CEDIA MYCOPHENOLIC ACID ASSAY, CALIBRATORS, MAS MYCOPHENOLIC ACID CONTROLS
K081083 · Thermo Fisher Scientific · OAV · Dec 19, 2008 · Clinical Toxicology
Device Facts
Record ID
K081083
Device Name
CEDIA MYCOPHENOLIC ACID ASSAY, CALIBRATORS, MAS MYCOPHENOLIC ACID CONTROLS
Applicant
Thermo Fisher Scientific
Product Code
OAV · Clinical Toxicology
Decision Date
Dec 19, 2008
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3840
Device Class
Class 2
Indications for Use
The CEDIA Mycophenolic Acid Assay is an in vitro diagnostic medical device intended for the quantitative measurement of mycophenolic acid in human plasma using automated clinical chemistry analyzers as an aid in the management of mycophenolic acid therapy in renal and cardiac transplant patients. The CEDIA Mycophenolic Acid Calibrators are intended for use in the calibration of the CEDIA MPA Assay. The MAS Mycophenolic Acid Controls are intended for use as assayed quality control material for validation of MPA assays
Device Story
Quantitative homogeneous immunoassay; measures mycophenolic acid (MPA) in human plasma/serum. Input: patient plasma/serum samples. Principle: competitive immunoassay using genetically engineered beta-galactosidase fragments (enzyme donor and enzyme acceptor) and anti-MPA polyclonal antibodies. Analyte in sample competes with MPA-conjugated enzyme donor for antibody binding sites; free enzyme donor re-associates with enzyme acceptor to form active enzyme; active enzyme cleaves substrate to produce color change measured spectrophotometrically. Output: MPA concentration (µg/mL). Used in clinical laboratories on automated chemistry analyzers (e.g., Hitachi 917). Results aid clinicians in managing immunosuppressive therapy for transplant patients. Cross-reacts with AcMPAG metabolite; requires identification of assay on patient reports for result interpretation.
Clinical Evidence
No clinical data provided. Substantial equivalence established through bench testing and performance verification.
Technological Characteristics
Quantitative homogeneous immunoassay. Reagents: anti-MPA polyclonal antibodies, beta-galactosidase enzyme donor/acceptor fragments, chlorophenol red substrate. Form factor: liquid-ready reagents, calibrators, and controls. Energy source: spectrophotometric measurement. Connectivity: automated clinical chemistry analyzers. Sterilization: not applicable (reagents). Software: embedded in clinical chemistry analyzer.
Indications for Use
Indicated for quantitative measurement of mycophenolic acid in human plasma to manage therapy in renal and cardiac transplant patients.
Regulatory Classification
Identification
A sirolimus test system is a device intended to quantitatively determine sirolimus concentrations in whole blood. Measurements are used as an aid in management of transplant patients receiving therapy with sirolimus.
Special Controls
*Classification.* Class II (special controls). The special control is FDA's guidance document entitled “Class II Special Controls Guidance Document: Sirolimus Test Systems.” See § 862.1(d) for the availability of this guidance document.
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k081083
B. Purpose for Submission:
New assay
C. Measurand:
Mycophenolic Acid
D. Type of Test:
Quantitative homogeneous immunoassay
E. Applicant:
Thermo Fisher Scientific
F. Proprietary and Established Names:
CEDIA Mycophenolic Acid Assay
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| OAV | Sirolimus Test System (classification name) | 862.3840 | Toxicology |
| DLJ | Clinical Toxicology Calibrator | 862.3200 | Toxicology |
| LAS | Clinical Toxicology Control Material | 862.3280 | Toxicology |
{1}
H. Intended Use:
1. Intended use(s):
The CEDIA Mycophenolic Acid Assay is an *in vitro* diagnostic immunoassay intended for the quantitative determination of mycophenolic acid in human plasma or serum using automated clinical chemistry analyzers, as an aid in the management of mycophenolic acid therapy in renal and cardiac transplant patients.
The CEDIA Mycophenolic Acid Calibrators are intended for use in the calibration of the CEDIA MPA Assay.
The MAS Mycophenolic Acid Controls are intended for use as assayed quality control material for validation of MPA Assays.
2. Indication(s) for use:
See intended use
3. Special conditions for use statement(s):
The assay cross-reacts with AcMPAG, the acyl glucuronide metabolite of MPA (see cross-reactivity section, below) and may have an overall positive bias relative to reference methods or other assays that do not cross-react with metabolites. The relative bias in any particular patient sample depends in part on the metabolite concentration in that sample.
Laboratories should include identification of the assay used on patient reports to aid in interpretation of results. Also see the Expected Values section, below.
For prescription use only.
4. Special instrument requirements:
Performance characteristics represented in the 510(k) were determined on the Hitachi 917.
I. Device Description:
The device consists of a set of reagents including anti-MPA polyclonal antibodies in buffer with preservatives and stabilizer, B-galactosidase “acceptor fragment” in buffer with preservatives, MPA conjugated B-galactosidase “donor fragment”, chlorophenol red, and B-D-galactopyranoside with stabilizers and preservatives.
Calibrators
{2}
The CEDIA MPA Calibrator kit is comprised of liquid-ready to use, low and high calibrators, prepared in protein-based matrix containing stabilizers and less than 0.1% sodium azide as a preservative. The low calibrator contains no analyte; the high calibrator contains approximately 10 µg/mL MPA.
## Controls
The MAS MPA Controls are liquid for ready-to-use controls prepared in plasma-based matrix consisting of human plasma, stabilizers and less than 0.1% sodium azide as a preservative. The 3 target concentrations for controls are 1.0, 2.5, and 6.0 µg/mL.
Materials of human origin, used in formulation of the MAS MPA controls, are tested for HIV1, HIV2, Hepatitis B, and Hepatitis C by FDA approved methods and confirmed as negative. However, as no test method can rule out infectious material with absolute certainty, the material must be handled as though infectious.
## J. Substantial Equivalence Information:
1. Predicate device name(s): Roche Total Mycophenolic Acid Assay
2. Predicate K number(s): k063520
3. Comparison with predicate:
Both assays have the same intended use. The tests differ in terms of test principle: The CEDIA Mycophenolic Acid Assay is an immunoassay which utilizes antibodies to mycophenolic acid. The predicate device is based on enzyme-(inosine monophosphate dehydrogenase) inhibition and enzyme mimicking principles. The assay range for this device extends to 10 µg/mL. The range for the predicate device extends to 15 µg/mL.
## K. Standard/Guidance Document Referenced (if applicable):
EP5-A2, CLSI Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline – Second Edition, EP5-A2 (2004).
## L. Test Principle:
The assay is based on the enzyme β-galactosidase, which has been genetically engineered into two inactive fragments termed enzyme donor (ED) and enzyme acceptor (EA). These fragments spontaneously re-associate to form fully active enzymes that, in assay format, cleave a substrate, generating a color change that can be measured spectrophotometrically. In the assay, analyte in the specimen competes with analyte conjugated to ED of β-galactosidase for limited numbers of antibody binding sites. If analyte is present in the sample, it binds to the antibody, leaving the ED conjugate free to form active enzymes with the EA. If analyte is not present in the sample, the antibody binds to analyte conjugated to ED, inhibiting the re-association of ED to EA, and no active enzyme is formed. The amount of active enzyme formed and resultant absorbance
{3}
change are directly proportional to the amount of drug present in the sample.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Precision was evaluated using pooled patient samples, spiked samples, and MAS MPA Controls. The two spiked samples (#1 and #3, in the table below) were prepared by adding MPA stock solution to negative plasma specimens. The pooled patient sample (#2, below) was prepared by combining specimens from transplant patients receiving mycophenolic acid therapy. The three controls were manufactured in a plasma-based matrix and spiked with MPA stock solution. Results were evaluated according to the CLSI EP5-A2 precision protocol. For each of the 21 runs, three cups of each sample were tested in duplicate to generate 6 data points for each sample per run. Calibration was performed for each run. Results are summarized in the following table.
| | Sample 1 | Sample 2 | Sample 3 | Control 1 | Control 2 | Control 3 |
| --- | --- | --- | --- | --- | --- | --- |
| N | 126 | 126 | 126 | 126 | 126 | 126 |
| Mean (μg/mL) | 1.02 | 2.39 | 5.97 | 1.08 | 2.67 | 5.86 |
| Within-run SD (μg/mL) | 0.06 | 0.07 | 0.09 | 0.06 | 0.06 | 0.12 |
| Within-run %CV | 5.6 | 2.8 | 1.5 | 5.5 | 2.2 | 2.0 |
| Total-run SD (μg/mL) | 0.08 | 0.09 | 0.14 | 0.10 | 0.13 | 0.20 |
| Total-run %CV | 7.7 | 4.0 | 2.3 | 9.5 | 4.8 | 3.3 |
Similar precision was observed during external site studies, as shown in the table below. At external "site 1", six replicates were tested once a day for 5 days within a ten-day span (total n=30). At external "site 2", six replicates were tested twice a day for 5 days (total n=60).
| | External site 1 | | | External site 2 | | |
| --- | --- | --- | --- | --- | --- | --- |
| | Sample 1 | Sample 2 | Sample 3 | Sample 1 | Sample 2 | Sample 3 |
| N | 30 | 30 | 30 | 60 | 60 | 60 |
| Mean (μg/mL) | 1.02 | 2.62 | 6.06 | 0.99 | 2.49 | 5.7 |
| Within-run SD (μg/mL) | 0.07 | 0.06 | 0.10 | 0.08 | 0.09 | 0.11 |
| Within-run %CV | 6.6 | 2.3 | 1.7 | 7.9 | 3.6 | 2.0 |
| Total-run SD (μg/mL) | 0.08 | 0.07 | 0.15 | 0.08 | 0.09 | 0.15 |
| Total-run %CV | 7.7 | 2.9 | 2.5 | 8.4 | 3.8 | 2.7 |
{4}
b. Linearity/assay reportable range:
Results of the limit of quantitation and the linearity evaluations support the reportable range 0.3–10.0 ug/mL for this assay. This section describes linearity and spike/recovery studies. (Recovery and precision at the lower limit of the assay range are summarized in the Detection Limit section, below).
Linearity:
Linearity was evaluated by diluting “high pools” prepared from heart transplant patients and kidney transplant patients treated with MPA. The high pool was prepared to contain approximately 10 µg/mL MPA and was serially diluted with an MPA-negative sample to 8 concentration levels distributed evenly across the assay range. Samples were measured with the CEDIA assay in replicates (n=5). Measured concentrations were evaluated against expected concentrations. Expected concentrations were calculated from the measured value of the high sample and the dilution factor. The serially diluted samples recovered within 10% or 0.1 µg/mL. Results are tabulated below.
Heart Transplant Plasma Sample
| Sample | Expected (µg/mL) | Measured (µg/mL)) | % Recovery (Measured/Expected x 100%) | Difference (µg/mL) (Measured-Expected) |
| --- | --- | --- | --- | --- |
| Level 1 | -- | 9.8 | - | - |
| Level 2 | 7.4 | 7.4 | 100.0 | 0.0 |
| Level 3 | 4.9 | 4.9 | 100.0 | 0.0 |
| Level 4 | 3.4 | 3.3 | 97.1 | -0.1 |
| Level 5 | 2.5 | 2.3 | 92.0 | -0.2 |
| Level 6 | 1.0 | 0.9 | 90.0 | -0.1 |
| Level 7 | 0.5 | 0.4 | 80.0 | -0.1 |
| Level 8 | 0.0 | 0.0 | - | - |
| Regression equation: y=1.01x+0.08 | | | | |
Kidney Transplant Plasma Sample
| Sample | Expected (µg/mL) | Measured (µg/mL) | % Recovery (Measured/Expected x 100%) | Difference, (µg/mL) (Measured-Expected) |
| --- | --- | --- | --- | --- |
| Level 1 | 10.2 | 10.2 | - | - |
| Level 2 | 7.7 | 7.7 | 100.0 | 0.0 |
| Level 3 | 5.1 | 5.0 | 98.0 | -0.1 |
| Level 4 | 3.6 | 3.4 | 94.4 | -0.2 |
| Level 5 | 2.6 | 2.4 | 92.3 | -0.2 |
| Level 6 | 1.0 | 0.9 | 90.0 | -0.1 |
| Level 7 | 0.5 | 0.5 | 100.0 | 0.0 |
| Level 8 | 0.0 | 0.0 | - | - |
{5}
Regression equation:
Y = 1.01x - 0.09
The manufacturer recommends that samples with MPA concentrations greater than 10 ug/mL (the upper limit of the assay) may be diluted 1:1 with 0 calibrator and retested. To evaluate recovery with this procedure eight patient samples with concentrations above 10 (μg/mL) were tested by diluting 1:1 (sample to diluent) according to the manufacturers recommendations in the package insert. Recovery results in this evaluation ranged from 103-111%, relative to expected concentrations (based on reference method results).
## Spike Recovery:
To evaluate accuracy by recovery, a gravimetrically prepared MPA stock solution was spiked into both negative samples and patient samples already containing some MPA. Expected concentrations were calculated as the original MPA concentration (measured by CEDIA) plus the spiked MPA concentration (measured gravimetrically, independent of the CEDIA assay). Recoveries were within 10%, or 0.1 ug/mL. Results are summarized in the following tables.
MPA Negative Plasma Sample
| Expected (μg/mL) | Measured (μg/mL) | % Recovery (Measured/Expected x 100%) |
| --- | --- | --- |
| 0.0 | 0.0 | - |
| 0.5 | 0.5 | 100.0 |
| 1.0 | 0.9 | 90.0 |
| 2.5 | 2.5 | 100.0 |
| 3.5 | 3.2 | 91.4 |
| 7.0 | 6.5 | 92.9 |
Heart Transplant Plasma Sample
| Sample | Expected (μg/mL) | Measured (μg/mL) | % Recovery (Measured/Expected X 100%) | Difference (μg/mL) (Measured minus Expected conc.) |
| --- | --- | --- | --- | --- |
| Sample 1 | 0.5 | 0.5 | - | - |
| Sample 1 + 0.5 | 1.0 | 1.0 | 100.0 | 0.0 |
| Sample + 2.0 | 2.5 | 2.6 | 104.0 | 0.1 |
| Sample 2 | 2.4 | 2.4 | - | - |
| Sample 2 + 1.0 | 3.4 | 3.3 | 97.1 | -0.1 |
| Sample 2 + 4.5 | 6.9 | 6.8 | 98.6 | -0.1 |
{6}
7
Kidney Transplant Plasma Sample
| Sample | Expected (μg/mL) | Measured (μg/mL) | % Recovery (Measured/Expected X 100%) | Difference (μg/mL) (Measured minus Expected conc.) |
| --- | --- | --- | --- | --- |
| Sample 1 | 0.8 | 0.8 | - | - |
| Sample 1 + 0.5 | 1.3 | 1.2 | 92.3 | -0.1 |
| Sample + 2.0 | 2.8 | 2.6 | 92.9 | -0.2 |
| Sample 2 | 2.3 | 2.3 | - | - |
| Sample 2 + 1.0 | 3.3 | 3.2 | 97.0 | -0.1 |
| Sample 2 + 4.5 | 6.8 | 6.3 | 92.6 | -0.5 |
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Calibrators:
Calibrators are provided at 0 and 10 ug/mL. They are manufactured in a protein-based matrix of human plasma. The manufacturer's primary standards are traceable to commercially available MPA material prepared gravimetrically using MPA of greater than 99.5% purity. (No USP material is available). To assign values, lot calibrators are tested with the CEDIA MPA Assay across multiple instruments, using primary standards as calibrators. The manufacturer estimates the uncertainty in value assignment of lot calibrators relative to primary standards as 0.0 for the 0-level and 0.13 ug/mL for the 10 ug/mL level.
Controls:
The 3-level set of controls (1.0, 2.5, and 6.0 ug/mL) are manufactured in plasma-based matrix and spiked using a characterized MPA stock solution. Control ranges are assigned using multiple lots, instruments and operators. The labeling clarifies that the ranges are provided only as a guide and that laboratories should establish their own acceptable ranges.
Stability:
Expiration dating was established by real time stability studies for both unopened and reconstituted calibrators. For each time point (n=10), test calibrator was measured in replicates, using fresh, reconstituted reagent, and primary standards that had been stored at -80 degrees C. During testing, unopened calibrators were stored at 2-8 degrees C. No significant change in calibrator recovery was seen throughout the expiration dating period.
Opened vial testing was performed with fresh reconstituted calibrators stored at 2-8 degrees for the testing duration. Calibrator recovery at the end of expiration period was >99%.
Stability studies are ongoing.
{7}
# d. Detection limit:
Precision and accuracy of the assay near the low limits were evaluated. The study was carried out in 6 runs with 7 replicates per run over 28 days on 3 instruments for a total of 42 data points. Specimens from organ transplant patients receiving mycophenolic acid therapy were used. Individual patient plasma samples were combined to create pools with a gradient of MPA concentrations, values confirmed by LC-MS/MS. The samples were then dispensed as aliquots, stored at $-20^{\circ}\mathrm{C}$ , and a single aliquot was thawed for each immunoassay run. Inter-assay imprecision observed at the lower limit of the assay $(0.3\mu \mathrm{g} / \mathrm{mL})$ is $< 18\%$ , and calculated bias is $< 0.1$ at this concentration. Results are summarized in the following table.
| Expected Conc. (ug/mL) | 0.13 | 0.25 | 0.50 | 1.00 | 2.00 | 4.00 |
| --- | --- | --- | --- | --- | --- | --- |
| CEDIA n = | 42 | 42 | 42 | 42 | 42 | 42 |
| Mean (μg/mL) | 0.12 | 0.26 | 0.56 | 1.10 | 2.13 | 4.22 |
| Bias (ug/mL) | 0.01 | 0.01 | 0.06 | 0.1 (110%) | 0.13 (107%) | 0.22 (106%) |
| SD (μg/mL) | 0.05 | 0.05 | 0.07 | 0.07 | 0.11 | 0.10 |
| %CV | 43.0 | 17.6 | 12.5 | 6.7 | 5.2 | 2.3 |
# e. Analytical specificity:
# Metabolite cross-reactivity:
The cross-reactivity of the CEDIA MPA Assay with 7-O-Glucuronide MPA (MPAG) and Acyl Glucuronide MPA (AcMPAG) was evaluated. MPA metabolites were added into both MPA-negative plasma and plasma containing various concentrations of MPA (see below). Concentrations of metabolite were determined from gravimetric measurement. Purities were determined by HPLC and Mass Spectral analysis. The spiked samples were tested by the CEDIA MPA Assay in duplicate and cross reactivity was calculated using the formula: $\%$ Cross reactivity $=$ (Measured [MPA] - Expected [MPA]) / Spiked [Metabolite] x $100\%$
AcMPAG cross-reactivity observed from this evaluation ranged from 144 to $178\%$ . See table below. No cross reactivity $(< 0.1\%)$ was found to MPAG at concentrations as high as $50 - 1000~\mathrm{ug / mL}$ .
Metabolites
| Conc of AcMPAG in the sample | Conc. Of MPA (ug/mL) | Measured MPA (ug/mL) | Difference between measured and expected MPA (ug/mL) | Percent cross-reactivity |
| --- | --- | --- | --- | --- |
| 10.0 | 3.0 | 19.4 | 16.4 | 164.4 |
| 1.8 | 7.8 | 10.4 | 2.6 | 144.4 |
| 0.9 | 3.2 | 4.8 | 1.6 | 177.8 |
| 0.3 | 1.4 | 1.8 | 0.4 | 133.3 |
| 3.0 | 0.0 | 5.1 | 5.1 | 170.0 |
{8}
Cross Reactivity with Other Immunosuppressants:
Sirolimus, tacrolimus, and cyclosporine were tested for cross reactivity with the CEDIA MPA Assay. Samples were prepared by adding the other immunosuppressants at concentrations ranging up to 300 ng/mL (sirolimus and tacrolimus) and 1000 ng/mL (cyclosporine) into plasma containing MPA. Corresponding controls were prepared by adding the same volume of solvent that was in the stock solution of the compound. Samples were assayed in triplicate for MPA. No significant interference was observed. (Differences in MPA recovery between test and control samples were ≤ 0.1 ug/mL)
Cross Reactivity with Common Drugs:
Drugs that may be commonly used with mycophenolic acid were tested for cross reactivity with the CEDIA MPA Assay. Samples were prepared, by adding high concentrations of the drugs to MPA-negative plasma, as well as plasma containing 2.2 ug/mL MPA, and then tested in duplicate by CEDIA. Corresponding controls were prepared by adding the same volume of solvent that was in the stock solution of the compound. Bias between control samples and test samples were generally < 0.1 ug/mL, indicating no interference under these conditions. A small bias (0.25 ug/mL) was observed with high concentrations (50 ug/mL) of amphotericin B. A full list of the drugs tested is included in the package insert.
Interference by Endogenous Substances:
Potential interference effects by high levels of bilirubin (20 mg/dL), triglycerides (1600 mg/dL), uric Acid (233 mg/dL), and hemoglobin (1 g/dL) were evaluated. Compounds were added directly to MPA-negative plasma at target concentrations, as well as to samples containing MPA at concentrations of 1.0, 2.5, and 6.0 ug/mL MPA. Naturally occurring samples high in rheumatoid factor were also tested. Controls were prepared by adding the same volume of solvent that was used to make the stock solution of the compound being tested. Sample recoveries in this evaluation were all within +/- 10% and no trends were observed due to endogenous compounds.
Samples containing high concentrations of cholesterol (up to 400 mg/dL) and total protein (up to 11 mg/dL) from transplant patients receiving mycophenolic acid therapy were also evaluated. Recoveries relative to expected values were within +/-10%.
f. Assay cut-off:
Not applicable; this is a quantitative assay.
2. Comparison studies:
a. Method comparison with predicate device:
Leftover and unidentifiable clinical K2-EDTA plasma samples from heart and kidney transplant patients receiving either mycophenolate mofetil or mycophenolate sodium therapy were obtained from a clinical site. The samples were tested at external sites and the manufacturer's site with the CEDIA assay and with a reference method. (Information about the reference methods was included in the 510(k)). Samples were pre-dose
9
{9}
samples from adult patients. Co-administered drugs included tacrolimus (n= 153), and cyclosporine (n=34). A more positive bias was observed for the latter samples in this study, and this is illustrated in the graph in the package insert. Results of the regression analyses based on data obtained at the manufacturer's site, as well as an external site, are shown below:
## Analysis of data from the manufacturer's site:
| Transplant Type | Regression Type | Slope (95% CI range) | Intercept (95% CI Range) | Correlation (r-value) | N |
| --- | --- | --- | --- | --- | --- |
| Heart | Least | 1.114 (1.061 to 1.166) | 0.20 (0.05 to 0.36) | 0.9743 | 96 |
| | Deming | 1.147 (1.094 to 1.200) | 0.12 (-0.04 to 0.28) | | |
| Kidney | Least | 1.027 (0.974 to 1.080) | 0.16 (-0.03 to 0.36) | 0.9711 | 92 |
| | Deming | 1.060 (1.006 to 1.113) | 0.06 (-0.13 to 0.25) | | |
| Heart and Kidney | Least | 1.054 (1.015 to 1.092) | 0.22 (0.09 to 0.34) | 0.9698 | 188 |
| | Deming | 1.089 (1.051 to 1.128) | 0.12 (-0.01 to 0.25) | | |
## Analysis of data from an external site:
| Transplant | Regression | Slope (95% CI Range) | Intercept (95% CI Range) | Correlation | N |
| --- | --- | --- | --- | --- | --- |
| Heart | Least | 0.993 (0.924 to 1.062) | 0.39 (0.19 to 0.60) | 0.9472 | 96 |
| | Deming | 1.051 (0.982 to 1.121) | 0.25 (0.04 to 0.47) | | |
| Kidney | Least | 0.973 (0.921 to 1.025) | 0.14 (-0.05 to 0.33) | 0.9689 | 92 |
| | Deming | 1.005 (0.952 to 1.057) | 0.04 (-0.15 to 0.23) | | |
| Heart and Kidney | Least | 0.966 (0.922 to 1.010) | 0.32 (0.17 to 0.46) | 0.9540 | 188 |
| | Deming | 1.013 (0.968 to 1.057) | 0.18 (0.03 to 0.33) | | |
Method comparison of CEDIA assay at external site versus manufacturer's site:
| Transplant Type | Regression Type | Slope (95% CI Range) | Intercept (95% CI Range) | Correlation (r-value) | N |
| --- | --- | --- | --- | --- | --- |
| Heart and Kidney | Least Square | 0.976 (0.968 to 0.985) | -0.07 (-0.10 to -0.04) | 0.9982 | 188 |
| | Deming | 0.978 (0.970 to 0.987) | -0.08 (-0.11 to -0.05) | | |
Bias plots included in the package insert illustrate the comparison between the reference method and CEDIA for this patient population. The mean bias (y-x) = 0.37 ug/mL; SD = 0.47 ug/mL. (Mean bias +1.96 SD = 1.29 ug/mL; Mean bias -1.96 SD = -0.55 ug/mL).
{10}
# b. Matrix comparison:
A split sample matrix comparison study was conducted to compare $\mathrm{K}_2\mathrm{EDTA}$ samples, used in the method comparison study, to $\mathrm{Na}_2\mathrm{EDTA}$ , Na Heparin, Li Heparin, and $\mathrm{NH}_4$ Heparin. Twenty-one samples across the assay range were prepared by spiking MPA into each of paired matrix samples. The results of samples prepared in the evaluating matrix were compared to those in $\mathrm{K}_2\mathrm{EDTA}$ plasma by determining the slope, intercept and correlation coefficient, as well as recoveries relative to $\mathrm{K}_2\mathrm{EDTA}$ samples.
| Method Comparison | Method | N | Conc. Range | Slope (Deming's) | Intercept | R |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | X: K2EDTA | 21 | 0.6-9.6 | 0.983 | -0.02 | 0.9947 |
| | Y: Na2EDTA | | | | | |
| 3 | X: K2EDTA | 21 | 0.5-9.7 | 0.981 | 0.07 | 0.9982 |
| | Y: Na Heparin | | | | | |
| 4 | X: K2EDTA | 21 | 0.5-9.9 | 1.017 | 0.00 | 0.9971 |
| | Y: Li Heparin | | | | | |
| 5 | X: K2EDTA | 21 | 0.4-8.2 | 0.992 | 0.00 | 0.9977 |
| | Y: NH4Heparin | | | | | |
Recoveries at each concentration were within $+ / - 10\%$ or $+ / - 0.2~\mathrm{ug / dL}$
# 3. Clinical studies:
Clinical studies are not typically called for with this type of assay.
a. Clinical Sensitivity:
Not applicable.
b. Clinical specificity:
Not applicable.
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable.
# 4. Clinical cut-off:
See Expected Values, below.
5. Expected values/Reference range: The following is included in the package insert:
{11}
The optimal therapeutic range for MPA in plasma has not been fully established. In addition, optimal patient MPA concentration ranges may vary depending on the specific assay and its metabolite cross-reactivities, (See cross-reactivity section, for observed cross-reactivities with this assay). Therefore, optimal ranges should be established for each commercial test and values obtained with different assay methods cannot be used interchangeably, nor should correction factors be applied. Laboratories should include identification of the assay used on patient reports in order to aid in interpretation of results.
Optimal ranges depend upon transplant type and co-administered drugs, as well as the patient's clinical state, individual differences in sensitivity to immunosuppressive and toxic effects of MPA, time post-transplant and a number of other factors. Individual MPA values cannot be used as the sole indicator for making changes in treatment regimen and each patient should be thoroughly evaluated clinically before changes in treatment regimens are made. Each institution should establish the optimal ranges based on the specific assay used and other factors relevant to its patient population.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports substantial equivalence decision.
12
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.