The Role of Energy Homeostasis in Nutritional Recovery of Malnourished Children after Hospitalization
Bibliographic record
Abstract
Childhood malnutrition, which is prevalent in low-income settings due to inadequate food intake or infectious diseases, significantly contributes to child morbidity and mortality. Acutely ill children with malnutrition require inpatient care according to WHO guidelines, followed by home-based nutritional rehabilitation. However, concerns persist regarding low rates of weight gain, delayed recovery, and relapses during post-discharge care. This study employed gold standard tools to determine total energy intake and resting energy expenditure in a longitudinal sample, utilizing an individual growth model to identify conditions under which energy homeostasis impacts weight trajectories in the first 45 days after hospital discharge. The findings revealed consistently low post-discharge weight gain rates, averaging approximately 2 grams per kilogram per day across malnourished children exhibiting varying degrees of wasting. Inadequate energy intake emerged as a significant contributing factor, with a median dietary density intake of 2.5 kilocalories per gram being a key concern. Both of which are presumed to be secondary to unaccounted social determinants, highlighting the complex interplay of factors influencing nutritional outcomes in this population. These results underscore the imperative need to reevaluate the criteria for transitioning from inpatient to outpatient care and to enhance nutritional support during home-based rehabilitation within household settings, thereby creating a seamless continuum of care.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".