Uriscreen is a non-quantitative rapid screen for the detection of Urinary Tract Infection. Uriscreen detects both bacteria and/or white blood cells, common indicators of Urinary Tract Infection.
Device Story
Uriscreen is a rapid, non-quantitative screening test for urinary tract infection (UTI) designed for adult use. The device consists of a tube containing a reagent powder. The user adds a urine sample to a marked line and introduces a few drops of hydrogen peroxide solution. The principle of operation relies on the detection of catalase activity; most common UTI-causing bacteria and white blood cells are catalase-positive. The presence of catalase in the urine sample reacts with the hydrogen peroxide to produce foam, which serves as the visual output. The test is intended for use by consumers without training or instructions, as well as in clinical laboratory settings. A positive result indicates the presence of catalase, suggesting the potential presence of bacteria or white blood cells, which aids healthcare providers in identifying patients who may require further diagnostic evaluation for a UTI. The device provides a simple, rapid alternative to traditional urinalysis methods.
Clinical Evidence
Clinical evidence includes three phases of testing. Phase I/II involved consumer testing (n=65) comparing Uriscreen to medical technologist interpretation, showing 100% accuracy. Phase III involved clinical laboratory studies (n=139) comparing Uriscreen to culture (>100,000 CFU/ml), demonstrating 95.35% sensitivity and 72.92% specificity. Additional comparisons against Leukocyte esterase and Nitrite tests showed Uriscreen had higher sensitivity (95%) than LE (90%) and Nitrite (37%) for detecting positive cultures. Bench testing confirmed the catalase-based foam reaction mechanism.
Technological Characteristics
The device utilizes a reagent powder contained in a tube that reacts with hydrogen peroxide to detect catalase activity via foam production. It is a standalone, non-automated, visual-read diagnostic test. No specific materials or ASTM standards are cited. The device is intended for adult self-use or clinical use.
Indications for Use
Indicated for adults as a non-quantitative rapid screen for the detection of urinary catalase, which may be associated with white blood cells, bacteria, and other cells as indicators of urinary tract infection.
Regulatory Classification
Identification
A microorganism differentiation and identification device is a device intended for medical purposes that consists of one or more components, such as differential culture media, biochemical reagents, and paper discs or paper strips impregnated with test reagents, that are usually contained in individual compartments and used to differentiate and identify selected microorganisms. The device aids in the diagnosis of disease.
Predicate Devices
MULTISTIX- Reagent Strip for Urinalysis (Bayer Diagnostics)
Uri-Test - Nitrite in Urine Test (Technical Chemical and Product Inc.)
Submission Summary (Full Text)
{0}------------------------------------------------
#### OCT 7 1998
# 510(k) Summary
981084
Date of Summary: March 21, 1998
Product Name: Uriscreen
Sponsor's Name: Diatech Diagnostics, Inc. 90 Windom Street Boston, MA 02134
#### CORRESPONDENT: MDC ASSOCIATES
Fran White Regulatory Consultant 15 Oak Street Beverly Farms, MA 01915
SUBSTANTIALLY EQUIVALENT DEVICES:
Product: MULTISTIX- Reagent Strip for Urinalysis Manufactured by: Bayer Diagnostics
Product: Uri-Test - Nitrite in Urine Test Manufactured by: Technical Chemical and Product Inc.
PRODUCT DESCRIPTION:
Uriscreen - Uriscreen is a rapid screen for the detection of Urinary Tract Infection. Uriscreen detects Catalase activity. Most organisms that commonly cause Urinary Tract Infection are Catalase positive. Additionally, Catalase activity is an indicator of white blood cells in urine. White blood cells are a common indicator of Urinary Tract Infection.
#### INTENDED USE:
Uriscreen is a non-quantitative rapid screen for the detection of Urinary Tract Infection. Uriscreen detects both bacteria and/or white blood cells, common indicators of Urinary Tract Infection.
{1}------------------------------------------------
### SUMMARY OF TECHNOLOGY:
Uriscreen tubes contain a reagent powder, which enables Catalase detection. Urine is added to the tube to the line indicated, a few drops of hydrogen peroxide solution are added. Production of foam indicates Catalase activity. Catalase activity is indicative of bacteria and/or white blood cells in the urine. Most bacteria that commonly cause urinary tract infection are Catalase positive. The presence of bacteria and/or white blood cells in the urine are clearly indicative of Urinary Tract Infection.
#### PERFORMANCE DATA:
A clinical trial was done to compare the performance of the Uriscreen to Bayer Multistix Leukocyte esterase/Nitrite and the Uri-Test Nitrite in Urine. These data clearly demonstrate that the performance of the Uriscreen test is substantially equivalent to the predicate devices.
Phase I
#### Multistix Nitrite/LE vs. Uriscreen
| | Multistix + | Multistix - |
|---------------|-------------|-------------|
| Uriscreen + | 13 | 10 |
| Uriscreen - | 0 | 69 |
| Sensitivity = | | 100.00% |
| Specificity = | | 87.34% |
| Accuracy = | | 89.13% |
### Uri-Test Nitrite in Urine vs. Uriscreen
| | Nitrite + | Nitrite - |
|----------------------|-----------|-----------|
| Uriscreen + | 12 | 9 |
| Uriscreen - | 3 | 68 |
| Sensitivity = 80.00% | | |
| Specificity = 88.31% | | |
| Accuracy = 86.96% | | |
{2}------------------------------------------------
#### Uriscreen was also compared to reference culture method.
| Culture vs. Uriscreen | | |
|-----------------------|---------------|-----------|
| | Culture + | Culture - |
| Uriscreen + | 11 | 12 |
| Uriscreen - | 0 | 69 |
| | Sensitivity = | 100.00% |
| | Specificity = | 85.19% |
| | Accuracy = | 86.96% |
Uriscreen was performed by consumers on their own urine. Data confirm that Uriscreen is easy to use and can be effectively used by consumers with no training or instructions.
Phase II
To demonstrate the ease-of-use and the ability for the lay consumer to perform and interpret the Uriscreen test, we asked participants at a social club and MDC Associates to test blinded samples. We recruited 65 consumers to read the Uriscreen Package Insert, perform the test on a blinded sample and interpret the results. The blinded samples consisted of a negative, which contained water only and the positive sample contained water and yeast at 10 CFU/ml. All consumer results were confirmed by a trained Medical Technologist. 100% accuracy was observed.
# Consumer vs. Medical Technologist
| | Uriscreen + (Med Tech) | Uriscreen -<br>(Med Tech) | Row<br>Total |
|---------------------------|------------------------|---------------------------|--------------|
| Uriscreen +<br>(consumer) | 32 | 0 | 32 |
| Uriscreen -<br>(consumer) | 0 | 33 | 33 |
| Total | 32 | 33 | 65 |
| Sensitivity = | 100.00% |
|---------------|---------|
| Specificity = | 100.00% |
| Accuracy = | 100.00% |
{3}------------------------------------------------
## Phase III
)
To demonstrate the performance of the Uriscreen test, an Accuracy and Outcome Analysis study was done in three CLIA Registered Clinical Laboratories. Only patients presenting with symptom of Urinary Tract Infection were included in the study.
Uriscreen test results were compared to culture, and based on our protocol criteria a positive culture is considered >100,000 CFU/ml.
| | Culture + | Culture - | Row Total |
|-------------|-----------|-----------|-----------|
| Uriscreen + | 41 | 26 | 67 |
| Uriscreen - | 2 | 70 | 72 |
| Total | 43 | 96 | 139 |
Uriscreen vs. Culture (>100,000)
| Sensitivity = | 95.35% |
|---------------|--------|
| Specificity = | 72.92% |
| Accuracy = | 79.86% |
| _eukocyte esterase (LE) vs. Culture | | | |
|-------------------------------------|--|--|--|
|-------------------------------------|--|--|--|
| | (>100,000) | | | | | |
|-------|------------|----|-----------|----|--------------|--|
| | Culture + | | Culture - | | Row<br>Total | |
| LE + | | 38 | | 43 | 81 | |
| LE - | | 4 | | 54 | 58 | |
| Total | | 42 | | 97 | 139 | |
| Sensitivity = | 90.48% |
|---------------|--------|
| Specificity = | 55.67% |
| Accuracy = | 66.19% |
s
{4}------------------------------------------------
| | Nitrite vs. Culture<br>(>100,000) | | | |
|-----------|-----------------------------------|----|-----------|--------------|
| | Culture + | | Culture - | Row<br>Total |
| Nitrite + | | 16 | 2 | 18 |
| Nitrite - | | 27 | 94 | 121 |
| Total | | 43 | 96 | 139 |
Accuracy =
Based on our protocol criteria, a positive culture would have significant growth of >100,000. Uriscreen demonstrates 95% Sensitivity when compared to positive culture. Leukocyte esterase only demonstrates 90% Sensitivity when compared to positive culture and Nitrite is only 37% Sensitive.
79.14%
| Uriscreen vs. Culture (≥10,000 to |
|-----------------------------------|
| >100,000) |
| | Culture - Positive | Culture - Neg | Row Total |
|-----------------|--------------------|---------------|-----------|
| Uriscreen - Pos | 58 | 9 | 67 |
| Uriscreen - Neg | 13 | 59 | 72 |
| Total | 71 | 68 | 139 |
| Sensitivity = | 82% |
|---------------|-----|
| Specificity = | 87% |
| Accuracy = | 84% |
Uriscreen demonstrates a specificity of 87% and a sensitivity of 82% at 103 - 103 CFU/ml.
{5}------------------------------------------------
There are 9 specimens with negative culture results (No Growth) and positive Uriscreen results. The Uriscreen test will produce a positive result if other cells are present in the urine. Of the 9 positive Uriscreen/No Growth cultures, 6 were reported to have White blood cells or blood in the urine.
Uriscreen is a better indicator of UTI than either Leukocyte esterase (Sensitivity 90%) or Nitrite (Sensitivity 37%) based on positive culture results (>100,000). When you look at culture growth from >10,000 to >100,000 Uriscreen sensitivity is 82%, but the specificity is 87%.
#### STATEMENT OF SAFETY AND EFFICACY:
When compared to a Bayer Multistix and the Uriscreen was performed by untrained consumers, the product performance was as follows:
Sensitivity - 100% Specificity - 87 Accuracy - 89%
When the Uriscreen test performed by the lay consumer and was compared to Uri-Test Nitrite in Urine, the performance of the Uriscreen test was as follows:
Sensitivity - 80% Specificity - 88% Accuracy - 87%
When the Uriscreen test performed by the lay consumer was compared to culture, performance was as follows:
Sensitivity - 100% Specificity - 85% Accuracy - 87%
When Uriscreen was tested in three clinical laboratories, comparing Uriscreen test results to reference culture results, performance was as follows:
Sensitivity - 95% Specificity - 73% Accuracy - 80%
These data clearly demonstrate the safety and efficacy of Uriscreen.
Uriscreen was performed by consumers on their own urine. Data confirm that Uriscreen is easy to use and can be effectively used by consumers with no training or instructions.
Diatech Diagnostics, Inc. confirm that any/all data provided in this submission may be released upon request.
{6}------------------------------------------------
Image /page/6/Picture/2 description: The image shows the address for the Food and Drug Administration. The address is 2098 Gaither Road, Rockville MD 20850. The text is black and the background is white. The text is left-aligned.
#### OCT 7 1998
Diatech Diagnostics, Inc. c/o Fran White Regulatory Consultant MDC Associates 15 Oak Street Beverly Farms, MA 01915
Re: K981084
Trade Name: Uriscreen - A Rapid Screen for Catalase Regulatory Class: I Product Code: JXA Dated: September 1, 1998 Received: September 2, 1998
Dear Ms. White:
We have reviewed your Section 510(k) notification of intent to market the device referenced above and we have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food. Drug, and Cosmetic Act (Act). You may, therefore, market the device, subject to the general controls provisions of the Act. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration.
If your device is classified (see above) into either class II (Special Controls) or class III (Premarket Approval), it may be subject to such additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 895. A substantially equivalent determination assumes compliance with the Current Good Manufacturing Practice requirements, as set forth in the Quality System Regulation (QS) for Medical Devices: General regulation (21 CFR Part 820) and that, through periodic OS inspections, the Food and Drug Administration (FDA) will verify such assumptions. Failure to comply with the GMP regulation may result in regulatory action. In addition, FDA may publish further announcements concerning your device in the Federal Register. Please note: this response to your premarket notification submission does not affect any obligation you might have under sections 531 through 542 of the Act for devices under the Electronic Product Radiation Control provisions, or other Federal laws or regulations.
{7}------------------------------------------------
#### Page 2
Under the Clinical Laboratory Improvement Amendments of 1988 (CLIA-88), this device may require a CLIA complexity categorization. To determine if it does, you should contact the Centers for Disease Control and Prevention (CDC) at (770)488-7655.
This letter will allow you to begin marketing your device as described in your 510(k) premarket notification. The FDA finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801 and additionally 809.10 for in vitro diagnostic devices), please contact the Office of Compliance at (301) 594-4588. Additionally, for questions on the promotion and advertising of your device, please contact the Office of Compliance at (301) 594-4639. Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR 807.97). Other general information on your responsibilities under the Act may be obtained from the Division of Small Manufacturers Assistance at its toll free number (800) 638-2041 or at (301) 443-6597 or at its internet address "http://www.fda.gov/cdrh/dsmamain.html"
Sincerely yours,
Steven Butman
Steven I. Gutman, M.D., M.B.A. Director Division of Clinical Laboratory Devices Office of Device Evaluation Center for Devices and Radiological Health -------
Enclosure
{8}------------------------------------------------
## 510(k) Submission Uriscreen™ Diatech Diagnostics, Inc. K981084 Addendum 2 8-31-98
Page 4 of 4
# Statement Indication of Use
510(k) Number: K981084 Uriscreen - a rapid screen for catalase. Device Name:
Indication for Use:
Uriscreen is a non-quantitative rapid screen, which detects catalase. Urinary catalase may be associated with White Blood Cells, bacteria and other cells, some of which may be indicators of urinary tract infection. Only Adults should use the test.
(PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON ANOTHER PAGE IF NEEDED) Concurrence of CDRH, Office of Device Evaluation (ODE)
Woody Dubois
(Division Sign-Off)
Division of Clinical Laboratory Devices
510(k) Number K981084
J Prescription Use (Per 21 CFR 801.109)
OR
Image /page/8/Picture/11 description: The image shows the text "Over-The-Counter Use" in bold font, followed by the text "(Optional Format 1-2-96)" in a smaller font size. To the left of the text is a symbol that looks like a square with an X through it. The text and symbol appear to be part of a label or instruction.
CONFIDENTIAL
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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.