Blood Glucose Range for Hyperglycemic PICU Children With Primary Neurologic Diagnoses: Analysis of the Heart and Lung Failure—Pediatric Insulin Titration (HALF-PINT) Trial
Bibliographic record
Abstract
OBJECTIVES: To compare two blood glucose (BG) ranges in critically ill children with and without primary neurologic diagnoses in the Heart and Lung Failure-Pediatric Insulin Titration trial (HALF-PINT; ClinicalTrials.gov Identifier NCT01565941). DESIGN: Non-prespecified post hoc analysis. SETTING: Thirty-one PICUs in the United States, and one in Canada. PATIENTS: Non-diabetic children enrolled from April 2012 to September 2016 with cardiovascular or respiratory failure and hyperglycemia. Patients in the neurologic subgroup had primary neurologic diagnoses on ICU admission. INTERVENTIONS: Patients were randomized to insulin infusion to target lower-BG (80-110 mg/dL; 4.4-6.1 mmol/L) or higher-BG (150-180 mg/dL; 8.3-10 mmol/L). MEASUREMENTS AND MAIN RESULTS: Primary diagnosis (neurologic vs. non-neurologic), daily BG and insulin values, outcomes (number of PICU-free days through day 28 and 1-y post-PICU discharge adaptive behavior composite score of Vineland Adaptive Behavior Scales, Second Edition). Of 698 patients analyzed, 64 (30 lower-BG target, 34 higher-BG target) had primary neurologic diagnoses and 634 (319 lower-BG target, 315 higher-BG target) had non-neurologic diagnoses. Within the neurologic subgroup, patients in the lower-BG targeting group had fewer ICU-free days compared with those in the higher-BG targeting group (median 8.5 vs. 21.1 d), whereas there was no difference between BG groups in the non-neurologic subgroup (20.5 vs. 19.3 d; interaction p = 0.02). One-year adaptive behavior composite score was less favorable for the lower-BG targeting group in those with neurologic diagnoses (mean 63.3 vs. 87.6), but no different in those with non-neurologic diagnoses (81.9 vs. 78.4; interaction p = 0.02). Lower-BG targeting was associated with more hypoglycemia (< 60 mg/dL) in both diagnostic subgroups, with no differential effect across subgroups ( p = 0.47). CONCLUSIONS: In this non-prespecified analysis of the HALF-PINT trial data, lower-BG targeting in hyperglycemic critically ill children with primary neurologic diagnoses was associated with unfavorable outcomes, while such BG targeting in those with non-neurologic diagnoses was not associated with adverse outcomes.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".