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Enregistrement W4237693579 · doi:10.52964/amja.0403

Editorial

2015· editorial· en· W4237693579 sur OpenAlexaboutno aff
Chris Roseveare

Notice bibliographique

RevueAcute Medicine Journal · 2015
Typeeditorial
Langueen
DomaineMedicine
ThématiqueEmergency and Acute Care Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEarly warning scoreMedicineRespiratory rateWarning systemEmergency medicineMedical emergencyBlood pressureHeart rateInternal medicineEngineering

Résumé

récupéré en direct d'OpenAlex

The use of early warning scores to monitor the condition of patients has been one of the biggest changes in hospital practice over the past decade. This journal has featured many papers evaluating different scoring systems for medical patients admitted to hospital in an emergency; as the mechanisms for measuring, recording and calculating these scores become more refined our ability to predict which patients will deteriorate and require higher dependency care has continued to improve. In this edition, a paper from Canada has highlighted the key importance of one component of most scoring systems. Using a weighted scoring system, the authors have identified respiratory rate as the most valuable independent predictor of patient outcome. For a large cohort of patients in Thunder Bay hospital, Ontario, respiratory rate provided a true ‘early warning’ sign of imminent deterioration – rising several days before a patient’s death, and falling for patients who survived. The authors comment that respiratory rate is often inaccurately recorded – perhaps a result of the lack of an electronic measurement device or time pressures on nursing staff combined with the need to count breaths over a one minute period. This may explain why a fall in blood pressure or rise in pulse is often perceived to be more important when reviewing the observation chart at the foot of a patient’s bed. However this paper provides strong evidence to demonstrate why variations in this this clinical sign should not be overlooked. Bed pressures in UK hospitals have regularly featured in news reports over recent months. The challenge of facilitating discharge for those patients who require increased social service support after they leave hospital has had a significant impact on our emergency departments and acute medical units. However, providing a safe and effective system of triage at the hospital ‘front door’ is also key element in improving patient flow on the AMU. Acute medicine consultants are increasingly becoming involved in identifying patients whose problem can be managed without hospital admission; the evaluation of consultant-led phone triage of medical referrals to Ipswich hospital over a 12 month period indicates that this is a cost-effective solution to reduce hospital admission. The benefit was greatest for referrals from general practitioners, for whom the authors comment that sharing of the burden of risk and uncertainty is a key component of the effectiveness of the consultant-led approach. Having provided a similar service in my own hospital over the past 15 years, I would share this view; the regular phone contact also enables building of relationships between senior primary and secondary care clinicians, which is crucial if we are going to improve integration of services in the future. Finally, hospital acquired pneumonia is generally something to be avoided – but may have proved to be serendipitous for the patient in one of this edition’s case reports. During the course of his prolonged hospital stay with back pain, an MRI scan of his brachial plexus revealed incidental consolidation in his left upper zone, prompting treatment with intravenous antibiotics. Surprisingly, this treatment resulted in a reduction in his analgesic requirements; this improvement, along with the development of a lower motor neurone 7th nerve palsy led the team to investigate the possibility of Lyme neuroborreliosis, which was confirmed by serological testing. Radicular back pain and cranial neuropathies are recognised complications of Lyme disease; acute physicians reading this article should remember this when faced with this unusual combination in the future.

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)0,002
score de la tête « metaresearch » (Gemma)0,007
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,005
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 Opus0,015
Tête enseignante GPT0,339
Écart entre enseignants0,324 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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
Publié2015
Routes d'admission1
Résumé présentoui

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