Evidence map›Paper›PMID 42329551›Full record

Trial reportClinical pharmacokinetics2026

Population Pharmacokinetics of Intravenous Vitamin C in Adults with Sepsis: A Sub-study of the LOVIT Trial.

Salmaan Kanji, María Patricia Hernández-Mitre, Hugues Blain, Neill K J Adhikari, Francois Lamontagne, Marie-Claude Battista, Julie Ménard, Sheila Sprague, Marie-Hélène Masse, Jason A Roberts and 1 more

Abstract readRandomized Controlled TrialMulticenter Study
PubMed Publisher
In one paragraph

Trial report in Clinical pharmacokinetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Salmaan KanjiThe Ottawa Hospital, The Ottawa Hospital Research Institute, Ottawa, ON, Canada. skanji@toh.ca.ORCID http://orcid.org/0000-0003-0594-0360
María Patricia Hernández-MitreUniversity of Queensland Centre for Clinical Research, Faculty of Health, Medicine and Behavioral Sciences (HMBS), The University of Queensland, Brisbane, QLD, Australia.
Hugues BlainDepartment of Pharmacy, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.
Neill K J AdhikariDepartment of Critical Care Medicine, Sunnybrook Health Sciences Centre, Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, ON, Canada.
Francois LamontagneCentre de recherche du Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, QC, Canada.
Marie-Claude BattistaCentre de recherche du Centre hospitalier universitaire de Sherbrooke, Université de Sherbrooke, Sherbrooke, QC, Canada.
Julie MénardResearch Centre of the Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.
Sheila SpragueDepartment of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, ON, Canada.
Marie-Hélène MasseResearch Centre of the Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada.
Jason A RobertsUniversity of Queensland Centre for Clinical Research, Faculty of Health, Medicine and Behavioral Sciences (HMBS), The University of Queensland, Brisbane, QLD, Australia.
LOVIT Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesHigh-dose intravenous vitamin C was associated with increased harm in adults with sepsis requiring vasopressors in the large international LOVIT trial. This population pharmacokinetic sub-study of LOVIT aimed to characterise the pharmacokinetics of vitamin C and explore associations with patient characteristics and outcomes.

methodsPatients who enrolled in the LOVIT trial were randomized to receive 50 mg/kg vitamin C every 6 hours for 96 hours or placebo. Blood samples were collected on study Days 1, 3, and 7 for plasma vitamin C quantification. Population pharmacokinetic modeling was performed, with relevant patient and treatment-related factors tested as covariates. Internal validation was conducted using bootstrap resampling (n = 1000). Univariable and multivariable analyses explored associations between 28-day mortality and patient characteristics, as well as the relationship between vitamin C exposure and severity of illness.

resultsA total of 464 samples from 161 patients who were randomized to vitamin C were analysed. The median age was 64 (interquartile range [IQR] 56-72) years, weight 82 (IQR, 70-94) kg, and APACHE II score 24 (IQR, 18-29); 65.2% were male. A one-compartment model best described the data, with clearance (CL) significantly influenced by CKD-EPI eGFR and APACHE II score. Population mean estimates for clearance and volume of distribution were 3.37 L/h and 45.06 L, respectively. The model was internally validated and demonstrated to be robust and stable. Although greater vitamin C exposure was observed among non-survivors versus survivors (median 1900.5 [IQR 1191.8-2548.2] vs 1017.8 [IQR 630-1836.7] mg·h/L; p < 0.001), only age (odds ratio [OR] 1.063; 95% confidence interval [CI] 1.024-1.104, p = 0.001) and APACHE II score (OR 1.079; 95% CI 1.005-1.158, p = 0.036) were independently associated with 28-day mortality. Severity of illness was also predictive of vitamin C exposure.

conclusionsVitamin C pharmacokinetics are highly variable between individuals. Some of this variability can be explained by changes in glomerular filtration and APACHE II score as a measure of illness severity. Although non-survivors had greater vitamin C exposure than survivors, exposure was not independently associated with mortality.

Indexed as

Ascorbic AcidModels, BiologicalSepsisAdministration, IntravenousAgedFemaleHumansMaleMiddle AgedSeverity of Illness IndexAscorbic Acid

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.