Cited by 6Drug-Induced Hepatotoxicity and ProtectionLiver Disease Diagnosis and TreatmentLiver Diseases and Immunity

Risk factors related to significant hepatic inflammation in patients with acute drug-induced liver injury

Open access
Xiong, Yu-Ting, Wang, Jian-Fei, Li, Le, Bai, Zhi-Fang, Liu, Yan, Huang, Ang, Wang, Ke-Xin, Fu, Yiming +6 more·2024·iLIVER

Abstract

Currently, research on biopsy-proven acute drug-induced liver injury (DILI) remains limited. This study aimed to identify clinical characteristics and risk factors for significant hepatic inflammation in patients with acute DILI. An ambispective cohort study was conducted on biopsy-proven acute DILI patients admitted to our hospital from 2012 to 2018. Using the Scheuer scoring system, patients were categorized into G0-2 or G3-4 groups and followed up for 12 months after first admission. Clinical characteristics and outcomes were retrieved from medical records. The median age of the 157 enrolled patients (65.6% female) was 40.4 (interquartile range (IQR), 31.9–49.1) years. The median latency and length of hospitalization were 30.0 (IQR, 5.0–60.0) and 18.0 (IQR, 12.0–26.0) days. The proportions of patients in the G0-2 and G3-4 groups were 54.8% and 45.2%, respectively. Logistic regression analysis revealed that females (odds ratio (OR): 2.623, 95% confidence interval (CI): 1.169–5.887, p = 0.019), higher body mass index (OR: 1.168, 95% CI: 1.029–1.325, p = 0.016), higher total bilirubin (OR: 1.004, 95% CI: 1.000–1.007, p = 0.047), and lower prothrombin activity (OR: 0.976, 95% CI: 0,957–0.995, p = 0.013) were associated with significant hepatic inflammation. The predominance of the hepatocellular injury pattern (60.5%) at admission transformed into a predominance of the cholestatic pattern (60.5%) at discharge. During follow-up, 23 patients (14.6%) developed chronic DILI, with nine patients (5.7%) progressing to cirrhosis. Moreover, 15 female patients (9.6%) developed autoimmunity (3cases in the G0-2 group vs 12 cases in the G3-4 group, p < 0.05). Acute DILI patients with high-risk factors were more likely to develop significant hepatic inflammation, and females with significant inflammation were at a higher risk of developing autoimmunity during follow-up.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.iliver.2024.100095

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • With our perfusion system, we achieved extended drug perfusion at varying concentrations, faithfully replicating clinical drug administration frequency and dosages.

    “By contrast, with our perfusion system, we achieved extended drug perfusion at varying concentrations, faithfully replicating clinical drug administration frequency and dosages [53].”

    From Decellularized liver scaffolds for constructing drug-metabolically functional ex vivo human liver models (2025) · cites this paper as [53]

    The Study design section describes a hospital-based cohort, and the Results report the duration of patients’ suspected drug use. Our copy does not address a perfusion system, varying perfusion concentrations, or clinical administration frequencies and dosages that such a system replicated (searched: perfusion system, dosing frequency, dosage). (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Xiong, Y.-T., Wang, J.-F., Li, L., Bai, Z.-F., Liu, Y., Huang, A., Wang, K.-X., Fu, Y., Yang, W., Guo, C., He, M., Wang, W.-C., Wang, C.-Y., & Ji, D.
Affiliations
  • Chinese PLA General Hospital (CN)
  • Peking University (CN)
  • Anhui Medical University (CN)
Corresponding author
Ji, Dong
Venue
iLIVER
Publisher
Elsevier BV
Published
2024-06
Volume
3
Issue
2
Pages
100095
ISSN
2772-9478 (ISSN-L)
OpenAlex
W4396660980
Cited by
6
References
41
Citations by year
2026: 3 · 2024: 3
FWCI
2.52
Type
journal article
Language
en
Open access
Locations
  • iLiver (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Chinese PLA General Hospital
  • Beijing Natural Science Foundation
  • Capital Health Research and Development of Special Fund
  • Beijing Municipal Science and Technology Commission
Topics
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Drug-Induced Hepatotoxicity and Protection
  • Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
  • Health Sciences › Medicine › Hepatology › Liver Diseases and Immunity
Keywords
liver inflammation, risk factors, liver biopsy, hepatocyte injury, cholestatic liver injury, liver cirrhosis, autoimmune liver disease, prothrombin activity, total bilirubin, body mass index, sex differences, disease progression, prognosis, liver regeneration

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review