Risk factors and mortality associated with undertriage after major trauma in a physician- led prehospital system: a retrospective multicentre cohort study
Notice bibliographique
Résumé
Abstract Background Direct transport of patients suffering major trauma to level-I trauma centres may reduce mortality. Emergency medical services therefore aim to limit undertriage so that all severely injured patients receive proper vital trauma care. Nevertheless, undertriage have been poorly examined in a physician-led prehospital system. The main objective of this study was to assess the incidence of undertriage. We also sought to determine its potential risk factors, as well as to assess its association with mortality. Methods A multicentre retrospective cohort study was performed using 2011–2017 data from a French regional trauma registry (RESUVal) that includes prehospital, and in-hospital data on trauma patients. All adults assessed by a physician-led mobile medical team with major trauma (Injury Severity Score [ISS] ≥ 16) were included. Major trauma patients transported directly to a level-I trauma centre were considered as correctly triaged. Multivariate logistic regression was used to identify factors associated with undertriage. Results 7,110 trauma patients were screened, of whom 2,591 had an ISS ≥ 16. Median age was 42 (IQR 27–59) years old, 75.0% were male and 12.4% (n = 320) were undertriaged. In-hospital mortality was 18.3% among undertriaged patients vs 16.2% among correct-triaged patients (p = 0.473). Patients aged 51–65 years had higher risk for undertriage (OR = 1.60, 95%CI [1.11;2.26], p = 0.01). Conversely, mechanism (fall from height 0.62 [0.45;0.86], p = 0.01; gunshot/stab wounds 0.45 [0.22;0.90], p = 0.02), longer on-scene time (> 60 minutes, 0.62 [0.40;0.95], p = 0.03), prehospital endotracheal intubation (0.53 [0.39;0.71], p < 0.001), and prehospital focused assessment with sonography FAST (0.15 [0.08;0.29], p < 0.001) were associated with a lower risk for undertriage. After adjusting on severity, undertriage was not significantly associated with a greater risk of mortality (1.22 [0.80;1.89], p = 0.36). Conclusions In our region-wide, physician-led prehospital EMS system, undertriage in major trauma was higher than recommended and advanced age was associated with higher risk for undertriage. Conversely, a pre-hospital FAST was associated with a lower risk for undertriage. Specific triage procedures should be discussed in older trauma patients and further studies are needed to evaluate the impact of prehospital FAST on triage performance. We noted that undertriaged patients had no higher risk for mortality suggesting no impact of secondarily transfer and/or high trauma care quality in level-II trauma centres. Undertriage definition should be tailored to fit local trauma systems organization.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».