Impact of nationwide essential trace element shortages: A before‐after, single‐center analysis of hospitalized adults receiving home parenteral nutrition therapy
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Recent data on the prevalence of essential trace element (ETE) deficiencies in home parenteral nutrition (HPN) patients are scarce. We investigated whether ETE deficiencies are still an important issue for HPN patients and whether the prevalence of such deficiencies may be influenced by nationwide drug shortages. METHODS: We conducted a single-institution, retrospective analysis from 2006 to 2015 of hospitalized HPN patients who continued PN during and in between hospitalizations. In subgroup analysis, patients were dichotomized as those with HPN duration <1 vs ≥1 year. Zinc (Zn), copper (Cu), and selenium (Se) levels were abstracted for patients over the study period. Prevalence of ETE deficiency was compared using chi-squared test for patients hospitalized during nonshortage vs shortage (2011-2014) periods. RESULTS: Ninety-six patients were included in the analysis. Prevalence of ETE deficiency during nonshortage vs shortage periods was 48% vs 54% (Zn), 15% vs 21% (Cu), and 24% vs 48% (Se; P = .01), respectively. When comparing patients who received HPN <1 year vs ≥1 year, the prevalence of Se deficiency doubled during shortage in both subgroups (24% to 42% vs 26% to 49%); and Cu deficiency tripled during shortage period in the group receiving HPN ≥1 year (5% to 16%). CONCLUSION: ETE deficiency is prevalent in hospitalized HPN patients and was exacerbated during nationwide shortages of parenteral supplements. Statistical significance may be limited by small sample size. Future studies are needed to determine optimal ETE supplementation strategies for minimizing the impacts of nationwide drug shortages on HPN patients.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it