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Record W2067659806 · doi:10.1080/10903120701707880

Use of Prehospital-Induced Hypothermia After Out-of-Hospital Cardiac Arrest: A Survey of the National Association of Emergency Medical Services Physicians

2008· article· en· W2067659806 on OpenAlexaboutno aff
Brian Suffoletto, David D. Salcido, James J. Menegazzi

Bibliographic record

VenuePrehospital Emergency Care · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineEmergency medical servicesHypothermiaMedical emergencyEmergency medicineFamily medicineAnesthesia

Abstract

fetched live from OpenAlex

OBJECTIVE: Postresuscitation care of comatose survivors of cardiac arrest using induced hypothermia (IH) is recommended by the American Heart Association (AHA) and the International Liaison Committee on Resuscitation (ILCOR) to improve neurological outcomes but has been performed primarily later in the course of care. Recently, it was shown that prehospital cooling is feasible, safe, and effective in lowering patient temperature. We sought to determine the prevalence of EMS agencies that use prehospital IH. We also sought to determine what perceived barriers to initiating IH might exist and the understanding EMS physicians have of guidelines for IH. METHODS: We collected a convenience sample of completed questionnaires from physician members of the National Association of EMS Physicians at the national conference on 3 days from January 11 to 13, 2007. RESULTS: One hundred forty-five (59%) physician members who had attended the conference completed the survey, representing 109 EMS Medical Directors and 36 non-Medical Director EMS Physicians from 92 regions of 34 U.S. states, three Canadian provinces, and one European country. A total of 9 of 145 (6.2%) of physicians stated that the EMS agency they are affiliated with uses a protocols for IH, 6 of whom were local EMS Medical Directors. The median (IQR) duration of having a protocol was 12 months (6-12), and all used either ice bags or cold IV fluid or a combination of the two. Among those who reported prehospital use of IH, only one of eight (12.5%) recall having cooled greater than 10% of eligible patients in the field. Common perceived barriers to IH include the following: overburden with other tasks (62.1%), short transport times (60.7%), lack of refrigeration equipment (60.0%), and receiving hospitals' failure to continue therapeutic hypothermia (56.6%). A small but significant percentage (22.1%) believed that the lack of guidelines specifically addressing prehospital cooling was a barrier to initiating a protocol, and only 62% correctly identified 32-34 degrees C as the recommended target temperature range. CONCLUSIONS: The practice of prehospital IH is rare. Infrequent use of prehospital cooling seen in our select population may be due to the perceived barriers that were identified and/or inadequate guidance from the scientific literature. Statements from the AHA and ILCOR first published in 2003 and reiterated in 2005 recommend the implementation but do not specify the most beneficial time to initiate postresuscitation cooling of comatose survivors of cardiac arrest. Further studies should examine the relative benefit of prehospital cooling.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.024
GPT teacher head0.280
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations44
Published2008
Admission routes1
Has abstractyes

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