The KRONUS Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit is for the qualitative determination of antibodies to steroid 21-hydroxylase (21-OH) in human serum. The Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit is useful as an aid in the diagnosis of autoimmune adrenal disease, whether expressed as autoimmune Addison's disease (isolated) or Addison's disease as part of the more complex autoimmune polyglandular syndrome (APS), type I or II. The assay result is to be used in conjunction with other clinical and laboratory findings and is not a substitute for functional testing required to diagnose adrenal insufficiency.
Device Story
Manual ELISA kit; detects steroid 21-hydroxylase autoantibodies in human serum. Principle: divalent autoantibodies bridge 21-OH coated on microtiter plate wells and liquid-phase 21-OH-biotin; detected via streptavidin-peroxidase and TMB chromogenic substrate. Output: absorbance measured at 450 nm; index value calculated relative to reference preparation. Used in clinical laboratories by trained personnel. Results aid diagnosis of autoimmune adrenal disease; must be used with other clinical/laboratory findings; not a substitute for functional adrenal testing.
Clinical Evidence
Clinical validation performed on 399 patient serum samples (108 with autoimmune adrenal disease, 291 with other autoimmune/non-infectious conditions). Clinical sensitivity: 87.0% (94/108; 95% CI: 79.4%–92.2%). Clinical specificity: 99.3% (289/291; 95% CI: 97.5%–99.8%). Method comparison with RIA predicate (N=254) showed 98.9% positive percent agreement and 96.9% negative percent agreement.
Technological Characteristics
Manual ELISA; 96-well microtiter plate coated with recombinant human 21-OH. Energy source: external plate reader (450 nm). Materials: recombinant 21-OH, biotinylated 21-OH, streptavidin-peroxidase, TMB substrate, H2SO4 stop solution. Qualitative assay; index-based interpretation. No connectivity; standalone manual test.
Indications for Use
Indicated for qualitative detection of steroid 21-hydroxylase autoantibodies in human serum to aid in diagnosis of autoimmune adrenal disease (isolated Addison's disease or APS type I/II). For prescription use only.
Regulatory Classification
Identification
A multiple autoantibodies immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the autoantibodies (antibodies produced against the body's own tissues) in serum and other body fluids. Measurement of multiple autoantibodies aids in the diagnosis of autoimmune disorders (disease produced when the body's own tissues are injured by autoantibodies).
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K180607
B. Purpose for Submission:
New device
C. Measurand:
Steroid 21-Hydroxylase Antibody (21-OHAb)
D. Type of Test:
Manual enzyme-linked immunosorbent assay, qualitative
E. Applicant:
KRONUS Market Development Associates, INC.
F. Proprietary and Established Names:
KRONUS Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit
G. Regulatory Information:
1. Regulation section:
21 CFR § 866.5660, Multiple autoantibody immunological test system
2. Classification:
Class II
3. Product code:
PCG, 21-Hydroxylase Antibody (21-OHAb) antibody assay
4. Panel:
Immunology (82)
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H. Intended Use:
1. Intended use:
The KRONUS Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit is for the qualitative determination of antibodies to steroid 21-hydroxylase (21-OH) in human serum. The Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit is useful as an aid in the diagnosis of autoimmune adrenal disease, whether expressed as autoimmune Addison's disease (isolated) or Addison's disease as part of the more complex autoimmune polyglandular syndrome (APS), type I or II. The assay result is to be used in conjunction with other clinical and laboratory findings and is not a substitute for functional testing required to diagnose adrenal insufficiency.
2. Indication for use:
Same as intended use
3. Special conditions for use statement:
For prescription use only.
4. Special instrument requirements:
Microtiter plate reader capable of measuring a 96 well plate at 405 nm
I. Device Description:
The KRONUS Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit consists of the following components:
1. Recombinant human 21-OHAb-coated ELISA strip wells, 96 wells in total and supplied as 12 strips of eight wells in a frame and sealed in a foil pouch with desiccant
2. Reference Preparation, 1 x 0.7 mL (ready to use)
3. Kit Negative Control, 1 x 0.7 mL (ready to use)
4. Kit Positive Control 1 and 2 (see label for ranges), 2 x 0.7 mL (ready to use)
5. 21-OH Reaction Enhancer (colored red), 1 x 6 mL (ready to use)
6. 21-OH Biotin (lyophilized), 3 x 5.5 mL (reconstitute immediately prior to use)
7. 21-OH Biotin Reconstitution Buffer, 2 x 10 mL (ready to use)
8. Streptavidin Peroxidase (SA-POD), 1 x 0.7 mL (dilute SA-POD 1:20 before use)
9. Streptavidin-Peroxidase Diluent, 1 x 15 mL (ready to use)
10. Tetramethylbenzidine Peroxidase Substrate (TMB), 1 x 15 mL (ready to use)
11. Stop solution (contains 0.25M H₂SO₄), 1 x 12 mL (ready-to-use)
12. Concentrated Wash Solution 1 x 125 mL (dilute 1:10 with deionized water before use)
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J. Substantial Equivalence Information:
1. Predicate device name and 510(k) number:
KRONUS 21-OHAb RIA Assay Kit (K121046)
2. Comparison with predicate(s):
| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device
KRONUS 21-OHAb ELISA Kit | Predicate Device
KRONUS 21-OHAb RIA Assay Kit |
| Intended Use | The KRONUS Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit is for the qualitative determination of antibodies to steroid 21-hydroxylase (21-OH) in human serum. The Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit is useful as an aid in the diagnosis of autoimmune adrenal disease, whether expressed as autoimmune Addison's disease (isolated) or Addison's disease as part of the more complex autoimmune polyglandular syndrome (APS), type I or II. The assay result is to be used in conjunction with other clinical and laboratory findings and is not a substitute for functional testing required to diagnose adrenal insufficiency. | Same |
| Analyte | Steroid 21-Hydroxylase autoantibodies | Same |
| Sample Matrix | Serum | Same |
| Incubation time | Overnight (16–20 hours) | Same |
| Differences | | |
| --- | --- | --- |
| Item | Candidate Device
KRONUS 21-OHAb ELISA Kit | Predicate Device
KRONUS 21-OHAb RIA Assay Kit |
| Methodology | Autoantibodies to 21-OH bind to 21-OH -biotin, are detected by a colorimetric reaction with streptavidin-peroxidase and | Autoantibodies to 21-OH react with I^{125}-labeled 21-OH tracer, are precipitated with Protein A, and read off a |
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| Differences | | |
| --- | --- | --- |
| Item | Candidate Device
KRONUS 21-OHAb ELISA Kit | Predicate Device
KRONUS 21-OHAb RIA
Assay Kit |
| | tetramethyl benzidine and read off a reference preparation | calibration curve |
| Method/Principle | Enzyme-linked immunosorbent assay (ELISA) | Radioimmunoassay (RIA) |
| Assay format | Qualitative | Semi-quantitative |
| Detection Equipment | Plate Reader | Gamma counter |
| Cut-off | Positive: ≥ 45
Negative: < 45 | Positive: > 1 U/mL
Negative: ≤ 1 U/mL |
K. Standard/Guidance Document Referenced (if applicable):
- CLSI guideline EP12-A2, User Protocol for Evaluation of Qualitative Test Performance; Approved Guideline–Second Edition
- CLSI guideline EP07-A2, Interference Testing in Clinical Chemistry - Second Edition
- CLSI guideline C28-A3c, Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline- Third Edition
L. Test Principle:
The KRONUS Steroid 21-Hydroxylase Autoantibody (21-OHAb) ELISA Kit depends on the divalent properties of the Steroid 21-Hydroxylase autoantibodies (21-OHAb) to form a bridge between 21-OH coated on ELISA plate wells and liquid phase 21-OH-biotin. The level of bound 21-OHAb is then quantitated by the sequential addition of streptavidin peroxidase (SA-POD) and tetramethylbenzidine (TMB; a chromogenic substrate) to produce a colorogenic reaction. Stop solution is added to halt the reaction and absorbance is read using an ELISA plate reader with absorbance at 450 nm. The absorbance of each specimen is compared to the reference preparation, allowing for an index value to be calculated from the mean value of duplicate wells as follows:
$$
\text{Index} = \frac{\text{test sample absorbance at 450 nm}}{\text{reference preparation absorbance at 450 nm}} \times 100
$$
Results are reported as “Negative”, “Positive”, or “Indeterminate”. A specimen with an index value equal to or greater than the specified cut-off (i.e. ≥45) is considered positive for antibodies against 21-OH while an index value below this cut-off (i.e. <45) is considered negative for 21-OH antibodies.
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Index values are calculated from the mean of duplicates. Results can be considered valid determinations if sample replicates yield the same clinical interpretation (i.e. both replicates have index values that are <45 or ≥45) and coefficient of variation does not exceed 20% for determinations calculated from duplicates with at least one index value in the range of 36–54.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
All results met the manufacturer’s pre-determined acceptance criteria.
#### a. Precision/Reproducibility:
Intra-and inter-assay precision were determined using a panel consisting of four to seven human sera samples with mean index values that cover the complete range of results (<45=negative, ≥45=positive and near to the cut-off range of 33.8–56.3). The intra-assay imprecision is based on 20 determinations in a single run within a single day and the inter-assay based on 40 determinations (twice a day for 20 days) with each sample assayed with one reagent lot in one determination calculated from the mean of duplicates. The precision data for all samples was analyzed to generate a summary of the qualitative agreement as shown in the table below:
| Intra-assay | | | | |
| --- | --- | --- | --- | --- |
| Panel member | | | Qualitative agreement (N=20 per sample) | |
| # | Mean index value | Sample characterization | Number of positive test results / N | %Agreement in Dx calls |
| 1 | 5.4 | Negative | 0/20 | 100 |
| 2 | 35.5 | Negative (near to cut-off) | 0/20 | 100 |
| 3 | 48.6 | Positive (near to cut-off) | 19/19* | 100 |
| 4 | 206.9 | Positive | 20/20 | 100 |
| N: number of determinations; Dx: diagnostic
*One determination produced an ‘indeterminate’ result because it generated one negative and one positive replicate during the initial run. This ambiguous result was not resolved upon repeat and, therefore, it was omitted from data analysis. | | | | |
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| Inter-assay | | | | | |
| --- | --- | --- | --- | --- | --- |
| Panel member | | | Qualitative agreement (N=40 per sample) | | |
| # | Mean index value | Sample characterization | Number of positive test results / N | %Agreement in Dx calls | |
| 1 | 6.2 | Negative | 0/40 | 100 | |
| 2 | 40.8 | Negative (near to cut-off) | 4/36* | 88.9 | |
| 3 | 51.9 | Positive (near to cut-off) | 38/40 | 95 | |
| 4 | 66.0 | Positive | 40/40 | 100 | |
| 5 | 249.3 | Positive | 40/40 | 100 | |
| 6 | 425.5 | Positive | 40/40 | 100 | |
| 7 | 476.3 | Positive | 40/40 | 100 | |
| N: number of determinations; Dx: diagnostic
* A total of four determinations produced an ‘indeterminate’ result because they generated one negative and one positive replicate during the initial run. These ambiguous results were not retested due to inadequate volume and were omitted from the analysis. | | | | | |
To evaluate lot-to-lot imprecision, a panel of eight human serum samples with mean index values that cover the complete range of results (negative, positive and near to cut-off) was assayed in two determinations (N=2; each determination calculated from the mean of duplicates) using three different kit lots. The results are summarized in the table below.
| Lot-to-Lot | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Panel member | | | Qualitative agreement (N=6 per sample) | | | | | | | | |
| # | Mean index value | Sample characterization | Lot 1 (N=2) | | Lot 2 (N=2) | | Lot 3 (N=2) | | Number of positive test results / N | %Agreement in Dx calls | |
| | | | 1 | 2 | 1 | 2 | 1 | 2 | | | |
| 1 | 5.2 | Negative | - | - | - | - | - | - | 0/6 | 100 | |
| 2 | 38.1 | Negative (near to cut-off) | - | - | - | - | - | - | 0/6 | 100 | |
| 3 | 48.5 | Positive (near to cut-off) | + | + | + | + | + | + | 6/6 | 100 | |
| 4 | 112.1 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 5 | 117.6 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 6 | 126.5 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
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| Lot-to-Lot | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Panel member | | | Qualitative agreement (N=6 per sample) | | | | | | | | |
| # | Mean index value | Sample characterization | Lot 1 (N=2) | | Lot 2 (N=2) | | Lot 3 (N=2) | | Number of positive test results / N | %Agreement in Dx calls | |
| | | | 1 | 2 | 1 | 2 | 1 | 2 | | | |
| 7 | 124.6 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 8 | 134.1 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| N: number of determinations; Dx: diagnostic | | | | | | | | | | | |
The site-to-site reproducibility was also investigated by testing a panel of samples with mean index values that cover the complete range of results (negative, positive and near to cut-off) with one reagent lot in two determinations (N=2; each determination calculated from duplicate values) in one run at three different laboratories, including one in the United States. The results are summarized in the table below.
| Site-to-Site | | | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Panel member | | | Qualitative agreement (N=6 per sample) | | | | | | | | |
| # | Mean index value | Sample characterization | Site 1 (N=2) | | Site 2 (N=2) | | Site 3 (N=2) | | Number of positive test results / N | %Agreement in Dx calls | |
| | | | 1 | 2 | 1 | 2 | 1 | 2 | | | |
| 1 | 29.2 | Negative | - | - | - | - | - | - | 0/6 | 100 | |
| 2 | 43.7 | Negative (near to cut-off) | - | O | - | - | + | + | 2/5* | 60 | |
| 3 | 45.0 | Positive (near to cut-off) | - | - | - | - | + | + | 2/6 | 33.3 | |
| 4 | 98.2 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 5 | 102.1 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 6 | 103.2 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 7 | 109.9 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 8 | 113.9 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| 9 | 362.9 | Positive | + | + | + | + | + | + | 6/6 | 100 | |
| N: number of determinations; Dx: diagnostic
* One determination produced an ‘indeterminate’ result because it generated one negative and one positive replicate during the initial run. This ambiguous result was not resolved upon repeat and was therefore omitted (O) from data analysis. | | | | | | | | | | | |
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b. Linearity/assay reportable range:
Not applicable
Hook effect: Seven patient sera positive for 21-OH Ab were serially diluted in normal human serum. No hook effect was observed for index values up to 616.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
i) Traceability and value assignment: There are no recognized standards for 21-OHAb. The Reference Preparation and positive controls are manufactured independently of each other and are prepared by diluting rabbit serum, containing antibodies against human 21-OH, in pooled normal human serum. The Reference Preparation is checked against an internally produced standard. The two Positive controls are assigned values based on the mean of 4 to 10 values (generated from separate assays). The Reference Preparation and positive controls are assayed and adjusted, if necessary, until all materials meet required specifications. Additionally, all controls and QC panels run with the assay must be within their established ranges. The Negative Control is pooled normal human serum (negative for 21-OH antibodies).
ii) Kit stability:
Closed kit stability A real-time stability study was performed using three lots of kit reagents, three lots of the Reference Preparation and three lots of Kit Controls to demonstrate unopened kit shelf-life stability from the date of manufacture. The samples tested included two positive controls and 12 patient samples that cover the complete range of results (negative, positive and near to cut-off). Results showed that a nine-month shelf life is appropriate for the kit reagents, Reference Preparation and Kit Controls.
Open kit stability A real-time stability study supports the stability of the ELISA plates after first opening of the foil pouch at six months when stored at 2 8°C. The package insert recommends that any unused wells be placed in the self-seal plastic bag provided. Opened calibrators and controls are stable for four months. Reconstituted Biotin must be used immediately. Working concentrations of SA-POD are stable for 16 weeks. Diluted Wash Solution is stable for 12 months. Concentrated Wash Solution, Biotin Reconstitution Buffer, Diluent for SA-POD, TMB, and Stop Solution may be stored until the expiry date indicated on each respective container. The 'Storage and Stability' section of the Package Insert states "Do not use reagents from kits with different lot numbers".
iii) Sample stability and storage:
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The package insert recommends that sera be assayed soon after separation or stored in aliquots at or below −20°C. If the serum is stored frozen, it is recommended to do so in aliquots, as subsequent freezing and thawing may lead to a loss of analyte.
d. Detection limit:
Not applicable
e. Analytical specificity:
i) Cross-reactivity:
To investigate the quality of the antigen coated on the plates to ensure a high specificity of the KRONUS 21-OHAb ELISA Kit, cross reactivity was evaluated with 170 sera from other autoimmune diseases and conditions for autoimmune primary adrenal insufficiency differential diagnosis. These Non-Target Disease Group samples were comprised of 58 Graves' Disease sera positive for TSH receptor antibodies (index values range from 8.5 to 21), eight Hashimoto's Thyroiditis sera positive for antibodies against thyroglobulin (TgAb) and/or thyroid peroxidase (TPOAb) (index values range from 11 to 18), 16 Rheumatoid arthritis sera (index values range from 9.9 to 20), nine Type 1 Diabetes Mellitus sera positive for zinc transporter 8 protein antibodies (index values range from 10 to 60), 62 Type 1 Diabetes Mellitus sera positive for glutamic acid decarboxylase antibodies (index values range from 7.2 to 409), eight Neuromyelitis Optica Spectrum Disorder sera positive for aquaporin-4 water channel antibodies (index values range from 11 to 16), and nine Systemic Lupus Erythematosus sera positive for double stranded DNA antibodies (index values range from 13 to 16).
A total of 168 of 170 specimens tested negative with the KRONUS 21-OHAb ELISA Kit. The two positive sera were as follows: one Type 1 Diabetes Mellitus serum (positive for zinc transporter 8 protein antibodies) with an index value of 60 and one Type 1 Diabetes Mellitus serum (positive for glutamic acid decarboxylase antibodies) with an index value of 409.
ii) Endogenous interference:
Interference testing was performed by using 10 to 12 samples with mean index values that cover the complete range of results (negative, positive and near to cut-off). Each sample was spiked with known quantities of the interfering substances and analyzed in five determinations (N=5) in one assay run with one kit lot. Results show that except for Intralipid, no interference was detected for each interfering substance tested at the concentration listed in the table below.
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| Potential interfering substance | Test dose | Sample | | | Qualitative agreement (N=5 per sample) | |
| --- | --- | --- | --- | --- | --- | --- |
| | | Number of sample tested | Mean index value | Sample Characterization | Number of positive test results / N | %Agreement in Dx calls |
| Bilirubin | 20 mg/dL | 1 | 12.0 | Negative | 0/5 | 100 |
| | | 1 | 37.3 | Negative (near to cut-off) | 0/5 | 100 |
| | | 1 | 49.0 | Positive (near to cut-off) | 5/5 | 100 |
| | | 7 | 81.3 to 230.5 | Positive | 35/35 | 100 |
| Intralipid | 1000 mg/dL | 1 | 6.6 | Negative | 0/5 | 100 |
| | | 2 | 35.8 and 44.0 | Negative (near to cut-off) | 0/10 | 100 |
| | | 2 | 45.7 and 51.1 | Positive (near to cut-off) | 3/7* | 42.9 |
| | | 7 | 73.1 to 185.4 | Positive | 35/35 | 100 |
| Hemoglobin | 5 mg/mL | 1 | 6.4 | Negative | 0/5 | 100 |
| | | 1 | 36.9 | Negative (near to cut-off) | 0/5 | 100 |
| | | 1 | 50.1 | Positive (near to cut-off) | 5/5 | 100 |
| | | 7 | 61.6 to 328.3 | Positive | 35/35 | 100 |
| Biotin | 14 µg/mL | 3 | 4.1 to 5.1 | Negative | 0/15 | 100 |
| | | 1 | 40.8 | Negative (near to cut-off) | 0/5 | 100 |
| | | 1 | 51.6 | Positive (near to cut-off) | 5/5 | 100 |
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| Biotin | 14 μg/mL | Sample | | | Qualitative agreement (N=5 per sample) | |
| --- | --- | --- | --- | --- | --- | --- |
| | | Number of sample tested | Mean index value | Number of sample tested | Mean index value | Number of sample tested |
| | | 5 | 62.1 to 330.5 | Positive | 25/25 | 100 |
| Rheumatoid factor | 250 U/mL | 1 | 5 | Negative | 0/5 | 100 |
| | | 2 | 38.5 and 40.3 | Negative (near to cut-off) | 10/10 | 100 |
| | | 7 | 100 to 305.0 | Positive | 35/35 | 100 |
| N: number of determinations; Dx: diagnostic
*Three determinations (from different samples) produced an ‘indeterminate’ result because they generated one negative and one positive replicate during the initial run. These ambiguous results were not repeated and omitted from data analysis. | | | | | | |
For Intralipid tested at a concentration of 1000 mg/dL, a systemic negative bias was observed when comparing spiked samples to reference samples. A dose-response study was conducted to further characterize potential interference of lipemic samples in the assay. No bias was observed at Intralipid concentration up to 700 mg/dL. The ‘Analytical Specificity’ section of the Package Insert has been updated to indicate that Intralipid may interfere in the assay at concentrations >700 mg/dL. The ‘Specimen Collection and Handling’ section of the Package Insert states “Do not use lipemic or grossly hemolyzed serum samples”.
f. Assay cut-off:
The assay cut-off (index value greater than or equal to 45 is positive) for the KRONUS 21-OHAb ELISA Kit was determined by testing specimens from 1082 healthy blood donors in the United States. Using the 97.5th percentile value (27.4) plus 6 standard deviations, a cut-off value of 45 was deemed appropriate. Utilizing this cut-off value, 1.2% (2/170) of the sera from patients in the Non-Target Disease Group as detailed in the cross-reactivity study presented above in the section on ‘Analytical Specificity’ were positive for 21-OHAb. Given these results, index values ≥45 are considered positive in the KRONUS 21-OHAb ELISA Kit while samples <45 are considered negative.
2. Comparison studies:
a. Method comparison with predicate device:
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Sera from patients diagnosed with Addison's Disease as well as healthy blood donors were tested with both the KRONUS 21-OHAb ELISA Kit and KRONUS 21-OHAb RIA Assay Kit.
Of the 112 Addison's Disease patient sera, 98 (87.5%) were positive by the ELISA assay and 93 (83%) were positive by the RIA assay. The five samples that were positive in the ELISA and negative in the RIA assay were low positive samples with index values of 48.2, 49.1, 66.2, 76.1 and 89.9.
| | KRONUS 21-OHAb RIA Assay Kit | | | |
| --- | --- | --- | --- | --- |
| | | Positive: > 1 U/mL | Negative: ≤ 1 U/mL | Total |
| KRONUS 21-OHAb ELISA Kit | Positive: ≥45 | 93 | 5 | 98 |
| | Negative: <45 | 0 | 14 | 14 |
| | Total | 93 | 9 | 112 |
Of the 142 healthy blood donors evaluated in both assays, 142 (100%) were negative by the ELISA assay and 141 (99.3%) were negative by the RIA assay.
| | KRONUS 21-OHAb RIA Assay Kit | | | |
| --- | --- | --- | --- | --- |
| | | Positive: > 1 U/mL | Negative: ≤ 1 U/mL | Total |
| KRONUS 21-OHAb ELISA Kit | Positive: ≥45 | 0 | 0 | 0 |
| | Negative: <45 | 1 | 141 | 142 |
| | Total | 1 | 141 | 142 |
Based on the results of 254 samples evaluated, presented in the table below, the KRONUS 21-OHAb ELISA and KRONUS 21-OHAb RIA Assay have a positive percent agreement of 98.9% (93/94) 95% CI: 94.2%–99.8%, a negative percent agreement of 96.9% (155/160) 95% CI: 92.9%–98.7%, and an overall percent agreement of 97.6% (248/254 samples) 95% CI: 94.9%–98.9%.
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| | KRONUS 21-OHAb RIA Assay Kit | | | |
| --- | --- | --- | --- | --- |
| | | Positive: > 1 U/mL | Negative: ≤ 1 U/mL | Total |
| KRONUS 21-OHAb ELISA Kit | Positive: ≥45 | 93 | 5 | 98 |
| | Negative: <45 | 1 | 155 | 156 |
| | Total | 94 | 160 | 254 |
b. Matrix comparison:
Not applicable. Serum is the only recommended matrix. The Package Insert 'Specimen Collection and Handling' section states "Serum is the preferred specimen; do not use plasma in the assay".
3. Clinical studies:
a. Clinical Sensitivity and specificity:
The performance of KRONUS 21-OHAb ELISA Kit was compared to a clinical diagnosis of autoimmune primary adrenal insufficiency. The validation set consisted of clinically characterized sera from 23 patients with isolated Addison's disease, 24 Type I autoimmune polyglandular syndrome (APS), 61 Type II APS and 291 patients with other autoimmune diseases and conditions for autoimmune adrenal disease differential diagnosis for a total of 399 patient serum samples. The results of KRONUS 21-OHAb ELISA Kit for each disease category are shown below:
| | # Evaluated | # Positive |
| --- | --- | --- |
| Target Disease | | |
| Addison (isolated) | 23 | 18 (78.3%) |
| Addison PAS Type I | 24 | 18 (75%) |
| Addison PAS Type II | 61 | 58 (95.1%) |
| Total | | 94/108 (87.0%) |
| Non-Target Disease | | |
| Other Auto-Immune Conditions / Non-infectious Disease | | |
| Rheumatoid Arthritis | 16 | 0 (0.0%) |
| Type 1 Diabetes | 71 | 2 (2.8%) |
| Neuromyelitis Optica Spectrum Disorder | 8 | 0 (0.0%) |
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| | # Evaluated | # Positive |
| --- | --- | --- |
| Non-Target Disease | | |
| Other Auto-Immune Conditions / Non-infectious Diseases | | |
| Hashimoto's Thyroiditis | 30 | 0 (0.0%) |
| Graves' Disease | 58 | 0 (0.0%) |
| Systemic Lupus Erythematosus | 9 | 0 (0.0%) |
| Amyloidosis | 2 | 0 (0.0%) |
| Sarcoidosis | 14 | 0 (0.0%) |
| Vitiligo | 4 | 0 (0.0%) |
| Sjogren's Syndrome | 17 | 0 (0.0%) |
| Premature Ovarian Failure | 3 | 0 (0.0%) |
| Hypoparathyroidism | 8 | 0 (0.0%) |
| Pernicious Anemia | 10 | 0 (0.0%) |
| Infectious Diseases | | |
| Coccidioidomycosis | 1 | 0 (0.0%) |
| Candidiasis | 10 | 0 (0.0%) |
| Histoplasmosis | 10 | 0 (0.0%) |
| Mycobacterium Tuberculosis | 2 | 0 (0.0%) |
| Human Immunodeficiency Virus | 10 | 0 (0.0%) |
| Cytomeglovirus | 3 | 0 (0.0%) |
| Post Tuberculosis Addison's Disease | 5 | 0 (0.0%) |
| Total | | 2/291 (0.7%) |
Clinical sensitivity and specificity in this sample cohort are summarized in the following table:
| | Diagnosis | | | |
| --- | --- | --- | --- | --- |
| | | Positive | Negative | Total |
| KRONUS 21-OHAb ELISA Kit | Positive: ≥45 | 94 | 2 | 96 |
| | Negative: <45 | 14 | 289 | 303 |
| | Total | 108 | 291 | 399 |
| Clinical sensitivity: 87.0% (94/108) | | 95% CI: 79.4% to 92.2% | | |
| Clinical specificity: 99.3% (289/291) | | 95% CI: 97.5% to 99.8% | | |
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b. Other clinical supportive data (when a. and b. are not applicable):
Not applicable
4. Clinical cut-off:
See assay cut-off.
5. Expected values/Reference range:
The expected values of 21-OHAb were analyzed in accordance with CLSI guideline C28-A3c using 1082 serum samples from apparently healthy blood donors (85% men, 15% women between the age from 11 to 68 years). The mean age of this cohort was 38.3 years (SD of 13.8). The range of index values obtained was 1.9–74.7 with a mean index value of 7.2 (SD of 4.56). The upper limit of the reference range was determined using the non-parametric calculations. The 97.5th percentile value for all samples was 17.1 (90% CI:16.0–22.3). A total of 1080 samples (99.8%) were negative for 21-OHAb and two samples positive for 21-OHAb (0.2%) have index values of 65.7 and 74.7. It is the responsibility of each laboratory to establish its own reference ranges for the population of patients it serves, as expected values are affected by many different factors.
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 a substantial equivalence decision.
15
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.