Highlights
-
•
Head-to-head comparison of the fully-automated Elecsys® Anti-SARS-CoV-2.
-
•
With the EDITM IgM and IgG ELISAs for the detection of SARS-CoV-2 antibodies.
-
•
Antibodies were measured in COVID-19 patients, healthy blood donors and ICU patients.
-
•
Our findings indicate very high sensitivity/specificity for the Anti-SARS-CoV-2 assay.
-
•
We found acceptable agreement with the EDITM IgM and IgG ELISAs.
Keywords: COVID-19, SARS-CoV-2, ECLIA, Antibody testing, Serological test
Abstract
Background
Here, we report on a head-to-head comparison of the fully-automated Elecsys® Anti-SARS-CoV-2 immunoassay with the EDITM enzyme linked immunosorbent assays (ELISA) for the detection of SARS-CoV-2 antibodies in human plasma.
Methods
SARS-CoV-2 antibodies were measured with the Elecsys® assay and the EDITM ELISAs (IgM and IgG) in 64 SARS-CoV-2 RT-PCR confirmed COVID-19 patients with serial blood samples (n = 104) collected at different time points from symptom onset. Blood samples from 200 healthy blood donors and 256 intensive care unit (ICU) patients collected before the COVID-19 outbreak were also used.
Results
In COVID-19 patients, the percentage of positive results rose with time from symptom onset, peaking to positivity rates after 15–22 days of 100% for the Elecsys® assay, of 94% for the EDITM IgM-ELISA and of 100% for the EDITM IgG ELISA. In the 104 blood samples, the agreement between positive/negative classifications of the Elecsys® assay and the EDITM ELISAs (IgM or IgG) was 90%. The false positivity rates in the healthy blood donors and the ICU patients were < 1% for the Elecsys® assay and < 3% for the EDITM ELISAs.
Conclusions
Our results indicate a high sensitivity and specificity for the Elecsys® assay and an acceptable agreement with the EDITM ELISAs.
1. Introduction
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus that causes Coronavirus Disease 2019 (COVID-19), has recently emerged to cause a human pandemic.
Besides SARS-CoV-2 RT-PCR testing, currently the method of choice for the confirmation of suspected COVID-19 patients, serological testing is emerging as additional option in COVID-19 diagnostics [1], [2], [3], [4], [5], [6], [7], [8], [9], [10].
Recently, Roche Diagnostics (Rotkreuz, Switzerland) has launched the IVD CE-marked Elecsys® Anti-SARS-CoV-2 assay for the qualitative detection of SARS-CoV-2 antibodies on the cobas e immunoassay analyzers. The aim of this study was to compare the clinical performance of the Elecsys® Anti-SARS-CoV-2 assay with the EDITM SARS-CoV-2 IgM and IgG enzyme linked immunosorbent assays (ELISA), which we have recently established in our laboratory.
2. Materials and methods
2.1. Study protocol
This work was performed at the Konventhospital Barmherzige Brueder Linz and Ordensklinikum Linz Barmherzige Schwestern in Linz, Austria. The study protocol was approved by the local ethics committee in accordance with the Declaration of Helsinki.
2.2. Elecsys® Anti-SARS-CoV-2 assay
We measured SARS-CoV-2 antibodies fully-automated on the cobas e801 analyzer (Roche Diagnostics) using the novel Elecsys® Anti-SARS-CoV-2 electrochemiluminescence immunoassay (Roche Diagnostics, reagent lot number 49025801) for the qualitative detection of SARS-CoV-2 antibodies in human plasma. The Elecsys® assay uses a modified double-antigen sandwich immunoassay using recombinant nucleocapsid protein (N), which is geared towards the detection of late, mature, high affinity antibodies independent of the subclass. It is a total SARS-CoV-2 antibody assay (IgA, IgM, and IgG) detecting predominantly, but not exclusively, IgG. Measurement of Anti-SARS-CoV-2 was performed following the manufacturer’s instructions. Results are reported as numeric values in form of a cutoff index (COI; signal sample/cutoff) as well as in form of a qualitative results non-reactive (COI < 1.0; negative) and reactive (COI ≥ 1.0; positive).
To evaluate the precision of Elecsys® assay in our laboratory, we performed a replication study adopting the Clinical and Laboratory Standards Institute (CLSI) guideline EP5-A [11]. One negative patient plasma pool and one positive patient plasma pool were analyzed in duplicates in two runs per day for 5 days on the same cobas e801 analyzer. Within-run and total analytical imprecision (CV) was calculated with the CLSI double-run precision evaluation test [11]. The Elecsys® assay had a within-run CV of 3% and a total CV of 5% at a mean value of 0.09 COI (negative patient pool), and within-run CV of 3% and a total CV of 7% at a mean value of 7.0 COI (positive patient pool).
The detection limit for the Elecsys® assay was determined by assaying a 1:10 prediluted (with Diluent Multi Assay) negative patient plasma pool in replicates of 20 and was calculated as 3 SD added to the mean response of the diluted sample. The detection limit was 0.09 COI for the Elecsys® assay.
2.3. EDITM novel coronavirus COVID-19 IgM and IgG ELISAs
We measured SARS-CoV-2 IgM and IgG antibodies with the EDITM Novel Coronavirus COVID-19 IgM (reagent lot number P630C) and IgG (reagent lot number P621C) enzyme linked immunosorbent assay (ELISA) kits (Epitope Diagnostics Inc., San Diego, CA, USA). The EDITM IgM and IgG ELISAs are based on recombinant nucleocapsid protein (N), are IVD CE-marked, and are approved for the qualitative detection of SARS-CoV-2 IgM and IgG antibodies in human plasma. The measurement of the SARS-CoV-2 IgM and IgG antibodies was performed following the manufactureŕs instruction. The following interpretation rules of the patient results (single run) for the SARS-CoV-2 IgM and IgG assays were used: If the patient sample optical density (OD) was below the positive cutoff the result was reported negative; If the patients sample OD was equal or above the positive cutoff the patient was reported as positive. In our laboratory we found an assay imprecision of ≤ 10% for the IgM and IgG ELISAs.
2.4. Clinical comparison of the Elecsys® assay and the EDITM ELISAs (IgM and IgG)
We used both assays for the detection of anti-SARS-CoV-2 antibodies in 64 SARS-CoV-2 RT-PCR confirmed COVID-19 patients with serial blood samples (n = 104) at different time points from symptom onset (i.e. 64 patients had at least one blood draw, 28 patients had two, 9 patients had three and 3 patients had four blood draws), and in two cohorts of 200 healthy blood donors and 256 intensive care unit (ICU) patients, which were recruited prior to the COVID-19 outbreak (December 3rd 2019). For further details on the clinical study see supplementary data.
3. Results
Table 1 shows low true positivity rates of 3% for the Elecsys® assay and of 9% for the EDITM ELISAs (IgM or IgG) within the first 5 days after symptom onset in the 64 patients with SARS-CoV-2 RT-PCR confirmed COVID-19. In the COVID-19 patients, the percentage of positive results rose with time from symptom onset, peaking to positivity rates after 15–22 days of 100% for the Elecsys® assay, of 94% for the EDITM IgM-ELISA and of 100% for the EDITM IgG ELISA (Table 1). In the 104 blood samples, the overall agreement between positive/negative classifications of the Elecsys® assay and the EDITM ELISAs was 90% for IgM or IgG (Table 2 ).
Table 1.
Symptom onset | n (%) | Elecsys® assaya | EDITM IgMb | EDITM IgGb | EDITM IgM or IgGb |
---|---|---|---|---|---|
n negative (%) | n negative (%) | n negative (%) | n negative (%) | ||
n positive (%) | n positive (%) | n positive (%) | n positive (%) | ||
<5 (days) | 34 (100%) | 33 neg. (97.1%) | 32 neg. (94.1%) | 33 neg. (97.1%) | 31 neg. (91.2%) |
1 pos. (2.9%) | 2 pos. (5.9%) | 1 pos. (2.9%) | 3 pos. (8.8%) | ||
5–10 (days) | 35 (100%) | 17 neg. (48.6%) | 22 neg. (62.9%) | 22 neg. (62.9%) | 18 neg. (51.4%) |
18 pos. (51.4%) | 13 pos. (37.1%) | 13 pos. (37.1%) | 17 pos. (48.6%) | ||
>10–15 (days) | 17 (100%) | 4 neg. (23.5%) | 4 neg. (23.5%) | 3 neg. (17.6%) | 3 neg. (17.6%) |
13 pos. (76.5%) | 13 pos. (76.5%) | 14 pos. (82.4%) | 14 pos. (82.4%) | ||
>15–22 (days) | 18 (100%) | 0 neg. (0%) | 1 neg. (5.6%) | 0 neg. (0%) | 0 neg. (0%) |
18 pos. (100%) | 17 pos. (94.4%) | 18 pos. (100%) | 18 pos. (100%) |
aElecsys® assay: negative (COI < 1.0); positive (COI ≥ 1.0).
bEDITM ELISAs (IgM and IgG): negative (OD < positive cutoff); positive (OD ≥ positive cutoff).
Table 2.
EDITM IgM or IgG ELISAb negative | EDITM IgM or IgG ELISAb positive | |
---|---|---|
Elecsys® assaya negative | 48 | 6 |
Elecsys® assayapositive | 4 | 46 |
Elecsys® assay: negative (COI < 1.0); positive (COI ≥ 1.0).
EDITM ELISAs (IgM and IgG): negative (OD < positive cutoff); positive (OD ≥ positive cutoff).
The false positivity rates in the healthy blood donors and the ICU patients were < 1% for the Elecsys® assay and < 3% for the EDITM ELISAs (Table 3 ).
Table 3.
n (%) | Elecsys® assaya | EDITM IgMb | EDITM IgGb | EDITM IgM or IgGb | |
---|---|---|---|---|---|
n negative (%) | n negative (%) | n negative (%) | n negative (%) | ||
n positive (%) | n positive (%) | n positive (%) | n positive (%) | ||
Blood donors | 200 (100%) | 200 neg. (100%) | 199 neg. (99.5%) | 198 neg. (99%) | 197 neg. (98.5%) |
0 pos. (0%) | 1 pos. (0.5%) | 2 pos. (1%) | 3 pos. (1.5%) | ||
ICU patients | 256 (100%) | 255 neg. (99.6%) | 252 neg. (98.4%) | 253 neg. (98.8%) | 249 neg. (97.3%) |
1 pos. (0.4%) | 4 pos. (1.6%) | 3 pos. (1.2%) | 7 pos. (2.7%) |
aElecsys® assay: negative (COI < 1.0); positive (COI ≥ 1.0).
bEDITM ELISAs (IgM and IgG): negative (OD < positive cutoff); positive (OD ≥ positive cutoff).
In the supplementary data, we report the quantitative results of the Elecsys® assay and the EDITM ELISAs in the cohort of patients with SARS-CoV-2 RT-PCR confirmed COVID-19, in the healthy blood donors as well as in the intensive care patients (Supplementary Table 1–3).
4. Discussion
The clinical evaluation of the Elecsys® assay revealed very high true positivity rates (i.e. seroconversion rates) of 100% after 15–22 days in the confirmed COVID-19 patients. The false positivity rates of the Anti-SARS-CoV-2 assay were < 1% in the healthy blood donors and in the ICU patients.
As stated above in the method section, the Elecsys® assay has been designed at high specificity for detection of mature/late antibodies which are predominantly, but not exclusively, IgG. Overall, we found an acceptable agreement between the Elecsys® assay and the EDITM ELISAs (IgM or IgG) in the confirmed COVID-19 patients.
Of note, with the Elecsys® assay and the EDITM ELISAs, we only report antibody binding to the recombinant nuceleocapsid protein (N) and we did not perform neutralization assays in our SARS-CoV-2 RT-PCR confirmed patients. At the limit of detection we found surprisingly low CVs. We assume that these low CV’s are due to the absence of SARS-CoV-2 antibodies in the negative plasma pool. A limitation of our study might be that the plasma aliquots of the healthy blood donors and the ICU patients have been stored for a prolonged time at −80 °C.
The Elecsys® assay and the EDITM ELISAs are currently approved as qualitative assays. However, when looking at the quantitative data in Supplementary Table 1, we found a clear antibody response in SARS-CoV-2 antibody positive COVID-19 patients from < 5 days until > 15–22 days after symptom onset, indicating that these assays might be also suitable for serial measurements. In line with our findings, a very recent work on the antibody responses to SARS-CoV-2 in patients with COVID-19 demonstrated a similar approach using measured chemiluminescence values divided by the cutoff for reporting of SARS-CoV-2 antibody quantitative values/titers [8]. They further showed that serial serological testing may be helpful for the diagnosis of suspected COVID-19 patients with negative SARS-CoV-2 RT-PCR results and for the identification of asymptomatic infections in close contacts [8].
In conclusion, our results indicate a high sensitivity and specificity for the Elecsys® assay and an acceptable agreement with the EDITM ELISAs.
Research funding: Roche Diagnostics provided reagents for Elecsys® Anti-SARS-CoV-2 measurements free of charge. The company did not play a role in (1) the design of the study; (2) data collection, analysis and interpretation.
Employment or leadership: None declared.
Honoraria: Benjamin Dieplinger and Thomas Mueller have received speaking fees from Roche Diagnostics.
CRediT authorship contribution statement
Margot Egger: Conceptualization, Methodology, Formal analysis, Writing - original draft, Writing - review & editing. Christian Bundschuh: Methodology, Formal analysis, Writing - original draft, Writing - review & editing. Kurt Wiesinger: Formal analysis, Writing - review & editing. Christian Gabriel: Formal analysis, Writing - review & editing. Martin Clodi: Conceptualization, Formal analysis, Writing - original draft, Writing - review & editing. Thomas Mueller: Conceptualization, Formal analysis, Writing - original draft, Writing - review & editing. Benjamin Dieplinger: Conceptualization, Methodology, Resources, Formal analysis, Validation, Writing - original draft, Writing - review & editing.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.cca.2020.05.049.
Appendix A. Supplementary material
The following are the Supplementary data to this article:
References
- 1.Laboratory testing for coronavirus disease (COVID-19) in suspected human cases, Intermin guidance 19th March 2020; World Health Organisation.
- 2.Corman V.M., Landt O., Kaiser M., Molenkamp R., Meijer A., Chu D.K., Bleicker T., Brünink S., Schneider J., Schmidt M.L., Mulders D.G., Haagmans B.L., van der Veer B., van den Brink S., Wijsman L., Goderski G., Romette J.L., Ellis J., Zambon M., Peiris M., Goossens H., Reusken C., Koopmans M.P., Drosten C. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR. Euro Surveill. 2020;25(3) doi: 10.2807/1560-917.ES.2020.25.3. 2000045. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Chu D.K.W., Pan Y., Cheng S.M.S., Hui K.P.Y., Krishnan P., Liu Y., Ng D.Y.M., Wan C.K.C., Yang P., Wang Q., Peiris M., Poon L.L.M. Molecular diagnosis of a novel coronavirus (2019-nCoV) causing an outbreak of pneumonia. Clin. Chem. 2020;66:549–555. doi: 10.1093/clinchem/hvaa029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Patel Robin, Babady Esther, Theel Elitza S., Storch Gregory A., Pinsky Benjamin A., St. George Kirsten, Smith Tara C., Bertuzzi Stefano. Report from the American Society for Microbiology COVID-19 International Summit, 23 March 2020: Value of Diagnostic Testing for SARS–CoV-2/COVID-19. mBio. 2020;11(2) doi: 10.1128/mBio.00722-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Guo Li, Ren Lili, Yang Siyuan, Xiao Meng, Chang De, Yang Fan, Dela Cruz Charles S, Wang Yingying, Wu Chao, Xiao Yan, Zhang Lulu, Han Lianlian, Dang Shengyuan, Xu Yan, Yang Qi-Wen, Xu Sheng-Yong, Zhu Hua-Dong, Xu Ying-Chun, Jin Qi, Sharma Lokesh, Wang Linghang, Wang Jianwei. Profiling early humoral response to diagnose novel coronavirus disease (COVID-19) Clin. Infect. Dis. 2020 doi: 10.1093/cid/ciaa310. Mar 21. pii: ciaa310. doi: 10.1093/cid/ciaa310. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Zhao Juanjuan, Yuan Quan, Wang Haiyan, Liu Wei, Liao Xuejiao, Su Yingying, Wang Xin, Yuan Jing, Li Tingdong, Li Jinxiu, Qian Shen, Hong Congming, Wang Fuxiang, Liu Yingxia, Wang Zhaoqin, He Qing, Li Zhiyong, He Bin, Zhang Tianying, Fu Yang, Ge Shengxiang, Liu Lei, Zhang Jun, Xia Ningshao, Zhang Zheng. Antibody responses to SARS-CoV-2 in patients of novel coronavirus disease 2019. Clin. Infect. Dis. 2020 doi: 10.1093/cid/ciaa344. Mar 28. pii: ciaa344. doi: 10.1093/cid/ciaa344. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Yong Sarah Ee Fang, Anderson Danielle Elizabeth, Wei Wycliffe E, Pang Junxiong, Chia Wan Ni, Tan Chee Wah, Teoh Yee Leong, Rajendram Priyanka, Toh Matthias Paul Han Sim, Poh Cuiqin, Koh Valerie T J, Lum Joshua, Suhaimi Nur-Afidah Md, Chia Po Ying, Chen Mark I-Cheng, Vasoo Shawn, Ong Benjamin, Leo Yee Sin, Wang Linfa, Lee Vernon J M. Connecting clusters of COVID-19: an epidemiological and serological investigation. Lancet. Infect. Dis. 2020 doi: 10.1016/S1473-3099(20)30273-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Long Quan-Xin, Liu Bai-Zhong, Deng Hai-Jun, Wu Gui-Cheng, Deng Kun, Chen Yao-Kai, Liao Pu, Qiu Jing-Fu, Lin Yong, Cai Xue-Fei, Wang De-Qiang, Hu Yuan, Ren Ji-Hua, Tang Ni, Xu Yin-Yin, Yu Li-Hua, Mo Zhan, Gong Fang, Zhang Xiao-Li, Tian Wen-Guang, Hu Li, Zhang Xian-Xiang, Xiang Jiang-Lin, Du Hong-Xin, Liu Hua-Wen, Lang Chun-Hui, Luo Xiao-He, Wu Shao-Bo, Cui Xiao-Ping, Zhou Zheng, Zhu Man-Man, Wang Jing, Xue Cheng-Jun, Li Xiao-Feng, Wang Li, Li Zhi-Jie, Wang Kun, Niu Chang-Chun, Yang Qing-Jun, Tang Xiao-Jun, Zhang Yong, Liu Xia-Mao, Li Jin-Jing, Zhang De-Chun, Zhang Fan, Liu Ping, Yuan Jun, Li Qin, Hu Jie-Li, Chen Juan, Huang Ai-Long. Antibody responses to SARS-CoV-2 in patients with COVID-19. Nat. Med. 2020 doi: 10.1038/s41591-020-0897-1. Apr 29. doi: 10.1038/s41591-020-0897-1. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 9.Padoan Andrea, Cosma Chiara, Sciacovelli Laura, Faggian Diego, Plebani Mario. Analytical performances of a chemiluminescence immunoassay for SARS-CoV-2 IgM/IgG and antibody kinetics. Clin. Chem. Lab. Med. 2020 doi: 10.1515/cclm-2020-0443. Apr 16. pii: doi: 10.1515/cclm-2020-0443. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 10.Lippi Giuseppe, Salvagno Gian Luca, Pegoraro Manuela, Militello Valentina, Caloi Cecilia, Peretti Angelo, Gaino Stefania, Bassi Antonella, Bovo Chiara, Lo Cascio Giuliana. Assessment of immune response to SARS-CoV-2 with fully automated MAGLUMI 2019-nCoV IgG and IgM chemiluminescence immunoassays. Clin. Chem. Lab. Med. 2020 doi: 10.1515/cclm-2020-0473. Apr 16. pii: /j/cclm.ahead-of-print/cclm-2020-0473/cclm-2020-0473.xml. doi: 10.1515/cclm-2020-0473. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 11.Clinical and Laboratory Standards Institute. Evaluation of precision performance of clinical chemistry devices; approved guideline. CLSI document EP5-A. Wayne, PA: CLSI, 1999.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.