
</td>
<td align="center">2 (0.52)</td>
<td align="center">1 (1.43)</td>
<td align="center">1<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">
<italic>B&#x2a;58:01</italic>
</td>
<td align="center">16 (4.17)</td>
<td align="center">1 (1.43)</td>
<td align="center">15 (4.78)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">
<italic>B&#x2a;35:05</italic>
</td>
<td align="center">9 (2.34)</td>
<td align="center">1 (1.43)</td>
<td align="center">8 (2.55)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Number of CADRs in CBZ/OXC used (%)</td>
<td align="center">21 (5.47)</td>
<td align="center">0</td>
<td align="center">21 (6.69)</td>
<td align="char" char=".">0.01</td>
</tr>
<tr>
<td align="left">Mild</td>
<td align="center">19 (4.95)</td>
<td align="center">0</td>
<td align="center">19 (6.05)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Severe</td>
<td align="center">2 (0.52)</td>
<td align="center">0</td>
<td align="center">2 (0.64)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">&#x2003;Number of non-CADRs in CBZ/OXC used (%)</td>
<td align="center">22 (5.73)</td>
<td align="center">0</td>
<td align="center">22 (7.01)</td>
<td align="char" char=".">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CBZ, Carbamazepine; OXC, Oxcarbazepine; RA, Rheumatoid arthritis; HIV, Human immunodeficiency virus; SLE, Systemic Lupus Erythromatous; CA, Carcinoma; DM, Diabetes Mellitus; ADR, Adverse drug reactions; CADRS, Cutaneous adverse drug reactions; AEDs, Antiepileptic Drugs; PGx, Pharmacogenetic Testing; SD, Standard Deviation.</p>
</fn>
<fn id="Tfn1">
<label>a</label>
<p>p value calculated using fisher exact test</p>
</fn>
<fn id="Tfn2">
<label>b</label>
<p>one patient had 2 PGx testing history</p>
</fn>
<fn id="Tfn3">
<label>c</label>
<p>p value calculated between male and female.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Comorbidities were discovered in 108 (28.12%) patients, 17 (17/70, 24.29%) of them were <italic>HLA-B&#x2a;15:02</italic> positive and the remaining 91 (91/314, 28.98%) were <italic>HLA-B&#x2a;15:02</italic> negative. The CBZ was prescribed in doses ranging from 50 to 800&#xa0;mg, while the OXC was prescribed in doses ranging from 300 to 600&#xa0;mg.</p>
<p>According to the findings, 36.46% (n &#x3d; 140) of the patients had previous ADR history, while 18.49% (n &#x3d; 71) had previously experienced CADRs. <italic>HLA-B&#x2a;15:02</italic> positive patients had higher CADRs than <italic>HLA-B&#x2a;15:02</italic> negative patients (18/70, 25.71% vs 53/314, 16.88%, <italic>p</italic> &#x3d; 0.09), however, the difference was insignificant. 48 of the 384 patients had a prior history of AED allergy, with 18.57% (13/70) and 11.15% (35/314) belonging to the <italic>HLA-B&#x2a;15:02</italic> positive and negative groups, respectively (<italic>p</italic> &#x3d; 0.05).</p>
</sec>
<sec id="s3-2">
<title>Clinical Decision on CBZ/OXC Usage Before and After the <italic>HLA-B&#x2a;15:02</italic> PGx Testing</title>
<p>
<xref ref-type="table" rid="T2">Table 2</xref> shows the status of a clinical decision on CBZ/OXC prescription. Because all of the patients were scheduled to receive CBZ/OXC therapy, <italic>HLA-B&#x2a;15:02</italic> testing was performed as per the national policy. Out of 384 patients, the clinical decision on CBZ/OXC was put on hold for 85.67% of patients and requested the <italic>HLA-B&#x2a;15:02</italic> testing prior prescription. Because of the clinical urgency, 55 patients were prescribed CBZ/OXC while the <italic>HLA-B&#x2a;15:02</italic> testing was ordered. <italic>HLA-B&#x2a;15:02</italic> carriers were found in 70 of the 384 cases. This accounts for 18.23% of the overall study population. Fortunately, CBZ was not prescribed in 63 of 70 patients with <italic>HLA-B&#x2a;15:02</italic> carriers before the genotyping results were available; and after receiving the <italic>HLA-B&#x2a;15:02</italic> results, CBZ/OXC was not prescribed in 65 of 70 patients. Only 48 patients in the negative group received CBZ/OXC before the <italic>HLA-B&#x2a;15:02</italic> requested, but 189 patients with <italic>HLA-B&#x2a;15:02</italic> negative were prescribed CBZ/OXC following the results available in the electronic medical record (EMRs) (<xref ref-type="table" rid="T2">Table 2</xref>). In this cohort, five patients were remain treated with CBZ/OXC-based regimen since they were received this regimen for longer than 3 months and had no CADRs. On the other hand, 189 patients in <italic>HLA-B&#x2a;15:02</italic> negative group were administered CBZ/OXC as recommended. Surprisingly, 21 patients with negative <italic>HLA-B&#x2a;15:02</italic> had CADRs, of which 2 patients (9.52%) were SCARs (one DRESS and one SJS cases) and 19 patients (90.48%) were mild rash. Non-CADRs were also observed in 22 patients with negative <italic>HLA-B&#x2a;15:02</italic>, with dizziness being the most common ADRs (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Clinical decision on CBZ/OXC usage before and after received the <italic>HLA-B&#x2a;15:02</italic> PGx testing.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Therapeutics</th>
<th colspan="4" align="center">Before the <italic>HLA-B&#x2a;15:02</italic> Testing</th>
<th colspan="3" align="center">After Received the <italic>HLA-B&#x2a;15:02</italic> reports</th>
</tr>
<tr>
<th align="left">&#x2b;ve (n &#x3d; 70)</th>
<th align="left">-ve (n &#x3d; 314)</th>
<th align="left">Total (n &#x3d; 384)</th>
<th align="left">Hold CD</th>
<th align="left">&#x2b;ve (n &#x3d; 70)</th>
<th align="left">-ve (n &#x3d; 314)</th>
<th align="left">Total (n &#x3d; 384)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">CBZ/OXC</td>
<td align="char" char="(">7 (10.00%)</td>
<td align="char" char="(">48 (15.29%)</td>
<td align="char" char="(">55 (14.32%)</td>
<td align="char" char="(">329 (85.67)</td>
<td align="char" char="(">5 (7.14%)</td>
<td align="char" char="(">189 (60.19%)</td>
<td align="char" char="(">194 (50.52%)</td>
</tr>
<tr>
<td align="left">Alternative drugs</td>
<td align="char" char="(">63 (90.00%)</td>
<td align="char" char="(">266 (84.71%)</td>
<td align="char" char="(">329 (85.68%)</td>
<td align="left">-</td>
<td align="char" char="(">65 (92.86%)</td>
<td align="char" char="(">125 (39.80%)</td>
<td align="char" char="(">190 (49.48%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CD, Clinical Decision; CBZ, Carbamazepine; OXC, Oxcarbazepine; &#x2b;ve, HLA-B&#x2a;15:02 positive; -ve, HLA-B&#x2a;15:02 negative.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Cases of Carbamazepine-Induced SCARs Without PGx Testing</title>
<p>In this study, 13 cases were reported as CBZ-induced SCARs after received CBZ without PGx testing during 2013&#x2013;2021 (<xref ref-type="table" rid="T3">Table 3</xref>). Among them, the patients were diagnosed as SJS/TEN (n &#x3d; 10), Drug rash with eosinophilia and systemic symptoms (DRESS, n &#x3d; 2) and fix-drug eruption (FDE, n &#x3d; 1). Remarkably, <italic>HLA-B&#x2a;15:02</italic> were positive in all SJS/TEN cases (10/10, 100%), where as negative in DRESS and FDE cases. Two patients with CBZ-induced DRESS showed no <italic>HLA-B&#x2a;15:02</italic> positive (<italic>HLA-B&#x2a;27:06/58:01</italic> and <italic>HLA-B&#x2a;40:01/58:01</italic>)<italic>.</italic>
</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Cases of CBZ/OXC-induced SCARs and fixed drug eruption after received CBZ without PGx testing.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Case</th>
<th align="center">Gender</th>
<th align="center">Age</th>
<th align="center">
<italic>HLA-B</italic> Genotype</th>
<th align="center">ADRs type</th>
<th align="center">Year of Report</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">F</td>
<td align="char" char=".">51</td>
<td align="center">
<italic>B&#x2a;15:02/46:01</italic>
</td>
<td align="left">SJS/TEN</td>
<td align="char" char=".">2013</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">F</td>
<td align="char" char=".">32</td>
<td align="center">
<italic>B&#x2a;15:02/44:03</italic>
</td>
<td align="left">SJS/TEN</td>
<td align="char" char=".">2014</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">M</td>
<td align="char" char=".">93</td>
<td align="center">
<italic>B&#x2a;40:01/58:01</italic>
</td>
<td align="left">DRESS</td>
<td align="char" char=".">2015</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">M</td>
<td align="char" char=".">35</td>
<td align="center">
<italic>B&#x2a;15:02/39:09</italic>
</td>
<td align="left">SJS</td>
<td align="char" char=".">2015</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">M</td>
<td align="char" char=".">64</td>
<td align="center">
<italic>B&#x2a;15:02/58:01</italic>
</td>
<td align="left">SJS</td>
<td align="char" char=".">2015</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">F</td>
<td align="char" char=".">38</td>
<td align="center">
<italic>B&#x2a;27:06/58:01</italic>
</td>
<td align="left">DRESS</td>
<td align="char" char=".">2016</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">F</td>
<td align="char" char=".">40</td>
<td align="center">
<italic>B&#x2a;15:02/18:01</italic>
</td>
<td align="left">SJS</td>
<td align="char" char=".">2016</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">F</td>
<td align="char" char=".">43</td>
<td align="center">
<italic>B&#x2a;15:02/46:01</italic>
</td>
<td align="left">SJS</td>
<td align="char" char=".">2016</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">F</td>
<td align="char" char=".">19</td>
<td align="center">
<italic>B&#x2a;15:02/15:02</italic>
</td>
<td align="left">SJS/TEN</td>
<td align="char" char=".">2017</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">M</td>
<td align="char" char=".">23</td>
<td align="center">
<italic>B&#x2a;15:02/15:25</italic>
</td>
<td align="left">SJS</td>
<td align="char" char=".">2018</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">M</td>
<td align="char" char=".">54</td>
<td align="center">
<italic>B&#x2a;15:02/40:01</italic>
</td>
<td align="left">TEN</td>
<td align="char" char=".">2018</td>
</tr>
<tr>
<td align="left">12</td>
<td align="left">F</td>
<td align="char" char=".">57</td>
<td align="center">
<italic>B&#x2a;15:02/46:01</italic>
</td>
<td align="left">TEN</td>
<td align="char" char=".">2019</td>
</tr>
<tr>
<td align="left">13</td>
<td align="left">F</td>
<td align="char" char=".">56</td>
<td align="center">
<italic>DNA not available</italic>
</td>
<td align="left">FDE</td>
<td align="char" char=".">2019</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ADRs, Adverse drug reactions; CBZ, carbamazepine; DRESS, drug reaction with eosinophilia and systemic symptoms; FDE, fixed drug eruption; SCARs, Severe cutaneous adverse drug reactions; SJS, Stevens-Johnson syndrome; TEN, toxic epidermal necrolysis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4">
<title>Incidence of SJS-TEN Between Tested and Non-tested Patients Who Prescribed With CBZ/OXC</title>
<p>Available data demonstrated that prospective <italic>HLA-B&#x2a;15:02</italic> probably reduces the incidence of hypersensitivity reactions to CBZ/OXC (<xref ref-type="table" rid="T4">Table 4</xref>). Of the 1,539 patients who were prescribed for CBZ/OXC, 916 (59.5%) were tested for the <italic>HLA-B&#x2a;15:02</italic> allele and 623 (40.5%) were not tested. The incidence of clinically diagnosed SCARs to CBZ/OXC was significantly lower (<italic>p</italic> &#x3c; 0.001) in the screening arm (0.22%) when compared to the non-screening arm (1.93%). Moreover, 10 of 623 (1.61%) of non-tested patients suffered from SJS/TEN, while only 1 of 916 (0.22%) was observed in tested patients (<italic>p</italic> &#x3c; 0.001).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Incidence of CBZ/OXC-induced SCAR and SJS between <italic>HLA-B&#x2a;15:02</italic> tested patients and non-tested patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variable</th>
<th align="center">Prescripted with CBZ/OXC</th>
<th align="center">No <italic>HLA-B&#x2a;15:02</italic> Testing</th>
<th align="center">Testing for <italic>HLA-B&#x2a;15:02</italic>
</th>
<th align="center">P-Value<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Number of Patients (%)</td>
<td align="char" char=".">1,539</td>
<td align="center">623 (40.5)</td>
<td align="center">916 (59.5)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">CBZ/OXC-induced SCARs (no.)</td>
<td align="char" char=".">14</td>
<td align="center">12</td>
<td align="center">2</td>
<td align="char" char=".">0.0001</td>
</tr>
<tr>
<td align="left">Incidence of CBZ/OXC-induced SCARs (%)</td>
<td align="char" char=".">0.91</td>
<td align="center">1.93</td>
<td align="center">0.22</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">CBZ/OXC-induced SJS-TEN (no.)</td>
<td align="char" char=".">11</td>
<td align="center">10</td>
<td align="center">1</td>
<td align="char" char=".">0.0003</td>
</tr>
<tr>
<td align="left">Incidence of CBZ/OXC-induced SJS-TEN (%)</td>
<td align="char" char=".">0.71</td>
<td align="center">1.61</td>
<td align="center">0.11</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn4">
<label>a</label>
<p>p value (&#x3c;0.05) calculated using fisher exact test between tested and non-tested patients.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Trend of <italic>HLA-B&#x2a;15:02</italic> Testing Requested by Out-Side and In-Side of Ramathibodi Hospital</title>
<p>The Laboratory for Pharmacogenomics (PPM), Ramathibodi Hospital has been established as the first reference laboratory for PGx testing in Thailand. <xref ref-type="fig" rid="F2">Figure 2</xref> illustrates the trend of <italic>HLA-B&#x2a;15:02</italic> testing in the country and also hospital during 2011&#x2013;2020. Totally, 5,191 PGx testing for CBZ/OXC were performed during 2011&#x2013;2020 in Thailand whereas 1,020 (19.64%) patients were requested <italic>HLA-B&#x2a;15:02</italic> for CBZ/OXC treatment in Ramathibodi Hospital. Interestingly, only 58 samples were requested by clinicians in 2011, but the number of PGx testing was escalated to 1,002 and 1,277 in 2014 and 2015, respectively. The similar trend was found in Ramathibodi Hospital; it started with three patients in 2011 and has gradually risen in 2014 (n &#x3d; 278) and dropped in 2015 (n &#x3d; 116), 2016 (n &#x3d; 108), 2017 (n &#x3d; 106), 2018 (n &#x3d; 138), 2019 (n &#x3d; 104) and 2020 (n &#x3d; 117). Totally, 696 (13.27%) and 170 (16.67%)<italic>HLA-B&#x2a;15:02</italic> carriers were detected in Thailand and Ramathibodi Hospital, respectively.</p>
</sec>
<sec id="s3-6">
<title>Alternative Drugs Prescription in Patients With <italic>HLA-B&#x2a;15:02</italic> Positive</title>
<p>In order to prevent the SJS/TEN from CBZ/OXC, the alternative AEDs choices were prescribed in <italic>HLA-B&#x2a;15:02</italic> carriers as per the Thailand Clinical Practice Guidelines for Epilepsy and also NHSO policies. <xref ref-type="fig" rid="F3">Figure 3</xref> depicts the alternative medications that were utilised in place of CBZ/OXC. The most widely utilised alternative AEDs were levetiracetam (30%), valproate (28%) and lamotrigine (LTG) (16%).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Alternative drugs were prescribed in patients with <italic>HLA-B&#x2a;15:02</italic> positive.</p>
</caption>
<graphic xlink:href="fphar-13-867490-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This is the first retrospective cohort study in Thailand to determine the clinical impact of pharmacogenomics (PGx) testing on carbamazepine/oxcarbazepine (CBZ/OXC) prescribing. The female preponderance was seen in the PGx testing population in this study, and it may be because of the higher incidence of hypersensitivity reactions among females (<xref ref-type="bibr" rid="B26">Saksit et al., 2017</xref>). Many earlier research studies support this fact. For example, a study conducted by <xref ref-type="bibr" rid="B2">Alvestad et al. (2007)</xref> reported that a striking difference in the incidence of hypersensitivity was seen between males (8%) and females (19%) with <italic>p</italic> &#x3c; 0.001. This association is highly dependent on the age group; reproductive years 20&#x2013;50 are the most significant age group. The explanation for this is that sex hormones alter the immunological process of rash. Androgens limit the inflammatory response more than endogenous glucocorticoids, whereas female sex hormones enhance the immunological response both pathologically and physiologically (<xref ref-type="bibr" rid="B34">Talal, 1987</xref>; <xref ref-type="bibr" rid="B9">Da Silva, 1999</xref>; <xref ref-type="bibr" rid="B22">Osman, 2003</xref>).</p>
<p>Pharmacogenomic testing for <italic>HLA-B&#x2a;15:02</italic> is now standard practice in Thailand. In this study, physicians requested the PGx testing for CBZ/OXC and hold the prescription until received the PGx report for 85.67% of 384 patients. This was complying with Clinical Practice Guidelines for Epilepsy (2018) of Epilepsy Society of Thailand and the Clinical Pharmacogenetics Implementation Consortium Guideline for HLA Genotype and Use of Carbamazepine and Oxcarbazepine: 2017 Update (<xref ref-type="bibr" rid="B12">Epilepsy Society of Thailand, 2018</xref>; <xref ref-type="bibr" rid="B24">Phillips et al., 2018</xref>). Do not use CBZ in na&#xef;ve-patients that are positive for <italic>HLA-B&#x2a;15:02</italic>. If patient used CBZ for longer than 3&#xa0;months without incidence of adverse reactions, consider use with caution (<xref ref-type="bibr" rid="B24">Phillips et al., 2018</xref>). However, seven patients were found to receive CBZ/OXC while requesting the <italic>HLA-B&#x2a;15:02</italic> PGx testing. Two of them were CBZ na&#xef;ve-patients and prescribed with CBZ due to clinical urgency and five were identified as CBZ/OXC-treated patients (used CBZ/OXC for longer than 3&#xa0;months). Therefore, alternative drugs were prescribed in 65 (92.86%) patients who carried <italic>HLA-B&#x2a;15:02</italic> (positive group).</p>
<p>Among the 314, negative <italic>HLA-B&#x2a;15:02</italic> group, 60% were prescribed with CBZ/OXC, whereas the remaining 40% switched over to other AEDs overall before and after the PGx test. The retrospective follow up analysis showed that lengthy <italic>HLA-B</italic> testing results turnaround time and/or lengthy reach out time of the available PGx testing results to physicians were the two important reasons for it. This is a very common barrier while translating the PGx into the real clinical world (<xref ref-type="bibr" rid="B18">Krebs and Milani, 2019</xref>). Thailand has recently seen a lot of technological improvement in genetic analysis but we used samples from 2011 in our research. This could explain why clinician prescribed CBZ/OXC without waiting for the PGx results in 55 (14.32%) patients. Physicians, on the other hand, awaited for the PGx results of 329 patients before making a clinical decision. This supports our hypothesis that physician CBZ/OXC prescribing decisions were influenced by <italic>HLA-B&#x2a;15:02</italic> genotyping. Moreover, 92.85% (65/70) of <italic>HLA-B&#x2a;15:02</italic> risk allele carriers were avoided by CBZ/OXC, so it can be assumed that the risk population is separated and SCARs are prevented in this population.</p>
<p>However, the screening for <italic>HLA-B&#x2a;15:02</italic> is not a compulsory testing in Thailand prior to initiation of CBZ treatment. During 2013&#x2013;2019, CBZ-induced SCARs were reported from 13 patients who received CBZ without PGx screening in Thai-SCARs cohort. Remarkably, <italic>HLA-B&#x2a;15:02</italic> were positive in all SJS/TEN cases (n &#x3d; 10, 100%), where as negative <italic>HLA-B&#x2a;15:02</italic> in DRESS and FDE. Assumably, these patients can be prevented from SJS/TEN if the <italic>HLA-B&#x2a;15:02</italic> PGx testing was required as a mandatory testing for CBZ prescription. Additionally, the hospital policy and clinical decision support (CDS) alert system is essential to overcome the barriers associated with the utilization of PGx guidelines into clinical practice. The PGx-CDS should be integrated into EMRs and pop-up alert in the therapeutics order system recommending the clinician to order a PGx screening test prior initiation of preventable drug-induced SCARs such as CBZ/OXC (<italic>HLA-B&#x2a;15:02</italic>), allopurinol (<italic>HLA-B&#x2a;58:01</italic>), abacavir (<italic>HLA-B&#x2a;57:01</italic>) and cotrimoxazole/dapsone (<italic>HLA-B&#x2a;13:01</italic>) (<xref ref-type="bibr" rid="B29">Sukasem et al., 2016</xref>; <xref ref-type="bibr" rid="B31">Sukasem et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Kloypan et al., 2021</xref>; <xref ref-type="bibr" rid="B27">Satapornpong et al., 2021</xref>).</p>
<p>An earlier study in Thailand reported that out of 214 SCARs-treated patients over a period of 10&#xa0;years, 23 patients (10.6%) were treated with CBZ, and this shows that CBZ is the major culprit for SCARs. If MPE and other mild-moderate level reactions were included, this number could go higher than this. However, it cannot be assumed that all the risk allele carriers will have CBZ-induced CADRs. In this study, 7.14% of patients who carried <italic>HLA-B&#x2a;15:02</italic> allele did not manifest any CADRs. Because the frequency of SJS/TEN is substantially lower than the frequency of the risk allele in these groups, previous studies have shown that the test&#x2019;s positive predictive value is poor (1&#x2013;5%). Although having <italic>HLA-B&#x2a;15:02</italic> increases the risk of CBZ/OXC induced SJS/TEN by up to &#x3e;700-fold compared to non-carriers, the vast majority of patients with <italic>HLA-B&#x2a;15:02</italic> (95%&#x2013;99%) do not develop SJS/TEN from CBZ/OXC (<xref ref-type="bibr" rid="B3">Amstutz et al., 2014</xref>).</p>
<p>However, in this study if the mild reactions are included this rate goes up to 11%. The reason could be that 29% of the negative patients were reported with multiple comorbidities and most of them were immune related disorders like Systemic lupus erythematosus (SLE), hypo/hyperthyroid, cancer, rheumatoid arthritis (RA), diabetes mellitus (DM), hypertension (HTN), and central nervous system (CNS) infections. Earlier studies showed that some non-clinical risk factors may be involved in the initiation of CADRs (<xref ref-type="bibr" rid="B5">Campos-Fern&#xe1;ndez Mdel et al., 2005</xref>; <xref ref-type="bibr" rid="B23">Patel et al., 2014</xref>; <xref ref-type="bibr" rid="B16">John et al., 2021</xref>).</p>
<p>Unexpectedly, 2 cases with CBZ-induced SCARs (DRESS and SJS) were reported among 189 patients with <italic>HLA-B&#x2a;15:02</italic> negative after CBZ/OXC treated patients. Likewise, 2 cases with CBZ-induced DRESS were reported after CBZ treatment without <italic>HLA-B&#x2a;15:02</italic> PGx testing. Commonly, the <italic>HLA-B&#x2a;15:02</italic> allele has been reported to be specifically associated with CBZ-induced SJS/TEN in Asian populations, and no associations have been reported for drug-induced MPE and DRESS (phenotype-specific biomarker) (<xref ref-type="bibr" rid="B33">Sukasem et al., 2021b</xref>). In contrast, <italic>HLA-A&#x2a;31:01</italic> was reported to be associated with CBZ-induced DRESS and MPE (<xref ref-type="bibr" rid="B21">Mockenhaupt et al., 2019</xref>; <xref ref-type="bibr" rid="B1">Ahmed et al., 2021</xref>). US-FDA recommended that <italic>HLA-B&#x2a;15:02</italic> and <italic>HLA-A&#x2a;31:01</italic> genotypes should be detected to stratify the high risk patients prior CBZ prescription. The use of CBZ should be avoided in patients who test positive for the <italic>HLA-A&#x2a;31:01</italic> or <italic>HLA-B&#x2a;15:02</italic> alleles (<xref ref-type="bibr" rid="B37">US Food and Drug Administration, 2009</xref>). However, conflicting evidence has been found in this study, one SJS patient was reported from negative of <italic>HLA-B&#x2a;15:02</italic> group. This suggested that other genetic and clinical factors may also influence a patient&#x2019;s risk for adverse reactions.</p>
<p>PGx testing has been implemented in many hospitals throughout the world over the last decade to guarantee that the best treatment is chosen. For example, 27 institutions in the United States have established numerous PGx implementation programmes (<xref ref-type="bibr" rid="B11">Dunnenberger et al., 2015</xref>; <xref ref-type="bibr" rid="B39">Volpi et al., 2018</xref>), while other PGx implementation programmes in Europe and East Asia include EU-funded Ubiquitous Pharmacogenomics (U-PGx), PREemptive Pharmacogenomic testing for the prevention of Adverse Drug Reactions (PREPARE) (<xref ref-type="bibr" rid="B38">van der Wouden et al., 2017</xref>), and the Southeast Asian Pharmacogenomics Research Network (SEAPharm) (<xref ref-type="bibr" rid="B25">RIKEN, 2012</xref>; <xref ref-type="bibr" rid="B8">Chumnumwat et al., 2019</xref>).</p>
<p>We discovered that the number of <italic>HLA-B&#x2a;15:02</italic> tests per year has increased significantly since 2013 in Thailand. The reason for the high PGx testing could be because of the implementation of a pilot project for <italic>HLA-B&#x2a;15:02</italic> PGx testing before prescribing CBZ in Bangkok by the Department of Medical Sciences, Ministry of Public Health, Thailand. This phenomenon was emphasised later by NHSO announcement for implementation of national screening policy in 2018.</p>
<p>In the <italic>HLA-B&#x2a;15:02</italic> positive group, levetiracetam, sodium valproate, LTG, gabapentin, and phenytoin (PHT) sodium were the most prescribed as alternative AEDs in epilepsy. The reason that levetiracetam and sodium valproate were used is that they are non-aromatic AEDs with a low rate of cross-reactivity with CADRs. In 2014, <xref ref-type="bibr" rid="B19">Li et al. (2015)</xref> reported a significant association between <italic>HLA-B&#x2a;15:02</italic> and PHT or LTG-induced SJS/TEN. Nevertheless, our study found that LTG and PHT were prescribed in <italic>HLA-B&#x2a;15:02</italic> positive patients without any ADRs. The reason could be the strength of the association is much weaker than it was for CBZ/OXC-related SJS/TEN. A study from Thailand reported a moderate association (limited evidence) (<xref ref-type="bibr" rid="B20">Locharernkul et al., 2008</xref>) and a case report of Han Chinese also showed a weak association (insufficient evidence) (<xref ref-type="bibr" rid="B28">Shi et al., 2012</xref>).</p>
<p>Although the retrospective nature of this study is its limitation, this is the first large cohort study in Thailand that provides valuable information on the real clinical impact of <italic>HLA-B&#x2a;15:02</italic> PGx testing for CBZ prescription and associated CADRs in Thai patients.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>The selection of appropriate AEDs was influenced by pharmacogenomic testing of <italic>HLA-B&#x2a;15:02</italic> risk alleles. <italic>HLA-B</italic> genotyping can guide the physician in selecting CBZ/OXC and other AEDs prescriptions rationally. The number of <italic>HLA-B&#x2a;15:02</italic> screening has increased significantly in Thailand. In 85% of cases, physicians waited for <italic>HLA-B&#x2a;15:02</italic> testing to make clinical decisions on CBZ/OXC prescribing. However, physicians have administered CBZ/OXC without PGx testing in the urgent cases. Though there were no CADRs in the <italic>HLA-B&#x2a;15:02</italic> positive group, CBZ-induced SJS/TEN were reported from <italic>HLA-B&#x2a;15:02</italic> carriers who received CBZ without PGx screening before prescription. The presence of mild rash in the <italic>HLA-B&#x2a;15:02</italic> negative group indicates that other genetic biomarker such as <italic>HLA-A&#x2a;31:01</italic> and/or non-genetic variables are involved in CBZ/OXC-induced CADRs, emphasizing that CBZ/OXC prescriptions necessitate CADRs monitoring even in patient without <italic>HLA-B&#x2a;15:02</italic> risk alleles.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the ethics committee of Ramathibodi Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>KT, SJ, and CS: wrote the manuscript; AB, NK and CS designed and conceptualization the research; All authors performed the research; KT and SJ formal analysis and curation the data; CS, NK and AB: Validation and finalized the study.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was supported by grants from the 1) Mahidol University International Postdoctoral Fellowship, Mahidol University 2) Faculty of Medicine, Ramathibodi Hospital, Mahidol University 3) the Health System Research Institute under Genomics Thailand Strategic Fund, 4) The International Research Network-The Thailand Research Fund (IRN60W003).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s11">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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