MétaCan
Menu
Retour à la cohorte
Enregistrement W7045520791

Assessment and outcomes in mild traumatic brain injury in the Emergency Department

2018· dissertation· en· W7045520791 sur OpenAlexaboutno aff

Notice bibliographique

RevueQueen Mary Research Online (Queen Mary University of London) · 2018
Typedissertation
Langueen
DomaineHealth Professions
ThématiqueHealthcare Systems and Challenges
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEmergency departmentTraumatic brain injuryObservational studyProspective cohort studyNeurocognitiveHead injuryDepression (economics)Cohort study
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Traumatic brain injury (TBI) is common, affecting up to 600/100,000 people. Mild TBI accounts for up to 90% of all TBI. The Emergency Department attendance rate for head injuries is as high as 1800/100,000 population, and 15-20% of those attendances result in hospital admission. Mild TBI causes symptoms such as headaches, dizziness, disordered balance, cognitive dysfunction and depression which in turn impact on quality of life. Accurate risk assessment and prognostication of patients with acute neurological conditions in the Emergency Department is essential. This PhD consists of a systematic review that examines the hard outcome of ‘return to work’ following a mild TBI; a prospective observational cohort study that reports the difference in neurocognitive function and symptoms that patients experience at baseline and three days after mild TBI; and a prospective observational cohort study that reports the number of patients that attend the Emergency Department with seizure secondary to TBI, and the value of two biomarkers in predicting the recurrence of seizures in patients that attend the Emergency Department having had a seizure.
\nThis thesis comprises three studies in which I investigated the short and long-term effects of mild traumatic brain injury (TBI) and prognostication in seizure. In study one, I undertook a systematic review and meta-analysis to determine return to work times for adults with mild TBI. The primary objective was to determine the time taken to return to work following a mild TBI. Articles were included if they reported on adults with mild TBI and recorded the outcome return to work. Six electronic databases and eight clinical trial registries were searched. A narrative synthesis and a random-effects meta-analysis was performed. Bias was assessed using a modified version of the Newcastle Ottawa quality assessment tool.
\nThe second study was a prospective observational cohort study of adults with mild TBI and a comparison group of Emergency Department patients without brain injury. The primary outcomes were neurocognitive function and concussion symptom severity at baseline and 72 hours. Adult patients with mild TBI within the last 24 hours were included in the mild TBI group, and adults that attended the Emergency Department with trauma beneath the clavicle, or with a non-neurological medical condition, were included in the comparison group. Outcomes were measured on the Standardized Assessment of Concussion (SCA) and the Concussion Symptom Inventory (CSI) at baseline in the Emergency Department and at follow up at 72 hours. Comparisons were made between baseline and follow up, and between groups at single time points.
\nThe third study was a prospective observational cohort study designed to assess the prognostic value of the biomarkers S100B and copeptin in patients with seizure. Adult patients attending the Emergency Department with seizure of any cause were included. The primary outcome was a composite of seizure recurrence, death, hospitalisation, rehospitalisation or re-attendance at the Emergency Department at seven days. S100B and copeptin were measured in the Emergency Department. Statistical comparison of the two groups was performed, optimum thresholds of the biomarkers for diagnosing the endpoint were derived, diagnostic test characteristics were calculated, and logistic regression modelling was performed to identify variables most closely associated with the outcome. The aetiology of the seizure was identified and the proportion that had a seizure secondary to TBI was recorded.
\nIn the systematic review and meta-analysis, 14 studies were included. Three reported the average time taken to return to work, and 12 reported the proportion of patients that have returned to work by a pre-specified time point. The pooled proportion of people returned to work at one, three, six and 12 months was 56%, 75%, 83%, and 89% respectively.
\nIn the study of short-term effects of mild TBI, 240 patients were included, of which 189 had mild TBI and 51 comprised the non-brain injured comparison group. Patients with mild TBI had marked neurocognitive impairment (SAC at baseline 25 [23-27], difference in SAC score between brain injured and non-brain injured 1, p=0.02, [95% confidence interval [CI] -1.4 to -2.4]), worse symptom severity (CSI at baseline 9 [4-21], difference in CSI between brain injured and non-brain injured 9, p<0.001 [95% CI 8.4 to 13.7]), and high numbers of symptoms (number of symptoms at baseline 4 [2-8], difference between brain injured and non-brain injured 4, p<0.001 [95% CI 2.6 to 4.4]), all of which persisted at 72 hours.
\nIn the study of patients with seizures, 97 patients were recruited, of which 52% met the composite primary endpoint. No patients attended with a seizure as a consequence of TBI. S100B and copeptin were significantly higher in patients with compared to without the composite primary endpoint: 0.22 μg/L (95% CI 0.14 to 0.31) vs 0.11 μg/L (95% CI 0.08 to 0.14) (difference 0.02 μg/L, p = 0.01, 95% CI 0.02 to 0.2) for S100B; and 77.0 pmol/L (95% CI 44.3 to 109.7) vs 27.0 (95% CI 18.2 to 35.9) (difference 50 pmol/L, p = 0.004, 95% CI 16.2 to 83.8) for copeptin. Thresholds of 0.088 μg/L and 6.26 pmol/L were identified for S100B and copeptin respectively. At those thresholds, S100B sensitivity and specificity was 58% (95% CI 43-72) and 60% (95% CI 44-74); and copeptin sensitivity and specificity was 80% (95% CI 66-90) and 21% (95% CI 11-36). Epilepsy, complex partial seizure, provoked/acute symptomatic seizure, and pyrexia were identified as factors independently associated with the primary outcome but there was no additional value when the biomarkers were included in the model.
\nIn this body of work, I have shown that patients with mild traumatic brain injury have impaired neurocognitive function and a significant symptom burden that persists for several days, and in some patients is likely to persist for many months. Although most patients return to normal activities, including working, by three months after a mild traumatic brain injury, up to a tenth of patients are still unable to return to work at one year after the injury. Around half of patients that attend an Emergency Department with a seizure go on to be admitted or have another seizure by one week, but the biomarkers
\nS100B and copeptin add no extra value to current prediction tools in identifying who will have a recurrent seizure, and few patients have a seizure secondary to TBI.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,112
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,146
Tête enseignante GPT0,503
Écart entre enseignants0,357 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueQueen Mary Research Online (Queen Mary University of London)Même sujetHealthcare Systems and ChallengesTravaux en français237 207