The sponsor used a retrospective cohort of 633 characterized patient samples to validate clinical sensitivity and specificity, and a cohort of 242 subjects to establish reference intervals.
QUANTA Flash LKM-1 is a chemiluminescent immunoassay for the semi-quantitative determination of IgG anti-liver/kidney microsome type 1 antibodies in human serum. The presence of anti-liver/kidney microsome type 1 antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of autoimmune hepatitis type 2. QUANTA Flash LKM-1 Calibrators are intended for use with the QUANTA Flash LKM-1 Reagents for the determination of IgG anti-LKM-1 autoantibodies in human serum. Each calibrator establishes a point of reference for the working curve that is used to calculate unit values. QUANTA Flash LKM-1 Controls are intended for use with the QUANTA Flash LKM-1 Reagents for quality control in the determination of IgG anti-LKM-1 autoantibodies in human serum.
Device Story
Device is a chemiluminescent immunoassay for detecting IgG anti-LKM-1 antibodies in human serum; used on BIO-FLASH automated analyzer. Input: patient serum sample. Process: sample diluted and combined with recombinant LKM-1 antigen-coated paramagnetic beads; incubated at 37°C; washed; isoluminol-conjugated anti-human IgG added; incubated; washed; trigger reagents added to induce luminescence. Output: Relative Light Units (RLU) measured by optical system; software converts RLU to chemiluminescent units (CU) using a lot-specific Master Curve and instrument-specific Working Curve. Used in clinical laboratories by trained personnel. Results aid clinicians in diagnosing autoimmune hepatitis type 2 in conjunction with other clinical/laboratory findings.
Clinical Evidence
Clinical validation study included 633 samples: 26 AIH-2 patients and 607 controls (various liver/gastrointestinal/autoimmune/infectious diseases). Clinical sensitivity was 76.9% (95% CI: 56.4–91.0%) and clinical specificity was 98.0% (95% CI: 96.6–99.0%). Method comparison against predicate (n=119) showed high agreement.
Technological Characteristics
Recombinant cytochrome P450 2D6 antigen on paramagnetic beads; isoluminol-conjugated anti-human IgG tracer. Chemiluminescent detection. Automated system (BIO-FLASH). AMR: 1.6-400.0 CU. Storage 2-8°C. Shelf life 1 year. Software-controlled processing.
Indications for Use
Indicated for the semi-quantitative determination of IgG anti-liver/kidney microsome type 1 (LKM-1) antibodies in human serum to aid in the diagnosis of autoimmune hepatitis type 2. Prescription use only.
Regulatory Classification
Identification
A multiple autoantibodies immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the autoantibodies (antibodies produced against the body's own tissues) in serum and other body fluids. Measurement of multiple autoantibodies aids in the diagnosis of autoimmune disorders (disease produced when the body's own tissues are injured by autoantibodies).
Predicate Devices
QUANTA Lite® LKM-1 ELISA (k000535)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K163538
B. Purpose for Submission:
New assay device on previously cleared instrument
C. Measurand:
Anti-liver/kidney microsome type 1 antibodies (IgG)
D. Type of Test:
Chemiluminescence, semi-quantitative
E. Applicant:
INOVA Diagnostics, Inc.
F. Proprietary and Established Names:
QUANTA Flash® LKM-1
QUANTA Flash® LKM-1 Calibrators
QUANTA Flash® LKM-1 Controls
G. Regulatory Information:
1. Regulation section:
21 CFR § 866.5660, Multiple Autoantibodies Immunological Test System
21 CFR § 862.1150, Calibrator
21 CFR § 862.1660, Quality Control Material (assayed and unassayed)
2. Classification:
Class II
Class I (reserved)
3. Product code:
NBS – Autoantibodies, LKM-1 (liver/kidney microsome type 1)
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JIT – Calibrator, Secondary
JJX – Single (Specified) Analyte Controls (Assayed and Unassayed)
4. Panel:
Immunology (82) (Assay)
Clinical Chemistry (75) (Calibrators and Controls)
H. Intended Use:
1. Intended uses:
QUANTA Flash LKM-1 is a chemiluminescent immunoassay for the semi-quantitative determination of IgG anti-liver/kidney microsome type 1 antibodies in human serum. The presence of anti-liver/kidney microsome type 1 antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of autoimmune hepatitis type 2.
QUANTA Flash LKM-1 Calibrators are intended for use with the QUANTA Flash LKM-1 Reagents for the determination of IgG anti-LKM-1 autoantibodies in human serum. Each calibrator establishes a point of reference for the working curve that is used to calculate unit values.
QUANTA Flash LKM-1 Controls are intended for use with the QUANTA Flash LKM-1 Reagents for quality control in the determination of IgG anti-LKM-1 autoantibodies in human serum.
2. Indications for use:
Same as Intended Use.
3. Special conditions for use statements:
The device is for prescription use only.
4. Special instrument requirements:
BIO-FLASH® Chemiluminescent Analyzer (K083518, K094060)
I. Device Description:
The QUANTA Flash LKM-1 kit includes one QUANTA Flash LKM-1 Reagent Cartridge, one vial of resuspension buffer, and one transfer pipette. The QUANTA Flash LKM-1 reagent cartridge contains the following reagents for 50 determinations:
- LKM-1 coated paramagnetic beads, lyophilized
- Assay buffer
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- Tracer IgG, isoluminol labeled anti-human IgG antibodies in buffer containing protein stabilizers and preservative
The QUANTA Flash LKM-1 Calibrators are sold separately and contain two vials each of Calibrator 1, 2, and 3. These calibrators contain human antibodies to LKM-1 in stabilizers and preservatives. Each calibrator has two barcode labeled tubes containing $0.3\mathrm{mL}$ prediluted, ready to use reagent.
The QUANTA Flash LKM-1 Controls are sold separately and contain two vials each of Negative Control and Positive Control. These controls contain human antibodies to LKM-1 in stabilizers and preservatives. Each control has two barcode labeled tubes containing 0.5 mL ready to use reagent.
# J. Substantial Equivalence Information:
1. Predicate device name:
QUANTA Lite LKM-1 ELISA
2. Predicate $510(\mathrm{k})$ number:
K000535
3. Comparison with predicate:
QUANTA Flash® LKM-1 Reagents
| Similarities | | |
| --- | --- | --- |
| Item | Device QUANTA Flash LKM-1 | Predicate QUANTA Lite LKM-1 ELISA |
| Intended Use | QUANTA Flash LKM-1 is a chemiluminescent immunoassay for the semi-quantitative determination of IgG anti-liver/kidney microsome type 1 antibodies in human serum. The presence of anti-liver/kidney microsome type 1 antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of autoimmune hepatitis type 2. | QUANTA Lite LKM-1 is an enzyme-linked immunosorbent assay (ELISA) for the semi-quantitative detection of LKM-1 antibodies in human serum. The presence of LKM-1 antibodies, in conjunction with clinical findings and other laboratory tests, is an aid in the diagnosis of autoimmune hepatitis, type 2. |
| Assay Methodology | Solid phase (heterogeneous) immunoassay | Same |
| Antigen | Recombinant LKM-1 | Same |
| Shelf Life | One year at 2–8 °C | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash LKM-1 | Predicate
QUANTA Lite LKM-1 ELISA |
| Sample Type | Serum | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash LKM-1 | Predicate
QUANTA Lite LKM-1 ELISA |
| Detection/Operating Principle | Chemiluminescent immunoassay | Enzyme-linked immunosorbent assay |
| Solid phase | Paramagnetic microparticles (beads) | 96-well polystyrene plate |
| Conjugate | Isoluminol conjugated anti-human IgG | HRP conjugated anti-human IgG |
| Calibration | Lot specific Master Curve + three calibrators (sold separately) | LKM-1 ELISA Low Positive (single calibrator) - (Included in the kit) |
| Units | CU (Chemiluminescent units) | Units (arbitrary) |
| Measuring range | 1.6 – 400.0 CU | 0 – 100 Units |
| Cut-off | Negative: <20 CU
Positive: ≥20 CU | Negative: 0.0–20.0 Units
Equivocal: 20.1–24.9 Units
Positive: >25 Units |
## QUANTA Flash LKM-1 Calibrators
| Similarities | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash LKM-1 Calibrators | Predicate |
| Analyte | Anti-LKM-1 autoantibodies | Same |
| Matrix | Human serum, stabilizer, and preservative | Same |
| Physico-chemical characteristics | Liquid, prediluted, ready to use | Same |
| Shelf life | One year at 2–8°C | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash LKM-1 Calibrators | Predicate |
| Intended Use | QUANTA Flash LKM-1 Calibrators are intended for use with the QUANTA Flash LKM-1 Reagents for the determination of IgG anti-LKM-1 autoantibodies in human serum. Each calibrator establishes a point of reference for the working curve that is | No separate intended use; calibrator is part of the kit. |
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| Differences | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash LKM-1 Calibrators | Predicate |
| | used to calculate unit values. | |
| Method | QUANTA Flash LKM-1
chemiluminescent immunoassay | QUANTA Lite LKM-1
ELISA |
| Units | CU (arbitrary) | Units (arbitrary) |
QUANTA Flash LKM-1 Controls
| Similarities | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash LKM-1 Controls | Predicate |
| Analyte | Anti-LKM-1 autoantibodies | Same |
| Physico-chemical characteristics | Liquid, prediluted, ready to use | Same |
| Shelf life | One year at 2-8°C | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device
QUANTA Flash LKM-1 Controls | Predicate |
| Intended use | QUANTA Flash LKM-1 Controls are intended for use with the QUANTA Flash LKM-1 Reagents for quality control in the determination of IgG anti-LKM-1 autoantibodies in human serum. | No separate intended use; controls are part of the kit. |
| Levels | 2 (negative and positive) | 3 (negative, low positive and high positive) |
| Units | CU (arbitrary) | Units (arbitrary) |
# K. Standard/Guidance Document Referenced:
- CLSI EP05-A3, Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline-Third Edition
- CLSI EP6-A, Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach
- CLSI EP07-A2, Interference Testing in Clinical Chemistry
- CLSI EP09-A3, Measurement Procedure Comparison & Bias estimation using patient samples
- CLSI EP17-A2, Protocols for Determination of Limits of Detection and Limits of Quantitation
- CLSI C28-A3c, Defining, Establishing and Verifying Reference Intervals in the Clinical Laboratory
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L. Test Principle:
Recombinant cytochrome P450 2D6 (LKM-1) antigen is coated on to paramagnetic beads, which are stored in the reagent cartridge lyophilized. When the assay cartridge is ready to be used for the first time, a buffer solution is added to the tube containing the beads, and the beads are resuspended with the buffer. The reagent cartridge is then loaded onto the BIO-FLASH instrument.
A patient serum sample is diluted by the instrument using system rinse in a disposable plastic cuvette. An aliquot of the diluted patient serum, LKM-1 coupled beads, and assay buffer are combined into a second cuvette, and mixed. This cuvette is incubated at 37°C. The beads are then magnetized and washed several times. Isoluminol conjugated anti-human IgG antibody is then added to the cuvette, and incubated at 37°C. Again, the beads are magnetized and washed repeatedly. The isoluminol conjugate produces a luminescent reaction when “Trigger” reagents are added to the cuvette. The light produced from this reaction is measured as Relative Light Units (RLU) by the BIO-FLASH optical system. RLU values are proportional to the amount of bound isoluminol conjugate, which in turn is proportional to the amount of anti-LKM-1 antibodies bound to the antigen on the beads.
The QUANTA Flash LKM-1 assay utilizes a predefined lot specific Master Curve that is uploaded into the instrument through the reagent cartridge barcode. Based on the results obtained by running the 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: The results presented below were within the sponsor’s predetermined acceptance criteria for each study.
a. Precision/Reproducibility:
Precision:
The precision of the QUANTA Flash LKM-1 assay was evaluated on eight samples containing various concentrations of anti-LKM-1 antibodies in accordance with CLSI EP05-A3. Samples were run in duplicates, twice a day, for 20 days. Within-run, between-run, between-day and total imprecision were calculated and are summarized in the table below.
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| Sample | N | Mean (CU) | Within-Run | | Between-Run | | Between-Day | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 80 | 9.2 | 0.6 | 6.4 | 0.0 | 0.0 | 0.1 | 1.3 | 0.6 | 6.5 |
| 2 | 80 | 14.7 | 0.3 | 2.0 | 0.2 | 1.5 | 0.6 | 3.8 | 0.7 | 4.5 |
| 3 | 80 | 16.5 | 0.5 | 3.2 | 0.0 | 0.0 | 0.4 | 2.3 | 0.6 | 3.9 |
| 4 | 80 | 17.5 | 0.4 | 2.4 | 0.4 | 2.1 | 0.3 | 1.5 | 0.6 | 3.5 |
| 5 | 80 | 44.7 | 1.1 | 2.4 | 1.6 | 3.6 | 0.7 | 1.6 | 2.1 | 4.6 |
| 6 | 80 | 101.1 | 2.0 | 2.0 | 3.9 | 3.9 | 2.2 | 2.2 | 4.9 | 4.9 |
| 7 | 80 | 201.4 | 7.2 | 3.6 | 9.4 | 4.6 | 12.4 | 6.2 | 17.1 | 8.5 |
| 8 | 80 | 353.7 | 16.6 | 4.7 | 14.4 | 4.1 | 17.9 | 5.1 | 28.4 | 8.0 |
## Site-to-Site Reproducibility:
Five samples containing various concentrations of anti-LKM-1 antibodies were tested at three different sites. The samples were run in replicates of five, once a day, for five days, to generate 25 data points per sample, per site. Between site precision was calculated and summarized in the table below.
| Sample | N | Mean (CU) | Within-Run | | Between-Day | | Within-Site | | Between-Site | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 75 | 10.7 | 0.9 | 8.7 | 0.0 | 0.0 | 0.4 | 3.8 | 0.8 | 7.8 | 0.9 | 8.7 |
| 2 | 75 | 22.0 | 1.2 | 5.2 | 0.0 | 0.0 | 0.4 | 2.0 | 1.1 | 4.8 | 1.2 | 5.2 |
| 3 | 75 | 30.1 | 1.8 | 6.0 | 0.0 | 0.0 | 0.7 | 2.2 | 1.7 | 5.6 | 1.8 | 6.0 |
| 4 | 75 | 108.9 | 9.4 | 8.7 | 0.0 | 0.0 | 3.3 | 3.0 | 8.9 | 8.1 | 9.4 | 8.7 |
| 5 | 75 | 343.2 | 21.6 | 6.3 | 8.7 | 2.5 | 14.7 | 4.3 | 15.8 | 4.6 | 23.3 | 6.8 |
## Lot-to-Lot Reproducibility:
Four samples were tested using three different reagent lots at one site. Samples were run in replicates of five, once a day, for five days, to generate 25 data points per sample, per lot (total 75 replicates). Results are summarized in the table below.
| Sample | Mean (CU) | Between-Lot | |
| --- | --- | --- | --- |
| | | SD | CV (%) |
| 1 | 20.9 | 0.8 | 3.9% |
| 2 | 28.3 | 1.1 | 4.0% |
| 3 | 102.3 | 3.7 | 3.7% |
| 4 | 352.9 | 40.9 | 11.6% |
## b. Linearity/assay reportable range:
### Linearity:
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The analytical measuring range (AMR) of the assay is 1.6 CU to 400.0 CU. The linearity of the AMR was evaluated by a study designed according to CLSI EP6-A. Five serum samples with various anti-LKM-1 antibody concentrations were serially diluted in analyte free serum to obtain values that cover the AMR. Each dilution was tested in duplicate. The linear regression analysis with samples falling within the AMR resulted in the following equation:
| Sample | Test Range (CU) | Slope (95% CI) | Y-intercept (95% CI) | R² | Average % Recovery |
| --- | --- | --- | --- | --- | --- |
| 1 | 1.7–16.6 | 1.08 (1.03–1.13) | -0.8 (-1.3– -0.3) | 1.00 | 93.8% |
| 2 | 2.1–20.9 | 0.98 (0.95–1.01) | 0.3 (-0.2–0.7) | 1.00 | 102.3% |
| 3 | 15.8–158.2 | 0.97 (0.94–1.00) | 4.8 (1.5–8.1) | 1.00 | 104.4% |
| 4 | 22.9–229.0 | 1.00 (0.93–1.06) | -5.9 (-15.0–3.3) | 0.99 | 93.8% |
| 5 | 41.1–411.2 | 0.96 (0.91–1.02) | -4.7 (-19.6–10.2) | 0.99 | 94.2% |
| All samples | 1.7–411.2 | 0.95 (0.94–0.97) | 1.0 (-1.2–3.2) | 1.00 | 97.7% |
## Hook effect:
Two high positive samples having anti-LKM-1 antibody concentration above assay measuring range (743.2 CU and 13,812.8 CU) were examined to assess potential hook effect. No hook effect was observed up to 13,812.8 CU.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
## Traceability:
There is no recognized standard or reference material for anti-LKM-1 antibodies. Calibrators and controls values are directly traceable to the in-house standards.
## Value Assignment:
The QUANTA Flash LKM-1 Calibrators and Controls are manufactured by diluting human serum that contains high titer of anti-LKM-1 antibodies. The target CU is achieved through trial dilutions on a small scale. Once a dilution is selected, the Calibrators and Controls 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 five to obtain a minimum of 10 data points to determine final value assignment. The target values and ranges for the Calibrators and Controls are listed below:
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| | Target Value (CU) | Target Range (CU) |
| --- | --- | --- |
| QUANTA Flash® LKM-1 Calibrators | | |
| Calibrator 1 | 10 | 8–12 |
| Calibrator 2 | 100 | 80–120 |
| Calibrator 3 | 325 | 300–350 |
| QUANTA Flash® LKM-1 Controls | | |
| Negative control | 10 | 8–12 |
| Positive control | 50 | 40–60 |
## Stability:
Kit stability (unopened): The accelerated stability study was performed using three lots of LKM-1 coupled beads, resuspension buffer 7, calibrators, and controls. Real-time stability is on-going; the results to date support a claim of 12 months stability for unopened reagent cartridge and up to 6 months on calibrators and controls stored at 2–8°C.
On-board (In-use) stability: On-board stability study was performed for calibrators, controls and reagent cartridge:
i. Calibrators: Calibrators were placed uncapped, onboard the instrument, and calibration was performed five times over 9 hours. Controls and a panel of characterized patient specimens were run on each calibration curve.
ii. Controls: Two vials of each control were assayed once a day for a total of 20 runs. The first run was used to establish baseline value, and then an additional 19 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°C ± 3°C.
iii. Reagent Cartridge: Two lots of cartridges were tested with five serum specimens (with different reactivity levels) along with the Negative and Positive Controls. The specimens were tested periodically up to 62 days. Percent recoveries were calculated compared to the day zero average values, and linear regression analysis was performed by plotting % recovery against the number of days.
All results met the manufacturer’s acceptance criteria and support the following on-board stability claims:
| Calibrators | 8 hours on-board; up to 4 calibrations |
| --- | --- |
| Controls | Up to 15 uses with 10 min on-board per use |
| Reagent Cartridge | 60 days on-board |
Sample stability: The study was performed with four samples (one negative, one positive, and two around the cut-off), tested at 2–8°C, and room temperature (RT). In addition, the samples were tested for the stability after up to three repeated freeze/thaw cycles. The results support sample stability up to 48 hours of storage at RT, up to 14 days of storage at 2–8°C, and up to three freeze/thaw cycles when
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samples are stored at or below -20°C.
## d. Detection limit:
The Limit of Blank (LoB) was determined by assaying four blank samples in five replicates per sample over three days with two reagent lots. Sixty data points were generated. LoB was calculated at the 95th percentile using the parametric method, as the dataset showed non-normal distribution. The LoB of both two lots was below the measuring range and was determined to be 0.00 CU and 0.14 CU. The claimed LoB was determined to be 0.14 CU.
The Limit of Detection (LoD) was determined by assaying four low-level samples with anti-LKM-1 antibody concentration tested in five replicates over three days on two reagent lots (60 replicates per lot). The LoD of the QUANTA Flash LKM-1 assay for the two lots were below the measuring range and was determined to be 0.24 CU and 0.26 CU. The claimed LoD is 0.26 CU.
The Limit of Quantitation (LoQ) was determined based on the data generated from the LoD testing with a total error (TE) goal of 25%. The claimed LoQ is 1.6 CU.
## e. Analytical specificity:
The interference study was performed according to CLSI EP07-A2 using six specimens, one high positive (290.9 CU), one moderately positive (124.8 CU), one low positive (28.9 CU), two near the cutoff (17.0 and 25.1 CU), and one negative (12.3 CU). Each interfering substance (hemoglobin, conjugated bilirubin, triglycerides, cholesterol, human IgG and RF IgM) was spiked into every specimen at three different concentrations in 10% of total specimen volume. Each resulting sample was assessed in triplicates with the QUANTA Flash LKM-1 assay. Recovery of the unit values was calculated compared to control samples spiked with the same volume of diluents. No interference was detected with conjugated bilirubin up to 1 mg/mL, hemoglobin up to 2 mg/mL, triglycerides up to 1000 mg/dL, cholesterol up to 332.5 mg/dL, human IgG up to 35 mg/mL, and rheumatoid factor IgM up to 153.4 IU/mL.
Additionally, four samples, one negative (2.3 CU), two around the cutoff (19.9 and 21.1 CU) and one low positive (31.1 CU) were tested to assess the interference caused by corticosteroids (prednisone), azathioprine and interferon alpha by using the same methodology described above. No interference was detected with corticosteroids (prednisone) up to 0.3 mg/L, azathioprine up to 2.99 mg/L and interferon alpha up to 0.33 mg/L.
## f. Assay cut-off:
The assay cut-off was determined using 242 samples from reference subjects as shown in the table below. The cut-off was established as 20 CU based on the 99th
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percentile of the results obtained on the reference subjects.
| Sample Group | N |
| --- | --- |
| Apparently healthy blood donors | 120 |
| Celiac Disease | 20 |
| Rheumatoid Arthritis | 31 |
| Infectious Disease (HBV, HCV, HIV) | 30 |
| Liver Diseases (AIH-1, PBC) | 39 |
| Myositis | 2 |
| Total | 242 |
# 2. Comparison studies:
# a. Method comparison with predicate device:
Samples for the method comparison analysis included 334 samples from the clinical validation study, along with additional 10 pooled samples that yield results around the cut-off. All samples were tested on both the QUANTA Flash LKM-1 and on the predicate device. Among 334 samples, a total of 119 samples within the assay measuring ranges of both assays were included in the method comparison analysis. The results are summarized below:
| Equivocal Range of Predicate as Positive | QUANTA Lite LKM-1 ELISA | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| QUANTA Flash LKM-1 | Positive | 27 | 1 | 28 |
| | Negative | 5 | 86 | 91 |
| | Total | 32 | 87 | 119 |
| Positive agreement: 84.4% (95% CI: 68.2% – 93.1%)Negative agreement: 98.9% (95% CI: 93.8% – 99.8%)Total Agreement: 95.0% (95% CI: 89.4% – 97.7%) | | | | |
| Equivocal Range of Predicate as Negative | QUANTA Lite LKM-1 ELISA | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| QUANTA Flash LKM-1 | Positive | 25 | 3 | 28 |
| | Negative | 1 | 90 | 91 |
| | Total | 26 | 93 | 119 |
| Positive agreement: 96.2% (95% CI: 81.1% – 99.3%)Negative agreement: 96.8% (95% CI: 90.9% – 98.9%)Total Agreement: 96.6% (95% CI: 91.7% – 98.7%) | | | | |
# b. Matrix comparison:
Not applicable
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3. Clinical studies:
a. Clinical Sensitivity and Specificity:
A total of 633 samples were included in the clinical validation study for the QUANTA Flash LKM-1 assay. This validation set included 26 samples from Autoimmune Hepatitis Type 2 (AIH-2) patients, and 607 control samples from patients with various types of liver and gastroenterological diseases, other autoimmune syndromes, and various infectious diseases. Clinical sensitivity and specificity summary of the QUANTA Flash LKM-1 are shown in the table below:
| | Clinical Diagnosis of AIH-2 | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| QUANTA Flash LKM-1 | Positive | 20 | 12 | 32 |
| | Negative | 6 | 595 | 601 |
| | Total | 26 | 607 | 621 |
Clinical Sensitivity: 76.9% (95% CI: 56.4 – 91.0%)
Clinical Specificity: 98.0% (95% CI: 96.6 – 99.0%)
Distribution of samples and anti-LKM-1 antibody positivity rate in the validation study are tabulated as follows:
| | N | N of Positive | % Positive |
| --- | --- | --- | --- |
| Target Disease | | | |
| Autoimmune Hepatitis type 2 (AIH-2) | 26 | 20 | 76.9% |
| | | | |
| Control Disease | | | |
| Autoimmune Hepatitis type 1 (AIH-1) | 51 | 0 | 0.0% |
| Primary Biliary Cirrhosis | 75 | 0 | 0.0% |
| Primary Sclerosing Cholangitis | 33 | 0 | 0.0% |
| Liver Cancer | 10 | 0 | 0.0% |
| Alcoholic Liver Disease | 35 | 0 | 0.0% |
| Celiac Disease | 43 | 0 | 0.0% |
| Hepatitis B virus | 31 | 0 | 0.0% |
| Hepatitis C virus* | 30 | 12 | 40.0% |
| Syphilis | 10 | 0 | 0.0% |
| Ulcerative Colitis | 26 | 0 | 0.0% |
| Crohn's Disease | 14 | 0 | 0.0% |
| Limited scleroderma | 15 | 0 | 0.0% |
| Dermatomyositis | 7 | 0 | 0.0% |
| Systemic Lupus Erythematosus | 33 | 0 | 0.0% |
| Sjogren’s Syndrome | 4 | 0 | 0.0% |
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| | N | N of Positive | % Positive |
| --- | --- | --- | --- |
| Polymyositis | 1 | 0 | 0.0% |
| Autoimmune Endocrine Disease | 60 | 0 | 0.0 % |
| Rheumatoid Arthritis | 30 | 0 | 0.0 % |
| Non-Alcoholic Fatty Liver Disease | 30 | 0 | 0.0 % |
| Genetic Diseases with Hepatic Involvement | 30 | 0 | 0.0 % |
| Skin Lesions | 30 | 0 | 0.0 % |
| Drug-induced Liver Injuries | 9 | 0 | 0.0 % |
| Total of Controls | 607 | 12 | 2.0% |
* LKM-1 antibody positivity has been described in patients with Hepatitis C virus infection. These are also stated in the Summary and Explanation of the Test, and Limitations of the Procedure sections of the Package Insert..
b. Other clinical supportive data (when a. is not applicable):
Not applicable
4. Clinical cut-off:
Same as assay cut-off
5. Expected values/Reference range:
The expected value in the normal population is "negative". Anti-LKM-1 antibody levels were verified using the QUANTA Flash LKM-1 on a panel of 100 apparently healthy blood donors (50 females/50 males, ages 17 to 57 years, with an average and median age of 34 years). With a cut-off of 20 CU, all samples were negative with the QUANTA Flash LKM-1. The mean concentration was <1.6 CU with the values ranging from <1.6 to 3.6 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.