Evidence map›Paper›PMID 39751971›Full record

ArticleClinical and experimental medicine2025

Putative biomarkers of hepatic dysfunction in critically ill sepsis patients.

Logan R Van Nynatten, Maitray A Patel, Mark Daley, Michael R Miller, Gediminas Cepinskas, Marat Slessarev, James A Russell, Douglas D Fraser

Abstract readMulticenter Study
In one paragraph

Article in Clinical and experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Sepsis and the Liver.Diseases (Basel, Switzerland) · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Logan R Van NynattenMedicine, Western University, London, ON, Canada.
Maitray A PatelEpidemiology and Biostatistics, Western University, London, ON, Canada.
Mark DaleyEpidemiology and Biostatistics, Western University, London, ON, Canada.
Michael R MillerLondon Health Sciences Centre Research Institute, London, ON, Canada.
Gediminas CepinskasLondon Health Sciences Centre Research Institute, London, ON, Canada.
Marat SlessarevMedicine, Western University, London, ON, Canada.
James A RussellUniversity of British Columbia, St. Paul's Hospital, 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada. Jim.Russell@hli.ubc.ca.
Douglas D FraserPediatrics, Western University, London, ON, Canada. douglas.fraser@lhsc.on.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a major cause of morbidity and mortality worldwide. Among the various types of end-organ damage associated with sepsis, hepatic injury is linked to significantly higher mortality rates compared to dysfunction in other organ systems. This study aimed to investigate potential biomarkers of hepatic injury in sepsis patients through a multi-center, case-control approach. We enrolled three matched cohorts: 37 sepsis patients with hepatic dysfunction (S-HD), 37 sepsis patients without hepatic dysfunction (S-CON), and 18 healthy controls (HC). We measured five proposed biomarkers of hepatic dysfunction-ARG1, MDH1, GSTα, 5-NT, and SDH-using multiplex immunoassays. These biomarkers were compared to traditional markers of hepatic dysfunction, including albumin, bilirubin, ALT, AST, and GGT, across the cohorts using both conventional statistical methods and machine learning techniques. The median age of participants was comparable across cohorts: S-HD (65.0 years, IQR 49.5-82.5), S-CON (65.0 years, IQR 48.0-81.5), and HC (62.5 years, IQR 53.0-65.0; P = 0.794). Patients with hepatic dysfunction (S-HD) exhibited higher illness severity scores compared to those without hepatic dysfunction (S-CON): MODS scores were median 7.0 (IQR 4.0-10.0) in S-HD versus median 4.0 (IQR 2.0-7.0) in S-CON (P = 0.005), and SOFA scores were median 7.0 (IQR 4.0-11.0) in S-HD versus median 3.0 (IQR 2.0-6.0) in S-CON (P < 0.001). Hemoglobin and platelet counts were lower, while creatinine levels were higher in S-HD compared to S-CON (P < 0.05). On ICU Day 1, bilirubin, ALT, AST, GGT, and INR were significantly elevated in S-HD relative to S-CON (P ≤ 0.001), and albumin levels were lower (P < 0.05). Additionally, ARG1, GSTα, 5-NT, and SDH were significantly higher in S-HD patients on ICU Day 1 compared to S-CON (P < 0.05). ARG1, MDH1, and SDH showed positive correlations with AST, ALT, and MODS (P < 0.01). From ICU Day 1 to Day 7, ARG1, GSTα, SDH, and AST levels significantly decreased in S-HD patients (P < 0.05), whereas MDH1 and 5-NT levels did not. Among the proposed biomarkers, GSTα and 5-NT did not correlate with traditional hepatic dysfunction markers but were significant in identifying S-HD patients (feature importance 0.131 and 0.097, respectively) in a random forest classification model. This comprehensive model demonstrated excellent performance in distinguishing sepsis patients with hepatic injury, with sensitivity 0.93, specificity 0.94, NPV 0.94, PPV 0.94, and AUC 0.94. The biomarkers ARG1, MDH1, GSTα, 5-NT, and SDH show promise as novel indicators of hepatic dysfunction associated with sepsis. This study provides a foundational basis for subsequent research aimed at characterizing and clinically validating these markers. Future investigations should focus on integrating these potential biomarkers into routine laboratory assessments for sepsis and related hepatic injury.

Indexed as

BiomarkersCritical IllnessLiver DiseasesSepsisAgedAged, 80 and overCase-Control StudiesFemaleHumansMaleMiddle AgedBiomarkersBiomarkersHepatic dysfunctionSepsis

Identifiers

PMID39751971
PMCPMC11698781

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.