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Comparison of laboratory threshold criteria in drug-induced liver injury detection algorithms for use in pharmacovigilance.

Eng Hooi TanZheng Jye LingPei San AngCynthia SungYock Young DanBee Choo Tai
Published in: Pharmacoepidemiology and drug safety (2020)
More stringent criteria (DEWG and DILIN) performed better in terms of PPV, specificity, accuracy and F-measure. CIOMS performed better in terms of sensitivity. An algorithm with high sensitivity is useful in pharmacovigilance for detecting rare events and to avoid missing cases. Requiring at least two abnormal liver chemistries during hospitalization and text-word searching in the discharge summaries decreased false positives without loss in sensitivity.
Keyphrases
  • adverse drug
  • machine learning
  • drug induced
  • deep learning
  • loop mediated isothermal amplification
  • emergency department
  • smoking cessation
  • label free
  • real time pcr