K163418 · Diazyme Laboratories · DHA · Aug 18, 2017 · Clinical Chemistry
Device Facts
Record ID
K163418
Device Name
Diazyme DZ-Lite Total beta-hCG Test System
Applicant
Diazyme Laboratories
Product Code
DHA · Clinical Chemistry
Decision Date
Aug 18, 2017
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1155
Device Class
Class 2
Indications for Use
The Diazyme DZ-Lite Total βhCG Test System is comprised of the DZ-Lite Total βhCG assay, calibrator set and control set, using a paramagnetic particle, chemiluminescent immunoassay test method. The test system is intended for in vitro diagnostic use on Diazyme Chemiluminescent Analyzers for the quantitative determination of total beta-human chorionic gonadotropin (total βhCG) in human serum. The test system is intended for use as an aid in the early detection of pregnancy. The Diazyme DZ-Lite 3000 Plus Chemiluminescent Analyzer is intended for determination of various analyte concentrations in human specimens, and is intended for in vitro diagnostic use in a clinical laboratory.
Device Story
The Diazyme DZ-Lite Total BhCG Test System is an in vitro diagnostic device used for the quantitative determination of human chorionic gonadotropin (hCG) in human serum. It is intended for use by clinical laboratory professionals to aid in the early detection of pregnancy. The system utilizes an immunoassay method to measure hCG levels, providing results that assist healthcare providers in clinical decision-making regarding pregnancy status. The device is designed for use in clinical laboratory settings.
Clinical Evidence
Bench testing only. Performance validated via precision (N=240, CVs 0.9-7.8%), linearity (R²=0.992-0.999), and limit of quantitation (1.5 mIU/mL). Method comparison against predicate (N=142) showed Deming regression slope 0.939, R²=0.9718. Interference testing confirmed no significant impact from common endogenous substances or drugs. No high-dose hook effect observed up to 1.5 million mIU/mL.
Technological Characteristics
Sandwich chemiluminescent immunoassay; magnetic particle solid phase; isoluminol-labeled antibody conjugate. Analyte detection via photomultiplier. System includes microcomputer-controlled analyzer with touch-screen, RFID-based calibration, and barcode reader. Reagents stored at 2-8°C. Connectivity: standalone analyzer with external computer interface.
Indications for Use
Indicated for quantitative determination of total βhCG in human serum as an aid in early pregnancy detection. For prescription use only in clinical laboratory settings.
Regulatory Classification
Identification
A human chorionic gonadotropin (HCG) test system is a device intended for the early detection of pregnancy is intended to measure HCG, a placental hormone, in plasma or urine. A human chorionic goadotropin (HCG) test system is a device intended for any uses other than early detection of pregnancy (such as an aid in the diagnosis, prognosis, and management of treatment of persons with certain tumors or carcinomas) is intended to measure HCG, a placental hormone, in plasma or urine.
Submission Summary (Full Text)
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k163418
B. Purpose for Submission:
New device
C. Measurand:
Total beta human chorionic gonadotropin (βhCG) in human serum
D. Type of Test:
Quantitative chemiluminescent immunoassay
E. Applicant:
Diazyme Laboratories
F. Proprietary and Established Names:
Diazyme DZ-Lite Total βhCG Test System
DZ-Lite 3000 Plus Chemiluminescence Analyzer
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1155 Human chorionic gonadotropin test system
21 CFR 862.2160 Discrete photometric chemistry analyzer for clinical use
2. Classification:
Class II (21 CFR 862.1155)
Class I (21 CFR 862.2160)
{1}
3. Product code:
DHA, System, Test, Human Chorionic Gonadotropin
JJE, Analyzer, Chemistry (Photometric, Discrete), For Clinical Use
4. Panel:
Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
See indication for use below.
2. Indication(s) for use:
The Diazyme DZ-Lite Total βhCG Test System is comprised of the DZ-Lite Total βhCG assay, calibrator set and control set, using a paramagnetic particle, chemiluminescent immunoassay test method. The test system is intended for in vitro diagnostic use on Diazyme Chemiluminescent Analyzers for the quantitative determination of total beta-human chorionic gonadotropin (total βhCG) in human serum. The test system is intended for use as an aid in the early detection of pregnancy.
The Diazyme DZ-Lite 3000 Plus Chemiluminescent Analyzer is intended for determination of various analyte concentrations in human specimens, and is intended for in vitro diagnostic use in a clinical laboratory.
3. Special conditions for use statement(s):
For prescription use only.
4. Special instrument requirements:
Performance characteristics studies were conducted on the Diazyme DZ-Lite 3000 Plus Chemiluminescence Analyzer.
I. Device Description:
The Diazyme DZ-Lite Total βhCG Test System consists of magnetic microbeads coated with anti-hCG monoclonal antibody, TRIS buffer containing bovine serum albumin (BSA), anti-hCG monoclonal antibody labeled with N-(4-Aminobutyl)-N-ethylisoluminol (ABEI), and 0.9% NaCl containing BSA diluent. Low and high calibrators consist of bovine serum and hCG antigen.
The Diazyme DZ-Lite 3000 Plus Analyzer is a microcomputer controlled, random and
2
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continuous access analyzer that includes an external computer. This computer stores the system user interface software and allows the operator to interface through a touch-screen monitor. The DZ-Lite 3000 Plus analyzer uses immunoassays that utilize magnetic particle solid phase and chemiluminescent detection for the quantitative, semi-quantitative, or qualitative determination of various analyte concentrations found in human body fluids.
# J. Substantial Equivalence Information:
1. Predicate device name(s):
Beckman Dxi Access Total $\beta$ hCG Assay
2. Predicate 510(k) number(s):
k130020
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device Diazyme DZ-Lite Total βhCG Test System | Predicate Beckman Dxi Access Total βhCG Assay k130020 |
| Intended Use | The Diazyme DZ-Lite Total βhCG Test System Assay is a chemiluminescent immunoassay intended for use for the quantitative determination of total beta-human chorionic gonadotropin (total βhCG) in human serum. The assay is intended for use as an aid in the early detection pregnancy. | Same |
| Type of Test | Quantitative | Same |
| Specimen Type | Serum | Serum and plasma |
| Technology | Sandwich Immunoassay | Same |
| Format | Chemiluminescent assay on closed system analyzer | Same |
| Method | Automated | Same |
| Calibration | Utilizes a stored calibration curve | Same |
| Standardization | WHO 5th International | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device
Diazyme DZ-Lite Total
βhCG Test System | Predicate
Beckman Dxi Access Total
βhCG Assay
k130020 |
| | Reference Standard, 07/364 | |
| Differences | | |
| --- | --- | --- |
| Item | Candidate Device
Diazyme DZ-Lite Total
βhCG Test System | Predicate
Beckman Dxi Access Total
βhCG Assay
k130020 |
| Assay Range | 2.8 - 5000 mIU/mL | 0.6 - 1350 mIU/mL |
| Calibrator Levels | Two levels | Six levels |
| Similarities/Differences | | |
| --- | --- | --- |
| Item | Candidate Device
DZ-Lite 3000 Plus
Chemiluminescence
Analyzer | Predicate
Beckman UniCel DxI 800
Access Immunoassay
System k023764 |
| Intended Use | The Diazyme DZ-Lite 3000
Plus Analyzer is a
microcomputer controlled,
random and continuous
access analyzer that
includes an external
computer. This computer
stores the system user
interface software and
allows the operator to
interface through a touch-screen monitor. The DZ-Lite 3000 Plus analyzer uses immunoassays that utilize magnetic particle solid phase and chemiluminescent detection for the quantitative, semi-quantitative, or qualitative determination of various analyte concentrations found in human body fluids. The DZ-Lite 3000 Plus analyzer is an in vitro diagnostic device for use in | Similar |
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| Similarities/Differences | | |
| --- | --- | --- |
| Item | Candidate Device
DZ-Lite 3000 Plus
Chemiluminescence Analyzer | Predicate
Beckman UniCel DxI 800
Access Immunoassay
System k023764 |
| | the clinical laboratory. | |
| Detection System | Chemiluminescent | Same |
| Principle of Operation | Chemiluminescence using magnetic particle solid phase and chemiluminescent tracer | Same |
| Sample Aspiration | Directly from sample tube in the sample bay of the analyzer | Same |
| Sample Identification | Bar-coded sample tubes read directly by the analyzer bar code reader | Same |
## K. Standard/Guidance Document Referenced (if applicable):
CLSI CA28-A3 Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory: Approved Guideline-Third Edition, 3rd Edition
CLSI EP5-A2 Evaluation of Precision Performance of Quantitative Measurement Methods-Approved Guideline-Second Edition, 2nd Edition
CLSI EP6-A Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline
CLSI EP7-A2 Interference Testing in Clinical Chemistry-Approved Guideline-Second Edition, 2nd Edition
CLSI EP09-A3 Measurement Procedure Comparison and Bias Estimation Using Patient Samples-Approved Guideline-Third Edition, 3rd Edition
CLSI EP17-A2 Evaluation of Detection Capability for Clinical Laboratory Measurement Procedures; Approved Guideline-Second Edition, 2nd Edition
## L. Test Principle:
The Diazyme DZ-Lite Total $\beta\mathrm{hCG}$ Test System is a sandwich chemiluminescence immunoassay. A specific mouse anti-hCG monoclonal antibody is coated on the magnetic beads; another monoclonal antibody is labeled with an isoluminol derivative.
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After addition of serum sample, calibrator, or controls to the microbead-antibody conjugate, the mixture is incubated at 37 °C allowing hCG present in samples, calibrator, or controls to bind to the monoclonal antibody on the bead. After a washing step, the isoluminol derivative labeled antibody conjugate reacts with hCG already bound to the magnetic beads to form sandwich complexes. After precipitation in a magnetic field and removal of the supernatant, another wash cycle is performed. Subsequently, the starter 1+2 is added to initiate a chemiluminescent reaction. The light signal is measured by a photomultiplier within 3 seconds as Relative Light Units, which is proportional to the concentration of total βhCG present in samples.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Precision studies were conducted using three lots of Diazyme DZ-Lite Total βhCG Test System reagent and two DZ-Lite 3000 Plus Chemiluminescence Analyzers. Six levels of pooled human serum specimens and three levels of hCG controls were tested on each analyzer for each lot of reagent. Samples and controls were tested with 2 runs per day, 2 replicates per run over 20 working days.
Results from multiple lots were similar on the two different analyzers. Results from the three lots on one representative analyzer are provided in the table below.
| Sample | Mean (N=240) | Within-Run | | Between-Run | | Between-day | | Between-Lot | | Total | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | SD | %CV | SD | %CV | SD | %CV | SD | %CV | SD | %CV |
| Serum 1 | 25.6 | 0.7 | 2.6% | 0.4 | 1.7% | 0.7 | 2.8% | 1.1 | 4.1% | 1.1 | 4.2% |
| Serum 2 | 57.4 | 1.5 | 2.6% | 0.7 | 1.3% | 1.5 | 2.6% | 2.0 | 3.6% | 2.2 | 3.9% |
| Serum 3 | 473.2 | 16.4 | 3.5% | 13.8 | 2.9% | 14.8 | 3.1% | 26.0 | 5.5% | 26.0 | 5.5% |
| Serum 4 | 1821.9 | 79.8 | 4.4% | 16.0 | 0.9% | 46.6 | 2.6% | 94.3 | 5.2% | 93.7 | 5.1% |
| Serum 5 | 2374.5 | 99.3 | 4.2% | 54.9 | 2.3% | 52.0 | 2.2% | 124.7 | 5.2% | 124.8 | 5.3% |
| Serum 6 | 4289.2 | 123.1 | 2.9% | 43.0 | 1.0% | 91.5 | 2.1% | 158.9 | 3.7% | 159.3 | 3.7% |
| Control 1 | 5.6 | 0.3 | 5.3% | 0.2 | 3.3% | 0.3 | 4.6% | 0.4 | 7.8% | 0.4 | 7.8% |
| Control 2 | 38.7 | 1.0 | 2.6% | 0.4 | 1.0% | 0.6 | 1.7% | 1.3 | 3.2% | 1.3 | 3.3% |
| Control 3 | 275.9 | 4.9 | 1.8% | 3.1 | 1.1% | 4.7 | 1.7% | 7.5 | 2.7% | 7.5 | 2.7% |
#### b. Linearity/assay reportable range:
High range linearity was established by preparing ten sample dilutions with concentrations from 0.3 - 5186.3 mIU/mL by mixing different proportions of a sample with a high hCG concentration with a normal serum sample without detectable hCG. The samples were tested with the Diazyme DZ-Lite Total βhCG Test System on two analyzers in triplicate with one lot of hCG reagent. The results for high range linearity are
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shown in the table below.
| Levels | Recovery | | | | Expected Recovery | Error | % Recovery |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | Rep 1 | Rep 2 | Rep 3 | Mean | | | |
| Level 0 | 0.3 | 0.1 | 0.1 | 0.1 | 0.0 | -0.1 | NA |
| Level 1 | 554.4 | 548.1 | 561.2 | 554.6 | 523.8 | -30.8 | 106% |
| Level 2 | 998.5 | 1030.4 | 1043.4 | 1024.1 | 1047.5 | 23.4 | 98% |
| Level 3 | 1624.2 | 1564.0 | 1639.0 | 1609.1 | 1571.3 | -37.8 | 102% |
| Level 4 | 1990.0 | 2012.3 | 2064.6 | 2022.3 | 2095.0 | 72.7 | 97% |
| Level 5 | 2688.6 | 2531.8 | 2719.8 | 2646.7 | 2618.8 | -28.0 | 101% |
| Level 6 | 2926.5 | 3135.4 | 3022.8 | 3028.2 | 3142.5 | 114.3 | 96% |
| Level 7 | 3747.8 | 3585.6 | 3761.3 | 3698.3 | 3666.3 | -32.0 | 101% |
| Level 8 | 3924.1 | 4158.2 | 4030.4 | 4037.6 | 4190.0 | 152.4 | 96% |
| Level 9 | 4791.5 | 4473.8 | 4375.7 | 4547.0 | 4713.8 | 166.8 | 96% |
| Level 10 | 5186.3 | 5258.1 | 5268.1 | 5237.5 | 5237.5 | 0 | 100% |
The expected values were plotted against the recovered hCG values. Linear regression gave the following equation:
$$
y = 0.9786x + 19.528, R^2 = 0.9984
$$
Mid-range linearity was established by preparing 11 sample dilutions with concentrations ranging from 0 - 541.6 mIU/mL by mixing different proportions of a sample with high hCG concentration with a sample with hCG-free serum. Samples were tested in triplicate.
| Levels | Recovery | | | | Expected Recovery | Error | % Recovery |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | Rep 1 | Rep 2 | Rep 3 | Mean | | | |
| Level 11 | 0 | 0 | 0 | 0 | 0.00 | 0.0 | 0.00% |
| Level 10 | 51.8 | 54.3 | 55.2 | 53.7 | 53.70 | 0.0 | 0.08% |
| Level 9 | 100.6 | 102.3 | 103.8 | 102.3 | 107.40 | -5.1 | -4.79% |
| Level 8 | 150.9 | 151.6 | 160.3 | 154.3 | 161.10 | -6.8 | -4.24% |
| Level 7 | 205.7 | 204.3 | 211.0 | 207.0 | 214.80 | -7.8 | -3.62% |
| Level 6 | 260.9 | 260.8 | 275.7 | 265.8 | 268.50 | -2.7 | -1.01% |
| Level 5 | 308.3 | 309.5 | 310.7 | 309.5 | 322.20 | -12.7 | -3.95% |
| Level 4 | 364.4 | 364.7 | 368.8 | 366.0 | 375.90 | -9.9 | -2.64% |
| Level 3 | 418.6 | 423.2 | 416.2 | 419.4 | 429.60 | -10.2 | -2.38% |
| Level 2 | 484.2 | 483.2 | 491.3 | 486.2 | 483.30 | 2.9 | 0.60% |
| Level 1 | 541.6 | 542.0 | 527.4 | 537.0 | 537.00 | 0.0 | 0.00% |
The expected and recovered hCG were plotted, and gave the following linear regression equation:
$$
y = 0.9975x - 4.083, R^2 = 0.992
$$
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Low range linearity was established by preparing 12 sample dilutions with concentrations ranging from 0.35 to 85.19 mIU/mL by mixing different proportions of a sample with high hCG concentration with a sample with low-level hCG. The samples were tested in triplicate. The data support an analytical measuring range of 2.8 - 5000 mIU/mL.
| Levels | Recovery | | | | Expected Recovery | Error | % Recovery |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | Rep 1 | Rep 2 | Rep 3 | Mean | | | |
| Level 1 | 0.35 | 0.33 | 0.45 | 0.38 | 0.40 | -0.02 | -5.00% |
| Level 2 | 3.71 | 3.73 | 3.58 | 3.67 | 4.37 | -0.70 | -15.93% |
| Level 3 | 8.11 | 7.88 | 8.23 | 8.07 | 8.73 | -0.66 | -7.57% |
| Level 4 | 17.06 | 16.51 | 14.97 | 16.17 | 17.46 | -1.29 | -7.40% |
| Level 5 | 26.23 | 27.93 | 25.35 | 26.51 | 26.19 | 0.32 | 1.21% |
| Level 6 | 34.90 | 35.01 | 35.03 | 34.98 | 34.92 | 0.06 | 0.16% |
| Level 7 | 41.03 | 43.46 | 43.72 | 42.74 | 43.65 | -0.91 | -2.09% |
| Level 8 | 51.76 | 53.68 | 54.46 | 53.30 | 52.38 | 0.92 | 1.75% |
| Level 9 | 61.15 | 62.93 | 60.84 | 61.64 | 61.11 | 0.53 | 0.86% |
| Level 10 | 69.24 | 70.24 | 68.42 | 69.30 | 69.85 | -0.55 | -0.78% |
| Level 11 | 80.79 | 81.71 | 79.52 | 80.67 | 78.58 | 2.09 | 2.66% |
| Level 12 | 85.19 | 90.46 | 84.48 | 86.70 | 87.71 | -1.01 | -1.15% |
The expected and recovered hCG were plotted, and gave the following linear regression equation:
$$
y = 1.0109x - 0.5423, R^2 = 0.9991
$$
## On-board Dilution Recovery
Verification studies were performed to determine the sample recovery after a 1:10 dilution is performed automatically by the DZ-Lite 3000 Plus Chemiluminescence Analyzer. Seven serum samples with beta-hCG concentrations between 5,000 and 50,000 mIU/mL as determined by the predicate device were tested with the Diazyme DZ-Lite Total βhCG Test System reagent using the automatic 1:10 dilution of the analyzer and two lots of reagents. The percent differences for the diluted specimen versus the expected concentration were within 10%. The dilution study results support the sponsor's labeling claims that samples with beta-hCG above 5,000 mIU/mL may be diluted 1:10 on-board the analyzer to obtain results up to 50,000 mIU/mL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
## Traceability:
The calibrators for the Diazyme DZ-Lite Total βhCG Test System are traceable to WHO hCG 5th International Standard 07/364.
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# Stability:
Stability protocols and acceptance criteria for accelerated, real-time, and on-board studies for the reagent were reviewed and found to be acceptable. The results support the reagent shelf life of 18 months when stored at $2 - 8^{\circ}\mathrm{C}$ .
# d. Detection limit:
# Limit of blank:
The limit of blank was determined by running 60 replicates of blank samples with three lots of Diazyme DZ-Lite Total $\beta$ hCG Test System reagent over at least 3 days on one DZ-Lite 3000 Plus analyzer. The limit of blank was calculated as the mean of the 57th and 58th ranked values. The highest value of the three lots was the limit of blank. The limit of blank was determined to be $0.307\mathrm{mIU / mL}$ .
# Limit of detection:
Low hCG concentration samples were prepared from five serum samples diluted with a normal serum pool without detectable hCG. These samples were tested with three lots of Diazyme DZ-Lite Total $\beta$ hCG Test System reagent on the DZ-Lite 3000 Plus in three runs with four replicates per run over three days. The LOD was calculated as the LOB + (1.645 * (SD of LOD samples)) for each lot tested. The LOD was assigned based on the highest value of hCG for the three reagent lots, and was determined to be $0.615\mathrm{mIU / mL}$ .
# Limit of quantitation:
Five serum samples were diluted with hCG negative serum samples to target concentrations of 0.5, 2, 4, 6.5, and $8\mathrm{mIU / mL}$ . The diluted serum samples were tested with three lots of Diazyme DZ-Lite Total $\beta$ hCG Test System reagent on the DZ-Lite 3000 Plus Chemiluminescence Analyzer with 12 replicates per run over three days. The assay LOQ claimed by the sponsor is $1.5\mathrm{mIU / mL}$ based on total error goals of bias at $15.5\%$ and CV of $12.3\%$ .
# e. Analytical specificity:
Serum pools containing hCG concentrations of approximately 5, 60, 200, and 400 $\mathrm{mIU / mL}$ were spiked with various endogenous substances and therapeutic drugs, and tested in triplicate. No significant interference $(< \pm 10\%)$ was observed up to the concentrations summarized below.
| Interferent | Concentration |
| --- | --- |
| Ascorbic Acid | 20 mg/dL |
| Bilirubin | 20 mg/dL |
| Bilirubin Conjugated | 20 mg/dL |
| Hemoglobin | 1000 mg/dL |
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| Rheumatoid Factor | 200 IU/mL |
| --- | --- |
| Triglycerides | 3000 mg/dL |
| Luteinizing Hormone | 250,000 mIU/L |
| Follicle-Stimulating Hormone | 500,000 mIU/L |
| Human Growth Hormone | 100 ng/mL |
| Thyroid-Stimulating Hormone | 200 mIU/L |
| Acetaminophen | 20 mg/dL |
| Acetylsalicylic Acid | 20 mg/dL |
| Atropine | 20 mg/dL |
| Caffeine | 20 mg/dL |
| EDTA | 80 mg/dL |
| Ethanol | 1% |
| Gentisic Acid | 20 mg/dL |
| Glucose | 2000 mg/dL |
| Salicylic Acid | 20 mg/dL |
# Hook effect:
Samples with hCG concentrations up to 1.5 million mIU/mL was prepared by spiking human beta hCG antigen to a pool of normal human serum, and were tested with the candidate Diazyme DZ-Lite Total $\beta$ hCG Test System. No evidence of a high dose hook effect was observed in the study for hCG concentrations up to 1.5 million mIU/mL.
# f. Assay cut-off:
Not applicable; this is a quantitative assay.
# 2. Comparison studies:
# a. Method comparison with predicate device:
A total of 142 serum samples tested in singlet were performed with the candidate Diazyme DZ-Lite Total $\beta$ hCG Test System and the predicate Beckman Access Total hCG assay (k130020). The sample values ranged from 5.2 - 5394 mIU/mL on the predicate device, and 5.2 - 4652 mIU/mL on the candidate device. The results are summarized in the table below.
| Parameter | Deming Regression |
| --- | --- |
| n | 142 |
| Slope | 0.939 |
| 95% CI | 0.912 to 0.965 |
| Intercept | -18.53 |
| 95% CI | -78.83 to 41.77 |
| Correlation Coefficient(R2) | 0.9718 |
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b. Matrix comparison:
Not applicable.
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:
Not applicable.
5. Expected values/Reference range:
Serum samples from 135 apparently healthy, non-pregnant women ≤ age 50, and 139 healthy women over age 50 were used. The reference interval was calculated using the nonparametric method according to CLSI C28-A3, and was determined to be 0.05 - 0.85 mIU/mL for women ≤ age 50, and 0.1 - 4.4 mIU/mL for women over age 50.
N. Instrument Name:
Diazyme DZ-Lite 3000 Plus Chemiluminescence Analyzer
O. System Descriptions:
1. Modes of Operation:
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?
Yes ☐ X ☐ or No ☐
11
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Does the applicant's device transmit data to a computer, webserver, or mobile device using wireless transmission?
Yes _______ or No ☐ X
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X or No
3. Specimen Identification:
Specimens that are labeled with a barcode will be scanned in automatically when placed into the sample area. If the samples that are being used do not have an associated barcode, then sample ID's must be manually entered into the user software.
4. Specimen Sampling and Handling:
The DZ-Lite Total βhCG assay is for use with serum samples.
5. Calibration:
The Diazyme DZ-Lite Total βhCG Test System on DZ-Lite 3000 Plus Chemiluminescence Analyzer utilizes a RFID card that is preprogrammed with a reagent lot specific master curve and is supplied with each kit. The master curve consists of ten levels of concentration points. The mean reactive light units at each level with corresponding hCG concentration are used to make the Diazyme DZ-Lite Total βhCG Test System master curve. When RFID card is scanned with the RFID scanner imbedded in the DZ-Lite 3000 Plus Chemiluminescence Analyzer, the lot specific master calibration curve is automatically utilized for the assay test. RFID cards are programmed at the manufacturer site. The assay lot specific master calibration curve is generated by experimental data. The master calibrators are traceable to WHO hCG 5th International standard 07/364.
Two levels of calibrator are also included in each kit. Via measurement of two levels of the working calibrators, the predefined master curve in the RFID card is adjusted to a new lot-specific working curve for calculation of hCG concentrations in the specimens.
6. Quality Control:
Quality control can be performed using Diazyme DZ-Lite hCG controls. Controls should be run at least once per day, once per kit, and after calibration. Control intervals should be adjusted to match each individual laboratory's requirements. Values should fall within established ranges and if not, laboratories should establish guidelines corrective
12
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measures.
## P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
The software documentations were reviewed and found to be acceptable. The firm provided documentation to support the devices were designed, developed, and remain under good software lifecycle processes.
## Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
## R. Conclusion:
1. The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.