This method is for the semi-quantitative determination of biotinidase, EC 3.5.1.12, activity in dried whole blood spots using a spectrophotometer. Measurement of biotinidase activity is primarily for the diagnosis and treatment of biotinidase deficiency in newborns. This method is intended for in vitro diagnostic use to aid in screening for decreased levels of biotinidase activity and not for monitoring purposes.
Device Story
The SPOTCHECK Biotinidase Microplate Reagent Kit is an in vitro diagnostic assay for semi-quantitative determination of biotinidase activity in neonatal dried whole blood spots. The device uses a colorimetric spectrophotometric method; patient samples are eluted in a 96-well microplate and incubated with Biotin-PAB substrate. Biotinidase releases p-aminobenzoic acid (PABA), which is then diazotized and coupled to a napthol derivative to form a purple azo dye. The intensity of the color, measured at 550 nm (with 690 nm reference) using a microplate absorbance reader, is proportional to biotinidase activity. The test is performed by trained laboratory personnel. Results aid in identifying newborns with decreased biotinidase activity; samples below established cutoffs require confirmatory follow-up testing. The kit includes reagents for color development and PABA standards for calibration.
Clinical Evidence
No clinical trials were performed. Substantial equivalence was supported by a method comparison study using 564 newborn dried blood spot samples, including 2 clinically-confirmed deficient patients and 10 CDC-provided deficient controls. The study compared the proposed device to the predicate, showing high concordance in classifying deficient and partial-activity samples. Analytical performance was validated via bench testing, including precision (total CV 7.1-9.7%), linearity (3-213 MRU), and interference studies (evaluating albumin, lipids, bilirubin, and antibiotics).
Indicated for the semi-quantitative screening of biotinidase deficiency in newborns using dried whole blood spots. For use by trained laboratory personnel in clinical settings.
Regulatory Classification
Identification
The biotinidase test system is an in vitro diagnostic device intended to measure the activity of the enzyme biotinidase in blood. Measurements of biotinidase are used in the treatment and diagnosis of biotinidase deficiency, an inborn error of metabolism in infants, characterized by the inability to utilize dietary protein bound vitamin or to recycle endogenous biotin. The deficiency may result in irreversible neurological impairment.
Special Controls
*Classification.* Class II (special controls). The special control is sale, distribution, and use in accordance with the prescription device requirements in § 801.109 of this chapter.
In addition to the general controls of the act, the Wallac Neonatal Biotinidase Test Kit is subject to the following special controls: 1) the sale, distribution and use of this device are restricted to prescription use in accordance with 21 CFR 801.109.
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
k080294
B. Purpose for Submission:
New Device
C. Measurand:
Biotinidase
D. Type of Test:
Semi-quantitative colorimetric assay
E. Applicant:
Astoria-Pacific, Inc.
F. Proprietary and Established Names:
SPOTCHECK Biotinidase Microplate Reagent Kit
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1118 Biotinidase Test System
2. Classification:
Class II
3. Product code:
NAK
4. Panel:
Chemistry (77)
H. Intended Use:
1. Intended use(s):
See Indications for use statement below.
2. Indication(s) for use:
This method is for the semi-quantitative determination of biotinidase, EC 3.5.1.12, activity in dried whole blood spots using a spectrophotometer. Measurement of biotinidase activity is primarily for the diagnosis and treatment of biotinidase deficiency in newborns. This method is intended for in vitro diagnostic use to aid in screening for decreased levels of biotinidase activity and not for monitoring purposes.
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This device is for use by trained, qualified laboratory personnel.
3. Special conditions for use statement(s):
For Prescription Use Only
This kit is not to be used for monitoring purposes. This test cannot be used to screen for biotinidase deficiency in patients who have received a transfusion or in patient being treated with certain sulfonamide antibiotics. All samples below the partial activity cutoff require confirmation and follow-up testing according to local, state and federal requirements. The Astoria-Pacific Biotinidase Microplate Reagent Kit test procedure cannot classify any particular genotype.
4. Special instrument requirements:
A microplate absorbance reader capable of reading at 550 and 690 nm is needed but not provided.
The performance data provided in this submission was generated using a TECAN sunrise absorbance reader.
I. Device Description:
The kit includes sufficient reagent for the analysis of 20 plates, or 1920 individual measurements of patient samples, calibration standards and quality control material.
The kit includes:
- Color Reagent 1 (containing sodium nitrate)
- Color Reagent 2 (containing ammonium sulfamate)
- Color Reagent 3 (containing N-1-naphthylethylenediamine dihydrochloride)
- Biotin-PAB Substrate (containing biotinyl-p-aminobenzoate and tetrasodium ethylenediaminetetraacetate)
- Color Reagent 1 Diluent (containing surfactant and preservative)
- Color Reagent 2 Diluent (containing N hydrochloric acid)
- Substrate Diluent (containing Pro-clin 300 in water)
- Substrate Buffer (containing potassium sulfate, monobasic and potassium sulfate, dibasic)
- PABA Stock Standard (containing p-aminobenzoic acid)
- 30% TCA (trichloroacetic acid) in water
J. Substantial Equivalence Information:
1. Predicate device name(s):
Astoria-Pacific SPOTCHECK Biotinidase Kit, 50 hour
2. Predicate 510(k) number(s):
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k010844
3. Comparison with predicate:
| Differences | | | |
| --- | --- | --- | --- |
| Characteristic | | Predicate device (k010844) | Proposed device |
| Incubation | In microplate, on combination incubator/shaker | | On flow analyzer system |
| Matrix interference mitigation | Chemical precipitation and manual vacuum filtration | | Manual vacuum filtration and dialysis on the flow analyzer system |
| Incubation Temp | 37°C | | 40°C |
| Absorbance measurements | Spectrophotometric plate reader, 550 nm (reference at 690 nm) | | Flow through split-beam spectro-photometer, 550 nm |
| Unit of measurement | Enzyme response unit (ERU) 1 ERU defined as the azo dye formed from 1 μmol of p-aminobenzoic acid produced from Biotin-PAB per dL per ~120 min. of incubation at 40°C | | Microplate response unit (MRU) 1 MRU defined as the azo dye formed from 1 μmol of p-aminobenzoic acid produced from Biotin-PAB per dL per 240 min. of incubation at 37°C |
| Incubation Time | 240 minutes | | ~120 minutes |
| Similarities | | | |
| --- | --- | --- | --- |
| Characteristic | | Predicate device (k010844) | Proposed device |
| Sample collection and handling | | Use standardized filter paper, S&S®903™ Follow CLSI document LA4-A2: Blood Collection on Filter Paper for Neonatal Screening | Same |
| Deficient cutoff | | 10% of normal activity | Same |
| Near Deficient cutoff – Clinical decision level | | 37% of normal activity | Same |
| Sample | | 2 x 1/8” punched blood spots | Same |
| | Color Reagents | Sodium nitrite, acidic ammonium sulfate, NED | Same |
| | Incubation substrate | Buffered Biotinyl-p-Aminobenzoate | Same |
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4
K. Standard/Guidance Documents Referenced (if applicable):
CLSI Documents:
- User Evaluation of Precision Performance of Clinical Chemistry Devices: Approved Guideline (EP5-A2)
- Evaluation of the Linearity of Quantitative Measurement Procedures: a Statistical Approach: Approved Guideline (EP6-A2)
- Interference Testing in Clinical Chemistry: Approved Guideline (EP7-A2)
- Protocols for Determination of Limits of Detection and Limits of Quantitation; Approved Guideline (EP-17A)
L. Test Principle:
Biotinidase activity is determined by measuring the color that develops from p-Aminobenzoic Acid (PABA) after PABA is released from Biotinyl-p-Aminobenzoate (Biotin-PAB). Samples with biotinidase activity develop a purple color. Samples without biotinidase activity remain straw-colored.
Patient samples of whole blood collected on standardized filter paper are eluted in a standard 96 well microplate. The plate is incubated with Biotin-PAB in a pH 6 buffer at 37°C for 240 minutes on a combination incubator/shaker. Following incubation, trichloroacetic acid is added to the sample mixture and the resulting precipitate is removed through filtration. The PABA in the filtrate is subsequently diazotized and coupled to a napthol derivative to form an azo dye by the successive addition of sodium nitrite, acidic ammonium sulfamate and finally, N-1-naphthylethylenediamine dihydrochloride (NED). The azo dye is measured colorimetrically at 550 nm on a commercial microplate absorbance reader with a reference measurement at 690 nm.
$$
\text{Biotin-PAB} \xrightarrow[\text{pH 6}]{\text{Biotinidase}} \text{Biotin} + \text{PABA}
$$
$$
\text{PABA} \xrightarrow[\text{NED}]{\text{NO}_2, \text{NH}_2\text{SO}_3} \text{Purple chromophore}
$$
The color developed is proportional to the biotinidase activity in the sample. A standard curve prepared from a stock PABA solution is used to evaluate the results.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Precision studies were performed using CLSI Document EP5-A2: Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline – Second Edition as a guideline. Samples at 3 concentration levels of biotinidase activity were analyzed in duplicate on 2 runs per day for 20 non-consecutive days. The concentration level proximate to the biotinidase deficient cutoff of 10 MRU was analyzed over 5 non-consecutive days. Within-run and
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total precision was calculated according to CLSI EP5-A2. A total of 80 data points at each level were collected.
Sample blood spot controls used for the study with no activity (deficient) and partial activity are manufactured from stripped human serum that is mixed with whole human red blood cells and subsequently heat deactivated before being spotted on standard filter paper. Normal controls consist of normal human serum mixed with whole red blood cells that are not heated before spotting. Controls with partial activity are manufactured by combining deficient and normal controls before they are spotted. Additionally, dithioerythritol (DTE) is added prior to spotting to preserve the enzymatic activity.
Units for the Microplate Reagent Kit are microplate response units or MRU. A MRU equals $1\mu \mathrm{mol}$ of p-aminobenzoic acid produced from Biotin-PAB per dL per 240 minutes of incubation at $37^{\circ}\mathrm{C}$ .
| Biotinidase (MRU) | Deficient (5 days) | Partial Activity (20 days) | Normal (20 days) | High Activity (20 days) |
| --- | --- | --- | --- | --- |
| Mean (MRU) | 10.3 | 18.3 | 50.7 | 124.9 |
| SD (within-run) | 0.6 | 1.2 | 2.2 | 4.7 |
| C.V. (within-run) | 5.8% | 6.3% | 4.4% | 3.8% |
| B (daily mean) | 0.8 | 1.1 | 3.1 | 7.2 |
| SD (total) | 1.1 | 1.7 | 3.7 | 8.9 |
| C.V. (total) | 9.7% | 9.4% | 7.3% | 7.1% |
# b. Linearity/assay reportable range:
The linearity study was performed using CLSI Document EP6-A: Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline as a guideline. The claimed measuring range for this device is 3 - 213 MRU. Two pools of manufactured blood spots, one with high biotinidase activity and one with low biotinidase activity were extracted and then proportionately mixed to provide 18 concentrations at equally spaced intervals. Four replicates at each level were analyzed in a single run to provide data to determine linearity according to CLSI EP6-A.
The absolute values of the differences between each replicate were calculated for each level, followed by the mean difference. Next, the sum of the squared differences and its mean were calculated as well as the sum of the squared percent differences and its mean. Finally, first, second and third order regressions of the data were performed to evaluate whether any non-linear terms were significant. Results were determined according to the method outlined in CLSI EP6-A.
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| Order | Coefficient | Value | Standard Error of the Regression | Degrees of Freedom | t-Test |
| --- | --- | --- | --- | --- | --- |
| First | \(b_o\) | -7.241 | | | |
| First | \(b_1(x term)\) | 12.251 | 1.026 | 70 | |
| Second | \(b_o\) | -7.148 | | | |
| Second | \(b_1(x term)\) | 12.224 | | | |
| Second | \(b_2(x^2 term)\) | 0.001 | 1.033 | 69 | 0.228* |
| Third | \(b_o\) | -7.526 | | | |
| Third | \(b_1(x term)\) | 12.434 | | | |
| Third | \(b_2(x^2 term)\) | -0.026 | | | |
| Third | \(b_3(x^3 term)\) | 0.001 | 1.035 | 68 | 0.837* |
*does not exceed the limits in the table for the "Students t" distribution at the 95% level
| Sample level (n=4) | Mean MRU | Std. Deviation | Difference from Predicted MRU | % Difference |
| --- | --- | --- | --- | --- |
| 1 | 4.96 | 0.417 | 0.066 | 1.33 |
| 2 | 17.67 | 0.680 | 0.043 | 0.25 |
| 3 | 28.92 | 0.481 | 0.022 | 0.08 |
| 4 | 41.63 | 0.798 | 0.005 | 0.01 |
| 5 | 54.33 | 0.680 | -0.010 | -0.02 |
| 6 | 66.63 | 0.798 | -0.021 | -0.03 |
| 7 | 78.50 | 0.680 | -0.030 | -0.04 |
| 8 | 90.38 | 0.798 | -0.036 | -0.04 |
| 9 | 103.50 | 0.680 | -0.039 | -0.04 |
| 10 | 115.58 | 1.076 | -0.039 | -0.03 |
| 11 | 127.04 | 0.798 | -0.036 | -0.03 |
| 12 | 139.54 | 1.049 | -0.030 | -0.02 |
| 13 | 152.25 | 1.076 | -0.021 | -0.01 |
| 14 | 164.13 | 0.798 | -0.010 | -0.01 |
| 15 | 176.21 | 1.848 | 0.005 | 0.00 |
| 16 | 188.50 | 2.041 | 0.022 | 0.01 |
| 17 | 201.21 | 1.423 | 0.043 | 0.02 |
| 18 | 213.71 | 1.848 | 0.066 | 0.03 |
The results of the t-test for $\mathrm{b}_2$ ( $\mathrm{x}^2$ term) on the second order regression analysis and for $\mathrm{b}_3$ ( $\mathrm{x}^3$ term) on the third order regression analysis show that there are no significant nonlinear terms. There are no concentrations at which the percentage difference between the first and second order regressions exceeds 5%. In the range of 5 to 213 MRU, the system is judged to be linear.
c. Traceability, Stability, Expected values (controls, calibrators, or methods): Controls: Positive or negative control materials are not included with this assay. The manufacturer states that laboratories include normal and abnormal
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dried blood spot quality control material with each run to validate results. All quality control requirements and testing should be performed in conformance with local, state and/or federal regulations.
## Calibrator:
a. Traceability: Users dilute the stock PABA solution provided in the kit to generate a series of calibrators added to wells of each microplate. The PABA stock solution is made with commercially available p-aminobenzoic acid free acid. This solid is weighed on certified balances and dissolved in a solution containing hydrochloric acid and preservative. There is no current standard for PABA available.
b. Value assignment: multiple replicates of each new lot of PABA stock solution as well as replicates of the currently marketed lot and an archived primary lot are tested with an FDA cleared device for biotinidase screening. New lots of PABA stock solution must have values ± 2% of the primary lot.
Stability: Astoria-Pacific makes two claims of shelf life on the labeling: Shelf life for unopened kits is 2 years. Recommended storage for unopened kits is 2-8°C. Prepared reagents are stable for 14 days. The study protocol, acceptance criteria and summary of results was reviewed and found to be acceptable.
## d. Detection limit:
The Limit of the Blank (LoB), Limit of Detection (LoD), and Limit of Quantitation (LoQ) were determined using CLSI Document EP-17A: Protocols for Determination of Limits of Detection and Limits of Quantitation; Approved Guideline as a guideline.
Over the course of 3 non-consecutive days, 5 samples deficient in biotinidase activity were analyzed in 5 batches of 12 replicates each for a total of 60 observations. Analyzed concurrently were 60 replicates of a blank control sample. Results were used to determine the detection limit of the analytical system per CLSI document EP-17A.
| LoB | |
| --- | --- |
| Number of Observations (N) | 60 |
| Mean (μ) | 0.2639 |
| Standard Deviation (σ) | 1.1388 |
| Limit of Blank (LoB) | 2 |
| {LoB = μ + 1.645σ} | |
| LoD and LoQ | |
| --- | --- |
| Number of Observations (N) | 60 |
| Number of Samples (K) | 5 |
| Standard Deviation (SD) | 0.5438 |
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The LoD and LoQ for biotinidase activity was calculated as 3 MRU, determined using the guidelines in CLSI EP17-A. Proportions of false positives $(\alpha)$ are less than $0.1\%$ and false negatives $(\beta)$ are less than $0.1\%$ , based on 120 determinations, with 60 blank and 60 low-level samples. The LoB was calculated as 2 MRU.
# e. Analytical specificity:
Study protocols to evaluate the potential interference from various compounds used CLSI Document EP5-A2: Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline - Second Edition as a guideline. To determine the potential interference from various compounds, the following procedure was used: six lots of dried blood spots were created for two blood samples with different levels of partial biotinidase activity (at the lower side of the partial deficiency range at $\sim 18$ MRU and at the higher side of the range at $\sim 48$ MRU) were prepared with either no added compound or two different concentrations of added compound (see table below for each compound and added concentration/quantity). Eight replicates at each level were analyzed in a single run to provide data to determine the effects of the compound on biotinidase analysis.
| Compound | Concentrations of compound added to samples | |
| --- | --- | --- |
| Albumin | 30 g/L (3g/dL) | 60 g/L (6 g/dL) |
| Hemoglobin | 2 g/L (0.2 g/dL) | 1 g/L (0.1 g/dL) |
| Lipids (Intralipid) | 18.5 mmol/L (1635 mg/dL) | 37 mmol/L (3250 mg/dL) |
| Direct Bilirubin | 171 μmol/L (14.4 mg/dL) | 342 μmol/L (28.8 mg/dL) |
| Indirect Bilirubin | 171 μmol/L (10 mg/dL) | 342 μmol/L (20 mg/dL) |
| Gamma globulin | 30 g/L (3g/dL) | 60 g/L (6 g/dL) |
| Sulfonamides | 0.79 mmol/L (200 μg/mL) | 1.58 mmol/L (400 μg/mL) |
| Trimethoprim | 69 μmol/L (20 μg/mL) | 138 μmol/L (40 μg/mL) |
| Tetracycline | 0.05 μmol/L (0.01 μg/mL) | 0.05 μmol/L (0.01 μg/mL) |
| Tetracycline | 0.05 μmol/L (0.01 μg/mL) | 0.05 μmol/L (0.01 μg/mL) |
{8}
Analysis of the data shows that direct and indirect bilirubin, gamma globulin and hemoglobin at the levels tested levels had no statistically significant effect on biotinidase activity determination.
Albumin: The endogenous levels of albumin in the samples tested were 1.6 g/dL (4.5 MRU sample), 1.7 g/dL (for the 54.2 MRU sample) and 1.8 g/dL (for the 17.4 MRU sample).
(The total albumin for each spiked test lot is adjusted in the table below to represent the total albumin concentration during analysis.)
| Deficient Biotinidase Activity | Endogenous only | + 3 g/dL albumin | + 6 g/dL albumin |
| --- | --- | --- | --- |
| | Control Lot 1
1.6 g/dL albumin | Test lot
4.6 g/dL albumin | Test lot
7.6 g/dL albumin |
| Mean MRU (n=8) | 4.50 | 9.92 | 13.8 |
| Standard Deviation | 0.89 | 0.63 | 0.295 |
| Coefficient of Variation | 0.198 | 0.064 | 0.021 |
| Mean Difference from Control | --- | 5.4 | 9.2 |
| Partial Biotinidase Activity | Endogenous only | + 3 g/dL albumin | + 6 g/dL albumin |
| --- | --- | --- | --- |
| | Control Lot 1
1.8 g/dL albumin | Test lot
4.8 g/dL albumin | Test lot
7.8 g/dL albumin |
| Mean MRU (n=8) | 17.4 | 22.4 | 25.9 |
| Standard Deviation | 0.39 | 0.39 | 0.63 |
| Coefficient of Variation | 0.022 | 0.017 | 0.024 |
| Mean Difference from Control (MRU) | --- | 5.0 | 8.5 |
| Moderate Biotinidase Activity | Endogenous only | + 3 g/dL albumin | + 6 g/dL albumin |
| --- | --- | --- | --- |
| | Control Lot 1
1.7 g/dL albumin | Test lot
4.7 g/dL albumin | Test lot
7.7 g/dL albumin |
| Mean MRU (n=8) | 54.2 | 59.2 | 63.4 |
| Standard Deviation | 1.72 | 2.92 | 1.09 |
| Coefficient of Variation | 0.032 | 0.049 | 0.017 |
| Mean Difference from Control (MRU) | --- | 5.0 | 9.2 |
The results of the study show a mean increase of 1.6 MRU per 1 g/dL added albumin for all three sample levels tested. The sponsor has included that information in the labeling, along with the following statement: “[a] patient with high blood albumin concentrations should be screened with an alternative method if its result is proximate to the established partial activity cutoff” and other
{9}
prominent warnings.
**Lipid:** analysis of the data shows that a lipid concentration of 37 mmol/L caused an apparent decrease in biotinidase activity of approximately 65%. A lipid concentration of 18.5 mmol/L caused an apparent decrease in biotinidase activity of approximately 44%. A sample with partial biotinidase activity with very high lipid levels could potentially be classified as deficient, which would result in confirmatory testing. Confirmatory testing mitigates the risk of a patient being misclassified due to interference from high lipid levels.
**Sulfamethoxazole:** added sulfamethoxazole caused a significant increase in patient response at both the 1.58 mmol/L and 0.79 mmol/L concentration level. Sulfonamides react with the color developing reagents to give an intense purple color. Sulfamethoxazole combined with trimethoprim, sulfisoxazole, and any sulfonamide with a free or hydrolyzable primary aromatic amino group may interfere in this fashion. As a consequence, for patients being treated with sulfonamides, an alternate biotinidase screening method should be employed. This is a well-known interference and it is prominently included this constraint in the labeling.
**Trimethoprim:** analysis shows that at trimethoprim concentrations of 138 μmol/L there was approximately an 23% decrease in biotinidase response. At trimethoprim concentrations of 69 μmol/L there was approximately an 8% decrease in biotinidase response. A patient with low biotinidase activity and with very high trimethoprim levels could potentially be classified as having partial activity, which would result in confirmatory testing. Confirmatory testing mitigates the risk of a patient being misclassified due to interference from high trimethoprim levels.
The possible interference by phenytoin, ampicillin, gentamicyn sulfate, vitamin K, penicillin G potassium, kanamycin sulfate, adrenocorticotropic hormone, valproic acid and sodium phenobarbital were evaluated and found to not interfere with this test at therapeutic concentrations.
f. Assay cut-off:
Not applicable.
2. Comparison studies:
a. Method comparison with predicate device:
A method comparison study was performed to determine the correlation between the predicate device and the SPOTCHECK Biotinidase Microplate Reagent Kit (proposed device). This study compares the 2 kits if each were used according to their respective labeling. The cutoffs used for patient classification are calculated from the mean result of the 564 patient samples as described in each device’s package insert.
564 patient samples were analyzed using both the Microplate Reagent Kit and the predicate device. The newborn dried blood spots were primarily from two
10
{10}
states' departments of health and were of varying age. All cards containing real patient samples were stored in a freezer when not in use. Included in this study were the assay results for 2 patients clinically-confirmed to be biotinidase deficient and 10 deficient controls provided by the Centers for Disease Control (CDC).
A partial biotinidase activity and profound deficient cutoff were determined on both devices using 37% and 10% of the mean result of 564 dried blood spots. While literature suggests that a partial activity classification can be considered at or below 30% of the mean patient value, the sponsor has opted to recommend 37% as a more conservative cutoff.
| Newborn Dried Blood Spots (Presumed Normal) | Microplate Reagent Kit (MRU) |
| --- | --- |
| Number of observations | 564 |
| Mean result | 96 |
| Standard Deviation | 33 |
| Range of the Data | 27-210 |
*Note: Above table does not include 10 CDC deficient controls or 2 patients known to be deficient in biotinidase activity.
The cut-offs for the new device with the present study material were calculated to be 10 MRU (deficient) and 36 MRU (partial activity).
The results of the comparison study show that 11 of 11 samples classified as deficient by the predicate device were also found to be deficient by the Microplate Kit. Five samples were classified as having partial biotinidase activity by the predicate device; of these samples, four were similarly classified by the Microplate Kit. The single sample that was classified as normal by the Microplate Kit yielded a value of 9 ERU with the predicate device, right at the cutoff of 10 ERU.
The Microplate Kit classified 1 sample as having partial biotinidase activity that the predicate device found to be normal. Similar to the disagreement above, this sample had a result of 35 MRU, right at the partial activity cutoff of 36 MRU.
It should be noted that both devices classified 1 patient sample clinically-determined to be deficient as partial, however this sample result fell on the cutoff of each kit. Most importantly, this patient would have been slated for confirmatory testing regardless of which kit was employed.
| | Predicate | | | |
| --- | --- | --- | --- | --- |
| | | Deficient | Partial deficient | normal |
| Proposed | Deficient | 11 of 11 | 0 | 0 |
| | Partial deficient | 0 | 4 of 5* | 1** |
| | normal | 0 | 1** | 559 of 560 |
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Note: 1 partial* and the 11 deficient represent the 2 clinically-confirmed patients and 10 CDC deficient controls. Discrepant results** were not confirmed by follow-up testing.
As noted in the labeling, it is up to each laboratory to determine their own clinical decision levels based on its regional patient population.
# b. Matrix comparison:
Not applicable. This device is to be used only with neonatal whole blood.
# 3. Clinical studies:
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:
A partial biotinidase activity and profound deficient cutoff were determined on both devices using $37\%$ and $10\%$ of the mean result of 564 dried blood spots. While literature suggests that a partial activity classification can be considered at or below $30\%$ of the mean patient value, the sponsor has opted to recommend $37\%$ as a more conservative cutoff.
As specified in the package insert, all samples below the partial activity cutoff $(37\%)$ require confirmation and follow-up testing according to local, state and federal requirements.
# 5. Expected values/Reference range:
Each laboratory must determine its range of normal, partial and deficient levels of biotinidase activity, based on its population and analytical variables.
The activity of normal samples varies widely, and the activity of all samples decreases with time under any conditions of storage.
The summary of results from the 564 newborn specimens tested with this kit is shown below:
| Newborn Dried Blood Spots (Presumed Normal) | Microplate Reagent Kit (MRU) |
| --- | --- |
| Number of observations | 564 |
| Mean result | 96 |
| Standard Deviation | 33 |
| Range of the Data | 27-210 |
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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.
13
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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.