An ADR pharmaceutical care for severe gastrointestinal bleeding of rivaroxaban in a patient with nonvalvular atrial fibrillation based on TDM and genetic testing: a case report.
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Abstract
Background: Due to its predictable pharmacodynamics and pharmacokinetics, stable blood concentration, and relatively short half-life, rivaroxaban is widely used in the prevention and treatment of thrombosis. It nevertheless exhibits a certain level of inter-individual variability, and its safety concerns, including bleeding, are also becoming more noteworthy.
Case presentation: This paper describes an elderly patient with nonvalvular atrial fibrillation that was complicated with coronary heart disease, who is a homozygous mutation carrier of the ABCB1 allele (rs1045642 C > T, rs1128503 C > T, rs2032582 G > T). He was developed severe gastrointestinal bleeding during administration of oral rivaroxaban combined with aspirin. We investigated the possible causes of the bleeding, and any potential correlation with the ABCB1 gene polymorphism, combined with antiplatelet drugs and anemia.
Conclusion: In the treatment of patients with atrial fibrillation, doctors should pay close attention to drug interactions with antiplatelet agents in high-risk groups and closely monitor various examination indexes, including hemoglobin. In this case, bleeding might be potentially influenced by homozygous mutations in ABCB1, but more clinical data are needed to clarify the association between ABCB1 polymorphism and rivaroxaban pharmacokinetics and bleeding.
背景:利伐沙班因其可预测的药效学和药代动力学、稳定的血药浓度和相对较短的半衰期,被广泛应用于血栓的预防和治疗。然而,它表现出一定程度的个体间差异,其安全性问题,包括出血,也变得越来越值得注意。病例介绍:本文报道1例老年非瓣膜性房颤合并冠心病患者,ABCB1等位基因(rs1045642 C > T, rs1128503 C > T, rs2032582 G > T)纯合突变携带者。在口服利伐沙班联合阿司匹林期间,他出现了严重的胃肠道出血。我们调查了出血的可能原因,以及ABCB1基因多态性与抗血小板药物和贫血的潜在关系。结论:在房颤患者的治疗中,应密切关注高危人群药物与抗血小板药物的相互作用,密切监测血红蛋白等各项检查指标。在这种情况下,出血可能受到ABCB1纯合突变的潜在影响,但需要更多的临床数据来阐明ABCB1多态性与利伐沙班药代动力学和出血之间的关系。
期刊介绍:
BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.