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Interim Guidance for Basic and Advanced Life Support in Adults, Children, and Neonates With Suspected or Confirmed COVID-19

2020· article· en· W3037480207 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsAlberta Children's HospitalQueen's UniversityUniversity of Alberta
FundersNational Heart, Lung, and Blood Institute
KeywordsMedicineCoronavirus disease 2019 (COVID-19)InterimGerontologyHumanitiesLawArtInternal medicinePolitical science

Abstract

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xisting American Heart Association cardiopulmonary resuscitation (CPR) guidelines do not address the challenges of providing resuscitation in the setting of the coronavirus disease 2019 (COVID-19) global pandemic, wherein rescuers must continuously balance the immediate needs of the patients with their own safety.To address this gap, the American Heart Association, in collaboration with the American Academy of Pediatrics, American Association for Respiratory Care, American College of Emergency Physicians, The Society of Critical Care Anesthesiologists, and American Society of Anesthesiologists, and with the support of the American Association of Critical Care Nurses and National Association of EMS Physicians, has compiled interim guidance to help rescuers treat individuals with cardiac arrest with suspected or confirmed COVID-19.Over the past 2 decades, there has been a steady improvement in survival after cardiac arrest occurring both inside and outside the hospital. 1That success has relied on initiating proven resuscitation interventions such as high-quality chest compressions and defibrillation within seconds to minutes.The evolving and expanding outbreak of severe acute respiratory syndrome coronavirus 2 infections has created important challenges to such resuscitation efforts and requires potential modifications of established processes and practices.The challenge is to ensure that patients with or without COVID-19 who experience cardiac arrest get the best possible chance of survival without compromising the safety of rescuers, who will be needed to care for future patients.Complicating the emergency response to both out-of-hospital and in-hospital cardiac arrest is that COVID-19 is highly transmissible, particularly during resuscitation, and carries a high morbidity and mortality.3][4] Hypoxemic respiratory failure secondary to acute respiratory distress syndrome, myocardial injury, ventricular arrhythmias, and shock are common among critically ill patients and predispose them to cardiac arrest, [5][6][7][8] as do some of the proposed treatments such as hydroxychloroquine and azithromycin, which can prolong the QT. 9 With infections currently growing exponentially in the United States and internationally, the percentage of patients with cardiac arrests and COVID-19 is likely to increase.Healthcare workers are already the highest-risk profession for contracting the disease. 10This risk is compounded by worldwide shortages of personal protective equipment (PPE).Resuscitations carry added risk to healthcare workers for many reasons.First, the administration of CPR involves performing numerous aerosol-generating procedures, including chest compressions, positive-pressure ventilation, and establishment of an advanced airway.During those procedures, viral particles can remain suspended in the air with a half-life of ≈1 hour and

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.279

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.288
Teacher spread0.270 · 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