Pediatric in-intensive-care-unit cardiac arrest: Incidence, survival, and predictive factors*
Bibliographic record
Abstract
OBJECTIVE: To describe the incidence, survival, and neurologic outcome of in-intensive-care-unit (ICU) cardiac arrest and to identify factors predictive of survival to hospital discharge. METHODS: We performed a retrospective cohort study. Eligible patients were <18 yrs of age and experienced a cardiac arrest during their admission to a multidisciplinary pediatric intensive care unit in the 5.5-yr period ending June 2002. Cardiac arrest was defined as the administration of chest compressions or defibrillation for a nonperfusing cardiac rhythm. Mortality and the Paediatric Cerebral Performance Score were measured and presented according to the Utstein style. Factors predictive of survival to hospital discharge were identified by univariate analysis and independent predictors were identified by multivariate analysis. MAIN MEASUREMENTS AND RESULTS: Ninety-one children had cardiac arrest, yielding an incidence of 0.94 cardiac arrests per 100 admissions. Resuscitation was successful in 75 (82%) children, 61 (67%) survived 24 hrs, 25 (27%) children survived to ICU discharge and 23 (25%) to hospital discharge. At hospital discharge, the median Pediatric Cerebral Performance Category score was 2 (range, 1-3) and the median Pediatric Overall Performance Category score was 3 (range, 1-4). No child was assessed as normal on both scores. The independent positive predictors of hospital mortality were the presence of renal failure before cardiac arrest (odds ratio [OR], 6.1; 95% confidence interval [CI], 1.8-31), being on epinephrine infusion at time of cardiac arrest (OR, 9.5; 95% CI, 1.5-62), and the administration of one or more calcium boluses during resuscitation (OR, 5.4; 95% CI, 1.1-25). The use of extracorporeal membrane oxygenation (ECMO) within 24 hrs after cardiac arrest was associated with reduced hospital mortality (OR, 0.18; 95% CI, 0.04-0.76). CONCLUSIONS: In-ICU cardiac arrest is associated with high in-hospital mortality and subsequent morbidity in survivors. Prearrest renal dysfunction and epinephrine infusion were associated with increased in-hospital mortality. The use of post-arrest ECMO within 24 hrs was associated with reduced mortality. Rigorous prospective evaluation of the role of ECMO following cardiac arrest is needed.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".