Prevalence of drug–drug interactions in sarcoma patients: key role of the pharmacist integration for toxicity risk management

Background The risk of drug–drug interactions (DDI) has become a major issue in cancer patients. However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation befor...

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Veröffentlicht in:Cancer chemotherapy and pharmacology 2021-10, Vol.88 (4), p.741-751
Hauptverfasser: Bellesoeur, Audrey, Gataa, Ithar, Jouinot, Anne, Mershati, Sarah El, Piketty, Anne-Catherine, Tlemsani, Camille, Balakirouchenane, David, Monribot, Anthia, Vidal, Michel, Batista, Rui, de Percin, Sixtine, Villeminey, Clémentine, Alexandre, Jérôme, Goldwasser, François, Blanchet, Benoit, Boudou-Rouquette, Pascaline, Thomas-Schoemann, Audrey
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container_issue 4
container_start_page 741
container_title Cancer chemotherapy and pharmacology
container_volume 88
creator Bellesoeur, Audrey
Gataa, Ithar
Jouinot, Anne
Mershati, Sarah El
Piketty, Anne-Catherine
Tlemsani, Camille
Balakirouchenane, David
Monribot, Anthia
Vidal, Michel
Batista, Rui
de Percin, Sixtine
Villeminey, Clémentine
Alexandre, Jérôme
Goldwasser, François
Blanchet, Benoit
Boudou-Rouquette, Pascaline
Thomas-Schoemann, Audrey
description Background The risk of drug–drug interactions (DDI) has become a major issue in cancer patients. However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation before anticancer treatment. Patients and methods We performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software. Results One hundred and twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before CT (86%) or TKI (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI ( p  
doi_str_mv 10.1007/s00280-021-04311-4
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However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation before anticancer treatment. Patients and methods We performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software. Results One hundred and twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before CT (86%) or TKI (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI ( p  &lt; 0.0001), proton pump inhibitor ( p  = 0.026) and antidepressant ( p  &lt; 0.001) were identified as risk factors of DDI ( p  &lt; 0.02). Only marital status ( p  = 0.003) was associated with complementary medicine use. A pharmacist performed 157 medication reconciliations and made 71 interventions among 59 patients (37%). In multivariate analysis, factors associated with pharmacist intervention were: complementary medicines ( p  = 0.004), drugs number ( p  = 0.005) and treatment with TKI ( p  = 0.0002) Conclusions Clinical interventions on DDI are more frequently required among sarcoma patients treated with TKI than CT. Multidisciplinary risk assessment including a medication reconciliation by a pharmacist could be crucial to prevent DDI with TKI.</description><identifier>ISSN: 0344-5704</identifier><identifier>EISSN: 1432-0843</identifier><identifier>DOI: 10.1007/s00280-021-04311-4</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Alternative medicine ; Antidepressants ; Bone tumors ; Cancer Research ; Chemotherapy ; Drug interactions ; Drugs ; Enzyme inhibitors ; Evaluation ; Kinases ; Medicine ; Medicine &amp; Public Health ; Multivariate analysis ; Oncology ; Original Article ; Patients ; Pharmacology/Toxicology ; Protein-tyrosine kinase ; Proton pump inhibitors ; Reconciliation ; Risk analysis ; Risk assessment ; Risk factors ; Risk management ; Sarcoma ; Toxicity ; Tyrosine</subject><ispartof>Cancer chemotherapy and pharmacology, 2021-10, Vol.88 (4), p.741-751</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c396t-1043c208763d5a577b2c61082dae7c1a7cc0463ccb27b613c2b6b906691ebae73</citedby><cites>FETCH-LOGICAL-c396t-1043c208763d5a577b2c61082dae7c1a7cc0463ccb27b613c2b6b906691ebae73</cites><orcidid>0000-0002-8240-1478</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00280-021-04311-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00280-021-04311-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27911,27912,41475,42544,51306</link.rule.ids></links><search><creatorcontrib>Bellesoeur, Audrey</creatorcontrib><creatorcontrib>Gataa, Ithar</creatorcontrib><creatorcontrib>Jouinot, Anne</creatorcontrib><creatorcontrib>Mershati, Sarah El</creatorcontrib><creatorcontrib>Piketty, Anne-Catherine</creatorcontrib><creatorcontrib>Tlemsani, Camille</creatorcontrib><creatorcontrib>Balakirouchenane, David</creatorcontrib><creatorcontrib>Monribot, Anthia</creatorcontrib><creatorcontrib>Vidal, Michel</creatorcontrib><creatorcontrib>Batista, Rui</creatorcontrib><creatorcontrib>de Percin, Sixtine</creatorcontrib><creatorcontrib>Villeminey, Clémentine</creatorcontrib><creatorcontrib>Alexandre, Jérôme</creatorcontrib><creatorcontrib>Goldwasser, François</creatorcontrib><creatorcontrib>Blanchet, Benoit</creatorcontrib><creatorcontrib>Boudou-Rouquette, Pascaline</creatorcontrib><creatorcontrib>Thomas-Schoemann, Audrey</creatorcontrib><title>Prevalence of drug–drug interactions in sarcoma patients: key role of the pharmacist integration for toxicity risk management</title><title>Cancer chemotherapy and pharmacology</title><addtitle>Cancer Chemother Pharmacol</addtitle><description>Background The risk of drug–drug interactions (DDI) has become a major issue in cancer patients. However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation before anticancer treatment. Patients and methods We performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software. Results One hundred and twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before CT (86%) or TKI (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI ( p  &lt; 0.0001), proton pump inhibitor ( p  = 0.026) and antidepressant ( p  &lt; 0.001) were identified as risk factors of DDI ( p  &lt; 0.02). Only marital status ( p  = 0.003) was associated with complementary medicine use. A pharmacist performed 157 medication reconciliations and made 71 interventions among 59 patients (37%). In multivariate analysis, factors associated with pharmacist intervention were: complementary medicines ( p  = 0.004), drugs number ( p  = 0.005) and treatment with TKI ( p  = 0.0002) Conclusions Clinical interventions on DDI are more frequently required among sarcoma patients treated with TKI than CT. Multidisciplinary risk assessment including a medication reconciliation by a pharmacist could be crucial to prevent DDI with TKI.</description><subject>Alternative medicine</subject><subject>Antidepressants</subject><subject>Bone tumors</subject><subject>Cancer Research</subject><subject>Chemotherapy</subject><subject>Drug interactions</subject><subject>Drugs</subject><subject>Enzyme inhibitors</subject><subject>Evaluation</subject><subject>Kinases</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Multivariate analysis</subject><subject>Oncology</subject><subject>Original Article</subject><subject>Patients</subject><subject>Pharmacology/Toxicology</subject><subject>Protein-tyrosine kinase</subject><subject>Proton pump inhibitors</subject><subject>Reconciliation</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Risk management</subject><subject>Sarcoma</subject><subject>Toxicity</subject><subject>Tyrosine</subject><issn>0344-5704</issn><issn>1432-0843</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kMtOwzAQRS0EEqXwA6wssTaMH3ESdgjxkirBAtaW4zpp2iYutovoCv6BP-RLcBskdqxGI51zR3MROqVwTgHyiwDACiDAKAHBKSViD42o4IxAIfg-GgEXgmQ5iEN0FMIcAATlfIQ-nrx900vbG4tdjad-3Xx_fm0HbvtovTaxdX1ICw7aG9dpvNKxtX0Ml3hhN9i75c6MM4tXM-07bdoQd3Lj9VbGtfM4uvfWtDHxbVjgTve6sV1KOUYHtV4Ge_I7x-jl9ub5-p5MHu8erq8mxPBSRkLTV4ZBkUs-zXSW5xUzkkLBptrmhurcGBCSG1OxvJI0sZWsSpCypLZKCB-jsyF35d3r2oao5m7t-3RSsUxSmXGgZaLYQBnvQvC2VivfdtpvFAW1LVoNRatUtNoVrUSS-CCFBPeN9X_R_1g_SqyDpw</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Bellesoeur, Audrey</creator><creator>Gataa, Ithar</creator><creator>Jouinot, Anne</creator><creator>Mershati, Sarah El</creator><creator>Piketty, Anne-Catherine</creator><creator>Tlemsani, Camille</creator><creator>Balakirouchenane, David</creator><creator>Monribot, Anthia</creator><creator>Vidal, Michel</creator><creator>Batista, Rui</creator><creator>de Percin, Sixtine</creator><creator>Villeminey, Clémentine</creator><creator>Alexandre, Jérôme</creator><creator>Goldwasser, François</creator><creator>Blanchet, Benoit</creator><creator>Boudou-Rouquette, Pascaline</creator><creator>Thomas-Schoemann, Audrey</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TO</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-8240-1478</orcidid></search><sort><creationdate>20211001</creationdate><title>Prevalence of drug–drug interactions in sarcoma patients: key role of the pharmacist integration for toxicity risk management</title><author>Bellesoeur, Audrey ; Gataa, Ithar ; Jouinot, Anne ; Mershati, Sarah El ; Piketty, Anne-Catherine ; Tlemsani, Camille ; Balakirouchenane, David ; Monribot, Anthia ; Vidal, Michel ; Batista, Rui ; de Percin, Sixtine ; Villeminey, Clémentine ; Alexandre, Jérôme ; Goldwasser, François ; Blanchet, Benoit ; Boudou-Rouquette, Pascaline ; Thomas-Schoemann, Audrey</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c396t-1043c208763d5a577b2c61082dae7c1a7cc0463ccb27b613c2b6b906691ebae73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Alternative medicine</topic><topic>Antidepressants</topic><topic>Bone tumors</topic><topic>Cancer Research</topic><topic>Chemotherapy</topic><topic>Drug interactions</topic><topic>Drugs</topic><topic>Enzyme inhibitors</topic><topic>Evaluation</topic><topic>Kinases</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Multivariate analysis</topic><topic>Oncology</topic><topic>Original Article</topic><topic>Patients</topic><topic>Pharmacology/Toxicology</topic><topic>Protein-tyrosine kinase</topic><topic>Proton pump inhibitors</topic><topic>Reconciliation</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Risk management</topic><topic>Sarcoma</topic><topic>Toxicity</topic><topic>Tyrosine</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bellesoeur, Audrey</creatorcontrib><creatorcontrib>Gataa, Ithar</creatorcontrib><creatorcontrib>Jouinot, Anne</creatorcontrib><creatorcontrib>Mershati, Sarah El</creatorcontrib><creatorcontrib>Piketty, Anne-Catherine</creatorcontrib><creatorcontrib>Tlemsani, Camille</creatorcontrib><creatorcontrib>Balakirouchenane, David</creatorcontrib><creatorcontrib>Monribot, Anthia</creatorcontrib><creatorcontrib>Vidal, Michel</creatorcontrib><creatorcontrib>Batista, Rui</creatorcontrib><creatorcontrib>de Percin, Sixtine</creatorcontrib><creatorcontrib>Villeminey, Clémentine</creatorcontrib><creatorcontrib>Alexandre, Jérôme</creatorcontrib><creatorcontrib>Goldwasser, François</creatorcontrib><creatorcontrib>Blanchet, Benoit</creatorcontrib><creatorcontrib>Boudou-Rouquette, Pascaline</creatorcontrib><creatorcontrib>Thomas-Schoemann, Audrey</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Health &amp; 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However, data in sarcoma patients are scarce. We aimed to evaluate the frequency and the factors associated with DDI with antitumor treatments, and to evaluate the impact of a pharmacist evaluation before anticancer treatment. Patients and methods We performed a retrospective review of consecutive sarcoma patients starting chemotherapy (CT) or Tyrosine kinase inhibitor (TKI). A pharmacist performed medication reconciliation and established an early toxicity risk assessment. Potential DDI with antitumor drugs were identified using Micromedex electronic software. Results One hundred and twenty-two soft-tissue and 80 bone sarcoma patients (103 males, median age 50 years,) were included before CT (86%) or TKI (14%). The median number of medications was 3; 34 patients (22% of patients with medication reconciliation) reported complementary medicine use. 37 potential DDI classified as major, were identified (12% of the 243 pre-therapeutic assessments). In multivariate analysis, TKI ( p  &lt; 0.0001), proton pump inhibitor ( p  = 0.026) and antidepressant ( p  &lt; 0.001) were identified as risk factors of DDI ( p  &lt; 0.02). Only marital status ( p  = 0.003) was associated with complementary medicine use. A pharmacist performed 157 medication reconciliations and made 71 interventions among 59 patients (37%). In multivariate analysis, factors associated with pharmacist intervention were: complementary medicines ( p  = 0.004), drugs number ( p  = 0.005) and treatment with TKI ( p  = 0.0002) Conclusions Clinical interventions on DDI are more frequently required among sarcoma patients treated with TKI than CT. Multidisciplinary risk assessment including a medication reconciliation by a pharmacist could be crucial to prevent DDI with TKI.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s00280-021-04311-4</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-8240-1478</orcidid><oa>free_for_read</oa></addata></record>
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source Springer Nature - Complete Springer Journals
subjects Alternative medicine
Antidepressants
Bone tumors
Cancer Research
Chemotherapy
Drug interactions
Drugs
Enzyme inhibitors
Evaluation
Kinases
Medicine
Medicine & Public Health
Multivariate analysis
Oncology
Original Article
Patients
Pharmacology/Toxicology
Protein-tyrosine kinase
Proton pump inhibitors
Reconciliation
Risk analysis
Risk assessment
Risk factors
Risk management
Sarcoma
Toxicity
Tyrosine
title Prevalence of drug–drug interactions in sarcoma patients: key role of the pharmacist integration for toxicity risk management
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