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Record W4213121304 · doi:10.1161/circ.138.suppl_2.129

Abstract 129: Effect of Defibrillation Dose and Waveform Characteristics on Defibrillation Success in Pediatric In-Hospital Cardiac Arrest

2018· article· en· W4213121304 on OpenAlexaff
Tia T. Raymond, Jordan Duval‐Arnould, Weilun Quan, Sam Chai, Lyndsay Ryerson, Javier J. Lasa, Peter A. Meaney, Robert A. Berg, Vinay Nadkarni, Dana Niles, Annemarie Silver, Allan de Caen, Dianne L. Atkins

Bibliographic record

VenueCirculation · 2018
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsMedicineDefibrillationVentricular fibrillationCardiologyVentricular tachycardiaInternal medicineReturn of spontaneous circulationCardioversionCardiopulmonary resuscitationResuscitationAnesthesiaAtrial fibrillation

Abstract

fetched live from OpenAlex

Introduction: Amplitude spectral area (AMSA) predicts successful defibrillation (DF) and return of spontaneous circulation (ROSC) in adults but has not been studied during pediatric in-hospital cardiac arrest (IHCA). Hypothesis: We characterized DF dose and AMSA during pediatric IHCA from a pediatric resuscitation quality (pediRES-Q) collaborative and hypothesized that a threshold value of AMSA could predict successful DF. Methods: Children <18 years with witnessed IHCA, ventricular fibrillation (VF) as the initial rhythm, and those who had complete CPR quality metric data captured from the bedside defibrillator (ZOLL R-Series, Chelmsford, MA) were studied. Energy dose, initial AMSA ( i AMSA) and pre-shock AMSA ( p AMSA) [2.5-sec ECG window before defibrillation] for predicting DF success were calculated, together with receiver operator (ROC) curves. Successful DF (sDF) was defined as return of an organized rhythm 5 seconds after DF. Sustained ROSC was defined as >20 minutes without chest compressions. Events with DF due to ventricular tachycardia, inappropriate shocks (i.e. supraventricular tachycardia, conduction block), unavailable AMSA values, and VF events using <1 J/kg for DF were excluded. Results: Between 2015-2018, 34 subjects (median age 7.4 years [1.3,13.1]; median weight 19.4 kgs [8.9, 41.7]) with IHCA due to VF were enrolled. We analyzed 26 shocks in 18 children < 8 years and 25 shocks in 16 children 8 to <18 years. For children < 8 years, the initial DF median dose/kg was 2.5 [2.3,3.3] J/kg with sDF in 14/26 (54%) shocks and sustained ROSC in 10/18 (56%) children. For those 8 to <18 years, initial DF median dose/kg was 3.0 [2.5,3.4] J/kg with sDF in 10/25 (40%) shocks and sustained ROSC in 10/16 (63%). AMSA was significantly higher prior to sDF than in unsuccessful DF ( p AMSA 19.14±8.11 vs.12.0±7.38 mV-Hz, p = 0.0021; i AMSA 19.08±7.38 vs. 11.04±6.57 mV-Hz, p = 0.0053). Area under the ROC curve was 0.765 for p AMSA and 0.796 for i AMSA. Conclusions: We characterized DF dose and AMSA during pediatric IHCA with an initial rhythm of VF and found that sDF was significantly associated with AMSA >19 mV-Hz. Future studies should determine the AMSA threshold that predicts sDF in children due to differences in heart size and cardiac arrest etiology.

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)0.003
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.259
Teacher spread0.252 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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