Immunalysis EDDP Specific Urine Enzyme Immunoassay, Immunalysis EDDP Urine Calibrators, Immunalysis EDDP Urine Control Sets
Applicant
Immunalysis Corporation
Product Code
DJR · Clinical Toxicology
Decision Date
Jul 24, 2015
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3620
Device Class
Class 2
Attributes
Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K151395 · Jul 24, 2015
Immunalysis EDDP Specific Urine Enzyme Immunoassay, Immunalysis EDDP Urine Calibrators, Immunalysis EDDP Urine Control Sets
Immunalysis Corporation
Discarded clinical urine samples from clinical testing laboratories
Retrospective clinical urine samples were used to perform a method comparison study, evaluating the performance of the Immunalysis EDDP Specific Urine Enzyme Immunoassay against LC/MS confirmation to demonstrate substantial equivalence.
Method Comparison Study; Retrospective method comparison; Follow-up/Duration: Not applicable
Unaltered, anonymous and discarded clinical urine samples; Sample Size: Not explicitly stated as a total, but tables show 80 samples per cutoff (40 positive/40 negative)
LC/MS (Liquid Chromatography/Tandem Mass Spectrometry)
Qualitative and semi-quantitative assay performance (agreement)
Indications for Use
The Immunalysis EDDP Specific Urine Enzyme Immunoassay is a homogeneous enzyme immunoassay with cutoffs of 100ng/mL, 300ng/mL and 1000ng/mL. The assay is intended for use in laboratories for the qualitative and semiquantitative analysis of EDDP in human urine with automated clinical chemistry analyzers. The 100ng/mL and 300ng/mL cutoff is for qualitative and semi-quantitative analysis. The 1000ng/mL cutoff is for qualitative analysis only. This assay is calibrated against EDDP. This in-vitro device is for prescription use only. The semi-quantitative mode is for purposes of enabling laboratories to determine an appropriate dilution of the specimen for confirmation by a confirmatory method such as GC-MS or permitting laboratories to establish quality control procedures. The Immunalysis EDDP Specific Urine Enzyme Immunoassay Kit provides only a preliminary analytical test result. A more specific alternate chemical method must be used in order to obtain a confirmed analytical result. Gas Chromatography/ Mass Spectrometry (GC-MS) or Liquid Chromatography/Tandem Mass Spectrometry (LC-MS/MS) is the preferred confirmatory method. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly when preliminary positive results are used.
Device Story
Device is a homogeneous enzyme immunoassay for detecting EDDP in human urine; utilizes recombinant fab antibodies to EDDP, glucose-6-phosphate (G6P), and nicotinamide adenine dinucleotide (NAD) in antibody/substrate reagent; enzyme conjugate reagent contains EDDP derivative labeled with glucose-6-phosphate dehydrogenase (G6PDH). Used in clinical laboratories on automated chemistry analyzers; operators are laboratory technicians. Input is human urine sample; output is qualitative or semi-quantitative EDDP concentration. Results are preliminary; require confirmation by GC-MS or LC-MS/MS. Healthcare providers use results to guide clinical decisions regarding drug abuse testing; benefits include rapid preliminary screening to determine if further confirmatory testing is necessary.
Clinical Evidence
No clinical trials performed. Evidence consists of analytical bench testing. Method comparison study using 80 clinical urine samples compared candidate device results against LC-MS/MS. Qualitative agreement: 98-100% for positives, 100% for negatives across all cutoffs. Precision study (N=80/level) followed CLSI EP5-A2 guidelines. Interference testing (CLSI EP7-A2) evaluated structurally related compounds, non-structurally related drugs, endogenous substances, pH, and specific gravity.
Technological Characteristics
Homogeneous enzyme immunoassay. Reagents: recombinant fab antibodies to EDDP, G6P, NAD, and EDDP-labeled G6PDH in Tris buffer with sodium azide. Form factor: liquid, ready-to-use. Energy source: spectrophotometric measurement at 340nm via automated clinical chemistry analyzer. Storage: 2-8°C. Software: embedded in host analyzer for rate measurement and concentration calculation.
Indications for Use
Indicated for the qualitative and semi-quantitative analysis of EDDP in human urine using automated clinical chemistry analyzers. Intended for laboratory use by prescription only. Provides preliminary analytical results requiring confirmation by GC-MS or LC-MS/MS.
Regulatory Classification
Identification
A methadone test system is a device intended to measure methadone, an addictive narcotic pain-relieving drug, in serum and urine. Measurements obtained by this device are used in the diagnosis and treatment of methadone use or overdose and to determine compliance with regulations in methadone maintenance treatment.
Special Controls
*Classification.* Class II (special controls). A methadone test system is not exempt if it is intended for any use other than employment or insurance testing or is intended for Federal drug testing programs. The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9, provided the test system is intended for employment and insurance testing and includes a statement in the labeling that the device is intended solely for use in employment and insurance testing, and does not include devices intended for Federal drug testing programs (*e.g.,* programs run by the Substance Abuse and Mental Health Services Administration (SAMHSA), the Department of Transportation (DOT), and the U.S. military).
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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.