The sponsor performed a method comparison study using 260 clinical samples from patients with Graves' disease and other thyroid conditions to demonstrate substantial equivalence between the modified device and the predicate.
Patients diagnosed with Graves' disease (n=198) and other thyroid issues (n=62); Sample Size: 260
Elecsys Anti-TSHR immunoassay (K080092)
Passing-Bablok regression analysis and qualitative agreement (positive/negative percent agreement)
Indications for Use
Immunoassay for the in vitro quantitative determination of autoantibodies to thyroid stimulating hormone (TSH) receptor in human serum using a human thyroid stimulating monoclonal antibody. The anti-TSH receptor determination is used in the assessment of patients suspected of Graves' disease (autoimmune hyperthyroidism). The electrochemiluminescence immunoassay “ECLIA” is intended for use on cobas e 601 immunoassay analyzers.
Device Story
Elecsys Anti-TSHR is an in vitro diagnostic immunoassay for quantitative detection of TSH receptor autoantibodies in human serum. Used on cobas e 601 analyzers; utilizes electrochemiluminescence immunoassay (ECLIA) technology. Principle: competitive immunoassay; sample incubated with pretreatment reagents, then streptavidin-coated microparticles and ruthenium-labeled monoclonal anti-TSHR antibody (M22). Analyzer measures light emission; signal inversely proportional to analyte concentration. Operated by laboratory professionals in clinical settings. Output provides quantitative IU/L values to clinicians for assessment of suspected Graves' disease. Benefits include standardized, automated diagnostic support for autoimmune hyperthyroidism.
Clinical Evidence
Bench testing only. Precision evaluated over 21 days (CV 0.8-9.1%). Analytical sensitivity: LoB 0.5 IU/L, LoD 0.8 IU/L, LoQ 1.1 IU/L. Linearity confirmed 0.8-40.0 IU/L. Interference testing confirmed robustness against hemolysis, bilirubin, lipemia, biotin, and RF. Method comparison (n=260) against predicate showed 97.37% PPA and 95.37% NPA; Passing/Bablok regression (n=120) yielded slope 1.047 and r=0.998.
Technological Characteristics
Quantitative competitive ECLIA. Reagents: streptavidin-coated magnetic microparticles, ruthenium-labeled M22 monoclonal antibody, biotinylated porcine TSHR-antibody complex, and biotin-binding scavenger antibody. Instrument: cobas e 601. Measuring range: 0.8–40.0 IU/L. Standardization: NIBSC 1st IS 90/672. Connectivity: automated analyzer. Sterilization: N/A (reagent kit).
Indications for Use
Indicated for the in vitro quantitative determination of autoantibodies to TSH receptor in human serum to assess patients suspected of Graves' disease (autoimmune hyperthyroidism).
Regulatory Classification
Identification
A thyroid autoantibody immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the thyroid autoantibodies (antibodies produced against the body's own tissues). Measurement of thyroid autoantibodies may aid in the diagnosis of certain thyroid disorders, such as Hashimoto's disease (chronic lymphocytic thyroiditis), nontoxic goiter (enlargement of thyroid gland), Grave's disease (enlargement of the thyroid gland with protrusion of the eyeballs), and cancer of the thyroid.
{0}
FDA
U.S. FOOD & DRUG
ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY ONLY
## I Background Information:
A 510(k) Number
K193313
B Applicant
Roche Diagnostics
C Proprietary and Established Names
Elecsys Anti-TSHR
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| JZO | Class II | 21 CFR 866.5870 - Thyroid autoantibody immunological test system | IM - Immunology |
## II Submission/Device Overview:
A Purpose for Submission:
Modification to the predicate
B Measurand:
IgG autoantibodies specific for the thyroid stimulating hormone receptor (TSHR)
C Type of Test:
Quantitative electrochemiluminescence immunoassay
## III Intended Use/Indications for Use:
A Intended Use(s):
See Indications for Use below.
B Indication(s) for Use:
Immunoassay for the in vitro quantitative determination of autoantibodies to thyroid stimulating hormone (TSH) receptor in human serum using a human thyroid stimulating monoclonal antibody. The anti-TSH receptor determination is used in the assessment of patients suspected of Graves' disease (autoimmune hyperthyroidism).
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
{1}
The electrochemiluminescence immunoassay “ECLIA” is intended for use on cobas e 601 immunoassay analyzers.
## C Special Conditions for Use Statement(s):
For Prescription Use Only
## D Special Instrument Requirements:
Roche cobas e 601
## IV Device/System Characteristics:
### A Device Description:
The Elecsys Anti-TSHR reagent kit consists of a Reagent Pack (R1, R2, and Microparticles), lyophilized calibrators 1 and 2, and a Pretreatment Pack (PT1, PT2, PTR, PTB).
The Reagent Pack’s components are:
- M: Streptavidin-coated microparticles (transparent cap), Streptavidin-coated microparticles (0.72 mg/mL) and preservative in a 6.5 mL-bottle.
- R1: Buffer solution (gray cap), containing 20 mmol/L phosphate buffer (pH 7.4); stabilizers; and preservative in a 7 mL-bottle.
- R2: Anti TSHR~Ru(bpy) (black cap), Monoclonal anti-TSHR antibody M22 (human) labeled with ruthenium complex (approximately 0.3 mg/L) in 20 mmol/L phosphate buffer (pH 7.4); stabilizers, and preservative in a 7 mL-bottle.
The Pretreatment Pack’s components are:
- PT1: Pretreatment buffer solution (black cap), 20 mmol/L phosphate buffer (pH 7.4); stabilizers, and preservative in a 4 mL-bottle.
- PT2: Empty bottle (white cap) for pretreatment reagent (PTR) reconstituted with pretreatment buffer (PTB).
- PTR: Pretreatment reagent (white cap): lyophilized porcine TSHR-anti-pTSHR-Ab~biotin complex; 40 mmol/L phosphate buffer (pH 7.2); and stabilizers in a 4 mL-bottle.
- PTB: Pretreatment buffer (white cap), reconstitution medium for PTR containing phosphate buffer 10 mmol/L (pH 7.2) and stabilizer in 5 mL-bottle.
The reformulated reagents are designed to block the interference of free biotin with the anti-TSHR assay and to improve the binding between the conjugate and the streptavidin-coated magnetic microparticles. A biotin-binding scavenger antibody was added to the assay to bind free biotin in the sample. The antibodies are specific only to free biotin and do not bind to, or interact with, the biotin-linker conjugates. The biotinylated antibody conjugate was modified by changing the chemical spacer between the biotin molecule and the detection antibody. Lengthening the distance between the biotin and the immunological component is designed to improve binding of the conjugate to the streptavidin-coated magnetic bead. No change was made to the capture and detection antibodies which still recognize the same epitope.
K193313 - Page 2 of 10
{2}
K193313 - Page 3 of 10
# B Principle of Operation:
The Elecsys Anti-TSHR immunoassay is a three-step competitive immunoassay with streptavidin-coated microparticles and electrochemiluminescence detection. Patient serum sample is incubated with pretreatment reagent PT1 and the reconstituted PT2 containing a pre-formed immunocomplex of solubilized porcine TSH receptor (pTSHR) and biotinylated anti-pTSHR mouse monoclonal antibody. Anti-TSHR antibodies (TRAb) in patient's sera interact with the TSHR immunocomplex. After addition of streptavidin-coated microparticles and a human thyroid stimulating monoclonal autoantibody (M22) labeled with a ruthenium complex, bound TRAb are detected by their ability to inhibit the binding of labeled M22. The entire complex becomes bound to the solid phase via interaction of biotin and streptavidin. The reaction mixture is aspirated into the measuring cell where the microparticles are magnetically captured onto the surface of the electrode. Unbound substances are then removed with ProCell/ProCell M. Application of a voltage to the electrode then induces chemiluminescent emission which is measured by a photomultiplier.
Results are determined using a calibration curve that is generated specifically on each instrument by a two-point calibration and master curve provided with the reagent bar code. Test values of $\leq 1.75$ IU/L are negative while test values $>1.75$ IU/L are positive.
# V Substantial Equivalence Information:
## A Predicate Device Name(s):
Elecsys Anti-TSHR Immunoassay
## B Predicate 510(k) Number(s):
K080092
## C Comparison with Predicate(s):
| Device & Predicate Device(s): | Device K193313 | Predicate K080092 |
| --- | --- | --- |
| Device Trade Name | Elecsys Anti-TSHR | Elecsys Anti-TSHR Immunoassay |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | Immunoassay for the in vitro quantitative determination of autoantibodies to thyroid stimulating hormone (TSH) receptor in human serum using a human thyroid stimulating monoclonal antibody. The anti-TSH receptor determination is used in the assessment of patients with | Elecsys Anti-TSHR Immunoassay is an immunoassay for the in vitro quantitative determination of autoantibodies to TSH receptor in human serum using a human thyroid stimulating monoclonal antibody. The anti-TSH receptor determination is used in the assessment of patients with |
{3}
| Device & Predicate Device(s): | Device K193313 | Predicate K080092 |
| --- | --- | --- |
| Device Trade Name | Elecsys Anti-TSHR | Elecsys Anti-TSHR Immunoassay |
| | suspected of Graves' disease (autoimmune hyperthyroidism). The electrochemiluminescence immunoassay “ECLIA” is intended for use on cobas e 601 immunoassay analyzers. | suspect Graves’ disease (autoimmune hyperthyroidism). The electrochemiluminescence immunoassay “ECLIA” is intended for use on Elecsys and cobas e immunoassay analyzers. |
| Assay Method | Electrochemiluminescence (ECLIA) | Same |
| Assay Type | Competitive | Same |
| Assay Protocol | Sample+PT1+PT2, incubation, +R1, incubation, +beads+R2, incubation | Same |
| Sample Type | Serum | Same |
| Traceability/Standardization | NIBSC 1st IS 90/672 Standard | Same |
| Cut-off | 1.75 IU/L | Same |
| Measuring Range | 0.8–40.0 IU/L | Same |
| Calibrators | 2 calibrators against the master curve for that reagent lot | Same |
| General Device Characteristic Differences | Device K193313 | Predicate K080092 |
| Instrument Platform | cobas e 601 analyzer | Roche automated clinical chemistry analyzers |
| Biotin Tolerance | Up to 600 ng/mL | Up to 10 ng/mL |
| Biotinylated antibody | MAK<TSHR>M-4E31-IgG-Bi (PEG** mono) | MAK<TSHR>M-4E31-IgG-Bi (DDS* mono) |
| Buffer 2 | Phosphate buffer 20 mmol/L | Same |
| | Anti-Biotin Antibody; specific for free, unconjugated biotin (“scavenger antibody”) | Not applicable |
VI Standards/Guidance Documents Referenced:
EP05-A3, Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline, Third Edition
EP6-A, Evaluation of Linearity of Quantitative Measurement, Approved Guideline, Second Edition
K193313 - Page 4 of 10
{4}
EP07-A2, Interference Testing in Clinical Chemistry, Approved Guideline, Second Edition
EP17-A2, Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline, Second Edition
## VII Performance Characteristics (if/when applicable):
### A Analytical Performance:
#### 1. Precision/Reproducibility:
The precision of the Elecsys Anti-TSHR assay was evaluated on one cobas e 601 immunoassay analyzer with one reagent lot. Human sera and two PreciControl ThyroAB levels were tested with two replicates per run, two runs per day for 21 days (n = 84 per sample). The samples were run in randomized order on the analyzer. The human serum samples used were native human serum pools (human serum 1–4) and spiked human serum (human serum 5). Calculations were performed according to EP05-A3.
| | | Repeatability | | Between Run | | Between Day | | Within Laboratory | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean (IU/L) | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| Sera 1 | 1.41 | 0.10 | 7.5 | 0 | 0 | 0.08 | 5.3 | 0.13 | 9.1 |
| Sera 2 | 1.87 | 0.14 | 7.5 | 0 | 0 | 0.08 | 4.2 | 0.16 | 8.6 |
| Sera 3 | 1.99 | 0.11 | 5.7 | 0 | 0 | 0.09 | 4.3 | 0.14 | 7.2 |
| Sera 4 | 22.70 | 0.25 | 1.1 | 0.18 | 0.8 | 0.16 | 0.7 | 0.35 | 1.5 |
| Sera 5 | 37.50 | 0.30 | 0.8 | 0.16 | 0.4 | 0.38 | 1.0 | 0.50 | 1.3 |
| Control 1 | 4.42 | 0.14 | 3.3 | 0.04 | 0.9 | 0.09 | 2.1 | 0.18 | 4.0 |
| Control 2 | 18.10 | 0.34 | 1.9 | 0.18 | 1.0 | 0.10 | 0.5 | 0.40 | 2.2 |
The reproducibility of the Elecsys Anti-TSHR assay was evaluated on one cobas e 601 immunoassay analyzer with three reagent lots and the five human serum samples described above. The protocol consisted of testing two replicates of each sample per run, two runs per day, for seven days (n=28 replicates per lot, n=84 replicates per sample). Calculations were performed according to EP05-A3.
| | | Repeatability | | Between Run | | Between Day | | Between Lot | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Sample | Mean (IU/L) | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| Sera 1 | 1.38 | 0.01 | 6.9 | 0.03 | 2.3 | 0.9 | 6.5 | 0.07 | 4.7 | 0.15 | 10.9 |
| Sera 2 | 1.90 | 0.12 | 6.3 | 0.03 | 1.8 | 0.05 | 2.8 | 0.07 | 3.4 | 0.15 | 7.9 |
| Sera 3 | 1.99 | 0.10 | 5.0 | 0.02 | 1.0 | 0.10 | 4.9 | 0.06 | 3.0 | 0.15 | 7.7 |
| Sera 4 | 23.0 | 0.28 | 1.2 | 0.22 | 0.9 | 0.05 | 0.2 | 0.21 | 0.9 | 0.41 | 1.8 |
| Sera 5 | 37.8 | 0.29 | 0.8 | 0.06 | 0.2 | 0.26 | 0.7 | 0.33 | 0.9 | 0.51 | 1.4 |
#### 2. Linearity:
Linearity of the Elecsys anti-TSHR assay was assessed on the cobas e 601 analyzer according to CLSI EP06-A. Three high analyte human serum sample pools were diluted with anti-TSHR free serum and concentrations covering the measuring range were measured. Sample dilutions were assayed in triplicate within a single run.
K193313 - Page 5 of 10
{5}
| Sample | Dilution Range (IU/L) | Regression Equation | Slope (95% CI) | Intercept (95% CI) | R² |
| --- | --- | --- | --- | --- | --- |
| 1 | 0.79–43.4 | y=1.000x-0.005 | 0.958–1.042 | -0.019–0.176 | 0.983 |
| 2 | 0.77–42.8 | y=0.997x+0.051 | 0.957–1.037 | -0.117–0.220 | 0.984 |
| 3 | 0.71–44.9 | y=0.993x-0.126 | 0.947–1.039 | 0.073–0.179 | 0.979 |
3. Analytical Specificity/Interference:
**Endogenous Interference:**
The interference study was performed according to CLSI EP07-A2. Three specimens were tested (around the cut-off, a moderate positive, and a high positive) for each compound tested. One aliquot of each serum sample was spiked with the interfering substance, another aliquot was spiked with the same volume of isotonic NaCl solution to create a dilution pool. The interferent pool was then diluted into the dilution pool in 10 % increments. The recovery for each sample was calculated by comparison to the reference (unspiked) sample. No interference was observed at these concentrations: hemoglobin at ≤400 mg/dL; bilirubin at ≤25 mg/dL; Intralipid at ≤1500 mg/dL; and Rheumatoid Factor at ≤600 IU/mL.
**Exogenous Interference:**
The effect on quantitation of TSH in the presence of drugs was determined by comparing values obtained from samples spiked with 17 commonly and 13 specialty pharmaceutical compounds with the reference sample (unspiked). The drug concentrations tested correspond at least to the three times maximum daily doses (or the one-time maximum daily dose, respectively). Drug interferences are measured based on recommendations given in CLSI guidelines EP7-ED3 and EP37-ED1 and other published literature.
Two human serum samples (native serum pools) with analyte concentration approximately 3 and 30 IU/L were divided into aliquots and spiked with the potential interferences. The reference sample, without interferent, was spiked with the respective amount of solvent only and tested on the cobas e 601.
Each of the 17 commonly used drugs was found to be non-interfering at the listed concentration: Acetaminophen at 156 mg/L; N-Acetylcysteine at 553 mg/L; Acetylsalicylic Acid at 1000 mg/L; Ampicillin-Na at 1000 mg/L; Ascorbic acid at 300 mg/L; Cefoxitin at 2500 mg/L; Cyclosporine at 1.8 mg/L; Doxycycline at 50 mg/L; Sodium Heparin at 50 IU/L; Ibuprofen at 500 mg/L; Itraconazole at 30 mg/L; Levodopa at 20 mg/L; Methyldopa +1,5 at 22.5 mg/L; Metronidazole at 200 mg/L; Phenylbutazone at 321 mg/L; Rifampicin at 60 mg/L; and Theophylline at 60 mg/L.
Sodium Heparin was found to interfere at concentrations >50 IU/L. A limitation stating: “Do not use samples from patients under sodium heparin treatment. Sodium heparin showed no interference up to a concentration of 50 IU/L.” was added to the package insert.
Each of the 13 specialty drugs was found to be non-interfering at the listed concentration: Amiodarone at 200 mg/L; Carbimazole at 30 mg/L; Fluocortolone at 20 mg/L; Hydrocortisone at 200 mg/L; Iodide at 0.040 mg/L; Levothyroxine at 0.250 mg/L; Liothyronine at 0.015 mg/L; Thiamazole at 16 mg/L; Octreotide at 0.300 mg/L; Perchlorate at 400 mg/L; Prednisolone at 20 mg/L; Propranolol at 240 mg/L; and Propylthiouracil at 60 mg/L.
K193313 - Page 6 of 10
{6}
# Biotin Interference:
Three human serum samples were spiked with a range of biotin concentrations and tested with the Elecsys anti-TSHR assay on the cobas e 601 analyzer.
| % Bias for samples containing various concentrations of Biotin | | | | | |
| --- | --- | --- | --- | --- | --- |
| Unspiked Sample Conc (IU/L) | Biotin concentrations (ng/mL) | | | | |
| | 150 | 225 | 300 | 375 | 450 |
| 1.68 | -1.6 | -0.2 | -2.9 | 6.7 | -4.5 |
| 11.2 | 1.0 | -2.8 | -0.6 | -1.8 | 0.1 |
| 32.2 | 2.0 | 2.0 | 2.1 | 3.2 | 4.0 |
| % Bias for samples containing various concentrations of Biotin | | | | |
| --- | --- | --- | --- | --- |
| Unspiked Sample Conc (IU/L) | Biotin concentrations (ng/mL) | | | |
| | 525 | 600 | 675 | 1200 |
| 1.68 | -3.1 | 5.4 | 12.4 | 71.9 |
| 11.2 | 2.1 | 3.3 | 5.2 | 24.2 |
| 32.2 | 5.7 | 5.6 | 5.1 | 15.8 |
Based on this study, the sponsor claims that biotin does not affect the anti-TSHR assay $\leq 600$ ng/mL.
# Cross-reacting Substances:
The effect on quantitation of analyte in the presence of potential cross-reacting compounds using the Elecsys anti-TSHR was determined on the cobas e 601 analytical unit using a native human serum sample pool. For each potential cross-reacting compound a human serum sample with a low concentration level and an elevated level of anti-TSHR was tested. Results from these spiked serum samples were matched against the unspiked references and the $\%$ cross-reactivity was calculated. Less than $1\%$ cross reactivity was observed for these potential cross-reactants and the concentration tested: anti-thyroglobulin (TG) antibodies at 4,000,000 IU/L; anti-thyroid peroxidase (TPO) at 600,000 IU/L; luteinizing hormone (LH) at 10,000 IU/L; and follicle stimulating hormone (FSH) at 10,000 IU/L.
# 4. Assay Reportable Range:
See K080092. The assay's reportable range is 0.8–40 IU/L (defined by the Limit of Detection and the maximum of the master curve). Because the $\% \mathrm{CV}$ of low concentration samples is high, values below the LoQ should be reported with caution. The package insert states: "Please note: When reporting values $< 1.1$ IU/L, the client report should be annotated with the following information. "Values $< 1.1$ IU/L are not reliable as the intermediate precision CV is $>20\%$ ."
# 5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
This assay is standardized against NIBSC 1st IS 90/672 Standard.
K193313 - Page 7 of 10
{7}
Stability:
Shelf life stability: Accelerated stability testing comparing the current and the updated (biotin) assay reagent supports the transfer of the shelf-life claim of 18 months to the updated anti-TSHR assay. Real-time stability testing is ongoing for the updated Elecsys Anti-TSHR, supporting a shelf-life of 15 months at this time for unopened reagents and pretreatment kit components stored at 2–8°C.
On-board Reagent Stability: An isochronous study compared unstressed (refrigerated at 2–8°C) to stressed (20–25°C) reagents and pretreatment components. The study supported the claim that the reagents can be stored on board for 3 weeks. The study also supported the claim that: the pretreatment components can be stored for 72 hours if continuously stored onboard; or for 3 weeks total for up to 7 uses for 8 hours total on the analyzer (20–25°C) and stored in the refrigerator (2–8°C) when not in use. The sponsor recommends that the pretreatment bottles (PT2 containing the reconstituted PTR) be stored in the refrigerator when not in use (at 2–8°C).
6. Detection Limit:
The limit of blank and limit of detection were determined in accordance with CLSI EP17-A2.
The Limit of Blank (LoB) is the 95th percentile value from 60 measurements of analyte-free samples over several independent series. The limit of blank corresponds to the concentration below which analyte-free samples are found with a probability of 95%. The LoB of each assay was determined by assaying five analyte-free samples in duplicate per sample over six days for each lot. A total of 60 data points per sample per lot; three lots were tested. The LoB for each lot was calculated separately. The LoB was determined as 0.5 IU/mL.
The Limit of Detection (LoD) is determined based on the limit of blank and the standard deviation of low concentration samples. The limit of detection corresponds to the lowest analyte concentration which can be detected (value above the limit of blank with a probability of 95%). The LoD of each assay was determined by assaying five low analyte samples in duplicate per sample over six days for each lot. A total of 60 data points per lot were generated and three lots were tested. The LoD for each lot was calculated separately. The LoD was determined as 0.8 IU/mL.
The Limit of Quantitation (LoQ) was defined as the lowest analyte concentration which can be quantified with a total error of ≤ 20%. The LoQ was determined by assaying nine low concentration anti-TSHR native samples tested in replicates of five, one run per day, for five days (25 replicates per sample) on three reagent lots. The LoQ was calculated by determining the lowest analyte concentration that resulted in a total within laboratory CV < 20%. The LoQ was 1.1 IU/mL.
Because the %CV of low concentration samples is high, values below the LoQ should be reported with caution. The package insert states: "Please note: When reporting values <1.1 IU/L, the client report should be annotated with the following information. "Values <1.1 IU/L are not reliable as the intermediate precision CV is >20%."
7. Assay Cut-Off:
See K080092. Test values of ≤1.75 IU/L are negative while test values >1.75 IU/L are positive.
K193313 - Page 8 of 10
{8}
K193313 - Page 9 of 10
# B Comparison Studies:
1. Method Comparison with Predicate Device:
The sponsor conducted a method comparison of the Elecsys Anti-TSHR updated assay (candidate device) and the current Elecsys Anti-TSHR immunoassay (predicate device K080092). A total of 260 clinical samples from the intended use population were measured with both assays in singleton on the cobas e 601 analyzer covering the entire measuring range. The tested group was 198 samples from patients diagnosed with Graves' disease and 62 samples from patients diagnosed with other thyroid issues (e.g., Hashimoto's disease, non-toxic goiter, thyroid carcinoma, etc.). Separate quantitative and qualitative analyses of the data set were performed:
Because the assay is quantitative, a Passing-Bablok regression analysis of 120 samples within the measuring range was performed. The samples were tested once with both assays.
| Parameter | Result |
| --- | --- |
| Range (IU/L) | 0.800–35.7 IU/L (Predicate Assay, X)
0.917–40.0 IU/L (Candidate Assay, Y) |
| Slope
(95^{th} CI) | 1.047
(1.029–1.064) |
| Intercept
(95^{th} CI) | -0.068
(-0.188–0.032) |
| Correlation Coefficient | 0.998 |
| Absolute Bias at 1.75 IU/L
(95^{th} CI) | 0.014
(-0.085–0.095) |
| Percent Bias at 1.75 IU/L | 0.80 |
The agreement between the assays was calculated using the results of all samples tested in the study (n=260):
| | Predicate Assay | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| Candidate Assay | Positive | 148 | 5 | 153 |
| | Negative | 4 | 103 | 107 |
| | Total | 152 | 108 | 260 |
Positive percent agreement: 97.37% (148/152) 95% CI: 93.43%–98.97%
Negative percent agreement: 95.37% (103/108) 95% CI: 89.62%–98.01%
2. Matrix Comparison:
A matrix comparison is not needed because serum is the only matrix indicated.
{9}
C Clinical Studies:
1. Clinical Sensitivity: See K080092
2. Clinical Specificity: See K080092
3. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable): Not applicable
D Clinical Cut-Off: See K080092
E Expected Values/Reference Range: See K080092
VIII Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
IX Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
K193313 - Page 10 of 10
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.