K Number
K033610
Date Cleared
2003-12-05

(18 days)

Product Code
Regulation Number
862.1475
Panel
CH
Reference & Predicate Devices
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

HDL-C plus 2nd generation is an enzymatic in-vitro assay for the direct quantitative determination of high-density lipoprotein cholesterol (HDL-C) in human serum and plasma on automated clinical chemistry analyzers.

Lipoprotein measurements are used in the diagnosis and treatment of lipid disorders (such as diabetes mellitus), atherosclerosis, and various liver and renal diseases.

Device Description

The HDL-Cholesterol plus 2nd Generation test principle uses magnesium sulfate and dextran sulfate to form water-soluble complexes with LDL, VLDL, and chylomicrons which are resistant to PEG-modified enzymes. The cholesterol concentration of HDL-cholesterol is determined enzymatically by cholesterol esterase and cholesterol oxidase coupled with PEG. The color intensity of the blue quinoneimine dye formed is directly proportional to the HDL-cholesterol concentration and is measured photometrically.

AI/ML Overview

This is a 510(k) summary for a medical device, which generally does not include the detailed study design elements you've requested (such as sample size, ground truth establishment methods, or expert qualifications for test/training sets). The primary purpose of a 510(k) summary is to demonstrate "substantial equivalence" to a predicate device, focusing on performance characteristics and how they compare.

However, I can extract the information that is present and provide a table for acceptance criteria and device performance based on the available text.

Here's a breakdown of the available information:

1. Table of Acceptance Criteria and Reported Device Performance

The 510(k) summary does not explicitly state "acceptance criteria" in a quantitative manner for specific performance metrics like accuracy, sensitivity, or specificity. Instead, it describes key performance characteristics and compares them to the predicate device, implying that meeting or being comparable to the predicate's performance is the implicit acceptance criterion for substantial equivalence.

Performance CharacteristicPredicate Device (HDL-C plus - K000568) (Implicit Acceptance Criteria)Modified Device (HDL-Cholesterol plus 2nd generation) (Reported Device Performance)
Intended UseFor the direct quantitative determination of high-density lipoprotein cholesterol (HDL-cholesterol) in serum and plasma.HDL-C plus 2nd generation is an enzymatic in-vitro assay for the direct quantitative determination of high-density lipoprotein cholesterol (HDL-C) in human serum and plasma on automated clinical chemistry analyzers.
MethodHomogeneous enzymatic colorimetricSame
Sample typeSerum, Li-, Na-Heparin plasma, EDTA plasmaSerum, Li-, Na-, NH4- Heparin plasma, EDTA plasma
Measuring range3 - 120 mg/dlSame
Formulation R1Sulfated alpha-cyclodextrin, dextran sulfate, magnesium chloride, HSDA, ascorbate oxidase (Acremonium), peroxidase (horseradish), MOPS buffer, preservativeDextran sulfate, magnesium sulfate heptahydrate, HSDA, ascorbate oxidase (Eupenicillium sp., recombinant), peroxidase (horseradish), MOPS buffer, preservative
Formulation R2PEG cholesterol esterase (Pseudomonas), PEG cholesterol oxidase (Pseudomonas), peroxidase (horseradish), 4-aminophenazone, PIPES buffer, preservativePEG cholesterol esterase (Pseudomonas), PEG cholesterol oxidase (Streptomyces sp., recombinant) peroxidase (horseradish), 4-amino-antipyrine, PIPES buffer, preservative

Notes on Acceptance Criteria: The primary acceptance criterion for a 510(k) is "substantial equivalence" to a predicate device. This means the new device must be as safe and effective as the predicate. In this context, "performance" refers to demonstrating that the modified device functions comparably in its intended use, measuring range, method, and sample types, despite minor formulation changes. The NCEP guidelines for expected values are provided as context for interpretation, not as a direct performance metric for the device itself.

2. Sample size used for the test set and the data provenance:

  • The 510(k) summary does not provide details on sample sizes for any test sets.
  • Data provenance is not explicitly mentioned, but given it's a product from Roche Diagnostics Corporation (Indianapolis, IN, USA), it's highly probable that the studies were conducted in the US. The summary does not specify if data was retrospective or prospective.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts:

  • This information is not provided in the 510(k) summary. For an in-vitro diagnostic (IVD) like an HDL-Cholesterol assay, ground truth is typically established by reference methods or validated laboratory measurements, not by expert interpretation in the same way as, for example, a medical imaging device. However, the document does not detail how "ground truth" (i.e., true HDL-C values for comparison) was established for any validation studies.

4. Adjudication method (e.g., 2+1, 3+1, none) for the test set:

  • This information is not applicable or provided. Adjudication methods are typically used in studies involving subjective interpretation (e.g., image reading by multiple experts). For a quantitative IVD, the "adjudication" would be based on the objective comparison of the device's results to a reference method.

5. If a multi-reader multi-case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance:

  • This information is not applicable or provided. MRMC studies are specific to devices that assist human readers (e.g., AI-powered diagnostic software). This device is a direct quantitative assay, not an assistive reading device.

6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done:

  • This device, an enzymatic in-vitro assay, inherently functions as a "standalone" measurement system. It directly produces a quantitative result (HDL-C concentration) without requiring human interpretation beyond standard laboratory procedures and clinical context. The entire device's performance would be considered standalone.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.):

  • The 510(k) summary does not explicitly state the type of ground truth used for performance comparison. For quantitative IVDs, ground truth is usually established using:
    • Reference methods: Highly accurate and precise laboratory methods, often more complex or expensive than routine assays.
    • Calibrators and controls: Materials with known and certified concentrations of the analyte.
    • Patient samples compared against the predicate device or a clinical gold standard.

8. The sample size for the training set:

  • This information is not provided and is generally not applicable in the context of an enzymatic chemical assay. These assays rely on validated chemical reactions, not machine learning algorithms that require "training sets" in the conventional sense.

9. How the ground truth for the training set was established:

  • This information is not provided and not applicable as there is no "training set" in the context of this type of enzymatic assay.

§ 862.1475 Lipoprotein test system.

(a)
Identification. A lipoprotein test system is a device intended to measure lipoprotein in serum and plasma. Lipoprotein measurements are used in the diagnosis and treatment of lipid disorders (such as diabetes mellitus), atherosclerosis, and various liver and renal diseases.(b)
Classification. Class I (general controls). The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to § 862.9.