Tools for causality assessment in drug-induced liver disease

被引:24
作者
Tillmann, Hans L. [1 ,2 ]
Suzuki, Ayako [3 ,4 ]
Barnhart, Huiman X. [5 ]
Serrano, Jose [6 ]
Rockey, Don C. [7 ]
机构
[1] East Carolina Univ, Dept Med, Div Gastroenterol, Greenville, NC 27834 USA
[2] Greenville VA Healthcare Ctr, Greenville, NC USA
[3] Duke Univ, Div Gastroenterol, Durham, NC USA
[4] Duke Univ, Med Ctr, Durham VA Med Ctr, Durham, NC USA
[5] Duke Univ, Med Ctr, Duke Duke Clin Res Inst, Durham, NC USA
[6] NIDDK, Liver Res Branch, Div Digest Dis & Nutr, Bethesda, MD USA
[7] Med Univ South Carolina, Dept Med, Charleston, SC 29425 USA
关键词
adverse liver events; causality; diagnostic criteria; differential diagnosis; drug-induced liver injury; drug toxicity; hepatotoxicity; liver disease; scoring system; DIAGNOSTIC SCALE; INJURY; ALGORITHM; RISK;
D O I
10.1097/MOG.0000000000000526
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
Purpose of review There are three liver-specific causality assessment tools currently available to guide clinical diagnosis of Drug-Induced Liver Injury (DILI): Roussel-Uclaf Causality Assessment Method (RUCAM), Digestive-Disease-Week Japan 2004 scale (DDW-J), and Clinical Diagnostic Scale (CDS). The purpose of this review is to assess these tools and discuss how to improve the causality assessment process as a whole. Recent findings Existing DILI-specific causality assessment tools are surprisingly similar and exhibit only minor differences in point allocation. But difference in threshold for likelihood of being DILI. We reviewed the literature on currently used causality assessment tools, identified areas for future improvement, and herein propose approaches for refinement. Opportunities to improve current models, as well as the assessment process, in general, include in particular provision of more precise clinical detail and to perhaps add new components to scoring systems. For example, the incorporation of drug-specific clinical signature patterns, accounting for a drug's inherent hepatotoxicity potential, and/or incorporation of other drug properties to scoring systems may allow enhancement. Further, more systemic exclusion of competing diagnoses is needed. Finally, causality assessment processes will likely benefit from a data-driven and computer-assisted approach. Summary Current tools used for DILI adjudication are imperfect. Avenues to improve these tools are described.
引用
收藏
页码:183 / 190
页数:8
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