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Record W3106231925 · doi:10.1161/circ.142.suppl_4.133

Abstract 133: Association of End Tidal Carbon Dioxide >20mmhg with Pediatric In-hospital Cardiac Arrest Quality of Cpr and Survival

2020· article· en· W3106231925 on OpenAlexaff
Priscilla Yu, Robert M Sutton, Richard Hanna, Xuemei Zhang, Heather Griffis, Dana Niles, Robert A. Berg, Andrea Christoff, Takanari Ikeyama, Jonathan Gilleland, Kamal Abulebda, Tia T. Raymond, Vinay Nadkarni

Bibliographic record

VenueCirculation · 2020
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsAlberta Children's Hospital
Fundersnot available
KeywordsMedicinePoisson regressionCutoffCapnographyReturn of spontaneous circulationEmergency medicineAnesthesiaCardiopulmonary resuscitationResuscitationPopulation

Abstract

fetched live from OpenAlex

Introduction: AHA recommends titrating chest compressions (CC) to achieve end-tidal carbon dioxide (ETCO2)>20mmHg, based on laboratory, adult, and very limited pediatric IHCA data. Hypothesis: ETCO2>20mmHg averaged during the first 10 min of recorded CPR is associated with 1) compliance with AHA CC depth quality targets, and 2) survival to hospital discharge. Methods: All pediatric 2015-2019 IHCA events reported by 4 pediRES-Q sites with simultaneous ETCO2 and CC metrics (ZOLL R-Series defibrillator) measured. Analysis included the first 10 min of CPR with CC data recorded using dual sensor accelerometers that compensate for mattress deflection. Compliance with 2015 AHA guidelines CC depth quality target defined as ∼1/3 estimated AP diameter: ≥3.4 cm for infants <1yr, ≥4.4cm for 1 to < 8yrs, and 4.5-6.6cm for 8 to ≤ 18yrs. Primary analysis for ETCO2>20mmHg cutoff association with CC depth and survival by modified Poisson regression models, accounting for age. Secondary analysis for mean ETCO2 (no a priori cutoff) association with CC depth and survival, adjusting for age. Results: Of 44 events (24 index): median 10-min averaged ETCO2 was 23 [IQR 13, 37] mmHg, CPR duration was 23 [IQR 10, 53] min, return of spontaneous circulation (ROSC) was 70% (31/44), and survival to hospital discharge was 33% (8/24). ETCO2>20 mmHg cutoff was associated with CC depth [RR 1.55 (95%CI: 1.20,2.00) p=0.0007], and age-specific AHA depth quality target compliance [RR 1.01 (95%CI: 1.00,1.02) p=0.02. However, ETCO2 > 20mmHg cutoff was not significantly associated with survival: ROSC [RR 1.08 (95%CI: 0.71, 1.65), p=0.72)] nor survival to hospital discharge [RR 1.10 (95%CI: 0.33, 3.65), p=0.87]. Mean 10-min averaged ETCO2 (no cutoff) was not significantly associated with CC depth (p=0.09), age-specific AHA depth quality target compliance (p=0.07), ROSC (p=0.57) , nor survival to hospital discharge (26 [IQR 14, 43] mmHg vs. 16 [IQR 13,34] mmHg non-survival to hospital discharge, p=0.28). Conclusions: In this multicenter pediatric In-hospital CPR cohort, ETCO2>20mmHg cutoff averaged during the first 10-min of recorded CPR was significantly associated with CC depth and age-specific AHA depth quality target compliance, but not with ROSC or survival to hospital discharge.

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)0.006
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 score0.008
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.012
GPT teacher head0.255
Teacher spread0.242 · 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
Published2020
Admission routes1
Has abstractyes

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