Evaluation of drug-induced liver injury developed during hospitalization using Electronic Health Record (EHR)-based algorithm

Yewon Kang, Sae Hoon Kim, So Young Park, Bo Young Park, Ji Hyang Lee, Jin An, Ha Kyeong Won, Woo Jung Song, Hyouk Soo Kwon, You Sook Cho, Hee Bom Moon, Ju Hyun Shim, Min Suk Yang, Tae Bum Kim

Research output: Contribution to journalArticlepeer-review

25 Citations (Scopus)

Abstract

Purpose: The incidence of drug-induced liver injury (DILI) has been increasing; however, few algorithms are available to identify DILI in electronic health records (EHRs). We aimed to identify and evaluate DILI with an appropriate screening algorithm.Methods: We collected data from 3 university hospitals between June 2015 and May 2016 using our newly developed algorithm for identifying DILI. Among patients with alanine transferase (ALT) ≤ 120 IU/L and total bilirubin (TB) ≤ 2.4 mg/dL in blood test results within 48 hours of admission, those who either had 1) ALT > 120 IU/L and TB > 2.4 mg/dL or 2) ALT > 200 IU/L at least once during hospitalization were identified. After excluding patients with liver disease-related diagnosis at discharge, medical records were retrospectively reviewed to evaluate epidemiological characteristics of DILI. Results: The total number of inpatients was 256,598, of whom 1,100 (0.43%) were selected by the algorithm as suspected DILI. Subsequently, 365 cases (0.14% of total inpatients, 95% confidence interval, 0.13-0.16) were identified as DILI, yielding a positive predictive value of 33.1%. Antibiotics (n = 214, 47.2%) were the major class of causative drug followed by chemotherapeutic agents (n = 87, 19.2%). The most common causative drug was piperacillin-tazobactam (n = 38, 8.4%); the incidence of DILI by individual agent was highest for methotrexate (19.4 cases/1,000 patients administered the drug). Common reasons for excluding suspected DILI cases were ischemic hepatitis and postoperative liver dysfunction. Conclusions: Using our EHR-based algorithm, we identified that approximately 0.14% of patients developed DILI during hospitalization. Further studies are needed to modify criteria for more accurate identification of DILI.

Original languageEnglish
Pages (from-to)430-442
Number of pages13
JournalAllergy, Asthma and Immunology Research
Volume12
Issue number3
DOIs
Publication statusPublished - May 2020

Bibliographical note

Publisher Copyright:
© 2020 The Korean Academy of Asthma.

Keywords

  • Adverse drug reaction
  • Algorithms
  • Drug-induced liver injury
  • Electronic health records
  • Pharmacoepidemiology

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