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510(k) Data Aggregation

    K Number
    K222888
    Manufacturer
    Date Cleared
    2023-08-11

    (322 days)

    Product Code
    Regulation Number
    862.1358
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    BlueStar CGM insulin dose calculator

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The BlueStar® CGM insulin dose calculator is software intended for the management of type 1 or type 2 diabetes in persons aged 18 years and older requiring fast-acting insulin. The BlueStar CGM insulin dose calculator allows patients to calculate a dose of bolus insulin for a given amount of carbohydrates, the most recent CGM glucose reading and rate of change, activity, and, optionally, insulin on board (IOB). The BlueStar CGM insulin dose calculator requires a prescription.

    Device Description

    The BlueStar® CGM insulin dose calculator is a software device module existing in the same mobile medical application as BlueStar® Rx (K203434), which is intended for the management of diabetes. When connected to a compatible integrated continuous glucose monitor (iCGM) and under authorization from a qualified healthcare provider, the BlueStar CGM insulin dose calculator allows patients to calculate a dose of bolus insulin for a given amount of carbohydrates, the most recent iCGM glucose reading and its rate of change, activity, and, optionally, insulin on board (IOB). Other patient-specific inputs from BlueStar Rx are used in the calculation of the recommended dose- specifically, duration of insulin to carb ratio, correction factor, and target glucose. In addition to calculating specific dosing recommendations, the BlueStar CGM insulin dose calculator also provides coaching messages to assist the user in maintaining glucose within the target range.

    The use of CGM inputs differentiates the BlueStar CGM insulin dose calculator from the insulin dose calculator included in the previously cleared BlueStar Rx, which uses blood glucose (BG) values from a BG meter using a "fingerstick" method. The CGM insulin dose calculator is intended to coexist with the BG insulin calculator function in the BlueStar Rx software application as the BG calculation may be necessary when CGM is unavailable or the CGM estimated blood glucose does not match how the user feels.

    AI/ML Overview

    Here's the information about the acceptance criteria and the study that proves the device meets them, based on the provided text:

    1. A table of acceptance criteria and the reported device performance

    The document does not explicitly present a table of acceptance criteria with specific numerical targets. However, the primary clinical endpoint serves as the de facto acceptance criterion for efficacy, while safety measures address other key concerns.

    Acceptance Criteria (Inferred)Reported Device Performance
    Efficacy: Mean CGM Time in Range (TIR) when using the BlueStar® CGM insulin dose calculator is not inferior to baseline TIR (percentage of time spent between 70 and 180 mg/dL).The statistical analysis of the study data showed that the mean TIR when using BlueStar® with the CGM insulin dose calculator is not inferior to the baseline mean TIR prior to using the device.
    Safety: No increase in time spent in hypoglycemia (glucose below 70 mg/dL).There was no increase in time spent with glucose below 70 mg/dL.
    Safety: No increase in time spent in severe hypoglycemia (glucose below 54 mg/dL).There was no increase in time spent with glucose below 54 mg/dL in the subject populations.
    Safety: Acceptable adverse events profile, including hypoglycemic events.Adverse events including hypoglycemic events were recorded. (The document states they were recorded, and the conclusion mentions "These data support the safety of the Bluestar CGM insulin dose calculator," implying an acceptable safety profile, though specific numbers are not provided in this summary.)

    2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    • Sample Size for Test Set: 27 adult subjects.
    • Data Provenance: The document does not specify the country of origin of the data. The study was prospective as data was "collected for each subject for 30 days while using the BlueStar mobile app with the CGM insulin dose calculator."

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

    The document does not mention the use of experts to establish ground truth for the test set. The ground truth was established by the CGM data itself, as it measured glucose time in range.

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

    The document does not describe any adjudication method for the test set.

    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

    No, an MRMC comparative effectiveness study was not done. The study focused on the effectiveness of the device (BlueStar® CGM insulin dose calculator) in improving or maintaining Time in Range compared to baseline, rather than comparing human reader performance with and without AI assistance.

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

    Yes, the clinical study assessed the performance of the "BlueStar mobile app with the CGM insulin dose calculator" as used by the subjects. While patients are "human-in-the-loop" by entering carbohydrates, accepting recommendations, and performing activities, the primary performance metric (TIR) evaluates the algorithm's impact on glucose management, implying a standalone assessment of its functional impact when integrated into patient self-management. The device itself is software that calculates a dose, so the clinical study assesses the impact of these calculations on patient outcomes.

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

    The ground truth used was outcomes data, specifically CGM glucose time in range (TIR) and time spent in hypoglycemia, measured directly from Continuous Glucose Monitoring (CGM) devices.

    8. The sample size for the training set

    The document does not provide information about a separate training set or its sample size. The clinical study described appears to be a validation study.

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

    Since information about a training set is not provided, how its ground truth was established is also not available in this document.

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