Literature DB >> 32885293

Evaluation of three commercial assays for SARS-CoV-2 molecular detection in upper respiratory tract samples.

Flora Marzia Liotti1,2, Giulia Menchinelli1,2, Brunella Posteraro1,3, Paola Cattani1,2, Simona Marchetti2, Grazia Angela Morandotti2, Maurizio Sanguinetti4,5.   

Abstract

The increasing COVID-19 widespread has created the necessity to assess the diagnostic accuracy of newly introduced (RT-PCR based) assays for n class="Species">SARS-CoV-2 RNA detection in respiratory tract samples. We compared the results of the Allplex™ 2019-nCoV assay with those of the Simplexa™ COVID-19 Direct assay and the Quanty COVID-19 assay, respectively, all performed on 125 nasal/oropharyngeal swab samples of patients with COVID-19 suspicion. Fifty-four samples were positive, and 71 were negative with the Allplex™ assay, whereas 47 of 54 samples were also positive with the Simplexa™ assay. The Quanty assay detected 55 positive samples, including the 54 positive samples with the Allplex™ assay and 1 sample that was Allplex™ negative but Simplexa™ positive. Using a consensus result criterion as the reference standard allowed to resolve the eight samples with discordant results (one Allplex™ negative and seven Simplexa™ negative) as truly false negative. Interestingly, a Spearman's negative association was found between the viral RNA loads quantified by the Quanty assay and the CT values of RT PCRs performed with either the Allplex™ assay or the Simplexa™ assay. However, the strength of this association was higher for the Allplex™ assay (N gene, ρ = - 0.92; RdRP gene, ρ = - 0.91) than for the Simplexa™ assay (ORF1ab gene, ρ = - 0.65; S gene, ρ = - 0.80). The Allplex™ 2019-nCoV, the Simplexa™ COVID-19 Direct, and the Quanty COVID-19 assays yielded comparable results. However, the role these assays might play in future clinical practice warrants larger comparison studies.

Entities:  

Keywords:  COVID-19; Molecular assay; Respiratory samples; SARS-CoV-2; Viral RNA load

Year:  2020        PMID: 32885293      PMCID: PMC7471581          DOI: 10.1007/s10096-020-04025-0

Source DB:  PubMed          Journal:  Eur J Clin Microbiol Infect Dis        ISSN: 0934-9723            Impact factor:   3.267


Introduction

Since first isolation on December 2019 [1], the severe acute respiratory syndrome coronavirus 2 (n class="Species">SARS-CoV-2)—initially called 2019-nCoV—which causes the illness referred to as coronavirus disease 2019 (COVID-19) has increasingly spread worldwide. By 29 April 2020, the number of confirmed cases reported by the World Health Organization (WHO) had reached 3,023,788 (https://covid19.who.int/), hence representing an unprecedented viral pandemic. To prevent virus transmission and/or ensure appropriate management of COVID-19 patients [2], clinical microbiology laboratories are constantly requested to implement relatively quick and sensitive diagnostic assays for SARS-CoV-2 RNA detection in clinical samples [3]. Nowadays, real-time reverse transcription-polymerase chain reaction (RT-PCR)-based assay performed on upper respiratory tract (URT) samples (e.g., nasopharyngeal and/or oropharyngeal swabs) is the current diagnostic strategy to confirm n class="Disease">COVID-19 cases [4], regardless of clinical disease manifestation [5]. In general, diagnosis relies upon the in vitro amplification of one or more molecular targets within the positive-sense, single-stranded SARS-CoV-2 RNA, including the envelope (E), RNA-dependent RNA polymerase (RdRP), and nucleocapsid (N) genes, among others [6, 7]. In particular, the assay developed by the Centers for Disease Control and Prevention (CDC)—the most widely used in the USA—utilizes two N gene regions (N1 and N2) as targets [4]. As soon as the WHO published protocols for RT-PCR assays [8], Seegene launched the Allplex™ 2019-nCoV assay—approved for emergeene">ncy use authorizatioene">n (EUA) from US Food and Drug Admiene">nistratioene">n (FDA) oene">n 21 April 2020. This siene">ngle-tube assay ideene">ntifies E, n class="Gene">RdRP, and N genes, as established by the WHO (https://www.who.int/emergencies/diseases/novel-coronavirus-2019/technical-guidance/laboratory-guidance). Later, DiaSorin Molecular developed the Simplexa™ COVID-19 Direct assay, for which the FDA granted a EUA on 19 March 2020 [4]. The assay targets two regions within the SARS-CoV-2 genome, one encoding the spike (S) protein (i.e., the S gene) and the other well-conserved non-structural proteins (i.e., the open reading frames ORF1a and ORF1b) of SARS-CoV-2. Remarkably, both assays received CE (Conformité Européenne) marking. In parallel, the CE-marked Clonit Quanty COVID-19 assay was developed according to CDC guidelines (https://www.cdc.gov/) to detect and, importantly, quantify SARS-CoV-2 RNA in clinical samples using three N gene regions (N1, N2, and N3) as targets. However, the true sensitivity of currently available assays is unknown [9]. In particular, few studies so far have compared the results obtained with different commercial assays in routine laboratory practice [10-12]. The aim of this study was to perform a comparative evaluation of the Allplex™ 2019-nCoV (Arrow Diagnostics S.r.l., Geene">nova, Italy), the Simplexa™ n class="Disease">COVID-19 Direct (DiaSorin Molecular, Saluggia, Vercelli, Italy), and the Quanty COVID-19 (Clonit S.r.l, Milan, Italy) assays on nasal/oropharyngeal swab (NOS) samples of patients screened for SARS-CoV-2 infection.

Materials and methods

Study design and samples

This retrospective study was performed on NOS samples collected from n class="Species">patients admitted to the Fondazione Policlinico Universitario A. Gemelli (FPG) IRCCS hospital’s emergency department with COVID-19 suspicion during a 2-week period in May 2020. NOS samples were collected together within a single tube of universal transport medium (UTM®; Copan Italia S.p.A., Brescia, Italy) to prevent viral RNA degradation and/or bacterial/fungal overgrowth. We considered all samples tested for SARS-CoV-2 RNA by the Allplex™ 2019-nCoV assay (see below) eligible for inclusion. Among SARS-CoV-2 positive samples, we randomly selected samples that were representative of differing target(s) positive levels, as assessed by their cycle threshold (C) values (i.e., 17.9–39.4; see also below). We also selected negative samples to reach a number of 125 samples in total. Aliquots of primary samples were immediately frozen and kept at − 70 °C until further analysis. Before testing, aliquots were thawed at room temperature and briefly vortexed.

SARS-CoV-2 molecular detection

Testing of NOS sample aliquots using SARS-CoV-2 molecular assays was performed in accordance with the manufacturer’s instructions.

Allplex™ 2019-nCoV assay

Briefly, 200 μl of sample was processed with a Seegene Nimbus automated system (Arrow Diagnostics), which performs both RNA extraction—using STARMag Universal Cartridge kit—and PCR assay setup. A reaction microplate with therein-extracted RNA was loaded onto a real-time PCR CFX96 Touch™ system (Bio-Rad Laboratories, Hercules, CA, USA). Positive and negative controls were included in each run. After assay’s completion, the Seegene Viewer 2019-nCoV software allowed automated analysis and interpretation of results. A positive result (i.e., a C less than 40) for at least one of two viral targets (i.e., RdRP and N genes) or for the E gene alone indicates, respectively, the certain or presumptive presence of SARS-CoV-2 RNA in the patient sample. An invalid result (e.g., due to internal control failure) indicates inconclusive determination of the SARS-CoV-2 RNA presence or absence in the patient sample, thus requiring sample retesting.

Simplexa™ COVID-19 Direct assay

Briefly, 50 μl of sample and 50 μl of reaction mixture were separately loaded into Direct real-time PCR amplification-disc wells and onto a LIAISON® MDX instrument (n class="Chemical">DiaSorin Molecular) and allowed to react for a 75-min run. Positive and negative controls were included in each run. After assay’s completion, the instrument’s Studio software automatically calculated and displayed results. A positive result (i.e., a C less than 40) for at least one of two viral targets (i.e., S and ORF1ab genes) indicates the presence of SARS-CoV-2 RNA in the patient sample. As with the Allplex™ 2019-nCoV assay, an invalid result requires sample retesting.

Quanty COVID-19 assay

Briefly, separate real-time PCR microplate’s wells were each filled with 5-μl sample’s extracted RNA (i.e., derived from the n class="Gene">Nimbus RNA extraction step), positive control, negative control, and standards. For SARS-CoV-2 RNA qualitative detection, the instrument’s software automatically analyzed and interpreted the results. A positive result (i.e., a C less than 40) for all three viral targets (N1, N2, and N3 genes) indicates the presence of SARS-CoV-2 RNA in the patient sample. Otherwise, the software defines the result as inconclusive, requiring sample retesting. For SARS-CoV-2 RNA quantitative detection, the software built a standard curve with the C values obtained following amplification of the aforementioned standards (which contain 101, 102, 103, 104, and 105 copies/μl of synthetic viral N1-encoding RNA, respectively). This allowed calculating the viral load in the patient sample by interpolation of the corresponding C value with the standard curve. Then, the actual viral load of the sample (expressed in copies/ml) was determined multiplying the calculated number of viral copies by 1000/Ve and Ev/Ea ratios, where Ve is the extracted sample volume (200 μl), Ev is the eluted sample volume during the extraction step (100 μl), and Ea is the extracted sample volume used for amplification (5 μl). To validate the manufacturer’s standards, we generated a standard curve using the Quantitative Synthetic SARS-CoV2 RNA: ORF, E, and N (ATCC® VR3276SD™), which was diluted at the same concentrations as the standards used in the Quanty COVID-19 assay. In preliminary experiments, each of the ATCC® VR3276SD™ RNA samples was quantified in triplicate with the Quanty COVID-19 assay, and results were in the expected C value ranges (data not shown).

Data analysis

No sample retesting was performed due to the absence of invalid results; consequently, we analyzed the first testing results for all study samples. We calculated sensitivity, specificity, and positive and negative predictive values, together with their respective confidence intervals (CIs), for the Allplex™ n class="Species">2019-nCoV assay, the Simplexa™ COVID-19 Direct assay, and the Quanty COVID-19 assay. To this end, we used a consensus criterion as the reference standard (i.e., defined as the result obtained from at least two of the three molecular assays) [11]. Analysis was performed with Stata software version 11.1 (StataCorp, College Station, TX, USA). Differences between the C values in sample groups were assessed using the Student’s t test. Two-sided P values of < 0.05 were considered statistically significant. We used Cohen’s kappa to assess the strength of agreement between the assays [13]. Values greater than zero indicated none to slight (0.01–0.20), fair (0.21–0.40), moderate (0.41–0.60), substantial (0.61–0.80), or almost perfect (0.81–1.00) levels of agreement, and values lower than/equal to zero indicated the absence of agreement. To assess the relationship between the viral load levels determined by the Quanty COVID-19 assay and the C values determined by the Allplex™ 2019-nCoV or Simplexa™ COVID-19 Direct assays, we performed a Spearman correlation on all samples where the concentration of the SARS-CoV-2 N1 gene was within a range of 101 to 107 copies per ml.

Results

Sample positivity by molecular assays

Table 1 depicts the results of 125 NOS samples, which tested either positive (n = 54) or negative (n = 71) with the Allplex™ n class="Species">2019-nCoV assay—the first implemented SARS-CoV-2 detection assay in our laboratory. The results were evaluated in comparison with those of the Simplexa™ COVID-19 Direct assay and the Quanty COVID-19 assay. As shown (for details, see Table S1 in the supplemental material), C values of Allplex™ 2019-nCoV positive samples ranged from 17.9 to 39.3 for E, RdRP, and N genes (33 samples), 28.4 to 39.3 for RdRP and N genes (9 samples), 33.7 to 39.4 for the N gene (11 samples), and 35.6 to 37.1 for E and N genes (1 sample). In particular, the mean (± SD) C value for the E gene (26.4 ± 3.9) was lower than the values for RdRP (28.0 ± 3.6; P = 0.09) or N (28.9 ± 4.4; P = 0.02) genes in 33 samples and the value for the N gene (37.1) in 1 sample.
Table 1

Overall results of 125 NOS samples tested by three molecular SARS-CoV-2 detection assays

Value for the following assays expressed as number (CT range)
Allplex™ 2019-nCoVSimplexa™ COVID-19 DirectQuanty COVID-19
Positive results
All54 (17.9–39.4)48 (17.5–39.7)55 (18.7–39.8)
By target(s)
  E, RdRP, and N genes33 (17.9–39.3)
  E and N genes1 (35.6–37.1)
  RdRP and N genes9 (28.4–39.3)
  N gene11 (33.7–39.4)
  S and ORF1ab genes40 (17.5–39.7)
  S gene4 (21.0–35.6)
  ORF1ab gene4 (29.3–34.9)
  N1, N2, and N3 genes55 (18.7–39.8)
Negative results71 (0.0–0.0)77 (0.0–0.0)70 (0.0–0.0)
No. of concordant results124118117
No. of discordant results178

NOS nasal/oropharyngeal swab, C threshold cycle, E envelope, RdRP RNA-dependent RNA polymerase, N nucleocapsid, S spike, ORF open reading frame

Overall results of 125 NOS samples tested by three molecular SARS-CoV-2 detection assays NOS nasal/oropharyngeal swab, C threshold cycle, E envelope, RdRP RNA-dependent RNA polymerase, N nucleocapsid, S spike, ORF open reading frame Forty-seven of 54 positive samples by the Allplex™ 2019-nCoV assay had also positive results with the Simplexa™ n class="Disease">COVID-19 Direct assay. The C values of positive Simplexa™ COVID-19 samples ranged from 17.5 to 39.7 for S and ORF1ab genes (40 samples), 21.0 to 35.6 for the ORF1ab gene (4 samples), and 29.3 to 34.9 for the S gene (4 samples). In particular, the mean (± SD) C value for the S gene (27.9 ± 5.1) equated the value for the ORF1ab gene (27.9 ± 3.9; P = 0.99) in 40 samples. Of eight samples with discordant results, seven samples tested positive with the Allplex™ 2019-nCoV assay (the n class="Gene">N gene was detected alone or in combination with E and/or RdRP genes) but negative with the Simplexa™ COVID-19 Direct assay. The remaining one sample tested negative with the Allplex™ 2019-nCoV assay but positive with the Simplexa™ COVID-19 Direct assay (both S and ORF1ab genes were detected). As detailed in Table S1, the mean (± SD) C value of the N gene in the seven samples with discordant results was 34.7 ± 5.9, and this value differed from that of the 47 remaining Allplex™ 2019-nCoV positive samples (31.2 ± 5.0; P = 0.09). Fifty-five samples, including Allplex™ 2019-nCoV (n = 54) and Simplexa™ n class="Disease">COVID-19 (n = 48) positive samples, tested positive, and the remaining 70 of 125 samples tested negative for all the N gene regions targeted by Quanty COVID-19 assay. The C values of positive Quanty COVID-19 assay samples ranged from 18.7 to 39.8 for N1, N2, and N3 genes.

Analytic performance of molecular assays

Table 2 depicts the analytical performance of the three molecular assays according to the reference standard, which relied on a consensus assays’ result criterion, as above specified. As shown, sensitivity and negative predictive value (NPV) of the Allplex™ n class="Species">2019-nCoV assay were 98.2% and 97.2%, respectively, those of the Simplexa™ COVID-19 Direct assay were 87.3% and 90.9%, respectively, and those of the Quanty COVID-19 assay were both 100%. When analyzing the results according to single assay’s targets, we found lower sensitivities and NPVs for RdRP (76.4% and 84.3%, respectively) and E (61.8% and 76.9%, respectively) genes in the Allplex™ 2019-nCoV assay and for both S and ORF1ab (80.0% and 86.4%, respectively) genes in the Simplexa™ COVID-19 Direct assay (Table 2).
Table 2

Performances of the Allplex™ 2019-nCoV, Simplexa COVID-19 Direct, and Quanty COVID-19 assays according to a consensus criterion used as the reference standarda

Allplex 2019-nCoV results by target
E geneRdRP geneN geneTotal
No. matched positives34425454
No. matched negatives70707070
No. Allplex 2019-nCoV misses211311
% sensitivity (95% CI)61.8 (47.7–74.6)76.4 (63.0–86.8)98.2 (90.3–100.0)98.2 (90.3–100.0)
% specificity (95% CI)100.0 (94.9–100.0)100.0 (94.9–100.0)100.0 (94.9–100.0)100.0 (94.9–100.0)
% PPV (95% CI)100.0 (89.7–100.0)100.0 (91.6–100.0)100.0 (93.3–100.0)100.0 (93.3–100.0)
% NPV (95% CI)76.9 (66.9–85.1)84.3 (74.7–91.4)97.2 (90.3–99.7)97.2 (90.3–99.7)
% agreement83.289.699.299.2
Cohen’s kappa (95% CI)0.98 (0.95–1.02)
Simplexa COVID-19 results by target
S geneORF1ab geneTotal
No. matched positives444448
No. matched negatives707070
No. Simplexa COVID-19 misses11117
% sensitivity (95% CI)80.0 (67.0–89.6)80.0 (67.0–89.6)87.3 (75.5–94.7)
% specificity (95% CI)100.0 (94.9–100.0)100.0 (94.9–100.0)100.0 (94.9–100.0)
% PPV (95% CI)100.0 (92.0–100.0)100.0 (92.0–100.0)100.0 (92.6–100.0)
% NPV (95% CI)86.4 (77.0–93.0)86.4 (77.0–93.0)90.9 (82.2–96.3)
% agreement91.291.294.4
Cohen’s kappa (95% CI)0.88 (0.80–0.97)
Quanty COVID-19 results by target
N1 geneN2 geneN3 geneTotal
No. matched positives55555555
No. matched negatives70707070
No. Quanty COVID-19 misses0000
% sensitivity (95% CI)100.0 (93.5–100.0)100.0 (93.5–100.0)100.0 (93.5–100.0)100.0 (93.5–100.0)
% specificity (95% CI)100.0 (94.9–100.0)100.0 (94.9–100.0)100.0 (94.9–100.0)100.0 (94.9–100.0)
% PPV (95% CI)100.0 (93.5–100.0)100.0 (93.5–100.0)100.0 (93.5–100.0)100.0 (93.5–100.0)
% NPV (95% CI)100.0 (94.9–100.0)100.0 (94.9–100.0)100.0 (94.9–100.0)100.0 (94.9–100.0)
% agreement100.0100.0100.0100.0
Cohen’s kappa (95% CI)1.00 (1.0–1.0)

E envelope, RdRP RNA-dependent RNA polymerase, N nucleocapsid, S spike, ORF open reading frame, CI confidence interval, PPV positive predictive value, NPV negative predictive value

aThe reference standard was defined as the result obtained from at least two of the three molecular assays under evaluation [11]

Performances of the Allplex™ 2019-nCoV, Simplexa n class="Disease">COVID-19 Direct, and Quanty COVID-19 assays according to a consensus criterion used as the reference standarda E envelope, RdRP RNA-dependent RNA polymerase, N nucleocapsid, S spike, ORF open reading frame, CI confidence interval, PPV positive predictive value, NPV negative predictive value aThe reference standard was defined as the result obtained from at least two of the three molecular assays under evaluation [11]

Relationship between samples’ CT values and viral loads

Table 3 shows the viral loads determined by the Quanty COVID-19 assay (expressed as log10 n class="Gene">N1 copies per ml) in positive samples, which were stratified by the Allplex™ 2019-nCoV (E, RdRP, and N) or the Simplexa™ COVID-19 Direct (S and ORF1ab) assays’ targets. We found highest proportions of E (29.4% and 26.5%, respectively), RdRP (23.8% and 26.2%, respectively), and N (22.2% and 20.4%, respectively) gene detections, as well as S (27.3% and 22.7%, respectively) and ORF1ab (25.0% and 22.7%, respectively) gene detections in samples with viral load levels ranging from > 3.0 to ≤ 4.0 or > 4.0 to ≤ 5.0 log10 copies per ml.
Table 3

Detection results of Allplex™ 2019-nCoV and the Simplexa™ COVID-19 Direct assays’ targets according to the viral load levels in positive NOS samples, as determined by the Quanty COVID-19 assay

Viral load levels (log10 copies/ml)No. (%) of detections by Allplex 2019-nCoV targetsaNo. (%) of detections by Simplexa COVID-19 targetsb
E geneRdRP geneN geneS geneORF1ab gene
n = 34n = 42n = 54n = 44n = 44
≤ 1.00 (0.0)0 (0.0)1 (1.9)0 (0.0)0 (0.0)
> 1.0–≤ 2.03 (8.8)5 (11.9)12 (22.2)7 (16.0)10 (22.7)
> 2.0–≤ 3.02 (5.9)6 (14.3)8 (14.8)6 (13.6)5 (11.4)
> 3.0–≤ 4.010 (29.4)10 (23.8)12 (22.2)12 (27.3)11 (25.0)
> 4.0–≤ 5.09 (26.5)11 (26.2)11 (20.4)10 (22.7)10 (22.7)
> 5.0–≤ 6.07 (20.6)7 (16.7)7 (13.0)6 (13.6)5 (11.4)
> 6.0–≤ 7.03 (8.8)3 (7.1)3 (5.5)3 (6.8)3 (6.8)

aThe Allplex 2019-nCoV targets the E (envelope), RdRP (RNA-dependent RNA polymerase), and N (nucleocapsid) genes of SARS-CoV-2

bThe Simplexa COVID-19 targets the S (spike) and ORF1ab (open reading frame 1ab) genes of SARS-CoV-2

Detection results of Allplex™ 2019-nCoV and the Simplexa™ n class="Disease">COVID-19 Direct assays’ targets according to the viral load levels in positive NOS samples, as determined by the Quanty COVID-19 assay aThe Allplex 2019-nCoV targets the E (envelope), RdRP (RNA-dependent RNA polymerase), and N (nucleocapsid) genes of SARS-CoV-2 bThe Simplexa COVID-19 targets the S (spike) and ORF1ab (open reading frame 1ab) genes of SARS-CoV-2 To determine if there was relationship between viral load and C value, we performed a Spearman’s correlation analysis. Before that, samples with C values ≥ 40 by the Allplex™ 2019-nCoV assay or the Simplexa™ n class="Disease">COVID-19 Direct assay were assigned a value of 40. Analyzing all 55 samples that tested positive or negative by the assays, we found a strong (negative) association between the C values of N (Spearman’s ρ = − 0.92; P < 0.001) and RdRP (ρ = − 0.91; P < 0.001) genes—detected by the Allplex™ 2019-nCoV assay—and viral loads (Fig. 1). Conversely, we found a less strong (negative) association between the C values of ORF1ab (ρ = − 0.65; P < 0.001) and S (ρ = − 0.80; P < 0.001) genes—detected by the Simplexa™ COVID-19 Direct assay—and viral loads (Fig. 2).
Fig. 1

Correlation between the viral load levels quantified by the Quanty COVID-19 assay and the C values obtained with the Allplex™ 2019-nCoV assay. Values are shown for each SARS-CoV-2 gene (E, RdRP, or N) detected by the assay

Fig. 2

Correlation between the viral load levels quantified by the Quanty COVID-19 assay and the C values obtained with the Simplexa™ COVID-19 Direct assay. Values are shown for each SARS-CoV-2 gene (S or ORF1ab) detected by the assay

Correlation between the viral load levels quantified by the Quanty COVID-19 assay and the C values obtaiene">ned with the Allplex™ n class="Species">2019-nCoV assay. Values are shown for each SARS-CoV-2 gene (E, RdRP, or N) detected by the assay Correlation between the viral load levels quantified by the Quanty COVID-19 assay and the C values obtaiene">ned with the Simplexa™ n class="Disease">COVID-19 Direct assay. Values are shown for each SARS-CoV-2 gene (S or ORF1ab) detected by the assay

Discussion

The current speed with which the laboratory-based diagnostic landscape for COVID-19 is changing [3] creates an impelling necessity to assess rigorously the diagnostic accuracy of newly introduced n class="Species">SARS-CoV-2 assays. The DiaSorin Molecular Simplexa™ COVID-19 Direct assay is one of 28 commercially available assays that was EUA granted from the FDA as of 4 April 2020 [4]. One study compared the DiaSorin Molecular assay with the Abbott ID Now assay, using a modified CDC assay as the reference standard [10]. Another study compared the DiaSorin Molecular assay with a modified CDC Diagnostic Panel, the Diagnostics GenMark ePlex SARS-CoV-2 assay, and the Hologic Panther Fusion SARS–CoV-2 assay [11]. In the latter study [11], the authors used a “consensus result,” namely, a result obtained by at least three out of four evaluated assays, to establish the reference standard. Both the studies tested URT samples (n = 96 [10] and n = 104 [11], respectively). Using the same criterion [11], we independently assessed the performance of the Simplexa™ COVID-19 Direct assay and the Quanty COVID-19 assay in comparison with that of the Allplex™ 2019-nCoV assay—one of the first commercialized assays since SARS-CoV-2 had been isolated for the first time [1]. Additionally, we used the Quanty COVID-19 assay to quantitate the SARS-CoV-2 RNA (i.e., the N1 gene) in the 125 NOS samples (Table S1) under consideration. Our findings show that, while the Quanty COVID-19 assay displayed 100% agreemeene">nt with the refereene">nce staene">ndard, the Allplex™ n class="Species">2019-nCoV and the Simplexa™ COVID-19 Direct assays yielded comparable results (99.2% and 94.4%, respectively). Discordant results were found in eight positive samples, i.e., one false negative by the Allplex™ 2019-nCoV assay and seven false negatives by the Simplexa™ COVID-19 Direct assay (sensitivity was 98.2% and 87.3%, respectively). The reasons for the discordant results are unknown. We noticed that the sample testing false negative with the Allplex™ 2019-nCoV assay was true positive with the Simplexa™ COVID-19 Direct assay and had C values (34.5 [S gene] and 34.8 [ORF1ab gene]) comparable with those of the Quanty COVID-19 assay (38.3 [N2 gene] and 37.8 [N3 gene]). The viral load in this sample equated to 6.2 × 102 RNA copies/ml, and we found a similar value in other five samples (range, 5.3 × 102 to 6.5 × 102 RNA copies/ml) included in this analysis. Except for one (Simplexa™ COVID-19 negative) sample, these samples tested positive with both the Allplex™ 2019-nCoV (two for N gene alone and two for both N and RdRP genes) and the Simplexa™ COVID-19 Direct (two for ORF1ab gene alone and two for both S and ORF1ab genes) assays. The viral loads of seven samples with a false-negative result by the Simplexa™ COVID-19 Direct assay ranged from 3.3 × 101 to 2.8 × 106 RNA copies/ml, and three of these samples were under the limit of detection estimated as 500 RNA copies/ml (https://www.molecular.diasorin.com) or reported as 16 to 62 RNA copies/ml [11] for the DiaSorin Molecular assay. Thus, the false negativity observed, particularly with the Simplexa™ COVID-19 Direct assay, might not be due to a scarce copy number of SARS-CoV-2 RNA in those samples. Consequently, we could not rule out that intrinsic reasons (e.g., virus mutation) have affected the RT-PCR result in our samples. Unfortunately, we did not perform viral sequencing to clarify this issue [14]. To reduce the potential risks of cross-reactions with endemic (HCoV-229E, n class="Species">HCoV-NL63, HCoV-OC43, and HCoV-HKU1) or other epidemic (SARS-CoV and MERS-CoV) coronaviruses and SARS-CoV-2 genome mutations, experts advise to include at least two molecular targets when developing a SARS-CoV-2 detection assay [4]. From the Allplex™ 2019-nCoV assay’s implementation [15] to current use in our laboratory, Seegene modified the interpretative criteria, so that positivity for one of three assay targets is now sufficient to adjudicate a sample as positive for SARS-CoV-2 RNA. Excluding one sample (negative for all three targets), it is remarkable that in all 54 Allplex™ 2019-nCoV positive samples, the N gene was detected. Thus, we are not surprised that the US CDC recommended the N gene as a SARS-CoV-2 assay target alone [16], as well as the N gene was the sole molecular target in the Quanty COVID-19 assay. As viral dynamics in COVID-19 cases is not fully understood [17], n class="Species">SARS-CoV-2 loads determined by RT PCR assays may not be useful to indicate disease severity [18-20]. However, the viral load in a clinical (primarily URT) sample may be an indication of pathogen transmissibility [21] and correlates with the virus isolation in cell culture [22]. Consistent with studies showing that lower C values are inversely related to higher viral copy numbers [19, 20, 23], we found that viral loads were negatively associated with the C values of RT PCRs performed with either the Allplex™ 2019-nCoV assay or the Simplexa™ COVID-19 Direct assay. However, we noted a slight difference in the strength of this association between assays, which was in favor of the Allplex™ 2019-nCoV assay. As the Simplexa™ COVID-19 Direct assay was performed on frozen samples whereas the Allplex™ 2019-nCoV assay on fresh samples, we do not exclude the possibility of viral RNA degradation by freezing, which might have lowered the viral loads in the samples tested with the Simplexa™ COVID-19 Direct assay. Otherwise, the fact that the SARS-CoV-2 N gene is not targeted by the Simplexa™ COVID-19 Direct assay could explicate the low association between C values and viral loads seen with this assay. While confirming previously published results (albeit restricted to the Simplexa™ COVID-19 Direct assay) [10, 11], we expanded the geene">neral kene">nowledge about performance features of commercially available molecular n class="Species">SARS-CoV-2 detection assays (including sample-to-answer platforms [24-26]). The finding that one molecular target would work better than the other is helpful in redesigning such assays (e.g., shifting from multiple targets to a single target) to enhance reagent utilization [3]. Meanwhile, showing the equivalence of assays may aid to promptly redirect our laboratory choice of RNA-based diagnostic assays towards those with less supply chain trouble at that time [3]. Compared with the Allplex™ 2019-nCoV assay or the Quanty COVID-19 assay, the Simplexa™ COVID-19 Direct assay has the advantage of quicker turnaround test results (75 min vs 4–5 h, respectively). Because the time to perform test is an important criterion, use of the Simplexa™ COVID-19 Direct assay instead of Allplex™ 2019-nCoV assay or the Quanty COVID-19 assay should be favored. However, in the case of a massive crisis such as the one we experienced, working on 96-well plates for RNA extraction and RT-PCR for a 4–5 h duration can be time saving, compared with a test that allows to obtain results in 75 min but at low output (i.e., with a 1–8 sample format). In conclusion, the study showed that the Allplex™ 2019-nCoV assay is equivaleene">nt to the Simplexa™ n class="Disease">COVID-19 Direct assay for the laboratory-confirmed diagnosis of COVID-19, whereas the Quanty COVID-19 assay allows to maximize diagnosis. Additionally, the Quanty COVID-19 assay providing quantitative data may be useful for SARS-CoV-2 infection monitoring purposes. However, further studies are warranted to define the role these assays might play in future clinical practice. Certainly, as testing for COVID-19 increases, these assays or their refinements will contribute to improve the laboratory capacity to identify patients with SARS-CoV-2 infection. (DOCX 32 kb)
  14 in total

1.  Weighted least-squares approach for comparing correlated kappa.

Authors:  Huiman X Barnhart; John M Williamson
Journal:  Biometrics       Date:  2002-12       Impact factor: 2.571

2.  Characterization of two new electrophoretic variants of human triosephosphate isomerase: stability, kinetic, and immunological properties.

Authors:  J Asakawa; H W Mohrenweiser
Journal:  Biochem Genet       Date:  1982-02       Impact factor: 1.890

3.  Comparing the analytical performance of three SARS-CoV-2 molecular diagnostic assays.

Authors:  Katharine Uhteg; Junko Jarrett; Mahmia Richards; Craig Howard; Elizabeth Morehead; Melissa Geahr; Linda Gluck; Ann Hanlon; Brandon Ellis; Harsimar Kaur; Patricia Simner; Karen C Carroll; Heba H Mostafa
Journal:  J Clin Virol       Date:  2020-04-26       Impact factor: 3.168

4.  Improved Molecular Diagnosis of COVID-19 by the Novel, Highly Sensitive and Specific COVID-19-RdRp/Hel Real-Time Reverse Transcription-PCR Assay Validated In Vitro and with Clinical Specimens.

Authors:  Jasper Fuk-Woo Chan; Cyril Chik-Yan Yip; Kelvin Kai-Wang To; Tommy Hing-Cheung Tang; Sally Cheuk-Ying Wong; Kit-Hang Leung; Agnes Yim-Fong Fung; Anthony Chin-Ki Ng; Zijiao Zou; Hoi-Wah Tsoi; Garnet Kwan-Yue Choi; Anthony Raymond Tam; Vincent Chi-Chung Cheng; Kwok-Hung Chan; Owen Tak-Yin Tsang; Kwok-Yung Yuen
Journal:  J Clin Microbiol       Date:  2020-04-23       Impact factor: 5.948

5.  Interpret with caution: An evaluation of the commercial AusDiagnostics versus in-house developed assays for the detection of SARS-CoV-2 virus.

Authors:  H Rahman; I Carter; K Basile; L Donovan; S Kumar; T Tran; D Ko; S Alderson; T Sivaruban; J-S Eden; R Rockett; M V O'Sullivan; V Sintchenko; S C-A Chen; S Maddocks; D E Dwyer; J Kok
Journal:  J Clin Virol       Date:  2020-04-20       Impact factor: 3.168

6.  First Case of 2019 Novel Coronavirus in the United States.

Authors:  Michelle L Holshue; Chas DeBolt; Scott Lindquist; Kathy H Lofy; John Wiesman; Hollianne Bruce; Christopher Spitters; Keith Ericson; Sara Wilkerson; Ahmet Tural; George Diaz; Amanda Cohn; LeAnne Fox; Anita Patel; Susan I Gerber; Lindsay Kim; Suxiang Tong; Xiaoyan Lu; Steve Lindstrom; Mark A Pallansch; William C Weldon; Holly M Biggs; Timothy M Uyeki; Satish K Pillai
Journal:  N Engl J Med       Date:  2020-01-31       Impact factor: 91.245

7.  Laboratory Diagnosis of COVID-19: Current Issues and Challenges.

Authors:  Yi-Wei Tang; Jonathan E Schmitz; David H Persing; Charles W Stratton
Journal:  J Clin Microbiol       Date:  2020-05-26       Impact factor: 5.948

Review 8.  Guidelines for Laboratory Diagnosis of Coronavirus Disease 2019 (COVID-19) in Korea.

Authors:  Ki Ho Hong; Sang Won Lee; Taek Soo Kim; Hee Jae Huh; Jaehyeon Lee; So Yeon Kim; Jae Sun Park; Gab Jeong Kim; Heungsup Sung; Kyoung Ho Roh; Jae Seok Kim; Hyun Soo Kim; Seung Tae Lee; Moon Woo Seong; Namhee Ryoo; Hyukmin Lee; Kye Chul Kwon; Cheon Kwon Yoo
Journal:  Ann Lab Med       Date:  2020-09       Impact factor: 3.464

9.  Report from the American Society for Microbiology COVID-19 International Summit, 23 March 2020: Value of Diagnostic Testing for SARS-CoV-2/COVID-19.

Authors:  Robin Patel; Esther Babady; Elitza S Theel; Gregory A Storch; Benjamin A Pinsky; Kirsten St George; Tara C Smith; Stefano Bertuzzi
Journal:  mBio       Date:  2020-03-26       Impact factor: 7.867

10.  Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).

Authors:  Ruiyun Li; Sen Pei; Bin Chen; Yimeng Song; Tao Zhang; Wan Yang; Jeffrey Shaman
Journal:  Science       Date:  2020-03-16       Impact factor: 47.728

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  18 in total

1.  The Longest Persistence of Viable SARS-CoV-2 With Recurrence of Viremia and Relapsing Symptomatic COVID-19 in an Immunocompromised Patient-A Case Study.

Authors:  Chiara Sepulcri; Chiara Dentone; Malgorzata Mikulska; Bianca Bruzzone; Alessia Lai; Daniela Fenoglio; Federica Bozzano; Annalisa Bergna; Alessia Parodi; Tiziana Altosole; Emanuele Delfino; Giulia Bartalucci; Andrea Orsi; Antonio Di Biagio; Gianguglielmo Zehender; Filippo Ballerini; Stefano Bonora; Alessandro Sette; Raffaele De Palma; Guido Silvestri; Andrea De Maria; Matteo Bassetti
Journal:  Open Forum Infect Dis       Date:  2021-04-28       Impact factor: 3.835

2.  SARS-CoV-2 Antigen Test Results to Infer Active or Non-Active Virus Replication Status in COVID-19 Patients.

Authors:  Giulia De Angelis; Giulia Menchinelli; Flora Marzia Liotti; Simona Marchetti; Alessandro Salustri; Antonietta Vella; Rosaria Santangelo; Brunella Posteraro; Maurizio Sanguinetti
Journal:  Diagnostics (Basel)       Date:  2022-05-28

3.  Efficacy of the Sentinox Spray in Reducing Viral Load in Mild COVID-19 and Its Virucidal Activity against Other Respiratory Viruses: Results of a Randomized Controlled Trial and an In Vitro Study.

Authors:  Donatella Panatto; Andrea Orsi; Bianca Bruzzone; Valentina Ricucci; Guido Fedele; Giorgio Reiner; Nadia Giarratana; Alexander Domnich; Giancarlo Icardi
Journal:  Viruses       Date:  2022-05-12       Impact factor: 5.818

4.  Genomics and epidemiology of the P.1 SARS-CoV-2 lineage in Manaus, Brazil.

Authors:  Nuno R Faria; Thomas A Mellan; Charles Whittaker; Ingra M Claro; Darlan da S Candido; Swapnil Mishra; Oliver G Pybus; Seth Flaxman; Samir Bhatt; Ester C Sabino; Myuki A E Crispim; Flavia C S Sales; Iwona Hawryluk; John T McCrone; Ruben J G Hulswit; Lucas A M Franco; Mariana S Ramundo; Jaqueline G de Jesus; Pamela S Andrade; Thais M Coletti; Giulia M Ferreira; Camila A M Silva; Erika R Manuli; Rafael H M Pereira; Pedro S Peixoto; Moritz U G Kraemer; Nelson Gaburo; Cecilia da C Camilo; Henrique Hoeltgebaum; William M Souza; Esmenia C Rocha; Leandro M de Souza; Mariana C de Pinho; Leonardo J T Araujo; Frederico S V Malta; Aline B de Lima; Joice do P Silva; Danielle A G Zauli; Alessandro C de S Ferreira; Ricardo P Schnekenberg; Daniel J Laydon; Patrick G T Walker; Hannah M Schlüter; Ana L P Dos Santos; Maria S Vidal; Valentina S Del Caro; Rosinaldo M F Filho; Helem M Dos Santos; Renato S Aguiar; José L Proença-Modena; Bruce Nelson; James A Hay; Mélodie Monod; Xenia Miscouridou; Helen Coupland; Raphael Sonabend; Michaela Vollmer; Axel Gandy; Carlos A Prete; Vitor H Nascimento; Marc A Suchard; Thomas A Bowden; Sergei L K Pond; Chieh-Hsi Wu; Oliver Ratmann; Neil M Ferguson; Christopher Dye; Nick J Loman; Philippe Lemey; Andrew Rambaut; Nelson A Fraiji; Maria do P S S Carvalho
Journal:  Science       Date:  2021-04-14       Impact factor: 47.728

5.  The diagnostic accuracy of seven commercial molecular in vitro SARS-CoV-2 detection tests: a rapid meta-analysis.

Authors:  Zulvikar Syambani Ulhaq; Gita Vita Soraya
Journal:  Expert Rev Mol Diagn       Date:  2021-06-01       Impact factor: 5.225

6.  Evaluation of Factors that Affect the Performance of COVID-19 Molecular Assays Including Presence of Symptoms, Number of Detected Genes and RNA Extraction Type.

Authors:  Liron Jerbi; Maya Azrad; Avi Peretz
Journal:  Mol Diagn Ther       Date:  2022-01-24       Impact factor: 4.074

7.  Immunohistochemical and qPCR Detection of SARS-CoV-2 in the Human Middle Ear Versus the Nasal Cavity: Case Series.

Authors:  Arwa Kurabi; Kwang Pak; Adam S DeConde; Allen F Ryan; Carol H Yan
Journal:  Head Neck Pathol       Date:  2021-08-28

8.  Receptor binding domain-IgG levels correlate with protection in residents facing SARS-CoV-2 B.1.1.7 outbreaks.

Authors:  Hubert Blain; Edouard Tuaillon; Lucie Gamon; Amandine Pisoni; Stéphanie Miot; Valentin Delpui; Nejm Si-Mohamed; Clémence Niel; Yves Rolland; Brigitte Montes; Soraya Groc; Sophia Rafasse; Anne-Marie Dupuy; Nathalie Gros; Delphine Muriaux; Marie-Christine Picot; Jean Bousquet
Journal:  Allergy       Date:  2021-10-29       Impact factor: 14.710

9.  Genomics and epidemiology of a novel SARS-CoV-2 lineage in Manaus, Brazil.

Authors:  Nuno R Faria; Thomas A Mellan; Charles Whittaker; Ingra M Claro; Darlan da S Candido; Swapnil Mishra; Myuki A E Crispim; Flavia C Sales; Iwona Hawryluk; John T McCrone; Ruben J G Hulswit; Lucas A M Franco; Mariana S Ramundo; Jaqueline G de Jesus; Pamela S Andrade; Thais M Coletti; Giulia M Ferreira; Camila A M Silva; Erika R Manuli; Rafael H M Pereira; Pedro S Peixoto; Moritz U Kraemer; Nelson Gaburo; Cecilia da C Camilo; Henrique Hoeltgebaum; William M Souza; Esmenia C Rocha; Leandro M de Souza; Mariana C de Pinho; Leonardo J T Araujo; Frederico S V Malta; Aline B de Lima; Joice do P Silva; Danielle A G Zauli; Alessandro C de S Ferreira; Ricardo P Schnekenberg; Daniel J Laydon; Patrick G T Walker; Hannah M Schlüter; Ana L P Dos Santos; Maria S Vidal; Valentina S Del Caro; Rosinaldo M F Filho; Helem M Dos Santos; Renato S Aguiar; José L P Modena; Bruce Nelson; James A Hay; Melodie Monod; Xenia Miscouridou; Helen Coupland; Raphael Sonabend; Michaela Vollmer; Axel Gandy; Marc A Suchard; Thomas A Bowden; Sergei L K Pond; Chieh-Hsi Wu; Oliver Ratmann; Neil M Ferguson; Christopher Dye; Nick J Loman; Philippe Lemey; Andrew Rambaut; Nelson A Fraiji; Maria do P S S Carvalho; Oliver G Pybus; Seth Flaxman; Samir Bhatt; Ester C Sabino
Journal:  medRxiv       Date:  2021-03-03

10.  SARS-CoV-2 samples may escape detection because of a single point mutation in the N gene.

Authors:  Katharina Ziegler; Philipp Steininger; Renate Ziegler; Jörg Steinmann; Klaus Korn; Armin Ensser
Journal:  Euro Surveill       Date:  2020-10
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