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For the quantitative in vitro determination of HDL Cholesterol in serum and plasma. Such measurements are used in the diagnosis and treatment of lipid disorders (such as diabetes mellitus), atherosclerosis and renal diseases and for the assessment for the risk of developing cardiovascular disease.

This in vitro diagnostic device is intended for Rx Only.

The Direct HDL Cholesterol (HDL) kit assay consists of ready to use reagent solutions.

CATALOGUE NUMBER: CH8311

R1. Enzyme Reagent 1 4 x 20 ml
R2. Enzyme Reagent 2 4 x 9 ml

REAGENT COMPOSITION

R1. Enzyme Reagent 1 N,N-Bis(2-hydroxyethyl)- 2-aminoethanesulfonic acid N-(2-hydroxy-3-Sulfopropyl)- 3,5-dimethoxyaniline, sodium salt (HDAOS) Cholesterol Esterase [E.C.3.1.1.13. Microorganism] Cholesterol Oxidase [E.C.1.1.3.6. Streptomyces sp] Catalase [E.C.1.11.1.6. Microbial] Ascorbate oxidase [EC.1.10.3.3. Acremonium sp.] Initial Concentration of Solution 100 mM, pH 6.6 (+25 °C) 0.7 mM ≥800 U/L ≥500 U/L ≥300 KU/L ≥3000 U/L
R2. Enzyme Reagent 2 N,N-Bis(2-hydroxyethyl)- 2-aminoethanesulfonic acid 4-Aminoantipyrine Peroxidase [E.C.1.11.1.7, Horse Radish, +25°C] Sodium Azide Surfactants Initial Concentration of Solution 100 mM, pH 7.0 (+25 °C) 4.0 mM ≥3500 U/L 0.05 w/v % 1.4 % w/v %

This looks like a 510(k) summary for an in vitro diagnostic (IVD) device, specifically for a Direct HDL Cholesterol (HDL) test system. Since IVD devices, especially Class I, do not typically involve AI or machine learning components as described in the prompt's questions, many of the requested fields (such as "number of experts used to establish ground truth", "adjudication method", "MRMC study", "standalone performance", "training set size", and "how ground truth for training set was established") are not applicable.

However, I can extract the relevant information regarding acceptance criteria and performance from the document.

1. Table of Acceptance Criteria and Reported Device Performance:

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

• Precision/Reproducibility:
  • Control material and human serum samples: 80 determinations per control level/serum pool (2 replicates/run x 2 runs/day x 20 days).
  • Provenance: "unaltered human serum samples" and "control material." The documentation does not specify the country of origin of the human serum samples. The study design (testing over 20 non-consecutive days) suggests it's a prospective study for data collection, but the samples themselves could be retrospective.
• Linearity/Reportable Range:
  • Samples: 11 levels, each run in replicates of five.
  • Provenance: Low and high serum pool samples. Not specified for country of origin or retrospective/prospective.
• Detection Limit:
  • Samples: 240 determinations (4 low-level samples) for LoD.
  • Provenance: Not specified for country of origin or retrospective/prospective.
• Analytical Specificity (Interference):
  • Samples: Spiked samples at 34.8 mg/dL and 70 mg/dL HDL Cholesterol concentrations. The number of individual samples is not explicitly stated.
  • Provenance: Not specified for country of origin or retrospective/prospective.
• Method Comparison:
  • Patient Samples: 103 serum patient samples.
  • Provenance: Not specified for country of origin or retrospective/prospective.
• Matrix Comparison:
  • Patient Samples: 45 matched patient sample pairs (serum and lithium heparin plasma).
  • Provenance: Not specified for country of origin or retrospective/prospective.

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

• Not applicable as this is an in vitro diagnostic (IVD) device for quantitative biochemical analysis, not an AI/image-based diagnostic device requiring expert interpretation for ground truth. Ground truth is typically established by reference methods or validated laboratory measurements.

4. Adjudication Method for the Test Set:

• Not applicable for this type of IVD device.

5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done, and the Effect Size of How Much Human Readers Improve with AI vs. Without AI Assistance:

• Not applicable as this is an IVD device, not an AI-assisted diagnostic system involving human readers.

6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done:

• This device is a standalone in the sense that its performance characteristics (precision, linearity, interference, method comparison) are evaluated for the device itself as an assay system. There is no "algorithm only" vs. "human-in-the-loop" distinction because it's a quantitative chemical assay.

7. The Type of Ground Truth Used:

• For precision, linearity, and detection limit: The "ground truth" is implied to be the actual concentration of HDL Cholesterol, which is determined by the preparation of controls, spiked samples, and dilutions, or by the inherent properties of the samples themselves, and measured by the device and predicate.
• For analytical specificity (interference): The ground truth is the presence/absence of interferents at specific concentrations and their impact on the HDL measurement.
• For method comparison: The "ground truth" for comparison is the measurement obtained from the predicate device (Randox Laboratories Ltd, Direct HDL Cholesterol reagent, K982341). This represents a legally marketed device against which equivalence is demonstrated.
• For matrix comparison: The ground truth for comparison is the measurement obtained from serum samples when comparing to plasma samples.

8. The Sample Size for the Training Set:

• Not applicable in the context of machine learning/AI where "training set" has a specific meaning. For an IVD, the development and optimization of the reagent formulation and assay parameters would be an analogous "training" phase, but it doesn't involve a distinct "training set" of patient data in the AI sense.

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

• Not applicable for the same reasons as above. The "ground truth" for developing the assay itself would be established through chemical principles, optimization experiments, and validation against known standards and reference materials.

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