Browsing by Subject "drug-induced liver injury"

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    Development and Validation of Model Consisting of Comorbidity Burden to Calculate Risk of Death Within 6 months for Patients With Suspected Drug-Induced Liver Injury
    (Elsevier, 2019-11) Ghabril, Marwan; Gu, Jiezhun; Yoder, Lindsay; Corbito, Laura; Ringel, Amit; Beyer, Christian D.; Vuppalanchi, Raj; Barnhart, Huiman; Hayashi, Paul H.; Chalasani, Naga; Medicine, School of Medicine
    Background & Aims: Patients with drug-induced liver injury (DILI) frequently have comorbid conditions, but the effects of non-liver comorbidities on outcome is not well understood. We investigated the association between co-morbidity burden and outcomes of patients with DILI, and developed and validated a model to calculate risk of death within 6 months. Methods: A multiple logistic regression model identified variables independently associated with death within 6 months of presenting with suspected DILI (6-month mortality) for 306 patients enrolled in the DILIN prospective study at Indiana University (discovery cohort). The model was validated using data from 247 patients with suspected DILI enrolled in the same study at the University of North Carolina (validation cohort). Medical comorbidity burden was calculated using the Charlson comorbidity index—patients with scores higher than 2 were considered to have significant comorbidities. Results: Six-month mortality was 8.5% in the discovery cohort and 4.5% in the validation cohort. In the discovery cohort, significant comorbidities (odds ratio [OR], 5.4; 95% CI 2.1 – 13.8), model for end-stage liver disease score (OR, 1.11; 95% CI, 1.04–1.17), and serum level of albumin at presentation (OR, 0.39; 95% CI, 0.2–0.76) were independently associated with 6-month mortality. A model based on these 3 variables identified patients who died within 6 months with c-statistic values of 0.89 (95% CI, 0.86–0.94) in the discovery cohort and 0.91 (95% CI, 0.83–0.99) in the validation cohort. We developed a web-based calculator to determine risk of death within 6 months for patients with suspected DILI for use in the clinic. Conclusions: We developed and validated a model based on comorbidity burden, model for end-stage liver disease score, and serum level of albumin that predicts 6-month mortality in patients with suspected DILI.
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    Development of a Modified Lymphocyte Transformation Test for Diagnosing Drug Induced Liver Injury Associated with an Adaptive Immune Response
    (Taylor & Francis, 2017-12) Whritenour, Jessica; Ko, Mira; Zong, Qing; Wang, Jianying; Tartaro, Karrie; Schneider, Patricia; Olson, Ellen; Van Volkenburg, Maria; Serrano, Jose; Hayashi, Paul; Fontana, Robert; Chalasani, Naga; Bonkovsky, Herbert L.; Medicine, School of Medicine
    Drug induced liver injury (DILI) is a growing problem. Diagnostic methods to differentiate DILI caused by an adaptive immune response from liver injury of other causes or to identify the responsible drug in patients receiving multiple drugs, herbals, and/or dietary supplements (polypharmacy) have not yet been established. The lymphocyte transformation test (LTT) has been proposed as a diagnostic method to determine if a subject with an apparent hypersensitivity reaction has become sensitized to a specific drug. In this test, peripheral blood mononuclear cells (PBMC) collected from a subject are incubated with drug(s) suspected of causing the reaction. Cell proliferation, measured by the incorporation of [3H]-thymidine into new DNA, is considered evidence of a drug-specific immune response. The objectives of the current studies were to: 1) develop and optimize a modified version of the LTT (mLTT) and 2) investigate the feasibility of using the mLTT for diagnosing DILI associated with an adaptive immune response and identifying the responsible drug. PBMC collected from donors with a history of drug hypersensitivity reactions to specific drugs (manifested as skin rash) were used as positive controls for assay optimization. Following optimization, samples collected from 24 subjects enrolled in the U.S. Drug-Induced Liver Injury Network (DILIN) were tested in the mLTT. Using cytokine and granzyme B production as the primary endpoints to demonstrate lymphocyte sensitization to a specific drug, most samples from the DILIN subjects failed to respond. However, robust positive mLTT responses were observed for two of four samples from three DILIN subjects with hepatitis due to isoniazid (INH). We conclude that the mLTT, as performed here on frozen and thawed PBMC, is not a reliable test for diagnosing DILI caused by all drugs, but that it may be useful for confirming the role of the adaptive immune response in DILI ascribed to INH.
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    Eight‐Fold Increase in Dietary Supplement–Related Liver Failure Leading to Transplant Waitlisting Over the Last Quarter Century in the United States
    (Wiley, 2022-02) Ghabril, Marwan; Ma, Jiayi; Patidar, Kavish R.; Nephew, Lauren; Desai, Archita P.; Orman, Eric S.; Vuppalanchi, Raj; Kubal, Shekhar; Chalasani, Naga; Medicine, School of Medicine
    We investigated the trends in listing and outcomes of drug-induced acute liver failure (DIALF) over the last quarter century in the United States using the United Network for Organ Sharing (UNOS) database. We examined waitlisted patients in the UNOS database between 1995 and 2020 with a diagnosis of DIALF and assessed trends in etiologies, demographic and clinical characteristics, and outcomes over 3 periods: 1995-2003, 2004-2012, and 2013-2020. Patients with DIALF and cirrhosis were classified as drug-induced acute-on-chronic liver failure. Implicated agents including acetaminophen (APAP) and herbal or dietary supplements (HDSs) were ascertained. There were 2146 individuals with DIALF during the study period. The observed demographic trends between the earliest and latest period included fewer pediatric patients (18.8% to 13.5%) but with an increasing number of males in non-APAP DIALF (31.8% to 41.4%) and increased racial diversity in APAP DIALF. Antimicrobials remained the most common non-APAP agents across all periods, but antiepileptics, propylthiouracil, and mushroom poisoning decreased, while HDSs markedly increased from 2.9% to 24.1% of all non-APAP DIALF patients. The overall 5-year post-liver transplantation (LT) patient survival improved significantly over the 3 periods (69.9% to 77.4% to 83.3%) and was evident for both APAP and non-APAP DIALF. Over the last quarter century, there has been an 8-fold increase in HDS-related liver failure necessitating waitlisting for liver transplantation in the United States. There are other important temporal trends during the study period, including improved survival following LT among both APAP and non-APAP DIALF patients.
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    Exploratory Study of Autoantibody Profiling in Drug‐Induced Liver Injury with an Autoimmune Phenotype
    (Wiley, 2020-09-01) Lammert, Craig; Zhu, Chengsong; Lian, Yun; Raman, Indu; Eckert, George; Li, Quan‐Zhen; Chalasani, Naga; Medicine, School of Medicine
    Drug‐induced liver injury (DILI) sometimes presents with an autoimmune hepatitis‐like phenotype (AI‐DILI), and it is challenging to distinguish it from de novo autoimmune hepatitis (AIH). We conducted a study to identify autoantibodies unique to AI‐DILI by profiling serum autoantibodies. Autoantibodies were quantified using an autoantigen array containing 94 autoantigens from four groups: AI‐DILI (n = 65), DILI controls (n = 67), de novo AIH (n = 17), and healthy controls (HCs; n = 30). In 37 patients with AI‐DILI, samples were also collected 6 months after presentation. AI‐DILI and de novo AIH had similar anti‐neutrophil antibody and anti‐smooth muscle antibody prevalence. Compared to HCs, de novo AIH had an increase in many immunoglobulin G (IgG; 35 [46.1%]) and IgM (51 [70%]) autoantibodies, whereas AI‐DILI had an increase of IgM (40 [54.8%]) but not IgG autoantibodies. DILI controls had a similar IgG and IgM profile compared to HCs. Comparing de novo AIH to AI‐DILI identified 18 (23.7%) elevated IgG but only one (1.4%) IgM autoantibodies, indicating the unique IgG autoantibody profile in de novo AIH. Compared to DILI and HCs, increased IgM autoantibodies in AI‐DILI and de novo AIH were common; however, AI‐DILI induced by different drugs showed different frequencies of IgM autoantibodies, with nitrofurantoin‐related AI‐DILI showing a higher number of increased IgM autoantibodies. AI‐DILI autoantibody levels at diagnosis and at 6 months showed a significant decline in 37 IgM autoantibodies. A model with highly correlated IgG and IgM was fitted into multivariate logistic regression and revealed an area under the curve of 0.87 (95% confidence interval, 0.79‐0.95) to distinguish de novo AIH from AI‐DILI. Conclusion: The unique IgG and IgM autoantibody signature appears to be a promising biomarker for distinguishing AI‐DILI from de novo AIH.