Hypocarbia is associated with adverse outcomes in hypoxic ischaemic encephalopathy (<scp>HIE</scp>)
Bibliographic record
Abstract
AIM: Hypocarbia in the early postnatal period might exacerbate brain injury in babies with hypoxic ischaemic encephalopathy following birth asphyxia. This mini-review summarised studies on pCO2 values that were monitored periodically in term newborns with moderate/severe hypoxic-ischaemic encephalopathy and correlated with short or long-term outcomes. METHODS: We searched the databases MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), web of science and the Cochrane Library and identified nine studies. RESULTS: Among the nine included studies, therapeutic hypothermia was administered in seven studies. In most studies, blood pCO2 levels were measured from birth till 72 h of life or till the endpoint of therapeutic hypothermia. Eight studies showed that any hypocarbia (moderate or severe, or cumulative) was associated with an increased risk of adverse outcomes in the form of brain injury in MRI, death or neurodevelopmental disability. CONCLUSION: Hypocarbia could lead to adverse short-term and long-term outcomes despite therapeutic hypothermia in neonates with HIE. Hence, it is vital to monitor pCO2 levels closely in these infants and consider strategies to maintain pCO2 levels in the normal range.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".