BIOPLEX 2200 ANTI-CCP KIT ON THE BIOPLEX 2200 MULTI-ANALYTE DETECTION SYSTEM
Applicant
Bio-Rad Laboratories
Product Code
NHX · Immunology
Decision Date
Aug 24, 2010
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.5775
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K093954 · Aug 24, 2010
BIOPLEX 2200 ANTI-CCP KIT ON THE BIOPLEX 2200 MULTI-ANALYTE DETECTION SYSTEM
Bio-Rad Laboratories
Commercial clinical patient serum samples
Retrospective clinical patient samples were used to evaluate the clinical sensitivity and specificity of the device and to perform method comparison against the predicate device.
Clinical Performance Evaluation; Retrospective method comparison and clinical validation
997 specimens: 300 healthy blood donors, 496 patients with Rheumatoid Arthritis (RA), and 201 patients with other rheumatic diseases.; Sample Size: 997; Number of Sites: 1
The BioPlex™ 2200 Anti-CCP Kit is a multiplex flow immunoassay intended for the semi-quantitative detection of IgG antibodies to Cyclic Citrullinated Peptide (CCP) in human serum and EDTA or heparinized plasma. Detection of CCP antibodies may be used as an aid in the diagnosis of rheumatoid arthritis and should be used in conjunction with other clinical information. The BioPlex 2200 Anti-CCP kit is intended for use with the Bio-Rad BioPlex 2200 system. The BioPlex™ 2200 Anti-CCP Calibrator Set is intended for the calibration of the BioPlex 2200 Anti-CCP Reagent Pack. The BioPlex™ 2200 Anti-CCP Control Set is intended for use as an assayed quality control to monitor the overall performance of the BioPlex 2200 instrument and BioPlex 2200 Anti-CCP Reagent Pack in the clinical laboratory. The performance of the BioPlex 2200 Anti-CCP Control Set has not been established with any other Anti-CCP assay.
Device Story
The BioPlex 2200 Anti-CCP kit is an automated multiplex flow immunoassay for detecting IgG antibodies to Cyclic Citrullinated Peptide (CCP). It uses fluorescently dyed paramagnetic beads coated with CCP antigen. Patient samples are incubated with beads; anti-human IgG conjugated to phycoerythrin is added as a reporter. The BioPlex 2200 system processes the mixture, using fluorescence to identify bead types and quantify bound antibody. Internal standard, serum verification, and reagent blank beads monitor system performance. The system calculates results in relative fluorescence intensity (RFI) and converts them to U/mL using a four-parameter logistic (4-PL) curve fit. Results are used by clinicians alongside other diagnostic findings to aid in rheumatoid arthritis diagnosis. The device is intended for professional use in clinical laboratories.
Clinical Evidence
Clinical study evaluated 997 specimens (496 RA patients, 300 healthy donors, 201 other rheumatic disease patients). Sensitivity was 83.1% (95% CI: 79.5–86.1%) and specificity was 97.8% (95% CI: 96.1–98.8%). Method comparison against predicate (n=822) showed 97.5% positive agreement and 91.4% negative agreement.
Technological Characteristics
Multiplex flow immunoassay using paramagnetic microbeads infused with fluorescent dyes. Capture antigen: second-generation CCP. Reporter: phycoerythrin-conjugated murine monoclonal anti-human IgG. Energy source: BioPlex 2200 Instrument (fluorescence detection). Connectivity: integrated with BioPlex 2200 System. Software: 4-PL logistic curve fit algorithm. Materials: glycerol and protein stabilizers.
Indications for Use
Indicated for the semi-quantitative detection of IgG antibodies to Cyclic Citrullinated Peptide (CCP) in human serum or plasma (EDTA and sodium heparin) as an aid in the diagnosis of rheumatoid arthritis in patients suspected of having the disease.
Regulatory Classification
Identification
A rheumatoid factor immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the rheumatoid factor (antibodies to immunoglobulins) in serum, other body fluids, and tissues. Measurement of rheumatoid factor may aid in the diagnosis of rheumatoid arthritis.
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k093954
B. Purpose for Submission:
New Device
C. Measurand:
Anti-cyclic citrullinated peptide (CCP) IgG autoantibodies
D. Type of Test:
Semi-quantitative multiplex flow, bead-based immunoassay
E. Applicant:
Bio-Rad Laboratories
F. Proprietary and Established Names:
BioPlex 2200 Anti-CCP Kit
G. Regulatory Information:
1. Regulation section:
21 CFR § 866.5775, Rheumatoid Factor Immunological Test System
21 CFR § 862.1150, Calibrator
21 CFR § 866.1660, Quality control material (assayed and unassayed)
2. Classification:
Class II (Device)
Class II (Calibrator)
Class I (Quality control)
3. Product codes:
NHX, Antibodies, anti-cyclic citrullinated peptide (CCP)
JIX, Calibrator, multi-analyte mixture
JJY, Multi-analyte controls, all kinds (assayed)
4. Panel:
Immunology (82)
Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
The BioPlex 2200 Anti-CCP kit is a multiplex flow immunoassay intended for the semi-quantitative detection of IgG antibodies to Cyclic Citrullinated Peptide (CCP) in human serum or plasma (EDTA and sodium heparin). Detection of CCP antibodies is used as an aid in the diagnosis of rheumatoid arthritis and should be used in conjunction with other clinical findings and laboratory results.
The BioPlex 2200 Anti-CCP kit is intended for use with the Bio-Rad BioPlex 2200 System.
The BioPlex 2200 Anti-CCP Calibrator Set is intended for calibration of the BioPlex 2200 Anti-CCP Reagent Pack.
The BioPlex 2200 Anti-CCP Control Set is intended for use as an assayed quality control to monitor the overall performance of the BioPlex 2200 Instrument and
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BioPlex Anti-CCP Reagent Pack in the clinical laboratory. The performance of the BioPlex 2200 Anti-CCP Control Set has not been established with any other immunoassays.
2. Indication(s) for use:
Same as intended use
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
BioPlex 2200 Multi-Analyte Detection System
I. Device Description:
The device components include the following: Bead Set containing dyed beads coated with Cyclic Citrullinated Peptide, Internal Standard, Serum Verification, and a Reagent Blank Bead, with glycerol and protein stabilizers; Conjugate containing phycoerythrin conjugated murine monoclonal anti-human IgG antibody and murine monoclonal anti-human FXIII antibody; Sample Diluent; Calibrator Set of 6 vials containing antibodies to Cyclic Citrullinated Peptide; Positive and Negative Controls; Sheath Fluid; Wash Solution; and the BioPlex 2200 Instrument and Software System (Instrument cleared in k041658).
J. Substantial Equivalence Information:
1. Predicate device name(s):
Axis-Shield DIASTAT Anti-CCP
2. Predicate K number(s):
k023285
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | BioPlex 2200 Anti-CCP Kit | Axis-Shield DIASTAT Anti-CCP |
| Intended Use | The BioPlex 2200 Anti-CCP kit is a multiplex flow immunoassay intended for the semi-quantitative detection of IgG antibodies to Cyclic Citrullinated Peptide (CCP) in human serum or plasma (EDTA and sodium heparin). Detection of CCP antibodies is used as an aid in the diagnosis of rheumatoid arthritis and should be used in conjunction with other clinical findings and laboratory results. | Same |
| Capture Antigen | Cyclic citrullinated peptide (CCP), second generation | Same |
| Assay Type | Semi-quantitative detection | Same |
| Analyte Detected | Human IgG antibodies to Cyclic Citrullinated Peptide | Same |
| Controls | Negative and positive controls | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Quantitation | Results are determined from a standard calibration curve utilizing a four-parameter logistic (4-PL) curve fit algorithm | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | BioPlex 2200 Anti-CCP Kit | Axis-Shield DIASTAT Anti-CCP |
| Assay Technology | Automated Multiplex flow immunoassay | Manual, microtiter plate format, Enzyme-linked Immunosorbent assay (ELISA) |
| Conjugate Antibody | Phycoerythrin conjugated murine monoclonal anti-human IgG | Alkaline phosphatase labeled murine monoclonal antibody to human IgG |
| Substrate | None | Mg+2, phenolphthalein monophosphate (PMP) |
| Specimen Type | Serum and plasma (EDTA and heparin) | Serum and plasma (EDTA, lithium heparin, and sodium citrate) |
| Signal Detection | Fluorescence | Color, read at 550 nm |
| Solid Phase | Antigen-coated paramagnetic microbead reagent. Microbeads are infused with red and infrared fluorescent dyes for bead classification. Green fluorescence from the immunoassay label is used for analyte measurement. | Antigen-coated solid phase microtiter wells |
| Calibrator | 6 levels | 5 levels |
| Calibrator Range | 0 – 300 U/mL | 0 – 100 U/mL |
| Assay Type | Semi-Quantitative assay | Semi-quantitative and qualitative assay |
| Assay Range | 0.5-300 U/mL | Up to 100 U/mL |
| Assay Cut-Off | 3.0 U/mL | 5 U/mL |
| Calibrators and Controls | Sold separately | Kit components |
K. Standard/Guidance Document Referenced (if applicable):
CLSI EP5-A, EP-7A, EP6-A, EP12-A2, EP14-A2, EP15-A2, and EP17-A
L. Test Principle:
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The BioPlex 2200 Anti-CCP kit uses multiplex flow immunoassay, a methodology similar to traditional EIA; however, this method permits simultaneous detection and identification of many antibodies in a single tube. One population of fluorescent beads is coated with streptavidin-biotinylated CCP. Three populations of fluorescent beads function as assay controls. The system combines an aliquot of patient sample, sample diluent, and bead reagent into a reaction vessel and incubates the mixture at 37°C. After a wash cycle to remove unbound antibody, the secondary conjugate containing phycoerythrin conjugated murine monoclonal anti-human IgG and phycoerythrin conjugated murine monoclonal anti-human FXIII antibody (a control) is added and the mixture is incubated at 37°C. Excess conjugate is removed in another wash cycle and the washed beads are re-suspended in wash buffer. The bead mixture then passes through the detector. The identity of the assay and control beads is determined by the fluorescence embedded in the surface of the bead and the amount of immobilized antibody is determined by the fluorescence of the anti-IgG reporter conjugate. The amount of immobilized analyte is determined by the median fluorescence intensity of the phycoerythrin reporter. Raw data are calculated in relative fluorescence intensity (RFI). The RFI is converted to U/mL using the calibration curve established by the 6 levels of BioPlex 2200 Anti-CCP Calibrators.
Three additional dyed beads, Internal Standard Bead (ISB), Serum Verification Bead (SVB) and Reagent Blank Bead (RBB) are present in each reaction mixture to verify detector response, the addition of serum or plasma to the reaction and the absence of significant non-specific binding.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Separate CLSI EP5-A2 and EP15-A2 reproducibility studies were conducted to evaluate the performance of the BioPlex2200 Anti-CCP kit on the BioPlex2200 Instrument. Results from the CLSI EP5-A2 study are shown below. Multiple lots of the peptide antigen are tested to ensure consistency of the product. To immobilize CCP, streptavidin is covalently coupled to the bead surface using carbodiimide chemistry, and then biotinylated CCP is immobilized to the streptavidin surface. Evaluation of a well-characterized sample panel is employed as a functional test to verify the integrity of the CCP antigen and functional utility of the coupled bed. Several lots of biotinylated CCP were evaluated in order to ensure that the functionality and stability criteria in the development phase were met consistently. An internal reproducibility study was also performed using four development lots in order to evaluate within run, between run, and total variation of the assay. Patient samples were evaluated in 10 and 21 replicates, respectively, on three instruments twice per day. Results are within acceptance criteria.
Per CLSI EP5-A2, three serum and plasma (EDTA and heparinized) panels composed of 10 samples each spanning the measuring range were assayed in replicate twice daily over 20 days (n=80). One positive and one negative control were included. The data were analyzed for within-run, between-run,
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between-day, and total precision and the standard deviation and percent coefficient of variation are summarized below:
| Anti-CCP Serum Panel | | | Within-Run | | Between Run | | Between Day | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | N | Mean (U/mL) | SD | % CV | SD | % CV | SD | % CV | SD | % CV |
| Negative 1 | 80 | 2.1 | 0.16 | 7.4 | 0.00 | 0.0 | 0.07 | 3.6 | 0.17 | 8.2 |
| Negative 2 | 80 | 2.0 | 0.15 | 7.5 | 0.00 | 0.0 | 0.04 | 1.9 | 0.16 | 7.8 |
| Near Cut-Off 1 | 80 | 2.8 | 0.14 | 5.2 | 0.07 | 2.5 | 0.13 | 4.7 | 0.21 | 7.5 |
| Near Cut-Off 2 | 80 | 2.8 | 0.18 | 6.4 | 0.00 | 0.0 | 0.09 | 3.3 | 0.20 | 7.2 |
| Low Positive 1 | 80 | 3.0 | 0.22 | 7.2 | 0.00 | 0.0 | 0.09 | 3.1 | 0.23 | 7.8 |
| Low Positive 2 | 80 | 3.3 | 0.17 | 5.2 | 0.11 | 3.2 | 0.10 | 3.1 | 0.23 | 6.9 |
| Positive 1 | 80 | 26.1 | 1.41 | 5.4 | 0.00 | 0.0 | 1.17 | 4.5 | 1.83 | 7.0 |
| Positive 2 | 80 | 21.0 | 1.03 | 4.9 | 0.86 | 4.1 | 0.75 | 3.6 | 1.54 | 7.3 |
| High Positive 1 | 80 | 128.5 | 8.08 | 6.3 | 0.00 | 0.0 | 2.12 | 1.6 | 8.35 | 6.5 |
| High Positive 2 | 80 | 140.7 | 8.44 | 6.0 | 4.45 | 3.2 | 0.00 | 0.0 | 9.54 | 6.8 |
| Pos. Control | 80 | 15.0 | 1.04 | 7.0 | 0.00 | 0.0 | 0.51 | 3.4 | 1.16 | 7.8 |
| Neg. Control | 80 | 0.1 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 | 0.00 | 0.0 |
| Anti-CCP EDTA Panel | | | Within Run | | Between Run | | Between Day | | Total | |
| Sample | N | Mean (U/mL) | SD | % CV | SD | % CV | SD | % CV | SD | % CV |
| Negative 1 | 80 | 2.1 | 0.14 | 6.9 | 0.07 | 3.4 | 0.11 | 5.1 | 0.19 | 9.2 |
| Negative 2 | 80 | 2.2 | 0.16 | 7.3 | 0.06 | 2.8 | 0.00 | 0.0 | 0.17 | 7.8 |
| Near Cut-Off 1 | 80 | 3.0 | 0.21 | 7.1 | 0.08 | 2.7 | 0.07 | 2.2 | 0.24 | 7.9 |
| Near Cut-Off 2 | 80 | 2.7 | 0.15 | 5.4 | 0.08 | 3.1 | 0.10 | 3.8 | 0.20 | 7.3 |
| Low Positive 1 | 80 | 3.1 | 0.20 | 6.3 | 0.00 | 0.0 | 0.11 | 3.6 | 0.22 | 7.2 |
| Low Positive 2 | 80 | 3.0 | 0.20 | 6.5 | 0.09 | 3.1 | 0.03 | 1.0 | 0.22 | 7.3 |
| Positive 1 | 80 | 22.1 | 1.02 | 4.6 | 0.60 | 2.7 | 0.30 | 1.4 | 1.22 | 5.5 |
| Positive 2 | 80 | 32.0 | 1.56 | 4.9 | 0.96 | 3.0 | 0.41 | 1.3 | 1.87 | 5.9 |
| High Positive 1 | 80 | 133.5 | 10.35 | 7.8 | 0.00 | 0.0 | 3.30 | 2.5 | 10.86 | 8.1 |
| High Positive 2 | 80 | 147.6 | 7.75 | 5.2 | 2.89 | 2.0 | 5.00 | 3.4 | 9.67 | 6.5 |
| Anti-CCP Heparin Panel | | | Within Run | | Between Run | | Between Day | | Total | |
| Sample | N | Mean (U/mL) | SD | % CV | SD | % CV | SD | % CV | SD | % CV |
| Negative 1 | 80 | 2.2 | 0.14 | 6.5 | 0.06 | 2.6 | 0.07 | 3.3 | 0.17 | 7.7 |
| Negative 2 | 80 | 2.3 | 0.15 | 6.6 | 0.07 | 3.0 | 0.04 | 1.5 | 0.17 | 7.4 |
| Near Cut-Off 1 | 80 | 2.7 | 0.16 | 5.9 | 0.05 | 1.8 | 0.05 | 1.7 | 0.17 | 6.4 |
| Near Cut-Off 2 | 80 | 2.9 | 0.19 | 6.7 | 0.10 | 3.4 | 0.10 | 3.4 | 0.24 | 8.2 |
| Low Positive 1 | 80 | 3.5 | 0.21 | 6.0 | 0.04 | 1.0 | 0.12 | 3.3 | 0.24 | 6.9 |
| Low Positive 2 | 80 | 3.7 | 0.24 | 6.5 | 0.08 | 2.1 | 0.00 | 0.0 | 0.25 | 6.8 |
| Positive 1 | 80 | 21.0 | 1.18 | 5.6 | 0.37 | 1.8 | 0.38 | 1.8 | 1.29 | 6.2 |
| Positive 2 | 80 | 23.7 | 1.55 | 6.5 | 0.41 | 1.7 | 0.37 | 1.6 | 1.65 | 6.9 |
| High Positive 1 | 80 | 126.2 | 6.28 | 5.0 | 0.00 | 0.0 | 3.26 | 2.6 | 7.08 | 5.6 |
| High Positive 2 | 80 | 132.5 | 6.57 | 5.0 | 4.27 | 3.2 | 0.00 | 0.0 | 7.84 | 5.9 |
b. Linearity/assay reportable range:
Five high anti-CCP IgG positive patient samples ranging from 240 to 314
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U/mL were tested to evaluate linearity. These samples were diluted six times with immunodepleted serum per CLSI EP06-A. Each sample and dilution was evaluated in quadruplicate using one anti-CCP IgG lot on one instrument. Linear and polynomial regression analyses of anti-CCP IgG recovery U/mL vs. sample dilution were performed to determine if the dilution curves exhibit statistically significant non-linearity. The regression parameters of the observed values vs. predicted values are shown below for three of the samples within the reportable range. The BioPlex 2200 Anti-CCP IgG assay demonstrated linearity from 0 to 300 U/mL.
| Sample (U/mL) | Slope | Intercept | r² |
| --- | --- | --- | --- |
| Sample A (270.2) | 1.0000 | -0.0011 | 0.9985 |
| Sample B (263.1) | 0.9999 | 0.0106 | 0.9990 |
| Sample C (240.9) | 1.0002 | -0.0166 | 0.9978 |
The percent difference between the observed and the predicated values from regression for each sample dilution is shown below.
| Dilution ID | Percent Sample | Percent Difference of Predicted | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | Sample 1 (270.2 U/mL) | Sample 2 (314.5 U/mL) | Sample 3 (263.1 U/mL) | Sample 4 (240.9 U/mL) | Sample 5 (314.9 U/mL) |
| 1 | 10% | 1.9 | -11.5 | 9.4 | -4.1 | -10.2 |
| 2 | 20% | 2.7 | -3.3 | 0.2 | 2.6 | -2.1 |
| 4 | 40% | 2.7 | 5.9 | -2.7 | 3.8 | 5.9 |
| 6 | 60% | 2.3 | 5.5 | -3.4 | 2.4 | 5.0 |
| 8 | 80% | -3.1 | -3.8 | 1.9 | 0.4 | -3.6 |
| 10 | 100% | 0.6 | N/A | 0.3 | -1.8 | N/A |
The BioPlex 2200 system also offers an on-board dilution feature for testing over-range samples. The dilution prior to analysis was evaluated for 1:4, 1:10 and 1:100. Three different high positive anti-CCP samples for each dilution feature were also diluted manually to compare to onboard dilution by the BioPlex 2200. All samples were assayed in replicates of ten. Results for samples diluted onboard the BioPlex 2200 were displayed as the sample result multiplied by the dilution factor. Recovery of samples diluted onboard must be within ±20% of that of the same sample diluted manually and precision (U/mL CV) must be ≤ 10%.
The results below indicated that the onboard sample dilution feature of the BioPlex 2200 system can be used to dilute over-range samples 1:4, 1:10 or 1:100 for the anti-CCP assay. Onboard values shown are the reported values
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divided by the dilution factor. The percent recovery is the percent ratio of the adjusted onboard dilution $\mathrm{U} / \mathrm{mL}$ value to the manual dilution $\mathrm{U} / \mathrm{mL}$ value.
| Dilution | Sample | Manual U/mL | Onboard U/mL | Recovery | Manual CV | Onboard CV |
| --- | --- | --- | --- | --- | --- | --- |
| 1:100 | 1 | 16 | 17 | 104% | 3.7% | 4.3% |
| | 2 | 15 | 15 | 103% | 2.9% | 3.6% |
| | 3 | 11 | 11 | 100% | 3.4% | 3.7% |
| 1:10 | 4 | 32 | 28 | 88% | 4.0% | 3.7% |
| | 5 | 27 | 24 | 90% | 2.5% | 2.9% |
| | 6 | 24 | 22 | 91% | 1.6% | 3.1% |
| 1:4 | 7 | 98 | 92 | 93% | 3.8% | 4.7% |
| | 8 | 84 | 73 | 87% | 2.7% | 3.2% |
| | 9 | 73 | 69 | 94% | 7.6% | 2.8% |
c. Traceability, Stability, Expected values (controls, calibrators, or methods): No international or certified reference material for anti-CCP IgG is available. The BioPlex 2200 Anti-CCP Calibrators are assigned relative units from predicate Axis-Shield DIASTAT Anti-CCP Calibrators. BioPlex 2200 Anti-CCP Calibrators are prepared by blending defibrinated and delipidated human plasma units with known anti-CCP IgG activity in a processed human serum matrix made from immunodepleted, defibrinated plasma. These calibrators are used to assay characterize patient samples with the BioPlex 2200 Anti-CCP IgG assay. Calibrator assignment is established from replicate analyses on multiple BioPlex 2200 instruments using a master set of calibrators and a specific lot of BioPlex 2200 Anti-CCP IgG Reagent Pack.
Both Negative and Positive Controls were made in a human serum matrix from defibrinated plasma. All antibodies are derived from human disease state plasma. The value assignment of the Control Set is derived by testing each control on three BioPlex 2200 Analyzers with at least two kit lots. For each control level, three vials are tested in replicates of five using each of the kit lots and each analyzer. This testing is performed on three analyzers for a total of 45 replicates per reagent lot. The total number of replicates for each control level is 90 when two reagent lots are used and 135 when three reagent lots are used. The mean value of the control is calculated using data from all reagent lots, and the sponsor's acceptable range of $\pm 15\%$ is based on the inter-assay precision specification of $15\%$ .
# Stability
Stability studies have been performed to determine the open vial and shelf life stability for the Control and Calibrator Sets. The claims are as follows:
Open vial stability, 60 days from first opening
Shelf life stability, 24 months
Real-time stability, 9 months (current data support 9 months but testing will
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continue for at least 30 months)
Accelerated stability, 2.5 years (current data support 2.5 years but testing will continue until all calibrator and control levels have been monitored for 30 months)
Real time and on-board kit stability of the BioPlex Anti-CCP Kit were also conducted. The minimum real-time stability specification for the kit is one year from the date of the manufacture, and the minimum on-board stability is 30 days.
d. Detection limit:
The Limit of Detection (LoD) of BioPlex 2200 Anti-CCP was determined by assaying low positive, high negative, and blank samples in replicates of 50. The LoD was calculated according to CLSI EP17-A. The samples were prepared from an anti-CCP low positive control which was then diluted in 25% increments in negative serum (IgG depleted) to a concentration level from 4.02 to 0.04 U/mL. Each dilution was assayed daily in replicates of ten for a period of five days. The calculated LoD for the anti-CCP IgG assay is 0.2 U/mL by using the equation LoD = LoB + cBSDs. The LoB (0.0000) was calculated at the 95th percentile of 50 negative samples. cB is the 95th percentile of the standard Gaussian distribution with a correction factor applied to account for the biased estimate of the population standard deviation.
e. Analytical specificity:
Interfering Substances:
An interfering substances study was conducted to evaluate the potential interference of specific endogenous and exogenous substances with the BioPlex 2200 Anti-CCP assay according to CLSI EP7-A2. Samples were prepared by blending a pool of negative human serum with samples positive for CCP IgG to achieve low positive values of 5.0 to 15.0 U/mL. Test and control samples were evaluated in alternating order in replicates of five each. This sequence was repeated twice for a total of ten replicates per interferent. Substances are considered interfering if their presence in a sample results in more than ±20% deviation in quantitation relative to the value determined in the absence of the substance. No interference was observed with any of the substances tested. The substances and the maximum levels tested are shown in the table below:
| Substance | Concentration |
| --- | --- |
| Hemoglobin | ≤ 500 mg/dL |
| Bilirubin, Unconjugated | ≤ 20 mg/dL |
| Bilirubin, Conjugated | ≤ 30 mg/dL |
| Cholesterol | ≤ 500 mg/dL |
| Red Blood Cells | ≤ 0.4% (v/v) |
| Gamma Globulin | ≤ 6 g/dL |
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9
| Substance | Concentration |
| --- | --- |
| Triglycerides | ≤ 3300 mg/dL |
| Protein (total) | ≤ 12 g/dL |
| Rheumatoid Factor | 200 IU/mL |
| Ascorbic Acid | ≤ 3 mg/dL |
| Lithium Heparin | ≤ 8000 units/dL |
| Sodium Heparin | ≤ 8000 units/dL |
| EDTA | ≤ 800 mg/dL |
## Cross-Reactivity:
A cross-reactivity study was performed to determine if samples from various disease states and other potentially interfering factors interfere with test results from the BioPlex 2200 Anti-CCP kit. Samples known to be positive for one of the potential cross reactants listed in the table below were evaluated with the BioPlex 2200 Anti-CCP assay.
A total of 163 ANA samples and 72 other samples containing potential cross reactants were evaluated by the BioPlex Anti-CCP. The following table summarizes the potential percent cross reactivity rate of the BioPlex 2200 Anti-CCP kit. Of the 163 ANA samples, some samples contained more than one analyte such as dsDNA, Chromatin, Scl-70, Sm, Centromere B, SmRNP, RiboP, SS-B, SS-A, RNP, and Jo-1.
Possible cross reactivity at 11% was observed with ANA samples, inclusive of all analytes. More specifically, Centromere B (23%) and SS-A (12%) appear to have the highest potential cross reactivity rates. Samples containing Myeloma IgG may also cross react with the BioPlex 2200 Anti-CCP kit (30%).
| Potential Cross Reactant | N | % Cross Reactivity |
| --- | --- | --- |
| ANA | 163 | 18/163 (11%) |
| dsDNA | | 2/27 (7%) |
| Chromatin | | 5/45 (11%) |
| Scl-70 | | 2/24 (8%) |
| Sm | | 2/19 (11%) |
| Centromere B* | | 7/23 (23%) |
| SmRNP | | 4/37 (11%) |
| Ribo P | | 0/9 (0%) |
| SS-B | | 0/18 (0%) |
| SS-A* | | 8/66 (12%) |
| RNP | | 3/34 (9%) |
| Jo-1 | | 0/8 (0%) |
| TPO IgG | 13 | 0/13 (0%) |
| VCA IgG | 17 | 0/17 (0%) |
| T. gondii IgG | 10 | 1/10 (10%) |
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| Potential Cross Reactant | N | % Cross Reactivity |
| --- | --- | --- |
| CMV IgG | 12 | 0/12 (0%) |
| Myeloma IgG | 10 | 3/10 (30%) |
| Lyme IgG | 10 | 0/10 (0%) |
* Anti-CCP antibodies have been documented in patients with primary Sjögren’s Syndrome (See references below).
Reference:
1. Atzeni, F., et al., Anti-cyclic citrullinated peptide antibodies in primary Sjögren’s Syndrome may be associated with non-erosive synovitis. Arthritis Research & Therapy 2008. 10(3):R51
2. Zendman, A.J.W., et al., Use and significance of anti-CCP autoantibodies in rheumatoid arthritis. Rheumatology 2006. 45:20-25. (review article)
3. Nakamura H., et al., Anti-centromere antibody-seropositive Sjögren’s Syndrome differs from conventional subgroup in clinical and pathological study. BMC Musculoskeletal Disorders, 2010. 11:140.
Hook effect:
Not applicable
f. Assay cut-off:
The cutoff value and assignment of the calibrators are determined by performing concordance testing and Receiver Operator Characteristic (ROC) analysis, using predicate results as the standard.
A total of 1394 patient samples including 177 normal patients, 504 patients with either Rheumatoid Factor (RF) tested or positive, 82 older patients (age >70), 287 Rheumatoid Arthritis (RA) diagnosed patients and 344 non-RA patients were evaluated to determine the anti-CCP IgG assay cutoff. All samples were confirmed positive or negative by the Axis-Shield DIASTAT anti-CCP predicate assay. A cutoff of 3.0 U/mL was obtained to achieve the percent positive and negative agreement at 92.9% and 98.2%, respectively. These patient samples were not reused for any other study.
2. Comparison studies:
a. Method comparison with predicate device:
Performance of the BioPlex 2200 Anti-CCP kit was evaluated against predicate device, Axis-Shield DIASTAT Anti-CCP immunoassay. A total of 997 specimens: 300 apparently healthy blood donors, 496 patients previously diagnosed with Rheumatoid Arthritis (RA), and 201 patients with other rheumatic disease were tested at one clinical site.
Patients diagnosed with other rheumatic or inflammatory diseases include 3 Atherosclerotic disease, 2 CREST Syndrome, 18 Crohn’s disease, 15 Fibromyalgia, 19 Gout, 16 Inflammatory Arthritis, 8 Osteoarthritis, 18
{10}
Scleroderma, 21 Sjogrens Syndrome, 31 Systemic Lupus Erythematosus, 17 Ulcerative Colitis and 2 Wegener's Granulomatosis.
A total of 822 samples within the detection range were evaluated and results are presented in the table below:
| Healthy, Diagnosed RA and Non-RA Patients | BioPlex 2200 Anti-CCP | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | Positive | Negative | Total | % Positive Agreement (95% CI) | % Negative Agreement (95% CI) |
| Predicate Immunoassay | Positive | 358 | 9 | 367 | 97.5%(358/367) | 91.4% (416/455) |
| | Negative | 39 | 416 | 455 | 95% CI 95.4 - 98.7% | 95% CI 88.5 - 93.7% |
| | Total | 397 | 425 | 822 | | |
Positive Agreement (95% CI) = 97.5% (358/367) (95.7 - 98.7%)
Negative Agreement (95% CI) = 91.4% (416/455) (88.5 - 93.7%)
## b. Matrix comparison:
Testing for matrix effects was conducted in accordance with CLSI EP9-A2. Forty-one matched sets of serum and plasma (EDTA and heparin) samples drawn from the same donor were acquired from commercial sources. The matched sets were spiked with high positive anti-CCP IgG serum in order to cover the measuring range of the assay from 0.5 to 300 U/mL. All samples were evaluated in replicates of two. Plasma U/mL values were compared to matched serum U/mL values. Scatter plots comparing the performance of EDTA and heparin plasma samples against serum samples along with the corresponding slopes of regression and coefficient of determination (r²) are shown below comparing the first replicate values only.
| Matrix Comparison | N | Slope (95% CI) | Intercept (95% CI) | Correlation (r) (95% CI) |
| --- | --- | --- | --- | --- |
| EDTA vs. Serum | 41 | 0.9636 (0.8753, 1.0519) | 2.5368 (-2.5799, 7.6536) | 0.9824 (0.9670, 0.9906) |
| Heparin vs. Serum | 41 | 0.9642 (0.8995, 1.0289) | 2.5264 (-1.4891, 6.5419) | 09852 (0.9723, 0.9921) |
{11}

Matrix Comparison Plasma vs Serum

Matrix Comparison Plasma vs Serum
# 3. Clinical studies:
# a. Clinical sensitivity and specificity:
The clinical studies involved testing 997 specimens including 300 apparently healthy blood donors, 496 diagnosed RA patients, and 201 other rheumatic disease patients. The BioPlex 2200 Anti-CCP Sensitivity and Specificity are shown below:
| Anti-CCP Clinical Sensitivity and Specificity | BioPlex 2200 Anti-CCP | | | | |
| --- | --- | --- | --- | --- | --- |
| | Positive | Negative | Total | % Sensitivity (95% CI) | % Specificity (95% CI) |
| Previously Diagnosed Rheumatoid | 412 | 84 | 496 | 83.1%(412/496)95% CI79.5 – 86.1% | 97.8% (490/501)95% CI96.1 – 98.8% |
| Healthy Blood Donors and Patients with Other Rheumatic Diseases | 11 | 490 | 501 | | |
| Total | 423 | 574 | 997 | | |
# b. Other clinical supportive data (when a. is not applicable):
Not applicable
# 4. Clinical cut-off:
Not applicable
{12}
13
5. Expected values/Reference range:
Three hundred samples from apparently healthy donors including 114 males ranging in age from 4 to 84y and 186 females ranging in age from 4 to 88y were tested with BioPlex 2200 Anti-CCP assay. The Anti-CCP results range from <0.5 to 1.5 U/mL as shown below. Results of <3.0 U/mL are reported as negative and results ≥ 3.0 U/mL are reported as positive.
| BioPlex 2200 Anti-CCP (U/mL) | Gender | Minimum | Maximum | N |
| --- | --- | --- | --- | --- |
| Apparently healthy donors | Male | <0.5 | 1.5 | 114 |
| | Female | <0.5 | 1.2 | 186 |
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.