Evidence map›Paper›PMID 39578880›Full record

ArticleCritical care (London, England)2024

Evaluation of severe rhabdomyolysis on day 30 mortality in trauma patients admitted to intensive care: a propensity score analysis of the Traumabase registry.

Thibault Martinez, Anatole Harrois, Anaïs Codorniu, Nicolas Mongardon, Matthieu Pissot, Benjamin Popoff, Marc Leone, Nathalie Delhaye, Eric Vicaut, Quentin Mathais and 9 more

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

Article in Critical care (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  3. Bimodal distribution of trauma-related acute kidney injury (TrAKI): A clinical review.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026
    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

19 authors.

Thibault MartinezDepartment of Anesthesiology and Intensive Care Medicine, Percy Military Training Hospital, 2 rue du Lieutenant Raoul Batany, 92140, Clamart, France.
Anatole HarroisUMRS 999, Équipe émergente DYNAMIC - Dysfonction d'organe et Microcirculation, Université Paris-Saclay, Le Kremlin-Bicêtre, France.
Anaïs CodorniuDepartment of Anesthesiology and Critical Care, Beaujon Hospital, DMU Parabol, AP-HP Nord, Clichy, France.
Nicolas MongardonService d'anesthésie-Réanimation Et Médecine Péri-Opératoire, DMU CARE, DHU A-TVB, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, France.
Matthieu PissotDepartment of Anesthesiology and Intensive Care Medicine, Percy Military Training Hospital, 2 rue du Lieutenant Raoul Batany, 92140, Clamart, France.
Benjamin PopoffDepartment of Anesthesiology, Critical Care and Perioperative Medicine, CHU Rouen, 76000, Rouen, France.
Marc LeoneDepartment of Anesthesia and Critical Care Medicine, Hopital Nord, Marseille, France.
Nathalie DelhayeDepartment of Anesthesiology and Intensive Care Medicine, Hôpital Européen Georges Pompidou, AP-HP, Paris, France.
Eric VicautUnité de Recherche Clinique, UMR 942, Université Paris 7, Hôpitaux Saint Louis Lariboisière, Assistance Publique - Hôpitaux de Paris, Paris, France.
Quentin MathaisAnaesthesiology and Intensive Care Department, Military Teaching Hospital Sainte Anne, Toulon, France.
Vincent LegrosAnesthesiology, Critical Care and Perioperative Medicine, University Hospital of Reims - Université de Reims Champagne-Ardenne, VieFra, 51100, Reims, France.
Jean-Luc HanouzDepartment of Anesthesiology and Critical Care Medicine, Caen University Hospital, Avenue de La Cote de Nacre, Caen, France.
Nicolas GatulleSorbonne University, GRC 29, AP-HP, DMU DREAM, Department of Anaesthesiology and Critical Care, Pitié-Salpêtrière Hospital, Paris, France.
Véronique RamondaAnesthesiology, Critical Care and Perioperative Medicine, Hôpital Purpan, CHU de Toulouse, Toulouse, France.
Benjamin CohenDepartment of Anesthesiology and Critical Care Medicine, CHU Tours, Tours University Hospital, Tours, France.
Mathieu BoutonnetDepartment of Anesthesiology and Intensive Care Medicine, Percy Military Training Hospital, 2 rue du Lieutenant Raoul Batany, 92140, Clamart, France.
Julien PottecherAnesthesiology, Critical Care and Perioperative Medicine, Hôpital de Hautepierre, Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
Nicolas LibertDepartment of Anesthesiology and Intensive Care Medicine, Percy Military Training Hospital, 2 rue du Lieutenant Raoul Batany, 92140, Clamart, France. dr.libert.nicolas@gmail.com.
Traumabase Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraumatic rhabdomyolysis (RM) is common and associated with the development of acute kidney injury and potentially with other organ dysfunctions. Thus, RM may increase the risk of death. The primary objective was to assess the effect of severe RM (Creatine Kinase [CK] > 5000 U/L) on 30-day mortality in trauma patients using a causal inference approach.

methodsIn this multicenter cohort study conducted in France using a national major trauma registry (Traumabase) between January 1, 2012, and July 1, 2023, all patients admitted to a participating major trauma center hospitalized in intensive care unit (ICU) and with CK measurement were included. Confounding variables for both 30-day mortality and exposure were used to establish a propensity score. A doubly robust approach with inverse treatment weighting enabled the calculation of the average treatment effect on the treated (ATT). Analyses were performed in the overall cohort as well as in two subgroups: hemorrhagic shock subgroup (HS) and traumatic brain injury subgroup (TBI). Sensitivity analyses were conducted.

resultsAmong the 8592 patients included, 1544 (18.0%) had severe RM. They were predominantly males (78.6%) with median [IQR] age of 41 [27-58] years and severely injured (ISS 20 [13 - 29]) mainly from blunt trauma (90.8%). In the entire cohort, the ATT, expressed as a risk difference, was 0.073 [-0.054 to 0.200]. Considering the 1311 patients in the HS subgroup, the ATT was 0.039 [0.014 to 0.063]. As in the overall cohort, there was no effect on mortality in the TBI subgroup. Severe RM was associated with greater severity of trauma and more complications (whether related to renal function or not) during the ICU stay. Mortality due to multiorgan failure (39.9% vs 12.4%) or septic shock (2.6% vs 0.8%) was more frequent among patients with severe RM.

conclusionsSevere RM was not associated with 30-day mortality considering the overall cohort. However, it was associated with a 4.0% increase in 30-day mortality among patients with concurrent hemorrhagic shock. Severe RM plays a significant role in ICU morbidity.

Indexed as

Intensive Care UnitsPropensity ScoreRegistriesRhabdomyolysisAdultAgedCohort StudiesFemaleFranceHumansMaleMiddle AgedWounds and InjuriesCrush syndromeHemorrhageIntensive care unitMultiple organ failureRhabdomyolysisSevere traumaTrauma related death

Identifiers

PMID39578880
PMCPMC11585242

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Registered trials

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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.