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Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm
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 hos...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Asthma, Allergy and Clinical Immunology; The Korean Academy of Pediatric Allergy and Respiratory Disease
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061161/ https://www.ncbi.nlm.nih.gov/pubmed/32141257 http://dx.doi.org/10.4168/aair.2020.12.3.430 |
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author | Kang, Yewon Kim, Sae-Hoon Park, So-Young Park, Bo Young Lee, Ji-Hyang An, Jin Won, Ha-Kyeong Song, Woo-Jung Kwon, Hyouk-Soo Cho, You Sook Moon, Hee-Bom Shim, Ju Hyun Yang, Min-Suk Kim, Tae-Bum |
author_facet | Kang, Yewon Kim, Sae-Hoon Park, So-Young Park, Bo Young Lee, Ji-Hyang An, Jin Won, Ha-Kyeong Song, Woo-Jung Kwon, Hyouk-Soo Cho, You Sook Moon, Hee-Bom Shim, Ju Hyun Yang, Min-Suk Kim, Tae-Bum |
author_sort | Kang, Yewon |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7061161 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Korean Academy of Asthma, Allergy and Clinical Immunology; The Korean Academy of Pediatric Allergy and Respiratory Disease |
record_format | MEDLINE/PubMed |
spelling | pubmed-70611612020-05-01 Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm Kang, Yewon Kim, Sae-Hoon Park, So-Young Park, Bo Young Lee, Ji-Hyang An, Jin Won, Ha-Kyeong Song, Woo-Jung Kwon, Hyouk-Soo Cho, You Sook Moon, Hee-Bom Shim, Ju Hyun Yang, Min-Suk Kim, Tae-Bum Allergy Asthma Immunol Res Original Article 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. The Korean Academy of Asthma, Allergy and Clinical Immunology; The Korean Academy of Pediatric Allergy and Respiratory Disease 2020-01-10 /pmc/articles/PMC7061161/ /pubmed/32141257 http://dx.doi.org/10.4168/aair.2020.12.3.430 Text en Copyright © 2020 The Korean Academy of Asthma, Allergy and Clinical Immunology • The Korean Academy of Pediatric Allergy and Respiratory Disease https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kang, Yewon Kim, Sae-Hoon Park, So-Young Park, Bo Young Lee, Ji-Hyang An, Jin Won, Ha-Kyeong Song, Woo-Jung Kwon, Hyouk-Soo Cho, You Sook Moon, Hee-Bom Shim, Ju Hyun Yang, Min-Suk Kim, Tae-Bum Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm |
title | Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm |
title_full | Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm |
title_fullStr | Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm |
title_full_unstemmed | Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm |
title_short | Evaluation of Drug-Induced Liver Injury Developed During Hospitalization Using Electronic Health Record (EHR)-Based Algorithm |
title_sort | evaluation of drug-induced liver injury developed during hospitalization using electronic health record (ehr)-based algorithm |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061161/ https://www.ncbi.nlm.nih.gov/pubmed/32141257 http://dx.doi.org/10.4168/aair.2020.12.3.430 |
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