Hypovitaminosis D in Geriatric Acute Care Unit: A Biomarker of Longer Length of Stay
Bibliographic record
Abstract
BACKGROUND: Hypovitaminosis D is linked to unstable health in older adults. Our objectives were to determine (i) the difference in length of stay (LOS) in geriatric acute care unit between inpatients with and without hypovitaminosis D and (ii) whether there was a linear association between serum 25-hydroxyvitamin D (25OHD) concentration and LOS. METHODS: 253 inpatients admitted in 2008 to the geriatric acute care unit of Angers University Hospital, France, (mean age±standard deviation, 86.2 ± 6.0 years; 66.8% female) were included in this historical cohort study. LOS was calculated by subtracting day of admission from day of discharge. Hypovitaminosis D was defined as 25OHD≤50 nmol/L at the time of admission. Age, gender, place of life, functional independence, reason for admission, number of acute diseases and comorbidities, use of vitamin D supplements, and creatinine clearance were used as confounders. RESULTS: Participants with hypovitaminosis D had longer LOS than their counterparts (15.2 ± 8.2 days versus 12.1 ± 7.0 days, P = 0.017), underlining a mean difference of 3 days. 25OHD concentration inversely correlated (r = -0.14, P = 0.028) and was inversely associated with LOS (adjusted β = -0.07 [95%CI: -0.14; -0.02], P = 0.043). CONCLUSIONS: We found an inverse linear association between serum 25OHD concentrations and LOS in a geriatric acute care unit. Participants with 25OHD>50 nmol/L were hospitalized on average 3 days less than those with 25OHD≤50 nmol/L.
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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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".