Areesha Mansoor, Maryam Shahzad, Eeshal Zulfiqar, Muneeba Ahsan, Rimsha Adnan, Sean Kaisser Shaeen, Umm E Salma Shabbar Banatwala, Abdullah Malikzai
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引用次数: 0
Abstract
Anti-seizure medications (ASMs) are specific types of anticonvulsants used to treat epileptic seizures. However, several studies have shown an association between ASMs and an increased risk of hematological disorders, such as thrombocytopenia, aplastic anemia, and platelet function disorders leading to prolonged bleeding times. This review explores the existing literature on this topic, investigating a wide variety of ASMs, ranging from first-generation medications to newer ones. A comprehensive search was conducted on all the currently approved ASMs using PubMed and Google Scholar: review articles, clinical trials, meta-analysis, observational studies, case reports, and relevant animal studies were identified. We extracted 15 ASMs including valproic acid (VPA), carbamazepine, phenytoin, phenobarbital, diazepam, clonazepam, lamotrigine, levetiracetam, oxcarbazepine, felbamate, topiramate, pregabalin, lacosamide, cannabidiol (CBD), and perampanel that contain considerable literature regarding different coagulopathies. An in-depth review of over 140 studies revealed a robust association between ASM-induced changes and the onset of bleeding disorders via several different mechanisms. Polytherapy, the use of multiple ASMs, also emerged as a significant risk factor for the development of coagulopathies. This review highlights the potential link between ASMs and bleeding disorders, emphasizing the importance of considering this risk during treatment planning. By understanding these associations, healthcare providers can optimize patient outcomes and minimize bleeding risks. Additionally, this review identifies the need for further research to bridge current knowledge gaps in clinical pharmacology related to ASMs and bleeding disorders.
期刊介绍:
Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.