QUANTA Flash RF IgM Reagents, QUANTA Flash RF IgA Reagents
Applicant
Inova Diagnostics, Inc.
Product Code
DHR · Immunology
Decision Date
Apr 17, 2019
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.5775
Device Class
Class 2
Indications for Use
QUANTA Flash RF IgM is a chemiluminescent immunoassay for the quantitative determination of IgM rheumatoid factor (RF) antibodies in human serum. The presence of IgM RF antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of rheumatoid arthritis (RA). QUANTA Flash RF IgA is a chemiluminescent immunoassay for the semi-quantitative determination of lgA rheumatoid factor (RF) antibodies in human serum. The presence of IgA RF antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of rheumatoid arthritis (RA).
Device Story
The QUANTA Flash RF IgM and IgA reagents are chemiluminescent microparticle immunoassays designed for use on the BIO-FLASH instrument. The system is a fully automated, closed-access platform. Patient serum is diluted and combined with rabbit polyclonal antibody-coated paramagnetic beads and assay buffer. After incubation at 37°C and magnetic washing, an isoluminol-conjugated anti-human IgM or IgA antibody is added. Following further incubation and washing, trigger reagents are added to initiate a luminescent reaction. The BIO-FLASH optical system measures the resulting Relative Light Units (RLU), which are proportional to the concentration of RF antibodies. The instrument software uses a lot-specific Master Curve and calibrators to calculate results in IU/mL (IgM) or Chemiluminescent Units (CU) (IgA). The device is intended for use in clinical laboratories by trained personnel to assist clinicians in diagnosing rheumatoid arthritis.
Clinical Evidence
Clinical validation was performed on a cohort of 706 characterized samples, including 296 patients with rheumatoid arthritis (RA) and 410 controls (various autoimmune and infectious diseases). For QUANTA Flash RF IgM, sensitivity was 69.6% and specificity was 88.3%. For QUANTA Flash RF IgA, sensitivity was 56.8% and specificity was 90.5%. Method comparison against predicate ELISA showed high agreement (TPA 89.1% for IgM; 94.0% for IgA).
Technological Characteristics
Microparticle chemiluminescent immunoassay. Reagents: rabbit polyclonal antibody-coated paramagnetic beads, isoluminol-labeled anti-human IgM/IgA conjugate. Energy source: BIO-FLASH analyzer (optical system for RLU measurement). Connectivity: reagent cartridge barcode for Master Curve upload. Software: automated processing, curve fitting, and result calculation. Sterilization: not specified.
Indications for Use
Indicated for use as an aid in the diagnosis of rheumatoid arthritis (RA) in patients suspected of having the disease, based on the detection of IgM or IgA rheumatoid factor antibodies in human serum. For prescription use only.
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.
Predicate Devices
QUANTA Lite RF IgM ELISA (k971614)
QUANTA Lite RF IgA ELISA (k983084)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K190088
B. Purpose for Submission:
New devices
C. Measurand:
Rheumatoid Factor (IgM)
Rheumatoid Factor (IgA)
D. Type of Test:
Quantitative and semi-quantitative chemiluminescent immunoassay
(CIA)
E. Applicant:
INOVA Diagnostics, Inc.
F. Proprietary and Established Names:
QUANTA Flash RF IgM Reagents
QUANTA Flash RF IgA Reagents
G. Regulatory Information:
1. Regulation section:
21 CFR 866.5775, Rheumatoid Factor Immunological Test System
2. Classification:
Class II
3. Product code:
DHR, System, Test, Rheumatoid Factor
4. Panel:
Immunology (82)
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H. Intended Use:
1. Intended uses:
QUANTA Flash RF IgM is a chemiluminescent immunoassay for the quantitative determination of IgM rheumatoid factor (RF) antibodies in human serum. The presence of IgM RF antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of rheumatoid arthritis (RA).
QUANTA Flash RF IgA is a chemiluminescent immunoassay for the semi-quantitative determination of IgA rheumatoid factor (RF) antibodies in human serum. The presence of IgA RF antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of rheumatoid arthritis (RA).
2. Indications for use:
See above
3. Special conditions for use statement:
For prescription use only
4. Special instrument requirements:
BIO-FLASH chemiluminescent analyzer (K083518)
I. Device Description:
The QUANTA Flash RF IgM reagent cartridge contains the following reagents for 100 determinations:
a. Rabbit polyclonal antibody coated paramagnetic beads, ready to use
b. Assay buffer – colored pink, containing protein stabilizers and preservatives
c. Tracer IgM – Isoluminol labeled monoclonal anti-human IgM antibody, containing buffer, protein stabilizers and preservative
The QUANTA Flash RF IgA reagent cartridge contains the following reagents for 100 determinations:
a. Rabbit polyclonal antibody coated paramagnetic beads, ready to use
b. Assay buffer – colored pink, containing protein stabilizers and preservatives
c. Tracer IgA – Isoluminol labeled monoclonal anti-human IgA antibody, containing buffer, protein stabilizers and preservative
The QUANTA Flash RF IgM and RF IgA Calibrators and the QUANTA Flash RF IgM and RF IgA Controls are sold separately.
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J. Substantial Equivalence Information:
1. Predicate device names:
QUANTA Lite RF IgM and QUANTA Lite RF IgA
2. Predicate 510(k) numbers:
K971614 and K983084
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash RF IgM
Reagents | Predicate
QUANTA Lite RF IgM
ELISA |
| Antigen | Rabbit polyclonal antibody | Same |
| Sample type | Serum | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash RF IgM
Reagents | Predicate
QUANTA Lite RF IgM
ELISA |
| Intended Use | QUANTA Flash RF IgM is a chemiluminescent immunoassay for the quantitative determination of IgM rheumatoid factor (RF) in human serum. The presence of IgM RF antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of rheumatoid arthritis (RA). | QUANTA Lite RF IgM is an enzyme-linked immunosorbent assay (ELISA) for the semiquantitative detection of IgM rheumatoid factor (RF) antibodies in patient sera. The presence of these antibodies, when considered in conjunction with other laboratory and clinical findings, is an aid in the diagnosis of rheumatoid arthritis (RA). |
| Analytical Measuring Range | 0.3 – 490.0 IU/mL | 0.0 – 100 Units |
| Solid phase | Paramagnetic microparticles (beads) | 96-well polystyrene plate |
| Detection/Operating principle | Chemiluminescent immunoassay | Enzyme-linked immunosorbent assay |
| Conjugate | Isoluminol conjugated monoclonal anti-human IgM antibody | HRP conjugated monoclonal anti-human IgM antibody |
| Cut-Off | 5.0 IU/mL | 6.0 Units |
| Calibration | Lot specific Master Curve with | Five lot-specific calibrators |
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| Differences | | |
| --- | --- | --- |
| Item | Device QUANTA Flash RF IgA Reagents | Predicate QUANTA Lite RF IgA ELISA |
| | two calibrators (sold separately) | (part of kit) |
| Units | Chemiluminescent units (CU) | Same |
| Traceability | WHO Reference Reagent – Rheumatoid Arthritis Serum (NIBSC code: W1066) | WHO international reference preparation (64/2) |
| Similarities | | |
| --- | --- | --- |
| Item | Device QUANTA Flash RF IgA Reagents | Predicate QUANTA Lite RF IgA ELISA |
| Antigen | Rabbit polyclonal antibody | Same |
| Sample type | Serum | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device QUANTA Flash RF IgA Reagents | Predicate QUANTA Lite RF IgA ELISA |
| Intended Use | QUANTA Flash RF IgA is a chemiluminescent immunoassay for the quantitative determination of IgA rheumatoid factor (RF) in human serum. The presence of IgA RF antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of rheumatoid arthritis (RA). | QUANTA Lite RF IgA is an enzyme-linked immunosorbent assay (ELISA) for the semiquantitative detection of IgA rheumatoid factor (RF) antibodies in patient sera. The presence of these antibodies, when considered in conjunction with other laboratory and clinical findings, is an aid in the diagnosis of rheumatoid arthritis (RA). |
| Analytical Measuring Range | 1.3 – 900.0 CU | 0.0 – 100 Units |
| Solid phase | Paramagnetic microparticles (beads) | 96-well polystyrene plate |
| Detection/Operating principle | Chemiluminescent immunoassay | Enzyme-linked immunosorbent assay |
| Conjugate | Isoluminol conjugated monoclonal anti-human IgM antibody | HRP conjugated monoclonal anti-human IgM antibody |
| Cut-Off | 20.0 CU | 6.0 Units |
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| Differences | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash RF IgA
Reagents | Predicate
QUANTA Lite RF IgA
ELISA |
| Calibration | Lot specific Master Curve with two calibrators (sold separately) | Five lot-specific calibrators (part of kit) |
| Units | Chemiluminescent units (CU) | Same |
## K. Standard/Guidance Document Referenced (if applicable):
EP05-A3, Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline, Third Edition
EP6-A, Evaluation of Linearity of Quantitative Measurement, Approved Guideline, Second Edition
EP07-A2, Interference Testing in Clinical Chemistry, Approved Guideline, Second Edition
EP17-A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline, Second Edition
EP28-A3c, Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline, Third Addition
## L. Test Principle:
The QUANTA Flash RF IgM and RF IgA assays are microparticle chemiluminescent immunoassay designed for use on the BIO-FLASH instrument. The instrument platform is a fully automated closed system with continuous load and random access capabilities that automatically processes the samples, runs the assay and reports the results. It includes liquid handling hardware, luminometer and computer with software-user interface. The QUANTA Flash RF IgM and RF IgA assays utilize a reagent cartridge format, which is compatible with the BIO-FLASH instrument.
Purified rabbit polyclonal antibodies are coated onto paramagnetic beads which are stored in the reagent cartridge. The ready-to-use reagent cartridge is loaded onto the BIO-FLASH instrument. Samples are also loaded onto the instrument in sample racks. A patient serum sample is prediluted by the BIO-FLASH with system rinse in a small disposable plastic cuvette. Small amounts of the diluted patient serum, the beads, and assay buffer are all combined into a second cuvette, and mixed. This cuvette is then incubated at $37^{\circ}\mathrm{C}$. The beads are magnetized and washed several times. Isoluminol conjugated anti-human IgM or anti-human IgA antibodies are then added to the cuvette, and again incubated at $37^{\circ}\mathrm{C}$. The beads are magnetized and washed repeatedly. The isoluminol conjugate is oxidized when "Trigger" reagents are added to the cuvette, and the flash of light produced from this reaction is measured as Relative Light Units (RLU) by the BIO-FLASH optical system. The RLU are proportional to the amount of isoluminol conjugate that is bound to the human IgM or IgA which is in turn proportional to the amount of RF antibodies bound to the rabbit antibodies on the beads.
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The QUANTA Flash RF IgM and RF IgA assays utilize a predefined lot-specific Master Curve that is uploaded into the instrument through the reagent cartridge barcode. Based on the results obtained by running two calibrators, an instrument-specific Working Curve is created, which is used by the software to calculate chemiluminescent units (CU) from the RLU value obtained for each sample.
# M. Performance Characteristics:
# 1. Analytical performance:
All the results presented below met the manufacturer's pre-specified acceptance criteria.
# a. Precision/Reproducibility:
Precision: The imprecision of the QUANTA Flash RF (IgM) and RF (IgA) assays was evaluated according to CLSI EP05-A03 by running patient samples across the assay ranges, ten for the IgM assay and nine for the IgA assay. Samples were run in duplicates, twice a day, for 20 days using one reagent lot (total of 80 replicates per sample). Controls were run as quality controls during each run. The results are summarized in the tables below:
| QuantaFlash RF IgM | | Repeatability | | Between-Run | | Between-Day | | Within-Lab Imprecision | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample ID | Mean (IU/mL) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD ) | CV (%) |
| 1 | 1.2 | 0.1 | 5.4 | 0.0 | 3.1 | 0.0 | 3.3 | 0.1 | 7.0 |
| 2 | 2.3 | 0.1 | 4.1 | 0.1 | 5.2 | 0.0 | 1.6 | 0.2 | 6.8 |
| 3 | 2.7 | 0.1 | 3.8 | 0.1 | 3.6 | 0.1 | 3.5 | 0.2 | 6.3 |
| 4 | 3.7 | 0.2 | 4.6 | 0.1 | 3.2 | 0.1 | 2.2 | 0.2 | 6.0 |
| 5 | 5.4 | 0.2 | 3.2 | 0.2 | 3.2 | 0.2 | 2.9 | 0.3 | 5.4 |
| 6 | 20.6 | 0.8 | 4.0 | 0.4 | 1.8 | 0.6 | 2.8 | 1.1 | 5.2 |
| 7 | 83.9 | 2.9 | 3.4 | 2.7 | 3.2 | 2.1 | 2.5 | 4.5 | 5.3 |
| 8 | 181.3 | 9.0 | 4.9 | 8.6 | 4.8 | 0.0 | 0.0 | 12.4 | 6.9 |
| 9 | 379.3 | 16.3 | 4.5 | 22.5 | 5. | 4.2 | 1.1 | 28.4 | 7.5 |
| 10 | 408.8 | 19.2 | 4.7 | 21.6 | 5.3 | 10.8 | 2.6 | 30.9 | 7.6 |
| QuantaFlash RF IgA | | Repeatability | | Between-Run | | Between-Day | | Within-Lab Imprecision | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample ID | Mean (CU) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 10.6 | 0.4 | 3.5 | 0.3 | 2.8 | 0.4 | 3.7 | 0.6 | 5.8 |
| 2 | 11.2 | 0.6 | 5.3 | 0.0 | 0.4 | 0.2 | 1.9 | 0.6 | 5.6 |
| 3 | 20.9 | 0.8 | 4.0 | 0.0 | 0.0 | 0.7 | 3.2 | 1.1 | 5.2 |
| 4 | 21.6 | 0.7 | 3.3 | 0.3 | 1.2 | 0.5 | 2.5 | 0.94 | 4.3 |
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| QuantaFlash RF IgA | | Repeatability | | Between-Run | | Between-Day | | Within-Lab Imprecision | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample ID | Mean (CU) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 5 | 48.7 | 2.1 | 4.3 | 0.7 | 1.4 | 0.6 | 1.1 | 2.3 | 4.6 |
| 6 | 107.0 | 2.5 | 2.4 | 2.8 | 2.7 | 2.2 | 2.1 | 4.4 | 4.1 |
| 7 | 415.8 | 11.2 | 2.7 | 5.8 | 1.4 | 8.8 | 2.1 | 15.4 | 3.7 |
| 8 | 721.1 | 31.7 | 4.4 | 16.0 | 2.2 | 30.8 | 4.3 | 47.0 | 6.5 |
| 9 | 749.3 | 25.3 | 3.4 | 20.2 | 2.7 | 21.9 | 2.9 | 39.1 | 5.2 |
Site-to-Site Reproducibility: Eight samples were tested according to CLSI EP05-A03 at three different sites with one reagent lot to evaluate the site-to-site reproducibility for both the IgM and IgA assays. Each sample was run in replicates of five, once a day for five days, to generate 25 data points per sample at each site (N=75 per sample for all sites combined). Data were analyzed for within-run, between-day, between-site, and total imprecision. The results are summarized in the tables below.
| QuantaFlash RF IgM | | Repeatability | | Between-Day | | Between-Site | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean (CU) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 1.7 | 0.1 | 6.4 | 0.1 | 4.4 | 0.1 | 2.7 | 0.1 | 8.2 |
| 2 | 3.0 | 0.1 | 4.0 | 0.1 | 1.7 | 0.2 | 7.5 | 0.3 | 8.7 |
| 3 | 4.6 | 0.2 | 3.3 | 0.2 | 4.0 | 0.1 | 2.2 | 0.3 | 5.6 |
| 4 | 6.3 | 0.2 | 2.9 | 0.3 | 4.1 | 0.5 | 7.8 | 0.6 | 9.3 |
| 5 | 23.2 | 0.9 | 3.9 | 0.7 | 2.9 | 0.2 | 1.1 | 1.2 | 5.0 |
| 6 | 92.8 | 2.4 | 2.6 | 2.9 | 3.1 | 5.1 | 5.5 | 6.3 | 6.8 |
| 7 | 200.3 | 9.4 | 4.7 | 10.7 | 5.4 | 4.9 | 2.4 | 15.1 | 7.5 |
| 8 | 412.9 | 15.5 | 3.8 | 17.3 | 4.2 | 36.2 | 8.8 | 43.0 | 10.4 |
| QuantaFlash RF IgA | | Repeatability | | Between-Day | | Between-Site | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean (CU) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 11.2 | 0.5 | 4.2 | 0.4 | 3.3 | 0.4 | 3.1 | 0.7 | 6.2 |
| 2 | 11.3 | 0.5 | 4.0 | 0.2 | 2.1 | 0.3 | 2.5 | 0.6 | 5.2 |
| 3 | 21.9 | 0.7 | 3.4 | 0.1 | 0.4 | 0.6 | 2.9 | 1.0 | 4.5 |
| 4 | 23.2 | 0.9 | 3.9 | 0.2 | 1.0 | 0.8 | 3.6 | 1.3 | 5.4 |
| 5 | 51.7 | 1.3 | 2.5 | 0.7 | 1.2 | 0.5 | 0.9 | 1.5 | 2.9 |
| 6 | 112.6 | 3.2 | 2.9 | 2.3 | 2.1 | 0.0 | 0.0 | 4.0 | 3.5 |
| 7 | 462.4 | 13.2 | 2.9 | 10.9 | 2.4 | 19.8 | 4.3 | 26.1 | 5.6 |
| 8 | 738.4 | 27.3 | 3.7 | 2.5 | 3.0 | 45.3 | 6.1 | 57.4 | 7.8 |
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# Lot-to-lot Imprecision:
For both the IgM and IgA assays, a lot-to-lot imprecision study was performed according to CLSI EP05-A03 by testing eight samples with three different lots of reagents in five replicates for five days, to generate 25 data points per lot (total 75 replicates). The results are summarized in the tables below:
| QuantaFlash RF IgM | | Repeatability | | Between-Day | | Within-Lot | | Between-Lot | | Within Lab Imprecision | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean (CU) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 2.9 | 0.1 | 3.8 | 0.0 | 1.6 | 0.1 | 4.1 | 0.0 | 1.0 | 0.1 | 4.2 |
| 2 | 3.3 | 0.1 | 3.1 | 0.1 | 2.2 | 0.1 | 3.8 | 0.1 | 3.4 | 0.2 | 5.1 |
| 3 | 4.6 | 0.2 | 3.6 | 0.1 | 3.0 | 0.2 | 4.7 | 0.0 | 0.0 | 0.2 | 4.7 |
| 4 | 23.2 | 0.8 | 3.4 | 0.7 | 3.1 | 1.1 | 4.6 | 0.4 | 1.6 | 1.1 | 4.8 |
| 5 | 209.8 | 9.8 | 4.7 | 14.0 | 6.7 | 17.1 | 8.2 | 9.8 | 4.7 | 19.7 | 9.4 |
| 6 | 1.6 | 0.1 | 5.2 | 0.1 | 5.5 | 0.1 | 7.6 | 0.1 | 4.1 | 0.1 | 8.7 |
| 7 | 92.9 | 3.8 | 4.1 | 2.4 | 2.6 | 4.5 | 4.9 | 4.8 | 5.2 | 6.6 | 7.1 |
| 8 | 6.0 | 0.2 | 3.8 | 0.2 | 2.9 | 0.3 | 4.8 | 0.1 | 1.4 | 0.3 | 5.0 |
| QuantaFlash RF IgA | | Repeatability | | Between-Day | | Within-Lot | | Between-Lot | | Within Lab Imprecision | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean (CU) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 11.7 | 0.5 | 4.3 | 0.4 | 3.8 | 0.7 | 5.7 | 0.0 | 0.0 | 0.7 | 5.7 |
| 2 | 22.6 | 0.7 | 3.0 | 0.6 | 2.7 | 0.9 | 4.0 | 0.2 | 0.9 | 0.9 | 4.1 |
| 3 | 22.5 | 0.6 | 2.9 | 0.4 | 1.8 | 0.8 | 3.4 | 0.6 | 2.6 | 1.0 | 4.3 |
| 4 | 52.9 | 1.3 | 2.5 | 0.8 | 1.6 | 1.6 | 3.0 | 0.4 | 0.8 | 1.6 | 3.1 |
| 5 | 487.0 | 13.6 | 2.8 | 11.5 | 2.4 | 17.8 | 3.7 | 7.2 | 1.5 | 19.2 | 3.9 |
| 6 | 11.4 | 0.4 | 3.4 | 0.2 | 2.0 | 0.5 | 4.0 | 0.0 | 0.3 | 0.5 | 4.0 |
| 7 | 113.2 | 3.3 | 2.9 | 2.3 | 2.0 | 4.0 | 3.5 | 0.0 | 0.0 | 4.0 | 3.5 |
| 8 | 722.7 | 21.9 | 3.0 | 23.7 | 3.3 | 32.3 | 4.5 | 18.7 | 2.6 | 37.3 | 5.2 |
# b. Linearity/assay reportable range:
The linearity of QUANTA Flash RF IgM and QUANTA Flash RF IgA was evaluated by a study performed according to CLSI EP6-A. The linearity was evaluated using four human serum samples for the QUANTA Flash RF IgM and three human serum samples for the QUANTA Flash RF IgA with various RF antibody concentrations which were combined with another human serum sample containing low levels of RF antibodies in $10\%$ increments (from $0\%$ to $90\%$ of low sample) to obtain a set of samples with values that cover the entire analytical measuring range (AMR) of the assays. The dilutions were assayed in duplicates. Results were
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analyzed according to the guideline performing regression analysis and identifying the best fitting polynomial.
For the QUANTA Flash RF IgM, the results of the analysis of sample sets 1, 2, and 4 demonstrate that the best fitting polynomial is a linear one. For sample set 3, the best fitting polynomial found was a second order polynomial. The deviation from linearity between the linear regression and the second order polynomial met the acceptance criteria. All four sample sets showed dilution linearity individually and in combination:
| RF IgM Sample Set | Test Range (CU) | Slope (95% CI) | Y-intercept (95% CI) | R² | Avg % Recovery |
| --- | --- | --- | --- | --- | --- |
| 1 | 60.5 – 544.1 | 0.92 (0.88 – 0.96) | 25.9 (11.9 – 39.9) | 0.99 | 104.0% |
| 2 | 10.8 – 108.3 | 1.04 (0.99 – 1.10) | 0.6 (-2.8 – 4.0) | 0.99 | 105.6% |
| 3 | 1.5 – 15.3 | 1.00 (0.95 – 1.05) | -0.6 (1.1 – -0.1) | 0.99 | 91.2% |
| 4 | 0.2 – 1.5 | 1.07 (0.99 – 1.14) | -0.1 (-0.1 – 0.0) | 0.98 | 96.7% |
| Combined | 0.2 – 544.1 | 0.98 (0.97 – 0.99) | 2.7 (0.5 – 4.9) | 1.00 | 99.3% |
For the QUANTA Flash RF IgA, sample sets 2 and 3 were found linear. For sample set 1, the best fitting polynomial found was a third order polynomial. The deviation from linearity between the linear regression and the second order polynomial met the acceptance criteria.
| RF IgA Sample Set | Test Range (CU) | Slope (95% CI) | Y-intercept (95% CI) | R² | Avg % Recovery |
| --- | --- | --- | --- | --- | --- |
| 1 | 104.5 – 1045.0 | 1.00 (0.96 – 1.04) | 12.8 (-12.4 – 38.1) | 0.99 | 102.9% |
| 2 | 10.8 – 107.7 | 0.94 (0.90 – 0.98) | 5.1 (2.7 – 7.6) | 0.99 | 106.6% |
| 3 | 1.1 – 11.1 | 0.97 (0.92 – 1.02) | 0.3 (-0.1 – 0.6) | 0.99 | 104.9% |
| Combined | 1.1 – 1045.0 | 1.01 (1.00 – 1.02) | 1.7 (-2.8 – 6.2) | 1.00 | 104.8% |
Auto-rerun: For both assays, the auto-rerun function was validated by testing samples greater than the highest value that can be directly measured (three samples $>490$ IU/mL for the RF IgM assay and two samples $>900$ CU for the RF IgA assay) with the auto-rerun feature enabled. The same samples were also run after being manually diluted 20-fold. The results of the manually-diluted samples were multiplied by 20,
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and compared with the results obtained by the instrument with the auto-rerun feature. Obtained results were divided by expected results (those obtained after manual dilution) to calculate percent recovery. Recovery values were 93.5%, 99.6% and 104.9%, with an average of 99.3% recovery for the RF IgM assay. Recovery values were 104.0% and 104.9%, with an average of 104.4% recovery for the RF IgA assay.
Hook effect: Two high positive samples with RF IgM concentrations above the assay measuring range (1755.2 IU/mL and 1830.6 IU/mL) were tested to evaluate a potential hook effect. No hook effect was observed up to 1830.6 IU/mL. Two high positive samples with RF IgA concentrations above the assay measuring range (3151.8 CU and 42710.4 CU) were tested to evaluate a potential hook effect. No hook effect was observed up to 42710.4 CU.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability: For the QUANTA Flash RF IgM, Master Curve Standards are traceable to the WHO Reference Reagent – Rheumatoid Arthritis Serum (NIBSC code: W1066). Based upon this standardization, results are reported in International Units (IU)/mL. For the QUANTA Flash RF IgA, no international standard serum for RF IgA antibodies is available that allows for the standardization of RF IgA antibody assays.
Stability:
Kit stability (unopened): The real-time and accelerated stability of each kit was tested using three lots of kits (with three different lots of RF IgM or RF IgA paramagnetic beads), calibrators, and controls. Both the real-time and accelerated stability testing supports a claim of one year at stability for unopened kits, calibrators and controls stored at 2–8°C.
Opened Reagent Cartridges: To establish the in-use stability of each assay, two lots of cartridges were tested with eight RF IgM and six RF IgA specimens (with different reactivity levels) along with the Negative and Positive Controls. The specimens were tested periodically for 91 days and the results were compared to internal criteria. The onboard stability of both assays was set at 80 days.
Sample stability: For the QUANTA Flash RF IgM, five human serum samples, (one negative, one around the cut-off, and three positive samples) and for the QUANTA Flash RF IgA four human serum samples, (one negative, one around the cut-off, and two positive samples) were tested in duplicates for up to 21 days while stored at 2–8°C; up to 48 hours while stored at room temperature; and after repeated freeze/thaw cycles up to three cycles. Results were compared to those obtained on control samples at time zero. Based on the results, the sponsor recommends that the samples can be stored up to 48 hours at room temperature; up to 14 days at 2–8°C; and can be subjected to up to three freeze/thaw cycles (when samples are stored at or below –20°C).
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d. Detection limit:
Limit of Blank (LoB): The LoB of each assay was determined by assaying four system rinse (blank) samples in five replicates per sample over three days with two reagent lots. A total of 60 data points per lot were generated. The LoB for each lot was calculated separately. The LoB of both two RF IgM lots was below the measuring range and was determined to be 0.0 IU/mL (415 RLU) and 0.0 IU/mL (450 RLU). The claimed LoB value for the QUANTA Flash RF IgM assay is 0.0 IU/mL. The LoB of both two QUANTA Flash RF IgA lots was determined to be 0.3 CU and 0.1 CU/mL. The claimed LoB value for the RF IgA assay is 0.3 CU.
Limit of Detection (LoD): The LoD of each assay was determined by assaying four low-level samples with RF IgM or RF IgA tested in five replicates over three days on two reagent lots (60 replicates per lot). The LoD value was determined consistent with CLSI EP17-A2 guideline with proportions of false positives (alpha) less than 5% and false negatives (beta) less than 5%. The determined LoD of the QUANTA Flash RF IgM assay for the two lots were below the measuring range of one lot (0.0 IU/mL) and 0.1 IU/mL for the other; the claimed LoD is 0.1 IU/mL. The determined LoD of both lots of the QUANTA Flash RF IgA assay was 0.5 CU; the claimed LoD is 0.5 CU.
Limit of Quantitation (LoQ): The LoQ of both assays was determined by testing four low level samples run in replicates of five for three days on two reagent lots (30 replicates per sample). The LoQ was determined with a total within-laboratory imprecision of 20%. The claimed QUANTA Flash RF IgM LoQ is 0.3 IU/mL while the claimed QUANTA Flash RF IgA is 1.2 CU.
e. Analytical specificity:
The interference studies were performed according to CLSI EP07-A2. Four serum specimens were tested (negative: near the cut-off, low positive, and high positive) for each assay. Interfering substances were spiked into every specimen in 10% of total specimen volume, and the resulting samples were assessed in triplicate. Recovery of the unit values was calculated compared to control samples spiked with the same volume of diluent (10% of total). No interference was identified in either assays by the following substances at the stated concentrations:
{11}
| Endogenous Interferent | Concentration | | Exogenous Interferent | Concentration |
| --- | --- | --- | --- | --- |
| Bilirubin (Conjugated) | 1 mg/mL | | Ascorbic Acid | 60.1 mg/L |
| Cholesterol | 332.5 mg/dL | | Methotrexate | 9.1 mg/mL |
| Hemoglobin | 2 mg/mL | | Prednisone | 0.3 mg/L |
| Human IgG | 70 mg/mL | | | |
| Triglyceride | 1000 mg/dL | | | |
f. Assay cut-off:
The cut-offs of the QUANTA Flash RF assays was determined by testing a set of samples from a reference population of 191 samples [117 apparently healthy donors; 27 infectious disease controls; 13 false positive samples; 12 antiphospholipid syndrome; 9 systemic lupus erythematosus; 8 celiac disease; and 5 vasculitis]. The cut-off was established based on the $95^{\text{th}}$ percentile of the results obtained on the reference subjects, along with the results of 42 samples from patients with rheumatoid arthritis, to provide optimal differentiation between positive and negative samples. From these studies, the RF IgM cut-off was assigned at 5 IU/mL and the RF IgA cut-off was assigned at 6 CU.
2. Comparison studies:
a. Method comparison with predicate device:
Samples from the clinical validation studies (see below) were tested with QUANTA Flash RF assays and the predicate QUANTA Lite RF assays. Samples within the assays' measuring ranges were included in the method comparison analysis (577 for the RF IgM assay and 612 samples for the RF IgA assay).
| | Quanta Lite RF IgM | | | |
| --- | --- | --- | --- | --- |
| | | Negative | Positive | Total |
| Quanta Flash RF IgM | Negative | 291 | 52 | 343 |
| | Positive | 11 | 223 | 234 |
| | Total | 302 | 275 | 577 |
Positive percent agreement: 81.1% (223/275) 95% CI: 76.0%-85.3%
Negative percent agreement: 96.4% (291/302) 95% CI: 93.6%-98.0%
{12}
13
| | Quanta Lite RF IgA | | | |
| --- | --- | --- | --- | --- |
| | | Negative | Positive | Total |
| Quanta Flash RF IgA | Negative | 385 | 27 | 412 |
| | Positive | 10 | 190 | 200 |
| | Total | 395 | 217 | 612 |
Positive percent agreement: 87.6% (190/217) 95% CI: 82.5%-91.3%
Negative percent agreement: 97.5% (385/395) 95% CI: 95.4%-98.6%
b. Matrix comparison:
Not applicable; these assays indicate serum only.
3. Clinical studies:
a. Clinical Sensitivity and Specificity:
A total of 706 samples were included in the clinical evaluation for the QUANTA Flash RF IgM and IgA assays. This validation set of samples included 296 samples from patients with Rheumatoid Arthritis (RA); samples from patients with other autoimmune diseases (e.g., systemic lupus erythematosus (SLE), Sjögren’s syndrome, Crohn’s disease, autoimmune hepatitis); and samples from patients with other diseases (e.g., osteoarthritis, and infectious diseases). Clinical sensitivity and specificity for RA is summarized in the following tables:
| | Clinical Diagnosis of RA | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| QUANTA Flash RF IgM | Positive | 206 | 48 | 254 |
| | Negative | 90 | 362 | 452 |
| | Total | 296 | 410 | 706 |
Sensitivity: 69.6% (95% CI: 64.1–74.6%)
Specificity: 88.3% (95% CI: 84.8–91.1%)
| | Clinical Diagnosis of RA | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| QUANTA Flash RF IgA | Positive | 168 | 39 | 207 |
| | Negative | 128 | 371 | 499 |
| | Total | 296 | 410 | 669 |
Sensitivity: 56.8% (95% CI: 51.1 – 62.3%)
Specificity: 90.5% (95% CI: 87.3 – 93.0%)
{13}
The distribution of the cohort and the RF IgM and RF IgA positivity rate for each clinical subgroup are summarized below:
| Diagnosis Group | N | RF IgM
N Positive | RF IgM
% Positive | RF IgA
N Positive | RF IgA
% Positive |
| --- | --- | --- | --- | --- | --- |
| Rheumatoid Arthritis | 296 | 206 | 69.6% | 168 | 56.8% |
| | | | | | |
| Other autoimmune diseases | | | | | |
| Systemic lupus erythematosus | 28 | 4 | 14.3% | 4 | 14.3% |
| Mixed Connective Tissue Disease | 8 | 1 | 12.5% | 1 | 12.5% |
| Sjögren’s Syndrome | 30 | 7 | 23.3% | 6 | 20.0% |
| Polymyositis | 10 | 3 | 30.0% | 2 | 20.0% |
| Dermatomyositis | 5 | 2 | 40.0% | 0 | 0 |
| Autoimmune Hepatitis | 30 | 0 | 0 | 1 | 3.3% |
| Hashimoto’s Disease | 8 | 0 | 0 | 0 | 0 |
| Grave’s Disease | 6 | 1 | 16.7% | 0 | 0 |
| Ulcerative Colitis | 50 | 8 | 16.0% | 10 | 20.0% |
| Crohn’s Disease | 30 | 3 | 10.0% | 2 | 6.7% |
| Celiac Disease | 29 | 0 | 0 | 0 | 0 |
| | | | | | |
| Other diseases | | | | | |
| Osteoarthritis | 30 | 3 | 10.0% | 0 | 0 |
| Psoriatic Arthritis | 12 | 0 | 0 | 0 | 0 |
| Polymyalgia Rheumatica | 15 | 2 | 13.3% | 0 | 0 |
| Fibromyalgia | 10 | 1 | 10.0% | 0 | 0 |
| Ankylosing Spondylitis | 8 | 0 | 0 | 0 | 0 |
| | | | | | |
| Infectious diseases | | | | | |
| Hepatitis B | 20 | 1 | 5.0% | 0 | 0 |
| Hepatitis C | 19 | 0 | 0 | 1 | 5.3% |
| Syphilis | 12 | 1 | 8.3% | 0 | 0 |
| Parvovirus | 10 | 2 | 20.0% | 2 | 20.0% |
| Lyme Disease | 10 | 0 | 0 | 0 | 0 |
| | | | | | |
| Total Controls | 410 | 48 | 11.7% | 39 | 9.5% |
| | | | | | |
| Total | 706 | | | | |
4. Clinical cut-off:
Not applicable.
{14}
5. Expected values/Reference range:
The expected value in the normal population is negative.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Parts 801 and 809, as applicable.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
15
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.