Notice bibliographique
Résumé
Figure: IV, IO, cardiac arrest, CPR, OHCA, EMS, hospital discharge, epinephrine, intraosseous, intravenous, ROSC, ACLS, defibrillation, AEDFigureDecreasing delays to CPR and shortening the time to defibrillation are what really matters Death rates from out-of-hospital sudden cardiac arrest (OHCA) remain high despite more than 20 years of measuring outcomes. The statistics are disheartening. One analysis of 12,000 patients treated by EMS in Seattle over 24 years found that survival to hospital discharge was no better in 2001 than in 1981. (Circulation. 2003;107[22]:2780; https://bit.ly/3Pqt6ZM.) Another study evaluating 547,153 patients in Japan from 2005 to 2009 found improved survival to hospital discharge but still less than 10 percent survival overall. (Circulation. 2012;126[24]2834; https://bit.ly/43UViIO.) Recent studies from the United States and Canada, each with more than 20,000 patients, had about 10 percent survival to discharge. (Circulation. 2014;130[21]:1876; https://bit.ly/3CIaMng; Circulation. 2014;130[21]:1883; https://bit.ly/3NhEnZL.) Does Route Matter? A multitude of reasons accounts for this poor survivability, including a recent study that attempted to address whether epinephrine via the intraosseous route had any advantage over the intravenous route. (Am J Emerg Med. 2023;67:63; https://bit.ly/46jz9Fq.) The retrospective study conducted in Taiwan included 112 adult patients with OHCA who received on-scene resuscitation. Patients were excluded if they had return of spontaneous circulation before access was obtained or a cardiac arrest en route to the hospital. Their outcome measurements were based on a per-patient success rate of route establishment (success/attempt) and the rate of epinephrine administered per case/enrolled OHCA. The average age of patients in the study was 67, with 90 IV cases and 22 IO ones. They found that the median success rate of route establishment was much higher in the IO group (33% vs. 100%, p<0.001), along with the rate of epinephrine administered (52% vs. 100%, p<0.001). Unfortunately, this study had many limitations, including its small sample size, and the researchers did not analyze the differences in ROSC or survival. The results from this study are interesting, though, because they seem contrary to previous research that IV is more effective than IO. One previous study of 1800 OHCA adults (1525 with IV access, 275 with IO) found that the IO group had a lower likelihood of ROSC, though this was not independently associated with survival to discharge. (Resuscitation. 2017;117:91.) Another study of 35,733 patients (27,758 with IV; 7975 patients with IO) found that the IV group had more favorable adjusted odds ratios for ROSC and survival with favorable neurologic outcomes. (Resuscitation. 2020;149:209.) This begs the question: Does it even matter if the IO route results in higher rates of administered epinephrine? Given that the IV route is associated with a higher rate of ROSC, is any of the discussion about IO versus IV significant? One could also argue that the IO route is being used because the patient is so critically ill that IV access could not be obtained. This may also account for why so many patients in the IO group didn't achieve ROSC as frequently: They are sicker and have a higher likelihood of mortality, perhaps due to prolonged downtime. Unfortunately, like so many other OHCA studies, we are left with conjecture and more questions. CPR and AEDs Paramount But the devil is in the details when it comes to these studies. Measuring small variables in OHCA and seeing if they affect downstream care is fraught with difficulty. There are so many confounding variables when measuring survival rates in OHCA, and most of them are out of our control in the ED. Marked regional differences exist within the United States, and prognosis may drastically change depending where in the country one resides. (JAMA. 2008;300[12]:1423; https://bit.ly/44cImxC.) Other related factors, such as time to bystander CPR, transport time to medical centers, and even a patient's race play a role. (Resuscitation. 2017;115:185; N Engl J Med. 2022;387[17]:1569; https://bit.ly/42MBYfi.) We must concentrate on the only two variables that have the greatest impact on survival rates with good functional neurologic outcomes: decreasing delays to CPR and shortening the time to defibrillation. (Circulation. 2003;107[22]:2780; https://bit.ly/3Pqt6ZM.) Everything else is dubious at best, including the IV versus IO route, ACLS medications, and even intubation, with the latter two being potentially harmful. They have minimal effect on increasing meaningful survival and distract from what truly matters. Public education on the importance of bystander CPR and AEDs remains paramount, for which multiple studies have found favorable improvement in functional survival. (Circulation. 2019 Apr 1. https://bit.ly/3pfSDdA; JAMA. 2015;314[3]:247; https://bit.ly/3NGWSYU; JAMA. 2015;314[3]:255; https://bit.ly/3PsBesH.) DR. BRIGGS is an assistant professor of emergency medicine at the University of Tennessee Medical Center in Knoxville. He is the founder, a podcast host, and the editor-in-chief of EM Board Bombs (https://www.emboardbombs.com), a multiplatform educational tool designed to provide board prep and focus on what EPs need to know for the practice of emergency medicine. Listen to his podcast with Iltifat Husain, MD, at https://bit.ly/EMBoardBombsatEMN, and follow him on Twitter @blakebriggsmd. Share this article on Twitter and Facebook. Access the links in EMN by reading this on our website: www.EM-News.com. Comments? Write to us at [email protected].
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 tête enseignante, 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 ».