BIOCHECK CARDIAC-1 CRP RAPID TEST, MODEL BC-804114
K040030 · Biocheck, Inc. · DCN · Jun 16, 2004 · Immunology
Device Facts
Record ID
K040030
Device Name
BIOCHECK CARDIAC-1 CRP RAPID TEST, MODEL BC-804114
Applicant
Biocheck, Inc.
Product Code
DCN · Immunology
Decision Date
Jun 16, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.5270
Device Class
Class 2
Indications for Use
The BioCheck CRP Rapid Test is intended for the qualitative detection of C-reactive protein (CRP) in human serum. Measurements of CRP can be useful for the detection and evaluation of infection, tissue injury, inflammatory disorders and associated diseases.
Device Story
Colloidal gold/antibody conjugate-based lateral flow immunoassay; detects CRP in human serum. Serum sample applied to specimen well; CRP binds to gold-antibody conjugate; complex migrates across membrane; binds to immobilized anti-human CRP polyclonal antibody at test line. Pink band indicates CRP concentration ≥ 4.0 mg/L; control line confirms valid test. Used in clinical laboratory settings; performed by trained personnel. Provides qualitative visual result; assists clinicians in evaluating inflammatory states, infections, or tissue injury. Benefits patient by providing rapid assessment of CRP levels to guide clinical decision-making.
Clinical Evidence
No clinical studies performed. Evidence consists of analytical performance testing and method comparison. Precision/reproducibility demonstrated 100% agreement across sites and technicians. Method comparison against quantitative ELISA (n=420) showed high concordance: Group 1 (n=209) 97.1% total agreement; Group 2 (n=67) 100% total agreement; Group 3 (n=145) 96.6% total agreement. Analytical specificity confirmed no interference from common blood substances or 33 drugs at 1.8 and 3.6 mg/mL CRP concentrations.
Technological Characteristics
Solid-phase chromatographic immunoassay. Components: membrane coated with goat anti-human CRP IgG; gold-labeled goat anti-human CRP conjugate; anti-Ig control line. Form factor: sample card. Qualitative visual readout. Cutoff: 4.0 mg/mL. Traceable to CDC CRM-470 reference material. No electronic components or software.
Indications for Use
Indicated for the detection and evaluation of infection, tissue injury, inflammatory disorders, and associated diseases in patients requiring CRP measurement. Prescription use only.
Regulatory Classification
Identification
A C-reactive protein immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the C-reactive protein in serum and other body fluids. Measurement of C-reactive protein aids in evaluation of the amount of injury to body tissues.
Predicate Devices
Biocheck hsCRP ELISA (k003851)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
DEVICE ONLY TEMPLATE
A. 510(k) Number:
k040030
B. Purpose of Submission:
New device
C. Analyte:
C-reactive protein
D. Type of Test:
Solid phase immunodiffusion
E. Applicant:
BioCheck, Inc.
F. Proprietary and Established Names:
Biocheck CRP Rapid Test
G. Regulatory Information:
1. Regulation section:
21 CFR 866.5270, C-reactive protein immunological test system
2. Classification:
Class II
3. Product Code:
DCN, System, test, C-reactive protein
4. Panel:
82 Immunology
H. Intended Use:
1. Intended use(s):
The BioCheck CRP Rapid Test is intended for the qualitative detection of C-reactive protein (CRP) in human serum.
2. Indication(s) for use:
Measurements of CRP can be useful for the detection and evaluation of infection, tissue injury, inflammatory disorders and associated diseases.
3. Special condition for use statement(s):
Prescription use only.
4. Special instrument Requirements:
None.
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I. Device Description:
The BioCheck CRP Rapid Test consists of sample cards (solid phase) pre-loaded with gold-conjugated goat anti-CRP antibody and goat anti-human CRP polyclonal antibody immobilized in a strip across the card. A control strip consisting of anti-Ig is also present on the card to indicate a valid assay.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Biocheck hsCRP ELISA
2. Predicate K number(s):
k003851
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Intended Use | The BioCheck CRP Rapid Test is intended for the qualitative detection of C-reactive protein (CRP) in human serum. | The BioCheck hsCRP ELISA is intended for the quantitative determination of C-reactive protein (CRP) in human serum. |
| Specimen | Serum | Same |
| Differences | | |
| Item | Device | Predicate |
| Assay Principle | Solid phase chromatographic immunoassay | ELISA |
| Assay Type | Qualitative | Quantitative |
| Solid Phase | Antibody coated membrane | Antibody coated microtiter well |
| Antibody for solid phase coating | Goat anti-human CRP (Total IgG fractions) | Mouse monoclonal antibody to human CRP |
| Conjugate | Goat anti-human CRP gold conjugate | Goat anti-CRP HRP conjugate |
| Assay evaluation | < 4.0 mg/mL, ≥ 4.0 mg/mL, qualitative, visual | CRP concentration, quantitative, A_{450} |
| Standards | None | Six liquid reference standards |
| Stability | 2-30° C, 18 months | 2-8° C, 1 year |
K. Standard/Guidance Document Referenced (if applicable):
None provided
L. Test Principle:
The BioCheck CRP Rapid Test is a solid phase chromatographic immunoassay. The device contains a membrane coated with goat anti-human CRP IgG. Near the sample loading site is gold-labeled goat anti-human CRP. After sample application, the CRP
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in the sample is bound by both antibodies and migrates across the membrane by capillary action. The gold-labeled fraction of the CRP-antibody conjugate forms a pink color where it is captured by a line of goat polyclonal anti-CRP immobilized on the membrane. Upon further migration of the sample, the conjugate encounters an immobilized strip of anti-Ig, and the CRP-gold antibody conjugate forms a pink control line verifying a valid test.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
**a. Precision/Reproducibility:**
Five samples each of CRP at 1.0, 2.0, 3.0, 4.0, and 8.0 mg/mL were tested at three sites plus by two in-house technicians, one set of samples per day for five consecutive days. The test demonstrated 100% agreement with the expected results, and 100% reproducibility within and between days and sites.
**b. Linearity/assay reportable range:**
Recovery was examined using serum from a pool of healthy donors, spiked to achieve final CRP concentrations of 1.0, 3.0, 4.0, 6.0, and 8.0 mg/mL. The samples were tested in six replicates and demonstrated 100% agreement with expected results.
**c. Traceability (controls, calibrators, or method):**
The standards for value assignment are traceable to CDC’s CRP reference material CRM-470. CRP is purchased from a vendor. The vendor determines the concentration by a commercial nephelometry method whose standards were calibrated with CDC’s CRP reference material CRM 470.
**d. Detection limit:**
The assay was designed to detect CRP at ≥ 4 mg/mL. The limit of detection was verified in testing at multiple concentrations of CRP above, at, and below the cut-off. The cut-off was verified at 4 mg/mL.
**e. Analytical specificity:**
Interference was tested against potentially interfering substances found in blood: bilirubin (10 mg/dL), hemoglobin (200 mg/dL), cholesterol (800 mg/dL), triglyceride (1250 mg/dL), and biotin (200 ng/mL). Samples with CRP concentrations of 1.8 and 3.6 mg/mL were spiked with interferent and were tested in singlicate. No interference was detected based on the demonstration that all tested samples remained negative. Testing of the same samples by an alternative ELISA test demonstrated that the CRP concentration was unchanged by the addition of the above-listed interfering substances.
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Additional specificity was demonstrated against 33 drugs and substances that might be found in blood in persons undergoing testing. These were ascorbic acid, atenolol, atropine, caffeine, captopril, chloramphenicol, cinnarizine, cyclophosphamide, cyclosporine, digitonin, digoxin, dopamine, erythromycin, gentistic acid, isoproterenol, isosorbide dinitrate, nifedipine, nystatin, oxazepam, oxytricycline, propranolol, theophylline, L-thyroxine, urea, uric acid, verapamil. CRP concentrations of 1.8 and 3.6 mg/mL were spiked with 10 mg/mL of each of these and tested in singlicate. No interference was detected based on the demonstration that all samples remained negative. Testing of the same samples by an alternative ELISA test demonstrated that the CRP concentration was unchanged by the addition of the above-listed interfering substances
f. Assay cut-off:
The assay was designed to have a single cut-off near the upper limit of normal, based on the average 90th percentile of normal CRP in healthy adults, which has been reported as 4.93 mg/mL in the literature. The cut-off value was verified by testing in triplicate samples with CRP values of 3.0, 3.2, 3.4, 3.6, 3.8, 4.0, 4.2, 4.4, 4.6, and 4.8 mg/mL. Samples at 4.0 mg/mL and above were always positive, samples at 3.8 mg/mL were weakly positive 2 of 3 times, and all samples at lower than 3.8 mg/mL were always negative.
2. Comparison studies:
a. Method comparison with predicate device:
A total of 420 samples from three different groups of patients (random, known elevated CRP, cardiac patients with diagnosis) were tested using the device and the results were compared to those generated using the quantitative predicate device. If the predicate reported a value ≥ 4.0 mg/mL, and the new device was positive, or the predicate reported a value < 4.0 mg/mL and the new device was negative, these were considered to be positive and negative agreement, respectively.
Group 1: Of 209 random patient samples, the following results were obtained:
| BioCheck CRP Rapid Test | BioCheck CRP ELISA Test | |
| --- | --- | --- |
| | ≥ 4.0 mg/mL | < 4.0 mg/mL |
| + | 69 | 4 |
| - | 2 | 134 |
| Total | 71 | 138 |
Positive agreement: 69/73 = 94.5%
Negative agreement: 134/136 = 98.5%
Total agreement: 203/209 = 97.1%
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Group 2: Of 67 serum samples from cardiac patients, the following results were obtained:
| BioCheck CRP Rapid Test | BioCheck CRP ELISA Test | |
| --- | --- | --- |
| | ≥ 4.0 mg/mL | < 4.0 mg/mL |
| + | 66 | 0 |
| - | 0 | 1 |
| Total | 66 | 1 |
Positive, negative and total agreements were 100%.
Group 3: Of 145 serum samples from cardiac patients with known diagnoses, the following results were obtained
| BioCheck CRP Rapid Test | BioCheck CRP ELISA Test | |
| --- | --- | --- |
| | ≥ 4.0 mg/mL | < 4.0 mg/mL |
| + | 69 | 4 |
| - | 1 | 71 |
| Total | 70 | 75 |
Positive agreement: 69/70 = 98.6%
Negative agreement: 71/75 = 94.7%
Total agreement: 140/145 = 96.6%
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a and b are not applicable):
Not applicable
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Expected value for normal healthy individuals is <4 mg /mL, determined by 90th percentile of CRP concentration in apparently healthy people. In a study of 432 healthy Caucasians, the following values were obtained:
n: 432
Mean: 1.6 U/mL
Mean +2SD 8.8 U/mL
Median: 0.9 U/mL
95th percentile 4.5 u/mL
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N. Conclusion:
The submitted information in this premarket notification is complete, and supports a substantial equivalence decision.
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.