Literature DB >> 25628444

Drug-drug interactions in patients treated for cancer: a prospective study on clinical interventions.

R W F van Leeuwen1, F G A Jansman2, P M L A van den Bemt3, F de Man3, F Piran3, I Vincenten3, A Jager4, A W Rijneveld5, J D Brugma3, R H J Mathijssen4, T van Gelder6.   

Abstract

BACKGROUND: Drug-drug interactions (DDIs) are of major concern in oncology, since cancer patients typically take many concomitant medications. Retrospective studies have been conducted to determine the prevalence of DDIs. However, prospective studies on DDIs needing interventions in cancer patients have not yet been carried out. Therefore, a prospective study was designed to identify DDIs leading to interventions among ambulatory cancer patients receiving anticancer treatment. PATIENTS AND METHODS: Patients starting with a new treatment regimen with i.v. or oral anticancer medication were asked to participate. The patients' medication was checked for DDIs by using drug interaction software. An expert team of clinical pharmacologists evaluated the relevance of these identified DDIs. If a DDI was qualified as potentially clinically relevant, an intervention was proposed to the treating (hemato)oncologist. Several variables were studied as determinants for performing an intervention. Descriptive statistics and uni- and multivariate logistic regression analyses were carried out.
RESULTS: In this study, 302 patients were included. A total of 603 DDIs were identified by the drug interaction software and judged by the expert team. Of all 603 DDIs, 120 DDIs were considered potentially clinically relevant. These 120 DDIs, present in a total of 81 patients, resulted in a clinical intervention already executed by the (hemato)oncologist in 39 patients (13%), while an additional intervention was proposed by a clinical pharmacologist in 42 patients (14%). The number of comorbidities and the number of 'over-the-counter' drugs were identified as determinants.
CONCLUSIONS: Clinical interventions on DDIs are frequently required among patients starting with anticancer therapy. Structured screening for these potentially clinically relevant DDIs, by (hemato)oncologists in close collaborations with clinical pharmacologists, should take place before the start and during anticancer treatment. CLINICAL TRIALS NUMBER: This study was registered at the Dutch Trial Registry under number NTR3760.
© The Author 2015. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  cancer; drug–drug interactions; medication review; pharmacodynamics; pharmacokinetics; pharmacology

Mesh:

Substances:

Year:  2015        PMID: 25628444     DOI: 10.1093/annonc/mdv029

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  25 in total

1.  Evaluation of Clinical Relevance of Drug-Drug Interaction Alerts Prior to Implementation.

Authors:  S M M Meslin; W Y Zheng; R O Day; E M Y Tay; M T Baysari
Journal:  Appl Clin Inform       Date:  2018-11-28       Impact factor: 2.342

Review 2.  Targeted cancer therapy: interactions with other medicines.

Authors:  D Conde-Estévez
Journal:  Clin Transl Oncol       Date:  2016-04-25       Impact factor: 3.405

3.  Cytochrome P450 interactions are common and consequential in Massachusetts hospital discharges.

Authors:  T H McCoy; V M Castro; A Cagan; L Snapper; A Roberson; R H Perlis
Journal:  Pharmacogenomics J       Date:  2017-07-11       Impact factor: 3.550

4.  Diclofenac sex-divergent drug-drug interaction with Sunitinib: pharmacokinetics and tissue distribution in male and female mice.

Authors:  Chii Chii Chew; Salby Ng; Yun Lee Chee; Teng Wai Koo; Ming Hui Liew; Evelyn Li-Ching Chee; Pilar Modamio; Cecilia Fernández; Eduardo L Mariño; Ignacio Segarra
Journal:  Invest New Drugs       Date:  2017-03-11       Impact factor: 3.850

Review 5.  Acid-Suppressive Therapy and Risk of Infections: Pros and Cons.

Authors:  Leon Fisher; Alexander Fisher
Journal:  Clin Drug Investig       Date:  2017-07       Impact factor: 2.859

6.  Sunitinib-paracetamol sex-divergent pharmacokinetics and tissue distribution drug-drug interaction in mice.

Authors:  Ming Hui Liew; Salby Ng; Chii Chii Chew; Teng Wai Koo; Yun Lee Chee; Evelyn Li-Ching Chee; Pilar Modamio; Cecilia Fernández; Eduardo L Mariño; Ignacio Segarra
Journal:  Invest New Drugs       Date:  2017-01-09       Impact factor: 3.850

7.  Effects of training physicians in electronic prescribing in the outpatient setting on clinical, learning and behavioural outcomes: a cluster randomized trial.

Authors:  F van Stiphout; J E F Zwart-van Rijkom; J Versmissen; H Koffijberg; J E C M Aarts; I H van der Sijs; T van Gelder; R A de Man; C B Roes; A C G Egberts; E W M T Ter Braak
Journal:  Br J Clin Pharmacol       Date:  2018-03-23       Impact factor: 4.335

8.  High prevalence of potential drug-drug interactions in patients with castration-resistant prostate cancer treated with abiraterone acetate.

Authors:  Rehana Jamani; Esther K Lee; Scott R Berry; Ronak Saluja; Carlo DeAngelis; Angie Giotis; Urban Emmenegger
Journal:  Eur J Clin Pharmacol       Date:  2016-08-25       Impact factor: 2.953

9.  Drug-drug interaction potential in men treated with enzalutamide: Mind the gap.

Authors:  Guillemette Emma Benoist; Inge M van Oort; Stella Smeenk; Adrian Javad; Diederik M Somford; David M Burger; Niven Mehra; Nielka P van Erp
Journal:  Br J Clin Pharmacol       Date:  2017-10-18       Impact factor: 4.335

Review 10.  Recognition, Prevention, and Management of Arrhythmias and Autonomic Disorders in Cardio-Oncology: A Scientific Statement From the American Heart Association.

Authors:  Michael G Fradley; Theresa M Beckie; Sherry Ann Brown; Richard K Cheng; Susan F Dent; Anju Nohria; Kristen K Patton; Jagmeet P Singh; Brian Olshansky
Journal:  Circulation       Date:  2021-06-17       Impact factor: 29.690

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