Continuous quality evaluation of the Asanté rapid test for recent infection for robust kit lot quality verification.


Journal

PLOS global public health
ISSN: 2767-3375
Titre abrégé: PLOS Glob Public Health
Pays: United States
ID NLM: 9918283779606676

Informations de publication

Date de publication:
2024
Historique:
received: 08 12 2023
accepted: 16 04 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 14 5 2024
Statut: epublish

Résumé

The Sedia Biosciences Asanté rapid test for recent infection (RTRI) can identify HIV infections and characterize HIV-1 as recent or long-term infection via the positive verification (V) line and long-term line (LT) line, respectively. Tracking with Recency Assays to Control the Epidemic (TRACE) program uses RTRI assays. Successful implementation of TRACE requires high-quality test performance. The goal of this study is to evaluate the additional quality practices established for new kit lots prior to field use. Asanté lot quality control data from the manufacturer is reviewed by the Centers for Disease Control and Prevention International Laboratory Branch (CDC-ILB) in the Division of Global HIV and TB using. If a lot passes manufacturer quality control and CDC-ILB review, test kits are sent to CDC-ILB for further evaluation. Evaluation by CDC includes inter-rater reliability and linear regressions comparing the V and LT lines against reference data as well as V and LT line data between testers. A Bland-Altman analysis was conducted to assess bias and systematic error. Overall, CDC-ILB passed 29 (91%) out of 32 Sedia Biosciences Asanté kit lots that initially passed manufacturing quality control from July 2017 to May 2020. Regression analyses demonstrate that test kits are performing as expected with consistent R2≥0.92 for both V and LT lines. On average, inter-rater reliability kappa was 0.9, indicating a strong level of agreement. Bland-Altman analyses demonstrate high agreement with little to no systematic error and bias. Ongoing evaluation of new RTRI kit lots is important to ensure high quality test performance. Rejecting 9% of kit lots highlight the importance of continuing to work with manufacturers to ensure consistent kit production and quality assurance (QA) activities. Investing in effective QA measures, conducting both pre- and post-market performance data reviews, could help improve RTRI accuracy and outcomes in similar testing programs.

Identifiants

pubmed: 38743714
doi: 10.1371/journal.pgph.0003195
pii: PGPH-D-23-02440
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e0003195

Informations de copyright

Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Déclaration de conflit d'intérêts

I have read the journal’s policy and the authors have the following competing interests. As an inventor of rapid test for recent infection, BSP receives a portion of royalties from the sale of Asante Rapid Recency Assay as per policy of the U.S. Government. The assay is manufactured by Sedia BioSciences under a technology transfer licensing agreement with CDC. This does not compromise author’s obligation to ensure accuracy and integrity of the data presented in this manuscript.

Auteurs

Amy Zheng (A)

Public Health Institute/Centers for Disease Control Global Health Fellowship Program, Oakland, California, United States of America.
Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Mervi Detorio (M)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Trudy Dobbs (T)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Vedapuri Shanmugam (V)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Xiaojuan Tan (X)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Jeni Vuong (J)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Robert A Domaoal (RA)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Kemba Lee (K)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

LaTasha Williams (L)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Keisha Jackson (K)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Bharat Parekh (B)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Ernest L Yufenyuy (EL)

Division of Global HIV & Tuberculosis, Global Health Center, Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.

Classifications MeSH