The AXINON® LDL-p Test System is intended to measure lipoprotein particles to quantify LDL particle number (LDL-p) using nuclear magnetic resonance (NMR) spectroscopy that measures the 600 MHz proton nuclear magnetic resonance (NMR) spectrum of a human serum sample. LDL-p concentration values are used in conjunction with other lipid measurements and clinical evaluation to aid in the management of lipoprotein disorders associated with cardiovascular disease. This test system is for professional use only.
Device Story
The AXINON® LDL-p Test System is a clinical laboratory analyzer using 600 MHz nuclear magnetic resonance (NMR) spectroscopy to quantify LDL particle number (LDL-p) in human serum. The system consists of an NMR analyzer, a workstation running AXINON® Software, and an optional AXINON® Sample Wizard for manual preparation. The device measures the proton NMR spectrum of serum; it performs spectral deconvolution of the composite signal at approximately 0.85 ppm to isolate lipid signals from VLDL, LDL, and HDL subclasses. These subclass signal amplitudes are converted to particle concentrations (nmol/L). The system is operated by laboratory professionals in a clinical setting. Output is used by clinicians alongside other lipid measurements to manage cardiovascular disease-related lipoprotein disorders. The device includes automated calibration and quality control using internal standards (Maleic Acid and Acetic Acid) to ensure spectral quality and normalization.
Clinical Evidence
Bench testing only. Analytical validation included precision (within-run CV 0.99-3.25%, within-lab CV 2.61-5.38%), linearity (R²=0.998, range 300-3100 nmol/L), LoQ (139.7 nmol/L), and LoD (99.1 nmol/L). Method comparison against the predicate using 102 volunteer samples showed a Passing-Bablok regression slope of 1.07 and Pearson's r of 0.955. Interference testing identified potential false-low results with Naproxen (>0.55 mmol/L) and 1-propanol (>1 mmol/L). Reference intervals were established via transference from literature (Matyus et al., 2014).
Technological Characteristics
The device utilizes 600 MHz proton NMR spectroscopy for detection. It is a clinical laboratory analyzer system comprising an NMR spectrometer, a workstation, and software. It requires human serum samples. Calibration and quality control are performed using internal standards (Maleic Acid and Acetic Acid). The system is designed for professional use in clinical laboratories.
Indications for Use
Indicated for professional use to quantify LDL particle number (LDL-p) in human serum samples to aid in the management of lipoprotein disorders associated with cardiovascular disease in the general patient population.
Regulatory Classification
Identification
A lipoprotein test system is a device intended to measure lipoprotein in serum and plasma. Lipoprotein measurements are used in the diagnosis and treatment of lipid disorders (such as diabetes mellitus), atherosclerosis, and various liver and renal diseases.
{0}------------------------------------------------
Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the FDA logo is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
July 19, 2023
numares AG Stefanie Dukorn Head of Quality and Regulatory Affairs Am BioPark 9 D-93053 Regensburg Germany
Re: K210801
Trade/Device Name: AXINON® LDL-p Test System Regulation Number: 21 CFR 862.1475 Regulation Name: Lipoprotein Test System Regulatory Class: Class I, subject to limitations of exemptions per 21 CFR 862.9(c)(4) Product Code: MRR Dated: November 18 2022 Received: November 18, 2022
Dear Stefanie Dukorn:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate 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) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. 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. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801 and Part 809); medical device reporting of medical device-related adverse events) (21 CFR
{1}------------------------------------------------
803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely.
Paula V. Caposino -2
Paula Caposino, Ph.D. Acting Deputy Director Division of Chemistry and Toxicology Devices OHT7: Office of In Vitro Diagnostics Office of Product Evaluation and Ouality Center for Devices and Radiological Health
Enclosure
{2}------------------------------------------------
# Indications for Use
510(k) Number (if known) K210801
Device Name AXINON® LDL-p Test System
#### Indications for Use (Describe)
The AXINON® LDL-o Test System is intended to measure lipoprotein particles to quantify LDLp) using nuclear magnetic resonance (NMR) spectroscopy that measures the 600 MHz proton nuclear magnetic resonance (NMR) spectrum of a human serum sample. LDL-p concentration values are used in conjunction with other lipid measurements and clinical evaluation to aid in the management of lipoprotein disorders associated with cardiovascular disease. This test system is for professional use only.
| Type of Use (Select one or both, as applicable) | |
|-------------------------------------------------|-------------------------------------------------------------------------------------------------------|
| | <span> <input checked="" type="checkbox"/> Prescription Use (Part 21 CFR 801 Subpart D) </span> |
| | <span> <input type="checkbox"/> Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
This section applies only to requirements of the Paperwork Reduction Act of 1995.
#### *DO NOT SEND YOUR COMPLETED FORM TO THE PRA STAFF EMAIL ADDRESS BELOW.*
The burden time for this collection of information is estimated to average 79 hours per response, including the time to review instructions, search existing data sources, gather and maintain the data needed and complete and review the collection of information. Send comments regarding this burden estimate or any other aspect of this information collection, including suggestions for reducing this burden, to:
> Department of Health and Human Services Food and Drug Administration Office of Chief Information Officer Paperwork Reduction Act (PRA) Staff PRAStaff(@fda.hhs.gov
"An agency may not conduct or sponsor, and a person is not required to respond to, a collection of information unless it displays a currently valid OMB number."
{3}------------------------------------------------
# 510(k) SUMMARY
This summary of 510(k) safety and effectiveness information is being submitted in accordance with the requirements of SMDA 1990 and 21 CFR 807.92. The assigned 510(k) number is K210801.
| 807.92 (a)(1): | Name: | numares AG |
|----------------|----------|----------------------------------------------------------------------------------------|
| | Address: | Am BioPark 9, 93053 Regensburg, Germany |
| | Phone: | +49 941 280 949-00 |
| | Email: | info@numares.com |
| | Contact: | Dr. Stefanie Dukorn, direct line +49 941 280 949-22, email stefanie.dukorn@numares.com |
### 807.92 (a)(2): Device name- trade name and common name, and classification
### Trade name: AXINON® LDL-p Test System
Common Name: AXINON® LDL-p Test System
Classification Names:
Lipoprotein test system, 21 CFR 862.1475, Product Code MRR
# 807.92 (a)(3): Identification of the legally marketed predicate devices
The AXINON® LDL-p Test System is substantially equivalent to the NMR Lipoprofile Assay (K063841).
# 807.92 (a)(4): Device Description
The AXINON® LDL-p Test System involves measurement of the 600 MHz proton NMR spectrum of a serum sample, deconvolution of the composite signal at approximately 0.85 ppm to produce signal amplitudes of lipoprotein subclass proportions that contribute to the composite serum signal, and conversion of these subclass signal amplitudes to lipoprotein subclass concentrations. The 0.85 ppm serum NMR signal arises mainly from the methyl group protons of the lipids carried in the VLDL, LDL and HDL subclasses of varying diameters. The NMR signals from the various lipids within the lipoprotein subclasses have unique and distinctive shapes and frequencies, uncovered by the granular decomposition of the composite serum signal. Each of these lipid signal representatives is proportional to the number of subclass particles emitting the signal, which enables subclass particle concentrations to be calculated from the subclass signal amplitudes derived from the spectral deconvolution analysis. LDL subclass particle concentrations, in units of nanomoles of particles per liter (nmol/L), are summed to give the reported total LDL particle concentration (LDL-p).
{4}------------------------------------------------
The AXINON® LDL-p Test System including the AXINON® Analyzer is a clinical laboratory analyzer that employs nuclear magnetic resonance spectroscopic detection to quantify multiple analytes in biological fluid specimens, specifically human serum.
The AXINON® Analyzer system is distributed across two separate computers:
The workstation running AXINON® Software is the main host of the system. It controls user interfaces, data handling, results calculation, schedules and manages all activities required to process a sample, and manages remote access to the NMR system.
In addition, AXINON® Analyzer comes with the optional software utility AXINON® Sample Wizard that supports manual sample preparation procedures.
The NMR workstation controls all magnet operations and the hardware in the sample handler.
### 807.92 (a)(5): Intended Use
The AXINON® LDL-p Test System is intended to measure lipoprotein particles to quantify LDL particle number (LDL-p) using nuclear magnetic resonance (NMR) spectroscopy that measures the 600 MHz proton nuclear magnetic resonance (NMR) spectrum of a human serum sample. LDL-p concentration values are used in conjunction with other lipid measurements and clinical evaluation to aid in the management of lipoprotein disorders associated with cardiovascular disease. This test system is for professional use only.
# 807.92 (a)(6): Technological Similarities and Differences to the Predicate
The AXINON® LDL-p Test System is as safe and effective as the predicate device, K063841. The minor technological differences between the AXINON® LDL-p Test System and the predicate device (spectrometer frequency) raise no new issues of safety or effectiveness. The restriction of AXINON® LDL-p to a single output parameter (without HD-C and Triglycerides) does not raise new issues of safety of effectiveness, as these are readily available in routine diagnostic and all results are used in conjunction with other lipid measurements and clinical evaluation.
{5}------------------------------------------------
# Comparison with predicate
| | Predicate NMR Lipoprofile-2<br>Assay and NMR Profiler Test<br>System | Proposed AXINON® LDL-p Test<br>System |
|---------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 510(k) number | K063841 | K210801 |
| Intended Use /<br>Indications for<br>Use | The NMR LipoProfile® -2 test, used<br>with the NMR Profiler, an automated<br>NMR spectrometer, measures<br>lipoprotein particles to quantify LDL<br>particle number (LDL-P), HDL<br>cholesterol (HDL-C), and<br>triglycerides in serum and plasma<br>using nuclear magnetic resonance<br>(NMR) spectroscopy. LDL-P and<br>these NMR-derived concentrations of<br>triglycerides and HDL-C are used in<br>conjunction with other lipid<br>measurements and clinical evaluation<br>to aid in the management of<br>lipoprotein disorders associated with<br>cardiovascular disease. This test is<br>performed and provided as a service<br>by LipoScience Laboratory. | The AXINON® LDL-p Test<br>System is intended to measure<br>lipoprotein particles to quantify<br>LDL particle number (LDL-p)<br>using nuclear magnetic resonance<br>(NMR) spectroscopy that<br>measures the 600 MHz proton<br>nuclear magnetic resonance<br>(NMR) spectrum of a human<br>serum sample. LDL-p<br>concentration values are used in<br>conjunction with other lipid<br>measurements and clinical<br>evaluation to aid in the<br>management of lipoprotein<br>disorders associated with<br>cardiovascular disease. This test<br>system is for professional use<br>only. |
| Technology | Nuclear magnetic resonance | Same |
| Multi- analyte | No | Same |
| Detection Method | 400 MHz proton NMR spectrum | 600 MHz proton NMR spectrum |
| Data Acquisition<br>Software | Possess data acquisition software and<br>software to process detected signals | Same |
| Patient<br>Population | General | Same |
| Instrument<br>Platform | NMR profiler | AXINON® Analyzer |
| Specimen | Human serum and plasma | Human serum |
| Analyzer | 400 MHz NMR Spectrometer | 600 MHz NMR Spectrometer |
| Spectral<br>Deconvolution<br>Computational<br>Processes | Linear least-squares with singular<br>value decomposition of the spectra<br>from each specimen | Similar |
| Reference Range | Distribution of LDL-p observed in a<br>general apparently healthy population<br>of men and women | Same |
We performed analytical validations to demonstrate that the AXINON® LDL-p test system is equivalent to the NMR LipoProfile® test on the Vantera Clinical Analyzer. The comparative analytical performance is shown in tables below.
{6}------------------------------------------------
| | LDL-p<br>Detection<br>capability | AXINON® LDL-p Test System | Predicate Device | | | | | | | |
|------|--------------------------------------------|---------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|--------|--------|--------|------|-----------------------------------------------|--|
| | LoB | 0 nmol/L | n.d. | | | | | | | |
| | LoD | 99 nmol/L | n.d. | | | | | | | |
| | LoQ | 139.7 nmol/L | 300 nmol/L | | | | | | | |
| | Measuring<br>range | 300 - 3100 nmol/L | 300 - 3500 nmol/L | | | | | | | |
| | Linearity<br>regression | y = 1.05x - 28.33 | n.d. | | | | | | | |
| | Linearity R2 | 0.998 | n.d. | | | | | | | |
| | Within-run<br>precision<br>(Repeatability) | LV 1 | LV 2 | LV 3 | LV 4 | LV 5 | LV 6 | LV 1 | LV 2 | |
| Mean | Lot1 | 653.8 | 1006.8 | 1069.0 | 1098.0 | 1424.9 | 2857.3 | | | |
| | Lot2 | 674.2 | 1026.3 | 1081.6 | 1117.0 | 1474.5 | 2909.5 | 2222 | 1042 | |
| | Lot3 | 656.2 | 1001.2 | 1065.9 | 1105.2 | 1447.8 | 2875.4 | | | |
| SD | Lot1 | 14.88 | 20.34 | 22.54 | 16.95 | 24.28 | 35.76 | | | |
| | Lot2 | 21.51 | 22.95 | 23.16 | 22.07 | 23.41 | 33.02 | 49,1 | 47.7 | |
| | Lot3 | 21.33 | 21.25 | 20.92 | 24.04 | 23.93 | 28.61 | | | |
| CV % | Lot1 | 2.28 | 2.02 | 2.11 | 1.54 | 1.70 | 1.25 | | | |
| | Lot2 | 3.19 | 2.24 | 2.14 | 1.98 | 1.59 | 1.13 | 2.2% | 4.6% | |
| | Lot3 | 3.25 | 2.12 | 1.96 | 2.18 | 1.65 | 0.99 | | | |
| | Within-lab<br>Precision | LV 1 | LV 2 | LV 3 | LV 4 | LV 5 | LV 6 | LV 1 | LV 2 | |
| Mean | Lot1 | 653.8 | 1006.8 | 1069.0 | 1098.0 | 1424.9 | 2857.3 | | | |
| | Lot2 | 674.2 | 1026.3 | 1081.6 | 1117.0 | 1474.5 | 2909.5 | 1925 | 1053 | |
| | Lot3 | 656.2 | 1001.2 | 1065.9 | 1105.2 | 1447.8 | 2875.4 | | | |
| SD | Lot1 | 29.16 | 32.93 | 36.75 | 33.37 | 37.17 | 116.15 | | | |
| | Lot2 | 36.26 | 31.72 | 38.22 | 34.22 | 39.67 | 104.63 | 66.7 | 68.4 | |
| | Lot3 | 34.22 | 40.14 | 32.28 | 40.39 | 45.41 | 112.62 | | | |
| CV% | Lot1 | 4.46 | 3.27 | 3.44 | 3.04 | 2.61 | 4.07 | | | |
| | Lot2 | 5.38 | 3.09 | 3.53 | 3.06 | 2.69 | 3.60 | 3.5% | 6.5% | |
| | Lot3 | 5.22 | 4.01 | 3.03 | 3.65 | 3.14 | 3.92 | | | |
| | Method<br>comparison | | Linear regression<br>y = 1.07x -90.16, R=0.955 | clinical | | | | | | |
| | Interference<br>study | | 10 Endogenous and 26 Exogenous were tested.<br>Naproxen (sodium salt) at above 0.55 mmol/L<br>may cause falsely low results.<br>1-propanol at concentrations above 1 mmol/L<br>may cause missing or falsely low results. | | | | | | 5 Endogenous and 20<br>Exogenous were tested. | |
| | Specimen<br>stability | | Prepared serum:<br>Refrigerated Stability 5 days | | | | | | NMR Lipotube: freshly<br>draw serum | |
# 807.92 (b)(1): Brief Description of Nonclinical Data
{7}------------------------------------------------
Linearity: For LDL-p, the measurement procedure shows linearity for the interval from 300 to 3100 nmol/L, with deviations from linearity within ± 10% for the range from 800 nmol/L to 3100 nmol/L and within ± 80 nmol/L for the range from 300 nmol/L to 800 nmol/L. In a study with 11 levels and five replicates for each level, the maximum observed % deviation from linearity was 23.2% (at 219 nmol/L) and the maximum observed absolute deviation was 126.7 nmol/L (at 3285 nmol/L).
Precision: within-run imprecision and within-lab precision were determined at six concentration levels, measured in duplicates in two runs each day over a period of 20 days with three lots of reagents.
| Sample ID<br>(Description) | lot | Mean<br>Value | N | Repeatability | | Between-<br>Run | | Between-Day | | Within-<br>Laboratory | |
|------------------------------------------|-----|---------------|----|---------------|------|-----------------|------|-------------|------|-----------------------|------|
| | | | | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| Pool2<br>(pooled<br>patient<br>samples) | 1 | 653.8 | 80 | 14.88 | 2.28 | 25.07 | 3.83 | 0 | 0 | 29.16 | 4.46 |
| | 2 | 674.2 | 80 | 21.51 | 3.19 | 29.19 | 4.33 | 0 | 0 | 36.26 | 5.38 |
| | 3 | 656.2 | 80 | 21.33 | 3.25 | 26.76 | 4.08 | 0 | 0 | 34.22 | 5.22 |
| Pool 4<br>(pooled<br>patient<br>samples) | 1 | 1006.8 | 80 | 20.34 | 2.02 | 22.35 | 2.22 | 13.09 | 1.30 | 32.93 | 3.27 |
| | 2 | 1026.3 | 80 | 22.95 | 2.24 | 9.63 | 0.94 | 19.67 | 1.92 | 31.72 | 3.09 |
| | 3 | 1001.2 | 80 | 21.25 | 2.12 | 32.20 | 3.21 | 11.06 | 1.10 | 40.14 | 4.01 |
| Pool 3<br>(pooled<br>patient<br>samples) | 1 | 1069.0 | 80 | 22.54 | 2.11 | 25.71 | 2.41 | 13.47 | 1.26 | 36.75 | 3.44 |
| | 2 | 1081.6 | 80 | 23.16 | 2.14 | 21.72 | 2.01 | 21.28 | 1.97 | 38.22 | 3.53 |
| | 3 | 1065.9 | 80 | 20.92 | 1.96 | 20.84 | 1.95 | 13.05 | 1.22 | 32.28 | 3.03 |
| Pool 1<br>(pooled<br>patient<br>samples) | 1 | 1098.0 | 80 | 16.95 | 1.54 | 23.98 | 2.18 | 15.85 | 1.44 | 33.37 | 3.04 |
| | 2 | 1117.0 | 80 | 22.07 | 1.98 | 16.70 | 1.50 | 20.13 | 1.80 | 34.22 | 3.06 |
| | 3 | 1105.2 | 80 | 24.04 | 2.18 | 23.42 | 2.12 | 22.47 | 2.03 | 40.39 | 3.65 |
| Pool 5<br>(pooled<br>patient<br>samples) | 1 | 1424.9 | 80 | 24.28 | 1.70 | 22.35 | 1.57 | 17.12 | 1.20 | 37.17 | 2.61 |
| | 2 | 1474.5 | 80 | 23.41 | 1.59 | 24.86 | 1.69 | 20.19 | 1.37 | 39.67 | 2.69 |
| | 3 | 1447.8 | 80 | 23.93 | 1.65 | 25.72 | 1.78 | 28.78 | 1.99 | 45.41 | 3.14 |
| Pool 6<br>(commercial<br>control) | 1 | 2857.3 | 80 | 35.76 | 1.25 | 33.29 | 1.17 | 105.38 | 3.69 | 116.15 | 4.07 |
| | 2 | 2909.5 | 80 | 33.02 | 1.13 | 47.33 | 1.63 | 87.28 | 3.00 | 104.63 | 3.60 |
| | 3 | 2875.4 | 80 | 28.61 | 0.99 | 55.11 | 1.92 | 93.96 | 3.27 | 112.62 | 3.92 |
Method comparison: The experiment was performed on 102 samples from volunteers against the comparative method distributed over three different sites. Passing-Bablok regression slopes were found to deviate less than 15% from 1.0 for all sites (1.12, 0.99, 1.06; combined 1.07). The estimated mean relative bias with respect to the comparative method was found to be -1.04% overall and -2.14%. -0.99% and 0.01% for the different sites, respectively. The estimated mean relative bias therefore lies well within the (optional) acceptance criterion of < 10%. All observed values covered the claimed measuring range. No data was found to be missing.
{8}------------------------------------------------
Image /page/8/Figure/0 description: This image is a scatter plot comparing two methods of measuring LDL-p. The x-axis represents the LDL-p Comparative Measurement Procedure in nmol/L, while the y-axis represents the AXINON LDL-p in nmol/L. The plot includes a Passing Bablok Regression Fit with the equation 1.07*Comp.MP - 90.16 [nmol/L], based on 102 data points, along with an identity line. The Pearson's r correlation coefficient is 0.955, indicating a strong positive correlation between the two measurement methods.
Limit of quantification: The experiment was performed on a single instrument with three lots of reagents; 20 replicates from 4 different serum pools of low concentration were measured within 3 days. The lowest concentration that still meets the total CV of < 20% over all batches is 139.7 nmol/l, representing the limit of quantification.
Limit of blank and limit of detection: The limit of blank and limit of detection was determined according to an internal protocol on the basis of guideline CLSI EP17-A2. The limit of blank is zero and was confirmed by testing of 30 samples with three lots of reagents. The limit of detection was determined using the probit approach. The experiment was performed with two lots of reagents. Three sample pools were measured in eight dilution levels per pool in replicates of seven over three days. The limit of detection is 99.1 nmol/1.
Interfering substances: Two human serum specimens with different LDL-p concentrations were tested for each substance in five replicates each with a single lot of reagents on a single device. Criterion: Recovery within ± 10 % of initial value.
Naproxen (sodium salt) at above 541 umol/L may cause falsely low results (up to -14.11%). 1-propanol at concentrations above 1 mmol/L may cause missing or falsely low results.
{9}------------------------------------------------
### Traceability, Stability, Assigned values (controls, calibrators)
# AXINON® Serum Calibrator (NMR instrument calibration)
The AXINON® Serum Calibrator (containing Maleic Acid as Sodium salt), is used as the NMR calibrator for the AXINON® Analyzer. AXINON® Serum Calibrator is used routinely as a calibrator once per measured rack during measurement startup to establish current normalization factors in each analytical run. It also serves as one quality assessment tool to ensure quality NMR spectra are produced by the NMR analyzer. The stability of AXINON® Serum Calibrator under recommended storage conditions was evaluated for a period of more than 36 months. It was stored refrigerated at 2-10°C, in its primary packaging. AXINON® Serum Calibrator samples were evaluated for maleic acid signal integrals regularly during the observation period. The AXINON® Serum Calibrator is stable for 12 months in the primary packaging at the recommended refrigerated storage conditions. To assign values, 15 samples of a new lot of AXINON® Serum Calibrator are measured using 15 samples of a certified reference material as master calibrator. Means, Standard Deviations and % CVs are computed and values are assigned.
### AXINON® Serum Control
The AXINON® Serum Control is used as the NMR control (comprising Acetic Acid as Sodium salt) for the AXINON® Analyzer. AXINON® Serum Control is used routinely as a quality control material once per measured rack during measurement startup and termination to verify current normalization factors in each analytical run. It also serves as second quality assessment tool to ensure quality NMR spectra are produced by the NMR analyzer. The stability of AXINON® Serum Control under recommended storage conditions was evaluated for a period of more than 24 months. It was stored refrigerated at 2-10°C, in its primary packaging. AXINON® Serum Control samples were evaluated for Acetic acid concentration regularly during the observation period. The AXINON® Serum Control is stable for 12 months in the primary packaging at the recommended refrigerated storage conditions. To assign values, 30 samples of a new lot of AXINON® Serum Control are run in house on three different runs using standard calibration procedures. Means, Standard Deviations and % CVs are computed, and values are assigned.
### External Controls
Bio-Rad LIQUID ASSAYED MULTIQUAL is frozen human serum-based control material available in three levels, prepared and packaged by Bio-Rad Laboratories.
It is recommended that two levels of quality control materials are tested in the same manner as patient samples, before or during patient sample processing for each analyte being tested. To verify system performance, analyze control materials:
- After calibration ,
- According to federal, state or local regulations or at least once every day when patient testing is being performed.
{10}------------------------------------------------
It is recommended that each laboratory establish its own mean and acceptance range for each new lot of controls. Patient results should not be reported if the Quality Control values are not within the expected range.
### 807.92b)(2): Brief Description of Clinical Data
a. Clinical Sensitivity:
Not Applicable
## b. Clinical specificity:
Not Applicable
### c. Other clinical supportive data (when a. and b. are not applicable):
Not Applicable
### 1. Clinical cut-off:
Not Applicable
2. Expected values: In order to confirm the distribution of LDL-p values measured with AXINON Serum Kit 2.0 and AXINON LDL-p with AXINON Analyzer 1.0, 40 serum samples from apparently healthy subjects (20 men, 20 women, residents in the United States) were analyzed. No outliers were detected by the Tukey method (1977). The reference interval was determined according to an internal protocol on the basis of guideline CLSI EP28-A3C by transference from the interval determined by Matyus et al., Clinical Biochemistry 47 (2014) 203-210.
The reference interval for LDL-p is 542 - 1986 nmol/L for women, and 528 - 2169 nmol/L for men, being the central 90% of values (at the 5th and 95th percentiles).
Each laboratory should investigate the transferability of the expected values to its own patient population and if necessary, determine its own reference ranges.
# 807.92 (b)(3): Conclusions from Nonclinical and Clinical Data
The conclusions drawn from the analytical and clinical data demonstrate that the device is substantially equivalent to the predicate.
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.