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Forget IV vs. IO in Cardiac Arrest

2023· article· en· W4385410919 on OpenAlexaboutno aff
Blake Briggs

Bibliographic record

VenueEmergency Medicine News · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
Fundersnot available
KeywordsReturn of spontaneous circulationMedicineDefibrillationCardiopulmonary resuscitationEpinephrineResuscitationSudden cardiac arrestHospital dischargeAdvanced cardiac life supportEmergency medicineInternal medicine

Abstract

fetched live from OpenAlex

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].

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score0.639

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.330
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Published2023
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