Endocrine Dysfunction Criteria in Critically Ill Children: The PODIUM Consensus Conference
Bibliographic record
Abstract
CONTEXT: Endocrine dysfunction is common in critically ill children and is manifested by abnormalities in glucose, thyroid hormone, and cortisol metabolism. OBJECTIVE: To develop consensus criteria for endocrine dysfunction in critically ill children by assessing the association of various biomarkers with clinical and functional outcomes. DATA SOURCES: PubMed and Embase were searched from January 1992 to January 2020. STUDY SELECTION: We included studies in which researchers evaluated critically ill children with abnormalities in glucose homeostasis, thyroid function and adrenal function, performance characteristics of assessment and/or scoring tools to screen for endocrine dysfunction, and outcomes related to mortality, organ-specific status, and patient-centered outcomes. Studies of adults, premature infants or animals, reviews and/or commentaries, case series with sample size ≤10, and non-English-language studies were excluded. DATA EXTRACTION: Data extraction and risk-of-bias assessment for each eligible study were performed by 2 independent reviewers. RESULTS: The systematic review supports the following criteria for abnormal glucose homeostasis (blood glucose [BG] concentrations >150 mg/dL [>8.3 mmol/L] and BG concentrations <50 mg/dL [<2.8 mmol/L]), abnormal thyroid function (serum total thyroxine [T4] <4.2 μg/dL [<54 nmol/L]), and abnormal adrenal function (peak serum cortisol concentration <18 μg/dL [500 nmol/L]) and/or an increment in serum cortisol concentration of <9 μg/dL (250 nmol/L) after adrenocorticotropic hormone stimulation. LIMITATIONS: These included variable sampling for BG measurements, limited reporting of free T4 levels, and inconsistent interpretation of adrenal axis testing. CONCLUSIONS: We present consensus criteria for endocrine dysfunction in critically ill children that include specific measures of BG, T4, and adrenal axis testing.
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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 | 0.076 | 0.139 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.010 | 0.014 |
| Bibliometrics | 0.013 | 0.009 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.010 | 0.009 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".