The EUROIMMUN Anti-PR3-hn-hr ELISA (IgG) test kit is intended for the qualitative or semiquantitative determination of IgG class autoantibodies against proteinase 3 (PR3) in human serum, EDTA plasma, lithium heparin plasma and citrate plasma. It is used as an aid in the differential diagnosis of Wegener's granulomatosis and other autoimmune vasculitides, in conjunction with other laboratory and clinical findings.
Device Story
The EUROIMMUN Anti-PR3-hn-hr ELISA (IgG) is an in vitro diagnostic test kit used in clinical laboratories. It detects IgG autoantibodies against proteinase 3 (PR3) in human serum or plasma samples. The device utilizes an enzyme-linked immunosorbent assay (ELISA) principle. Samples are incubated in microplate wells coated with PR3 antigen; if specific antibodies are present, they bind to the antigen. After washing, enzyme-labeled anti-human IgG is added, followed by a substrate to produce a colorimetric signal proportional to the antibody concentration. Results are interpreted by laboratory professionals to assist in the differential diagnosis of Wegener's granulomatosis and other autoimmune vasculitides. The output provides clinicians with diagnostic information to be used in conjunction with other clinical and laboratory findings.
Clinical Evidence
Clinical performance was evaluated using 1,177 samples, including patients with Wegener’s granulomatosis (WG), ANCA-associated vasculitides (AAV), other autoimmune diseases (SLE, SS, RA), and asymptomatic blood donors. The device demonstrated a clinical sensitivity of 93.8% (152/162) and a clinical specificity of 99.4% (1009/1015). Method comparison against the predicate device across 1,255 samples showed a positive percent agreement of 99.4% and a negative percent agreement of 96.7%.
Technological Characteristics
ELISA-based immunoassay. Microplate wells coated with PR3 antigen. Detection via enzyme-labeled anti-human IgG conjugate and colorimetric substrate. Quantitative/semi-quantitative output via spectrophotometric measurement. In vitro diagnostic use.
Indications for Use
Indicated for qualitative or semiquantitative detection of IgG autoantibodies against proteinase 3 (PR3) in human serum or plasma (EDTA, lithium heparin, citrate) to aid in the differential diagnosis of Wegener's granulomatosis and other autoimmune vasculitides.
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).
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
k082130
B. Purpose for Submission:
Modified device
C. Measurand:
Anti-protease 3 Antibodies (PR3) IgG
D. Type of Test:
Qualitative and semi-quantitative
E. Applicant:
EUROIMMUN US INC
F. Proprietary and Established Names:
EUROIMMUN Anti-PR3-hn-hr ELISA (IgG) Kit
G. Regulatory Information:
1. Regulation section:
21 CFR § 866.5660, Multiple autoantibodies, immunological test systems
2. Classification:
Class II
3. Product codes:
MOB, Test System, antineutrophil antibodies (ANCA)
4. Panel:
Immunology (82)
H. Intended Use:
1. Intended use(s):
The EUROIMMUN Anti-PR3-hn-hr ELISA (IgG) test kit is intended for the qualitative or semi-quantitative determination of IgG class autoantibodies against proteinase 3 (PR3) in human serum, EDTA plasma, lithium heparin plasma, and citrate plasma. It is used as an aid in the differential diagnosis of Wegener’s granulomatosis and other autoimmune vasculitides, in conjunction with other laboratory and clinical findings.
2. Indication(s) for use:
Same as Intended use.
3. Special conditions for use statement(s):
For prescription only.
4. Special instrument requirements:
Microplate reader capable of measuring OD at 450 and a reference wavelength of 620-650 nm. Microplate washer is optional.
I. Device Description:
Each device contains the following: microwell strips (12X8) coated with a mixture of recombinant and native proteinase 3, Calibrators 1-3 (2, 20, 200 RU /mL), rabbit anti-human IgG horse-radish peroxidase conjugate, TMB/H₂O₂ substrate, positive control, negative control, sample buffer, wash buffer (10x concentrate) and 0.5M sulfuric acid stop solution. All reagents are ready for use except for the wash buffer.
J. Substantial Equivalence Information:
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1. Predicate device name(s):
EUROIMMUN Anti-Proteinase 3 (PR3) ELISA IgG
EUROIMMUN Anti-Myeloperoxidase (MPO) ELISA IgG
2. Predicate K number(s):
k060700
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | New Device | Predicate Device |
| Intended use | Detection of IgG antibodies to PR3 as an aid in the diagnosis of Wegener's granulomatosis and other autoimmune vasculitis, in conjunction with other laboratory and clinical findings | Same |
| Assay Format | Qualitative and semi-quantitative | Same |
| Technology | ELISA | Same |
| Platform | 96 well plates | Same |
| Calibrators | Three levels: 2, 20, 200 RU/mL | Same |
| Controls | Positive, Negative | Same |
| Enzyme-Conjugate | rabbit anti-human IgG HRP conjugate | Same |
| Substrate | TMB/H2O2 | Same |
| Wash buffer | 10X Concentrate | Same |
| Stop solution | 0.5M sulfuric acid | Same |
| Sample type | Serum and plasma | Same |
| Sample dilution | 1:101 | Same |
| Result reading | O.D. at 450 nm | |
| Calculation | Point to point Linear/linear | Same |
| Cut-off value | 20 RU/mL | Same |
| Result Interpretation | Semi-quantitative: Negative: <20 RU/mL Positive: ≥20 RU/mL Qualitative OD (patient/OD Cal 2) Negative: <1.0 Positive: ≥1.0 | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Antigen | Mixture of recombinant and highly purified proteinase 3 isolated from human neutrophils | Highly purified proteinase 3 isolated from human neutrophils |
| Linear range | 4 – 197 RU/mL | 12 – 158 RU/mL |
| Detection limit | 0.6 RU/mL | 1 RU/mL |
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K. Standard/Guidance Document Referenced (if applicable):
None provided.
L. Test Principle:
The test kit contains 12 microtiter strips each with 8 break-off reagent wells coated with a mixture of recombinant human and native human PR3. In the first reaction step, diluted patient samples, calibrators and controls are incubated in the wells. PR3 antigen specific auto-antibodies will bind to the antigens coated in the microtiter wells. The wells are washed to remove any unbound proteins and non-specific antibodies. In a second reaction step, goat anti-human IgG HRP enzyme conjugate is added to each well. The enzyme conjugate will bind to any wells that have Human IgG binding to the PR3 antigen. The wells are washed to remove any unbound HRP enzyme conjugate. 3,3,5,5 tetramethylbenzidine (TMB) enzyme substrate is added. If the HRP enzyme is present in the well (positive reaction), the HRP enzyme will react with the TMB substrate and produce a blue color. After an additional incubation time to allow the color development, a stop solution is added which turns the blue color yellow and inhibits further color development to allow for a stable spectrophotometric reading. The test strips are placed in a microplate reader and the optical density of the color is measured. The amount of antigen specific bound antibody is proportional to the color intensity.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
For the intra-assay study, seven samples for PR3, (weak, moderate and high titers) were analyzed 20 times in one run. For the inter-assay study, the same samples were analyzed 4 times in 6 different runs. The intra-assay CV ranges from, 1.8% to 5.2%. The inter-assay CV ranges from 3.9% to 11.2% (see table below).
| Antigen | Sample | Intra-assay | | Inter-assay | |
| --- | --- | --- | --- | --- | --- |
| | | Mean value | CV (%) | Mean value | CV (%) |
| PR3 | 1 | 11 | 5.2 | 12 | 6.2 |
| | 2 | 19 | 2.6 | 19 | 5.4 |
| | 3 | 21 | 2.8 | 20 | 5.9 |
| | 4 | 55 | 4.1 | 47 | 11.2 |
| | 5 | 89 | 2.6 | 85 | 4.3 |
| | 6 | 108 | 1.8 | 106 | 4.2 |
| | 7 | 152 | 2.8 | 159 | 3.9 |
Lot to lot reproducibility:
The inter-lot reproducibility was determined by testing 3 QC samples with different autoantibody concentrations for two runs on three lots. Specification was set at <12%. The lowest variability was 3.6% and highest variability was 7.7%. All three lots were within the 12% variability.
b. Linearity/assay reportable range:
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Six samples with different autoantibody concentrations were serially diluted to cover the assay range (4 - 197 RU/mL). For each sample, there were four dilutions and the dilution factor for each was dependent on the autoantibody concentration. Results showed the assay was linear for the specified assay range.
| Sample | Concentration range of dilutions (RU/ml) | Regression equation | Coeff. of determination (R2) |
| --- | --- | --- | --- |
| 1 | 4 – 57 | y = 97789x – 5.06 | 0.9956 |
| 2 | 28 – 147 | y = 106630x + 16.52 | 0.9909 |
| 3 | 47 – 197 | y = 16591x + 37.48 | 0.9712 |
| 4 | 36 – 164 | y = 113252x + 26.39 | 0.9825 |
| 5 | 35 – 171 | y = 60633x + 24.70 | 0.9772 |
| 6 | 45 – 172 | y = 224835x + 36.13 | 0.9776 |
c. Traceability, Stability, Expected values (controls, calibrators, or methods): There are no reference standards for anti-PR3. The calibrators and controls (positive and negative) were prepared in-house and assigned arbitrary units (RU/mL) during the development process.
d. Detection limit: The detection limit is determined by assaying the sample buffer 20 times in one run. The mean and standard deviation (SD) were calculated. The detection limit is defined as 3SD above the mean value of the sample buffer and is approximately $0.6\mathrm{RU / mL}$ .
e. Analytical specificity: Interference by endogenous substances: Aliquots of three samples were spiked with three different concentrations of endogenous substances namely hemoglobin, bilirubin and triglyceride were tested on anti-PR3-hn-hr Elisa (IgG) device. The acceptance criterion for the mean $\%$ recovery ranged from $85\% -115\%$ . The device did not appear to be affected by hemoglobin (up to $1000\mathrm{mg / dL}$ ), bilirubin (up to $40\mathrm{mg / dL}$ ) and triglyceride (up to $2000\mathrm{mg / dL}$ )
Cross-reactivity: Sixty seven samples with other autoimmune diseases (20 SLE, 10 Ulcerative Colitis, 10 Crohn's disease, 15 Primary Biliary Cirrhosis and 12 samples with lactoferrin, elastase, and MPO) were tested. No cross-reactivity was observed for the samples tested.
f. Assay cut-off: The cut-off value of $20\mathrm{RU / mL}$ was based on testing 429 normal samples and 725 patient sera [47 Wegener's granulomatosis (WG), 93 ANCA associated vasculitides (AAV), 585 other autoimmune diseases (100 SLE, 200 SS, 230 RA, 55 non-AAV)]. All normal sera were negative with $20\mathrm{RU / mL}$ cut-off except one with $37.6\mathrm{RU / mL}$ result.
2. Comparison studies:
a. Method comparison with predicate device: Testing was performed on 1255 samples which included 429 samples from asymptomatic blood donors and 826 patient sera [47 Wegener's'
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granulomatosis (WG); 140 ANCA associated vasculitides (AAV including relapses); 585 other autoimmune diseases (100 SLE, 200 SS, 230 RA, 55 non-AAV); and 78 prospective ANCA positive samples by IFA] on the new device and the predicate device. Results are summarized in table below.
| N = 1255 | EUROIMMUN Anti-PR3 (IgG) | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| EUROIMMUN Anti-PR3-hn-hr (IgG) | Positive | 162 | 36* | 198 |
| | Negative | 1 | 1056 | 1057 |
| | Total | 163 | 1092 | 1255 |
*Of the 36 samples found to be anti-PR3-hn-hr (IgG) positive, yet negative with predicate device, 13 were from WG, 14 from AAV, 7 from suspected vasculitis, 1 from SS and 1 from healthy blood donor.
Positive percent agreement: $99.4\%$ (162/163)
Negative percent agreement: $96.7\%$ (1056/1092)
Overall percent Agreement: $97.1\%$ (1218/1255)
# b. Matrix comparison:
EDTA, lithium heparin and citrate plasmas are claimed as additional sample types to serum. Comparison studies were performed by testing 14 matched serum/ plasma pairs for each anticoagulant. The concentration of the samples ranged from 6-193 RU/mL. The samples were also serially diluted and linear regression analyses were performed. The results of the regression analysis were as follows:
| | EDTA-Plasma | Heparin-Plasma | Citrate-Plasma |
| --- | --- | --- | --- |
| Regression equation | y = 0.078 + 1.044 x | y = 0.207 + 1.005 x | y = -1.362 + 0.997 x |
| 95% C.I. of intercept | -5.146 to 1.707 | -2.809 to 3.955 | -4.634 to 2.107 |
| 95% C.I. of slope | 0.995 to 1.137 | 0.956 to 1.053 | 0.964 to 1.044 |
$\mathrm{y} =$ concentration in serum (RU/mL), $\mathrm{x} =$ concentration in plasma (RU/mL)
# 3. Clinical studies:
# a. Clinical Sensitivity and specificity:
The clinical sensitivity and specificity study were evaluated on 1177 clinically defined samples from patients with the following diagnosis: 47 WG, 58 Biopsy-proven AAV, 35 AAV outpatients, 23 AAV relapses, 55 non-ANCA associated vasculitis, 230 RA, 100, SLE, 200 SS and 429 asymptomatic blood donors. The EUROIMMUN anti-PR3-hn-hr Elisa (IgG) device assay sensitivity and specificity were $93.8\%$ (152/162) and $99.4\%$ (1009/1015) respectively (refer to table below).
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| | Diagnosis | | | |
| --- | --- | --- | --- | --- |
| | | Positives | Negative | Totals |
| EUROIMMUN Anti-PR3-hn-hr ELISA (IgG) | Positive | 152 | 6 | 158 |
| | Negative | 10 | 1009 | 1019 |
| | Total | 162 | 1015 | 1177 |
c. Other clinical supportive data (when a. and b. are not applicable): Not applicable.
4. Clinical cut-off: Same as assay cut-off.
5. Expected values/Reference range: Expected values in the normal population should be negative. Using the EUROIMMUNAnti-PR3-hn-hr ELISA (IgG), the incidence of anti-PR3 in a German cohort of Wegener's granulomatosis was 91.5%.
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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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.
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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.
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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
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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.
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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.
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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.
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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.