Evidence map›Paper›PMID 35050151›Full record

ArticleMetabolites2021

Integration of Metabolomic and Clinical Data Improves the Prediction of Intensive Care Unit Length of Stay Following Major Traumatic Injury.

Animesh Acharjee, Jon Hazeldine, Alina Bazarova, Lavanya Deenadayalu, Jinkang Zhang, Conor Bentley, Dominic Russ, Janet M Lord, Georgios V Gkoutos, Stephen P Young and 1 more

Abstract read
In one paragraph

Article in Metabolites, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  4. Review
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  11. A review of the role of testosterone in the care of the critically ill patient.The Southern African journal of critical care : the official journal of the Critical Care Society · 2024
    Review
  12. 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

11 authors.

Animesh AcharjeeMicrobiology Research Centre, National Institute for Health Research Surgical Reconstruction, Queen Elizabeth Hospital Birmingham, Birmingham B15 2GW, UK.ORCID 0000-0003-2735-7010
Jon HazeldineMicrobiology Research Centre, National Institute for Health Research Surgical Reconstruction, Queen Elizabeth Hospital Birmingham, Birmingham B15 2GW, UK.
Alina BazarovaInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.ORCID 0000-0001-8874-1783
Lavanya DeenadayaluInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.
Jinkang ZhangInstitute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2TT, UK.
Conor BentleyMicrobiology Research Centre, National Institute for Health Research Surgical Reconstruction, Queen Elizabeth Hospital Birmingham, Birmingham B15 2GW, UK.
Dominic RussInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2TT, UK.
Janet M LordMicrobiology Research Centre, National Institute for Health Research Surgical Reconstruction, Queen Elizabeth Hospital Birmingham, Birmingham B15 2GW, UK.
Georgios V GkoutosMicrobiology Research Centre, National Institute for Health Research Surgical Reconstruction, Queen Elizabeth Hospital Birmingham, Birmingham B15 2GW, UK.ORCID 0000-0002-2061-091X
Stephen P YoungInstitute of Inflammation and Ageing, University of Birmingham, Birmingham B15 2TT, UK.
Mark A FosterMicrobiology Research Centre, National Institute for Health Research Surgical Reconstruction, Queen Elizabeth Hospital Birmingham, Birmingham B15 2GW, UK.

Funding

Medical Research Council LAXD GBX1182 / P384 10006 62025 (RCUK)
6 · The paper itself

Abstract

Recent advances in emergency medicine and the co-ordinated delivery of trauma care mean more critically-injured patients now reach the hospital alive and survive life-saving operations. Indeed, between 2008 and 2017, the odds of surviving a major traumatic injury in the UK increased by nineteen percent. However, the improved survival rates of severely-injured patients have placed an increased burden on the healthcare system, with major trauma a common cause of intensive care unit (ICU) admissions that last ≥10 days. Improved understanding of the factors influencing patient outcomes is now urgently needed. We investigated the serum metabolomic profile of fifty-five major trauma patients across three post-injury phases: acute (days 0-4), intermediate (days 5-14) and late (days 15-112). Using ICU length of stay (LOS) as a clinical outcome, we aimed to determine whether the serum metabolome measured at days 0-4 post-injury for patients with an extended (≥10 days) ICU LOS differed from that of patients with a short (<10 days) ICU LOS. In addition, we investigated whether combining metabolomic profiles with clinical scoring systems would generate a variable that would identify patients with an extended ICU LOS with a greater degree of accuracy than models built on either variable alone. The number of metabolites unique to and shared across each time segment varied across acute, intermediate and late segments. A one-way ANOVA revealed the most variation in metabolite levels across the different time-points was for the metabolites lactate, glucose, anserine and 3-hydroxybutyrate. A total of eleven features were selected to differentiate between <10 days ICU LOS vs. >10 days ICU LOS. New Injury Severity Score (NISS), testosterone, and the metabolites cadaverine, urea, isoleucine, acetoacetate, dimethyl sulfone, syringate, creatinine, xylitol, and acetone form the integrated biomarker set. Using metabolic enrichment analysis, we found valine, leucine and isoleucine biosynthesis, glutathione metabolism, and glycine, serine and threonine metabolism were the top three pathways differentiating ICU LOS with a

Indexed as

ICU length of stayinflammationmetabolomicsomics integration

Identifiers

PMID35050151
PMCPMC8780653

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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 OpenQuestion graph.