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Record W4403851893 · doi:10.1186/s12873-024-01124-5

Head injuries in prehospital and Emergency Department settings: a prospective multicenter cross-sectional study in France

2024· article· en· W4403851893 on OpenAlexaff
Xavier Dubucs, Thomas Lafon, Flore Tabaka, Florian Negrello, Mustapha Sebbane, Valérie Boucher, Éric Mercier, Marcel Émond, Sandrine Charpentier, Frédéric Balen, Hugo Lenglet, Hugo Schmit, Paul Claveries, Xavier Pereira, Yann-Érick Claessens, Jean-Philippe Desclefs, Delphine Delta, Aline Lombart, François-Xavier Laborne, Alicia Gouetta, Charlène Mourier, J. Duchenne, Ayoub Touihar, Bertrand Boulanger, C. Broche, Tran Duc-Minh, Maryam Kallel Sellami, Rym Hamed, Ben Hallouda Kassara, Émilie Gelin, J Fabre, Julie Rosenblatt, Aude-Marie Gangneron, Chloé Chomarat, Ombeline Susong, Lisa Ohayon, Rachid Gaouiaoui, Anastasia Dessena, Bastien Menard, Adrien Picaud, Gustave Bangala, Juliane Bosc, Romain Blondet, Didier Darraillans, Sylvie Grgek, Davy Murgue, Fabien Thomas, Violetta Jauriac, Anne Chareyron, Alice Boulanger, Gwendoline Gonfrere, Sylvain Thiriez, Alice Hurgon, Maud Flambard, Anna Senon-Laloge, Tristan Bauduin, Laurence Berton, C. Cazenave, Ernesto Maiello, Thomas Bizouard, Yassine Hicheri, Matthieu Daniel, Caleb Faivre, Bénédicte Clement, Gaëtan Giacomin, Fabien Coisy, Jérémy Guénézan, Pauline Sugranes, Mélanie Roussel, Pierrick Le Borgne, Sai͏̈d Laribi, Mathieu Abou-Badra, Aymeric Bodineau, Méryl Nguyen Van Tinh, Hadrien Laporte, Yahia Yahoui, Laurent Jacquin, Richard Chocron, Gaëlle Le Bail, J. Sende, Thomas J. Olivier, Delphine Levy, Camille Gerlier, Sarah Addou, Maxime Gautier, Eric Burggraff, Marta Cancella de Abreu, Pierre Aubertein

Bibliographic record

VenueBMC Emergency Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsCentre hospitalier universitaire de QuébecUniversité LavalCentre hospitalier de l'Université Laval
FundersShandong First Medical UniversitySociété Française de Médecine d'UrgenceUniversité de Toulouse
KeywordsMedicineCross-sectional studyMulticenter studyEmergency departmentMedical emergencyEmergency medicinePoison controlEmergency medical servicesInjury preventionProspective cohort studyOccupational safety and healthMEDLINESurgeryNursingRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: Head injuries are the leading cause of trauma in Emergency Departments (EDs). Recent studies have shown epidemiological changes in patients consulting ED for head injuries. The main objective of this study was to describe the profile of head injury patients consulting in the EDs in France and assess i) head injury severity across age groups; ii) the delay between the occurrence of head injury and ED arrival; iii) factors associated with traumatic intracranial hemorrhage (ICH). METHODS: This cross-sectional study collected patient data over a three-day period in March 2023. All adult patients (≥ 18 years old) admitted to the ED with a head injury (defined as a trauma to the head) were included. TBI severity was classified according to patients' initial Glasgow Coma Scale score in the ED: severe (3-8); moderate (9 -12); mild (13-15); and simple head trauma in the absence of transient or persistent neurological symptoms. RESULTS: Among the 71 participating EDs, 26,008 patients visited EDs and a total of 1070 patients (4.1%, IC 95 3.9-4.4) presented a head injury were included in the study, with a median age of 68.5 [37-85] years old. Most of the patients (66.7%) were referred to ED after a call to the Emergency Medical Dispatcher (EMD). The median time from head injury to ED visit was 2 h [1.0 - 5.5]. Ground-level falls were the leading cause of head injury (60.3%). Most of patient presented a simple head trauma (n = 715, 66.8%) followed by mild TBI (n = 337, 31.5%). CT head scans were performed for 636 patients (59.6%), of which 58 were positive. Traumatic ICH prevalence was 5.4% (95% CI: 4.1-6.9) and three patients (0.3%) required an urgent neurosurgical intervention. Neither preinjury anticoagulant (p = 0.97) nor antiplatelet (p = 0.93) use was associated with an increased risk of traumatic ICH. CONCLUSIONS: One head injury patient out of two presenting in the ED is aged over 65 years. Patients referred by EMD were more likely to visit ED promptly. The majority of older patients underwent a head CT scan and preinjury anticoagulant use was not associated with increased risk of traumatic ICH.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.380
Teacher spread0.351 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2024
Admission routes1
Has abstractyes

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