Key Points
Question
Does vitamin C administered intravenously to patients hospitalized with COVID-19 improve organ support–free days (composite outcome of in-hospital mortality and days alive and free of intensive care unit–based respiratory and cardiovascular support) up to day 21?
Findings
In 2 prospectively harmonized randomized clinical trials, the use of vitamin C vs control (placebo or no vitamin C) yielded posterior probabilities for efficacy of 8.6% among 1568 critically ill patients and 2.9% among 1022 patients who were not critically ill regarding the odds of improvement for organ support–free days.
Meaning
Among hospitalized patients with COVID-19, there was a low probability that vitamin C improved organ support–free days.
Importance
The efficacy of vitamin C for hospitalized patients with COVID-19 is uncertain.
Objective
To determine whether vitamin C improves outcomes for patients with COVID-19.
Design, Setting, and Participants
Two prospectively harmonized randomized clinical trials enrolled critically ill patients receiving organ support in intensive care units (90 sites) and patients who were not critically ill (40 sites) between July 23, 2020, and July 15, 2022, on 4 continents.
Interventions
Patients were randomized to receive vitamin C administered intravenously or control (placebo or no vitamin C) every 6 hours for 96 hours (maximum of 16 doses).
Main Outcomes and Measures
The primary outcome was a composite of organ support–free days defined as days alive and free of respiratory and cardiovascular organ support in the intensive care unit up to day 21 and survival to hospital discharge. Values ranged from –1 organ support–free days for patients experiencing in-hospital death to 22 organ support–free days for those who survived without needing organ support. The primary analysis used a bayesian cumulative logistic model. An odds ratio (OR) greater than 1 represented efficacy (improved survival, more organ support–free days, or both), an OR less than 1 represented harm, and an OR less than 1.2 represented futility.
Results
Enrollment was terminated after statistical triggers for harm and futility were met. The trials had primary outcome data for 1568 critically ill patients (1037 in the vitamin C group and 531 in the control group; median age, 60 years [IQR, 50-70 years]; 35.9% were female) and 1022 patients who were not critically ill (456 in the vitamin C group and 566 in the control group; median age, 62 years [IQR, 51-72 years]; 39.6% were female). Among critically ill patients, the median number of organ support–free days was 7 (IQR, −1 to 17 days) for the vitamin C group vs 10 (IQR, −1 to 17 days) for the control group (adjusted proportional OR, 0.88 [95% credible interval {CrI}, 0.73 to 1.06]) and the posterior probabilities were 8.6% (efficacy), 91.4% (harm), and 99.9% (futility). Among patients who were not critically ill, the median number of organ support–free days was 22 (IQR, 18 to 22 days) for the vitamin C group vs 22 (IQR, 21 to 22 days) for the control group (adjusted proportional OR, 0.80 [95% CrI, 0.60 to 1.01]) and the posterior probabilities were 2.9% (efficacy), 97.1% (harm), and greater than 99.9% (futility). Among critically ill patients, survival to hospital discharge was 61.9% (642/1037) for the vitamin C group vs 64.6% (343/531) for the control group (adjusted OR, 0.92 [95% CrI, 0.73 to 1.17]) and the posterior probability was 24.0% for efficacy. Among patients who were not critically ill, survival to hospital discharge was 85.1% (388/456) for the vitamin C group vs 86.6% (490/566) for the control group (adjusted OR, 0.86 [95% CrI, 0.61 to 1.17]) and the posterior probability was 17.8% for efficacy.
Conclusions and Relevance
In hospitalized patients with COVID-19, vitamin C had low probability of improving the primary composite outcome of organ support–free days and hospital survival.
Trial Registration
ClinicalTrials.gov Identifiers: NCT04401150 (LOVIT-COVID) and NCT02735707 (REMAP-CAP)
As of October 2023, the World Health Organization reported 771 million cases and 6.96 million deaths due to COVID-19.1 For hospitalized patients, immunomodulatory and antiviral therapies are effective but imperfect,2 and global availability remains disparate.3
Vitamin C is widely available and its use in patients with septic shock increased before the COVID-19 pandemic4 until clinical trials failed to demonstrate benefit.5-7 At the beginning of the COVID-19 pandemic, a World Health Organization report8 highlighted the use of vitamin C as a potential immunomodulatory agent. Vitamin C attenuates oxidative stress and microvascular thrombosis,9 which are features of COVID-19, and hospitalized patients with COVID-19 were found to have low serum vitamin C levels.10 A meta-analysis11 of trials including patients with COVID-19 reported that vitamin C may reduce hospital mortality.
Two initially separate randomized clinical trials were harmonized to investigate the effect of intravenous vitamin C on need for organ support and hospital survival in hospitalized patients with COVID-19, hypothesizing that vitamin C would increase the number of days alive and free of organ support.
Before recruitment commenced, the investigators harmonized and decided to pool data from 2 randomized clinical trials designed to evaluate the same vitamin C regimen. The Lessening Organ Dysfunction with Vitamin C for COVID-19 (LOVIT-COVID) trial was initially designed as a frequentist blinded trial with enrollment occurring in Canada. The Randomized, Embedded, Multifactorial Adaptive Platform Trial for Community-Acquired Pneumonia (REMAP-CAP) trial is an international, adaptive unblinded platform trial in patients with severe pneumonia.12 This report includes patients enrolled in the COVID-19 stratum of the REMAP-CAP trial.
Both trials prospectively adopted the same intervention, outcomes, statistical analysis plan, and reporting, but the control groups were different. The LOVIT-COVID trial used a placebo for the control group and the REMAP-CAP trial used no vitamin C for the control group. Development of the harmonized trial and essential details of the LOVIT-COVID and REMAP-CAP trials appear in Supplement 1 (eMethods and eTable 1). The protocols for each trial and the harmonized statistical analysis plan appear in Supplement 2.
The research ethics committee and regulatory authority in each jurisdiction approved the trial protocols. Informed consent was obtained (either before or after randomization) from all patients or their surrogates in accordance with applicable laws. Each trial had a steering committee (with co-chairs common between the 2 trials). Separate interim analyses were conducted for each trial, which did not incorporate data from the other trial, but the data and safety monitoring boards exchanged information regarding respective trial progress.
Eligible patients were adults admitted to the hospital with suspected or proven COVID-19. Patients admitted to an intensive care unit and receiving respiratory or cardiovascular organ support at the time of randomization were classified as critically ill and all others as not critically ill. This prospective classification was undertaken because of previous reports suggesting differential treatment effects in these 2 populations.13-15
Respiratory support was defined by receipt of invasive ventilation, noninvasive ventilation, or high-flow nasal oxygen and cardiovascular support by a vasopressor or inotrope infusion. In the LOVIT-COVID trial, critically ill patients were enrolled while receiving respiratory support; receipt of cardiovascular support at baseline was an exclusion criterion. Detailed selection criteria appear in the eMethods in Supplement 1.
To account for observed racial and ethnic differences in outcomes during the pandemic, the REMAP-CAP trial collected self-reported race and ethnicity from either participants or their surrogates, according to each region’s standards. Data on race and ethnicity were not collected in the LOVIT-COVID trial.
Randomization, Interventions, and Follow-Up
Randomization in both trials was concealed via separate computer-based randomization systems (Figure 1). Patients in the LOVIT-COVID trial were assigned in a 1:1 ratio to vitamin C or placebo stratified by site. In the REMAP-CAP trial, randomization was stratified by status (critically ill vs not critically ill), and patients could participate in other domains (eTable 2 in Supplement 1). The initial randomization ratio was 1:1 for vitamin C and no vitamin C, with patients subsequently assigned preferentially to the treatment group that appeared more favorable after each adaptive analysis (additional details appear in the trial protocol in Supplement 2).
In both trials, patients in the intervention group received vitamin C (50 mg/kg of body weight administered intravenously over 30-60 minutes every 6 hours for 96 hours; the maximum was 16 doses). All sites used locally available vitamin C formulations (eMethods in Supplement 1). In the LOVIT-COVID trial, glucose monitoring for patients receiving insulin or oral hypoglycemic agents was protocolized to account for the interference of vitamin C with bedside glucometers (eMethods in Supplement 1). In the REMAP-CAP trial, clinician adherence to the glucose monitoring protocol was advised for all patients randomized to vitamin C. All other aspects of care were at the discretion of clinicians. Patients were followed up while in the hospital, and survivors or their relatives were contacted by telephone at 6 months (all patients in the LOVIT-COVID trial and a subset of patients in the REMAP-CAP trial) for additional outcomes.
Primary and Secondary Outcomes
The primary outcome was a composite of an ordinal measure of organ support–free days defined as days alive and free of respiratory and cardiovascular organ support in the intensive care unit up to day 21 and survival to hospital discharge. This hospital-based outcome is associated with 180-day survival.16 Deaths within the hospital were assigned the worst outcome (–1 organ support–free days). Among hospital survivors, respiratory and cardiovascular organ support–free days were calculated up to day 21; a higher number represents faster recovery. Survival to hospital discharge was censored at 90 days. Patients who were not critically ill and who survived without needing any organ support were assigned the best outcome (22 organ support–free days).
Secondary outcomes were prespecified in the statistical analysis plan (Supplement 2) and included death or persistent organ dysfunction17 (receipt of invasive ventilation, a vasopressor infusion, or new kidney replacement therapy) at trial day 28, which was the primary outcome in the LOVIT trial7 of vitamin C in patients with sepsis.
The site investigators reported serious adverse events considered at least possibly related to a trial procedure to the coordinating center and then to the data and safety monitoring board and the national regulatory authorities as required. In the LOVIT-COVID trial, data on hemolysis and hypoglycemia were collected as safety outcomes. Additional in-hospital outcomes collected only in the LOVIT-COVID trial and outcomes after hospital discharge16 in both trials were not included in the statistical analysis plan.
After harmonization of both trials, scheduled interim analyses of the LOVIT-COVID trial, with an original fixed sample size of 800 participants, continued. In the REMAP-CAP bayesian trial, which had no maximum sample size, adaptive analyses were performed and response-adaptive randomization continued until reaching a predefined statistical trigger, initially specified as efficacy, inferiority, and equivalence (see below for definitions).
The statistical analysis plan for the harmonized trial specified that the trial outcomes would be reported from a merged data set created after both trials had stopped (additional details appear in the eMethods in Supplement 1 and in the statistical analysis plan in Supplement 2). The analysis used bayesian cumulative logistic models, which calculated posterior probability distributions based on accumulated trial evidence and a neutral prior distribution. Distinct treatment effects of vitamin C compared with control were estimated in critically ill patients and patients who were not critically ill using a hierarchical prior that dynamically borrowed information between groups. The hierarchical prior distribution was centered on an overall intervention effect estimated with a prior assuming no treatment effect (a standard normal prior on the log odds ratio [OR]).
The primary statistical model that was used to estimate the effect of vitamin C on organ support–free days, and a similar model that was used for hospital survival and 28-day death or persistent organ dysfunction, adjusted for the trial (the LOVIT-COVID trial vs the REMAP-CAP trial); eligibility and randomization to treatment domains within the REMAP-CAP trial; location (site nested within each country); age (categorized into 6 groups); sex; and period (2-week calendar epochs) to account for changes in clinical care and outcomes during the pandemic. The statistical models were fit using a Markov chain Monte Carlo algorithm that drew iteratively (20 000 draws) from the joint posterior distribution.
There were no interaction terms for vitamin C and other interventions. The model included patients enrolled in all other domains of the REMAP-CAP trial, including those that remained blinded, to provide robust estimation of the covariate effects. Patients enrolled only outside the vitamin C domain in the REMAP-CAP trial did not contribute to estimates for the treatment effect of vitamin C and contributed only to estimates for the covariate effects. The statistical analysis committee conducted the analysis for patients with COVID-19 randomized up to July 15, 2022.
Patients were analyzed according to group assignment and the missing outcomes were not imputed. Posterior ORs with 95% credible intervals (CrIs) were calculated, with an OR greater than 1 corresponding to vitamin C being superior to control. The probabilities of efficacy (OR >1), harm (OR <1), futility (OR <1.2), and equivalence (OR between 1/1.2 and 1.2) were calculated.
For the primary outcome, an ordinal scale with 24 categories (worst category labeled as −1 [death] and best category of alive with 21 days free of organ support labeled as 22), the OR denotes the relative odds of being in the category with a label greater than i vs i or less when i equals –1 to 21. The robustness of the proportional odds assumption was assessed for the primary ordinal regression model. For 90-day survival, and for time to discharge outcomes, an adjusted hazard ratio with a 95% CrI was calculated.
The original predefined statistical triggers for trial conclusions were based on posterior probabilities of efficacy (>99%; an OR for vitamin C >1), inferiority (>99%; an OR <1), and equivalence (>90%; an OR between 1/1.2 and 1.2). After the LOVIT trial7 found vitamin C increased the risk of 28-day death or persistent organ dysfunction in patients with sepsis, statistical triggers for futility (>95%; an OR <1.2) and harm (>90%; an OR <1) were added.
The sensitivity analyses for the primary outcome and 28-day death or persistent organ dysfunction, and the analyses of all secondary outcomes, used data from patients enrolled in the REMAP-CAP trial domains that had stopped and were unblinded at the time of analysis to inform covariate adjustment. Additional sensitivity analyses with different analysis populations, and prespecified subgroup analyses, appear in the statistical analysis plan in Supplement 2. One such analysis included 63 patients with COVID-19 enrolled in the LOVIT trial.7
Data management and summaries were created using R version 4.1.2 (R Foundation for Statistical Computing). The primary analysis was computed in R version 4.1.3 using the rstan package version 2.21.0.
The first patient was randomized in the LOVIT-COVID trial on August 23, 2020, and in the vitamin C domain of the REMAP-CAP trial on July 23, 2020. Both trials stopped recruitment on July 15, 2022, as advised by their data and safety monitoring boards because statistical triggers for futility and harm had been met for both strata (critically ill and not critically ill) in the REMAP-CAP trial. The interim analysis reports of both trials appear in the eResults in Supplement 1. The response-adaptive randomization proportions over time in the REMAP-CAP trial appear in eFigure 1 in Supplement 1.
Of 2613 randomized patients, 7 were determined to be ineligible, 15 withdrew consent for follow-up, and 1 critically ill patient in the control group contributed baseline data but data are missing for the primary outcome (Figure 1 and eFigures 2-3 in Supplement 1). The population for the primary statistical model included 2590 randomized and evaluable patients, with 1493 patients assigned to vitamin C and 1097 assigned to control.
There were 1568 critically ill patients from 90 sites and 1022 patients who were not critically ill from 40 sites; 2206 had complete follow-up data for the vitamin C domain of the REMAP-CAP trial and 384 in the LOVIT-COVID trial. Two critically ill patients included in the analysis withdrew consent for follow-up but allowed the collected data to be used for the analyses; their last known status was carried forward for the primary outcome. Accrual rates over time appear in eFigures 4-5 in Supplement 1. Covariate effects for the primary statistical models included 9802 organ support–free days outcomes from any REMAP-CAP trial domain and the LOVIT-COVID trial.
Baseline characteristics are reported in Table 1 and in eTables 3-8 in Supplement 1. Patients were recruited from Asia (34.7%), North America (28.5%), Europe (27.7%), and Australia (9.2%). Among critically ill patients, respiratory support at enrollment included invasive ventilation (28.0%), noninvasive ventilation (36.2%), and high-flow nasal oxygen (35.1%). Among patients who were not critically ill, most were not receiving respiratory support or only receiving low-flow oxygen (90.7%). Most patients received corticosteroids (95.1%). In the LOVIT-COVID trial, 96.1% of patients received 90% or greater of the scheduled doses (eTable 9 in Supplement 1). In the REMAP-CAP trial, 95.2% of patients did not experience a treatment delivery–related deviation (eTable 10 in Supplement 1).
Among critically ill patients, the median number of organ support–free days was 7 (IQR, –1 to 17 days) in the vitamin C group vs 10 (IQR, –1 to 17 days) in the control group and the adjusted proportional OR was 0.88 (95% CrI, 0.73 to 1.06), yielding a posterior probability of 8.6% for efficacy of vitamin C therapy, 91.4% for harm, and 99.9% for futility (Table 2 and Figure 2). Among patients who were not critically ill, the median number of organ support–free days was 22 (IQR, 18 to 22 days) in the vitamin C group vs 22 (IQR, 21 to 22 days) in the control group and the adjusted proportional OR was 0.80 (95% CrI, 0.60 to 1.01), yielding a posterior probability of 2.9% for efficacy of vitamin C therapy, 97.1% for harm, and greater than 99.9% for futility (Table 3 and Figure 3).
Among critically ill patients, survival to hospital discharge was 61.9% (642/1037) in the vitamin C group vs 64.6% (343/531) in the control group and the adjusted OR was 0.92 (95% CrI, 0.73-1.17), yielding a posterior probability of 24.0% for efficacy of vitamin C therapy, 76.0% for harm, and 98.4% for futility. Among patients not critically ill, survival to hospital discharge was 85.1% (388/456) in the vitamin C group vs 86.6% (490/566) in the control group and the adjusted OR was 0.86 (95% CrI, 0.61-1.17), yielding a posterior probability of 17.8% for efficacy of vitamin C therapy, 82.2% for harm, and 98.1% for futility.
Among critically ill patients, 90-day survival was 59.8% (617/1032) in the vitamin C group vs 62.1% (328/528) in the control group and the adjusted hazard ratio was 0.94 (95% CrI, 0.80-1.11), yielding a posterior probability of 22.4% for efficacy of vitamin C therapy (Table 2 and Figure 2). Among patients not critically ill, 90-day survival was 81.5% (370/454) in the vitamin C group vs 82.8% (466/563) in the control group and the adjusted hazard ratio was 0.93 (95% CrI, 0.74-1.19), yielding a posterior probability of 27.2% for efficacy of vitamin C therapy (Table 3 and Figure 3). Survival to 28 days without persistent organ dysfunction was similar in critically ill patients (adjusted OR, 0.90 [95% CrI, 0.72-1.12]; posterior probability of 16.4% for efficacy of vitamin C therapy; Table 2) and in patients not critically ill (adjusted OR, 0.92 [95% CrI, 0.68-1.23]; posterior probability of 26.6% for efficacy of vitamin C therapy; Table 3).
Posterior probabilities of efficacy for vitamin C therapy were less than 33% for all other secondary outcomes (Tables 2 and 3 and eFigures 6-7 in Supplement 1). Serious adverse events were reported in 1.8% of patients (27/1493) in the vitamin C group and 0.8% of patients (9/1098) in the control group (eTable 11 in Supplement 1). There were 4 serious adverse events possibly or probably related to vitamin C, including 1 patient with methemoglobinemia, 2 patients with hypoglycemia, and 1 patient with hemolytic anemia subsequently discovered to have glucose-6-phosphate dehydrogenase deficiency.
Sensitivity, Subgroup, and Exploratory Analyses
The sensitivity analyses of organ support–free days, hospital survival, and 28-day mortality or persistent organ dysfunction using different analysis populations were consistent with the primary analyses (eTables 12-14 in Supplement 1). The 95% CrIs were wider in the LOVIT-COVID trial compared with the REMAP-CAP trial; there was no convincing evidence of divergent effect estimates (eTable 15 in Supplement 1).
There were no differential effects among subgroups (eTable 16 in Supplement 1). The exploratory analyses showed that the in-hospital mortality rates by group in the REMAP-CAP trial shifted over time (eFigures 8a-8b in Supplement 1), with the effect of vitamin C on organ support–free days varying over successive periods defined by randomization ratio (eTable 17 in Supplement 1). The post hoc analyses of treatment effect by continent and by dominant SARS-CoV-2 strain by month in each country of enrollment did not explain this variation (eTables 18-19 in Supplement 1).
In this large, harmonized, multinational randomized clinical trial, vitamin C administered to hospitalized patients with COVID-19 did not improve organ support–free days or hospital survival. On the contrary, there were high posterior probabilities (>90% for organ support–free days and >75% for hospital survival) that vitamin C worsened both outcomes in critically ill patients and those not critically ill. These effects were consistent across predefined subgroups and in the sensitivity analyses.
The regimen of vitamin C was based on a previous trial including patients with sepsis that showed sustained elevation of serum vitamin C levels over the treatment course, in addition to lower mortality, which was a secondary outcome.19 The results from the current study, which included both a critically ill population with mainly COVID-19 respiratory failure and a population that was not critically ill, are consistent with the LOVIT trial7 that included patients with sepsis who were treated with vasopressors. Existing analyses do not elucidate the mechanisms of harm, and while future biomarker analyses from the LOVIT-COVID trial may be informative, as shown in a secondary analysis of convalescent plasma in the REMAP-CAP trial,20 the same biomarkers measured in the LOVIT trial7 were comparable between the vitamin C and placebo groups. A meta-analysis of 9 trials11 (the largest included trial randomized 100 patients) found a reduced odds of mortality in patients with COVID-19 receiving vitamin C. These divergent results may be explained by the more extreme effects observed in the small trials.21
Several methodological issues are noteworthy. First, the initial decision to limit statistical stopping triggers for efficacy, inferiority, and equivalence facilitated investigation of a small potential treatment benefit. Although the current results do not exclude the possibility of any beneficial effect of vitamin C in COVID-19, it is more likely that vitamin C is ineffective or harmful.
Second, the current study provides separate effects of vitamin C in critically ill patients and those who were not critically ill and is consistent with the study’s design. An alternative approach would have included all randomized patients and may have generated a more precise overall treatment effect, with testing for a subgroup effect. Nonetheless, the current model allowed for statistical borrowing between critically ill and noncritically ill strata, thus mitigating the loss of statistical power.
Third, the treatment effect for the primary outcome is presented in relative terms rather than as an absolute difference, which is better suited to shared decision-making. The difference of 1.5 organ support–free days22 is considered minimally important by the US Food and Drug Administration, but patients’ views are unknown.
Fourth, response-adaptive randomization in the REMAP-CAP trial, which was designed to favor assignment to the group with superior outcomes at the interim analyses, led to 69% of critically ill patients being assigned to vitamin C despite lack of efficacy in both strata. This situation arose because early results in critically ill patients favored vitamin C, without reaching a statistical trigger, with the final adaptive analysis conducted 10 months after the penultimate one due to implementation of new processes for international data flow. During this period, more than 50% of enrollment occurred, without changes to domain selection criteria or trial procedures. The final adaptive analysis reported a reversed direction of treatment effect, which was unexplained in the post hoc analyses, underscoring the early instability of treatment effect estimates in trials.23-25 Because the inferiority trigger was never reached, the REMAP-CAP trial may have continued, even if adaptive analyses had been conducted more frequently, until harm and futility triggers were introduced due to external evidence.7 Options for avoiding this situation include frequent adaptive analyses and forcing the randomization ratio to remain closer to 1:1.26,27
Strengths of this report include selection of a vitamin C regimen based on promising initial evaluations,19,28 excellent treatment adherence and follow-up, and enhanced generalizability based on enrollment in broad geographic areas.29
This trial has several limitations, some of which may potentially be addressed in future analyses. First, this report combines data from 2 trials that were designed differently in an attempt to improve efficiency and reduce waste in COVID-19 pandemic research.30
Second, fewer patients were enrolled in the placebo-controlled LOVIT-COVID trial and receipt of differential postrandomization care was possible for patients enrolled in the open-label REMAP-CAP trial.
Third, the analyses showing comparable treatment effects in these 2 trials were underpowered. Fourth, the data on individual participant vaccination status, the vitamin C product received, and the baseline vitamin C level were unavailable to inform subgroup analyses; however, a subgroup analysis by baseline vitamin C level in the LOVIT trial7 was uninformative.
In hospitalized patients with COVID-19, vitamin C had low probability of improving the primary composite outcome of organ support–free days and hospital survival.
Accepted for Publication: October 2, 2023.
Published Online: October 25, 2023. doi:10.1001/jama.2023.21407
Concept and design: Adhikari, Webb, Angus, Gordon, Cook, Guyatt, L. Berry, Lorenzi, Sprague, Huang, Heyland, McArthur, de Man, Anstey, S. Berry, Bhimani, Bonten, Brunkhorst, Cecconi, Cheng, Cohen, Derde, Estcourt, Goossens, Hills, Kanji, Khoso, Lewis, Litton, McAuley, McQuilten, Murthy, Parke, Rowan, Seymour, Shankar-Hari, Trapani, Turgeon, Udy, Lamontagne.
Acquisition, analysis, or interpretation of data: Adhikari, Hashmi, Tirupakuzhi Vijayaraghavan, Haniffa, Beane, Webb, Angus, Gordon, Cook, Guyatt, L. Berry, Lorenzi, Mouncey, Au, Pinto, Ménard, Sprague, Masse, Huang, Nichol, McArthur, Al-Beidh, Annane, Arabi, Battista, S. Berry, Bradbury, Brant, Brunkhorst, Burrell, Buxton, Cecconi, Cheng, Cove, Day, Derde, Detry, Fagbodun, Fitzgerald, Green, Higgins, Hills, Ichihara, Jayakumar, Kanji, Khoso, Lawler, Lewis, Litton, Marshall, McAuley, McGlothlin, McGuinness, McVerry, Parker, Reyes, Rowan, Saito, Salahuddin, Santos, Saunders, Seymour, Shankar-Hari, Tolppa, Turgeon, Turner, van de Veerdonk, Zarychanski, Lamontagne.
Drafting of the manuscript: Adhikari, Tirupakuzhi Vijayaraghavan, Gordon, Sprague, Huang, Heyland, Bhimani, Cecconi, McAuley, Murthy, Shankar-Hari, Lamontagne.
Critical review of the manuscript for important intellectual content: Adhikari, Hashmi, Tirupakuzhi Vijayaraghavan, Haniffa, Beane, Webb, Angus, Gordon, Cook, Guyatt, L. Berry, Lorenzi, Mouncey, Au, Pinto, Ménard, Sprague, Masse, Huang, Heyland, Nichol, McArthur, de Man, Al-Beidh, Annane, Anstey, Arabi, Battista, S. Berry, Bonten, Bradbury, Brant, Brunkhorst, Burrell, Buxton, Cecconi, Cheng, Cohen, Cove, Day, Derde, Detry, Estcourt, Fagbodun, Fitzgerald, Goossens, Green, Higgins, Hills, Ichihara, Jayakumar, Kanji, Khoso, Lawler, Lewis, Litton, Marshall, McAuley, McGlothlin, McGuinness, McQuilten, McVerry, Parke, Parker, Reyes, Rowan, Saito, Salahuddin, Santos, Saunders, Seymour, Shankar-Hari, Tolppa, Trapani, Turgeon, Turner, Udy, van de Veerdonk, Zarychanski, Lamontagne.
Statistical analysis: L. Berry, Lorenzi, Pinto, S. Berry, Day, Detry, Fitzgerald, Khoso, Lewis, McGlothlin, Saunders, Lamontagne.
Obtained funding: Adhikari, Webb, Gordon, Masse, Heyland, Nichol, McArthur, Annane, Bonten, Burrell, Buxton, Cheng, Cove, Derde, Goossens, Higgins, Hills, Ichihara, Litton, Marshall, McAuley, McGuinness, Murthy, Rowan, Saito, Shankar-Hari, Turgeon, Lamontagne.
Administrative, technical, or material support: Adhikari, Hashmi, Tirupakuzhi Vijayaraghavan, Beane, Webb, Angus, Gordon, Cook, Mouncey, Au, Pinto, Ménard, Sprague, Masse, Nichol, McArthur, de Man, Al-Beidh, Battista, Bhimani, Brant, Brunkhorst, Buxton, Cheng, Derde, Green, Higgins, Ichihara, Jayakumar, Kanji, Khoso, McAuley, McGuinness, McQuilten, Parker, Rowan, Saito, Santos, Shankar-Hari, Tolppa, Trapani, Turner, Zarychanski, Lamontagne.
Supervision: Adhikari, Angus, Gordon, Guyatt, Ménard, Nichol, Arabi, S. Berry, Burrell, Cecconi, Derde, Hills, Kanji, Khoso, Lewis, McAuley, Murthy, Reyes, Rowan, Seymour, Lamontagne.
Conflict of Interest Disclosures: Dr Haniffa reported receiving grants from Wellcome Trust, Medical Research Council Africa, and International COVID-19 Data Alliance. Dr Webb reported receiving grants from the National Health and Medical Research Council, the Minderoo Foundation, and the Medical Research Future Fund. Dr Gordon reported receiving personal fees from AstraZeneca, Janssen, Novartis, and 30 Respiratory (all fees paid to institution). Dr L. Berry reported receiving grants and being an employee of Berry Consultants. Dr Lorenzi reported being an employee of Berry Consultants. Dr Nichol reported receiving grants from the European Commission. Dr de Man reported receiving grants from the Netherlands Organisation of Health Research. Dr S. Berry reported being part owner of Berry Consultants. Dr Bradbury reported receiving personal fees from Bristol Myers Squibb, Pfizer, Bayer, Amgen, Lilly, Sobi, Sanofi, Novartis, and Janssen. Dr Cecconi reported receiving personal fees from Edwards Lifesciences, Directed Systems, and GE Healthcare. Dr Cove reported receiving grants from National University Health System; receiving personal fees from Baxter, Medtronic, B Braun, and Jafron; and holding a patent for the removal of carbon dioxide via dialysis. Dr Derde reported receiving grants from the European Commission and serving as a member of the international advisory board for Sepsis Canada. Dr Detry reported receiving grants from the European Commission and the Global Coalition for Adaptive Research and being a director and senior statistical scientist at Berry Consultants. Dr Fitzgerald reported receiving grants from the European Commission and the Global Coalition for Adaptive Research. Dr Higgins reported receiving grants from the National Health and Medical Research Council, the Minderoo Foundation, and the Medical Research Future Fund. Dr Lawler reported receiving personal fees from the American College of Cardiology and McGraw Hill. Dr Lewis reported being a senior medical scientist at Berry Consultants. Dr Marshall reported receiving personal fees from AM Pharma and Matisse. Dr McAuley reported receiving grants from Innovate UK, Northern Ireland Health and Social Care, the Medical Research Council, and Wellcome Trust; receiving personal fees from Bayer, GSK, Boehringer Ingelheim, Novartis, Eli Lilly, Vir Biotechnology, Aptarion, Aviceda, and Direct Biologics; holding a patent for an anti-inflammatory treatment (issued to Queen’s University Belfast) for a novel treatment for inflammatory disease; and being the co-director of research for the Intensive Care Society and the program director for the National Institute for Health and Care Research/Medical Research Council Efficacy and Mechanism Evaluation. Dr McGlothlin reported receiving grants from the European Commission and the Global Coalition for Adaptive Research. Dr McVerry reported receiving grants from the Pittsburgh Foundation and the National Institutes of Health and receiving personal fees from Boehringer Ingelheim, Synairgen, and BioAegis. Dr Parke reported receiving grants from Fisher and Paykel Healthcare Ltd. Dr Reyes reported receiving grants from Merck Sharp & Dohme and Pfizer and receiving personal fees from GSK. Dr Rowan reported receiving grants from the European Commission. Dr Saunders reported receiving grants from the European Commission and the Global Coalition for Adaptive Research. Dr Seymour reported receiving grants from the National Institutes of Health and personal fees from Beckman Coulter and Inotrem, Inc. Dr Shankar-Hari reported receiving grants from the Chief Scientist Office Scotland, the National Institute for Health and Care Research (Efficacy and Mechanism Evaluation and Health Technology Assessment programs), the Medical Research Council, and the Huo Foundation. Dr Udy reported nonfinancial support from Integra Lifesciences. No other disclosures were reported.
Funding/Support: The LOVIT-COVID trial was funded by the Lotte and John Hecht Memorial Foundation, which also supported the REMAP-CAP trial via a subcontract. Nova Biomedical Canada, Ltd provided glucometers, testing strips, and control solutions (StatStrip Express) to trial sites that requested them in the LOVIT-COVID trial. The vitamin C that was used by the LOVIT-COVID sites (all in Canada) was purchased from Mylan. The REMAP-CAP trial was funded by FP7-health-2013-innovation-1 grant 602525 from the Platform for European Preparedness Against Re-Emerging Epidemics Consortium of the European Union, grant 101003589 from the Rapid European COVID-19 Emergency Research Response Consortium of the European Union’s Horizon 2020 Research and Innovation Programme, grant APP1101719 from the Australian National Health and Medical Research Council, grant 16/631 from the Health Research Council of New Zealand, grant 158584 from the Canadian Institutes of Health Research Strategy for Patient-Oriented Research Innovative Clinical Trials Program, funding from the National Institute for Health and Care Research (NIHR) and the NIHR Imperial Biomedical Research Centre, grant CTN 2014-012 from the Health Research Board of Ireland, funding from the University of Pittsburgh Medical Center Learning While Doing Program, funding from the Translational Breast Cancer Research Consortium, grant PHRC-20-0147 from the French Ministry of Health, funding from the Office of Health and Medical Research NSW Health, funding from the Minderoo Foundation, grant 215522 from the Wellcome Trust Innovations Project, grants 20fk0108526h0001, 21fk0108591h0001, and 22fk0108528h0001 from the Japan Agency for Medical Research and Development, and funding from the National University Health System research office, Singapore. The sponsor for the LOVIT-COVID trial was the Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke. The REMAP-CAP trial has 4 regional nonprofit sponsors: Monash University (Melbourne, Australia), Utrecht Medical Center (Utrecht, the Netherlands), Unity Health Toronto (Toronto, Ontario, Canada), and the Global Coalition for Adaptive Research (San Francisco, California).
Role of the Funder/Sponsor: The funders/sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Group Information: The entire list of the LOVIT-COVID Investigators and the REMAP-CAP Investigators appears in Supplement 3.
Disclaimer: Dr Angus is a Senior Editor, Dr Lewis is a Statistical Editor, and Dr Seymour is an Associate Editor of JAMA but were not involved in any of the decisions regarding review of the manuscript or its acceptance.
Meeting Presentation: Presented in part at the European Society of Intensive Care Medicine; October 25, 2023; Milan, Italy.
Data Sharing Statement: See Supplement 4.
Additional Contributions: We thank the trial patients and their caregivers; the clinicians; the research, pharmacy, and laboratory staff members; and the trial and data coordinators; the National Institute for Health and Care Research Clinical Research Network, the University of Pittsburgh Medical Center Health System Health Services Division, and the Direction de la Recherche Clinique et de l’Innovation de l’AP-HP for their support of participant recruitment; the Unité de Recherche Clinique et Épidémiologique of the Centre de Recherche du CHU de Sherbrooke for providing support in the conduct of the LOVIT-COVID trial; the Canadian Critical Care Trials Group, including Bram Rochwerg, MD, MSc, for his uncompensated review of the manuscript; and the uncompensated members of the data and safety monitoring boards (LOVIT-COVID: Andreas Laupacis, MD, MSc, Lauren Griffith, PhD, and Scott Halpern, MD, PhD; REMAP-CAP: Victoria Manax, MD, Jason Connor, PhD, Alexandre Cavalcanti, MD, PhD, Simon Finfer, MBBS, DrMed, Simon Gates, PhD, Adrienne Randolph, MD, MSc, John Reynolds, PhD, and Tom van der Poll, MD, PhD).
Additional Information: This article was written with gratitude to and in memory of our friend and colleague, Wilma van Bentum-Puijk, MSc.
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