Vitamin C Does Not Affect Platelet Counts in Patients With Sepsis: A Post hoc Analysis of the Lessening Organ Dysfunction With Vitamin C Randomized Trial
Bibliographic record
Abstract
OBJECTIVE: Vitamin C has been linked to alterations in platelet count and aggregation behavior. Given recent findings suggesting an association between vitamin C and adverse outcomes in patients with septic shock, we aimed to investigate whether vitamin C influences mortality in septic patients through its impact on platelets. DESIGN: Post hoc analysis of the Lessening Organ Dysfunction With Vitamin C (LOVIT) randomized trial (clinicaltrials.gov NCT03680274). SETTING: Multicenter international study. PATIENTS: Patients were included with an ICU stay of more than 24 hours, confirmed or suspected infection, vasopressor requirement, and availability of platelet count data. INTERVENTION: Vitamin C (50 mg/kg body weight) every 6 hours for 4 days, or placebo. MEASUREMENTS AND MAIN RESULTS: Of the 863 patients enrolled in the LOVIT trial, 859 had available platelet count data at any time. Although the longitudinal trajectory of platelet count was significantly associated with 28-day mortality (hazard ratio 0.97 per 10 × 10 9 /L increase, 95% CI, 0.96–0.98), there was no interaction between the effect of vitamin C on mortality and either platelet count at baseline or over time. CONCLUSIONS: These results do not support the hypothesis that vitamin C administration increases mortality risk by affecting platelet count.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".