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Record W2915799108 · doi:10.1097/pcc.0000000000001897

Cardiac Arrest Outcomes in Children With Preexisting Neurobehavioral Impairment*

2019· article· en· W2915799108 on OpenAlexaboutno aff
James R. Christensen, Beth S. Slomine, Faye S. Silverstein, Kent Page, Richard Holubkov, Jay B. Dean, Frank W. Moler

Bibliographic record

VenuePediatric Critical Care Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicCardiac Arrest and Resuscitation
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Heart, Lung, and Blood Institute
KeywordsVineland Adaptive Behavior ScaleMedicineHypothermiaPediatricsInternal medicineCognitionPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: To describe survival and 3-month and 12-month neurobehavioral outcomes in children with preexisting neurobehavioral impairment enrolled in one of two parallel randomized clinical trials of targeted temperature management. DESIGN: Secondary analysis of Therapeutic Hypothermia after Pediatric Cardiac Arrest In-Hospital and Out-of-Hospital trials data. SETTING: Forty-one PICUs in the United States, Canada, and United Kingdom. PATIENTS: Eighty-four participants (59 in-hospital cardiac arrest and 25 out-of-hospital cardiac arrest), 49 males, 35 females, mean age 4.6 years (SD, 5.36 yr), with precardiac arrest neurobehavioral impairment (Vineland Adaptive Behavior Scales, Second Edition composite score < 70). All required chest compressions for greater than or equal to 2 minutes, were comatose and required mechanical ventilation after return of circulation. INTERVENTIONS: Neurobehavioral function was assessed using the Vineland Adaptive Behavior Scales, Second Edition at baseline (reflecting precardiac arrest status), and at 3 and 12 months postcardiac arrest, followed by on-site cognitive evaluation. Vineland Adaptive Behavior Scales, Second Edition norms are 100 (mean) ± 15 (SD); higher scores indicate better function. Analyses evaluated survival, changes in Vineland Adaptive Behavior Scales, Second Edition, and cognitive functioning. MEASUREMENTS AND MAIN RESULTS: Twenty-eight of 84 (33%) survived to 12 months (in-hospital cardiac arrest, 19/59 (32%); out-of-hospital cardiac arrest, 9/25 [36%]). In-hospital cardiac arrest (but not out-of-hospital cardiac arrest) survival rate was significantly lower compared with the Therapeutic Hypothermia after Pediatric Cardiac Arrest group without precardiac arrest neurobehavioral impairment. Twenty-five survived with decrease in Vineland Adaptive Behavior Scales, Second Edition less than or equal to 15 (in-hospital cardiac arrest, 18/59 (31%); out-of-hospital cardiac arrest, 7/25 [28%]). At 3-months postcardiac arrest, mean Vineland Adaptive Behavior Scales, Second Edition scores declined significantly (-5; SD, 14; p < 0.05). At 12 months, Vineland Adaptive Behavior Scales, Second Edition declined after out-of-hospital cardiac arrest (-10; SD, 12; p < 0.05), but not in-hospital cardiac arrest (0; SD, 15); 43% (12/28) had unchanged or improved scores. CONCLUSIONS: This study demonstrates the feasibility, utility, and challenge of including this population in clinical neuroprotection trials. In children with preexisting neurobehavioral impairment, one-third survived to 12 months and their neurobehavioral outcomes varied broadly.

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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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)0.0010.000

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 head0.011
GPT teacher head0.307
Teacher spread0.296 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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