A Pilot Feasibility Randomized Controlled Trial of Intravenous Vitamin C in Adults with Sepsis in the Intensive Care Unit: The Lessening Organ Dysfunction with Vitamin C-India (LOVIT-India) Trial
Bibliographic record
Abstract
Background: The burden of sepsis is high in India and is associated with substantial morbidity and mortality.Vitamin C, an endogenous antioxidant, may improve patient outcomes.Methods: This was a parallel-group pilot feasibility randomized controlled trial conducted at 2 intensive care units in India.Adult patients (≥18 years) with proven or suspected infection as the main diagnosis and needing a continuous intravenous vasopressor infusion were randomized to intravenous vitamin C (50 mg/kg every 6 hours for a maximum of 16 doses) or matching placebo.Primary outcomes were related to protocol adherence and feasibility (enrollment per month).The key secondary outcome was the composite of mortality or persistent organ dysfunction (POD) at day 28 after randomization.Results: 60 patients were screened, 51 were eligible, 32 were randomized, and 30 were included in the analysis (randomized/eligible ratio: 0.63).The overall rate of enrollment was 1.5 patients per month.The median (IQR) age was 63.5 (51.0, 70.0) and 70.0% of the patients were male.In both arms, all patients received ≥90% of scheduled doses of the study drug.No patient received open-label vitamin C and there were no deviations from the glucose monitoring protocol.The composite outcome of mortality or POD at day 28 occurred in 56.3% (9/16) in the vitamin C arm as compared to 42.9% (6/14) in the placebo arm [RR: 1.31 (95% CI: 0.62, 2.76), p = 0.47].Conclusion: In this pilot feasibility randomized controlled trial of vitamin C for adult patients with sepsis, protocol adherence was excellent and feasibility endpoints were met.Trial registration: CTRI/2020/03/024371.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".