Browsing by Subject "Causality"

Now showing 1 - 5 of 5
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    Clinical Characteristics and HLA Associations of Azithromycin-Induced Liver Injury
    (Wiley, 2024) Conlon, Caroline; Li, Yi-Ju; Ahmad, Jawad; Barnhart, Huiman; Fontana, Robert J.; Ghabril, Marwan; Hayashi, Paul H.; Kleiner, David E.; Lee, William M.; Navarro, Victor; Odin, Joseph A.; Phillips, Elizabeth J.; Stolz, Andrew; Vuppalanchi, Raj; Halegoua-DeMarzio, Dina; Drug-Induced Liver Injury Network (DILIN); Medicine, School of Medicine
    Background: Azithromycin (AZ) is a widely used antibiotic. The aim of this study was to characterise the clinical features, outcomes, and HLA association in patients with drug-induced liver injury (DILI) due to AZ. Methods: The clinical characteristics of individuals with definite, highly likely, or probable AZ-DILI enrolled in the US Drug-Induced Liver Injury Network (DILIN) were reviewed. HLA typing was performed using an Illumina MiSeq platform. The allele frequency (AF) of AZ-DILI cases was compared to population controls, other DILI cases, and other antibiotic-associated DILI cases. Results: Thirty cases (4 definite, 14 highly likely, 12 probable) of AZ-DILI were enrolled between 2004 and 2022 with a median age of 46 years, 83% white, and 60% female. Median duration of AZ treatment was 5 days. Latency was 18.5 days. 73% were jaundiced at presentation. The injury pattern was hepatocellular in 60%, cholestatic in 27%, and mixed in 3%. Ten cases (33%) were severe or fatal; 90% of these were hepatocellular. Two patients required liver transplantation. One patient with chronic liver disease died of hepatic failure. Chronic liver injury developed in 17%, of which 80% had hepatocellular injury at onset. HLA-DQA1*03:01 was significantly more common in AZ-DILI versus population controls and amoxicillin-clavulanate DILI cases (AF: 0.29 vs. 0.11, p = 0.001 and 0.002, respectively). Conclusion: Azithromycin therapy can lead to rapid onset of severe hepatic morbidity and mortality in adult and paediatric populations. Hepatocellular injury and younger age were associated with worse outcomes. HLA-DQA1*03:01 was significantly more common in AZ cases compared to controls.
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    Clinical features, outcomes, and HLA risk factors associated with nitrofurantoin-induced liver injury
    (Elsevier, 2023) Chalasani, Naga; Li, Yi-Ju; Dellinger, Andrew; Navarro, Victor; Bonkovsky, Herbert; Fontana, Robert J.; Gu, Jiezhun; Barnhart, Huiman; Phillips, Elizabeth; Lammert, Craig; Schwantes-An, Tae-Hwi; Nicoletti, Paola; Kleiner, David E.; Hoofnagle, Jay H.; Drug Induced Liver Injury Network; Medicine, School of Medicine
    Background & aims: Nitrofurantoin (NTF) is widely used for the treatment (short-term) and prevention (long-term) of urinary tract infections. We aimed to describe the clinical characteristics, outcomes, and HLA risk factors for NTF-induced liver injury (NTF-DILI) among individuals enrolled in the Drug Induced Liver Injury Network (DILIN). Methods: Seventy-eight individuals with definite, highly likely, or probable NTF-DILI were enrolled into DILIN studies between 2004-2020. HLA alleles were compared between NTF-DILI and three control groups: population (n = 14,001), idiopathic autoimmune hepatitis (n = 231), and non-NTF DILI (n = 661). Results: Liver injury was hepatocellular in 69% and icteric in 55%. AST > ALT was more common in the 44 long-exposure (≥1 year) NTF-DILI cases than in the 18 short (≤7 days) and 16 intermediate (>7 to <365 days) exposure cases (73% vs. 33% vs. 50%, respectively, p = 0.018), as was ANA or SMA positivity (91% vs. 44% vs. 50%, respectively, p <0.001), and corticosteroid use (61% vs. 27% vs. 44%, respectively, p = 0.06). In long-term NTF-DILI, bridging fibrosis, nodularity or cirrhosis, or clinical and imaging evidence for cirrhosis were present in 38%, with massive or sub-massive necrosis in 20%. No one in the short-term exposure group died or underwent transplantation, whereas 7 (12%) patients from the other groups died or underwent transplantation. After covariate adjustments, HLA-DRB1∗11:04 was significantly more frequent in NTF-DILI compared to population controls (odds ratio [OR] 4.29, p = 1.15 × 10-4), idiopathic autoimmune hepatitis (OR 11.77, p = 7.76 × 10-5), and non-NTF DILI (OR 3.34, p = 0.003). Conclusion: NTF-DILI can result in parenchymal necrosis, bridging fibrosis, cirrhosis, and death or liver transplantation, especially with long-term exposure, and is associated with HLA-DRB1∗11:04. To mitigate against serious liver injury associated with NTF, regulators should revise the prescribing information and consider other mitigation strategies. Impact and implications: Nitrofurantoin is a recognized cause of drug-induced liver injury (DILI). In this study consisting of a large cohort of well-phenotyped individuals with nitrofurantoin-induced liver injury, two distinct patterns of liver injury were identified: liver injury associated with short-term exposure, which is generally self-limiting, and liver injury associated with long-term exposure, which can lead to advanced fibrosis, cirrhosis and liver failure. HLA DRB1∗11:04 is a risk factor for liver injury due to long-term nitrofurantoin exposure. Our findings are important for regulators as well as physicians prescribing and pharmacists dispensing nitrofurantoin.
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    Diabetes, Pancreatogenic Diabetes, and Pancreatic Cancer
    (American Diabetes Association, 2017-05) Andersen, Dana K.; Korc, Murray; Petersen, Gloria M.; Eibl, Guido; Li, Donghui; Rickels, Michael R.; Chari, Suresh T.; Abbruzzese, James L.; Medicine, School of Medicine
    The relationships between diabetes and pancreatic ductal adenocarcinoma (PDAC) are complex. Longstanding type 2 diabetes (T2DM) is a risk factor for pancreatic cancer, but increasing epidemiological data point to PDAC as also a cause of diabetes due to unknown mechanisms. New-onset diabetes is of particular interest to the oncology community as the differentiation of new-onset diabetes caused by PDAC as distinct from T2DM may allow for earlier diagnosis of PDAC. To address these relationships and raise awareness of the relationships between PDAC and diabetes, a symposium entitled Diabetes, Pancreatogenic Diabetes, and Pancreatic Cancer was held at the American Diabetes Association's 76th Scientific Sessions in June 2016. This article summarizes the data presented at that symposium, describing the current understanding of the interrelationships between diabetes, diabetes management, and pancreatic cancer, and identifies areas where additional research is needed.
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    Informative Causality Extraction from Medical Literature via Dependency-Tree-Based Patterns
    (Springer, 2022-05-25) Kabir, M. Ahsanul; Almulhim, AlJohara; Luo, Xiao; Al Hasan, Mohammad; Computer Science, Luddy School of Informatics, Computing, and Engineering
    Extracting cause-effect entities from medical literature is an important task in medical information retrieval. A solution for solving this task can be used for compilation of various causality relations, such as causality between disease and symptoms, between medications and side effects, and between genes and diseases. Existing solutions for extracting cause-effect entities work well for sentences where the cause and the effect phrases are name entities, single-word nouns, or noun phrases consisting of two to three words. Unfortunately, in medical literature, cause and effect phrases in a sentence are not simply nouns or noun phrases, rather they are complex phrases consisting of several words, and existing methods fail to correctly extract the cause and effect entities in such sentences. Partial extraction of cause and effect entities conveys poor quality, non-informative, and often, contradictory facts, comparing to the one intended in the given sentence. In this work, we solve this problem by designing an unsupervised method for cause and effect phrase extraction, patterncausality, which is specifically suitable for the medical literature. Our proposed approach first uses a collection of cause-effect dependency patterns as template to extract head words of cause and effect phrases and then it uses a novel phrase extraction method to obtain complete and meaningful cause and effect phrases from a sentence. Experiments on a cause-effect dataset built from sentences from PubMed articles show that for extracting cause and effect entities, patterncausality is substantially better than the existing methods—with an order of magnitude improvement in the F-score metric over the best of the existing methods. We also build different variants of patterncausality, which use different phrase extraction methods; all variants are better than the existing methods. patterncausality and its variants also show modest performance improvement over the existing methods for extracting cause and effect entities in a domain-neutral benchmark dataset, in which cause and effect entities are nouns or noun phrases consisting of one to two words.
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    Value of liver biopsy in the diagnosis of drug-induced liver injury
    (Elsevier, 2022) Ahmad, Jawad; Barnhart, Huiman X.; Bonacini, Maurizio; Ghabril, Marwan; Hayashi, Paul H.; Odin, Joseph A.; Rockey, Don C.; Rossi, Simona; Serrano, Jose; Tillmann, Hans L.; Kleiner, David E.; Drug-Induced Liver Injury Network; Medicine, School of Medicine
    Background & aims: The utility of liver biopsy in diagnosing or staging idiosyncratic drug-induced liver injury (DILI) is unclear. The aim of this study was to determine whether liver histology impacted causality assessment in suspected DILI using a novel simulation model. Methods: Fifty patients enrolled in the DILI Network (DILIN) who had liver biopsies performed within 60 days of DILI onset were randomly selected. All had standard DILIN consensus causality scoring using a 5-point scale (1=definite, 2=highly likely, 3=probable, 4=possible, 5=unlikely) based on 6-month post-injury data. Three experienced hepatologists independently performed a causality assessment using redacted case records, with the biopsy and selected post-biopsy laboratory data removed. The 3 hepatologists also reviewed the liver histology with a hepatopathologist and then repeated causality assessment for each case. Results: Of the 50 cases, there were 42 high causality DILI cases (1, 2 or 3) and 8 low causality cases (4 and 5). The hepatologists judged that liver biopsy was indicated in 62% of patients; after histology review, biopsy was judged to have been helpful in 70% of patients. Histology review changed the causality score in 68% of patients, with an increase in DILI likelihood in 48% and a decrease in 20%. Biopsy results changed diagnostic certainty from less certain (3 or 4) to highly certain (1, 2 or 5) in 38% of patients. Conclusions: Liver histologic findings may help clarify the diagnosis of DILI. Histology appears to be particularly helpful in cholestatic or equivocal cases of DILI (possible or probable), shifting assessment toward a greater or lower certainty of a DILI diagnosis. Lay summary: The utility of liver biopsy in diagnosing or staging idiosyncratic drug-induced liver injury (DILI) is unclear. Herein, we show that, in patients with suspected DILI, a liver biopsy can help physicians diagnose DILI or other causes of liver injury with more certainty.