Evidence map›Paper›PMID 38865015›Full record

Observational studyLangenbeck's archives of surgery2024

A 29-mRNA host-response classifier identifies bacterial infections following liver transplantation - a pilot study.

Amelie Halder, Oliver Liesenfeld, Natalie Whitfield, Florian Uhle, Judith Schenz, Arianeb Mehrabi, Felix C F Schmitt, Markus A Weigand, Sebastian O Decker

Abstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Langenbeck's archives of surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Amelie HalderHeidelberg University, Medical Faculty Heidelberg, Department of Anesthesiology, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Oliver LiesenfeldInflammatix, Sunnyvale, CA, USA.
Natalie WhitfieldInflammatix, Sunnyvale, CA, USA.
Florian UhleHeidelberg University, Medical Faculty Heidelberg, Department of Anesthesiology, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Judith SchenzHeidelberg University, Medical Faculty Heidelberg, Department of Anesthesiology, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Arianeb MehrabiHeidelberg University, Medical Faculty Heidelberg, Department of General, Visceral & Transplantation Surgery, Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Felix C F SchmittHeidelberg University, Medical Faculty Heidelberg, Department of Anesthesiology, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Markus A WeigandHeidelberg University, Medical Faculty Heidelberg, Department of Anesthesiology, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany.
Sebastian O DeckerHeidelberg University, Medical Faculty Heidelberg, Department of Anesthesiology, Im Neuenheimer Feld 420, 69120, Heidelberg, Germany. sebastian.decker@med.uni-heidelberg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeInfections are common complications in patients following liver transplantation (LTX). The early diagnosis and prognosis of these infections is an unmet medical need even when using routine biomarkers such as C-reactive protein (CRP) and procalcitonin (PCT). Therefore, new approaches are necessary.

methodsIn a prospective, observational pilot study, we monitored 30 consecutive patients daily between days 0 and 13 following LTX using the 29-mRNA host classifier IMX-BVN-3b that determine the likelihood of bacterial infections and viral infections. True infection status was determined using clinical adjudication. Results were compared to the accuracy of CRP and PCT for patients with and without bacterial infection due to clinical adjudication.

resultsClinical adjudication confirmed bacterial infections in 10 and fungal infections in 2 patients. 20 patients stayed non-infected until day 13 post-LTX. IMX-BVN-3b bacterial scores were increased directly following LTX and decreased until day four in all patients. Bacterial IMX-BVN-3b scores detected bacterial infections in 9 out of 10 patients. PCT concentrations did not differ between patients with or without bacterial, whereas CRP was elevated in all patients with significantly higher levels in patients with bacterial infections.

conclusionThe 29-mRNA host classifier IMX-BVN-3b identified bacterial infections in post-LTX patients and did so earlier than routine biomarkers. While our pilot study holds promise future studies will determine whether these classifiers may help to identify post-LTX infections earlier and improve patient management. CLINICAL TRIAL NOTATION: German Clinical Trials Register: DRKS00023236, Registered 07 October 2020, https://drks.de/search/en/trial/DRKS00023236.

Indexed as

Bacterial InfectionsBiomarkersLiver TransplantationAdultAgedC-Reactive ProteinFemaleHumansMaleMiddle AgedPilot ProjectsPostoperative ComplicationsProcalcitoninProspective StudiesRNA, MessengerBiomarkersC-Reactive ProteinProcalcitoninRNA, Messenger29-mRNA host responseBacterial infectionImmunosuppressionLiver transplantation

Identifiers

PMID38865015
PMCPMC11169022

What Socratic holds

Textmetadata
LicenceCC BY
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.