K Number
K063766
Manufacturer
Date Cleared
2007-04-23

(124 days)

Product Code
Regulation Number
866.5880
Panel
IM
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

Good Biotech Corp. Transferrin test system is intended to be used for the quantitative determination of transferrin in human serum by turbidimetric immunoassay (TIA). Measurement of transferrin levels aids in the diagnosis of malnutrition, acute inflammation, infection, and red blood cell disorders, such as iron deficiency anemia.

Good Biotech Corp. Transferrin Calibrator Set is intended to be used with Transferrin TIA for the quantitative determination of transferrin in serum samples.

Good Biotech Corp. Transferrin Controls are intended to be used as the assayed quality control material for transferrin analysis.

For In Vitro Diagnostic Use.

Device Description

Good Biotech Corp. Transferrin TIA is a ready to use reagent for the quantitative determination of transferrin in human serum by turbidimetric immunoassay (TIA). When transferrin of the serum sample encounters with duck anti-transferrin antibody, the aqqlutination based on the antigen-antibody reaction increases the turbidity of the sample. The value of the absorbance change at 505 nm is proportional to the transferrin concentration of the sample and is recorded by a general chemistry autoanalyzer. Then, the actual transferrin concentration of the serum sample is determined by interpolation of the calibration curve obtained by standard samples with known transferrin concentrations.

AI/ML Overview

Here's an analysis of the acceptance criteria and study details based on the provided text:

1. Table of Acceptance Criteria and Reported Device Performance

The submission does not explicitly state pre-defined acceptance criteria in terms of specific numeric thresholds for slope, intercept, and correlation coefficient. Instead, it relies on a "high correlation coefficient" as an indicator of substantial equivalence. The predicate device's performance characteristics (slope, intercept, correlation coefficient) likely serve as an implicit benchmark for "high correlation."

MetricAcceptance Criteria (Implicit from Predicate/General Expectation for Substantial Equivalence)Reported Device Performance
SlopeClose to 1.0 (indicating similar proportionality)0.927
Intercept (mg/dL)Close to 0.0 (indicating similar baseline/bias)19.784
Correlation CoefficientHigh (e.g., >0.95 or >0.90, indicating strong linear relationship)0.992

2. Sample Size Used for the Test Set and Data Provenance

  • Sample Size: 82 serum samples
  • Data Provenance: The document does not explicitly state the country of origin or whether the data was retrospective or prospective. It only mentions "serum samples."

3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

This type of information is generally not applicable to this kind of diagnostic device (immunoassay). The "truth" for the test set is established by the measurements obtained from the predicate device, which is an already legally marketed and validated assay. No human experts are used to interpret the results or establish "ground truth" in the way they would for imaging or clinical diagnosis.

4. Adjudication Method for the Test Set

Not applicable. The comparison is between two quantitative assays, not subjective interpretations requiring adjudication.

5. Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study

No, an MRMC comparative effectiveness study was not done. This type of study is relevant for devices that involve human interpretation, such as imaging AI, where the impact of AI assistance on human reader performance is evaluated. This submission is for a quantitative immunoassay.

6. Standalone (i.e., algorithm only without human-in-the-loop performance) Study

Yes, a standalone study was performed. The device's performance was compared directly against the predicate device without human intervention or interpretation as part of the primary measurement. The "algorithm" here refers to the immunoassay's ability to quantitatively determine transferrin levels.

7. Type of Ground Truth Used

The "ground truth" in this context is the quantitative determination of transferrin levels by the predicate device (Roche Tina-quant Transferrin ver.2). This is a common approach for establishing substantial equivalence for new diagnostic assays, where a well-established and legally marketed device serves as the reference standard.

8. Sample Size for the Training Set

The document does not specify a training set. This is a pre-market submission for an immunoassay, not a machine learning algorithm that typically requires a distinct training and test set in the same way. The development and optimization of the immunoassay reagents and methodology would have been an iterative process by the manufacturer, but the term "training set" as commonly applied to AI/ML is not relevant here. The studies described are for validation/testing.

9. How the Ground Truth for the Training Set Was Established

As no training set (in the AI/ML sense) is explicitly mentioned, this question is not directly applicable. The "ground truth" for the comparative performance study was established by the predicate device's measurements.

§ 866.5880 Transferrin immunological test system.

(a)
Identification. A transferrin immunological test system is a device that consists of the reagents used to measure by immunochemical techniques the transferrin (an iron-binding and transporting serum protein) in serum, plasma, and other body fluids. Measurement of transferrin levels aids in the diagnosis of malnutrition, acute inflammation, infection, and red blood cell disorders, such as iron deficiency anemia.(b)
Classification. Class II (performance standards).