Performance evaluation of the NeuMoDx™ EBV Quant Assay 2.0 in Comparison with cobas® EBV for epstein-barr virus DNA quantification in immunocompromised patients, a multicenter study

The NeuMoDx™ EBV Quant Assay 2.0 is an automated test for measuring Epstein-Barr virus (EBV) DNA in plasma samples from immunocompromised transplant patients. This multicenter study aimed to compare the assay's performance with the cobas® EBV test, a widely accepted method for EBV quantification. The study was conducted at five clinical sites across the USA and Europe. A total of 999 samples were analyzed, including both fresh and frozen plasma from immunocompromised transplant patients, as well as contrived samples to cover the full assay dynamic range. The results demonstrated acceptable concordance between the NeuMoDx™ EBV Quant Assay and the cobas® test. Qualitatively, the NeuMoDx™ assay demonstrated a Positive Percent Agreement (PPA) of 95.3 % and a Negative Percent Agreement (NPA) of 95.1 % within the linear range of the assay. Overall, slope regression comparing the two assays was >0.90, but increased variability was observed at the upper and lower limits of the assay's dynamic range. These findings support its use for monitoring EBV in transplant patients, reinforcing the assay's value in clinical diagnostics. The study is registered on clinicaltrials.gov - NCT06681025.

Authors

Institutions

Publication Details

Journal
Diagnostic Microbiology and Infectious Disease
Published
2025-06-19
DOI
https://doi.org/10.1016/j.diagmicrobio.2025.116956
Primary Topic
Viral-associated cancers and disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Performance evaluation of the NeuMoDx™ EBV Quant Assay 2.0 in Comparison with cobas® EBV for epstein-barr virus DNA quantification in immunocompromised patients, a multicenter study

Heba H. Mostafa, Victoria Doseeva, Peter Findeisen, Daniel D. Rhoads et al.
Diagnostic Microbiology and Infectious Disease
Viral-associated cancers and disorders
article

Performance evaluation of the NeuMoDx™ EBV Quant Assay 2.0 in Comparison with cobas® EBV for epstein-barr virus DNA quantification in immunocompromised patients, a multicenter study

Heba H. Mostafa, Victoria Doseeva, Peter Findeisen, Daniel D. Rhoads, Ryan F. Relich, Ulrich Eigner, Alistair English, Sarah Johnson, Omai B. Garner
article en

Abstract

The NeuMoDx™ EBV Quant Assay 2.0 is an automated test for measuring Epstein-Barr virus (EBV) DNA in plasma samples from immunocompromised transplant patients. This multicenter study aimed to compare the assay's performance with the cobas® EBV test, a widely accepted method for EBV quantification. The study was conducted at five clinical sites across the USA and Europe. A total of 999 samples were analyzed, including both fresh and frozen plasma from immunocompromised transplant patients, as well as contrived samples to cover the full assay dynamic range. The results demonstrated acceptable concordance between the NeuMoDx™ EBV Quant Assay and the cobas® test. Qualitatively, the NeuMoDx™ assay demonstrated a Positive Percent Agreement (PPA) of 95.3 % and a Negative Percent Agreement (NPA) of 95.1 % within the linear range of the assay. Overall, slope regression comparing the two assays was >0.90, but increased variability was observed at the upper and lower limits of the assay's dynamic range. These findings support its use for monitoring EBV in transplant patients, reinforcing the assay's value in clinical diagnostics. The study is registered on clinicaltrials.gov - NCT06681025.

Diagnostic Microbiology and Infectious DiseaseVol. 113(3)
Johns Hopkins University (US), University of California, Los Angeles (US), Johns Hopkins Medicine (US), Cleveland Clinic Lerner College of Medicine (US), Akademie für Gesundheitsberufe (DE), Qiagen (United Kingdom) (GB), Senseonics (United States) (US), Zalgen (United States) (US), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Good health and well-being
Openalex Percentile: Top 78%
Viral-associated cancers and disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.