1
|
Lewis R, Niazi-Ali S, McIvor A, Kanj SS, Maertens J, Bassetti M, Levine D, Groll AH, Denning DW. Triazole antifungal drug interactions-practical considerations for excellent prescribing. J Antimicrob Chemother 2024; 79:1203-1217. [PMID: 38629250 DOI: 10.1093/jac/dkae103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/04/2024] Open
Abstract
Systemic antifungal therapy is critical for reducing the mortality from many invasive and chronic fungal infections. Triazole antifungals are the most frequently prescribed antifungals but require attention to dosing and drug interactions. Nearly 600 severe drug-drug interactions and over 1100 moderate interactions requiring dose modifications are described or anticipated with systemic antifungal agents (see https://www.aspergillus.org.uk/antifungal-drug-interactions/). In this article, we address the common and less common, but serious, drug interactions observed in clinical practice with triazole antifungals, including a group of drugs that cannot be prescribed with all or most triazole antifungals (ivabradine, ranolazine, eplerenone, fentanyl, apomorphine, quetiapine, bedaquiline, rifampicin, rifabutin, sirolimus, phenytoin and carbamazepine). We highlight interactions with drugs used in children and new agents introduced for the treatment of haematological malignancies or graft versus host disease (midostaurin, ibrutinib, ruxolitinib and venetoclax). We also summarize the multiple interactions between oral and inhaled corticosteroids and triazole antifungals, and the strategies needed to optimize the therapeutic benefits of triazole antifungal therapy while minimizing potential harm to patients.
Collapse
Affiliation(s)
- Russell Lewis
- Department of Molecular Medicine, University of Padua, Padua, Italy
| | - Saarah Niazi-Ali
- Antifungal Database Consultancy Pharmacist, Fungal Infection Trust, PO Box 482, Macclesfield, Cheshire SK10 9AR, UK
| | - Andrew McIvor
- Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Souha S Kanj
- Division of Infectious Diseases, Department of Internal Medicine and Center for Infectious Diseases Research, American University of Beirut Medical Center, Beirut, Lebanon
| | - Johan Maertens
- Department of Microbiology, Immunology, and Transplantation, Department of Haematology, University Hospitals Leuven, KU Leuven, Leuven, Belgium
| | - Matteo Bassetti
- Department of Health Sciences, Infectious Diseases Clinic, University of Genoa and Ospedale Policlinico San Martino IRCCS, Genoa, Italy
| | - Deborah Levine
- Lung Transplant Program, Division of Pulmonary Critical Care and Allergy, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Andreas H Groll
- Infectious Disease Research Program, Center for Bone Marrow Transplantation and Department of Pediatric Hematology/Oncology, Children's University Hospital, Albert-Schweitzer-Campus 1, Building A1, Münster, 48149, Germany
| | - David W Denning
- Manchester Fungal Infection Group, The University of Manchester and Manchester Academic Health Science Centre, Manchester, UK
| |
Collapse
|
2
|
Cocco M, Carnovale C, Clementi E, Barbieri MA, Battini V, Sessa M. Exploring the impact of co-exposure timing on drug-drug interactions in signal detection through spontaneous reporting system databases: a scoping review. Expert Rev Clin Pharmacol 2024; 17:441-453. [PMID: 38619027 DOI: 10.1080/17512433.2024.2343875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 04/12/2024] [Indexed: 04/16/2024]
Abstract
INTRODUCTION Drug-drug interactions (DDIs) are defined as the pharmacological effects produced by the concomitant administration of two or more drugs. To minimize false positive signals and ensure their validity when analyzing Spontaneous Reporting System (SRS) databases, it has been suggested to incorporate key pharmacological principles, such as temporal plausibility. AREAS COVERED The scoping review of the literature was completed using MEDLINE from inception to March 2023. Included studies had to provide detailed methods for identifying DDIs in SRS databases. Any methodological approach and adverse event were accepted. Descriptive analyzes were excluded as we focused on automatic signal detection methods. The result is an overview of all the available methods for DDI signal detection in SRS databases, with a specific focus on the evaluation of the co-exposure time of the interacting drugs. It is worth noting that only a limited number of studies (n = 3) have attempted to address the issue of overlapping drug administration times. EXPERT OPINION Current guidelines for signal validation focus on factors like the number of reports and temporal association, but they lack guidance on addressing overlapping drug administration times, highlighting a need for further research and method development.
Collapse
Affiliation(s)
- Marianna Cocco
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
- Department of Drug Sciences, University of Pavia, Pavia, Italy
| | - Carla Carnovale
- Pharmacovigilance & Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università Degli Studi di Milano, Milan, Italy
| | - Emilio Clementi
- Pharmacovigilance & Clinical Research, International Centre for Pesticides and Health Risk Prevention, Department of Biomedical and Clinical Sciences (DIBIC), ASST Fatebenefratelli-Sacco University Hospital, Università Degli Studi di Milano, Milan, Italy
- Scientific Institute, IRCCS E. Medea, Bosisio Parini, LC, Italy
| | - Maria Antonietta Barbieri
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
| | - Vera Battini
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| | - Maurizio Sessa
- Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
3
|
Noguchi Y, Tachi T, Teramachi H. Comment on: 'Detecting drug-drug interactions that increase the incidence of long QT syndrome using a spontaneous reporting system' by Matsuo et al. J Clin Pharm Ther 2021; 47:709-710. [PMID: 34964163 DOI: 10.1111/jcpt.13592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 12/13/2021] [Indexed: 11/30/2022]
Affiliation(s)
- Yoshihiro Noguchi
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan
| | - Tomoya Tachi
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan
| | - Hitomi Teramachi
- Laboratory of Clinical Pharmacy, Gifu Pharmaceutical University, Gifu, Japan
| |
Collapse
|