Literature DB >> 32350048

Comparison of Commercially Available and Laboratory-Developed Assays for In Vitro Detection of SARS-CoV-2 in Clinical Laboratories.

Joshua A Lieberman1, Gregory Pepper1, Samia N Naccache2, Meei-Li Huang1,3, Keith R Jerome1,3, Alexander L Greninger4,3.   

Abstract

Multiple laboratory-developed tests (LDTs) and commercially available assays have emerged to meet diagnostic needs related to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. To date, there is limited comparison data for these different testing platforms. We compared the analytical performance of a LDT developed in our clinical laboratory based on CDC primer sets and four commercially available, FDA emergency use authorized assays for SARS-CoV-2 (Cepheid, DiaSorin, Hologic Panther, and Roche Cobas) on a total of 169 nasopharyngeal swabs. The LDT and Cepheid Xpert Xpress SARS-CoV-2 assays were the most sensitive assays for SARS-CoV-2 with 100% agreement across specimens. The Hologic Panther Fusion, DiaSorin Simplexa, and Roche Cobas 6800 failed to detect positive specimens only near the limit of detection of our CDC-based LDT assay. All assays were 100% specific, using our CDC-based LDT as the gold standard. Our results provide initial test performance characteristics for SARS-CoV-2 reverse transcription-PCR (RT-PCR) and highlight the importance of having multiple viral detection testing platforms available in a public health emergency.
Copyright © 2020 Lieberman et al.

Entities:  

Keywords:  COVID; COVID-19; SARS; SARS-CoV-2; comparison; coronavirus; qPCR

Mesh:

Year:  2020        PMID: 32350048      PMCID: PMC7383518          DOI: 10.1128/JCM.00821-20

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


INTRODUCTION

Since the first infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was detected in the United States in January 2020 (1), there has been an exponential growth in cases and deaths (2). At the time of this writing, the U.S. case count exceeds 600,000 with more than 30,000 deaths and considerable geographic heterogeneity (2, 3). Despite social distancing policies, the outbreak of coronavirus disease 2019 (COVID-19), the disease caused by SARS-CoV-2, continues to grow and threatens to overwhelm hospital systems in multiple states (2). The explosion of COVID-19 cases in the United States has highlighted the critical role diagnostic testing plays in medical and public health decision-making in containing and mitigating the SARS-CoV-2 pandemic. Reliable test results enable appropriate utilization of scarce hospital resources, including personal protective equipment (PPE) and negative-pressure isolation rooms, as well as public health resources for contact tracing or isolation decision-making (4). In rapid succession in March 2020, multiple assays have become available, including both FDA emergency use authorization (EUA) test platforms and laboratory-developed tests (LDTs) for use in high-complexity clinical laboratories. To solve supply chain difficulties, clinical laboratories have had to implement multiple assays using scarce reagent resources, rendering thorough comparisons challenging. A clear understanding of the analytical parameters of these options is important to help guide assay selection by clinical laboratories when supply chain considerations subside (4). Reverse transcription-PCR (RT-PCR) is the mainstay of SARS-CoV-2 detection in vitro (5). FDA EUA authorized assays for SARS-CoV-2 have mostly targeted two loci of the positive-sense, single-stranded RNA virus by real-time RT-PCR and are reported qualitatively. Our laboratory has recently reported that the CDC N2 and WHO E-gene primer/probe sets are among the most sensitive and have detected no false-positive results in our LDTs (6). FDA EUA authorized platforms use a variety of different primer/probe sets, resulting in the potential for differing analytical sensitivities. In addition to differing analytical sensitivities, commercially available platforms have important operational differences, including integrated sample extraction, run time, random access, and acceptable sample types. Here, the performances of one LDT-EUA assay developed in our clinical laboratory and four FDA-EUA cleared assays were evaluated for detection of SARS-CoV-2. The FDA-EUA cleared assays included were Hologic Panther Fusion (both research use only [RUO] and EUA versions; EUA version performed at two study sites), DiaSorin Simplexa COVID-19 Direct (EUA), Cepheid Xpert Xpress SARS-CoV-2 (EUA), and Roche Cobas 6800 (EUA). The test performance characteristics of each RT-PCR were determined compared to those of our reference LDT assay.

MATERIALS AND METHODS

Specimen collection and consensus panel selection.

Nasopharyngeal (NP) swabs (n = 169) were collected from patient specimens submitted to the University of Washington Medical Center laboratories for clinical diagnostic testing. LDT performance was validated based on detection of 20 of 20 positive specimens sent by the Washington State Public Health Laboratory in early March. Residual clinical samples were used for validation/verification of each subsequent instrument, including a common panel of 26 specimens (12 positive, 1 inconclusive, and 13 negative) tested at the University of Washington (UW) by the UW CDC EUA-based LDT (CDC LDT), DiaSorin Simplexa (positive specimens only), Roche Cobas 6800, and tested at LabCorp Seattle on the Cepheid Xpert Xpress, and Panther Fusion (12 positive specemens only). Additional residual (n = 115) specimens were tested at the UW on individual assays and compared to the reference method (LDT): Panther Fusion (RUO), n = 36; Panther Fusion (EUA)-UW, n = 20; DiaSorin Simplexa (EUA), n = 19; Cobas 6800, n = 40. Finally, 28 specimens were used to compare the SARS-CoV-2 assay on the UW Panther Fusion with the DiaSorin Simplexa assay. All same-sample comparisons were performed on specimens stored at 4°C for less than 72 h with no freeze-thaws. Inconclusive results (one of two targets detected) were considered positive due to the high specificity of all assays and limited cross-reactivity seen for SARS-CoV-2 primer sets. This work was approved under a consent waiver from the University of Washington Institutional Review Board.

Sample processing.

For the UW CDC LDT, total nucleic acid (NA) was extracted from 200 μl of viral transport medium (VTM) on the Roche MP96 and eluted in 50 μl of elution buffer. Real-time RT-PCR was set up on 5 μl of eluate using the CDC N1, N2, and RP (or Exo internal control) primers and run on ABI 7500 real-time PCR instruments as reported previously (6). For the Hologic Panther Fusion, 500 μl of VTM was transferred to lysis buffer in manufacturer-provided tubes and loaded directly on the instrument. For the DiaSorin Simplexa and Cepheid Xpert Xpress, 50 μl or 300 μl of VTM sample, respectively, was loaded directly into the reaction cartridge with integrated sample process. For the Roche Cobas 6800, 600 μl of specimen VTM was added to a barcoded secondary tube (12 by 75 mm) and loaded directly on the instrument.

RESULTS

Panther Fusion SARS-CoV-2.

The Panther Fusion SARS-CoV-2 assay was tested first as research use only (RUO) reagents (n = 36) and tested again following FDA authorization (n = 20). Both Panther Fusion RUO and EUA assays were slightly less sensitive than the CDC-based LDT, missing one positive/inconclusive sample in each sample set (Tables 1 and 2). One additional specimen was initially negative with the RUO reagents but was detected upon repeat with the Panther Fusion EUA assay. Discordant specimens were either inconclusive (one target of two detected) or had high average threshold cycles (C) (>37) by the CDC LDT test. All 29 negative specimens generated “Not detected” results by the Hologic Panther Fusion SARS-CoV-2 assay.
TABLE 1

CDC-based LDT versus Hologic Panther Fusion RUO

Sample IDCT found using the following test and primer or gene:
UW IDT
Panther fusion SARS-CoV-2 (RUO),Orf1ab/2ab
N1N2
5627.227.823.2
0726.225.522.8
4623.925.821.4
8123.82425.5
4023.823.923.7
6617.717.119.7
2624.924.627
8535.9835.833.5
8229.129.729.6
3723.122.322
7029.728.930.5
2929.428.226.3
6829.42828.3
0425.925.424.9
95353735.3
5539.239NDET
1436.3NDET35.5

All 19 CDC LDT-negative specimens were negative by Hologic Panther Fusion EUA. Abbreviations: ID, identifier; NDET, not detected.

TABLE 2

CDC-based LDT versus Hologic Panther Fusion EUA

Sample IDCT found using the following test and primer or gene:
UW IDT
Panther fusion SARS-CoV-2 (EUA), Orf1ab/2ab
N1N2
1003030.429
6720.320.819.3
7627.127.631.1
1723.423.620.5
0218.117.219.3
5929.429.831.7
9718.41718.9
5216.815.916.9
9036.138.4NDET/38.1
7938.4NDETNDET/NDET

All 10 CDC LDT-negative specimens were negative by Hologic Panther Fusion EUA. NDET, not detected.

CDC-based LDT versus Hologic Panther Fusion RUO All 19 CDC LDT-negative specimens were negative by Hologic Panther Fusion EUA. Abbreviations: ID, identifier; NDET, not detected. CDC-based LDT versus Hologic Panther Fusion EUA All 10 CDC LDT-negative specimens were negative by Hologic Panther Fusion EUA. NDET, not detected.

DiaSorin Simplexa SARS-CoV-2.

We next compared the DiaSorin Simplexa SARS-CoV-2 assay to our CDC-based LDT. All 19 specimens (11 positives and 8 negatives) demonstrated complete concordance between the two platforms (Table 3) with lower Cs recovered by the DiaSorin assay compared to the LDT on all specimens (average C difference of −2.1 [interquartile range {IQR}, −2.3 to −1.7]). When we compared SARS-CoV-2 detection on the DiaSorin Simplexa to the Hologic Panther Fusion, all 16 Hologic Panther Fusion positive specimens were detected by the DiaSorin Simplexa, while the DiaSorin Simplexa generated one additional positive result in the 12 specimens that were negative by the Hologic Panther Fusion (Table 4). This discordant specimen was detected by the CDC-based LDT with Cs of 36.8 (N1) and 35.8 (N2), confirming the DiaSorin Simplexa result.
TABLE 3

CDC-based LDT versus DiaSorin Simplexa EUA

Sample IDCT found using the following test and primer or gene:
UW IDT
UW DiaSorin
N1N2S geneORF1ab
1A Pos27.927.625.225.6
2A Pos18.619.118.018.1
3A Pos27.827.525.226.0
4A Pos28.227.625.826.5
5A Pos31.631.328.529.0
6A Pos33.934.631.031.6
7A Pos31.131.528.829.2
1C Pos34.133.931.532.1
2C Pos33.734.632.732.4
3C Pos32.432.329.830.4
4C Pos34.934.832.733.6

All eight negative specimens by UW LDT were negative by DiaSorin. Abbreviations: ID, identifier; Pos, positive.

TABLE 4

Hologic Panther Fusion EUA versus DiaSorin Simplex EUA

Sample IDCT found using the following test and gene:
Panther fusion SARS-CoV-2 (EUA), Orf1ab/2abDiaSorin
S geneORF1ab
6535.237.232.9
3833.633.734
8331.528.527.7
1330.727.227
3930.130.729.2
1029.629.128.1
5628.72726.4
3126.524.422.8
3325.424.824.4
6023.321.120.5
9222.52323.4
982118.117.3
4018.21514
2517.916.115.6
1316.715.114.3
5215.613.212.3
42*NDET31.832.7

Eleven of 12 specimens negative by Hologic Panther Fusion EUA were negative by DiaSorin. *, detected by UW CDC LDT (N1, 36.8; N2, 35.9).

CDC-based LDT versus DiaSorin Simplexa EUA All eight negative specimens by UW LDT were negative by DiaSorin. Abbreviations: ID, identifier; Pos, positive. Hologic Panther Fusion EUA versus DiaSorin Simplex EUA Eleven of 12 specimens negative by Hologic Panther Fusion EUA were negative by DiaSorin. *, detected by UW CDC LDT (N1, 36.8; N2, 35.9).

Roche Cobas SARS-CoV-2.

We next compared the Roche Cobas SARS-CoV-2 assay to our CDC LDT. All 20 negative specimens demonstrated complete concordance between the two platforms (Table 5). One of the 20 positive specimens was not detected by the Roche assay. This specimen had Cs of 38.0 (N1) and 37.4 (N2) in the LDT. Across the 20 positive specimens, Cs were only slightly higher on the Roche Cobas assay compared to the CDC-based LDT, with an average C difference of 0.6 (IQR, −0.1 to 1.5.
TABLE 5

CDC-based LDT versus Cobas 6800 SARS-CoV-2

Sample IDCT found using the following test and primer or gene:
UW IDT
UW Cobas 6800
N1N2ORF1abE gene
13626.727.626.927.2
56016.416.319.019.6
57823.824.925.426.3
75723.424.224.725.0
98220.320.921.922.2
85320.421.521.621.5
99814.615.615.916.3
33420.221.421.521.9
57118.018.917.918.2
10835.535.031.834.7
18836.435.735.437.2
59924.725.626.727.1
99525.226.426.426.8
33629.129.531.131.6
86631.331.431.132.0
23236.336.432.335.2
32328.628.729.530.7
30914.315.414.514.8
27719.721.420.420.5
01838.037.4NDETNDET

All 20 samples negative by UW LDT were negative by Cobas 6800. NDET, not detected.

CDC-based LDT versus Cobas 6800 SARS-CoV-2 All 20 samples negative by UW LDT were negative by Cobas 6800. NDET, not detected.

Five-way same-sample comparison, including Cepheid Xpert Xpress SARS-CoV-2 assay.

After performing the above pairwise comparisons, we next compared 26 specimens (13 positive, 13 negative) from another high-complexity hospital laboratory (LabCorp Seattle). All 26 specimens were also tested on the Cepheid Xpert Xpress SARS-CoV-2 assay (Table 6). All specimens with Cs of <35 on the CDC-based LDT were detected by all platforms, and all specimens not detected by the Cepheid Xpert were not detected by two other platforms examined (CDC LDT and Roche Cobas). One of 13 positive specimens was a presumptive positive on the Cepheid assay (E-gene C of 42.6, N2 gene negative); upon repeat per package insert, the N2 gene was detected at a C of 42.7 but the E gene was not detected, yielding a positive result. The CDC LDT demonstrated 100% concordance with the Cepheid Xpert Xpress, also detecting the extremely low viral load specimen above as an inconclusive (N1 C of 37.4, N2 not detected). No other assay detected SARS-CoV-2 RNA in this specimen. In addition, the DiaSorin Simplexa failed to detect a positive specimen that on repeat was detected only by the ORF1ab primer set.
TABLE 6

Same-sample comparison of five testing platforms for SARS-CoV-2

Sample IDaCT found using the following test platform(s) and primer or geneb :
UW IDT
UW DiaSorin
UW Cobas 6800
LabCorp Seattle
Xpert Xpress Sars-CoV2
Panther fusion SARS-CoV-2
N1N2S geneORF1abORF1abE geneE geneN2Orf1ab/2ab
Neg 01NDETNDETndndNDETNDETNDETNDETnd
Neg 02NDETNDETndndNDETNDETNDETNDETnd
Neg 03NDETNDETndndNDETNDETNDETNDETnd
Neg 04NDETNDETndndNDETNDETNDETNDETnd
Neg 05NDETNDETndndNDETNDETNDETNDETnd
Neg 06NDETNDETndndNDETNDETNDETNDETnd
Neg 07NDETNDETndndNDETNDETNDETNDETnd
Neg 08NDETNDETndndNDETNDETNDETNDETnd
Neg 09NDETNDETndndNDETNDETNDETNDETnd
Neg 10NDETNDETndndNDETNDETNDETNDETnd
Neg 11NDETNDETndndNDETNDETNDETNDETnd
Neg 12NDETNDETndndNDETNDETNDETNDETnd
Neg 13NDETNDETndndNDETNDETNDETNDETnd
Pos 0130.730.229.23030.531.131.733.831
Pos 0228.528.727.22829.630.529.231.629.7
Pos 0328.628.827.328.430.432.228.731.431.2
Pos 0425.224.422.423.826.126.225.425.925.2
Pos 05*35.435.6NDET/NDETNDET/34.533.636.237.637.535
Pos 0627.226.72526.926.427.326.829.526.3
Pos 0726.325.522.223.325.926.12628.124.7
Pos 0835.834.433.63331.734.135.938.536.3
Pos 091817.615.316.419.419.51819.318.6
Pos 1031.932.131.131.131.933.631.734.232.2
Pos 1131.331.328.129.230.53231.234.6nd
Pos 12*37.4NDETNDETNDETNDETNDETNDET/42.642.7/NDETNDET
Pos 1332.633.932.532.5NDET35.738.14037.1

Thirteen negative (Neg) and thirteen positive (Pos) samples were tested. The asterisk indicates that the sample was from a known positive patient in the process of clearing virus.

NDET, not detected; nd, not done.

Same-sample comparison of five testing platforms for SARS-CoV-2 Thirteen negative (Neg) and thirteen positive (Pos) samples were tested. The asterisk indicates that the sample was from a known positive patient in the process of clearing virus. NDET, not detected; nd, not done.

DISCUSSION

This analysis compared the performance characteristics of several in vitro diagnostic real-time RT-PCR assays to detect SARS-CoV-2 in high-complexity clinical laboratories in one of the early U.S. epicenters of the COVID-19 pandemic. The results demonstrated excellent performance of a CDC-based LDT and the Cepheid Xpert Xpress, concurring with a previous evaluation that demonstrated high sensitivity of the E-gene and N2 primer sets used by the Cepheid assay (6). The Panther Fusion was somewhat less sensitive than either the LDT or DiaSorin; however, the Panther Fusion detected SARS-CoV-2 RNA in one specimen that was inconclusive (one of two targets detected, thus presumed positive) by the UW CDC LDT. The Roche assay performed on the Cobas 6800 platform detected 28/30 positive samples; both of these discordant specimens had low viral titers (UW CDC LDT C of >37), and one was the inconclusive specimen. Therefore, we conclude that all the tested assays show good sensitivity for the detection of SARS-CoV-2, with the UW CDC LDT and Cepheid Xpert Xpress SARS-CoV-2 assays having the best and similar sensitivity, followed by the Roche Cobas 6800, DiaSorin Simplexa, and Panther Fusion SARS-CoV-2 assays. Our results are chiefly limited by the small sample sets used to compare these different assays as well as asynchronous comparisons that allowed only for pairwise comparisons early in the pandemic. For instance, these asynchronous panels most greatly affected our CDC LDT versus Hologic Panther Fusion comparison, which had a greater proportion of high-C positive specimens that resulted in a lower measured sensitivity for the Panther Fusion. In clinical practice, the minor differences in sensitivity are likely to have little effect on Hologic Panther Fusion SARS-CoV-2 assay performance on VTM specimens, given the C ranges we have observed in our clinical populations. Despite their limitations, these data provide a basis for differences in analytical sensitivity at different Cs that may be seen between platforms. For instance, recent reports have demonstrated a slightly higher analytical sensitivity of the Cepheid Xpert Xpress SARS-CoV-2 assay compared to the Roche Cobas SARS-CoV-2 test, and a slightly lower sensitivity of the DiaSorin Simplexa SARS-CoV-2 assay compared to a modified CDC assay, both of which are concordant with our data (7, 8). We also note that, while analytical sensitivity is of critical importance, many other considerations factor into assay platform selection, including assay availability, cost, turnaround time, and throughput. Our results provide an early assessment of performance characteristics of five separate assays for the detection of SARS-CoV-2. During March 2020, reagent availability for SARS-COV-2 RT-PCR assays was heavily constrained, necessitating more-limited assay comparisons. All platforms examined here had acceptable performance criteria for testing during the early part of this pandemic. As the supply chain for SARS-CoV-2 RT-PCR attempts to catch up with testing demand, we look forward to additional assay comparison data.
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1.  Detection of SARS-CoV-2 by Use of the Cepheid Xpert Xpress SARS-CoV-2 and Roche cobas SARS-CoV-2 Assays.

Authors:  Angelica Moran; Kathleen G Beavis; Scott M Matushek; Carol Ciaglia; Nina Francois; Vera Tesic; Nedra Love
Journal:  J Clin Microbiol       Date:  2020-07-23       Impact factor: 5.948

2.  Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR.

Authors:  Victor M Corman; Olfert Landt; Marco Kaiser; Richard Molenkamp; Adam Meijer; Daniel Kw Chu; Tobias Bleicker; Sebastian Brünink; Julia Schneider; Marie Luisa Schmidt; Daphne Gjc Mulders; Bart L Haagmans; Bas van der Veer; Sharon van den Brink; Lisa Wijsman; Gabriel Goderski; Jean-Louis Romette; Joanna Ellis; Maria Zambon; Malik Peiris; Herman Goossens; Chantal Reusken; Marion Pg Koopmans; Christian Drosten
Journal:  Euro Surveill       Date:  2020-01

3.  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

4.  Comparison of Abbott ID Now, DiaSorin Simplexa, and CDC FDA Emergency Use Authorization Methods for the Detection of SARS-CoV-2 from Nasopharyngeal and Nasal Swabs from Individuals Diagnosed with COVID-19.

Authors:  Daniel D Rhoads; Sree S Cherian; Katharine Roman; Lisa M Stempak; Christine L Schmotzer; Navid Sadri
Journal:  J Clin Microbiol       Date:  2020-07-23       Impact factor: 5.948

5.  SARS-CoV-2 Testing.

Authors:  Ahmed Babiker; Charlie W Myers; Charles E Hill; Jeannette Guarner
Journal:  Am J Clin Pathol       Date:  2020-05-05       Impact factor: 2.493

6.  Comparative Performance of SARS-CoV-2 Detection Assays Using Seven Different Primer-Probe Sets and One Assay Kit.

Authors:  Arun K Nalla; Amanda M Casto; Meei-Li W Huang; Garrett A Perchetti; Reigran Sampoleo; Lasata Shrestha; Yulun Wei; Haiying Zhu; Keith R Jerome; Alexander L Greninger
Journal:  J Clin Microbiol       Date:  2020-05-26       Impact factor: 5.948

7.  An interactive web-based dashboard to track COVID-19 in real time.

Authors:  Ensheng Dong; Hongru Du; Lauren Gardner
Journal:  Lancet Infect Dis       Date:  2020-02-19       Impact factor: 25.071

  7 in total
  87 in total

1.  Estimating the False-Positive Rate of Highly Automated SARS-CoV-2 Nucleic Acid Amplification Testing.

Authors:  Christopher M Chandler; Lori Bourassa; Patrick C Mathias; Alexander L Greninger
Journal:  J Clin Microbiol       Date:  2021-07-19       Impact factor: 5.948

Review 2.  Tools and Techniques for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/COVID-19 Detection.

Authors:  Seyed Hamid Safiabadi Tali; Jason J LeBlanc; Zubi Sadiq; Oyejide Damilola Oyewunmi; Carolina Camargo; Bahareh Nikpour; Narges Armanfard; Selena M Sagan; Sana Jahanshahi-Anbuhi
Journal:  Clin Microbiol Rev       Date:  2021-05-12       Impact factor: 26.132

3.  Disparities in Seroprevalence of SARS-CoV-2 Immunoglobulin Antibodies in a Large Midwestern Health Care System.

Authors:  Veronica Fitzpatrick; Anne Rivelli; Christopher Blair; Kenneth Copeland; Jon Richards
Journal:  Public Health Rep       Date:  2021-03-05       Impact factor: 2.792

4.  Real-life head-to-head comparison of performance of two high-throughput automated assays for detection of SARS-CoV-2 RNA in nasopharyngeal swabs: the Alinity m SARS-CoV-2 and cobas 6800 SARS-CoV-2 assays.

Authors:  Rok Kogoj; Petra Kmetič; Anja Oštrbenk Valenčak; Kristina Fujs Komloš; Katja Seme; Martin Sagadin; Miša Korva; Mario Poljak
Journal:  J Mol Diagn       Date:  2021-05-18       Impact factor: 5.568

Review 5.  Review of the Microbiological Diagnostic Approaches of COVID-19.

Authors:  Ada Melo-Vallès; Clara Ballesté-Delpierre; Jordi Vila
Journal:  Front Public Health       Date:  2021-04-27

Review 6.  Laboratory tests for the detection of SARS-CoV-2 infection: basic principles and examples.

Authors:  Khaled R Alkharsah
Journal:  Ger Med Sci       Date:  2021-05-27

7.  RT-PCR/MALDI-TOF mass spectrometry-based detection of SARS-CoV-2 in saliva specimens.

Authors:  Matthew M Hernandez; Radhika Banu; Paras Shrestha; Armi Patel; Feng Chen; Liyong Cao; Shelcie Fabre; Jessica Tan; Heidi Lopez; Numthip Chiu; Biana Shifrin; Inessa Zapolskaya; Vanessa Flores; Pui Yiu Lee; Sergio Castañeda; Juan David Ramírez; Jeffrey Jhang; Giuliana Osorio; Melissa R Gitman; Michael D Nowak; David L Reich; Carlos Cordon-Cardo; Emilia Mia Sordillo; Alberto E Paniz-Mondolfi
Journal:  J Med Virol       Date:  2021-05-19       Impact factor: 20.693

8.  Assessing the likelihood of contracting COVID-19 disease based on a predictive tree model: A retrospective cohort study.

Authors:  Francesc X Marin-Gomez; Mireia Fàbregas-Escurriola; Francesc López Seguí; Eduardo Hermosilla Pérez; Mència Benítez Camps; Jacobo Mendioroz Peña; Anna Ruiz Comellas; Josep Vidal-Alaball
Journal:  PLoS One       Date:  2021-03-03       Impact factor: 3.240

9.  Use of distinct anti-hypertensive drugs and risk for COVID-19 among hypertensive people: A population-based cohort study in Southern Catalonia, Spain.

Authors:  Angel Vila-Corcoles; Eva Satue-Gracia; Olga Ochoa-Gondar; Cristina Torrente-Fraga; Frederic Gomez-Bertomeu; Angel Vila-Rovira; Imma Hospital-Guardiola; Cinta de Diego-Cabanes; Ferran Bejarano-Romero; Dolors Rovira-Veciana; Josep Basora-Gallisa
Journal:  J Clin Hypertens (Greenwich)       Date:  2020-07-25       Impact factor: 3.738

10.  Detection of SARS-CoV-2 at the point of care.

Authors:  Michael J Loeffelholz; Yi-Wei Tang
Journal:  Bioanalysis       Date:  2021-07-22       Impact factor: 2.681

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