Hydroxychloroquine for treatment of non-hospitalized adults with COVID-19: A meta-analysis of individual participant data of randomized trials

COVID-19 therapeutics

SUMMARYSince the emergence of COVID-19 in 2020, an unprecedented range of therapeutic options has been studied and deployed. Healthcare providers have multiple treatment approaches to choose from, but efficacy of those approaches often remains controversial or compromised by viral evolution. Uncertainties still persist regarding the best therapies for high-risk patients, and the drug pipeline is suffering fatigue and shortage of funding. In this article, we review the antiviral activity, mechanism of action, pharmacokinetics, and safety of COVID-19 antiviral therapies. Additionally, we summarize the evidence from randomized controlled trials on efficacy and safety of the various COVID-19 antivirals and discuss unmet needs which should be addressed.

The relationship between viral clearance rates and disease progression in early symptomatic COVID-19: a systematic review and meta-regression analysis

BACKGROUND

Effective antiviral drugs accelerate viral clearance in acute COVID-19 infections; the relationship between accelerating viral clearance and reducing severe clinical outcomes is unclear.

METHODS

A systematic review was conducted of randomized controlled trials (RCTs) of antiviral therapies in early symptomatic COVID-19, where viral clearance data were available. Treatment benefit was defined clinically as the relative risk of hospitalization/death during follow-up (≥14 days), and virologically as the SARS-CoV-2 viral clearance rate ratio (VCRR). The VCRR is the ratio of viral clearance rates between the intervention and control arms. The relationship between the clinical and virological treatment effects was assessed by mixed-effects meta-regression.

RESULTS

From 57 potentially eligible RCTs, VCRRs were derived for 44 (52 384 participants); 32 had ≥1 clinical endpoint in each arm. Overall, 9.7% (R2) of the variation in clinical benefit was explained by variation in VCRRs with an estimated linear coefficient of -0.92 (95% CI: -1.99 to 0.13; P = 0.08). However, this estimate was highly sensitive to the inclusion of the recent very large PANORAMIC trial. Omitting this outlier, half the variation in clinical benefit (R2 = 50.4%) was explained by variation in VCRRs [slope -1.47 (95% CI -2.43 to -0.51); P = 0.003], i.e. higher VCRRs were associated with an increased clinical benefit.

CONCLUSION

Methods of determining viral clearance in COVID-19 studies and the relationship to clinical outcomes vary greatly. As prohibitively large sample sizes are now required to show clinical treatment benefit in antiviral therapeutic assessments, viral clearance is a reasonable surrogate endpoint.

Drivers of COVID-19 Outcomes in Long-Term Care Facilities Using Multi-Level Analysis: A Systematic Review

This study aimed to identify the individual, organizational, and environmental factors which contributed to COVID-19-related outcomes in long-term care facilities (LTCFs). A systematic review was conducted to summarize and synthesize empirical studies using a multi-level analysis approach to address the identified influential factors. Five databases were searched on 23 May 2023. To be included in the review, studies had to be published in peer-reviewed journals or as grey literature containing relevant statistical data. The Joanna Briggs Institute critical appraisal tool was employed to assess the methodological quality of each article included in this study. Of 2137 citations identified after exclusions, 99 records met the inclusion criteria. The predominant individual, organizational, and environmental factors that were most frequently found associated with the COVID-19 outbreak comprised older age, higher dependency level; lower staffing levels and lower star and subset domain ratings for the facility; and occupancy metrics and co-occurrences of outbreaks in counties and communities where the LTCFs were located, respectively. The primary individual, organizational, and environmental factors frequently linked to COVID-19-related deaths comprised age, and male sex; higher percentages of racial and ethnic minorities in LTCFs, as well as ownership types (including private, for-profit, and chain membership); and higher occupancy metrics and LTCF's size and bed capacity, respectively. Unfolding the risk factors collectively may mitigate the risk of outbreaks and pandemic-related mortality in LTCFs during future endemic and pandemics through developing and improving interventions that address those significant factors.

Neurotoxic effects of chloroquine and its main transformation product formed after chlorination

Pharmaceutical transformation products (TPs) generated during wastewater treatment have become an environmental concern. However, there is limited understanding regarding the TPs produced from pharmaceuticals during wastewater treatment. In this study, chloroquine (CQ), which was extensively used for treating coronavirus disease-19 (COVID-19) infections during the pandemic, was selected for research. We identified and fractionated the main TP produced from CQ during chlorine disinfection and investigated the neurotoxic effects of CQ and its main TP on zebrafish (Danio rerio) embryos. Halogenated TP353 was observed as one of the main TPs produced from CQ during chlorine disinfection. Zebrafish embryos test revealed that TP353 caused higher neurotoxicity in zebrafish larvae, as compared to the CQ, and that was accompanied by significantly decreased expression levels of the genes related to central nervous system development (e.g., gfap, syn2a, and elavl3), inhibited activity of acetylcholinesterase (AChE), reduced GFP fluorescence intensity of motor neuron axons in transgenic larvae (hb9-GFP), and reduced total swimming distance and swimming velocity of larvae during light-dark transition stimulation. The results of this study can potentially be utilized as a theoretical reference for future evaluations of environmental risks associated with CQ and its related TPs. This work presents a methodology for assessing the environmental hazards linked to the discharge of pharmaceutical TPs after wastewater treatment.

Outpatient randomized controlled trials to reduce COVID-19 hospitalization: Systematic review and meta-analysis

This COVID-19 outpatient randomized controlled trials (RCTs) systematic review compares hospitalization outcomes amongst four treatment classes over pandemic period, geography, variants, and vaccine status. Outpatient RCTs with hospitalization endpoint were identified in Pubmed searches through May 2023, excluding RCTs <30 participants (PROSPERO-CRD42022369181). Risk of bias was extracted from COVID-19-NMA, with odds ratio utilized for pooled comparison. Searches identified 281 studies with 61 published RCTs for 33 diverse interventions analyzed. RCTs were largely unvaccinated cohorts with at least one COVID-19 hospitalization risk factor. Grouping by class, monoclonal antibodies (mAbs) (OR = 0.31 [95% CI = 0.24-0.40]) had highest hospital reduction efficacy, followed by COVID-19 convalescent plasma (CCP) (OR = 0.69 [95% CI = 0.53-0.90]), small molecule antivirals (OR = 0.78 [95% CI = 0.48-1.33]), and repurposed drugs (OR = 0.82 [95% CI: 0.72-0.93]). Earlier in disease onset interventions performed better than later. This meta-analysis allows approximate head-to-head comparisons of diverse outpatient interventions. Omicron sublineages (XBB and BQ.1.1) are resistant to mAbs Despite trial heterogeneity, this pooled comparison by intervention class indicated oral antivirals are the preferred outpatient treatment where available, but intravenous interventions from convalescent plasma to remdesivir are also effective and necessary in constrained medical resource settings or for acute and chronic COVID-19 in the immunocompromised.

One Week of Oral Camostat Versus Placebo in Nonhospitalized Adults With Mild-to-Moderate Coronavirus Disease 2019: A Randomized Controlled Phase 2 Trial

BACKGROUND

Camostat inhibits severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in vitro. We studied the safety and efficacy of camostat in ACTIV-2/A5401, a phase 2/3 platform trial of therapeutics for COVID-19 in nonhospitalized adults.

METHODS

We conducted a phase 2 study in adults with mild-to-moderate COVID-19 randomized to oral camostat for 7 days or a pooled placebo arm. Primary outcomes were time to improvement in COVID-19 symptoms through day 28, proportion of participants with SARS-CoV-2 RNA below the lower limit of quantification (LLoQ) from nasopharyngeal swabs through day 14, and grade ≥3 treatment-emergent adverse events (TEAEs) through day 28.

RESULTS

Of 216 participants (109 randomized to camostat, 107 to placebo) who initiated study intervention, 45% reported ≤5 days of symptoms at study entry and 26% met the protocol definition of higher risk of progression to severe COVID-19. Median age was 37 years. Median time to symptom improvement was 9 days in both arms (P = .99). There were no significant differences in the proportion of participants with SARS-CoV-2 RNA

CONCLUSIONS

In a phase 2 study of nonhospitalized adults with mild-to-moderate COVID-19, oral camostat did not accelerate viral clearance or time to symptom improvement, or reduce hospitalizations or deaths. Clinical Trials Registration. ClinicalTrials.gov identifier: NCT04518410.

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Key Words

• COVID-19
• SARS-CoV-2
• camostat
• outpatient
• phase 2

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MESH Headings

• Humans
• Adult
• COVID-19
• SARS-CoV-2
• RNA, Viral
• Time Factors
• Treatment Outcome

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Grants

• UM1 AI069423 NIAID NIH HHS
• UM1 AI069424 NIAID NIH HHS
• UM1 AI069432 NIAID NIH HHS
• UL1 TR000124 NCATS NIH HHS
• UM1 AI068634 NIAID NIH HHS
• UM1 AI069481 NIAID NIH HHS
• U01 AI068636 NIAID NIH HHS
• UL1 TR001881 NCATS NIH HHS
• UM1 AI068636 NIAID NIH HHS
• UM1AI068636 NIH HHS
• UM1 AI106701 NIAID NIH HHS
• K08 AI155173 NIAID NIH HHS
• P30 AI060354 NIAID NIH HHS
• National Institute of Allergy and Infectious Diseases
• National Institutes of Health

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Affiliation(s)

Nikolaus Jilg Department of Medicine, Massachusetts General Hospital and Department of Medicine, Brigham Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
Kara W Chew Department of Medicine, University of California, Los Angeles, California, USA
Mark J Giganti Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
Eric S Daar Department of Medicine, University of California Los Angeles Center, Torrance, California, USA
David A Wohl Department of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
Arzhang Cyrus Javan Division of AIDS, National Institutes of Health, Rockville, Maryland, USA
Amy Kantor Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
Carlee Moser Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
Robert W Coombs Department of Medicine, University of Washington, Seattle, Washington, USA
Gene Neytman Quantum Clinical Trials, Miami Beach, Florida, USA
Keila Hoover Miami Clinical Research, Miami, Florida, USA
Atasi Jana Sagent Pharmaceuticals, Schaumburg, Illinois, USA
Phil A Hart Department of Medicine, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
Alexander L Greninger Department of Medicine, University of Washington, Seattle, Washington, USA
Bob Szurgot Sagent Pharmaceuticals, Schaumburg, Illinois, USA
Joseph J Eron Department of Medicine, University of North Carolina, Chapel Hill, North Carolina, USA
Judith S Currier Department of Medicine, University of Los Angeles, Los Angeles, California, USA
Michael D Hughes Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
Davey M Smith Department of Medicine, University of California, San Diego, San Diego, California, USA
Jonathan Z Li Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA

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