ELIA DSDNA IMMUNOASSAY, MODEL 14-5500-01, ELIA ANA CONTROL, MODEL 83-1004-01
K072393 · Phadia US, Inc. · LSW · Dec 7, 2007 · Immunology
Device Facts
Record ID
K072393
Device Name
ELIA DSDNA IMMUNOASSAY, MODEL 14-5500-01, ELIA ANA CONTROL, MODEL 83-1004-01
Applicant
Phadia US, Inc.
Product Code
LSW · Immunology
Decision Date
Dec 7, 2007
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.5100
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K072393 · Dec 7, 2007
ELIA DSDNA IMMUNOASSAY, MODEL 14-5500-01, ELIA ANA CONTROL, MODEL 83-1004-01
Phadia US, Inc.
Clinically defined patient sera
The device performance was validated using a dataset that included results from clinically defined patient sera and samples from apparently healthy subjects to demonstrate substantial equivalence to the predicate device.
Clinically defined sera; Diagnostic validation; Retrospective clinical samples
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective analysis of clinically defined sera
Patients with clinically defined conditions (SLE) and apparently healthy subjects
Predicate device (DPC anti-DNA, K874873)
Substantial equivalence/comparability of test results
Indications for Use
EliA™ dsDNA is intended for the in vitro quantitative measurement of IgG antibodies directed to dsDNA in human serum and plasma (heparin, EDTA, citrate) as an aid in the diagnosis of systemic lupus erythematosus (SLE) in conjunction with other laboratory and clinical findings. EliA™ dsDNA uses the EliA IgG method on the instrument ImmunoCAP 100 and ImmunoCAP 250. EliA™ ANA Control is intended for laboratory use in monitoring the performance of in vitro measurement of antinuclear antibodies (ANA) with ImmunoCAP 100 or ImmunoCAP 250 using the EliA IgG method.
Device Story
Fully automated fluorescence-immunoassay system for immunodiagnostic testing. Inputs: human serum or plasma samples. Principle: EliA wells coated with double-stranded plasmid DNA capture anti-dsDNA antibodies; mouse anti-human IgG beta-galactosidase conjugate added; 4-Methylumbelliferyl-BD-Galactoside substrate used for fluorescence detection. Instrument (ImmunoCAP 100/250) measures fluorescence; response compared to WHO-standardized IgG calibration curve. Used in clinical laboratories by trained personnel. Output: quantitative IgG antibody levels. Results aid clinicians in SLE diagnosis alongside other clinical findings. System includes automated software for result evaluation and calibration curve storage (up to 28 days).
Clinical Evidence
Comparison study performed between the new device and the predicate device. Data set included results from clinically defined sera and samples from apparently healthy subjects (normal population).
Technological Characteristics
Fluoroenzyme immunoassay; wells coated with double-stranded plasmid DNA. Detection via β-galactosidase-labeled anti-human IgG conjugate. Fluorescence measured at 37°C. Fully automated on ImmunoCAP 100/250 platforms. Modular reagent format. Calibration traceable to WHO IRP 67/86. Software-controlled calibration curve storage (28 days).
Indications for Use
Indicated for the in vitro quantitative measurement of IgG antibodies to dsDNA in human serum and plasma as an aid in the diagnosis of systemic lupus erythematosus (SLE).
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).
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k072393
B. Purpose for Submission:
New device
C. Measurand:
Anti-DNA antibodies
D. Type of Test:
Semi-quantitative fluoroenzyme immunoassay
E. Applicant:
Phadia US, Inc.
F. Proprietary and Established Names:
EliA™ dsDNA Immunoassay
EliA™ ANA Control
G. Regulatory Information:
1. Regulation section:
21 CFR§ 866.5100, Antinuclear Antibody Immunological Test System
21 CFR§ 862.1660, Quality Control Material (Assayed and Unassayed)
2. Classification:
Device-Class II
Quality control material-Class I
3. Product code:
LSW, Anti-DNA Antibody, Antigen and Control
JJY, Multi-Analyte Controls (Assayed and Unassayed)
4. Panel:
(82) Immunology
(75) Chemistry
H. Intended Use:
1. Intended use(s):
EliA™ dsDNA is intended for the in vitro quantitative measurement of IgG antibodies directed to dsDNA in human serum and plasma (heparin, EDTA, citrate) as an aid in the diagnosis of systemic lupus erythematosus (SLE) in conjunction with other laboratory and clinical findings. EliA™ dsDNA uses the EliA IgG method on the instrument ImmunoCAP 100 and ImmunoCAP 250.
EliA™ ANA Control is intended for laboratory use in monitoring the performance of in vitro measurement of antinuclear antibodies (ANA) with ImmunoCAP 100 or ImmunoCAP 250 using the EliA IgG method.
2. Indication(s) for use:
Same as above
3. Special conditions for use statement(s):
The device is for prescription use only.
4. Special instrument requirements:
ImmunoCAP 100 and ImmunoCAP 250 (k061165)
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2
I. Device Description:
The EliA reagents are available as modular packages, each purchased separately. The EliA dsDNA wells are coated with double stranded plasmid DNA. These are packed in carriers which are stored in sealed aluminum foil bags containing a desiccant. The EliA Method-Specific reagents consists of (1) sample diluent concentrate, (2) IgG Conjugate (blue colored) β-Galactosidase anti-IgG (mouse monoclonal antibodies) in PBS, (3) ready-to-use 6 level IgG calibrators (human IgG concentrations of 0,4, 10, 20, 100 and 600 μg/L), (4) ready-to-use IgG Curve Control (20 μg/L), (5) IgG Calibrator well coated with mouse monoclonal antibody, (6) ready for use development solution containing 0.1% 4-methylumbelliferyl-β-D galactoside and (7) 4% sodium carbonate stop solution.
Curve Controls have defined ranges to check whether the stored calibration curve is still valid. Limits for the response of the Curve Controls are defined in the ImmunoCAp 100/250 Operator and Panel Software.
The EliA ANA is a two- level control (negative and positive). This is a multiparameter control containing antibodies to dsDNA (k072393), RNP, Sm, Ro, La, Scl-70, CENP and Jo-1 (k072149 EliA Symphony ANA). The EliA ANA Control is prediluted and ready to use.
J. Substantial Equivalence Information:
1. Predicate device name(s): DPC Anti-DNA
2. Predicate 510(k) number(s): k874873
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | EliA™ dsDNA | DPC Anti-DNA |
| Indications for Use | As an aid in the clinical diagnosis of systemic erythematosus (SLE) | Same |
| Calibration | Calibrated against the 1^{st} International Standard for anti-double stranded DNA coded Wo/80. Results are given in International Units (IU/mL) | Same |
| Reaction temperature | 37°C | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Instrumentation | ImmunoCAP 100 and 250 (fully automated) | Gamma Counter |
| Assay type | ELISA | Radioassay |
| Internal Controls | Positive and Negative controls provided within the EliA ANA | Positive and Negative controls |
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3
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| | control kit, sold separately. | included in the kit |
| Calibration curve | Option to store curve for up to 28 days and run curve controls (provided in kit) in each assay for calibration | 6-point calibration curve to be run with every test |
| Signal | Fluorescence | Counts per minute |
| Detection antibody (antibody) | Anti-human IgG β-galactosidase (mouse monoclonal antibodies | Room temperature, 18-25°C |
| Concept | Modular reagents concept (test-method specific and general reagents) | None |
K. Standard/Guidance Document Referenced (if applicable):
None referenced.
L. Test Principle:
The EliA dsDNA wells are coated with double-stranded plasmid DNA. If present in the patient’s specimen, antibodies to gliadin will bind to their specific antigen in the wells. After washing away non-bound antibodies, enzyme- labeled antibodies against human IgG antibodies (EliA IgG conjugate) are added to form an antibody-conjugate complex. After incubation, non-bound conjugate is washed away and the bound complex is incubated with a development solution. After stopping the reaction, the fluorescence in the reaction mixture is measured. The higher the response value, the more specific IgG is present in the specimen. To evaluate test results, the response for patient samples is compared directly to the response for calibrators.
The EliA IgG calibration is a total IgG calibration. It is based on a set of six WHO-standardized IgG calibrators derived from human serum. The calibrators are required to perform an initial calibration curve, which can be stored in the ImmunoCAP instrument and may be used up to 28 days. Each assay outside of a calibration run includes curve controls that have to fall within defined ranges to verify that the stored calibration curve is still valid.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
For the ImmunoCAP 100, three samples were measured on three instruments in 36 runs with a calibration curve in each run. For the ImmunoCAP 250, three samples were measured on three instruments in 3 replicates in 21 runs with a calibration curve in each run.
ImmunoCAP 100
| Sample | Mean (U/mL) | Intra-run (CV %) | Inter-run (CV %) |
| --- | --- | --- | --- |
| 1 | 18.6 | 3.6 | 3.7 |
| 2 | 56.6 | 4.1 | 3.3 |
| 3 | 102 | 4.0 | 2.8 |
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4
ImmunoCAP 250
| Sample | Mean (U/mL) | Intra-run (CV %) | Inter-run (CV %) |
| --- | --- | --- | --- |
| 1 | 9.8 | 5.3 | 4.6 |
| 2 | 15.1 | 5.0 | 3.2 |
| 3 | 81.5 | 2.8 | 4.6 |
| 4 | 209.4 | 5.3 | 4.5 |
Additional studies were done on three ImmunoCAP 100 instruments for equivocal samples around 15 IU/mL and a high positive sample. The samples were tested in 3 replicates in 18 runs (total 54 replicates) over 6 days. The studies yielded the following:
| Sample | Mean value (IU/mL) | Coefficients of variation (%) | |
| --- | --- | --- | --- |
| | | Intra-Run | Inter-Run |
| 1 | 8.9 | 4.9 | 4.2 |
| 2 | 9.3 | 4.3 | 5.0 |
| 3 | 9.6 | 5.8 | 5.0 |
| 4 | 11.3 | 6.1 | 7.2 |
| 5 | 13.1 | 3.3 | 6.9 |
| 6 | 273.3 | 5.4 | 7.8 |
b. Linearity/assay reportable range:
Linearity was not claimed for this device.
High dose hook effect:
For EliA dsDNA, the possibility of antigen excess occurring when using the device was evaluated with serum sample above the calibrator 600 ug/mL. The device was able to discriminate the high positive sample diluted 1:10 (~6,000 ug/L) from the highest calibrator point showing no hook effect.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The IgG calibrators are traceable to the International Reference Preparation (IRP) 67/86 of Human Immunoglobulins A, G, and M from WHO. New batches of IgG calibrators are compared to a secondary standard (standardized with the IRP) or the IRP directly and adjusted accordingly to meet the correct concentration (6 levels). The instrument measures specific IgG concentrations in µg/L. To obtain a test specific result, µg/L of IgG must be converted to EliA U/mL using a conversion factor given by the lot-specific code of the EliA dsDNA well.
EliA ANA Control is prepared from selected pooled human sera containing IgG antibodies to dsDNA, RNP, Sm, Ro, La, Scl-70, CENP and Jo-1. The controls are prediluted and ready for use. The acceptance ranges for the current control lot are stated on the Control Certificate included in the respective EliA ANA Control kit. The mean values for every lot have been determined with 4 consecutive control assays, each in 6 replicates. Ranges are
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calculated as respective mean ± 3SD for the expected long term variation.
Open-vial stability is not tested as the EliA ANA control is packaged in single vials. Closed-vial stability studies were performed to investigate the accelerated stability claim of 24 months. According to internal specifications 4 weeks at +30°C correspond to one year storage at +4°C and 8 weeks at +30°C correspond to two years storage at +4°C. For approved stability, the quotas (stressed/reference) for positive signal should be within 0.80 to 1.20. Specifications were met.
d. Detection limit:
The lower limit of the measuring range was determined by measuring dilutions (1:2, 1:4, and 1:8) of Calibrator 4.0 (4.0 μg/L) in the Calibrator Wells. The results in Response Units (RU) were compared with the result of the sample diluent on EliA dsDNA Wells. The discrimination ability (D) of the assay should be >2.0. All samples were measured in triplicate.
| Sample ID | Results on Calibrator Wells | |
| --- | --- | --- |
| | Mean Response Units (RU) | SD |
| Calibrator 4.0 (1:2) | 258 | 4.8 |
| Calibrator 4.0 (1:4) | 163 | 4.8 |
| Calibrator 4.0 (1:8) | 119 | 3.3 |
| Sample ID | Results on dsDNA Wells | |
| --- | --- | --- |
| | Mean RU | SD |
| Sample Diluent | 1 | 0.4 |
The 1/8 diluted calibrator 4.0 (0.5 μg/L) still can be discriminated from background given by the signal of the diluent on dsDNA wells. The lower limit of detection was set at 0.5μg /L.
e. Analytical specificity:
Interfering substance
Two diluted positive serum samples were spiked with bilirubin C, bilirubin F, hemoglobin, chyle and rheumatoid factor. The same samples were also spiked with specific blanks. 990 μL diluted serum was spiked with 10 μL substance or blank. For rheumatoid factor, 900 μL serum were spiked with 100 μL interference substance. The samples were tested in 3 replicates. A calibration curve was run in each assay. The runs were repeated twice. The following sample concentrations of additives were reached.
| Additives | Concentration in raw sample | Final concentration in diluted sample (1:100) | Normal Values |
| --- | --- | --- | --- |
| Bilirubin F | 21.1 mg/dL | 2.11 | <1.0 |
| Bilirubin C | 20.6 mg/dL | 2.06 | <1.0 |
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The specification was set such that the ratio of the result of the sample spiked with the interfering substance and the sample spiked with a buffer blank should be between 0.8 and 1.2. The tables below show the results of the study.
## Equivocal Sample
| Additive | Blank/spiked sample | Run 1 | | | Run 2 | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Conc. U/mL | CV % | Ratio | Conc. (U/mL) | CV % | Ratio |
| Bilirubin F | Blank | 9.2 | 9.3 | 0.97 | 8.0 | 2.9 | 0.93 |
| | Sample | 8.9 | 4.2 | | 7.5 | 6.0 | |
| Bilirubin C | Blank | 8.2 | 7.5 | 0.98 | 7.7 | 6.7 | 0.96 |
| | Sample | 8.0 | 4.9 | | 7.4 | 5.5 | |
| Hemoglobin | Blank | 8.4 | 2.3 | 1.01 | 8.0 | 0.7 | 0.95 |
| | Sample | 8.5 | 7.3 | | 7.5 | 3.4 | |
| Chyle | Blank | 9.1 | 9.6 | 0.97 | 7.5 | 5.5 | 1.00 |
| | Sample | 8.9 | 5.6 | | 7.5 | 4.7 | |
| RF | Blank | 9.4 | 8.4 | 0.96 | 7.8 | 1.5 | 1.00 |
| | Sample | 9.0 | 2.1 | | 7.8 | 5.8 | |
## Positive sample
| Additive | Blank/spiked sample | Run 1 | | | Run 2 | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Conc. U/mL | CV % | Ratio | Conc. (U/mL) | CV % | Ratio |
| Bilirubin F | Blank | 83.8 | 2.3 | 0.96 | 84.8 | 4.2 | 0.97 |
| | Sample | 80.3 | 7.1 | | 82.4 | 4.4 | |
| Bilirubin C | Blank | 82.3 | 4.3 | 1.01 | 85.7 | 6.5 | 1.02 |
| | Sample | 83.6 | 1.5 | | 87.7 | 1.8 | |
| Hemoglobin | Blank | 88.2 | 0.5 | 0.97 | 90.4 | 0.7 | 0.98 |
| | Sample | 85.7 | 1.2 | | 88.4 | 3.3 | |
| Chyle | Blank | 85.0 | 1.3 | 0.99 | 86.6 | 5.5 | 0.89 |
| | Sample | 84.5 | 2.2 | | 77.1 | 1.3 | |
| RF | Blank | 92.7 | 3.4 | 0.96 | 87.8 | 1.7 | 0.95 |
| | Sample | 88.8 | 3.5 | | 83.6 | 6.4 | |
Two additional serum samples showing values around the cut-off were spiked
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with bilirubin C, bilirubin F, hemoglobin, chyle and rheumatoid factor. The same samples were also spiked with substance specific blanks. The samples were tested in three replicates and repeated twice. The same specification as above was set. Results are shown below:
| Equivocal Sample 1 | | Run 1 | | | Run 2 | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Additive | blank/spiked sample | Conc. [IU/mL] | CV % | Ratio | Conc. [IU/mL] | CV % | Ratio |
| Bilirubin F | blank | 15.5 | 9.1 | 0.91 | 14.7 | 7.1 | 0.95 |
| | sample | 14.1 | 8.2 | | 14.0 | 6.9 | |
| Bilirubin C | blank | 13.9 | 13.4 | 1.05 | 13.4 | 8.1 | 1.02 |
| | sample | 14.6 | 1.9 | | 13.7 | 6.6 | |
| Hemoglobin | blank | 15.4 | 6.6 | 0.92 | 15.5 | 7.0 | 0.87 |
| | sample | 14.1 | 3.6 | | 13.5 | 7.2 | |
| Chyle | blank | 14.1 | 8.7 | 1.01 | 12.5 | 9.8 | 1.04 |
| | sample | 14.3 | 7.5 | | 13.0 | 5.2 | |
| Rheumatoid factor | blank | 15.8 | 5.5 | 1.17 | 15.8 | 2.9 | 1.12 |
| | sample | 18.5 | 10.1 | | 17.7 | 1.7 | |
| Equivocal Sample 2 | | Run 1 | | | Run 2 | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Additive | blank/spiked sample | Conc. [IU/mL] | CV % | Ratio | Conc. [IU/mL] | CV % | Ratio |
| Bilirubin F | blank | 11.5 | 10.6 | 1.03 | 10.9 | 4.7 | 1.02 |
| | sample | 11.9 | 6.4 | | 11.1 | 3.4 | |
| Bilirubin C | blank | 11.1 | 7.2 | 0.95 | 10.9 | 6.8 | 0.96 |
| | sample | 10.6 | 2.3 | | 10.4 | 3.2 | |
| Hemoglobin | blank | 10.0 | 8.7 | 1.13 | 11.3 | 4.4 | 0.97 |
| | sample | 11.2 | 3.6 | | 11.0 | 2.3 | |
| Chyle | blank | 11.5 | 10.8 | 0.88 | 11.3 | 2.1 | 1.03 |
| | sample | 10.1 | 10.8 | | 11.6 | 4.5 | |
| Rheumatoid factor | blank | 10.0 | 1.6 | 1.04 | 10.4 | 5.9 | 0.92 |
| | sample | 10.4 | 4.3 | | 9.6 | 0.8 | |
The interfering substances listed did not appear to adversely affect the results of the new devices.
## Cross-reactivity
Panels of international reference sera from (Centers of Disease Control and Association of Medical Laboratory Immunologists) were selected to show analytical specificity of the device. The samples were analyzed in duplicate using one batch of EliA dsDNA wells and one batch of system reagents. A calibration curve was run in duplicate. The results are shown on the tables below:
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8
CDC ANA Human Reference Panel
| Sample | IFA Pattern | Target | Diagnosis | IU/mL |
| --- | --- | --- | --- | --- |
| CDC1 | Homogeneous/rim | dsDNA & weak Sm | Not available | 217.8 |
| CDC2 | Speckled | SS-B/La | Not available | 0.5 |
| CDC3 | Speckled | UI-RNP, SS-A/Ro, SS-B/La | Not available | 1.1 |
| CDC4 | n.a | UI-RNP | Not available | 1.2 |
| CDC5 | n.a | SM,histone | Not available | 15.1 |
| CDC6 | Nucleolar | n.a | Not available | 0.9 |
| CDC7 | n.a | SS-A/Ro | Not available | 5.1 |
| CDC8 | centromere | CENP | Not available | 2.3 |
| CDC9 | n.a | Scl-70 | Not available | 3.4 |
| CDC10 | n.a | Jo-1 | Not available | 1.1 |
CDC5 is reported to be high positive for Sm Abs. and also contains histone Abs (Tan et.al.1999) but was found positive for dsDNA by EliAdsDNA. Sm is well known as marker for SLE, hence it is very likely that CDC5 belongs to a SLE patient. DsDNA is also known to be SLE marker and is very often associated with a high Sm titer.
AMLI Reference Panel 2001
| Sample | Target | Diagnosis | IU/mL |
| --- | --- | --- | --- |
| AMLI A | CENP | CREST | 2.0 |
| AMLIB | Scl-70 | Scleroderma | 3.1 |
| AMLID | UI-RNP | MCTD | 1.4 |
| AMLIE | SS-A/Ro | Sjogren’s syndrome, SLE | 1.6 |
| AMLIF | Jo-1,SS-A/Ro | Polymyositis | 1.2 |
| AMLIG | SS-B/La,SS-A/Ro | Sjogren’s syndrome | 2.0 |
| AMLII | Sm, UI-RNP,dsDNA | SLE | 26.6 |
| AMLIJ | dsDNA, Ro | SLE | 8.5 |
| AMLIK | Negative | healthy | 0.0 |
| AMLIL | Negative | healthy | 0.1 |
AMLI J is derived from a SLE patient and described as exclusively dsDNA positive. The negative result with the device may be due to the stringent washing procedure of EliA combined with a low affinity of the dsDNA antibodies in the AMLI J serum.
No other cross reactivity to other autoantibodies was detected.
f. Assay cut-off:
See expected values.
2. Comparison studies:
a. Method comparison with predicate device:
Clinical samples:
One hundred six patient samples covering the measuring range were tested with the EliA dsDNA and the predicate devices, DPC RIA. These samples included 60 SLE and 46 non-SLE patients. Non-SLE samples included patients with rheumatoid arthritis (20), progressive systemic sclerosis (5),
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CREST- limited systemic sclerosis (1), Hepatitis C virus (1), mixed connective tissue disease- MCTD (3), healthy controls (16). Equivocal results (nine SLE patients) were excluded from calculation. Results showed the following:
| n = 97 | DPC RIA | | | |
| --- | --- | --- | --- | --- |
| | | positive | negative | Total |
| EliA dsDNA | positive | 48 | 0 | 48 |
| | negative | 5 | 44 | 49 |
| | Total | 53 | 44 | 97 |
Total agreement = 94.8% (92/97) (95%CI 88.4-98.3)
Positive % agreement = 90.6% (48/53) (95%CI 79.3-96.9)
Negative% agreement = 100.0% (44/44) (95%CI 92-100)
## b. Matrix comparison:
Forty six sets of samples from different donors were tested in double determinations. Sample demographics were not provided. Each set contained serum, EDTA, heparin and citrate plasma samples. For positive and equivocal serum samples quotas between serum and each type of plasma were calculated. Mean quota of plasma to serum concentration should be 0.8-1.2 for positive sera. Negative samples should not switch to positive in all serum and plasma samples. Linear regression comparing the quotas between serum and each type of plasma for the positive samples was performed and showed:
| | n | Slope | Intercept | Correlation Coefficient |
| --- | --- | --- | --- | --- |
| Serum vs. Plasma Citrate | 46 | 1.040 (95%CI: 1.00, 0.086) | -0.157 (95%CI: -0.250, 0.043) | 0.997 |
| Serum vs. Plasma Heparin | 46 | 1.067 (95%CI: 1.025, 1.161) | 0.264 (95%CI: 0.133, 0.393) | 0.997 |
| Serum vs. Plasma EDTA | 46 | 1.015 95%CI: 0.981-1.051 | 0.106 (95%CI: 0.007, 0.199) | 0.995 |
The specifications for this study are fulfilled for serum, heparin, EDTA and citrate plasma samples. This information is specified on the Specimen Collection section of the Package Insert.
## c. Instrument Platform comparison:
The purpose of this study was to demonstrate that the performance of EliA dsDNA is equivalent on the ImmunoCAP 100 and the ImmunoCAP 250. For this comparison study, a total of 59 samples distributed over the measuring range were assayed: 4 negative samples, 32 positive samples and 23 high positive samples. All samples were run on three ImmunoCAP 100 instruments and two ImmunoCAP 250 instruments in two runs and in single replicates. The specification for correlation is that the systems are considered equal if the true average difference is less than $\pm 5\%$ with no linear trends and
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no sample related differences (with the same lot) of reagents. The study yielded the following:
| | n | Slope | Intercept | Correlation Coefficient |
| --- | --- | --- | --- | --- |
| IC100 vs. IC 250 | 59 | 0.979 (95%CI: 0.929, 1.022) | 0.532 (95%CI: -1.875, 3.950) | 0.986 |
3. Clinical studies:
a. Clinical Sensitivity and Clinical Specificity: None provided.
b. Other clinical supportive data (when a. is not applicable): Not applicable.
4. Clinical cut-off: Not applicable
5. Expected values/Reference range:
The purpose of the normal sera studies was to evaluate expected values in the normal population and to confirm the defined cut-off. Samples from 400 apparently healthy Caucasian adult blood donors were measured. The individuals were equally distributed by sex and age. Results were tabulated on the table below:
| | IU/mL |
| --- | --- |
| Median | 1.4 |
| Mean | 2.4 |
| Mean +2SD | 10.7 |
| Mean +3SD | 14.9 |
| 95thPercentile | 6.3 |
| 99thPercentile | 17.3 |
The results appeared to be equally distributed and not dependent on age or gender. The $95^{\text{th}}$ percentile lies below the lower limit of the equivocal range of 10-15 IU/mL.
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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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.