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 | 0.068 | 0.129 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.013 |
| Bibliometrics | 0.013 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.010 | 0.009 |
| Research integrity | 0.007 | 0.007 |
| 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".