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Record W2115681278 · doi:10.1002/hep.22798

Hepatitis C, alcohol abuse, and unintentional overdoses are risk factors for acetaminophen-related hepatotoxicity #

2009· letter· en· W2115681278 on OpenAlexaffabout
Robert P. Myers, Abdel Aziz Shaheen

Bibliographic record

VenueHepatology · 2009
Typeletter
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicDrug-Induced Hepatotoxicity and Protection
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineAcetaminophenInternal medicineOdds ratioLiver diseaseHepatitis CLiver injuryAlcohol abuseAlcoholic hepatitisHepatitis C virusRisk factorAlcoholic liver diseaseGastroenterologyCirrhosisPsychiatryImmunologyAnesthesiaVirus

Abstract

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Nguyen et al.1 recently described an increased risk of acute liver injury (ALI) due to acetaminophen overdose (AO) in patients with hepatitis C virus (HCV). ALI occurred in 16.7% and 7.1% of HCV-positive and HCV-negative patients, respectively [odds ratio (OR), 1.64; 95% confidence interval (CI), 1.18–2.26]. Alcoholic and nonalcoholic fatty liver diseases also conferred 5- to 8-fold risks. This commendable study adds to the literature supporting an association between liver disease and acetaminophen-related ALI.2-4 In an analysis of 1543 AO admissions identified with a Canadian database,4 we reported an increased risk of ALI (OR, 3.50; 95% CI, 1.57–7.77) and mortality (15.2% versus 0.5%; P < 0.0005) in patients with pre-existing liver disease. Although this study included a small number of HCV patients (n = 10), it provided insight into additional risk factors. Specifically, ALI was more common in patients with unintentional overdoses (OR, 5.18; 95% CI, 3.00–8.95) and alcohol abuse (OR, 2.21; 95% CI, 1.30–3.76).4 Because patients with liver diseases including HCV are more likely to overdose unintentionally,4 we wondered whether the increased risk reported by Nguyen et al. could be explained by differences in overdose circumstance. Therefore, we reanalyzed the Nationwide Inpatient Sample database5 with adjustment for this factor using codes for external causes of injury (ICD-9-CM E850.4, E935.4) that have been validated for defining suicidal intent due to poisoning.4, 6, 7 To reduce unmeasured confounding, we adjusted for race, hospital characteristics, and alcohol abuse8 in addition to previously reported factors.1 These characteristics differed significantly according to HCV status. We also adjusted for case mix with the Elixhauser algorithm rather than the Charlson/Deyo algorithm because it is more discriminative in patients with liver disease.8, 9 Finally, we performed a sensitivity analysis excluding patients with acute HCV (ICD-9-CM codes 070.41 and 070.51) because differentiating viral ALI versus drug-related ALI is difficult in this setting. All analyses employed SAS-callable SUDAAN (version 9.0.1, Research Triangle Institute, Research Triangle Park, NC) to account for the complexities of Nationwide Inpatient Sample data.5 Between 1998 and 2005, we identified 42,718 AO hospitalizations; 705 (1.7%) had HCV, and 36% of these infections were acute. HCV patients had a higher prevalence of unintentional ingestions (26% versus 13%), alcohol abuse (42% versus 22%), and comorbidities (≥3: 24% versus 13%) and were more frequently hospitalized in urban teaching centers (52% versus 41%; P < 0.0001). ALI and liver failure7 occurred in 8.2% and 4.5% of patients, respectively; 1.4% died. ALI (16.7% versus 8.0%; P < 0.0001), liver failure (11.4% versus 4.4%; P < 0.0001), and death (3.0% versus 1.4%; P = 0.01), but not transplantation (0.13% versus 0.08%; P = 0.68), were more common in HCV patients. The risk of ALI was higher in HCV patients with intentional (12.2% versus 6.4%) and unintentional (29.6% versus 18.4%; P < 0.005) overdoses. In multivariate analysis, HCV remained a significant predictor of ALI (OR, 1.42; 95% CI, 1.12–1.79; Fig. 1) and liver failure (OR, 1.60; 95% CI, 1.22–2.10) but not mortality. Sensitivity analyses excluding patients with acute HCV (OR for ALI, 1.52; 95% CI, 1.15–2.00) and cirrhosis revealed similar results. Unintentional AOs (OR, 2.94; 95% CI, 2.69–3.21), alcohol abuse (OR, 1.10; 95% CI, 1.00–1.20), and African American (versus whites: OR, 0.72; 95% CI, 0.62–0.0.84) and Hispanic race (OR, 0.53; 95% CI, 0.44–0.64) were also associated with hepatotoxicity. Predictors of acute liver injury in patients hospitalized for acetaminophen overdose in the Nationwide Inpatient Sample between 1998 and 2005. Solid diamonds indicate the reference categories for polychotomous variables. The x axis is on a logarithmic scale. Abbreviations: CI, confidence interval; HCV, hepatitis C virus; NAFLD, nonalcoholic fatty liver disease. In summary, our reanalysis supports Nguyen and colleagues' findings1 of an increased risk of acetaminophen-related hepatotoxicity in patients with HCV, although the magnitude of this risk was attenuated. We confirmed observations that AO-related ALI is more common in patients with unintentional overdoses and alcohol abuse.4, 10-12 These findings may have substantial public health importance because rates of unintentional AO are rising10, 13 It emphasizes the necessity of clear package labeling of acetaminophen content and perhaps reductions in the maximum daily dosage recommended in at-risk populations.2 If this is confirmed, studies exploring the mechanisms behind the racial differences that we observed may help explain heterogeneity in AO outcomes. Robert P. Myers is supported by a Clinical Investigator Award from the Alberta Heritage Foundation for Medical Research and by a New Investigator Award from the Canadian Institutes for Health Research. The authors thank Frank Myers for graphical assistance. Robert P. Myers M.D., M.Sc.*, Abdel Aziz M. Shaheen M.D., M.P.H.*, * Liver Unit, Division of Gastroenterology, Department of Medicine, University of Calgary, Calgary, Alberta, Canada.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.120
GPT teacher head0.383
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations34
Published2009
Admission routes2
Has abstractyes

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