Discarded clinical urine samples from clinical testing laboratories
The sponsor used discarded clinical urine samples to perform a method comparison study, evaluating the performance of the Immunalysis Opiates Urine Enzyme Immunoassay against LC/MS confirmation in a real-world clinical setting.
Method comparison; Clinical urine samples; Routine clinical practice
LC/MS (Liquid Chromatography Tandem Mass Spectrometry)
Qualitative and semi-quantitative assay performance (agreement)
Indications for Use
The Immunalysis Opiates Urine Enzyme Immunoassay is a homogeneous enzyme immunoassay with a dual cutoff of 300ng/mL and 2000ng/mL. The assay is intended for use in laboratories for the qualitative and semi-quantitative analysis of opiates in human urine with automated clinical chemistry analyzers. This assay is calibrated against Morphine. This in-vitro diagnostic 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 Opiates 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/Mass Spectrometry (LC/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. The Immunalysis Opiates Urine Calibrators 300 are intended for in vitro diagnostic use for the calibration of assays for the analytes currently listed in the package insert: Morphine. The Immunalysis Opiates Urine Calibrators 300 consists of 4 levels, with Level 1 containing 100ng/mL, Level 2 containing 300ng/mL, Level 3 containing 500ng/mL and Level 4 containing 1000ng/mL of morphine. The calibrators are designed for prescription use with homogenous enzyme immunoassays on automated clinical chemistry analyzers. The Immunalysis Multi-Drug Controls are intended for in vitro diagnostic use to monitor the performance of assays for the analytes currently listed in the package insert: Benzoylecgonine, Methadone, Methamphetamine, Morphine, PCP, Secobarbital and Oxazepam for Immunalysis Multi-Drug Controls 1 and Benzoylecgonine, Methamphetamine and Morphine for Immunalysis Multi-Drug Controls 2. The controls are designed for prescription use with homogenous enzyme immunoassays on automated clinical chemistry analyzers. The Immunalysis Opiates Urine Calibrators 2000 are intended for in vitro diagnostic use for the calibration of assays for the analytes currently listed in the package insert: Morphine. The Immunalysis Opiates Urine Calibrators 2000 consists of 4 levels, with Level 1 containing 1000ng/mL, Level 2 containing 2000ng/mL, Level 3 containing 4000ng/mL and Level 4 containing 6000ng/mL of morphine. The calibrators are designed for prescription use with homogenous enzyme immunoassays on automated clinical chemistry analyzers.
Device Story
The Immunalysis Opiates Urine Enzyme Immunoassay is a homogeneous enzyme immunoassay used in clinical laboratories to detect opiates in human urine. The device utilizes monoclonal antibodies to morphine, glucose-6-phosphate (G6P), and nicotinamide adenine dinucleotide (NAD) in a Tris buffer, along with an enzyme conjugate (morphine derivative labeled with G6PDH). When used on automated clinical chemistry analyzers, the assay provides qualitative or semi-quantitative results. The output is a preliminary analytical result; positive results require confirmation via GC-MS or LC/MS. The device includes specific calibrators (300 ng/mL and 2000 ng/mL levels) and multi-drug controls to monitor assay performance. Healthcare providers use these results to guide clinical decision-making, such as determining the need for confirmatory testing or assessing patient drug use, ultimately aiding in clinical toxicology and drug abuse monitoring.
Clinical Evidence
Bench testing only. Precision/reproducibility evaluated over 20 days (N=80) at ±0%, ±25%, ±50%, ±75%, and ±100% of cutoffs. Linearity/recovery confirmed via serial dilutions. Analytical specificity tested against structurally related and non-related compounds; interference noted for Boric Acid and Riboflavin. Method comparison study (N=80) against LC/MS showed high agreement (98-100% for positives, 100% for negatives) across both qualitative and semi-quantitative modes.
Technological Characteristics
Homogeneous enzyme immunoassay (EIA). Reagents: monoclonal antibodies to morphine, G6P, NAD, and morphine-labeled G6PDH enzyme conjugate in Tris buffer with sodium azide preservative. Form factor: liquid, ready-to-use reagents, calibrators, and controls. Connectivity: designed for use on automated clinical chemistry analyzers (e.g., Beckman Coulter AU 400e). Storage: 2–8°C.
Indications for Use
Indicated for the qualitative and semi-quantitative analysis of opiates in human urine for prescription use in laboratory settings using automated clinical chemistry analyzers. Provides preliminary analytical results requiring confirmation by GC-MS or LC/MS.
Regulatory Classification
Identification
An opiate test system is a device intended to measure any of the addictive narcotic pain-relieving opiate drugs in blood, serum, urine, gastric contents, and saliva. An opiate is any natural or synthetic drug that has morphine-like pharmocological actions. The opiates include drugs such as morphine, morphine glucoronide, heroin, codeine, nalorphine, and meperedine. Measurements obtained by this device are used in the diagnosis and treatment of opiate use or overdose and in monitoring the levels of opiate administration to ensure appropriate therapy.
Special Controls
*Classification.* Class II (special controls). An opiate 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.