Shahbaz Omar, Mahajan Sandeep, Lewis James H
a Department of Medicine, Division of Gastroenterology, Hepatology Section , Georgetown University Hospital , Washington , DC , USA.
Expert Opin Drug Metab Toxicol. 2017 Sep;13(9):935-951. doi: 10.1080/17425255.2017.1362391.
Over 1500 papers on drug-induced liver injury (DILI) and herb-induced liver injury (HILI) were published in 2016, many of which have the potential to impact clinical practice. Areas covered: Clinical studies and case series that lent themselves to new concepts in diagnosing, and treating DILI were selected for inclusion. Epidemiology of DILI in large prospective registries was highlighted. Causality assessment of drug hepatotoxicity remains challenging, as seen with cases of OxyELITE Pro (OEP). In 2016 updates to the Roussel Uclaf Causality Assessment Method (RUCAM) were published to aid in the accuracy of diagnosing DILI/HILI. New reports of established hepatotoxins were again discussed in 2016, including genetic risk factors for DILI with respect to antituberculous agents. Expert opinion: 2016 marked a turning point in how much credence should be placed in the current causality assessment for DILI/HILI cases. Many recognized hepatotoxins are backed by a relatively few number of literature reports. Danan and Teschke make a strong case that an updated RUCAM should remain the gold standard for diagnosing DILI/HILI going forward, although the role of expert opinion is often still needed in cases where RUCAM falls short. The field of chemoinformatics continues to evolve while we await a truly predictive and diagnostic DILI biomarker.
2016年发表了超过1500篇关于药物性肝损伤(DILI)和草药性肝损伤(HILI)的论文,其中许多论文有可能影响临床实践。涵盖领域:选择了有助于DILI诊断和治疗新概念的临床研究和病例系列纳入其中。强调了大型前瞻性登记处中DILI的流行病学情况。药物肝毒性的因果关系评估仍然具有挑战性,如OxyELITE Pro(OEP)病例所示。2016年发布了对鲁塞尔·乌克拉夫因果关系评估方法(RUCAM)的更新,以提高DILI/HILI诊断的准确性。2016年再次讨论了已确定的肝毒素的新报告,包括抗结核药物所致DILI的遗传风险因素。专家意见:2016年标志着在当前对DILI/HILI病例因果关系评估的可信度方面的一个转折点。许多公认的肝毒素仅有相对较少的文献报道作为支撑。达南和特施克有力地证明,更新后的RUCAM应继续作为未来诊断DILI/HILI的金标准,尽管在RUCAM不足的情况下通常仍需要专家意见。在我们等待真正具有预测性和诊断性的DILI生物标志物时,化学信息学领域仍在不断发展。