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Enregistrement W2330483778 · doi:10.1097/01.eem.0000343547.32448.09

Location, Location, Location: MI Survival Varies by Region

2009· article· en· W2330483778 sur OpenAlexaboutno aff
Ruth SoRelle

Notice bibliographique

RevueEmergency Medicine News · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiac Arrest and Resuscitation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVentricular fibrillationPopulationEmergency medical servicesAutomated external defibrillatorMedical emergencyMedicineCardiopulmonary resuscitationVentricular tachycardiaEmergency medicineResuscitationFamily medicineInternal medicine

Résumé

récupéré en direct d'OpenAlex

Survival after cardiac arrest varies fivefold across the country, with patients in Alabama facing lower odds than those in Seattle, for instance, but researchers said EMS protocols can vastly improve those rates. Data revealed the variance in surviving to discharge in eight U.S. and two Canadian emergency medical services, a finding so large it surprised researchers. “The take-home message is that every community needs to monitor and improve its response to cardiac arrest,” said Graham Nichol, MD, MPH, a professor of medicine, the Medic One Foundation Endowed Chair, and the director of the University of Washington-Harborview Center for Prehospital Emergency Care.Figure“Most communities are not monitoring cardiac arrest, and cannot tell their citizens how often these firefighters and medics are able to resuscitate people. We need to make it a reportable disease so everyone can know how his city did. If you don't measure it, you can't improve it,” said Dr. Nichol, the first author of the Journal of the American Medical Association study. (2008; 300[12]:1423.) The trial took place at 10 sites: Alabama, Dallas, Iowa, Milwaukee, Ottawa, Pittsburgh, Portland, Seattle, Toronto, and Vancouver. Emergency medical services personnel attempted resuscitation in 11,898 of 20,520 cases. Some 2,729 patients with ventricular fibrillation, ventricular tachycardia, or rhythms were shocked by an automated external defibrillator. Overall, 954 were discharged alive. Rates varied greatly by population, however. EMS-treated cardiac arrest per 100,000 population ranged from 40.3 to 86.7. For ventricular fibrillation, the EMS treatment rate ranged from 9.3 to 19 per 100,000 population. EMS-treated cardiac arrest survival ranged from three percent in Alabama to 16.3 percent in Seattle. For ventricular fibrillation, survival ranged from 7.7 percent to 39.9 percent. “It's a huge variation,” said Dr. Nichol. “We've reported a variation of 500 percent in survival. What was unexpected was the magnitude of the differences from city to city.” The best results demonstrate that cardiac arrest is a treatable condition, but it's also clear that the message is not getting through everywhere. “As is often the case, it's partly resources and also a lack of awareness that people can survive cardiac arrest,” Dr. Nichol said. “We need to tell people that, but it requires many people take part. It requires bystander CPR, emergency medical services providing high-quality prehospital care, hospitals providing cooling to patients, and following protocols when they get to the hospital.” In an accompanying editorial, Arthur B. Sanders, MD, a professor of emergency medicine at the University of Arizona at Tucson, and Karl B. Kern, MD, a professor of medicine at the University of Arizona at Tucson, pointed out that the magnitude of the cardiac arrest problem means that even small improvements in survival statistics could be important. “Out-of-hospital cardiac arrest is primarily a systems problem in local communities,” they wrote. “It is important that clinicians advocate in their communities to establish an optimal response and treatment system for patients to have a reasonable chance of resuscitation.” (JAMA 2008; 300[12]:1462.) “There are huge variations in the quality of emergency medical services,” said Dr. Sanders. It is important to recommend that emergency medical services organizations record key outcome measures, he said, but many cities don't do that. “One remarkable statistic in this study is that 42 percent of those with cardiac arrest did not have resuscitation attempted,” he said. “I think that's a remarkable number. That means that in about four of 10 out-of-hospital cardiac arrests, resuscitation is not attempted by emergency medical services.” In some cases, Dr. Sanders said, this may occur because of advanced directives. “Emergency medical technicians and paramedics are smart,” said Dr. Nichol. “They can say that this person is clearly dead, or family members may say, ‘He did not want to be resuscitated.’” Dr. Sanders pointed to a small study by Michael Kellum, MD, in rural Wisconsin that called for an EMS protocol consisting of uninterrupted chest compressions followed by passive oxygen administration with no active ventilation, rhythm analysis with a single shock, 200 immediate post-shock chest compressions, and delayed endotracheal intubation. In the three years before the protocol, 15 percent of patients with shockable rhythms survived. After the protocol was put into effect, the percentage increased to 39 percent. (Ann Emerg Med 2008;52[3]:244.) He said another major advance is therapeutic hypothermia, which improves neurological outcome. Meanwhile, Dr. Nichol is working with the American Heart Association to make cardiac arrest and other acute cardiovascular events reportable so that each city can monitor its response and improve it.

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,896
Score d'incertitude au seuil0,892

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,025
Tête enseignante GPT0,309
Écart entre enseignants0,284 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
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
Publié2009
Routes d'admission1
Résumé présentoui

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