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<article article-type="review-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">clinvest</journal-id><journal-title-group><journal-title xml:lang="en">Kachestvennaya Klinicheskaya Praktika = Good Clinical Practice</journal-title><trans-title-group xml:lang="ru"><trans-title>Качественная клиническая практика</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2588-0519</issn><issn pub-type="epub">2618-8473</issn><publisher><publisher-name>ООО «Издательство ОКИ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.37489/2588-0519-GCP-0037</article-id><article-id custom-type="edn" pub-id-type="custom">RPFKEE</article-id><article-id custom-type="elpub" pub-id-type="custom">clinvest-875</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>CLINICAL PHARMACOLOGY</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>КЛИНИЧЕСКАЯ ФАРМАКОЛОГИЯ</subject></subj-group></article-categories><title-group><article-title>Drug-drug interactions of antithrombotic agents as a mechanism underlying the risk of gastrointestinal bleeding</article-title><trans-title-group xml:lang="ru"><trans-title>Лекарственные взаимодействия антитромботических препаратов как механизм реализации риска желудочно-кишечных кровотечений</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4259-0945</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Теплова</surname><given-names>Н. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Teplova</surname><given-names>N. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>д. м. н., профессор, зав. кафедрой клинической фармакологии им. Ю.Б. Белоусова ИКМ ФГАОУ ВО «Российский национальный исследовательский медицинский университет имени Н.И. Пирогова», Москва, Российская Федерация</p></bio><bio xml:lang="en"><p>Dr. Sci. (Med.), professor, Head of the Department of Clinical Pharmacology named after Yu.B. Belousov, Russian National Research Medical University named after N. I. Pirogov, Moscow, Russian Federation</p></bio><email xlink:type="simple">teplova.nv@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7412-3180</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гульбекова</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Gulbekova</surname><given-names>O. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>ассистент кафедры клинической фармакологии им. Ю. Б. Белоусова ИКМ ФГАОУ ВО «Российский национальный исследовательский медицинский университет имени Н. И. Пирогова», Москва, Российская Федерация</p></bio><bio xml:lang="en"><p>Assistant, Department of Clinical Pharmacology named after Yu.B. Belousov, Russian National Research Medical University named after N. I. Pirogov, Moscow, Russian Federation</p></bio><email xlink:type="simple">gulbekova1990@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0002-6563-1711</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Семашкевич</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Semashkevich</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>студент 5-го курса специальности «Лечебное дело» ИКМ ФГАОУ ВО «Российский национальный исследовательский медицинский университет имени Н. И. Пирогова», Москва, Российская Федерация</p></bio><bio xml:lang="en"><p>a fifth-year student majoring in General Medicine at the Institute of Clinical Medicine, Russian National Research Medical University named after N. I. Pirogov, Moscow, Russian Federation</p></bio><email xlink:type="simple">a.smshkvch@yandex.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГАОУ ВО «Российский национальный исследовательский медицинский университет имени Н.И. Пирогова», Москва, Российская Федерация</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian National Research Medical University named after N. I. Pirogov, Moscow, Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГАОУ ВО «Российский национальный исследовательский медицинский университет имени Н. И. Пирогова», Москва, Российская Федерация</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Russian National Research Medical University named after N. I. Pirogov, Moscow, Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>30</day><month>09</month><year>2026</year></pub-date><volume>0</volume><issue>3</issue><issue-title>Online First</issue-title><fpage>16</fpage><lpage>28</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Teplova N.V., Gulbekova O.V., Semashkevich A.A., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Теплова Н.В., Гульбекова О.В., Семашкевич А.А.</copyright-holder><copyright-holder xml:lang="en">Teplova N.V., Gulbekova O.V., Semashkevich A.A.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.clinvest.ru/jour/article/view/875">https://www.clinvest.ru/jour/article/view/875</self-uri><abstract><sec><title>Background</title><p>Background. In comorbid patients receiving antithrombotic therapy, drug–drug interactions (DDIs) are among the key modifiable risk factors for gastrointestinal bleeding (GIB). However, standard bleeding risk scores (HAS‑BLED, ORBIT) do not account for changes in concomitant pharmacotherapy, which limits their predictive value.</p></sec><sec><title>Objective</title><p>Objective. To summarize the available evidence on pharmacokinetic and pharmacodynamic mechanisms underlying DDIs between antithrombotic agents and other drugs that contribute to GIB, and to substantiate strategies for reducing bleeding risk.</p></sec><sec><title>Methods</title><p>Methods. A literature search was performed in PubMed and eLIBRARY.RU for publications from 2020 to 2026. Full‑text systematic reviews, meta‑analyses, and cohort studies published in Russian or English were included. Interactions involving direct oral anticoagulants (DOACs), warfarin, and antiplatelet agents mediated by P‑glycoprotein (P‑gp), cytochrome P450 isoenzymes, and synergistic hemostatic effects were analyzed.</p></sec><sec><title>Results</title><p>Results. Inhibitors of P‑gp and CYP3A4 (amiodarone, verapamil, ketoconazole) substantially increase DOAC exposure: the area under the concentration–time curve (AUC) of dabigatran increases 2.5‑fold with verapamil, and that of rivaroxaban by 158 % with ketoconazole. CYP2C19 inhibitors (omeprazole, esomeprazole) induce clopidogrel phenoconversion, associated with a higher rate of cardiovascular events. Concomitant NSAID use increases GIB risk 3.01‑fold, SSRIs by 34 % (OR = 1.34), and systemic glucocorticoids by 33 % (OR = 1.33). Drug‑related problems are identified in more than 75 % of cardiac patients.</p></sec><sec><title>Conclusion</title><p>Conclusion. Severe bleeding events are more often linked to polypharmacy and DDIs than to the isolated effect of antithrombotic drugs. Prevention requires individualized pharmacotherapy management, dose adjustment of DOACs based on renal function, avoidance of NSAIDs, and gastroprotection with proton pump inhibitors that have minimal CYP2C19 affinity (pantoprazole, rabeprazole).</p></sec></abstract><trans-abstract xml:lang="ru"><sec><title>Актуальность</title><p>Актуальность. У коморбидных пациентов, получающих антитромботическую терапию, межлекарственные взаимодействия служат одним из ключевых модифицируемых факторов риска желудочно-кишечных кровотечений (ЖКК). При этом стандартные шкалы (HAS‑BLED, ORBIT) не учитывают динамику сопутствующей фармакотерапии, что ограничивает их прогностическую ценность.</p></sec><sec><title>Цель</title><p>Цель. Обобщить данные литературы о фармакокинетических и фармакодинамических механизмах взаимодействий антитромботических препаратов с другими лекарственными средствами, способствующих развитию ЖКК, и на основе этого обосновать стратегии снижения геморрагического риска.</p></sec><sec><title>Методы</title><p>Методы. Проведён библиографический поиск в базах PubMed и eLIBRARY.RU за 2020–2026 годы. Включены полнотекстовые систематические обзоры, метаанализы и когортные исследования на русском и английском языках. Анализировались взаимодействия прямых пероральных антикоагулянтов (ПОАК), варфарина и антиагрегантов, опосредованные P‑гликопротеином (P‑gp), изоферментами цитохрома P450, а также синергидные эффекты на систему гемостаза.</p></sec><sec><title>Результаты</title><p>Результаты. Ингибиторы P‑gp и CYP3A4 (амиодарон, верапамил, кетоконазол) значимо повышают экспозицию ПОАК: площадь под кривой «концентрация–время» (AUC) дабигатрана при совместном приёме с верапамилом возрастает в 2,5 раза, ривароксабана с кетоконазолом — на 158 %. Ингибиторы CYP2C19 (омепразол, эзомепразол) вызывают феноконверсию клопидогрела, что ассоциировано с ростом частоты сердечно-сосудистых событий. Приём НПВС увеличивает риск ЖКК в 3,01 раза, СИОЗС — на 34 % (ОШ = 1,34), системных глюкокортикоидов — на 33 % (ОШ = 1,33). Проблемы, связанные с лекарственной терапией, выявляются более чем у 75 % кардиологических больных.</p></sec><sec><title>Заключение</title><p>Заключение. Тяжёлые геморрагии чаще обусловлены полипрагмазией и межлекарственными взаимодействиями, нежели изолированным действием антитромботических средств. Профилактика требует индивидуального контроля терапии, коррекции доз ПОАК с учётом функции почек, отмены НПВС и назначения ингибиторов протонной помпы с минимальным сродством к CYP2C19 (пантопразол, рабепразол).</p></sec></trans-abstract><kwd-group xml:lang="ru"><kwd>антитромботическая терапия</kwd><kwd>прямые пероральные антикоагулянты</kwd><kwd>желудочно-кишечные кровотечения</kwd><kwd>межлекарственные взаимодействия</kwd><kwd>фармакокинетика</kwd><kwd>фармакодинамика</kwd><kwd>полипрагмазия</kwd><kwd>P-гликопротеин</kwd><kwd>цитохром P450</kwd><kwd>ингибиторы протонной помпы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>antithrombotic therapy</kwd><kwd>direct oral anticoagulants</kwd><kwd>gastrointestinal bleeding</kwd><kwd>drug-drug interactions</kwd><kwd>pharmacokinetics</kwd><kwd>pharmacodynamics</kwd><kwd>polypharmacy</kwd><kwd>P-glycoprotein</kwd><kwd>cytochrome P450</kwd><kwd>proton pump inhibitors</kwd></kwd-group></article-meta></front><body><sec><title>Introduction</title><p>Antithrombotic therapy is widely used in cardiovascular pathologies: atrial fibrillation (AF), ischemic heart disease (IHD), acute coronary syndrome (ACS), venous thromboembolism (VTE), and in the presence of mechanical heart valve prostheses [1–3]. The clinical efficacy of modern antithrombotic drugs has been confirmed in large randomized clinical trials. Thus, in AF, switching to direct oral anticoagulants (DOACs) is accompanied by a reduction in the risk of hemorrhagic stroke and systemic emboli compared with warfarin [4, 5]. Within secondary prevention of IHD, monotherapy with P2Y12 inhibitors demonstrates a significant advantage over aspirin monotherapy in terms of the risk of myocardial infarction and hemorrhagic stroke [<xref ref-type="bibr" rid="cit6">6</xref>].</p><p>Despite the high clinical efficacy of antithrombotic drugs, their use is associated with an increased hemorrhagic risk, which occurs in 5–10% of patients annually [<xref ref-type="bibr" rid="cit7">7</xref>]. Gastrointestinal bleeding (GIB) is the most common variant of hemorrhagic complications; however, the incidence of GIB may vary depending on the underlying disease, patient age, and concomitant pathologies [1, 8, 9]. During aspirin monotherapy, the annual incidence of GIB is 1–3%; switching to dual antiplatelet therapy is accompanied by an increase to 2–3% [<xref ref-type="bibr" rid="cit3">3</xref>]. The prognostic significance of hemorrhagic complications is determined by high mortality rates: 30-day mortality after major bleeding in the general population is 10–11%, among comorbid patients 17.7%, and in individuals older than 60 years 12–25% [3, 9, 10]. The recurrence rate of hemorrhages varies from 7.3 to 32.5% depending on the initial pathology and management tactics [<xref ref-type="bibr" rid="cit11">11</xref>]. The localization of bleeding changes predictably over time with antithrombotic drug intake. In the first year after initiation of antithrombotic drugs, bleeding from the stomach and duodenum is more common, whereas in subsequent years bleeding in the small intestine prevails [<xref ref-type="bibr" rid="cit12">12</xref>]. The clinical course also differs depending on the source localization. Bleeding from the upper GI tract is more severe: intravenous administration of proton pump inhibitors (PPIs) is required in approximately 80% of patients, red blood cell transfusion in more than 80%, and in some cases surgery or embolization is necessary. In lower GI bleeding, transfusion is required less often—in approximately 60% [<xref ref-type="bibr" rid="cit13">13</xref>].</p><p>The pathophysiology of GIB occurring during DOAC intake involves not only systemic suppression of hemostasis but also a local damaging effect of unabsorbed drug residues directly on the mucous membrane—this mechanism is particularly characteristic of DOACs [<xref ref-type="bibr" rid="cit14">14</xref>]. The risk of such bleeding increases significantly in older patients burdened by multiple comorbidity [15, 16]. An additional risk factor is the intake of ulcerogenic drugs, in particular nonsteroidal anti-inflammatory drugs (NSAIDs) [<xref ref-type="bibr" rid="cit15">15</xref>], as well as concomitant prescription of antiplatelet agents, which increases the probability of bleeding through pharmacodynamic interaction [<xref ref-type="bibr" rid="cit15">15</xref>]. It has been separately shown that combined use of DOACs with amiodarone is associated with an increased risk of GIB due to inhibition of CYP3A4 and P-glycoprotein (P-gp) and the associated violation of anticoagulant dosing [<xref ref-type="bibr" rid="cit15">15</xref>]. Management of patients with already developed GIB who nevertheless require continuation of antithrombotic therapy is associated with the main clinical problem: the need for a balanced trade-off between the risk of hemorrhagic complications, on the one hand, and thromboembolic complications, on the other [17, 18, 19]. If therapy is resumed prematurely, this may be associated with an increased risk of either recurrent bleeding or death [17, 18]. If drugs are discontinued altogether or the pause in treatment is unjustifiably prolonged, the probability of ischemic stroke, systemic embolism, and in certain high-risk groups, death increases [18, 19, 20].</p><p>Traditional modifiable risk factors explain only 37.3% of the population attributable excess risk of GIB [<xref ref-type="bibr" rid="cit21">21</xref>]. Among pathogenetically significant predictors, polypharmacy, recorded in 40–77% of comorbid patients, acquires a special role [<xref ref-type="bibr" rid="cit22">22</xref>]. Combined intake of antithrombotic agents with NSAIDs, selective serotonin reuptake inhibitors (SSRIs), and glucocorticoids acts as an independent predictor of hemorrhagic complications [3, 23]. A separate pathogenetic group consists of drug–drug interactions detected in 53% of patients: of these, 48% are accounted for by pharmacodynamic mechanisms and 5% by pharmacokinetic mechanisms [22, 23].</p><p>Despite the existence of modern clinical recommendations, prediction of GIB in patients on antithrombotic therapy remains a difficult task. Existing risk scores do not take into account drug interactions and do not allow identification of all modifiable risk factors. This determines the need to analyze additional clinical-pharmacological predictors of hemorrhagic complications.</p></sec><sec><title>Objective</title><p>The aim of this work was to review the literature on drug interactions of antithrombotic drugs with other groups of drugs as a pathogenetic basis of gastrointestinal bleeding, to systematize information on pharmacodynamic and pharmacokinetic mechanisms of these interactions, to assess their clinical significance, and to substantiate optimal strategies for reducing hemorrhagic risk in everyday clinical practice.</p></sec><sec><title>Materials and Methods</title><p>A bibliographic search was performed in PubMed and <ext-link xlink:href="https://elibrary.ru/" ext-link-type="uri">eLIBRARY.RU</ext-link> using the following keywords and their combinations: “antithrombotic therapy,” “drug–drug interactions,” “gastrointestinal bleeding,” “pharmacokinetic interactions,” “pharmacodynamic interactions.” Inclusion criteria were full-text publications in Russian and English—systematic reviews, meta-analyses, cohort studies, review articles, and case reports published between 2020 and 2026; duplicate publications were excluded. The subject of analysis was data on drug interactions of antithrombotic drugs with drugs capable of potentiating the risk of gastrointestinal bleeding.</p></sec><sec><title>Classification of Drug Interactions</title><p>The classification of drug interactions of DOACs by mechanism of action assumes their division into pharmacokinetic and pharmacodynamic [<xref ref-type="bibr" rid="cit24">24</xref>]. A broader descriptive framework is provided by drug-related problems (DRPs)—an erroneous choice of drug, dose, or route of administration is one possible cause, whereas drug–drug interactions are only one variant of such a cause [25, 26]. In outpatient settings, among all identified drug–drug interactions, pharmacokinetic mechanisms predominated, accounting for 61.3% [<xref ref-type="bibr" rid="cit26">26</xref>]. With respect to interactions involving potentially inappropriate medications for the elderly, this figure was even higher, reaching 71.1%, whereas in hospital settings pharmacodynamic mechanisms predominate, accounting for 59.8% and 54.9% of interactions involving potentially inappropriate drugs [<xref ref-type="bibr" rid="cit26">26</xref>].</p></sec><sec><title>Pharmacokinetic Interactions</title><p>Pharmacokinetic interactions are understood as situations in which one drug affects the absorption, distribution, metabolism, or excretion of another, as a result of which its plasma concentration changes. For DOACs, these interactions are caused mainly by inhibition or induction of P-gp and, to a lesser extent, by the CYP3A4 isoenzyme of the cytochrome P450 system [24, 27, 28].</p><p>P-gp is a transport protein; it limits the absorption of xenobiotics in the intestine, including drugs, and simultaneously ensures their excretion through the kidneys and liver [24, 29, 30]. All DOACs without exception are substrates of this transporter [24, 29, 30, 31]. When P-gp inhibitors of varying strength—strong (ketoconazole, cyclosporine) and moderate (verapamil, amiodarone, clarithromycin)—block its function, the bioavailability and plasma concentration of DOACs noticeably increase, and with them the risk of serious bleeding [24, 29, 30, 31, 32]. Thus, dabigatran exposure when combined with verapamil may increase 2.5-fold, and the effect is most pronounced if verapamil is taken one hour before dabigatran [24, 29]. Similarly, the combination of rivaroxaban with amiodarone increases the risk of bleeding [<xref ref-type="bibr" rid="cit29">29</xref>]. P-gp inducers—rifampicin, carbamazepine, phenytoin, St. John’s wort—produce the opposite effect. By activating the transporter, they, on the contrary, accelerate DOAC elimination, as a result of which their blood concentration decreases [24, 29, 31]. The result is insufficient anticoagulation, with the associated risk of thromboembolic complications and stroke [<xref ref-type="bibr" rid="cit29">29</xref>].</p><p>The degree of dependence of different DOACs on CYP3A4 is not uniform. It is most pronounced for rivaroxaban and apixaban; however, published data on the contribution of CYP3A4 to their hepatic metabolism differ substantially and are estimated at 18–50% and 20–25%, respectively [29, 30, 31, 32]. Dabigatran and edoxaban are practically not metabolized by this pathway [29, 31].</p><p>That is why combined inhibitors of CYP3A4 and P-gp—ketoconazole, HIV protease inhibitors—make the combined use of these combinations contraindicated [24, 29]. The opposite picture is observed with combination with CYP3A4 inducers. Thus, rifampicin reduces the exposure of rivaroxaban, apixaban, and edoxaban by 50%, 54%, and 35%, respectively [<xref ref-type="bibr" rid="cit31">31</xref>].</p><p>The main enzyme responsible for warfarin metabolism is CYP2C9 [<xref ref-type="bibr" rid="cit33">33</xref>]. A number of antibiotics—fluoroquinolones (ciprofloxacin, levofloxacin), trimethoprim/sulfamethoxazole—act as its inhibitors [33, 34]. By slowing warfarin degradation, they provoke an increase in the international normalized ratio (INR) and prolongation of bleeding time [<xref ref-type="bibr" rid="cit33">33</xref>]. Rifampicin has the opposite effect: being a strong inducer of hepatic enzymes, namely CYP3A4, it, on the contrary, accelerates warfarin metabolism and reduces INR, forming a hypercoagulable state that requires an increase in the drug dose [<xref ref-type="bibr" rid="cit33">33</xref>].</p><p>Clopidogrel, being a prodrug, acquires pharmacological activity only after conversion to the active metabolite, which requires the participation of CYP2C19 [<xref ref-type="bibr" rid="cit35">35</xref>]. PPIs—primarily omeprazole and esomeprazole—suppress its activity, as a result of which clopidogrel metabolism is impaired, its efficacy decreases, and, consequently, the incidence of adverse cardiovascular events increases [<xref ref-type="bibr" rid="cit35">35</xref>]. In the overall cohort of patients, PPI intake itself did not lead to a significant increase in the incidence of cardiovascular events. However, a significant association was found in patients initially classified as normal metabolizers, that is, those without LOF alleles of CYP2C19 [<xref ref-type="bibr" rid="cit35">35</xref>]. It was in this group that intake of omeprazole or esomeprazole was accompanied by a reliable increase in the incidence of adverse cardiovascular events, comparable in magnitude to the indicators of carriers of LOF alleles. This phenomenon is termed phenoconversion—under the influence of drug–drug interaction, normal metabolizers effectively acquire the properties of “slow” metabolizers, thereby imitating genetically determined enzyme deficiency [<xref ref-type="bibr" rid="cit35">35</xref>].</p><p>The absorption of certain DOACs, in particular dabigatran and edoxaban, depends on gastric acidity. PPIs used can reduce the maximum concentration and area under the curve (AUC) of dabigatran by 20–30% [<xref ref-type="bibr" rid="cit24">24</xref>]. However, in practice, such a pharmacokinetic change is not considered a clinically significant basis for dose correction; moreover, PPIs are often prescribed to such patients specifically for the prevention of gastric bleeding [<xref ref-type="bibr" rid="cit24">24</xref>].</p><p>Antibiotics, primarily penicillins and cephalosporins, destroy intestinal bacteria that synthesize vitamin K, reduce its level in the body, and thereby enhance the pharmacological effect of warfarin; for cephalosporins and amoxicillin/clavulanate, this occurs even in the absence of interaction with the cytochrome P450 system [<xref ref-type="bibr" rid="cit33">33</xref>]. In certain representatives of the penicillin class (nafcillin, dicloxacillin), on the contrary, induction of cytochrome P450 predominates, weakening the warfarin effect. It is the combination of these multidirectional mechanisms that ultimately leads to sharp fluctuations in INR, increasing the risk of both bleeding and thrombosis [<xref ref-type="bibr" rid="cit33">33</xref>].</p><p>The dose-dependent nature of such interactions should also be noted. Interactions are classified by the degree of change in DOAC AUC: strong ≥5-fold change, moderate 2–5-fold, weak less than 2-fold [<xref ref-type="bibr" rid="cit36">36</xref>]. Thus, dronedarone increases dabigatran AUC by 70–100% [<xref ref-type="bibr" rid="cit24">24</xref>]. In elderly patients receiving DOACs, the prevalence of pharmacokinetic interactions is 16.9% at admission, increasing to 20.7% by discharge [<xref ref-type="bibr" rid="cit28">28</xref>]; the most frequent are combinations of amiodarone with apixaban (59.7% and 69.7%, respectively) and with rivaroxaban (26.0% and 21.8%) [<xref ref-type="bibr" rid="cit28">28</xref>]. About 85% of oncological drugs do not require DOAC dose adjustment due to the absence of significant pharmacokinetic influence [<xref ref-type="bibr" rid="cit36">36</xref>]. Information on the main pharmacokinetic interactions is presented in Table 1.</p></sec><sec><title>Table 1. Pharmacokinetic interactions of antithrombotic drugs</title><p>Antithrombotic therapyConcomitant therapyMechanism of interactionClinical significanceDOACsP-gp inhibitors: ketoconazole, cyclosporine, verapamil, amiodarone, clarithromycinInhibition of P-gp → decreased efflux → ↑ bioavailability and plasma concentration of DOACs↑ risk of bleeding; verapamil may increase dabigatran exposure 2.5-foldDOACsP-gp inducers: rifampicin, carbamazepine, phenytoin, St. John’s wortInduction of P-gp → accelerated elimination → ↓ DOAC concentrationsInsufficient anticoagulation → ↑ risk of thromboembolic complications and strokeRivaroxaban, apixabanCYP3A4 + P-gp inhibitors: ketoconazole, HIV protease inhibitorsInhibition of CYP3A4 and P-gp → pronounced ↑ DOAC exposureKetoconazole: ↑ rivaroxaban AUC by 158%, apixaban by 99%; ritonavir: ↑ rivaroxaban AUC by 153%; coadministration may be contraindicatedRivaroxaban, apixaban, edoxabanCYP3A4 + P-gp inducer: rifampicinInduction of metabolism/transport → ↓ DOAC exposure↓ rivaroxaban AUC by 50%, apixaban by 54%, edoxaban by 35% → risk of insufficient anticoagulationDabigatranDronedaroneInhibition of P-gp → ↑ dabigatran exposure↑ dabigatran AUC by 70–100% → potential increase in hemorrhagic riskWarfarinFluoroquinolones (ciprofloxacin, levofloxacin), trimethoprim/sulfamethoxazoleInhibition of CYP2C9 → slowed warfarin metabolism↑ INR and prolonged bleeding time → ↑ hemorrhagic riskWarfarinRifampicinInduction of hepatic enzymes → accelerated warfarin metabolism↓ INR → risk of insufficient anticoagulation; dose increase may be requiredWarfarinPenicillins, cephalosporins, amoxicillin/clavulanateSuppression of intestinal microflora → ↓ vitamin K synthesisEnhanced warfarin effect → ↑ INR and bleeding riskWarfarinNafcillin, dicloxacillinInduction of cytochrome P450 → ↑ warfarin metabolismWeakened anticoagulant effect; possible INR fluctuations and thrombosis riskClopidogrelPPIs: omeprazole, esomeprazoleInhibition of CYP2C19 → ↓↓ antiplatelet efficacy → ↓ formation of active clopidogrel metabolite; phenoconversion↑ incidence of adverse cardiovascular eventsDabigatranPPIsIncreased gastric pH → ↓ absorption↓ Cmax and AUC by approximately 20–30%; change not considered a basis for dose correction</p></sec><sec><title>Pharmacodynamic Interactions</title><p>The essence of pharmacodynamic interactions is that co-prescribed drugs affect the hemostatic system, platelet function, or gastric mucosa independently of the concentration of the anticoagulant itself. That is why the risk of bleeding with such combinations increases substantially and directly [24, 26, 28, 37, 38]. Among the agents involved in such interactions, NSAIDs, antiplatelet agents, and SSRIs play the leading role [24, 39, 40]. As shown by a Danish study, about 18.6% of patients take antiplatelet agents in parallel with DOACs [<xref ref-type="bibr" rid="cit41">41</xref>]. Such a combination increases the probability of hemorrhagic complications by 25–50% depending on the specific antiplatelet agent [<xref ref-type="bibr" rid="cit42">42</xref>]. Special attention should be paid to so-called “triple therapy”—a combination of an anticoagulant with dual antiplatelet therapy. Such a combination is usually prescribed after coronary artery stenting or in acute coronary syndrome and can increase the risk of bleeding up to 27% [<xref ref-type="bibr" rid="cit43">43</xref>]. The choice of the specific antiplatelet agent also matters: replacing clopidogrel with prasugrel in the combination regimen increases the probability of bleeding more than fourfold (odds ratio [OR] = 4.35) [<xref ref-type="bibr" rid="cit43">43</xref>]. In a cohort of patients with a mean age of 77 years, adding clopidogrel to a DOAC was accompanied by an increase in the risk of bleeding of any localization by 37% (OR = 1.37) and gastrointestinal bleeding by 44% (OR = 1.44) [<xref ref-type="bibr" rid="cit42">42</xref>].</p><p>The mechanism of action of NSAIDs is related to impaired prostaglandin synthesis, as a result of which both the protection of the GI mucosa decreases and platelet function is suppressed [<xref ref-type="bibr" rid="cit41">41</xref>]. The frequency of their use during anticoagulant therapy varies from 10.9% in Denmark to 13.4% in the USA [41, 42]. In several cohort studies, the combination of NSAIDs with anticoagulants was associated with a substantial increase in the risk of complications [41, 44], although in one study (Medicare, USA) no statistically significant association was found [<xref ref-type="bibr" rid="cit42">42</xref>].</p><p>A large cohort study conducted using the British database revealed a threefold increase in the risk of gastrointestinal bleeding (hazard ratio [HR] = 3.01) and an increase in the risk of major bleeding by 2.77-fold (HR = 2.77) [<xref ref-type="bibr" rid="cit44">44</xref>]. Moreover, the addition of NSAIDs can attenuate the therapeutic effect of anticoagulants. The risk of stroke, including ischemic and hemorrhagic subtypes, in such patients increases 2.71-fold (HR = 2.71). There was a trend toward an increased risk of systemic embolism (HR = 3.02), but the difference did not reach statistical significance (95% CI 0.82–11.07) [<xref ref-type="bibr" rid="cit44">44</xref>].</p><p>As for SSRIs, their effect on hemostasis is mediated by serotonin, which is necessary for full activation and aggregation of platelets. By inhibiting its reuptake, fluoxetine, paroxetine, citalopram, and other representatives of this group deplete platelet serotonin stores and thereby impair platelet function [<xref ref-type="bibr" rid="cit37">37</xref>]. In addition, they can enhance gastric acid secretion, provoking ulcer formation [<xref ref-type="bibr" rid="cit37">37</xref>]. In parallel with DOACs, about 16% of patients take such antidepressants [<xref ref-type="bibr" rid="cit42">42</xref>]. According to a large meta-analysis covering 32 studies and more than 1.84 million patients, adding SSRIs to anticoagulant therapy increases the risk of bleeding of any localization by 39% (OR = 1.39) [<xref ref-type="bibr" rid="cit37">37</xref>]. At the same time, the risk of major bleeding increases by 39% (OR = 1.39), gastrointestinal bleeding by 34% (OR = 1.34), and intracranial hemorrhage by 31% (OR = 1.31) [<xref ref-type="bibr" rid="cit37">37</xref>]. If antidepressants are prescribed simultaneously with antiplatelet agents, the probability of major bleeding increases by 45% (OR = 1.45) [<xref ref-type="bibr" rid="cit37">37</xref>]. The use of SSRIs during DOAC therapy significantly increases the frequency of both gastrointestinal and overall hemorrhagic complications [<xref ref-type="bibr" rid="cit42">42</xref>].</p><p>The adverse effect on the GI mucosa is also exerted by systemic glucocorticoids themselves [<xref ref-type="bibr" rid="cit42">42</xref>]. Their combination with DOACs reliably increases the risk of bleeding of any localization by 26% (OR = 1.26) and gastrointestinal bleeding by 33% (OR = 1.33) [<xref ref-type="bibr" rid="cit42">42</xref>].</p><p>Pharmacodynamic interactions are presented in Table 2.</p></sec><sec><title>Table 2. Pharmacodynamic interactions of antithrombotic drugs</title><p>Antithrombotic therapyConcomitant therapyMechanism of interactionClinical significanceAnticoagulantsNSAIDs↓ prostaglandin synthesis → damage to the protective barrier of the GI mucosa + suppression of platelet functionRisk of GIB ↑ 3.01-fold (HR = 3.01); risk of major bleeding ↑ 2.77-fold (HR = 2.77)DOACsAntiplatelet agentsSimultaneous suppression of coagulation and platelet components of hemostasis↑ risk of hemorrhagic complications by 25–50% depending on the antiplatelet agentDOACsClopidogrelCombination of anticoagulation with suppression of platelet aggregationRisk of bleeding of any localization ↑ by 37% (OR = 1.37); GIB — by 44% (OR = 1.44)Anticoagulant + dual antiplatelet therapyTriple antithrombotic therapyAdditive suppression of coagulation and platelet components of hemostasisRisk of bleeding reaches 27%Anticoagulant in combination therapyPrasugrel instead of clopidogrelMore pronounced suppression of platelet aggregationProbability of bleeding ↑ more than 4-fold — OR = 4.35AnticoagulantsSSRIs: fluoxetine, paroxetine, citalopram, etc.↓ serotonin reuptake by platelets → depletion of their intracellular stores → impaired aggregation; possible ↑ gastric acid secretionRisk of all bleeding ↑ by 39% (OR = 1.39); major bleeding — by 39% (OR = 1.39); GIB — by 34% (OR = 1.34)Antiplatelet agentsSSRIsSynergistic impairment of platelet functionRisk of major bleeding ↑ by 45% (OR = 1.45)DOACsSystemic glucocorticoidsAdverse effect of GCs on the GI mucosa + systemic anticoagulationRisk of all bleeding ↑ by 26% (OR = 1.26); GIB — by 33% (OR = 1.33)</p></sec><sec><title>Drug-Related Problems</title><p>Drug-related problems (DRPs) are understood as problems associated with drug therapy that actually or potentially hinder achievement of the desired therapeutic result [<xref ref-type="bibr" rid="cit25">25</xref>]. They include errors in the choice of drug, dosing regimen, and route of administration, as well as insufficient patient adherence to treatment [25, 45]. Among cardiac patients receiving antithrombotic therapy, such problems are detected with high frequency—in more than 75% of patients, according to a structured pharmaceutical review of pharmacotherapy [<xref ref-type="bibr" rid="cit25">25</xref>]. In a study involving 8,432 patients, DRPs associated with errors in DOAC prescribing were recorded in 9.8% of participants (n = 827) [<xref ref-type="bibr" rid="cit45">45</xref>]. Most DRPs are related to therapy safety, whereas effects on the effectiveness of drug treatment occur significantly less often [<xref ref-type="bibr" rid="cit25">25</xref>]. The most common causes are incorrect drug selection and errors in dose selection [<xref ref-type="bibr" rid="cit25">25</xref>]. Among DRPs with DOAC intake, violations of the dosing regimen predominate, most often due to incorrect assessment of renal function, which leads both to unjustified dose reduction and to exceeding recommended doses [<xref ref-type="bibr" rid="cit45">45</xref>]. At the same time, among cases involving apixaban, dose underestimation was more common than overdose, whereas in the cohort overall, patients receiving rivaroxaban most often received an underestimated dose (63.2%) [<xref ref-type="bibr" rid="cit45">45</xref>].</p></sec><sec><title>Clinical Significance</title><p>The localization of hemorrhagic complications is largely determined by interclass and intraclass heterogeneity of antithrombotic drugs; the distribution of risks by mechanisms, risk factors, and drug interactions depending on the specific anticoagulant is presented in Table 1 [46, 47]. The identified differences necessitate the use of standard algorithms. The choice of drug is based on a strict balance between systemic prevention of thromboembolism and the risk of local bleeding during intake of a specific anticoagulant [46, 47, 49].</p><p>The probability of hemorrhagic complications additionally increases in comorbid patients. Polypharmacy aggravates hemorrhagic risks and contributes to the development of life-threatening conditions with high short-term mortality [<xref ref-type="bibr" rid="cit54">54</xref>]. The increase in the number of complications is primarily due to drug–drug interactions against the background of combined use of anticoagulants and antiplatelet agents [50, 53]. From the standpoint of pharmacodynamics, concomitant intake of NSAIDs, corticosteroids, or SSRIs directly damages the mucosa and suppresses primary hemostasis [52, 54]. In parallel, pharmacokinetic shifts develop: the effect of other drugs on cytochrome P450 isoenzymes and the P-gp efflux pump provokes fluctuations in anticoagulant bioavailability. The combined influence of these factors prevents adequate control of systemic hemostasis. As a consequence, severe refractory bleeding develops, sharply worsening the clinical prognosis [<xref ref-type="bibr" rid="cit54">54</xref>].</p><p>Under such conditions, the bleeding risk scores HAS-BLED and ORBIT demonstrate only moderate and mutually comparable predictive ability [<xref ref-type="bibr" rid="cit55">55</xref>]. Their accuracy is limited by a static set of criteria. These algorithms take into account basic demographic and anamnestic indicators but completely exclude the influence of drug–drug interactions and transient episodes of physiological decompensation [<xref ref-type="bibr" rid="cit52">52</xref>]. Ignoring pharmacokinetic shifts against the background of polypharmacy naturally reduces the prognostic value of scoring systems in the management of comorbid patients [52, 55]. Risk assessment using standardized scores alone is insufficient. Adequate prevention of bleeding requires an individualized clinical-pharmacological approach that flexibly adapts to changes in the patient’s somatic status and adjustments in concomitant therapy [52, 55].</p></sec><sec><title>Risk Minimization</title><p>The initial stage of reducing hemorrhagic risks consists in optimizing the prescription list and eliminating modifiable factors [<xref ref-type="bibr" rid="cit56">56</xref>]. First of all, it is necessary to avoid the use of NSAIDs for routine relief of pain. Concomitant intake of NSAIDs with oral anticoagulants or antiplatelet agents multiply increases the frequency of life-threatening gastrointestinal bleeding [<xref ref-type="bibr" rid="cit56">56</xref>].</p><p>To ensure adequate protection of the digestive mucosa without aggravating the problem of polypharmacy, gastroprotection with PPIs is required; it is justified in patients with an initially high risk of hemorrhage—older individuals and patients receiving dual antiplatelet therapy [56, 57, 58]. In these cohorts, preventive therapy has proven efficacy and justifies the risks of polypharmacy. If additional risk factors are absent, routine preventive PPI use is clinically inappropriate, which requires a strictly individualized approach to mucosal protection [<xref ref-type="bibr" rid="cit57">57</xref>].</p><p>Another key condition for safe antithrombotic therapy is individual dose selection against the background of regular monitoring of renal function [<xref ref-type="bibr" rid="cit56">56</xref>]. The DOAC dosing regimen should be flexibly adjusted taking into account age, body weight, and creatinine clearance [<xref ref-type="bibr" rid="cit56">56</xref>]. Thus, age over 75 years or body weight less than 50–60 kg significantly increases the plasma concentration of dabigatran and apixaban, potentiating the risk of complications [<xref ref-type="bibr" rid="cit56">56</xref>].</p><p>The effectiveness of antithrombotic therapy directly depends on drug–drug interactions in the cytochrome P450 system, which can cause phenoconversion [56, 58]. In particular, omeprazole and esomeprazole competitively block the CYP2C19 isoenzyme required for clopidogrel bioactivation; therefore, their combined prescription is not recommended [<xref ref-type="bibr" rid="cit58">58</xref>]. In such situations, transferring patients to alternative P2Y12 receptor inhibitors—ticagrelor or prasugrel—is advisable. The antiplatelet activity of these molecules is not subject to the influence of genetic polymorphisms with loss of function of the CYP2C19 gene [58, 59]. If clopidogrel discontinuation is impossible, the drugs of choice for gastroprotection become pantoprazole or rabeprazole. Due to minimal affinity for CYP2C19 and metabolism via alternative pathways, they do not reduce the effectiveness of antiplatelet protection [<xref ref-type="bibr" rid="cit58">58</xref>].</p><p>Safe management of such patients is based on multidisciplinary interaction between a cardiologist, gastroenterologist, and clinical pharmacologist [56, 57]. At the same time, assessment of hemorrhagic risks should be continuous. Regular review of HAS-BLED values is required in combination with screening for Helicobacter pylori infection. Timely eradication of the pathogen is a mandatory condition for primary and secondary prevention of ulcer bleeding [56, 60].</p><p>The success of treatment is also determined by high-quality patient education, which increases adherence to prescribed regimens. Patients must be explained the danger of independent intake of over-the-counter analgesics. Unauthorized discontinuation of antithrombotic therapy is unacceptable.</p><p>A brief risk minimization algorithm is presented in Fig. 1.</p><p>Fig. 1. Algorithm for minimizing the risk of gastrointestinal bleeding during antithrombotic therapySource: Teplova N.V. et al., 2026</p></sec><sec><title>Conclusion</title><p>GIB during antithrombotic therapy represents a multifactorial complication. The development of fatal hemorrhages is more often due to polypharmacy and drug–drug interactions than to the direct isolated action of an individual drug. The pharmacokinetic shifts that arise are based on competition of molecules for cytochrome P450 isoenzymes (in particular, CYP3A4, CYP2C19) and the P-gp efflux pump. This leads to unpredictable drug accumulation or to the development of phenoconversion. An additional burden is created by pharmacodynamic synergism: concomitant prescription of ulcerogenic drugs, such as NSAIDs, corticosteroids, or SSRIs, enhances damage to the mucous membrane. Against the background of vulnerable somatic status—advanced age and renal dysfunction—the combination of these factors multiply increases the probability of severe bleeding.</p><p>When assessing such risks, standardized HAS-BLED scores have limited prognostic value, since their static algorithms do not take into account the dynamics of concomitant pharmacotherapy. Treatment safety requires individualized clinical-pharmacological control, discontinuation of unjustified prescriptions, and targeted gastroprotection. The choice of PPI is made strictly taking into account their drug interaction profile. Monitoring of renal clearance and readiness to replace the antithrombotic drug when there is a threat of adverse reactions remain mandatory conditions.</p><p>The development of new prognostic models and clinical decision support systems is impossible without the use of continuously updated clinical data. Calculation algorithms must incorporate parameters of pharmacokinetic interactions, the patient’s genetic profile, and information on transient organ dysfunction. 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