Literature DB >> 32796119

Clinical and laboratory evaluation of SARS-CoV-2 lateral flow assays for use in a national COVID-19 seroprevalence survey.

Barnaby Flower1,2, Jonathan C Brown3, Wendy S Barclay3, Graham S Cooke3,2, Bryony Simmons3, Maya Moshe3, Rebecca Frise3, Rebecca Penn3, Ruthiran Kugathasan3, Claire Petersen4, Anna Daunt3,4, Deborah Ashby5, Steven Riley5, Christina Joanne Atchison2,5, Graham P Taylor3, Sutha Satkunarajah6, Lenny Naar6, Robert Klaber4, Anjna Badhan3, Carolina Rosadas3, Maryam Khan3, Natalia Fernandez3, Macià Sureda-Vives7, Hannah M Cheeseman3, Jessica O'Hara3, Gianluca Fontana6, Scott J C Pallett8,9, Michael Rayment9, Rachael Jones9, Luke S P Moore9,10, Myra O McClure3, Peter Cherepanov3, Richard Tedder3, Hutan Ashrafian11, Robin Shattock3, Helen Ward2,5, Ara Darzi2,6, Paul Elliot2,12.   

Abstract

BACKGROUND: Accurate antibody tests are essential to monitor the SARS-CoV-2 pandemic. Lateral flow immunoassays (LFIAs) can deliver testing at scale. However, reported performance varies, and sensitivity analyses have generally been conducted on serum from hospitalised patients. For use in community testing, evaluation of finger-prick self-tests, in non-hospitalised individuals, is required.
METHODS: Sensitivity analysis was conducted on 276 non-hospitalised participants. All had tested positive for SARS-CoV-2 by reverse transcription PCR and were ≥21 days from symptom onset. In phase I, we evaluated five LFIAs in clinic (with finger prick) and laboratory (with blood and sera) in comparison to (1) PCR-confirmed infection and (2) presence of SARS-CoV-2 antibodies on two 'in-house' ELISAs. Specificity analysis was performed on 500 prepandemic sera. In phase II, six additional LFIAs were assessed with serum.
FINDINGS: 95% (95% CI 92.2% to 97.3%) of the infected cohort had detectable antibodies on at least one ELISA. LFIA sensitivity was variable, but significantly inferior to ELISA in 8 out of 11 assessed. Of LFIAs assessed in both clinic and laboratory, finger-prick self-test sensitivity varied from 21% to 92% versus PCR-confirmed cases and from 22% to 96% versus composite ELISA positives. Concordance between finger-prick and serum testing was at best moderate (kappa 0.56) and, at worst, slight (kappa 0.13). All LFIAs had high specificity (97.2%-99.8%).
INTERPRETATION: LFIA sensitivity and sample concordance is variable, highlighting the importance of evaluations in setting of intended use. This rigorous approach to LFIA evaluation identified a test with high specificity (98.6% (95%CI 97.1% to 99.4%)), moderate sensitivity (84.4% with finger prick (95% CI 70.5% to 93.5%)) and moderate concordance, suitable for seroprevalence surveys. © Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.

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Keywords:  clinical epidemiology; respiratory infection; viral infection

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Year:  2020        PMID: 32796119      PMCID: PMC7430184          DOI: 10.1136/thoraxjnl-2020-215732

Source DB:  PubMed          Journal:  Thorax        ISSN: 0040-6376            Impact factor:   9.102


How well do lateral flow immunoassays perform in people who do not require hospitalisation, and how does finger-prick self-testing compare with performance in the laboratory with serum or laboratory-based ELISA? Lateral flow assays are highly specific, making many of them suitable for seroprevalence surveys, but their variable sensitivity and sample concordance means they must be evaluated with both sample and operator of intended use to characterise performance. We describe a rigorous approach to lateral flow immunoassay evaluation which identified a suitable candidate for national seroprevalence survey and characterised performance in a non-hospitalised population.

Introduction

There are currently more commercially available antibody tests for SARS-CoV-2 than any other infectious disease. By May 2020, over 200 tests were available or in development.1 Accurate antibody tests are essential to monitor the COVID-19 pandemic at population level, to understand immune response and to assess individuals’ exposure and possible immunity from reinfection with SARS-CoV-2. Serology for national surveillance remains the fourth key pillar of the UK’s national testing response.2 Access to high-throughput laboratory testing to support clinical diagnosis in hospitals is improving. However, the use of serology for large-scale seroprevalence studies is limited by the need to take venous blood and transport it to centralised laboratories, as well as assay costs. Lateral flow immunoassays (LFIAs) offer the potential for relatively cheap tests that are easily distributed and can be either self-administered or performed by trained healthcare workers. However, despite manufacturers’ claims of high sensitivity and specificity, reported performance of these assays has been variable3–9 and their use is limited to date. In the UK, the Medicines and Healthcare Products Regulatory Agency (MHRA) requires that clinical sensitivity and specificity must be determined for each claimed specimen type, and that sample equivalence must be shown.10 For antibody tests intended to determine whether an individual has had the virus, the MHRA recommend a sensitivity >98% (95% CI 96% to 100%) (on a minimum of 200 known positive specimens, collected 20 days or more after symptom onset) and specificity >98% on a minimum 200 known negatives.10 To date, no LFIAs have been approved for use by these criteria. However, LFIAs with lower sensitivity can still play an important role in population seroprevalence surveys,11 in which individual results are not used to guide behaviour, provided specificity (and positive predictive value) is high. Such tests will need to have established performance characteristics for testing in primary care or community settings, including self-testing. As part of the REACT (REal Time Assessment of Community Transmission) programme,12 we assessed LFIAs for their suitability for use in large seroprevalence studies. This study addresses the key questions of how well LFIAs perform in people who do not require hospitalisation, and how finger-prick self-testing compares with laboratory testing of serum on LFIAs and ELISA.

Methods

A STARD checklist (of essential items for reporting diagnostic accuracy studies) is provided in the online supplementary section.

Patient recruitment and selection of sera

Between 1 and 29 May 2020, adult NHS workers (clinical or non-clinical), who had previously tested positive for SARS-CoV-2 by PCR, but not hospitalised, were invited to enrol into a prospective rapid antibody testing study, across four hospitals in two London NHS trusts. Participants were enrolled once they were at least 21 days from the onset of symptoms, or positive swab test (whichever was earlier). Sera for specificity testing were collected prior to August 2019 as part of the Airwaves study13 from police personnel.

Test selection

LFIAs were selected based on manufacturer’s performance data, published data, where available, and the potential for supply to large-scale seroprevalence surveys. Initially, five LFIAs were assessed, with a view to using the highest performing test in a national seroprevalence survey commencing in June 2020 (phase I). After selection of an initial candidate, further evaluation was undertaken of LFIAs to be considered for future seroprevalence surveys (phase II, ongoing). For all LFIAs, sensitivity analysis was conducted on a minimum 100 sera from the assembled cohort. LFIAs with >80% sensitivity underwent further specificity testing, and those with specificity >98% are being evaluated in clinic. Of tests included in phase I, one detected combined immunoglobulin M (IgM) and immunoglobulin (IgG) as a single band, three had separate bands for IgM and IgG, and one detected IgG only. This study set out to determine sensitivity and specificity of tests in detecting IgG antibodies to SARS-CoV-2, at least 21 days from symptom onset. For consistency, in the three kits which had separate IgM and IgG bands, only IgG was counted as a positive result (ie, ‘MG’ or ‘G’ but not ‘M’, distinct from manufacturer guidance).

Study procedure

Each participant performed one of five LFIA self-tests with finger-prick capillary blood, provided a venous blood sample for laboratory analysis, and completed a questionnaire regarding their NHS role and COVID-19 symptoms, onset and duration (see online supplementary table ii : flow of participants). Participants were asked to rate their illness as asymptomatic, mild, moderate or severe, based on its effect on daily life, and record symptoms based on multiple choice tick box response. Baseline characteristics are shown in table 1 and in the supplement.
Table 1

Baseline characteristics

All individuals (n=315)
Participant characteristics
 Age37 (29–47)
 Female, n (%)221 (71)
 Role, n (%)
 Doctor111 (36)
 Nurse or midwife114 (37)
 Other clinical51 (17)
 Non-clinical31 (10)
Comorbidities, n (%)
 Organ transplant recipient1 (0)
 Diabetes (type I or II)7 (2)
 Heart disease or heart problems6 (2)
 Hypertension20 (6)
 Overweight50 (16)
 Anaemia7 (2)
 Asthma33 (11)
 Other lung condition1 (0)
 Weakened immune3 (1)
 Depression14 (4)
 Anxiety23 (7)
 Psychiatric disorder1 (0)
 No comorbidity198 (63)
COVID-19 characteristics
 Self-assessed disease severity, n (%)
  Asymptomatic7 (2)
  Mild56 (18)
  Moderate163 (52)
  Severe, not hospitalised87 (28)
 Duration of symptoms, days13 (9–23)
 Time since symptom onset, days44 (35–53)

Results are median (IQR), unless otherwise stated. Percentages are calculated from non-missing values. Symptom feedback incomplete for two participants.

Baseline characteristics Results are median (IQR), unless otherwise stated. Percentages are calculated from non-missing values. Symptom feedback incomplete for two participants. The LFIA self-tests were performed using instructions specific to each device (see online supplementary table i) observed by a member of the study team. Results were recorded at the times specified in the product insert. Participants were asked to grade intensity of the result band(s) from 0 (negative) to 6 according to a standardised scoring system on a visual guide (see online supplementary figure ii). Invalid tests were repeated. A photograph of the completed test was emailed to the study team. The first 77 participants enrolled to the study all used the same device. Subsequent participants used different LFIAs according to the study site attended (i.e consecutive allocation). As new LFIAs became available, participants were invited for a second visit to perform an alternative LFIA. A simultaneous venous sample for laboratory analysis was taken at all visits. To assess concordance, each finger-prick self-test in the clinic was performed with the same participant’s serum in the laboratory. Test evaluations were conducted according to manufacturer’s instructions, by a technician blinded from the clinic result or patient details. Any invalid tests in the laboratory were repeated. Initially, scoring was performed independently by two individuals, but this practice ceased after inter-rater scoring was found to be almost perfect by 7-point categorical score (0–6) (kappa=0.81)14 and perfect on binary outcome (positive/negative) (online supplementary table 4). Given uncertainties over the proportion of individuals who develop antibodies with non-hospitalised disease, additional serological testing was performed with two laboratory ELISAs: spike protein ELISA (S-ELISA) and a hybrid spike protein receptor binding domain double antigen bridging assay (hybrid DABA). Both ELISAs were shown to be highly specific. Details of these methodologies and their prior specificity testing are available in the supplementary section. Sensitivity of each LFIA in clinic and laboratory was assessed versus PCR-confirmed cases, versus S-ELISA and versus hybrid DABA.

Sample size

Sample size for individual tests was calculated using exact methods for 90% power and a significance level α=0.05 (one sided). To detect an expected sensitivity of 90% with a minimal acceptable lower limit of 80%, a sample size of 124 was targeted. For specificity, a sample size of 361 is required based on an expected specificity of 98% and a lower limit of 95%.

Performance analysis

The primary outcome was the sensitivity and specificity of each rapid test. For sensitivity, tests were compared against two standards: (1) PCR-confirmed clinical disease (via swab testing) and (2) positivity in patients with either a positive S-ELISA and/or hybrid DABA in the laboratory. LFIA performance was assessed with (1) finger-prick self-testing (participant interpretation); (2) finger-prick self-testing (trained observer interpretation); and (3) serum in the laboratory. Specificity of LFIAs was evaluated against the known negative samples, with all positives counting as false positives. The analysis included all available data for the relevant outcome and are presented with the corresponding binomial exact 95% CI. Positive predictive value (PPV) and negative predictive value (NPV) are calculated for a range of population seroprevalence (from 0.1% to 20%). For the purposes of this calculation, we use LFIA sensitivity scores with serum in laboratory (rather than fingerprick) to ensure sample consistency with the prepandemic sera used for specificity analysis. For comparison of individual test performance between clinic and laboratory, we compare cases where paired results from an individual were available from both settings. We calculate sensitivities and 95% CI and test differences using the McNemar test for dependent groups. Agreement between the testing methods was assessed using the Kappa statistic. Interpretation of kappa values is as follows: <0, poor agreement; 0.00–0.20, slight agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate agreement; 0.61–0.80, substantial agreement; and >0.8, almost perfect agreement.14 All data were analysed using Stata (V.14.2, StataCorp, Texas, USA), and a p value<0.05 was considered significant.

Patient and public involvement

As part of the REACT programme, there has been extensive input into the study from a patients’ panel, identified through the Patient Experience Research Centre (PERC) of Imperial College and IPSOS/MORI. This has included feedback around study materials, methods, questionnaires and extensive usability testing of LFIAs through patient panels. User-expressed difficulties interpreting results motivated us to investigate agreement between self-reported and clinician-reported results. Usability data from this public outreach will be published in an additional study. Results of the study, once published, will be disseminated to Imperial College Healthcare NHS staff.

Results

We assessed LFIA sensitivity on sera from 276 NHS workers with confirmed SARS-CoV-2 infection at a median 44 days from symptom onset (range 21–100 days). Seventy-two per cent reported no, mild or moderate symptoms, 28% reported severe symptoms and none were hospitalised (table 1). The most common symptoms described were lethargy (78%), loss of smell (66%), fever (61%), myalgia (61%) and headache (61%) (online supplementary table iii). Less than half reported persistent cough (46%) or dyspnoea (41%). Median symptom duration was 13 days. Evidence of antibody response was found in 94.5% (95% CI 91.4% to 96.8%) sera assayed using the S-ELISA, 94.8% (95% CI 91.6% to 97.1%) on hybrid DABA, and 95.2% (95% CI 92.2% to 97.3%) using a composite of the two (table 2). Agreement between the two laboratory ELISAs was very high (online supplementary figure i). Seven of 11 LFIAs assessed with serum detected less than 85% of samples positive on either ELISA (<85% sensitivity vs laboratory standard). Four LFIAs detected >85% positive sera. The most sensitive test identified antibodies in 93% (95% CI 86.3% to 96.5%) of positive samples from composite ELISA testing.
Table 2

Results for all LFIAs analysed

Lateral flow assaySensitivitySpecificity
Sera (vs positives on S-ELISA and/or hybrid DABA)Finger-prick self-test (vs positives on S-ELISA and/or hybrid DABA)Police force sera Nov 2019 (all positives considered false)
Sensitivity95% CIn/NSensitivity95% CIn/NSpecificity95% CI n=Invalidity (n)
Phase IWONDFO (IgM/IgG combined)80%70.2 to 87.475/9422%13.1 to 33.116/7399.4%98.3 to 99.9497/5000% (0)
MENARINI (separate IgM and IgG)93%(86.3 to 96.5112/12196%84.9 to 99.543/4597.8%96.1 to 98.9489/5000.6% (3)
FORTRESS (separate IgM and IgG)88%83.3 to 91.2255/29184%70.5 to 93.538/4598.6%97.1 to 99.4493/5000.6% (3)
BIOPANDA I (separate IgM and IgG)65%56.7 to 72.2101/15667%55.5 to 76.656/8499.8%98.9 to 100.0499/5000% (0)
BIOSURE/MOLOGIC I (IgG only)71%62.2 to 77.998/13961%46.2 to 74.830/4997.2%95.3 to 98.5486/5001.6% (8)
Phase IISURE-BIOTECH (separate IgM and IgG)68%57.3 to 77.163/93
BIOSURE/MOLOGIC II (IgG only)*48%40.8 to 55.987/180
BIOPANDA II (separate IgM and IgG)82%75.7 to 86.4151/18498.4%96.5 to 99.2442/4500% (0)
BIOMERICA (separate IgM and IgG)81%74.7 to 86.4149/18497.8%96.1 to 98.9489/5000% (0)
SURESCREEN (separate IgM and IgG)88%81.8 to 91.9161/18499.8%98.9 to 100499/5000% (0)
ABBOTT (separate IgM and IgG)91%85.6 to 94.5167/18499.8%98.9 to 100499/5000% (0)
Reference assays Laboratory test vs PCR-confirmed cases
S-ELISA94.5%91.4 to 96.8293/310
RBD hybrid DABA94.8%91.6 to 97.1274/289
Composite ELISA/hybrid DABA positivity95.2%92.2 to 97.3296/311

Biosure/Mologic II was tested with 5 µL serum in phase II (in accordance with instructions provided at time). Manufacturer advises test should be performed with 10 µL serum.

DABA, Double antigen bridging assay; IgG, immunoglobulin G; IgM, immunoglobulin M; RBD, Receptor binding domain; S-ELISA, spike protein ELISA.

Results for all LFIAs analysed Biosure/Mologic II was tested with 5 µL serum in phase II (in accordance with instructions provided at time). Manufacturer advises test should be performed with 10 µL serum. DABA, Double antigen bridging assay; IgG, immunoglobulin G; IgM, immunoglobulin M; RBD, Receptor binding domain; S-ELISA, spike protein ELISA. Of the five LFIAs tested in laboratory and clinic, sensitivity of two of the tests was reduced in a clinical setting using finger-prick self-testing, giving positive results for 21.9% (95% CI 13.1% to 33.1%) (80% in laboratory) and 61.2% (95% CI 46.2% to 74.8%) (71% in laboratory) of individuals whose sera tested positive with the ELISAs (figure 1). To explore whether this discrepancy was due to sample type (serum vs blood), or influenced by test operator (participant vs laboratory technician), we also tested four of the LFIAs with whole blood in laboratory (online supplementary table iv). The least sensitive test was significantly inferior with whole blood (57.1% (95% CI 45.4% to 68.4%)) versus composite of laboratory ELISAs than with serum (79.8% (95% CI 70.2% to 87.4%)), but the other three LFIAs were broadly similar with both whole blood and serum.
Figure 1

Sensitivity of lateral flow immunoassays with (A) finger-prick (self-read), (B) finger-prick (observer read) and (C) serum in laboratory compared with (1) PCR-confirmed cases or (2) individuals testing positive with at least one of two laboratory assays (spike protein ELISA and hybrid spike protein receptor binding domain double antigen bridging assay).

Sensitivity of lateral flow immunoassays with (A) finger-prick (self-read), (B) finger-prick (observer read) and (C) serum in laboratory compared with (1) PCR-confirmed cases or (2) individuals testing positive with at least one of two laboratory assays (spike protein ELISA and hybrid spike protein receptor binding domain double antigen bridging assay). The two LFIAs that showed higher sensitivity with serum detected 95.6% (95% CI 84.9% to 99.5%) and 84.4% (95% CI 70.5% to 93.5%) composite laboratory ELISA positives from finger-prick self-testing in clinic. Findings from the matched clinic and laboratory results are presented in table 3. Concordance between LFIA performance in clinic, with finger prick, and in laboratory, with serum, on the same participants, was variable, with three tests showing ‘moderate’ agreement (kappa 0.41, 0.54, 0.56), according to Landis and Koch interpretation,14 one showing ‘fair’ agreement (kappa 0.34) and the other only ‘slight’ (kappa 0.13) (table 3). Of the tests performed in the clinic, results reported by participants were consistent with those reported by a trained observer in four out of the five LFIAs. In one LFIA, observer-read positive results were frequently reported as negative by study participants.
Table 3

Matched samples from clinic versus laboratory

WONDFOMENARINIFORTRESSBIOPANDA iBIOSURE/MOLIGIC I
Matched LFIA results between clinic and laboratory, n7647486844
Days since symptom onset, median (IQR)37 (32–47)41 (33–47)59 (49–69)44 (35–54)40 (32–49)
Sensitivity (%) against reference assays (95% CI)
Sensitivity vs PCR confirmed
 Clinic (fingerprick)21.1 (12.5 to 31.9)91.5 (79.6 to 97.6)79.2 (65.0 to 89.5)64.7 (52.2 to 75.9)56.8 (41.0 to 71.7)
 Laboratory (serum)73.7 (62.3 to 83.1)93.6 (82.5 to 98.7)87.5 (74.8 to 95.3)75.0 (63.0 to 84.7)79.5 (64.7 to 90.2)
p<0.001p=1.000p=0.219p=0.167p=0.006
 Kappa0.13 (0.03 to 0.24)0.54 (0.08 to 1.00)0.56 (0.25 to 0.86)0.34 (0.11 to 0.58)0.41 (0.16 to 0.65)
Sensitivity (%) vs S-ELISA and/or hybrid DABA
 Clinic (finger prick)21.9 (13.1 to 33.1)95.6 (84.9 to 99.5)84.4 (70.5 to 93.5)67.7 (54.9 to 78.8)60.0 (43.3 to 75.1)
 Laboratory (serum)76.7 (65.4 to 85.8)95.6 (84.9 to 99.5)93.3 (81.7 to 98.6)76.9 (64.8 to 86.5)85.0 (70.2 to 94.3)
p<0.001p=1.000p=0.219p=0.238p=0.002

Sample is individuals with only matched clinic and laboratory results for the specific LFIAs. 95% CI, 95% binomial exact CI. P value compares clinic and laboratory sensitivity using McNemar's χ2 test. Kappa is the inter-rater agreement between the self-test result and the serum test result.

hybrid DABA, hybrid spike protein receptor binding domain double antigen bridging assay; S-ELISA, spike protein ELISA.

Matched samples from clinic versus laboratory Sample is individuals with only matched clinic and laboratory results for the specific LFIAs. 95% CI, 95% binomial exact CI. P value compares clinic and laboratory sensitivity using McNemar's χ2 test. Kappa is the inter-rater agreement between the self-test result and the serum test result. hybrid DABA, hybrid spike protein receptor binding domain double antigen bridging assay; S-ELISA, spike protein ELISA. Specificity was high for all LFIAs assessed (table 2), ranging from 97.2% to 99.8% in phase I and from 97.8% to 99.8% in phase II. For the purposes of this evaluation, in the LFIAs that had separate IgM and IgG bands, IgM alone was counted as a negative result. Counting IgM alone (without IgG) as a positive result made no difference in performance for most LFIAs, with the exception of the Fortress and Biomerica. In both these tests, specificity was reduced to 96% when IgM counted as positive. PPV (probability that a positive test result is a true positive) was highest for the LFIAs with highest specificity and fell below 85% at 10% seroprevalence for two of the LFIAs tested in phase I (Menarini and Biosure/Mologic). NPV varied little between tests (online supplementary figure iv). Any invalid tests were repeated. For one LFIA, 8 out of 508 (1.6%) results were invalid, two tests had 3 out of 503 (0.6%) invalid results, and the remaining six tests had no invalid results on specificity testing (table 3).

Discussion

LFIAs offer an important tool for widespread community screening of immune responses to SARS-CoV-2. They have already been used for large regional and national seroprevalence surveys in the USA and Europe.15–17 However, to allow robust estimates of seroprevalence, a better understanding is needed of (1) the performance of LFIAs in the general population, where most infected patients have not been hospitalised (and may have lower antibody responses associated with asymptomatic or paucisymptomatic infection)18–20; (2) the performance of LFIAs in finger-prick self-testing; and (3) the reliability of LFIA user interpretation. Specificity of the rapid tests was high. For six (of nine) LFIAs assessed, specificity exceeded 98% (the minimum standard recommended by MHRA for clinical use). All had sufficient specificity to be considered for seroprevalence studies. However, all 11 LFIAs assessed (in phase I and phase II) had lower sensitivity than reported in manufacturers’ instructions, in comparison with either PCR-confirmed cases or laboratory ELISAs. Lower sensitivity than that reported by manufacturers could be explained by a number of factors. In contrast to previous studies,3 4 7 recruitment focused on non-hospitalised participants, the majority of whom did not have severe symptoms. Antibody responses in this group may be of lower titre.21 Of note, 5% of participants had no detectable antibody on either sensitive ‘in-house’ immunoassay. Therefore, positivity on these assays was used as a reference for comparison. Recruiting patients at least 21 days after symptoms may be expected to improve sensitivity.22 Median time from symptoms to recruitment here was 42 days. While it is possible that responses may be waning at this point, we did not see a difference in the mean strength of immune response in the ‘in house’ immunoassays with increasing time since symptom onset (online supplementary figure v). This provides some reassurance that antibody responses may be stable for up to 3 months, although this will be informed by emerging longitudinal data from individual patients.21 23 Instructions for all the kits in this study advise that they are suitable for use with whole blood or serum. Two of the kits additionally recommend finger-prick testing. In general, the sensitivity of tests was similar when comparing results from sera or whole blood in the laboratory with that from finger-prick blood in clinic. However, this was not uniformly the case and one test had significantly superior sensitivity with serum (80%) than with whole blood (57%) or finger prick (22%) (online supplementary table iv). Such sample discordance has also been described in other infections.24 25 Overall, there was good agreement between self-reported results and those reported by an observer. The exception was for one test which differs in its design from the other LFIAs. It has a cylindrical plastic housing surrounding the lateral flow strip within which very faint lines were common and sometimes not reported by participants. Inter-practitioner variation with this kit may have arisin because these results were not routinely read against a white card, which would normally be recommended. The data here support the use of the other tests for self-administration, and potentially others like them, if detailed instructions are provided. However, it should be noted that although many participants were healthcare workers (from a range of areas including both clinical and non-clinical staff), they may not be representative of the general population. Further work is underway to assess the tests with a study group better representing the general population. It is not possible to generalise these findings to all LFIAs, particularly as manufacturers continue to develop better assays and housings. However, these results emphasise the need to evaluate new tests in the population of intended use and demonstrate that laboratory performance cannot be assumed to be a surrogate for finger-prick testing. In summary, this study describes a systematic approach to clinical testing of commercial LFIA kits. Based on a combination of kit usability, high specificity (98.6% (95% CI 97.1% to 99.4%)), moderate sensitivity (84% with fingerprick (95% CI 70.5% to 93.5%), 88% with serum (95% CI 83.3% to 91.2%)), high PPV (87% (95% CI 76.9% to 93.5%)), moderate sample concordance (kappa 0.56 (95% CI 0.25% to 0.86%)) and availability for testing at scale, the Fortress test was selected for a further validation study in over 5000 police force personnel (REACT Study 4) and use in a large, nationally representative seroprevalence study. The REACT seroprevalence study commenced in England in June 2020. Further analysis of additional LFIAs from phase II will be used to inform subsequent rounds of seroprevalence studies, as test performance continues to improve.
  12 in total

1.  Clinical and immunological assessment of asymptomatic SARS-CoV-2 infections.

Authors:  Quan-Xin Long; Xiao-Jun Tang; Qiu-Lin Shi; Qin Li; Hai-Jun Deng; Jun Yuan; Jie-Li Hu; Wei Xu; Yong Zhang; Fa-Jin Lv; Kun Su; Fan Zhang; Jiang Gong; Bo Wu; Xia-Mao Liu; Jin-Jing Li; Jing-Fu Qiu; Juan Chen; Ai-Long Huang
Journal:  Nat Med       Date:  2020-06-18       Impact factor: 53.440

2.  Efficacy and safety of glecaprevir/pibrentasvir in patients with chronic hepatitis C virus genotype 5 or 6 infection (ENDURANCE-5,6): an open-label, multicentre, phase 3b trial.

Authors:  Tarik Asselah; Samuel S Lee; Betty B Yao; Tuan Nguyen; Florence Wong; Adam Mahomed; Seng Gee Lim; Armand Abergel; Joe Sasadeusz; Edward Gane; Neddie Zadeikis; Gretja Schnell; Zhenzhen Zhang; Ariel Porcalla; Federico J Mensa; Kinh Nguyen
Journal:  Lancet Gastroenterol Hepatol       Date:  2018-11-02

3.  Rapid roll out of SARS-CoV-2 antibody testing-a concern.

Authors:  Monique Andersson; Nicola Low; Neil French; Trisha Greenhalgh; Katie Jeffery; Andrew Brent; Jonathan Ball; Allyson Pollock; David McCoy; Miren Iturriza-Gomara; Iain Buchan; Helen Salisbury; Deenan Pillay; Will Irving
Journal:  BMJ       Date:  2020-06-24

4.  The measurement of observer agreement for categorical data.

Authors:  J R Landis; G G Koch
Journal:  Biometrics       Date:  1977-03       Impact factor: 2.571

5.  Lateral flow-based antibody testing for Chlamydia trachomatis.

Authors:  Sarah Gwyn; Alexandria Mitchell; Deborah Dean; Harran Mkocha; Sukwan Handali; Diana L Martin
Journal:  J Immunol Methods       Date:  2016-05-18       Impact factor: 2.303

6.  Antibody tests for identification of current and past infection with SARS-CoV-2.

Authors:  Jonathan J Deeks; Jacqueline Dinnes; Yemisi Takwoingi; Clare Davenport; René Spijker; Sian Taylor-Phillips; Ada Adriano; Sophie Beese; Janine Dretzke; Lavinia Ferrante di Ruffano; Isobel M Harris; Malcolm J Price; Sabine Dittrich; Devy Emperador; Lotty Hooft; Mariska Mg Leeflang; Ann Van den Bruel
Journal:  Cochrane Database Syst Rev       Date:  2020-06-25

7.  Validation of clinic-based cryptococcal antigen lateral flow assay screening in HIV-infected adults in South Africa.

Authors:  Paul K Drain; Ting Hong; Meighan Krows; Sabina Govere; Hilary Thulare; Carole L Wallis; Bernadett I Gosnell; Mahomed-Yunus Moosa; Ingrid V Bassett; Connie Celum
Journal:  Sci Rep       Date:  2019-02-25       Impact factor: 4.379

8.  Convergent antibody responses to SARS-CoV-2 in convalescent individuals.

Authors:  Davide F Robbiani; Christian Gaebler; Frauke Muecksch; Julio C C Lorenzi; Zijun Wang; Alice Cho; Marianna Agudelo; Christopher O Barnes; Anna Gazumyan; Shlomo Finkin; Thomas Hägglöf; Thiago Y Oliveira; Charlotte Viant; Arlene Hurley; Hans-Heinrich Hoffmann; Katrina G Millard; Rhonda G Kost; Melissa Cipolla; Kristie Gordon; Filippo Bianchini; Spencer T Chen; Victor Ramos; Roshni Patel; Juan Dizon; Irina Shimeliovich; Pilar Mendoza; Harald Hartweger; Lilian Nogueira; Maggi Pack; Jill Horowitz; Fabian Schmidt; Yiska Weisblum; Eleftherios Michailidis; Alison W Ashbrook; Eric Waltari; John E Pak; Kathryn E Huey-Tubman; Nicholas Koranda; Pauline R Hoffman; Anthony P West; Charles M Rice; Theodora Hatziioannou; Pamela J Bjorkman; Paul D Bieniasz; Marina Caskey; Michel C Nussenzweig
Journal:  Nature       Date:  2020-06-18       Impact factor: 69.504

9.  Distinct features of SARS-CoV-2-specific IgA response in COVID-19 patients.

Authors:  Hai-Qiong Yu; Bao-Qing Sun; Zhang-Fu Fang; Jin-Cun Zhao; Xiao-Yu Liu; Yi-Min Li; Xi-Zhuo Sun; Hong-Feng Liang; Bei Zhong; Zhi-Feng Huang; Pei-Yan Zheng; Li-Feng Tian; Hui-Qi Qu; De-Chen Liu; Er-Yi Wang; Xiao-Jun Xiao; Shi-Yue Li; Feng Ye; Li Guan; Dong-Sheng Hu; Hakon Hakonarson; Zhi-Gang Liu; Nan-Shan Zhong
Journal:  Eur Respir J       Date:  2020-08-27       Impact factor: 16.671

10.  The Airwave Health Monitoring Study of police officers and staff in Great Britain: rationale, design and methods.

Authors:  Paul Elliott; Anne-Claire Vergnaud; Deepa Singh; David Neasham; Jeanette Spear; Andy Heard
Journal:  Environ Res       Date:  2014-09-06       Impact factor: 6.498

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  40 in total

1.  Surface Functionalized Anodic Aluminum Oxide Membrane for Opto-Nanofluidic SARS-CoV-2 Genomic Target Detection.

Authors:  Megan Makela; Zhihai Lin; Pao Tai Lin
Journal:  IEEE Sens J       Date:  2021-08-31       Impact factor: 4.325

2.  Technical performance of a lateral flow immunoassay for detection of anti-SARS-CoV-2 IgG in the outpatient follow-up of non-severe cases and at different times after vaccination: comparison with enzyme and chemiluminescent immunoassays.

Authors:  Gabriel Acca Barreira; Emilly Henrique Dos Santos; Maria Fernanda Bádue Pereira; Karen Alessandra Rodrigues; Mussya Cisotto Rocha; Kelly Aparecida Kanunfre; Heloisa Helena de Sousa Marques; Thelma Suely Okay; Adriana Pasmanik Eisencraft; Alfio Rossi Junior; Alice Lima Fante; Aline Pivetta Cora; Amelia Gorete A de Costa Reis; Ana Paula Scoleze Ferrer; Anarella Penha Meirelles de Andrade; Andreia Watanabe; Angelina Maria Freire Gonçalves; Aurora Rosaria Pagliara Waetge; Camila Altenfelder Silva; Carina Ceneviva; Carolina Dos Santos Lazari; Deipara Monteiro Abellan; Ester Cerdeira Sabino; Fabíola Roberta Marim Bianchini; Flávio Ferraz de Paes Alcantara; Gabriel Frizzo Ramos; Gabriela Nunes Leal; Isadora Souza Rodriguez; João Renato Rebello Pinho; Jorge David Avaizoglou Carneiro; Jose Albino Paz; Juliana Carvalho Ferreira; Juliana Ferreira Ferranti; Juliana de Oliveira Achili Ferreira; Juliana Valéria de Souza Framil; Katia Regina da Silva; Karina Lucio de Medeiros Bastos; Karine Vusberg Galleti; Lilian Maria Cristofani; Lisa Suzuki; Lucia Maria Arruda Campos; Maria Beatriz de Moliterno Perondi; Maria de Fatima Rodrigues Diniz; Maria Fernanda Mota Fonseca; Mariana Nutti de Almeida Cordon; Mariana Pissolato; Marina Silva Peres; Marlene Pereira Garanito; Marta Imamura; Mayra de Barros Dorna; Michele Luglio; Nadia Emi Aikawa; Natalia Viu Degaspare; Neusa Keico Sakita; Nicole Lee Udsen; Paula Gobi Scudeller; Paula Vieira de Vincenzi Gaiolla; Rafael da Silva Giannasi Severini; Regina Maria Rodrigues; Ricardo Katsuya Toma; Ricardo Iunis Citrangulo de Paula; Patricia Palmeira; Silvana Forsait; Sylvia Costa Lima Farhat; Tânia Miyuki Shimoda Sakano; Vera Hermina Kalika Koch; Vilson Cobello Junior
Journal:  Rev Inst Med Trop Sao Paulo       Date:  2022-07-13       Impact factor: 2.169

3.  Nanoelectrokinetic-assisted lateral flow assay for COVID-19 antibody test.

Authors:  Cheonjung Kim; Yong Kyoung Yoo; Na Eun Lee; Junwoo Lee; Kang Hyeon Kim; Seungmin Lee; Jinhwan Kim; Seong Jun Park; Dongtak Lee; Sang Won Lee; Kyo Seon Hwang; Sung Il Han; Dongho Lee; Dae Sung Yoon; Jeong Hoon Lee
Journal:  Biosens Bioelectron       Date:  2022-05-17       Impact factor: 12.545

4.  Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody lateral flow assay for antibody prevalence studies following vaccination: a diagnostic accuracy study.

Authors:  Alexandra Cann; Candice Clarke; Jonathan Brown; Tina Thomson; Maria Prendecki; Maya Moshe; Anjna Badhan; Bryony Simmons; Bob Klaber; Paul Elliott; Ara Darzi; Steven Riley; Deborah Ashby; Paul Martin; Sarah Gleeson; Michelle Willicombe; Peter Kelleher; Helen Ward; Wendy S Barclay; Graham S Cooke
Journal:  Wellcome Open Res       Date:  2022-05-26

5.  COVID-19 infection and attributable mortality in UK care homes: cohort study using active surveillance and electronic records (March-June 2020).

Authors:  Peter F Dutey-Magni; Haydn Williams; Arnoupe Jhass; Greta Rait; Fabiana Lorencatto; Harry Hemingway; Andrew Hayward; Laura Shallcross
Journal:  Age Ageing       Date:  2021-06-28       Impact factor: 10.668

6.  The difference between IgM and IgG antibody prevalence in different serological assays for COVID-19; lessons from the examination of healthcare workers.

Authors:  Yurie Kobashi; Yuzo Shimazu; Yoshitaka Nishikawa; Takeshi Kawamura; Tatsuhiko Kodama; Daiji Obara; Masaharu Tsubokura
Journal:  Int Immunopharmacol       Date:  2020-12-30       Impact factor: 5.714

7.  Fatal SARS-CoV-2 reinfection in an immunosuppressed patient on hemodialysis.

Authors:  Diana Rodríguez-Espinosa; José Jesús Broseta Monzó; Quim Casals; Gastón J Piñeiro; Lida Rodas; Manel Vera; Francisco Maduell
Journal:  J Nephrol       Date:  2021-06-07       Impact factor: 3.902

8.  User experience analysis of AbC-19 Rapid Test via lateral flow immunoassays for self-administrated SARS-CoV-2 antibody testing.

Authors:  Min Jing; Raymond Bond; Louise J Robertson; Julie Moore; Amanda Kowalczyk; Ruth Price; William Burns; M Andrew Nesbit; James McLaughlin; Tara Moore
Journal:  Sci Rep       Date:  2021-07-07       Impact factor: 4.379

9.  Usability and Acceptability of Home-based Self-testing for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Antibodies for Population Surveillance.

Authors:  Christina Atchison; Philippa Pristerà; Emily Cooper; Vasiliki Papageorgiou; Rozlyn Redd; Maria Piggin; Barnaby Flower; Gianluca Fontana; Sutha Satkunarajah; Hutan Ashrafian; Anna Lawrence-Jones; Lenny Naar; Jennifer Chigwende; Steve Gibbard; Steven Riley; Ara Darzi; Paul Elliott; Deborah Ashby; Wendy Barclay; Graham S Cooke; Helen Ward
Journal:  Clin Infect Dis       Date:  2021-05-04       Impact factor: 9.079

10.  Accuracy of UK Rapid Test Consortium (UK-RTC) "AbC-19 Rapid Test" for detection of previous SARS-CoV-2 infection in key workers: test accuracy study.

Authors:  Ranya Mulchandani; Hayley E Jones; Sian Taylor-Phillips; Justin Shute; Keith Perry; Shabnam Jamarani; Tim Brooks; Andre Charlett; Matthew Hickman; Isabel Oliver; Stephen Kaptoge; John Danesh; Emanuele Di Angelantonio; Anthony E Ades; David H Wyllie
Journal:  BMJ       Date:  2020-11-11
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