Statistical Challenges When Analyzing SARS-CoV-2 RNA Measurements Below the Assay Limit of Quantification in COVID-19 Clinical Trials

© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissionsoup.com..

Most clinical trials evaluating coronavirus disease 2019 (COVID-19) therapeutics include assessments of antiviral activity. In recently completed outpatient trials, changes in nasal severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA levels from baseline were commonly assessed using analysis of covariance (ANCOVA) or mixed models for repeated measures (MMRM) with single imputation for results below assay lower limits of quantification (LLoQ). Analyzing changes in viral RNA levels with singly imputed values can lead to biased estimates of treatment effects. In this article, using an illustrative example from the ACTIV-2 trial, we highlight potential pitfalls of imputation when using ANCOVA or MMRM methods, and illustrate how these methods can be used when considering values <LLoQ as censored measurements. Best practices when analyzing quantitative viral RNA data should include details about the assay and its LLoQ, completeness summaries of viral RNA data, and outcomes among participants with baseline viral RNA ≥ LLoQ, as well as those with viral RNA < LLoQ. Clinical Trials Registration. NCT04518410.

Errataetall:

UpdateOf: medRxiv. 2023 Mar 17;:. - PMID 36993419

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:228

Enthalten in:

The Journal of infectious diseases - 228(2023), Suppl 2 vom: 31. Aug., Seite S101-S110

Sprache:

Englisch

Beteiligte Personen:

Moser, Carlee B [VerfasserIn]
Chew, Kara W [VerfasserIn]
Giganti, Mark J [VerfasserIn]
Li, Jonathan Z [VerfasserIn]
Aga, Evgenia [VerfasserIn]
Ritz, Justin [VerfasserIn]
Greninger, Alexander L [VerfasserIn]
Javan, Arzhang Cyrus [VerfasserIn]
Bender Ignacio, Rachel [VerfasserIn]
Daar, Eric S [VerfasserIn]
Wohl, David A [VerfasserIn]
Currier, Judith S [VerfasserIn]
Eron, Joseph J [VerfasserIn]
Smith, Davey M [VerfasserIn]
Hughes, Michael D [VerfasserIn]
ACTIV-2/A5401 Study Team [VerfasserIn]
Hosey, Lara [Sonstige Person]
Roa, Jhoanna [Sonstige Person]
Patel, Nilam [Sonstige Person]
Aldrovandi, Grace [Sonstige Person]
Murtaugh, William [Sonstige Person]
Science, Frontier [Sonstige Person]
Cooper, Marlene [Sonstige Person]
Gutzman, Howard [Sonstige Person]
Knowles, Kevin [Sonstige Person]
Bosch, Ronald [Sonstige Person]
Harrison, Linda [Sonstige Person]
Erhardt, Bill [Sonstige Person]
Adams, Stacey [Sonstige Person]

Links:

Volltext

Themen:

Antiviral Agents
COVID-19
Clinical Trial
Journal Article
Linear regression for censored data
RNA, Viral
Randomized trial
Research Support, N.I.H., Extramural
SARS-CoV-2 RNA

Anmerkungen:

Date Completed 01.09.2023

Date Revised 22.09.2023

published: Print

ClinicalTrials.gov: NCT04518410

UpdateOf: medRxiv. 2023 Mar 17;:. - PMID 36993419

Citation Status MEDLINE

doi:

10.1093/infdis/jiad285

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM361480954