De-identified archived clinical specimens were used to evaluate the accuracy of the modified Salmonella detection thresholds in the TDAS software by comparing results between the current and revised software versions.
Salmonella call agreement between revised and current software versions
Indications for Use
The xTAG® Gastrointestinal Pathogen Panel (GPP) is a multiplexed nucleic acid test intended for the simultaneous qualitative detection and identification of multiple viral, bacterial and parasitic nucleic acids in human stool specimens or human stool in Cary-Blair media from individuals with signs and symptoms of infectious colitis or gastroenteritis. The following pathogen types, subtypes and toxin genes are identified using the xTAG GPP: Viruses · Adenovirus 40/41 · Norovirus GI/GII · Rotavirus A Bacteria · Campylobacter (C. jejuni, C. coli and C. lari only) · Clostridium difficile (C. difficile) toxin A/B · Escherichia coli (E. coli) O157 · Enterotoxigenic E. coli (ETEC) LT/ST · Salmonella · Shiga-like Toxin producing E. coli (STEC) stx 1/stx 2 · Shigella (S. boydii, S. sonnei, S. flexneri and S. dysenteriae) · Vibrio cholerae (V. cholerae) cholera toxin gene (ctx) Parasites · Cryptosporidium (C. parvum and C. hominis only) · Entamoeba histolytica (E. histolytica) · Giardia (G. lamblia only, also known as G. intestinalis and G. duodenalis) The detection and identification of specific gastrointestinal microbial nucleic acid from individuals exhibiting signs and symptoms of gastrointestinal infection aids in the diagnosis of gastrointestion when used in conjunction with clinical evaluation, laboratory findings and epidemiological information. A gastrointestinal microorganism multiplex nucleic acid-based assay also aids in the detection of acute gastroenteritis in the context of outbreaks. xTAG GPP positive results are presumptive and must be confirmed by FDA-cleared tests or other acceptable reference methods. The results of this test should not be used as the sole basis for diagnosis, treatment, or other patient management decisions. Confirmed positive results do not rule out co-infection with other organisms that are not detected by this test, and may not be the sole or definitive cause of patient illness. Negative xTAG GPP results in the setting of clinical illness compatible with gastroenteritis may be due to infection by pathogens that are not detected by this test or non-infectious causes such as ulcerative colitis, irritable bowel syndrome, or Crohn's disease. xTAG GPP is not intended to monitor or guide treatment for C. difficile infections. The xTAG GPP test is indicated for use with the Luminex® 100/200™ and MAGPIX® instruments with xPONENT® software.
Device Story
Multiplexed nucleic acid test; detects viral, bacterial, and parasitic pathogens in human stool. Input: stool specimens/Cary-Blair media. Operation: simultaneous qualitative detection of multiple targets via nucleic acid amplification and identification. Output: identification of specific gastrointestinal microbial nucleic acids. Used in clinical laboratory settings; operated by trained laboratory personnel. Results aid diagnosis of gastrointestinal infection when combined with clinical/epidemiological data. Positive results are presumptive; require confirmation by reference methods. Not for sole diagnostic basis or monitoring C. difficile treatment. Benefits: rapid identification of multiple potential pathogens in patients with gastroenteritis symptoms.
Clinical Evidence
No clinical data provided in the document; the submission focuses on the regulatory clearance of the xTAG GPP assay and associated software.
Technological Characteristics
Multiplexed nucleic acid-based assay; utilizes Luminex 100/200 or MAGPIX instruments; software-based analysis via xPONENT software; qualitative detection of viral, bacterial, and parasitic targets.
Indications for Use
Indicated for individuals with signs and symptoms of infectious colitis or gastroenteritis to detect and identify viral, bacterial, and parasitic nucleic acids in human stool specimens or stool in Cary Blair media. Not intended to monitor or guide treatment for C. difficile infections.
Regulatory Classification
Identification
A gastrointestinal microorganism multiplex nucleic acid-based assay is a qualitative in vitro diagnostic device intended to simultaneously detect and identify multiple gastrointestinal microbial nucleic acids extracted from human stool specimens. The device detects specific nucleic acid sequences for organism identification as well as for determining the presence of toxin genes. The detection and identification of a specific gastrointestinal microbial nucleic acid from individuals exhibiting signs and symptoms of gastrointestinal infection aids in the diagnosis of gastrointestinal infection when used in conjunction with clinical evaluation and other laboratory findings. A gastrointestinal microorganism multiplex nucleic acid-based assay also aids in the detection and identification of acute gastroenteritis in the context of outbreaks.
Special Controls
*Classification.* Class II (special controls). The special controls are set forth in FDA's guideline document entitled: “Class II Special Controls Guideline: Gastrointestinal Microorganism Multiplex Nucleic Acid-Based Assays for Detection and Identification of Microorganisms and Toxin Genes from Human Stool Specimens.” For availability of the guideline document, see § 866.1(e).
Submission Summary (Full Text)
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# SPECIAL 510(K): DEVICE MODIFICATION OIR DECISION SUMMARY
510(k) Number: K183023
This 510(k) submission contains information/data on modifications made to the applicant’s own class II or class I devices requiring 510(k). The following items are present and acceptable:
1. The name and 510(k) number of the applicant’s previously cleared device. (For a preamendments device, a statement to this effect has been provided.)
2. Applicant’s statement that the INDICATION/INTENDED USE of the modified device as described in its labeling HAS NOT CHANGED along with the proposed labeling which includes instructions for use, package labeling, and, if available, advertisements or promotional materials (labeling changes are permitted as long as they do not affect the intended use).
3. Description of the device MODIFICATION(S):
This change was for a modification of the thresholds for Probe-1 of the Salmonella analyte in the xTAG GPP device, cleared under K140647. The purpose of the threshold change is to address customers concerns regarding an increase in the MFI (median fluorescent intensity) of Salmonella Probe-1 in their xTAG GPP runs. The threshold change increases the stringency for Salmonella positive calls as a means to reduce potential false positives and as a preventative measure to mitigate against variability at customers’ sites. The xTAG GPP package insert has been revised with branding updates, formatting changes, revision of the End-User License Agreement (EULA) for the Luminex Software section, and a notation that accounts for the threshold change.
The unmodified and modified devices are identical in assay formulation and there has been no change in the test procedure. The only changes are to the software as described above.
4. The FUNDAMENTAL SCIENTIFIC TECHNOLOGY of the modified device has not changed.
5. Comparison Information (similarities and differences) to applicant’s legally marketed predicate device including labeling, intended use, physical characteristics, and assay information:
Similarities
| | Modified Device | Predicate Device |
| --- | --- | --- |
| Features | xTAG Gastrointestinal Pathogen Panel (GPP) (K183023) | xTAG Gastrointestinal Pathogen Panel (GPP) (K140647) |
| Intended Use | Same as predicate device | The xTAG Gastrointestinal Pathogen Panel |
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| | (GPP) is a multiplexed nucleic acid test intended for the simultaneous qualitative detection and identification of multiple viral, bacterial, and parasitic nucleic acids in human stool specimens or human stool in Cary Blair media from individuals with signs and symptoms of infectious colitis or gastroenteritis. The following pathogen types, subtypes and toxin genes are identified using the xTAG GPP:
**Viruses**
• Adenovirus 40/41
• Norovirus GI/GII
• Rotavirus A
**Bacteria**
• Campylobacter (C. jejuni, C. coli and C. lari only)
• Clostridium difficile (C. difficile) toxin A/B
• Escherichia coli (E. coli) O157
• Enterotoxigenic Escherichia coli (ETEC) LT/ST
• Salmonella
• Shiga-like Toxin producing E. coli (STEC) stx 1/stx 2
• Shigella (S. boydii, S. sonnei, S. flexneri and S. dysenteriae)
• Vibrio cholerae (V. cholerae)
**Parasites**
• Cryptosporidium (C. parvum and C. hominis only)
• Entamoeba histolytica (E. histolytica)
• Giardia (G. lamblia only - also known as G. intestinalis and G. duodenalis)
The detection and identification of specific gastrointestinal microbial nucleic acid from individuals exhibiting signs and symptoms of gastrointestinal infection aids in the diagnosis of gastrointestinal infection when used in conjunction with clinical evaluation, laboratory findings and |
| --- | --- |
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| | | epidemiological information. A gastrointestinal microorganism multiplex nucleic acid-based assay also aids in the detection and identification of acute gastroenteritis in the context of outbreaks.
xTAG GPP positive results are presumptive and must be confirmed by FDA-cleared tests or other acceptable reference methods.
The results of this test should not be used as the sole basis for diagnosis, treatment, or other patient management decisions.
Confirmed positive results do not rule out co-infection with other organisms that are not detected by this test, and may not be the sole or definitive cause of patient illness. Negative xTAG Gastrointestinal Pathogen Panel results in the setting of clinical illness compatible with gastroenteritis may be due to infection by pathogens that are not detected by this test or non-infectious causes such as ulcerative colitis, irritable bowel syndrome, or Crohn’s disease.
xTAG GPP is not intended to monitor or guide treatment for C. difficile infections.
The xTAG GPP is indicated for use with the Luminex 100/200 and MAGPIX instruments with xPONENT software. |
| --- | --- | --- |
| Sample Type | Same as predicate device | Human stool specimens and human stool in Cary-Blair media |
| Extraction Method | Same as predicate device | Biomérieux NucliSENS EasyMag |
| Test Principle and Amplification | Same as predicate device | Multiplex end point RT-PCR |
| Kit Reagents | Same as predicate device | xTAG® GPP Primer Mix, xTAG® OneStep Enzyme Mix, xTAG® OneStep Buffer, xTAG® RNase-Free Water, xTAG® BSA, xTAG® MS2, xTAG® GPP Bead Mix, xTAG® Reporter Buffer, xTAG® 0.22 SAPE |
| Test Format | Same as predicate device | Multiplex MAGPLEX bead-based universal array |
| Detection Method | Same as predicate device | Fluorescence based |
| Quality Control | Same as predicate device | Internal Control (MS2), rotating analyte |
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| | | controls and negative control (RNAse-free water) |
| --- | --- | --- |
| Assay Result | Same as predicate device | Qualitative |
| Instrument | Same as predicate device | Luminex MAGPIX |
| Software | Same as predicate device | xPONENT Software |
# Differences
The TDAS GPP threshold for Salmonella was modified as compared with the predicate device (K140647). The TDAP GPP software also had some minor updates including updating some help images, default splash screen, and EULA.
Comments:
| | Modified Device | Predicate Device |
| --- | --- | --- |
| Features | xTAG Gastrointestinal Pathogen Panel (GPP) (K183023) | xTAG Gastrointestinal Pathogen Panel (GPP) (K140647) |
| TDAS GPP threshold for Salmonella | ·If Probe-1 < 300, call is NEG (Probe-2 is ignored) ·If Probe-1 ≥ 100,000, call is POS (Probe-2 is ignored) ·If 300 ≤ Probe-1 < 100,000, reflex to Probe-2: - If Probe-2 < 200, call is NEG - If Probe-2 ≥ 200, call is POS | ·If Probe-1 < 200, call is NEG (Probe-2 is ignored) ·If Probe-1 ≥ 1400, call is POS (Probe-2 is ignored) ·If 200 ≤ Probe-1 < 1400, reflex to Probe-2: - If Probe-2 < 200, call is NEG - If Probe-2 ≥ 200, call is POS |
# 6. Design Control Activities Summary:
A risk assessment of the modified device was conducted and documented according to the firm's Quality System requirements. This assessment included Failure Mode and Effects Analysis (FMEA), and hazard and risk analysis with the Salmonella threshold change and the corresponding product updates. It was demonstrated that the modification made to the assay does not affect the assay procedure and the change was not expected to impact the performance of the test or its safety and effectiveness. No new hazards or failure modes were identified with the Salmonella threshold changes in the assay-specific Assay Protocol File used with the xTAG Data Analysis Software (TDAS) for the xTAG Gastrointestinal Pathogen Panel (GPP). To confirm that the assay performance was not negatively impacted, Luminex Molecular Diagnostics, Inc. performed the following validation studies:
- Limit of Detection
No new test runs (i.e., wet testing) was performed. Data acquired for Salmonella enterica serotype Typhimurium on the MAGPIX instrument during the original LoD study were retrieved and reanalyzed using the revised TDAS software and updated threshold for that analyte.
Testing showed that the original LoD of the Salmonella target was unchanged.
- Analytical Reactivity (Inclusivity)
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- No new test runs (i.e., wet testing) was performed. Data acquired on the MAGPIX instrument during the original Analytical Reactivity study was subjected to analysis using the revised versions of the TDAS GPP software that had the new thresholds for the Salmonella target.
- The Salmonella Positive and Negative calls generated by the new software was compared to the calls generated in the original study. Data on the other targets was not analyzed.
- The acceptance criteria for this validation testing is defined as detection of all (100%) Salmonella strains tested in the initial study corresponded what was observed with the new Salmonella thresholds.
- Testing showed that all the Salmonella strains tested in the original study were detected with the revised TDAS software.
- Clinical Specimen Testing
- The accuracy for the Salmonella threshold change was evaluated using pre-selected Salmonella positive and negative, de-identified archived clinical specimens.
- Each clinical sample went through the sample pre-processing step and extraction according to the assay PI.
- The assay performance accuracy was determined by the Salmonella call agreement between the result generated by the revised TDAS and new thresholds as compared to the calls based on supplier information. Further, the overall performance accuracy was compared to that generated by the existing version of the TDAS in terms of the Salmonella analyte.
- The acceptance criteria for the testing is for the performance accuracy of the revised TDAS GPP to be at least equal to the performance of the current software version.
The firm’s validation studies showed that the Salmonella calls generated by the current (TDAS v1.20) were the same as from the revised (TDAS v1.21) program. This is indicated by the table below—
Table 1. Comparison of Results generated by TDAS GPP (US) v. 1.20 and TDAS GPP (US) v. 1.21
| | TDAS GPP (US) v. 1.20 | | | | |
| --- | --- | --- | --- | --- | --- |
| | | Positive | Negative | Invalid | Total |
| TDAS GPP (US) v. 1.21 | Positive | 58 | 0 | 0 | 58* |
| | Negative | 0 | 152 | 0 | 152 |
| | Invalid | 0 | 0 | 14 | 14 |
| | Total | 58* | 152 | 14 | |
*Four of the samples generated Salmonella Positive calls by both TDAS GPP (US) v. 1.20 and v. 1.21. These samples were reported by the Supplier as Salmonella Negative and confirmed by BDS to be Salmonella Negative. Re-testing (investigational purposes only) of these false-positive samples by GPP generated Salmonella Negative calls or were indeterminate (due to the absence of the internal control signal in the initial run of the undiluted extract; internal control was present upon re-run with diluted extract), suggesting that human errors had occurred in the initial runs.
In addition, the following aspects of the system and software were analyzed:
- The new signal thresholds were verified and acceptance criteria was met indicating the assay performance was not negatively impacted.
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- The validation of the updated software was through the analysis of clinical study data.
- Regression testing was performed to verify that the changes did not negatively impact the logic calls to generate analysis results.
- Code review was performed on the updated code of TDAS GPP (a change from the original IVD release version, v1.20 to v1.21).
- Verified proper installation of the update TDAS GPP version.
- Executed test cases to verify the code changes.
The firm provided a summary of the results from these verification and validation studies. The results demonstrated that requirements were met and there was no negative impact to assay performance.
7. Truthful and Accurate Statement, a 510(k) Summary or Statement and the Indications for Use Enclosure.
The labeling for this modified subject device has been reviewed to verify that the indication/intended use for the device is unaffected by the modification. In addition, the applicant’s description of the particular modification(s) and the comparative information between the modified and unmodified devices demonstrate that the fundamental scientific technology has not changed. The applicant has provided the design control information as specified in The New 510(k) Paradigm and on this basis, I recommend the device be determined substantially equivalent to the previously cleared (or their preamendment) device.
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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.