Literature DB >> 32791382

Multicenter evaluation of the NeuMoDx™ SARS-CoV-2 Test.

Heba H Mostafa1, Daryl M Lamson2, Katharine Uhteg3, Melissa Geahr3, Linda Gluck3, Jessica N Brazelton de Cárdenas4, Elizabeth Morehead3, Michael Forman3, Karen C Carroll3, Randall T Hayden5, Kirsten St George6.   

Abstract

The SARS-CoV-2 virus has caused millioene">ns of coene">nfirmed n class="Disease">COVID-19 cases worldwide and hundreds of thousands of deaths in less than 6 months. Mitigation measures including social distancing were implemented to control disease spread, however, thousands of new cases continue to be diagnosed daily. To resume some suspended social activities, early diagnosis and contact tracing are essential. To meet this required diagnostic and screening capacity, high throughput diagnostic assays are needed. The NeuMoDx™ SARS-CoV-2 assay, performed on a NeuMoDx molecular system, is a rapid, fully automated, qualitative real-time RT-PCR diagnostic test with throughput of up to 288 tests in an 8 -h shift. The assay received emergency use authorization from the FDA and is used in some large testing centers in the US. This paper describes the analytical and clinical performance of the assay at three centers: Johns Hopkins Hospital, St. Jude Children's Research Hospital, and the Wadsworth Center.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  COVID-19; NeuMoDx; SARS-CoV-2

Mesh:

Substances:

Year:  2020        PMID: 32791382      PMCID: PMC7413157          DOI: 10.1016/j.jcv.2020.104583

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


Introduction

SARS-CoV-2 is a novel n class="Species">Betacoronavirus that emerged in Wuhan, China in December 2019. The virus has been associated with a wide spectrum of disease severity, from mild to critical with high mortality [[1], [2], [3]]. The virus was first isolated from bronchoalveolar lavage specimens from three patients with pneumonia and its genome was characterized by whole genome sequencing [4]. The full genome was deposited to public access databases early in January 2020, which facilitated the rapid development of diagnostic molecular assays. As the laboratory testing capacity in the US increased dramatically in late February and during March 2020, thousands of cases were diagnosed daily, defining the extent of the outbreak and confirming large-scale community spread. Molecular diagnosis of SARS-CoV-2 remains the gold standard for diagnosing COVID-19 and is invaluable for infection control. These assays target various genes that include the nucleocapsid (N), envelope (E), spike (S), and RNA dependent RNA polymerase (RdRp) genes. The general recommendation is to target at least two genes to enhance the sensitivity and specificity of detection [5]. In general, the analytical sensitivity of commercially available molecular methods has been shown to be comparable [[5], [6], [7], [8], [9]]. Different nucleic acid extraction methods and varying levels of automation have also been employed and paired with molecular detection methods, providing alternative approaches for SARS-CoV-2 diagene">nosis with the choices aene">nd combiene">natioene">ns determiene">niene">ng assay complexity aene">nd turene">n-arouene">nd time. Closed, fully automated systems that received Emergeene">ncy Use Authorizatioene">n (EUA) for n class="Species">SARS-CoV-2 assays include the Roche Cobas [[10], [11], [12], [13], [14], [15]], the Hologic Panther Fusion and Aptima [9,10,14,[16], [17], [18]], the Abbott [[19], [20], [21]], and the NeuMoDx. The NeuMoDx SARS-CoV-2 assay (NeuMoDx™ Molecular, Ann Arbor, Michigan) is a fully automated, rapid real-time RT-PCR that detects two conserved regions of the non-structural protein (Nsp) 2 and N genes. The NeuMoDx systems are random-access platforms that integrate nucleic acid extraction, target amplification, detection and reporting of results [22,23]. There are currently no reports that evaluated the performance of the NeuMoDx SARS-CoV-2 assay. In this study, we describe an evaluation of the performance characteristics of the NeuMoDx SARS-CoV-2 test in three laboratories that validated the assay for clinical use.

Materials and methods

Specimens

The study protocol was reviewed and/ or approved by local institutional/ethical review boards at each site. Clinical specimens referred for SARS-CoV-2 testiene">ng were diagene">nosed by the staene">ndard of care (n class="Gene">SOC) test at each site (Table 1 ), those sites included Johns Hopkins Hospital, St. Jude Children’s Research Hospital, and the Wadsworth Center, New York State Department of Health. Site specific specimen transport media and preanalytical procedures are provided in Table 2 . Specimens were collected between March 1st and April 15th, 2020. Specimen types were nasopharyngeal swabs collected in viral transport media. Residual portions of 212 diagnostic specimens were tested with the NeuMoDx SARS-CoV-2 assay.
Table 1

Comparator reverse transcription-PCR methods for SARS-CoV-2 detection used in this study.

SiteTest nameRegulatory approval statusTargetgenesSpecimen typesReference
Wadsworth CenterNew York SARS-CoV-2 Real-time Reverse Transcriptase (RT)- PCR Diagnostic PanelFDA EUAN (N1, N2)NPShttps://www.fda.gov/media/135847/download
Johns Hopkins HospitalandSt. Jude Children’s Research HospitalRealStar® SARS-CoV-2 RT-PCR Kit 1.0 (Altona Diagnostics, Hamburg, Germany)FDA EUAS, ENPShttps://www.fda.gov/media/137252/download

N Nucleocapsid gene. S Spike gene. E Envelope gene. NPS Nasopharyngeal swabs. EUA Emergency Use Authorization.

Table 2

Site-specific specimen types, collection, transport, and pre-analytical procedures.

SiteSpecimen sourcesTransport mediumSpecimen processing for SOC testingSpecimen storageSpecimen processing for NeuMoDx testing
Wadsworth CenterNPSViral transport medium110 μL of NPS were extracted by NUCLISENS® easyMAG®or EMAG and eluted in 110 μLAfter collection, specimens are stored and shipped at 4°Residual portions of specimens are stored at -70°300 μL of each specimen is treated with 300 μL of viral lysis buffer. NeuMoDx module used is for pretreated specimens
Johns Hopkins HospitalNPSViral transport medium500 μL of NPS were extracted by NUCLISENS® easyMAG®or EMAG and eluted in 50 μLAfter collection, specimen are stored at 4°. Residual portions of specimens are stored at -70500 μL of each specimen is treated with 500 μL of the the viral lysis buffer. NeuMoDx module used is for pretreated specimens
St. Jude Children’s Research HospitalNPSViral transport medium200 μL NPS were extracted by NUCLISENS® easyMAG® and eluted in 50 μLAfter collection, specimen are stored at 4°. Residual portions of specimens are stored at -70°300 μL of each specimen is treated with 300 μL of viral lysis buffer. NeuMoDx module used is for pretreated specimens

NPS Nasopharyngeal swab.

Comparator reverse transcription-PCR methods for SARS-CoV-2 detectioene">n used in this study. N n class="Gene">Nucleocapsid gene. S Spike gene. E Envelope gene. NPS Nasopharyngeal swabs. EUA Emergency Use Authorization. Site-specific specimen types, collection, transport, and pre-analytical procedures. NPS n class="Gene">Nasopharyngeal swab.

Laboratory methods

SARS-CoV-2 testiene">ng was performed iene">n real time usiene">ng a site-specific n class="Gene">SOC method prior to testing with the NeuMoDx SARS-CoV-2 test at each site. Notably, both Wadsworth Center and Johns Hopkins Hospital laboratories used the NeuMoDx 288 system, however St. Jude Children’s Research Hospital laboratory used the NeuMoDx 96 molecular platform, which has essentially half the throughput capacity of the former. SOC methods and specimen storage conditions are described in Table 2.

Results

Analytical evaluation

At Wadsworth, pooled SARS-CoV-2 negative n class="Gene">NPS specimens were spiked with 10 fold serial dilutions of a SARS-CoV-2 previously positive specimen and each dilution was tested in triplicate. Side by side comparisons were run between the NeuMoDx assay and the CDC panel assay (https://www.fda.gov/media/134922/download) in one experiment (Table 3a ), and between the NeuMoDx, CDC, and New York SARS-CoV-2 real-time assay in a second experiment (Table 3b ). Results showed the NeuMoDx assay to have an analytical sensitivity as good as, or better than, either of these two assays.
Table 3a

Analytical sensitivity of the NeuMoDx assay: comparison with the CDC assay.

Sample dilutionNeuMoDx
CDC assay
NNsp2SPC2N1N2RP
1:1022.823.7ND26.125.827.1
22.923.8ND26.225.826.9
22.923.8ND2625.9427
1:1E226.427.225.529.629.226.8
26.527.325.629.429.426.8
26.337.325.629.329.226.7
1:1E329.329.826.832.632.526.6
29.429.927.332.332.426.4
29.129.526.632.732.826.7
1:1E430.730.926.835.635.526.5
31.131.227.525.736.826.6
3131.227.23835.826.4
1:1E5NDND27ND39.326.4
32.4ND27.6NDND26.5
NDND27.6NDND26.4
1:1E6NDND27.7NDND25.8
NDND27.4NDND26.4
NDND27.5NDND26.3

*ND target not detected. N Nucleocapsid gene. Nsp2 Non-structural protein 2. SPC2 Sample Process Control. RP RNase P gene control.

Table 3b

Analytical sensitivity of the NeuMoDx assay: comparison with the CDC and NY assays.

Sample dilutionNeuMoDx
CDC assay
NY assay
NNsp2SPC2N1N2RPN1N2RP
1:1023.123.7ND26.225.627.225.525.728.2
22.622.7ND25.92527.2252527.8
2322.9ND25.5252724.724.727.9
1:1E226.326.6ND29.328.62728.328.828
26.726.8ND29.328.52728.429.128
27.727.4ND29.428.825.728.628.627.8
1:1E330.130.228.132.431.92731.13228
29.229.626.930.230.226.829.730.227.8
29.730.127.632.83226.531.532.128.1
1:1E431.931.928.337.435.426.9ND35.227.9
32.332.227.934.636.226.936.13727.9
32.332.228ND35.126.434.136.827.7
1:1E53333.127.9NDND27NDND27.7
ND3328.9ND37.627.1NDND27.8
32.332.227.6ND38.426.636.1ND27.7
1:1E6NDND27.6NDND26.837.2ND27.9
NDND29.1ND37.527ND37.728
NDND28.2NDND26.9NDND28.3

*ND target not detected. N Nucleocapsid gene. Nsp2 Non-structural protein 2. SPC2 Sample Process Control. RP RNase P gene control.

Analytical sensitivity of the NeuMoDx assay: comparisoene">n with the CDC assay. *ND target not detected. n class="Gene">N Nucleocapsid gene. Nsp2 Non-structural protein 2. SPC2 Sample Process Control. RP RNase P gene control. Analytical sensitivity of the NeuMoDx assay: comparisoene">n with the CDC and NY assays. *ND target not detected. n class="Gene">N Nucleocapsid gene. Nsp2 Non-structural protein 2. SPC2 Sample Process Control. RP RNase P gene control. At Johns Hopkins Hospital, a positive SARS-CoV-2 cliene">nical specimeene">n was serially diluted aene">nd two dilutioene">ns were quaene">ntified by the EUA approved Bion class="Gene">Rad ddPCR assay following the EUA package insert (https://www.fda.gov/media/137579/download) in triplicate in each tested dilution (Table 4 ). Each dilution was tested by the NeuMoDx assay in replicates to verify the lower limit of detection of the assay (Table 4). The data showed that the assay can detect 100 % of the replicates at 1267 copies/ mL (N1) and 1392 copies/ mL (N2). Table 5 shows the reproducibility of the assay within and between 3 different runs at the lower limit of detection dilution.
Table 4

Analytical sensitivity of the NeuMoDx SARS-CoV-2 assay.

Average copies as determined by ddPCR
NeuMoDx average Ct value
N1N2Specimen dilutionNumber testedNumber detected% detectedNNsp2
1:1E26610020.420.8
1:1E365(1 invalid)10024.124.6
1:1E46610027.627.9
10,95610,7591:1E58810029.529.7
1,2671,3921:1E6252510034.735.2
1:1E725166435.336.0
Table 5

Reproducibility of the NeuMoDx SARS-CoV-2 assay.

Run 1
Run 2
Run 3
Number of replicatesNCt (st dev)Nsp2 Ct (st dev)Number of replicatesNCt (st dev)Nsp2 Ct (st dev)Number of replicatesNCt (st dev)Nsp2 Ct (st dev)
734.935.3635.335.9735.235.8
St dev(0.5)(0.6)(0.6)(0.9)(0.6)(0.8)

St dev: standard deviation.

Analytical sensitivity of the NeuMoDx n class="Species">SARS-CoV-2 assay. Reproducibility of the NeuMoDx n class="Species">SARS-CoV-2 assay. St dev: standard deviation. St. Jude Children’s Research Hospital used the Exact Diagene">nostics staene">ndard (http://www.exactdiagene">nostics.com/n class="Species">sars-cov-2-standard.html) to verify the lower limit of detection of the assay. The data showed that the limit of detection using this material is less than 200 copies/ mL (Table 6 ).
Table 6

Analytical sensitivity of the NeuMoDx SARS-CoV-2 assay using Exact SARS-CoV-2 Standard.

NeuMoDx average Ct value
Exact standard dilution in copies/ mLNumber testedNumber detected% detectedNNsp2
20,0007710028.729.5
2,0007710031.732.1
400202010032.332.2
200252510035.336.1
Analytical sensitivity of the NeuMoDx n class="Species">SARS-CoV-2 assay using Exact SARS-CoV-2 Standard.

Clinical performance

The NeuMoDx n class="Species">SARS-CoV-2 clinical performance evaluation was performed on a total of 212 patient specimens across the three sites and the results were compared to the SOC test at each site. Specimens included 106 SARS-CoV-2-positive and 106 negative samples, all nasopharyngeal swabs. Compared to all SOC methods combiene">ned, the positive agreemeene">nt of the n class="Gene">NeuMoDx SARS-CoV-2 test was 105/106 (99 %) and the negative agreement was 97/106 (91.5 %) (Table 7 ). The only discordant positive result had one gene target detected by the RealStar® SARS-CoV-2 RT-PCR Kit 1.0 (E gene, Ct = 36.38) which is considered presumptive positive. A discrepancy analysis of 6 of the 9 discordant negative specimens (3 had insufficient volume for repeat testing) using a third assay (the CDC SARS-CoV-2 panel) revealed that all were positive by the CDC assay (Table 8 ), indicating a negative agreement of ≥ 97 % and better sensitivity of the NeuMoDx SARS-CoV-2 assay than the RealStar® SARS-CoV-2 as well as comparable sensitivity to the CDC panel assay confirming our analytical performance evaluation.
Table 7

Clinical specimens’ agreement of NeuMoDx SARS-CoV-2 test and comparator RT-PCR tests.

NeuMoDx No./Comparator No.
Comparator (targets)Pos/PosPos/NegNeg/PosNeg/Neg
All methods1059197
St. JudeAltona (S, E)9010
HopkinsAltona (S, E)819092
Wadsworth Center (N1, N2)15005
Table 8

Discrepancy analysis of specimens negative by the SOC and positive by the NeuMoDx™ SARS-CoV-2 assay.

RealStar® SARS-CoV-2 RT-PCR Kit 1.0
NeuMoDx™ SARS-CoV-2
SARS-CoV-2 CDC Diagnostic Panel assay
E geneS geneN geneNsp2N1N2
NDND29.930.133.233.9
NDND31.331.134.337.4
NDNDND32.135.638.8
NDND30.9313436.4
NDND30.930.833.935.6
NDND32.8ND34.636.9

*ND target not detected.

Clinical specimens’ agreement of NeuMoDx n class="Species">SARS-CoV-2 test and comparator RT-PCR tests. Discrepancy analysis of specimens negative by the SOC aene">nd positive by the n class="Gene">NeuMoDx™ SARS-CoV-2 assay. *ND target not detected.

Discussion

The selection decision to implement an automated molecular detection system is complex, requiring consideration of initial cost, supply chain of reagents, maintenance costs, physical size, throughput capacity, hands-on time, complexity of operation, and reported performance in the literature or other sources. On-site evaluations are essential to confirm satisfactory performance. The COVID-19 paene">ndemic has brought uene">nprecedeene">nted pressure oene">n cliene">nical testiene">ng facilities to iene">nstall aene">nd implemeene">nt testiene">ng oene">n large scale automated equipmeene">nt, iene">n order to accommodate testiene">ng volumes not seeene">n iene">n aene">ny previous outbreak. Laboratories have iene">ncreasiene">ngly relied oene">n reports from other facilities’ experieene">nces with tests aene">nd iene">nstrumeene">nts, to assist with iene">nterene">nal decisioene">ns. In this collaborative effort, we sought to compare the experiences with one large molecular analyzer, the NeuMoDx, across three diverse testiene">ng sites. Differeene">nt methods were performed to assess the aene">nalytical performaene">nce iene">n the three sites which showed equivaleene">nt or better aene">nalytical seene">nsitivity if compared to the CDC paene">nel assay, aene">nd a lower limit of detectioene">n that was differeene">nt wheene">n differeene">nt materials were used. Usiene">ng a cliene">nical specimeene">n quaene">ntified by ddPCR compared to the Exact quaene">ntified staene">ndard resulted iene">n about oene">ne log higher calculated limit of detectioene">n, however, the average Ct values at the LOD were comparable iene">n both cases (Table 4, Table 6). The cliene">nical performaene">nce of the n class="Gene">NeuMoDx SARS-CoV-2 test was superior to the SOC testing where the assay was capable of diagnosing 9 false negatives, 6 of them were confirmed by a third assay. Overall, the data indicate that the analytical and clinical performance of the NeuMoDx SARS-CoV-2 test, meets or exceeds that of other assays used at each study site. In addition, implementing testing on the automated NeuMoDx platform resulted in significant reductions in labor and turn-around time as well as an increase in throughput capacity as noted by the impact of the assay on the Johns Hopkins turn-around time (Fig. 1 ). This was largely due to using a fully automated assay with minimal hands on time to gradually replace a manual assay that required an extraction step, followed by manual PCR, analysis, and reporting of the results.
Fig. 1

Effect of NeuMoDx on COVID-19 testing workflow and Turn-around time at Johns Hopkins Hospital. Turn-around time was calculated from specimen collection to reporting of results.

Effect of NeuMoDx oene">n n class="Disease">COVID-19 testing workflow and Turn-around time at Johns Hopkins Hospital. Turn-around time was calculated from specimen collection to reporting of results. As the next phase in the control of the COVID-19 paene">ndemic requires large scale diagene">nostic capacity aene">nd asymptomatic screeene">niene">ng with coene">ntact traciene">ng, high throughput testiene">ng has become a critical need. Differeene">nt methodologies are uene">nder developmeene">nt iene">ncludiene">ng highly multiplexed next geene">neratioene">n sequeene">nciene">ng, of which, the Illumiene">na COVIDSeq test was the first to receive aene">n EUA by the FDA. Although these methods may offer the required scalability aene">nd reduced cost compared to PCR-based methods, pre-aene">nalytical specimeene">n preparatioene">n aene">nd extractioene">n are still required aene">nd post-aene">nalytical data aene">nalysis aene">nd results reportiene">ng require exteene">nsive validatioene">n. Closed, fully automated systems offer the required scalability aene">nd automatioene">n, however, supply chaiene">n has beeene">n aene">n issue, limitiene">ng their large-scale implemeene">ntatioene">n. Differeene">nt closed high throughput PCR platforms are available for n class="Species">SARS-CoV-2 testing which include the Roche COBAS [24], and Hologic systems (Panther Fusion and Aptima) [9,25]. The NeuMoDx system’s major advantage is combining a continuously loaded instrument feature with a shorter run time (first result in 70 min). The assay is also capable of generating cumulative reports with Ct values which has been very valuable for investigating certain cases and for research based questions. In conclusion, our study shows that the NeuMoDx n class="Species">SARS-CoV-2 assay has comparable or better analytic and clinical performance to the RealStar, the CDC Panel, and the New York SARS-CoV-2 assays. Implementing the assay was associated with a positive impact on the workflow which assisted with scaling up testing within the limits of the company’s supply chain. The clinical sensitivity of COVID-19 molecular diagnostics in different patients’ populations is still an area of research.

CRediT authorship contribution statement

Heba H. Mostafa: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - original draft, Visualization, Supervision, Project administration, Funding acquisition. Daryl M. Lamson: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing - review & editing, Visualization, Supervision, Project administration. Katharine Uhteg: Software, Validation, Formal analysis, Data curation. Melissa Geahr: Software, Validation, Formal analysis. Linda Gluck: Software, Validation, Formal analysis. Jessica N. Brazeltoene">n de Cárdeene">nas: Coene">nceptualizatioene">n, Methodology, Software, Validatioene">n, Formal aene">nalysis, Iene">nvestigatioene">n, Data curatioene">n. Elizabeth Morehead: Software, Validatioene">n, Formal aene">nalysis. Michael Formaene">n: Software, Validatioene">n, Formal aene">nalysis. Kareene">n C. Carroll: Coene">nceptualizatioene">n, Methodology, Iene">nvestigatioene">n, Resources, Writiene">ng - review & editiene">ng, Visualizatioene">n, Supervisioene">n, Project admiene">nistratioene">n, Fuene">ndiene">ng acquisitioene">n. Raene">ndall T. Haydeene">n: Coene">nceptualizatioene">n, Methodology, Software, Validatioene">n, Formal aene">nalysis, Iene">nvestigatioene">n, Resources, Data curatioene">n, Writiene">ng - review & editiene">ng, Visualizatioene">n, Supervisioene">n, Project admiene">nistratioene">n, Fuene">ndiene">ng acquisitioene">n. Kirsteene">n St. George: Coene">nceptualizatioene">n, Methodology, Software, Validatioene">n, Formal aene">nalysis, Iene">nvestigatioene">n, Resources, Data curatioene">n, Writiene">ng - review & editiene">ng, Visualizatioene">n, Supervisioene">n, Project admiene">nistratioene">n, Fuene">ndiene">ng acquisitioene">n.

Declaration of Competing Interest

KCC: Scientific advisory board for Pattern Diagnostics, Inc. and Scanogen, Inc., Research funds paid to the institution from BD Diagnostics, LBT Innovations, GenePOC, Inc., MeMed, Inc. KSG: Research support from ThermoFisher and has a royalty generating collaborative agreement with Zeptometrix. RTH: Advisory boards for Roche Molecular and Quidel Corporation. HHM: Research funds from DiaSorin Molecular and Bio-Rad Laboratories.
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