Recurrent Intensive Care Episodes and Mortality Among Children With Severe Neurologic Impairment
Bibliographic record
Abstract
Importance: Children requiring care in a pediatric intensive care unit (PICU) are known to have increased risk of subsequent mortality. Children with severe neurologic impairment (SNI)-who carry neurologic or genetic diagnoses with functional impairments and medical complexity-are frequently admitted to PICUs. Although recurrent PICU critical illness episodes (PICU-CIEs) are assumed to indicate a poor prognosis, the association between recurrent PICU-CIEs and mortality in this patient population is poorly understood. Objective: To assess the association between number of recent PICU-CIEs and survival among children with severe neurologic impairment. Design, Setting, and Participants: This population-based retrospective cohort study used health administrative data from April 1, 2002, to March 31, 2020, on 4774 children born between 2002 and 2019 with an SNI diagnosis code in an Ontario, Canada, hospital record before 16 years of age and a first PICU-CIE from 2002 to 2019. Data were analyzed from November 2021 to June 2023. Exposure: Pediatric intensive care unit critical illness episodes (excluding brief postoperative PICU admissions). Main Outcome and Measures: One-year survival conditioned on the number and severity (length of stay >15 days or use of invasive mechanical ventilation) of PICU-CIEs in the preceding year. Results: In Ontario, 4774 children with SNI (mean [SD] age, 2.1 [3.6] months; 2636 [55.2%] <1 year of age; 2613 boys [54.7%]) were discharged alive between 2002 and 2019 after their first PICU-CIE. Ten-year survival after the initial episode was 81% (95% CI, 79%-82%) for children younger than 1 year of age and 84% (95% CI, 82%-86%) for children 1 year of age or older; the age-stratified curves converged by 15 years after the initial episode at 79% survival (95% CI, 78%-81% for children <1 year and 95% CI, 75%-84% for children ≥1 year). Adjusted for age category and demographic factors, the presence of nonneurologic complex chronic conditions (adjusted hazard ratio [AHR], 1.70 [95% CI, 1.43-2.02]) and medical technology assistance (AHR, 2.32 [95% CI, 1.92-2.81]) were associated with increased mortality. Conditional 1-year mortality was less than 20% regardless of number or severity of recent PICU-CIEs. Among children with high-risk PICU-CIEs, 1-year conditional survival decreased from 90% (95% CI, 89%-91%) after the first PICU-CIE to 81% (95% CI, 77%-86%) after the fourth PICU-CIE. Conclusions and Relevance: This cohort study of children with SNI demonstrated a modest dose-dependent association between PICU-CIEs and short-term mortality. These data did not support the conventional wisdom that recurrent PICU admissions are associated with subsequent high mortality risk.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".