150 Osteoporosis Risk Factors in Children with Cerebral Palsy
Bibliographic record
Abstract
Abstract Primary Subject area Complex Care Background Cerebral palsy (CP) is a common motor disability in children. Due to their medical complexity, children with CP are prone to osteoporosis, and consequently, fractures. The prevalence of osteoporosis and its risk factors are poorly understood within this population. Objectives To determine the prevalence and predictors of osteoporosis among a provincial cohort of Canadian children with CP. Design/Methods We performed a retrospective descriptive cohort study in a single Canadian tertiary care pediatric hospital. The medical charts of the 187 children with CP currently followed by the rehabilitation team were reviewed. Primary outcomes were indicators of osteoporosis, including vertebral compression fractures (VCF), long bone fractures and BMD Z-score. Osteoporosis risk factors, including medications, chronic or endocrine disorders linked to secondary osteoporosis, feeding method, and mobilization level (GMFCS), were collected. Two-tail p-values were calculated using the Chi-squared Person’s cumulative test. Results Of the 187 included children, the majority were male (59%) and were living in a rural area (62%). Seven (3.7%) individuals met diagnostic criteria for osteoporosis with a VCF without history of high-energy trauma or local disease. Of these, four were females and three were males. Osteoporosis risk factors are presented in Table 1. GMFCS, feeding method and medications linked to secondary osteoporosis had a significant statistical difference in the children diagnosed with a VCF compared to participants without osteoporosis diagnostic criteria. Conclusion 3.7% of children followed by the provincial rehabilitation team have osteoporosis. This is one of the first studies that establishes the frequency of osteoporosis among a provincial cohort of Canadian children with CP. Mobilization level, feeding method and consumption of medications linked to secondary osteoporosis seem to be major risk factors for osteoporosis in children with CP. Larger prospective studies are needed to confirm this association, in order to improve prevention strategies.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".