Muscle Strength, Agility, and Body Composition in Children With Intestinal Failure on Parenteral Nutrition
Bibliographic record
Abstract
OBJECTIVES: With increasing number of children with intestinal failure (IF) on long-term parenteral nutrition (PN), this study assesses the impact of IF on muscle strength, speed, and agility and body composition (BC), identifying clinical factors that may predict impairment. METHODS: Cross-sectional study in children 5-18 years with IF on PN. Assessments included Bruininks-Oseretsky Test of Motor Proficiency-2 strength and agility subtest (BOT-2), and grip strength. BC data from dual-energy x-ray absorptiometry (DXA) measurements and clinical variables were collected by chart abstraction. Data were compared to age and sex matched controls and population norms. RESULTS: Twenty-one children with IF (14 males), median age 8.33 (IQR: 6.96-11.04) years and 33 controls (20 males), 8.25 (6.67-10.79) years were included. Strength and agility ( P < 0.001) and grip strength ( P = 0.001) differed between groups. Nine of 21 (43%) of children with IF scored >1 standard deviation (SD) below mean on BOT-2 and 13 of 21 (62%) had grip strength >1 SD below mean. DXA measurements showed 10 of 18 (56%) of children had lower fat-free mass (FFM)% and higher fat mass (FM)% than reference norms. Decreased FFM% was associated with lower BOT-2 scores ( r = 0.479; P = 0.044) and grip strength scores >1 SD below mean ( P = 0.047). Additional clinical factors significantly impacting strength and agility included prematurity, height, hospitalizations, sepsis, and small bowel length. CONCLUSIONS: Children with IF are at risk of decreased muscle strength and agility, along with altered BC. Ongoing medical, nutritional, and rehabilitation intervention is vital to optimize outcomes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".