The Prevalence of Vitamin D Insufficiency and Deficiency and Their Relationship with Bone Mineral Density and Fracture Risk in Adults Receiving Long-Term Home Parenteral Nutrition
Bibliographic record
Abstract
It has been demonstrated that low bone mass and vitamin D deficiency occur in adult patients receiving home parenteral nutrition (HPN). The aim of this study is to determine the prevalence of vitamin D insufficiency and deficiency and its relationship with bone mineral density (BMD) and fracture risk in long-term HPN patients. Methods: A retrospective chart review of all 186 patients in the HPN registry followed by the Northern Alberta Home Parenteral Nutrition Program receiving HPN therapy >6 months with a 25 (OH) D level and BMD reported were studied. Results: The mean age at the initiation of HPN was 53.8 (20–79) years and 23 (37%) were male. The mean HPN duration was 56 (6–323) months and the most common diagnosis was short bowel syndrome. Based on a total of 186 patients, 62 patients were categorized based on serum vitamin D status as follows: 1 (24.2%) sufficient, 31 (50%) insufficient and 16 (25.8%) deficient. Despite an average of 1891 IU/day orally and 181 IU/day intravenously vitamin D, the mean vitamin D level was 25.6 ng/mL (insufficiency) and 26.2 ± 11.9 ng/mL in patients with the highest 10-year fracture risk. Conclusion: Suboptimal vitamin D levels are common among patients on long-term HPN despite nutrient intake that should meet requirements.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".