A novel quantitative computer-assisted drug-induced liver injury causality assessment tool (DILI-CAT).

ABSTRACT:

Background and aims

We hypothesized that a drug's clinical signature (or phenotype) of liver injury can be assessed and used to quantitatively develop a computer-assisted DILI causality assessment-tool (DILI-CAT). Therefore, we evaluated drug-specific DILI-phenotypes for amoxicillin-clavulanate (AMX/CLA), cefazolin, cyproterone, and Polygonum multiflorum using data from published case series, to develop DILI-CAT scores for each drug.

Methods

Drug specific phenotypes were made up of the following three clinical features: (1) latency, (2) R-value, and (3) AST/ALT ratio. A point allocation system was developed with points allocated depending on the variance from the norm (or "core") for the 3 variables in published datasets.

Results

The four drugs had significantly diffe

SUBMITTER: Tillmann HL 

PROVIDER: S-EPMC9521919 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature