Changes in whole-blood PUFA and their predictors during recovery from severe acute malnutrition
Bibliographic record
Abstract
Children with severe acute malnutrition (SAM) with complications require in-patient management including therapeutic feeding. Little attention has been given to the effects of these feeds on the essential fatty acid status of children with SAM. The objective of this study was to describe changes in the PUFA composition in whole blood in children with SAM during treatment and to determine predictors of change. This prospective study took place in a paediatric nutrition rehabilitation unit in Kampala, Uganda, and assessed whole-blood fatty acid composition of children with SAM at admission, transition, discharge and follow-up (8 and 16 weeks). ANCOVA was used to identify predictors of change in whole-blood PUFA. The study included 120 children with SAM and twenty-nine healthy control children of similar age and sex. Among the SAM children, 38 % were female and 64 % had oedema. Whole-blood n-6 PUFA proportions increased from admission to follow-up, except for arachidonic acid, which decreased by 0·79 (95 % CI 0·46, 1·12) fatty acid percentage (FA%) from admission to transition and 0·10 (95 % CI 0·23, 0·44) FA% at discharge. n-3 Long-chain (LC) PUFA decreased by 0·21 (95 % CI 0·03, 0·40) FA% at discharge and 0·22 (95 % CI 0·01, 0·42) FA% at 8 weeks of follow-up. This decrease was greater in children from families with recent fish intake and those with nasogastric tube feeding. Current therapeutic feeds do not correct whole-blood levels of LCPUFA, particularly n-3 LCPUFA, in children with SAM. Increased attention is needed to the contents of n-3 LCPUFA in therapeutic feeds.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".