Literature DB >> 33554362

Selecting COVID-19 convalescent plasma for neutralizing antibody potency using a high-capacity SARS-CoV-2 antibody assay.

Erin Goodhue Meyer1,2, Graham Simmons3, Phillip Williamson4, Larry J Dumont5,6,7, Eduard Grebe3,8, Michael Gannett9, Sergej Franz3, Orsolya Darst3, Clara Di Germanio3, Mars Stone3, Paul Contestable10, Alicia Prichard9, Rita Reik9, Ralph Vassallo11,12, Pampee Young1,13, Michael P Busch3,8.   

Abstract

BACKGROUND: Efficacy of COVID-19 convalescent plasma (CCP) is hypothesized to be associated with the concentration of neutralizing antibodies (nAb) to SARS-CoV-2. High capacity serologic assays detecting binding antibodies (bAb) have been developed; nAb assays are not adaptable to high-throughput testing. We sought to determine the effectiveness of using surrogate bAb signal-to-cutoff ratios (S/Co) in predicting nAb titers using a pseudovirus reporter viral particle neutralization (RVPN) assay.
METHODS: CCP donor serum collected by three US blood collectors was tested with a bAb assay (Ortho Clinical Diagnostics VITROS Anti-SARS-CoV-2 Total, CoV2T) and a nAb RVPN assay. Prediction effectiveness of various CoV2T S/Co criteria was evaluated for RVPN nAb NT50 titers using receiver operating characteristics.
RESULTS: Seven hundred and fifty-three CCPs were tested with median CoV2T S/Co and NT50 of 71.2 of 527.5. Proportions of donors with NT50 over target nAb titers were 86% ≥1:80, 76% ≥1:160, and 62% ≥1:320. Increasing CoV2T S/Co criterion reduced the sensitivity to predict NT50 titers, while specificity to identify those below increased. As target NT50 titers increase, the CoV2T assay becomes less accurate as a predictor with a decline in positive predictive value and rise in negative predictive value.
CONCLUSION: Selection of a clinically effective nAb titer will impact availability of CCP. Product release with CoV2T assay S/Co criterion must balance the risk of releasing products below target nAb titers with the cost of false negatives. A two-step testing scheme may be optimal, with nAb testing on CoV2T samples with S/Cos below criterion.
© 2021 AABB.

Entities:  

Keywords:  CCP; COVID-19; CoV2T; SARS-CoV-2; convalescent plasma; neutralizing antibody

Mesh:

Substances:

Year:  2021        PMID: 33554362      PMCID: PMC8013397          DOI: 10.1111/trf.16321

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.337


INTRODUCTION

A novel coronavirus, SARS‐CoV‐2, first identified as the causative agent of a late 2019 outbreak of atypical pneumonia in Wuhan, China, was declared a pandemic by the World Health Organization in March 2020. It is not only the high transmissibility of SARS‐CoV‐2 that made it a significant public health concern, but also the heterogeneity and seriousness of clinical manifestations in the form of COVID‐19 disease. There had been over 20 million confirmed cases worldwide and more than 5 million in the United States by August 25th. The death toll worldwide had reached in excess of 814,000, with the United States accounting for over 20% of those deaths (~177,773). Over the past 6 months, the medical and scientific communities have worked to characterize the pathologic course and determine the best treatment options for COVID‐19. Currently, viral‐specific therapies and vaccines are under development. The most specific therapeutic option currently available is an old standby: convalescent plasma (CP). On March 24, 2020, the Food and Drug Administration released a pathway for investigational new drug (IND) use of COVID‐19 convalescent plasma (CCP) for the treatment of patients suffering from severe, life‐threatening COVID‐19. Clinical use of CCP has expanded rapidly through the Mayo Clinic's Expanded Access Program (EAP), single‐patient emergency INDs, and single or multi‐center institutional INDs. Several observational studies have demonstrated clinical benefit from 1–2 unit transfusions of CCP. , , An early report for the Mayo Clinic EAP showed reduced mortality in patients who received CCP early (within 3 days of diagnosis) and a mortality benefit with higher IgG antibody levels in the transfused plasma. The safety of CCP transfusions was similar to standard plasma transfusions. A randomized controlled trial conducted in Wuhan, however, did not report improved outcomes with CCP treatment for patients with severe COVID‐19, although the study was terminated early due to a decrease in the COVID‐19 case load. The transfusion community mobilized efforts to recruit and collect CCP from recovered patients in the context of rapidly evolving FDA guidance and testing technologies. In previous outbreaks, the clinical benefit of CP was related to the dose of neutralizing antibodies in the plasma. , Neutralizing antibodies directly block viral attachment to the host cell and subsequent fusion. , A small 2018 study on the use of CP in a Middle East Respiratory Syndrome outbreak demonstrated that the neutralizing titer of the convalescent plasma should exceed 1:80 to be clinically effective. The CCP used in Duan et al.'s retrospective review of 10 patients with severe COVID‐19 and Shen et al.'s of five patients had high titers (ie. >1:640). , Despite some encouraging preliminary data, the clinical utility of CCP in COVID‐19 has not been established, and the optimal dose and types of anti‐SARS‐CoV‐2 antibodies in CCP remain uncertain. Current FDA guidance through the CCP Emergency Use Agreement (EUA) guidelines recommends high titer CCP with an S/Co of >12 with the Ortho VITROS Anti‐SARS‐CoV‐2 IgG only assay (Ortho Clinical Diagnostics, Raritan, New Jersey) which correlates to a neutralizing nAb titer of >1:250. FDA has recognized that qualification of CCP products on the basis of nAb titer is challenging, given that conventional neutralizing antibody titer assays are cell‐based, not amendable to high throughput testing, and not standardized. To that end on April 20, 2020, Creative Testing Solutions (CTS) implemented the VITROS Anti‐SARS‐CoV‐2 Total Ig assay (CoV2T, Ortho Clinical Diagnostics, Raritan, New Jersey), which had received FDA emergency use authorization (EUA) on April 3, 2020. The assay detects binding antibodies (bAb) to the S1 subunit of the SARS‐CoV‐2 spike glycoprotein. Three large blood collection organizations began using the CoV2T semiquantitative test to ascertain donor seroreactivity to qualify CCP products, although the correlation of CoV2T signal‐to‐cutoff ratio (S/Co) with SARS‐CoV‐2 nAb titers was unknown. In this study, we endeavored to determine the effectiveness of CoV2T S/CO in predicting titers of nAbs to the immunodominant S protein, measured using SARS‐CoV‐2 Reporter Viral Particle Neutralization (RVPN) assay (Vitalant Research Institute [VRI], San Francisco, CA). We evaluated the reliability of a range of CoV2T S/CO criteria for predicting nAb titer, in an effort to derive optimal testing algorithms for CCP qualification.

MATERIALS AND METHODS

We tested serum samples from 753 CCP donations collected by the American Red Cross (ARC), OneBlood, and Vitalant during April and May 2020 with both the Ortho VITROS® CoV2T serologic assay and the VRI RVPN assay.

CCP donor qualification

CCP donor collection began in early April 2020. ARC study donors were collected from 4/8/20–5/19/20, OneBlood from 3/30/2020–5/12/2020, and Vitalant from 4/12/2020–5/13/220. FDA‐mandated CCP donor qualification evolved throughout the study period due to testing availability and evolution of the pandemic in the United States. Evidence of COVID‐19 was required in the form of a documented positive SARS‐CoV‐2 molecular or serologic test, and either complete resolution of symptoms at least 28 days prior to donation or complete resolution 14 days prior to donation with negative molecular test result. All CCP donors were also required to meet traditional allogeneic blood donor criteria per the Code of Federal Regulations (21 CFR 630.10 and 630.15). At time of plasma collection, donors consented to use of de‐identified donor information and test results for research purposes. ARC collected apheresis plasma units on Alyx and Amicus devices (Fresenius Kabi USA LLC, Lake Zurich, IL). At OneBlood, whole blood plasma collection was performed using the Haemonetics Leukotrap blood collection system (Haemonetics, Braintree, Mass.). Apheresis plasma collection was performed at both OneBlood and Vitalant using Alyx devices and Trima (Terumo BCT, Lakewood, CO) apheresis systems following manufacturers' recommendations. On April 27, 2020, ARC began CCP donor qualification with the CoV2T assay. Units from donors with a signal to cutoff (S/Co) ratio ≥ 1.0 (reactive per package insert) were labeled as CCP units. Retrospective testing was accomplished for the donors collected from 4/8/2020 to 4/26/2020 from frozen serum drawn at time of collection. Vitalant began CoV2T testing on 5/6/2020 but start‐up reporting delays precluded its use as a release criterion until after 5/13/2020 with retrospective testing on previously frozen samples completed thereafter. Vitalant also used an S/Co ≥1.0 as a CCP unit release criterion. Vitalant has allowed repeat CCP donations every 7 days.

Preparation of samples

Either refrigerated serum from the routine donation testing tubes, or frozen serums from randomly selected CCP donations were sent to the CTS in St. Petersburg, Florida. Serum aliquots were prepared at CTS for CoV2T testing by individual donation. Regardless of VITROS Anti‐SARS‐CoV‐2 Total Ab reactivity status, the serums aliquots were refrozen after testing and then shipped on dry ice to Vitalant Research Institute (VRI; San Francisco, CA) for assessment of the sample's SARS‐CoV‐2 neutralization activity.

Serologic testing

VITROS Anti‐SARS‐CoV‐2 Total testing was performed following the manufacturer's package insert instructions. The VITROS CoV2T test is an antigen sandwich immunoassay designed to qualitatively detect antibody to the S1 subunit of the SARS‐CoV‐2 spike glycoprotein, including IgA, IgM, and IgG. The assay involves a two‐stage reaction, in which SARS‐CoV‐2 antibodies present in the sample initially bind with SARS‐CoV‐2 antigen coated on the test well. Any unbound sample is removed by washing. Subsequently, a horseradish peroxidase (HRP)‐labeled recombinant SARS‐CoV‐2 antigen is added. The HRP‐labeled conjugate binds specifically to anti‐SARS‐CoV‐2 already captured on the test well. Unbound conjugate is removed by a subsequent wash step. The bound HRP conjugate is then measured by a luminescent reaction. A reagent containing luminogenic substrates and an electron transfer agent are added to the test wells. The HRP in the bound conjugate catalyzes the oxidation of the luminol derivative, producing light. The electron transfer agent (a substituted acetanilide) increases the level of light produced and prolongs its emission. The light signals are read by the VITROS system. The amount of HRP conjugate bound is indicative of the amount of anti‐SARS‐CoV‐2 antibody present. Results of the test are reported as either Reactive (S/Co ≥ 1.0) or Nonreactive (S/Co < 1.0), although the S/Co can also be obtained from the system.

Neutralization testing

Study samples were tested with the SARS‐CoV‐2 Reporter Viral Particle Neutralization (RVPN) assay at VRI. Upon receipt, serum samples were plated in a 96‐well plate and heat‐inactivated (HI) for 30 min at 56°C. Reporter viral particles (RVPs) represent a safe and rapid way of quantitatively measuring neutralization, by using SARS‐CoV‐2 Spike glycoprotein pseudotyped onto a rhabdovirus reporter virus. Neutralization was performed using vesicular stomatitis virus (VSV)‐based pseudovirions (PV, D614) as previously described. Briefly, HEK293T cells were transfected with human ACE2 and TMPRSS2 by TransIT‐2020. Twenty‐four hours later, cells were plated into black 96‐well tissue culture treated plates. Four‐fold dilutions of heat inactivated serum were performed and VSV‐firefly luciferase pseudovirus harboring SARS‐CoV‐2 S (adjusted to result in 10,000–20,000 RLU in target cells), was mixed with the respective serum dilution, no serum controls and a positive and negative serum control. The mixture was incubated for 1 h at 37°C and then used to infect the transfected cells in black plates. After 24 h at 37°C, supernatant was removed, cells lysed, and luciferase activity was measured as per manufacturer's instructions (Promega, Madison, WI). Fifty percent neutralization titers (NT50) were estimated by calculating percent of no serum control and plotting non‐linear regression curves constructed in GraphPad Prism version 8.4 (GraphPad Software, San Diego, CA). Donors are considered to lack neutralizing antibodies if their titer was <40.

Statistical analysis

CoV2T sensitivity and specificity for selection of CCP at four RVPN NT50 target nAb titers (1:80, 1:160, 1:320, and 1:640) were determined by dichotomizing the RVPN titer outcomes at the S/Co criterion of interest and preparing receiver operating characteristic (ROC) analyses using a computer program (NCSS 10 Statistical Software, 2015; NCSS, LLC, Kaysville, Utah, USA). Based on the prevalence of CCP above the RVPN threshold titers, positive and negative predictive values (PPV and NPV, respectively) were calculated. Two‐stage CCP release strategies were examined at several CoV2T acceptance values by determining the proportion of CCP within an S/Co range sent for reflex RVPN that would exceed the selected nAb target (SAS 9.4, SAS Institute, Cary, NC). A non‐parametric Spearman rank correlation coefficient was performed between CoV2T and RVPN (SAS 9.4, SAS Institute, Cary, NC).

RESULTS

Donor demographics

Seven hundred and fifty‐three CCP donors were tested from three blood centers across the United States (Table 1). Median donor age was 47 years (range 15–84 years) and roughly equally distributed between males and females (48.8% female). ABO blood type frequencies were relatively consistent with previously published prevalences in the US population: group O 39.5%, group A 40.3%, group B 13.4%, and group AB 6.8%. The CCP donors were well represented across the United States hailing from 39 of the 48 continental states (Figure 1). Florida accounted for the entire CCP donor population from one blood center with the other two covering 38 states. Colorado and California had the second two highest study donor populations (16.9% and 8.9%, respectively). Several states (i.e. Rhode Island, Wyoming, Alabama, New Mexico) had only one donor representing 0.1% of the overall study population.
TABLE 1

Convalescent plasma donor demographics and summary plasma antibody test results

ARC (N = 251)Vitalant (N = 249)OneBlood (N = 253)Summary (N = 753)
Age (years) at time of Donation (median, range)43 (18–77)50 (17–77)48 (15–84)47 (15–84)
Sex (% F, M)52.4, 47.649.2, 50.844.7, 55.348.8, 51.2
ABO (%)O: 46.4O = 34.4O = 39.9O = 39.5
A: 36.8A = 40.2A = 41.5A = 40.3
B: 12.4B = 17.3B = 10.7B = 13.4
AB: 4.4AB = 8.0AB = 7.9AB = 6.8
VITROS % reactive (S/Co > 1.0)89.2%98.0%93.3%93.5%
VITROS Median (IQR)81.8 (17.6–200)82.2 (23.5–163)59.7 (18.1–117)71.2 (19.9–156)
RVPN Median (IQR)376 (127–937)732 (240–1941)604 (225–2076)528 (182–1627)
RVPN NT50 > 1:8081.7%90.0%87.4%86.3%
RVPN NT50 > 1:16067.3%81.5%80.2%76.4%
RVPN NT50 > 1:32053.8%66.7%64.4%61.6%
RVPN NT50 > 1:64033.9%52.6%48.2%44.9%
FIGURE 1

Geographic distribution of CCP donors. A total of 59.4% of CCP donors in the study were from three states: Florida, Colorado, and California

Convalescent plasma donor demographics and summary plasma antibody test results Geographic distribution of CCP donors. A total of 59.4% of CCP donors in the study were from three states: Florida, Colorado, and California The ARC samples had a slightly lower percent reactive on the VITROS CoV2T, and a lower median nAb titer in the RVPN. This may have been a consequence of the difference in collection catchments, and would be expected to change as the pandemic peak progresses around the country. This is not relevant for evaluation of the CoV2T predictive performance.

Population CoV2T and RVPN testing

The 753 CCP donors had a median CoV2T S/Co of 71.2 (IQR 19.9–156) and a median NT50 of 528 (IQR 182–1627) (Table 1). Ninety‐four percentage were reactive for CoV2T and had a neutralizing titer ≥40 with 6% “sero‐silent” with nonreactive S/Co and absence of a neutralizing titer. Figure 2 shows the distribution of study population based on CoV2T S/Co results against RVPN titers. The distribution is not normal and suggests a direct linear relationship between CoV2T and RVPN consistent with other studies. A Spearman rank correlation coefficient showed low correlation between CoV2T and RVPN (r = 0.34217, p < .0001). Truncated RVPN results beyond the assay response range are evident in Figure 2 at 1:40 and 1:10,000.
FIGURE 2

Distribution of CoV2T S/Co versus RVPN NT50. The distribution is not normal but suggests a potential direct linear correlation between the two tests. Truncated RVPN results beyond the assay response range are evident at 1:40 and 1:10,000. Slope and R2 of the regression line excluding the truncated results are y = 2.10 + 0.39x with an R2 = 0.14 [Color figure can be viewed at wileyonlinelibrary.com]

Distribution of CoV2T S/Co versus RVPN NT50. The distribution is not normal but suggests a potential direct linear correlation between the two tests. Truncated RVPN results beyond the assay response range are evident at 1:40 and 1:10,000. Slope and R2 of the regression line excluding the truncated results are y = 2.10 + 0.39x with an R2 = 0.14 [Color figure can be viewed at wileyonlinelibrary.com] Table 2 summarizes proportions of reactive CCP donations at S/Co thresholds of 1, 10, 20, 30, and 60 that yields RVPN NT50 titers meeting proposed CCP minimum potency levels. As the S/Co threshold approaches 60, the proportion of selected donors meeting candidate NT50 titers increases – with 98% of donors with S/Co ≥60 had NT50 ≥ 1:80 and 79% ≥1:320. However, at an S/CO criterion of 60, 45% of donors do not meet the S/Co criterion (Table 2), many of whom have high neutralization titers.
TABLE 2

NT50 titers at varied CoV2T thresholds

Threshold (S/co)Number (%) reactive CCP donors ≥ thresholdNumber (%) of CCP donors above NT50 threshold titer
≥1:80≥1:160≥1:320≥ 1:640
≥1704 (94%)648 (92)574 (82)463 (66)337 (48)
≥10619 (82%)585 (94)527 (85)435 (70)320 (52)
≥20564 (75%)539 (96)494 (88)411 (73)306 (55)
≥30508 (67%)492 (97)456 (90)387 (76)287 (56)
>60414 (55%)406 (98)383 (93)327 (79)246 (59)
NT50 titers at varied CoV2T thresholds The CoV2T ROCs are shown in Figure 3 for NT50 thresholds of 1:80, 1:160, 1:320, and 1:640. As the threshold nAb titer criterion increases, the performance of the CoV2T assay for selecting CCP above the threshold deteriorates (AUC 0.88, 0.82, 0.76, and 0.71). Potential CoV2T S/Co cutoffs are superimposed on the ROC illustrating how increasing the S/Co criterion results in a tradeoff effect of decreasing sensitivity (probability of a true positive selection) while decreasing the risk of a false positive selection. This is also shown in Table 3 with various combinations of CoV2T cutoff S/Co and desired CCP NT50. Based on the prevalence of NT50 greater than threshold values, the PPV and NPV for the CoV2T assay illustrate the tradeoff associated with increasing the NT50 requirement.
FIGURE 3

ROC curves for varied nAb titer thresholds. As the nAb titer increases, the ability of the S/Co to predict the nAb titer decreases. ▲:S/Co= 60 ♦:S/Co= 30 ●:S/Co= 20 ■:S/Co= 10 X:S/Co= 1 [Color figure can be viewed at wileyonlinelibrary.com]

TABLE 3

Performance of CoV2T for prediction of neutralizing antibody titers

NT50PREVALENCES/CoSensitivitySpecificityPPVNPV
Threshold≥ThresholdCriteria
800.8610.9970.4470.9190.958
1600.7610.9980.2640.8140.979
3200.6210.9980.1630.6570.979
6400.4510.9970.1130.4780.979
800.86100.9000.6700.9450.515
1600.76100.9170.4830.8510.642
3200.62100.9380.3630.7030.784
6400.45100.9470.2800.5170.866
800.86200.8320.7570.9560.417
1600.76200.8630.6070.8760.578
3200.62200.8880.4670.7280.722
6400.45200.9050.3730.5410.829
800.86300.7580.8450.9690.357
1600.76300.7950.7080.8980.516
3200.62300.8360.5810.7620.689
6400.45300.8520.4670.5660.795
800.86600.6250.9220.9810.280
1600.76600.6660.8260.9250.434
3200.62600.7050.6990.7900.596
6400.45600.7280.5950.5940.729

Note: PPV & NPV (positive and negative predictive values) are shown for the prevalence of CCP with NT50 > the indicated thresholds.

ROC curves for varied nAb titer thresholds. As the nAb titer increases, the ability of the S/Co to predict the nAb titer decreases. ▲:S/Co= 60 ♦:S/Co= 30 ●:S/Co= 20 ■:S/Co= 10 X:S/Co= 1 [Color figure can be viewed at wileyonlinelibrary.com] Performance of CoV2T for prediction of neutralizing antibody titers Note: PPV & NPV (positive and negative predictive values) are shown for the prevalence of CCP with NT50 > the indicated thresholds. We examined the effect of a two‐stage selection process for CCP donations (Figure 4): Stage 1 is a CCP rejection with S/Co < 1.0 and immediate acceptance for S/Co > acceptance criterion; Stage 2 is reflexed secondary screening for 1.0 < S/Co < acceptance criterion illustrated here as an RVPN assay. The anticipated outcome of several such threshold and acceptance criteria is shown in Table 4. For example, with an S/Co acceptance criterion of 30, 6.5% are immediately rejected with S/Co < 1.0, 67.5% are immediately accepted as CCP, and 26% are reflexed to secondary screening. With an NT50 target of 1:160, 89.8% with S/Co > 30 are anticipated to be at or above the target and 60.6% of the reflexed tested units would be releasable with RVPN NT50 > 1:160. This results in 91.7% of the final released inventory expected to exceed the NT50 target (Table S1). Approximately, 11% (78 of 704) of all tested units would not be released as CCP.
FIGURE 4

Reflex testing example ‐ S/Co= 30 as CoV2T acceptance criteria and target NT50 > 320. STAGE 1: Release as CCP with S/Co≥30 and release as FFP/FP24 with S/Co< 1.0. STAGE 2 (reflex testing): 1.0 ≤ S/Co< 30%–26% of units are tested with RVPN; 10% of total (38% of retested) units meet the target RVPN threshold [Color figure can be viewed at wileyonlinelibrary.com]

TABLE 4

CCP unit reflex testing using two‐stage method: CoV2T and RVPN

(A) STAGE 1 – Initial Screen with CoV2T
S/Co Criterion10203060

Qualified as CCP

S/Co ≥ criterion

619 (82.2%)564 (74.9%)508 (67.5%)414 (55%)

Qualified as PF24

S/Co < criterion

49 (6.5%)49 (6.5%)49 (6.5%)49 (6.5%)

Reflex Testing

1.0 ≤ S/Co < criterion

85 (11%)140 (19%)196 (26%)290 (39%)

Note: (A) STAGE 1 – Initial screen: Selects units that are immediately partitioned to FP24 or CCP based on CoV2T S/Co criterion. N (% of total). (B) STAGE 2 – Retesting: Reflexes unit in the intermediate zone to RVPN testing for partitioning based on NT50 requirements. FP24: NT50 < titer; CCP: NT50 ≥ titer; N (% of retested).

Reflex testing example ‐ S/Co= 30 as CoV2T acceptance criteria and target NT50 > 320. STAGE 1: Release as CCP with S/Co≥30 and release as FFP/FP24 with S/Co< 1.0. STAGE 2 (reflex testing): 1.0 ≤ S/Co< 30%–26% of units are tested with RVPN; 10% of total (38% of retested) units meet the target RVPN threshold [Color figure can be viewed at wileyonlinelibrary.com] CCP unit reflex testing using two‐stage method: CoV2T and RVPN Qualified as CCP S/Co ≥ criterion Qualified as PF24 S/Co < criterion Reflex Testing 1.0 ≤ S/Co < criterion Note: (A) STAGE 1 – Initial screen: Selects units that are immediately partitioned to FP24 or CCP based on CoV2T S/Co criterion. N (% of total). (B) STAGE 2 – Retesting: Reflexes unit in the intermediate zone to RVPN testing for partitioning based on NT50 requirements. FP24: NT50 < titer; CCP: NT50 ≥ titer; N (% of retested).

DISCUSSION

COVID‐19 has presented new and daunting challenges for our society worldwide. The last 6 months have seen incredible strides in public health and prevention as well as understanding of disease pathogenesis and formulation of effective treatment protocols. Viral‐specific therapy is still in development setting the stage for temporary use of an historical treatment: convalescent plasma. Initial studies using CCP have suggested efficacy particularly when used earlier in the disease course, though the most efficacious nAb titer and dose have not yet been determined. , Although bAbs may protect through multiple effector pathways, the effectiveness of passive immunotherapy is believed to be broadly proportional to the potency of the intervention as determined with nAb titers. As applied to CCP on the large‐scale experience in the US, it is not possible to provide timely screening of CCP products due to technological limitations. Therefore, it is imperative to apply high throughput bAb assays as indicators of nAb levels. We have demonstrated that the CoV2T test system, while not a perfect predictor of nAb titers, is capable of identifying donors with no Ab response. The test system also presents an S/Co readout with a large dynamic range. This output range can be exploited to provide reasonable PPV as a screening tool. For example, an S/Co criterion of 30 applied to a previously qualified CCP donor population is expected to result in 90% of CCP with NT50 ≥1:160. We further illustrated that reflex testing of CCPP in the intermediate zone of S/Co 1–30 could provide additional units at or above the desired NT50. Such an approach will permit high throughput screening for timely provision of CCP. The selection of targeted nAb titers for clinical use will significantly affect the yield and availability of CCP transfusion. Due to inherent limitations of large volume testing for neutralization titers, we present a potential reflex testing algorithm using initial high‐throughput CoV2T testing. The S/Co thresholds selected for routine product release will need to balance the risk of releasing products without the minimum target nAb titer. Organizations may consider this testing scheme or develop others to effectively select for CCP. Salazar et al showed pair‐wise Pearson correlations of 0.67 and 0.62 between IgG ELISA assays for antibodies to the Spike glycoprotein ectodomain (ECD) and receptor binding domain (RBD), respectively, with neutralization titers. Another approach that could be considered is pooling of CCP units from different donors. This would narrow the distribution of nAb titers in the CPP and take advantage of regression to the mean. In other words, the lower titer units would be balanced by the higher titer units and result in higher proportions of pooled CCP above any desired nAb titer. Regardless, any algorithm would need to effectively evaluate testing performance characteristics including sensitivity and specificity as well as PPV and NPV while correlating with clinical outcomes. Organizations will also need to consider the cost/benefit ratio of adding additional tests to algorithms. Our study did have several limitations. The SARS‐CoV‐2 RVPN detects the presence of neutralizing antibody directed against the virus, but there is still a potential that cross‐reactivity with other coronavirus species may occur. In addition, though represented in 39 different states, the study population was not entirely representative of the potential CCP donor pool within the United States which as of August 25, 2020 exceeds 124,036. , Despite being the largest published report of CCP donors to date, our population was still relatively small and collected in the early days of the pandemic. Our cross‐sectional analysis showed 94% seropositivity to both the CoV2T and the RVPN with 6% sero‐silent consistent with a recent serosurvey of recovered COVID‐19 patients. However, our testing only examined humoral response to the immune dominate S‐protein. Additional studies are necessary to examine humoral response to additional viral antigens and correlate with days from COVID‐19 symptom onset and severity of illness. Ab reactivity on the CoV2T testing system appears to be quite stable over at least 90 days (unpublished); however, other assay platforms targeting IgG‐only suggest waning for the IgG response, and possibly, nAb as well. , Waning of nAb over time when the CoV2T test presents a stable signal strength would reduce the utility of this system as a predictor of nAb and selection of CCP for transfusion. Interestingly, recent studies have shown detection of IgG to receptor binding domain of the Spike glycoprotein 90 days after symptom onset and neutralizing antibodies 75 days after symptom onset. Though not directly applicable to recent FDA EUA guidance regarding CCP unit test, the information obtained from correlating these two testing platforms and knowledge regarding antibody persistence are helpful in directing specific reflex testing for donors not meeting initial testing criteria.

CONFLICT OF INTEREST

The authors have no conflict of interest related to the content in this manuscript. Table S1 Example: Two‐stage selection process for CCP donations. Calculation of expected CCP above neutralizing antibody titer threshold for S/CO criterion = 30 and NT50 threshold = 1:160 Click here for additional data file.
  16 in total

1.  Effect of Convalescent Plasma Therapy on Time to Clinical Improvement in Patients With Severe and Life-threatening COVID-19: A Randomized Clinical Trial.

Authors:  Ling Li; Wei Zhang; Yu Hu; Xunliang Tong; Shangen Zheng; Juntao Yang; Yujie Kong; Lili Ren; Qing Wei; Heng Mei; Caiying Hu; Cuihua Tao; Ru Yang; Jue Wang; Yongpei Yu; Yong Guo; Xiaoxiong Wu; Zhihua Xu; Li Zeng; Nian Xiong; Lifeng Chen; Juan Wang; Ning Man; Yu Liu; Haixia Xu; E Deng; Xuejun Zhang; Chenyue Li; Conghui Wang; Shisheng Su; Linqi Zhang; Jianwei Wang; Yanyun Wu; Zhong Liu
Journal:  JAMA       Date:  2020-08-04       Impact factor: 56.272

2.  Challenges of convalescent plasma infusion therapy in Middle East respiratory coronavirus infection: a single centre experience.

Authors:  Jae-Hoon Ko; Hyeri Seok; Sun Young Cho; Young Eun Ha; Jin Yang Baek; So Hyun Kim; Yae-Jean Kim; Jin Kyeong Park; Chi Ryang Chung; Eun-Suk Kang; Duck Cho; Marcel A Müller; Christian Drosten; Cheol-In Kang; Doo Ryeon Chung; Jae-Hoon Song; Kyong Ran Peck
Journal:  Antivir Ther       Date:  2018-06-20

3.  Convalescent plasma anti-SARS-CoV-2 spike protein ectodomain and receptor-binding domain IgG correlate with virus neutralization.

Authors:  Eric Salazar; Suresh V Kuchipudi; Paul A Christensen; Todd Eagar; Xin Yi; Picheng Zhao; Zhicheng Jin; S Wesley Long; Randall J Olsen; Jian Chen; Brian Castillo; Christopher Leveque; Dalton Towers; Jason Lavinder; Jimmy Gollihar; Jose Cardona; Gregory Ippolito; Ruth Nissly; Ian Bird; Denver Greenawalt; Randall M Rossi; Abhinay Gontu; Sreenidhi Srinivasan; Indira Poojary; Isabella M Cattadori; Peter J Hudson; Nicole M Josleyn; Laura Prugar; Kathleen Huie; Andrew Herbert; David W Bernard; John M Dye; Vivek Kapur; James M Musser
Journal:  J Clin Invest       Date:  2020-12-01       Impact factor: 14.808

4.  Treatment of 5 Critically Ill Patients With COVID-19 With Convalescent Plasma.

Authors:  Chenguang Shen; Zhaoqin Wang; Fang Zhao; Yang Yang; Jinxiu Li; Jing Yuan; Fuxiang Wang; Delin Li; Minghui Yang; Li Xing; Jinli Wei; Haixia Xiao; Yan Yang; Jiuxin Qu; Ling Qing; Li Chen; Zhixiang Xu; Ling Peng; Yanjie Li; Haixia Zheng; Feng Chen; Kun Huang; Yujing Jiang; Dongjing Liu; Zheng Zhang; Yingxia Liu; Lei Liu
Journal:  JAMA       Date:  2020-04-28       Impact factor: 56.272

5.  Treatment of Coronavirus Disease 2019 (COVID-19) Patients with Convalescent Plasma.

Authors:  Eric Salazar; Katherine K Perez; Madiha Ashraf; Jian Chen; Brian Castillo; Paul A Christensen; Taryn Eubank; David W Bernard; Todd N Eagar; S Wesley Long; Sishir Subedi; Randall J Olsen; Christopher Leveque; Mary R Schwartz; Monisha Dey; Cheryl Chavez-East; John Rogers; Ahmed Shehabeldin; David Joseph; Guy Williams; Karen Thomas; Faisal Masud; Christina Talley; Katharine G Dlouhy; Bevin V Lopez; Curt Hampton; Jason Lavinder; Jimmy D Gollihar; Andre C Maranhao; Gregory C Ippolito; Matthew O Saavedra; Concepcion C Cantu; Prasanti Yerramilli; Layne Pruitt; James M Musser
Journal:  Am J Pathol       Date:  2020-05-27       Impact factor: 4.307

6.  SARS-CoV-2 seroprevalence and neutralizing activity in donor and patient blood.

Authors:  Dianna L Ng; Gregory M Goldgof; Brian R Shy; Andrew G Levine; Joanna Balcerek; Sagar P Bapat; John Prostko; Mary Rodgers; Kelly Coller; Sandra Pearce; Sergej Franz; Li Du; Mars Stone; Satish K Pillai; Alicia Sotomayor-Gonzalez; Venice Servellita; Claudia Sanchez San Martin; Andrea Granados; Dustin R Glasner; Lucy M Han; Kent Truong; Naomi Akagi; David N Nguyen; Neil M Neumann; Daniel Qazi; Elaine Hsu; Wei Gu; Yale A Santos; Brian Custer; Valerie Green; Phillip Williamson; Nancy K Hills; Chuanyi M Lu; Jeffrey D Whitman; Susan L Stramer; Candace Wang; Kevin Reyes; Jill M C Hakim; Kirk Sujishi; Fariba Alazzeh; Lori Pham; Edward Thornborrow; Ching-Ying Oon; Steve Miller; Theodore Kurtz; Graham Simmons; John Hackett; Michael P Busch; Charles Y Chiu
Journal:  Nat Commun       Date:  2020-09-17       Impact factor: 14.919

7.  Effectiveness of convalescent plasma therapy in severe COVID-19 patients.

Authors:  Kai Duan; Bende Liu; Cesheng Li; Huajun Zhang; Ting Yu; Jieming Qu; Min Zhou; Li Chen; Shengli Meng; Yong Hu; Cheng Peng; Mingchao Yuan; Jinyan Huang; Zejun Wang; Jianhong Yu; Xiaoxiao Gao; Dan Wang; Xiaoqi Yu; Li Li; Jiayou Zhang; Xiao Wu; Bei Li; Yanping Xu; Wei Chen; Yan Peng; Yeqin Hu; Lianzhen Lin; Xuefei Liu; Shihe Huang; Zhijun Zhou; Lianghao Zhang; Yue Wang; Zhi Zhang; Kun Deng; Zhiwu Xia; Qin Gong; Wei Zhang; Xiaobei Zheng; Ying Liu; Huichuan Yang; Dongbo Zhou; Ding Yu; Jifeng Hou; Zhengli Shi; Saijuan Chen; Zhu Chen; Xinxin Zhang; Xiaoming Yang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-06       Impact factor: 11.205

8.  Persistence and decay of human antibody responses to the receptor binding domain of SARS-CoV-2 spike protein in COVID-19 patients.

Authors:  Anita S Iyer; Forrest K Jones; Ariana Nodoushani; Jason B Harris; Richelle C Charles; Meagan Kelly; Margaret Becker; Damien Slater; Rachel Mills; Erica Teng; Mohammad Kamruzzaman; Wilfredo F Garcia-Beltran; Michael Astudillo; Diane Yang; Tyler E Miller; Elizabeth Oliver; Stephanie Fischinger; Caroline Atyeo; A John Iafrate; Stephen B Calderwood; Stephen A Lauer; Jingyou Yu; Zhenfeng Li; Jared Feldman; Blake M Hauser; Timothy M Caradonna; John A Branda; Sarah E Turbett; Regina C LaRocque; Guillaume Mellon; Dan H Barouch; Aaron G Schmidt; Andrew S Azman; Galit Alter; Edward T Ryan
Journal:  Sci Immunol       Date:  2020-10-08

9.  Longitudinal observation and decline of neutralizing antibody responses in the three months following SARS-CoV-2 infection in humans.

Authors:  Jeffrey Seow; Carl Graham; Blair Merrick; Sam Acors; Suzanne Pickering; Kathryn J A Steel; Oliver Hemmings; Aoife O'Byrne; Neophytos Kouphou; Rui Pedro Galao; Gilberto Betancor; Harry D Wilson; Adrian W Signell; Helena Winstone; Claire Kerridge; Isabella Huettner; Jose M Jimenez-Guardeño; Maria Jose Lista; Nigel Temperton; Luke B Snell; Karen Bisnauthsing; Amelia Moore; Adrian Green; Lauren Martinez; Brielle Stokes; Johanna Honey; Alba Izquierdo-Barras; Gill Arbane; Amita Patel; Mark Kia Ik Tan; Lorcan O'Connell; Geraldine O'Hara; Eithne MacMahon; Sam Douthwaite; Gaia Nebbia; Rahul Batra; Rocio Martinez-Nunez; Manu Shankar-Hari; Jonathan D Edgeworth; Stuart J D Neil; Michael H Malim; Katie J Doores
Journal:  Nat Microbiol       Date:  2020-10-26       Impact factor: 17.745

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  9 in total

1.  Convalescent plasma associates with reduced mortality and improved clinical trajectory in patients hospitalized with COVID-19.

Authors:  Shanna A Arnold Egloff; Angela Junglen; Joseph Sa Restivo; Marjorie Wongskhaluang; Casey Martin; Pratik Doshi; Daniel Schlauch; Gregg Fromell; Lindsay E Sears; Mick Correll; Howard A Burris; Charles F LeMaistre
Journal:  J Clin Invest       Date:  2021-10-15       Impact factor: 14.808

2.  Evaluation of Commercially Available High-Throughput SARS-CoV-2 Serologic Assays for Serosurveillance and Related Applications.

Authors:  Mars Stone; Eduard Grebe; Hasan Sulaeman; Clara Di Germanio; Honey Dave; Kathleen Kelly; Brad J Biggerstaff; Bridgit O Crews; Nam Tran; Keith R Jerome; Thomas N Denny; Boris Hogema; Mark Destree; Jefferson M Jones; Natalie Thornburg; Graham Simmons; Mel Krajden; Steve Kleinman; Larry J Dumont; Michael P Busch
Journal:  Emerg Infect Dis       Date:  2022-03       Impact factor: 6.883

3.  Preservation of neutralizing antibody function in COVID-19 convalescent plasma treated using a riboflavin and ultraviolet light-based pathogen reduction technology.

Authors:  Susan Yonemura; Lindsay Hartson; Taru S Dutt; Marcela Henao-Tamayo; Raymond Goodrich; Susanne Marschner
Journal:  Vox Sang       Date:  2021-04-09       Impact factor: 2.996

4.  Selecting COVID-19 convalescent plasma for neutralizing antibody potency using a high-capacity SARS-CoV-2 antibody assay.

Authors:  Erin Goodhue Meyer; Graham Simmons; Phillip Williamson; Larry J Dumont; Eduard Grebe; Michael Gannett; Sergej Franz; Orsolya Darst; Clara Di Germanio; Mars Stone; Paul Contestable; Alicia Prichard; Rita Reik; Ralph Vassallo; Pampee Young; Michael P Busch
Journal:  Transfusion       Date:  2021-02-18       Impact factor: 3.337

5.  Surrogate test performance for SARS-CoV-2 neutralizing antibodies (nAbs) for convalescent plasma (CCP): How useful could they be?

Authors:  Silvano Wendel; Roberta Fachini; Rita C L Fontão-Wendel; Ralyria Mello; Carlos Vinícius Velasquez; Rafael Rahal Guaragna Machado; Mayra Altobelli Brito; Marcelo Amaral; Camila Pereira Soares; Ruth Achkar; Patrícia Scuracchio; Sandra Cristina Miyaji; Melina Santos Erdens; Edison Luiz Durigon
Journal:  Transfusion       Date:  2021-10-27       Impact factor: 3.157

6.  Early post-infection treatment of SARS-CoV-2 infected macaques with human convalescent plasma with high neutralizing activity reduces lung inflammation.

Authors:  Koen K A Van Rompay; Katherine J Olstad; Rebecca L Sammak; Joseph Dutra; Jennifer K Watanabe; Jodie L Usachenko; Ramya Immareddy; Jamin W Roh; Anil Verma; Yashavanth Shaan Lakshmanappa; Brian A Schmidt; Clara Di Germanio; Nabeela Rizvi; Mars Stone; Graham Simmons; Larry J Dumont; A Mark Allen; Sarah Lockwood; Rachel E Pollard; Rafael Ramiro de Assis; JoAnn L Yee; Peter B Nham; Amir Ardeshir; Jesse D Deere; Jean Patterson; Aarti Jain; Philip L Felgner; Smita S Iyer; Dennis J Hartigan-O'Connor; Michael P Busch; J Rachel Reader
Journal:  bioRxiv       Date:  2021-09-01

7.  COVID-19 convalescent plasma.

Authors:  Aaron A R Tobian; Claudia S Cohn; Beth H Shaz
Journal:  Blood       Date:  2022-07-21       Impact factor: 25.476

8.  Early post-infection treatment of SARS-CoV-2 infected macaques with human convalescent plasma with high neutralizing activity had no antiviral effects but moderately reduced lung inflammation.

Authors:  Koen K A Van Rompay; Katherine J Olstad; Rebecca L Sammak; Joseph Dutra; Jennifer K Watanabe; Jodie L Usachenko; Ramya Immareddy; Jamin W Roh; Anil Verma; Yashavanth Shaan Lakshmanappa; Brian A Schmidt; Clara Di Germanio; Nabeela Rizvi; Hongwei Liu; Zhong-Min Ma; Mars Stone; Graham Simmons; Larry J Dumont; A Mark Allen; Sarah Lockwood; Rachel E Pollard; Rafael Ramiro de Assis; JoAnn L Yee; Peter B Nham; Amir Ardeshir; Jesse D Deere; Aarti Jain; Philip L Felgner; Lark L Coffey; Smita S Iyer; Dennis J Hartigan-O'Connor; Michael P Busch; J Rachel Reader
Journal:  PLoS Pathog       Date:  2022-04-20       Impact factor: 7.464

9.  Characterization of pathogen-inactivated COVID-19 convalescent plasma and responses in transfused patients.

Authors:  Maja Weisser; Nina Khanna; Anemone Hedstueck; Sarah Tschudin Sutter; Sandra Roesch; Gregor Stehle; Mihaela Sava; Nikolaus Deigendesch; Manuel Battegay; Laura Infanti; Andreas Holbro; Stefano Bassetti; Hans Pargger; Hans H Hirsch; Karoline Leuzinger; Laurent Kaiser; Diem-Lan Vu; Katharina Baur; Nadine Massaro; Michael Paul Busch; Graham Simmons; Mars Stone; Philip L Felgner; Rafael R de Assis; Saahir Khan; Cheng-Ting Tsai; Peter V Robinson; David Seftel; Johannes Irsch; Anil Bagri; Andreas S Buser; Laurence Corash
Journal:  Transfusion       Date:  2022-09-05       Impact factor: 3.337

  9 in total

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