McCoy T H, Castro V M, Cagan A, Snapper L, Roberson A, Perlis R H
Center for Experimental Drugs and Diagnostics, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Partners Research Computing, Partners HealthCare System, One Constitution Center, Boston, MA, USA.
Pharmacogenomics J. 2018 Apr;18(2):347-350. doi: 10.1038/tpj.2017.30. Epub 2017 Jul 11.
Despite the recognition that drug-drug interactions contribute substantially to preventable health-care costs, the prevalence of such interactions related to the cytochrome P450 system in clinical practice remains poorly characterized. This study drew retrospective hospital discharge cohorts from a large health claims data set and a large health system data set. For every hospital discharge, frequency of co-occurrence of substrates and inducers or inhibitors at cytochrome P450 2D6, 2C19, 3A4 and 1A2 were determined. A total of 124 520 individuals in the state of Massachusetts (health claims cohort) and 77 026 individuals in two large academic medical centers (electronic health record (EHR) cohort) were examined. In the claims cohort, 35 157 (28.2%) exhibited at least one CYP450 drug-drug interaction at hospital discharge, whereas in the EHR cohort, 36 750 (47.7%) had at least one interaction. The most commonly affected CYP450 systems were 2C19 and 2D6, with putative interactions observed in at least 10% of individuals at discharge in each cohort. Odds of hospital readmission within 90 days among those discharged with at least one interaction were 10-16% greater, with mean health-care cost $574/month greater over the subsequent year, after adjusting for age, sex, insurance type, total number of medications prescribed, Charlson comorbidity score and presence or absence of a psychiatric diagnosis. These two distinct clinical data types show that CYP450 drug-drug interactions are prevalent and associated with greater probability of early hospital readmission and greater health-care cost, despite the widespread availability and application of drug-drug interaction checking software.
尽管人们认识到药物相互作用在很大程度上导致了可预防的医疗保健成本,但在临床实践中,与细胞色素P450系统相关的此类相互作用的发生率仍缺乏充分的特征描述。本研究从一个大型健康保险数据集和一个大型医疗系统数据集中提取了回顾性医院出院队列。对于每一次医院出院,确定细胞色素P450 2D6、2C19、3A4和1A2底物与诱导剂或抑制剂同时出现的频率。对马萨诸塞州的124520名个体(健康保险队列)和两个大型学术医疗中心的77026名个体(电子健康记录(EHR)队列)进行了检查。在保险队列中,35157人(28.2%)在出院时表现出至少一种CYP450药物相互作用,而在EHR队列中,36750人(47.7%)有至少一种相互作用。受影响最常见的CYP450系统是2C19和2D6,在每个队列中至少10%的出院个体中观察到推定的相互作用。在调整了年龄、性别、保险类型、所开药物总数、查尔森合并症评分以及是否存在精神疾病诊断后,至少有一种相互作用的出院患者在90天内再次入院的几率高出10%-16%,随后一年的平均医疗保健成本每月高出574美元。这两种不同的临床数据类型表明,尽管药物相互作用检查软件已广泛可用并得到应用,但CYP450药物相互作用仍然普遍存在,并且与早期医院再入院的可能性增加以及更高的医疗保健成本相关。