The Canadian Home Total Parenteral Nutrition (HTPN) Registry
Bibliographic record
Abstract
BACKGROUND: Vitamin K supplementation improves bone health, and its absence might be associated with low bone mineral density (BMD). The authors aim to assess vitamin K supplementation practices in Canadian home parenteral nutrition (HPN) programs and their relationship with BMD. METHODS: This is a cross-sectional study of 189 patients from the Canadian HPN registry. RESULTS: All 189 patients studied received M.V.I.-12, which does not contain vitamin K. Of those, 41.3% were supplemented with 10 mg of intravenous vitamin K (VK+) weekly, whereas the others did not receive vitamin K except via lipid emulsion (VK-). Short bowel syndrome accounted for 69% of VK+ and 46% of VK- patients. On univariate analysis, VK+ patients had substantially lower body mass index (BMI) and received lower bisphosphonate infusion than did VK-patients. There were no statistically significant differences in HPN calcium or lipid content, liver function test results, age, sex, or reason for HPN between the 2 groups. Patients who were VK+ had higher lumbar spine T scores and hip T scores than did VK-patients. General linear modeling analysis, adjusted for BMI, age, PN magnesium, PN phosphate, PN calcium, and bisphosphonate as possible predictors of BMD, showed a trend toward better hip T scores (P = .063) for VK+ patients compared with VK- patients. CONCLUSION: In HPN patients supplemented with vitamin K, the trend toward a better hip BMD compared with no supplementation suggests a role for vitamin K in preserving BMD. This requires further study.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".