Retrospective clinical samples were used to establish clinical sensitivity and specificity for the device in diagnosing Sjögren's Syndrome and SLE, and to perform method comparison against the predicate ELISA device.
Clinical Validation Set; Retrospective cohort study
761 characterized clinical samples including patients with Sjögren's Syndrome, SLE, and various autoimmune/infectious disease controls.; Sample Size: 761
QUANTA Lite SS-B ELISA (predicate device)
Clinical sensitivity and specificity for SLE and Sjögren's Syndrome; method comparison agreement.
Indications for Use
QUANTA Flash SS-B is a chemiluminescent immunoassay for the semi-quantitative determination of IgG anti-SS-B autoantibodies in human serum. The presence of anti-SS-B autoantibodies, in conjunction with clinical findings and other laboratory tests is an aid in the diagnosis of Sjögren’s Syndrome and Systemic Lupus Erythematosus. QUANTA Flash SS-B Calibrators are intended for use with the QUANTA Flash SS-B Reagents for the determination of IgG anti-SS-B autoantibodies in human serum. Each calibrator establishes a point of reference for the working curve that is used to calculate unit values. QUANTA Flash SS-B Controls are intended for use with the QUANTA Flash SS-B reagents for quality control in the determination of IgG anti-SS-B autoantibodies in human serum.
Device Story
Device is a chemiluminescent immunoassay (CIA) for detecting IgG anti-SS-B autoantibodies in human serum. Input: patient serum sample. Process: sample prediluted with system rinse; combined with purified recombinant SS-B antigen-coated paramagnetic beads and assay buffer; incubated at 37°C; washed; isoluminol-conjugated anti-human IgG added; incubated; washed; triggers added to induce light flash. Output: Relative Light Units (RLU) measured by BIO-FLASH optical system, proportional to anti-SS-B antibody concentration. Used in clinical laboratories; operated by trained personnel. Output used by clinicians alongside other tests/clinical findings to aid diagnosis of Sjögren’s Syndrome and SLE.
Clinical Evidence
Clinical validation used 761 characterized samples. Sensitivity for SLE was 13.1% (95% CI: 9.4–17.5%) with 98.0% specificity. Sensitivity for Sjögren’s Syndrome (SS) was 35.0% (95% CI: 20.6–51.7%) with 97.8% specificity. Method comparison with predicate ELISA (n=639) showed 88.9% positive agreement and 92.0% negative agreement.
Indicated for the semi-quantitative determination of IgG anti-SS-B autoantibodies in human serum as an aid in the diagnosis of Sjögren's Syndrome and Systemic Lupus Erythematosus.
Regulatory Classification
Identification
An antinuclear antibody immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the autoimmune antibodies in serum, other body fluids, and tissues that react with cellular nuclear constituents (molecules present in the nucleus of a cell, such as ribonucleic acid, deoxyribonucleic acid, or nuclear proteins). The measurements aid in the diagnosis of systemic lupus erythematosus (a multisystem autoimmune disease in which antibodies attack the victim's own tissues), hepatitis (a liver disease), rheumatoid arthritis, Sjögren's syndrome (arthritis with inflammation of the eye, eyelid, and salivary glands), and systemic sclerosis (chronic hardening and shrinking of many body tissues).
Predicate Devices
QUANTA Lite® SS-B ELISA (k922832)
Submission Summary (Full Text)
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1
510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY ONLY TEMPLATE
A. 510(k) Number:
k141210
B. Purpose for Submission:
New device
C. Measurand:
anti-SS-B IgG antibodies
D. Type of Test:
Semi-quantitative immunoassay
E. Applicant:
INOVA Diagnostics, Inc.
F. Proprietary and Established Names:
QUANTA Flash® SS-B
QUANTA Flash® SS-B Calibrators
QUANTA Flash® SS-B Controls
G. Regulatory Information:
1. Regulation section:
21 CFR §866.5100, Antinuclear antibody immunological test system
21 CFR §862.1150, Calibrator
21 CFR §862.1660, Quality control material (assayed and unassayed)
2. Classification:
Class II (assay and calibrators)
Class I (controls)
3. Product code:
LLL, Extractable antinuclear antibody, antigen and control
JIT, Calibrator, secondary
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JJX, Single (specified) analyte controls (assayed and unassayed)
4. Panel:
Immunology (82)
Clinical chemistry (75)
H. Intended Use:
1. Intended use(s):
QUANTA Flash SS-B is a chemiluminescent immunoassay for the semi-quantitative determination of IgG anti-SS-B autoantibodies in human serum. The presence of anti-SS-B autoantibodies, in conjunction with clinical findings and other laboratory tests is an aid in the diagnosis of Sjögren’s Syndrome and Systemic Lupus Erythematosus.
QUANTA Flash SS-B Calibrators are intended for use with the QUANTA Flash SS-B Reagents for the determination of IgG anti-SS-B autoantibodies in human serum. Each calibrator establishes a point of reference for the working curve that is used to calculate unit values.
QUANTA Flash SS-B Controls are intended for use with the QUANTA Flash SS-B reagents for quality control in the determination of IgG anti-SS-B autoantibodies in human serum.
2. Indication(s) for use:
Same as intended use
3. Special conditions for use statement(s):
For prescription use only
4. Special instrument requirements:
BIO-FLASH Instrument System (k083518)
I. Device Description:
The QUANTA Flash® SS-B reagent cartridge contains the following reagents for 50 determinations:
- SS-B coated paramagnetic beads, lyophilized
- Assay buffer – colored pink, containing Tris-buffered saline, Tween 20, protein stabilizers and preservatives
- Tracer IgG – Isoluminol labeled anti-human IgG antibody, containing buffer, protein stabilizers and preservative.
Each cartridge has a barcode that contains the assay name, the assay ID number, the lot number and expiration date, the four parameters of the lot specific master curve, and the reagent cartridge specific serial number. Also included is a vial of resuspension buffer
2
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containing protein stabilizers and preservative.
The QUANTA Flash® SS-B Calibrator set includes two calibrators (Calibrator 1 and Calibrator 2). These are barcoded tubes containing 0.3 mL pre-diluted, ready-to-use reagent. Calibrators contain human antibodies to SS-B in buffer containing stabilizers and preservatives. They are sold separately.
The QUANTA Flash® SS-B Controls contain two vials (a Negative and a Positive) containing human antibodies to SS-B in buffer containing protein stabilizers and preservatives. They are sold separately.
The following additional consumable items are required for the test and supplied separately: BIO-FLASH system rinse, BIO-FLASH Triggers, and BIO-FLASH Cuvettes.
## J. Substantial Equivalence Information:
1. Predicate device name(s):
QUANTA Lite® SS-B ELISA
2. Predicate 510(k) number(s):
k922832
3. Comparison with predicate:
QUANTA Flash® SS-B Reagent Kit
| Similarities | | |
| --- | --- | --- |
| Item | QUANTA Flash SS-B | Predicate Device |
| Intended Use | Semi-quantitative determination of anti SS-B antibodies in human serum | Same |
| Assay Methodology | Solid phase (heterogeneous) immunoassay | Same |
| Traceability | International Reference preparation is not available. Results are traceable to in-house standards | Same |
| Sample Type | Serum | Same |
| Cut-off | 20 CU | Same |
| Shelf Life | One year | Same |
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| Differences | | |
| --- | --- | --- |
| Item | QUANTA Flash SS-B | Predicate Device |
| Detection/Operating principle | Chemiluminescent immunoassay | Enzyme-linked immunosorbent assay |
| Solid phase | Paramagnetic microparticles (beads) | 96-well plate |
| Antigen | Purified recombinant SS-B antigen | Native SS-B antigen, purified from bovine thymus |
| Conjugate | Isoluminol conjugated anti-human IgG | HRP conjugated anti-human IgG |
| Calibration | Lot specific Master Curve + two calibrators (Sold separately) | SS-B ELISA Low Positive (Included in the kit) |
QUANTA Flash® SS-B Calibrators
| Similarities | | |
| --- | --- | --- |
| Item | QUANTA Flash SS-B Calibrators | Predicate Device |
| Intended use | QUANTA Flash SS-B Calibrators are intended for use with the QUANTA Flash SS-B Reagents for the determination of IgG anti-SS-B autoantibodies in human serum. Each calibrator establishes a point of reference for the working curve that is used to calculate unit values. | No separate intended use; calibrator is part of the kit. |
| Analyte | Anti-SS-B antibodies | Same |
| Matrix | Human serum, buffers, stabilizers, and preservative | Same |
| Physico-chemical characteristics | Liquid, prediluted, ready to use | Same |
| Storage | 2-8°C | Same |
| Shelf life | One year | Same |
| Differences | | |
| --- | --- | --- |
| Item | QUANTA Flash SS-B Calibrators | Predicate Device |
| Method | QUANTA Flash SS-B chemiluminescent immunoassay | QUANTA Lite SS-B ELISA |
| Unit | CU (chemiluminescent units, arbitrary) | Units (arbitrary) |
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QUANTA Flash® SS-B Controls
| Similarities | | |
| --- | --- | --- |
| Item | QUANTA Flash SS-B Controls | Predicate Device |
| Intended use | QUANTA Flash SS-B Controls are intended for use with the QUANTA Flash SS-B reagents for quality control in the determination of IgG anti-SS-B autoantibodies in human serum. | No separate intended use; controls are part of the kit. |
| Analyte | Anti-SS-B antibodies | Same |
| Matrix | Human serum, buffer, stabilizers, and preservative | Same |
| Physico-chemical characteristics | Liquid, ready to use | Same |
| Levels | 2 (negative and positive) | Same |
| Storage | 2-8°C | Same |
| Shelf life | One year | Same |
| Differences | | |
| --- | --- | --- |
| Item | QUANTA Flash SS-B Controls | Predicate Device |
| Method | QUANTA Flash SS-B chemiluminescent immunoassay | QUANTA Lite SS-B ELISA |
| Unit | CU (Chemiluminescent units) (arbitrary) | Units (arbitrary) |
K. Standard/Guidance Document Referenced (if applicable):
1. Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory (C28-A3)
2. Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline-Second Edition (EP05-A2)
3. Interference Testing in Clinical Chemistry; Approved Guideline - Second Edition (EP07-A2)
4. Method Comparison and Bias Estimation Using Patient Samples; Approved Guideline - Second Edition (Interim Revision) (EP09-A2-IR)
5. Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline (EP6-A)
6. Guidance for Industry - Abbreviated 510(k) Submissions for In Vitro Diagnostic Calibrators; Final
L. Test Principle:
Purified recombinant SS-B antigen is coated onto paramagnetic beads. The bead suspension is lyophilized and stored in the bead tube. Prior to use in the BIO-FLASH system, the sealed reagent tubes are pierced with the reagent cartridge lid and the beads are rehydrated and
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resuspended using resuspension buffer by pipetting up and down with a transfer pipette. The reagent cartridge is then 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 buffer in a disposable plastic cuvette. A small amount 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 IgG antibodies are then added to the cuvette, and again incubated at $37^{\circ}\mathrm{C}$ . The beads are magnetically bound to the cuvette wall and washed repeatedly. The isoluminol conjugate is oxidized when the "Triggers" 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 IgG, which is in turn proportional to the amount of anti-SS-B antibodies bound to the SS-B on the beads.
# M. Performance Characteristics:
# 1. Analytical performance:
# a. Precision/Reproducibility:
# Precision/Reproducibility:
The precision of the QUANTA Flash SS-B assay was evaluated on 10 samples containing various concentrations of SS-B antibodies in accordance with CLSI EP5-A2. Samples were run in duplicate, twice a day, for 21 days (total 84 replicates). Data were analyzed with the Analyse-it for Excel method evaluation software, and within run, between run, between day and total precision were calculated for each sample and are summarized in the Table below. All $\% \mathrm{CV}$ values were within the manufacturer's pre-determined acceptance limit of $< 10\%$ .
| QUANTA Flash SS-B | | Within Run Precision | | Between Run Precision | | Between Day Precision | | Total Precision | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample ID | Mean (CU) | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| 120814-70 | 12.4 | 0.4 | 3.5 | 0.0 | 0.0 | 0.6 | 4.6 | 0.7 | 5.8 |
| 110689-25 | 24.3 | 1.4 | 5.8 | 0.0 | 0.0 | 1.6 | 6.7 | 2.2 | 8.9 |
| 110687-120 | 25.0 | 1.2 | 4.7 | 0.3 | 1.1 | 0.8 | 3.2 | 1.5 | 5.8 |
| 110686-40 | 27.9 | 1.0 | 3.6 | 0.2 | 0.7 | 1.0 | 3.6 | 1.4 | 5.1 |
| 110684-20 | 132.7 | 7.6 | 5.8 | 0.0 | 0.0 | 6.1 | 4.6 | 9.8 | 7.4 |
| 120814-02 | 383.5 | 14.2 | 3.7 | 7.9 | 2.1 | 16.5 | 4.3 | 23.2 | 6.0 |
| 110684-04 | 552.3 | 15.7 | 2.8 | 18.3 | 3.3 | 14.7 | 2.7 | 28.2 | 5.1 |
| 110687-02 | 883.3 | 40.3 | 4.6 | 30.2 | 3.4 | 24.3 | 2.7 | 55.9 | 6.3 |
| 000674-12 | 1356.8 | 92.4 | 6.8 | 0.0 | 0.0 | 60.6 | 4.5 | 110.5 | 8.1 |
| 000674-10 | 1539.6 | 99.2 | 6.4 | 36.9 | 2.4 | 34.5 | 2.2 | 111.3 | 7.2 |
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Reproducibility:
Seven samples were tested on two different reagent lots, using two different lots of Calibrators, by two operators. Samples were run in quadruplicate, twice a day, for 10 days, to generate 80 data points. Data were analyzed with the Analyse-it for Excel method evaluation software, and within run, between reagent lots, between calibrator lots, between operators and total precision were calculated and the results are summarized in the Tables below. All %CV values were within the manufacturer's pre-determined acceptance limit of < 10%.
| Quanta FLASH SS-B | | Within Run | | Between Reagent Lots | | Between Calibration | | Between Operators | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean (CU) | SD (CU) | CV (%) | SD (CU) | CV (%) | SD (CU) | CV (%) | SD (CU) | CV (%) | SD (CU) | CV (%) |
| 1 | 11.7 | 0.3 | 2.8 | 0.5 | 4.6 | 0.3 | 2.8 | 0.4 | 3.0 | 0.5 | 3.9 |
| 2 | 26.1 | 0.7 | 2.6 | 0.6 | 2.1 | 1.0 | 3.6 | 0.9 | 3.3 | 0.9 | 3.4 |
| 3 | 124.2 | 2.8 | 2.3 | 2.8 | 2.3 | 7.1 | 5.7 | 4.3 | 3.5 | 5.3 | 4.3 |
| 4 | 640.8 | 23.9 | 3.7 | 50.4 | 7.9 | 50.9 | 7.9 | 43.8 | 6.8 | 50.4 | 7.9 |
| 5 | 252.7 | 5.1 | 2.0 | 15.9 | 6.3 | 13.1 | 5.2 | 9.6 | 3.8 | 13.4 | 5.3 |
| 6 | 1388.7 | 54.6 | 3.9 | 89.8 | 6.5 | 111.7 | 8.0 | 103.6 | 7.5 | 106.9 | 7.7 |
| 7 | 981.9 | 35.3 | 3.6 | 56.4 | 5.7 | 78.4 | 8.0 | 57.2 | 5.8 | 67.9 | 6.9 |
b. Linearity/assay reportable range:
The linearity of the AMR was evaluated by a study according to CLSI EP6-A. Five serum samples with various SS-B antibody concentrations were diluted in 10% increments (from 0% to 90% diluent) with System Rinse to obtain values that cover the AMR. The resulting dilutions were assayed in duplicates, and obtained values were plotted against the expected values, calculated based on the dilution factor. Linear regression analysis was performed on each dataset with the Analyse-it for Excel method evaluation software, and the slope and intercept of the regression line, as well as the R2 values were calculated.
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| Sample | Test Range (CU) | Slope (95% CI) | R² | % Recovery |
| --- | --- | --- | --- | --- |
| 1 | 204.4 - 1507.0 | 1.03 (0.98 to 1.08) | 0.99 | 81.4-100.0 |
| 2 | 155.3 - 1546.8 | 1.04 (0.99 to 1.09) | 0.98 | 80.3-105.0 |
| 3 | 99.0 - 1048.6 | 0.96 (0.92 to 1.00) | 0.99 | 92.6-100.0 |
| 4 | 17.4 - 163.8 | 1.01 (0.97 to 1.05) | 0.99 | 100.0-111.7 |
| 5 | 3.6 - 29.4 | 0.95 (0.91 to 0.99) | 0.99 | 95.7-110.5 |
| All | 3.6 - 1546.8 | 0.98 (0.96 to 1.00) | 0.99 | 80.3-111.7 |
The data indicate that for the claimed analytical measuring range of 3.3 – 1550 CU, all specimens met the manufacturer’s pre-determined linearity and dilutional recovery acceptance criteria.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
**Traceability:**
There are currently no recognized international standards for the measurement of anti-SS-B antibodies.
Calibrator and Control values are directly traceable to in-house standards that are used to create the Master Curves for the QUANTA Flash SS-B assay.
**Value Assignment:**
The QUANTA Flash SS-B Calibrators and Controls are manufactured by diluting human serum that contains high titer of anti-SS-B antibodies with commercial antibody stabilizer, containing preservative. The human serum is obtained from commercial sources and it is tested for markers of infectious substances. The target CU is achieved through trial dilutions on small scale. Once a dilution is selected, the Calibrators and Control are bulked, tested, and adjusted. Upon completion of the manufacturing process, the Calibrators and Controls are tested on at least two instruments, on at least two lots of reagent cartridge, in replicates of 10 to determine final value assignment.
**Stability:**
**Shelf life stability:**
Real time stability testing performed at 3, 6, 9 and 12 months on Calibrators, Controls and reagent cartridge supports a one year expiration claim.
**On-board stability:**
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9
Calibrators:
During assessing on-board stability, Calibrators were placed uncapped, onboard the instrument, and calibration was performed altogether five times over 8.5 hours. Controls and a panel of characterized patient specimens were run on each calibration curve. The manufacturer tested Calibrators are considered stable if all five calibrations performed in the 8.5 hour period are successful, and average Calibrator RLU recovery values are between 90% and 110% compared to the first use. Each Calibrator is measured in triplicate during calibration. The acceptance criteria were met, and the data support the claim that calibrators can be used for up to 4 calibrations over an 8 hour period.
Controls:
During assessment of on-board stability, two vials of each Control were assayed twice a day for a total of 21 runs. The first run was used to establish baseline value, and then an additional 20 runs were performed. During runs, the Controls were left uncapped, onboard the instrument for 15 minutes per run. When not in use, the controls were capped, and stored at 5° ± 3°. Controls are considered stable by the manufacturer when all replicates are within their stated range, and the linear regression line obtained by plotting percent recovery values against the number of runs stays between 85% and 115% at Run 15. All controls ran within their respective acceptable ranges for all runs and the regression line remained between 85% and 115% at Run 15 for both Controls. These results support the claim that controls can be used for up to 15 times, at 10 minutes per use, when stored at the manufacturer’s recommended temperature.
Reagent Cartridge:
To establish the in-use stability of the QUANTA Flash SS-B reagent cartridge, three lots of cartridges were tested with up to six serum specimens along with the Negative and Positive Controls. The specimens were tested periodically up to 69 days.
Using the above criteria, each of the three lots met the manufacturer’s predetermined acceptance criteria for stability at for 57, 60, and 68 days. Based on this, 57 days stability is claimed for the reagent cartridge.
d. Detection limit:
Limit of Blank:
Four blank samples (SS-B: system rinse) from two different lots were run in replicates of five on two reagent lots, once per day, for 3 days. Sixty (60) data points per lot were generated. As the results followed a normal distribution, the LoB for each lot was calculated separately with the Analyse-it for Excel software’s Reference Interval function, at the 95th percentile, using the parametric method. The LoB for the two lots was determined to be 269 RLU and 294 RLU. The claimed LoB value is 294 RLU.
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10
# Limit of Detection:
Four low level samples (prepared by diluting anti-SS-B positive samples with System Rinse) were run in replicates of five on two reagent lots, once per day, for 3 days. Sixty (60) data points per lot were generated for both the LoB and LoD determination on each lot.
LoD was calculated based on the formula published in the CLSI Guideline EP17-A:
$$
\mathrm{LoD} = \mathrm{LoB} + \left(\mathrm{c_p} \cdot \mathrm{SD_L}\right)
$$
where:
$$
\mathrm{c_p} = 1.645 / (1 - 1 / (4 \cdot \mathrm{f}))
$$
f = (# of total data points) – (# of samples used)
$\mathrm{SD_L} =$ Average of the SD’s for all samples
The LoD of the QUANTA Flash SS-B assay for the two lots were determined to be 360 and 398 RLU, which are below the value of the lowest QUANTA Flash SSB Master Curve standard, and therefore below the Analytical Measuring Range of the assay, e.g. $< 3.3$ CU. The claimed LoD is 398 RLU.
e. Analytical specificity:
## Interference:
The studies were performed according to CLSI EP07-A2, Interference Testing in Clinical Chemistry, Approved Guideline- Second Edition. Three specimens, a high positive (200.3 CU), a low positive (25.5 CU) and a negative (15.4 CU) were tested.
Interfering substances were spiked into every specimen at three different concentrations (final min and max concentrations as follows: hemoglobin 50-200 mg/dL; bilirubin 2.5-10 mg/dL; triglycerides 250-1000 mg/dL; rheumatoid factor 100-500 IU/mL) in 10% of total specimen volume, and the resulting samples were assessed in triplicate with the SS-B assay. Recovery of the unit values was calculated compared to control samples spiked with the same volume of diluent (10% of total).
No interference ($\leq 10\%$) was detected with bilirubin up to $10~\mathrm{mg/dL}$; hemoglobin up to $200~\mathrm{mg/dL}$, triglycerides up to $1,000~\mathrm{mg/dL}$. cholesterol up to $224.3~\mathrm{mg/dL}$. The three specimens spiked with Rheumatoid Factor 1gM up to $500~\mathrm{IU/mL}$ showed recovery from $91\%$ to $112\%$.
## Cross Reactivity:
Cross reactivity was investigated using international reference sera from the Center of Disease Control and Prevention (CDC). The CDC ANA reference sera #2 (reference serum for human antibodies to SS-B/La) and #3 (reference serum, fluorescence antinuclear antibody, speckled pattern) was tested for SS-B and produced the following results: CDC ANA #2: 1634.9 CU; CDC ANA #3: 284.1 CU. The other 10 reference sera in the panel were analyzed and found to be negative for SS-B by this assay.
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f. Assay cut-off:
The assay cut-off is 20 CU. Results < 20 CU should be reported as negative and results ≥ 20 CU should be reported as positive.
2. Comparison studies:
a. Method comparison with predicate device:
Samples for method comparison analysis included 639 samples from the clinical validation studies (below) that had predicate ELISA results available. The cohort consisted of Sjögren’s syndrome (n = 40) and SLE patients (n = 240) and relevant disease controls (n = 359). No healthy controls were included in this cohort. Of the 639 samples, 142 samples fell within the analytical measuring range of the QUANTA Flash SS-B.
| | SS-B ELISA | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| QUANTA Flash® SS-B CIA | Positive | 48 | 7 | 55 |
| | Negative | 6 | 81 | 87 |
| | Total | 54 | 88 | 142 |
Positive Agreement (48/54) = 88.9% (95% C.I. = 77.4 – 95.8%)
Negative Agreement (81/88) = 92.0% (95% C.I. = 84.3 – 96.7%)
Total Agreement (129/142) = 90.8% (95% C.I. = 84.9 – 95.0%)
b. Matrix comparison:
Not applicable since human serum is the only claimed specimen matrix.
3. Clinical studies:
a. Clinical Sensitivity and Specificity:
A cohort of characterized samples from serum libraries or on leftover serum specimens was used to validate the clinical performance of the QUANTA Flash SS-B. A total of 761 characterized samples were included in the Validation Set for the QUANTA Flash SS-B. All samples were run on the QUANTA Flash SS-B. Samples from patients with secondary antiphospholipid syndrome (APS) were excluded from the sensitivity and specificity calculations as primary diagnosis is not known.
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12
| | Diagnosis - SLE | | | |
| --- | --- | --- | --- | --- |
| | | SLE | Controls (excluding SS) | Total |
| QUANTA Flash SS-B | Positive | 38 | 9 | 47 |
| | Negative | 252 | 407 | 659 |
| | Total | 290 | 416 | 706 |
Sensitivity = 13.1% (95% C.I. = 9.4 – 17.5%)
Specificity = 98.0% (95% C.I. = 96.0 – 99.1%)
| | Diagnosis - SS | | | |
| --- | --- | --- | --- | --- |
| | | SS | Controls (excluding SLE) | Total |
| QUANTA Flash SS-B | Positive | 14 | 9 | 23 |
| | Negative | 26 | 407 | 433 |
| | Total | 40 | 416 | 456 |
Sensitivity = 35.0% (95% C.I. = 20.6–1.7%)
Specificity = 97.8% (95% C.I. = 96.0–99.1%)
The distribution of the cohort and the SS-B positivity rate is in the Table below:
| Cohort | # | # pos | % pos |
| --- | --- | --- | --- |
| SLE | 290 | 38 | 13.1% |
| SS | 40 | 14 | 35.0% |
| Ulcerative colitis | 20 | 0 | 0.0% |
| Graves' Disease | 19 | 0 | 0.0% |
| Hashimoto's Thyroiditis | 21 | 0 | 0.0% |
| Non-autoimmune thyroid disease | 43 | 0 | 0.0% |
| Crohn's disease | 20 | 0 | 0.0% |
| HCV | 10 | 0 | 0.0% |
| HBV | 10 | 0 | 0.0% |
| HIV | 5 | 0 | 0.0% |
| Syphilis | 5 | 0 | 0.0% |
| Osteoarthritis | 20 | 1 | 5.0% |
| Primary Antiphospholipid Syndrome* | 15 | 0 | 0.0% |
| Secondary Antiphospholipid Syndrome* | 15 | 0 | 0.0% |
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| Other Rheumatic Diseases *** | 40 | 1 | 2.5% |
| --- | --- | --- | --- |
| Vasculitis | 1 | 0 | 0.0% |
| Systemic Sclerosis (SSc) | 89 | 1 | 1.1% |
| Autoimmune Myositis | 2 | 0 | 0.0% |
| Rheumatoid Arthritis | 70 | 4 | 5.7% |
| Autoimmune liver disease group #1 | 2 | 1 | 50.0% |
| Autoimmune liver disease group #2** | 24 | 1 | 4.2 |
*Samples from patients with secondary antiphospholipid syndrome (APS) were excluded from the sensitivity and specificity calculations as primary diagnosis is not known. Other Rheumatic Diseases category was comprised of the following entities:
Gout, n=2; Gonarthrosis, Polymyalgia rheumatica, n=1; Poluarteriitis nodosa, n=2; Polymyalgia rheumatica, n=10; Psoriatic arthritis, n=13; Psoriatic arthritis, Synovitis Acne Pustulosis Hyperostosis Osteitis, n=1; Sarcoidosis, n=1; Seronegative spondylarthritis, n=10.
4. Clinical cut-off:
There is no clinically accepted cut-off defined for this analyte.
5. Expected values/Reference range:
The expected value in the normal population is "negative". Anti-SS-B autoantibody levels were analyzed in a cohort of 138 apparently healthy blood donors (118 females and 20 males, ages 17 to 60 years, with an average age of 32.8 years and median age of 31 years) using the QUANTA Flash SS-B. This patient population was different from that used to establish the cut-off, and was only used to assess expected values. At the cut-off of 20 CU, one (0.7 %) sample was positive. The mean concentration was < 3.3 CU, and the values ranged from <3.3 to 28.7 CU.
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.