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510(k) Data Aggregation

    K Number
    K160365
    Manufacturer
    Date Cleared
    2016-09-28

    (232 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K132930

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

    The BLE Smart Blood Glucose Monitoring System is intended for the quantitative measurement of glucose (sugar) in fresh capillary whole blood from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and thigh. The BLE Smart Blood Glucose Monitoring System is intended to be used by a single patient and should not be shared. The BLE Smart Blood Glucose Monitoring System is intended for testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. It should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly).

    The BLE Smart Blood Glucose Test Strips are for use with the BLE Smart Meter to quantitatively measure glucose in fresh capillary whole blood. Fresh capillary whole blood samples may be drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and thigh.

    The BLE Smart Blood Glucose Control Solutions are for use with the BLE Smart Blood Glucose Monitoring System to check that the meter and test strips are working together properly and the test is performing correctly.

    The BLE Smart Professional Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in capillary whole blood from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and thigh and in venous whole blood. The BLE Smart Professional Blood Glucose Monitoring System is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in professional healthcare settings as an aid to monitor the effectiveness of diabetes control program. This system should only be used with auto-disabling, single-use lancing devices. The BLE Smart Professional Blood Glucose Monitoring System should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady - state times (when glucose is not changing rapidly). The BLE Smart Professional Blood Glucose Test Strips are for use with the BLE Smart Professional Meter to quantitatively measure glucose in venous whole blood samples and fresh capillary whole blood samples drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh.

    The BLE Smart Professional Blood Glucose Control Solutions are for use with the BLE Smart Professional Blood Glucose Monitoring System to check that the meter and test strips are working together properly and that the test is performing correctly.

    Device Description

    BLE Smart Blood Glucose Monitoring System / BLE Smart Professional Blood Glucose Monitoring System consist of a meter, test strips, and control solutions (Level 1, Level 2 and level 3). These blood glucose test systems are an in vitro diagnostic device designed for measuring the concentration of glucose in blood by means of an electrical current produced in the test strip and sent to the meter for measurement.

    AI/ML Overview

    Here's an analysis of the provided text regarding the acceptance criteria and study for the BLE Smart Blood Glucose Monitoring System, structured as requested:

    1. Table of Acceptance Criteria and Reported Device Performance

    The FDA 510(k) summary (K160365) does not explicitly list quantitative acceptance criteria in a table format. However, it states that:

    • "The device passed all of the tests based on pre-determined Pass/Fail criteria."
    • "The conclusion drawn from the verification/validation activities is that the subject devices is substantially equivalent to the predicated [sic] device."

    This implies that some performance metrics, likely related to glucose measurement accuracy, precision, and safety, were evaluated and met the pre-defined criteria. The predicate device (K130181, GluNEO™ Blood Glucose Monitoring System) would have had its own set of performance criteria, and the new device is deemed substantially equivalent.

    For a blood glucose monitoring system, common performance metrics and their typical acceptance criteria (based on ISO 15197 or similar standards) would include:

    Acceptance Criteria CategoryTypical Acceptance Criteria (e.g., ISO 15197)Reported Device Performance (Implied)
    Accuracy (System Accuracy)For glucose concentrations
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    K Number
    K143169
    Date Cleared
    2016-01-08

    (430 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K132930

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

    The MyGlucoHealth Wireless System is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of glucose control. The system is comprised of the MyGlucoHealth Wireless Meter, MyGlucoHealth Control Solutions and MyGlucoHealth Wireless Test Strip. The system is intended to be used for the quantitative measurement of glucose (sugar) in whole blood samples drawn from the fingertip, ventral palm, hand,upper arm, forearm, calf and/or thigh. The MyGlucoHealth Wireless Meter is intended to be used by a single patient and should not be shared. The MyGlucoHealth Wireless System is not to be used for the diagnosis of or screening for diabetes or for neonatal use. Alternate site testing should be done during steady-state times (when glucose is not changing rapidly).

    Device Description

    The MyGlucoHealth Wireless System comprised of the MyGlucoHealth Wireless Meter, MyGlucoHealth Control Solutions and MyGlucoHealth Wireless Test Strip. The MyGlucoHealth Wireless Meter is different from the MyGlucoHealth Blood Glucose Meter (MGH-BT1) only by the way the glucose data is transferred to the data repository. An embedded cellular module within the meter enables Wireless communication between the meter and the Entra Health Systems remote database called MyHealthPoint TeleHealth Manager (K132930).

    The test strip (proprietary to the MyGlucoHealth Wireless Meter) is used only with the MyGlucoHealth Wireless Meter. It is for the quantitative measurement of the concentration of glucose in whole blood that can be taken from the fingertip, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh by diabetic patients or health care professionals. The results obtained are plasma calibrated to allow for easy comparison to the laboratory method. The MyGlucoHealth Wireless System is not to be used for the diagnosis of diabetes or for neonatal use. Alternate site testing should be done during steady-state times when glucose is not changing rapidly.

    AI/ML Overview

    Here's a breakdown of the acceptance criteria and the study information for the MyGlucoHealth Wireless System, based on the provided FDA 510(k) summary:

    Acceptance Criteria and Device Performance

    The provided document refers to the ISO 15197:2003 standard, which outlines requirements for blood glucose monitoring systems. While the specific numerical acceptance criteria from this standard are not explicitly listed in detail within the summary, the summary states that "All testing demonstrated the safety and effectiveness of the MyGlucoHealth Wireless Meter and substantial equivalence to the predicate."

    A key aspect of performance for blood glucose monitoring systems is accuracy. Although a detailed table of performance against specific accuracy thresholds (e.g., within X% of a reference method) is not present in this summary, the substantial equivalence claim implies that its performance is comparable to the predicate device, which would have met such criteria.

    Note: For a complete understanding of the device's accuracy against ISO 15197:2003, one would typically need to refer to the full test report or the specific performance data submitted with the 510(k) application, which is not fully included here. However, the mention of the standard indicates the type of criteria the device aims to meet.

    Acceptance Criteria Category (Implied by ISO 15197:2003, and by "substantial equivalence")Reported Device Performance (Summary)
    Accuracy of glucose measurement (within defined limits)Demonstrated "safety and effectiveness" and "substantial equivalence to the predicate."
    Repeatability/PrecisionImplied to meet acceptable standards for blood glucose meters.
    Interference with common substancesImplied to meet acceptable standards for blood glucose meters.
    System operating conditions (temperature, humidity)Meets specified operating range: 10-40°C (50-104°F), 10-90% humidity.
    Hematocrit range20-60%
    Test range10-600 Mg/dL
    Test time3 seconds
    Sample Volume0.3 uL
    Cleaning and Disinfection Robustness (for re-use)No change in functional performance or visual materials after 156 cleaning/disinfection cycles (simulating 3 years of use).
    Disinfection Efficacy against pathogensDemonstrated complete inactivation of duck hepatitis B virus with Caviwipes XL.

    Study Information

    The document describes non-clinical testing and clinical testing.

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

    • Non-Clinical Testing:
      • Cleaning Validation Test (Robustness): 3 different meters were tested.
      • Cleaning Validation Test (Efficacy): The sample size for materials tested for disinfection efficacy is not specified, but it was performed by an outside testing laboratory.
    • Clinical Testing (Human Factor testing): The sample size is not specified in the provided summary.
    • Data Provenance: The document does not explicitly state the country of origin or whether the data was retrospective or prospective for the clinical (human factors) study, or the non-clinical testing. However, given it's for FDA submission, it's generally expected to be prospective for human factors and laboratory-controlled for non-clinical.

    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 summary. For a blood glucose meter, the "ground truth" for accuracy assessments is typically established by comparative measurements against a well-established laboratory reference method (e.g., YSI analyzer), rather than expert consensus on individual readings.
    • For the human factors testing, the definition of ground truth (e.g., successful task completion) would be based on predefined criteria, not expert assessment of individual readings.

    4. Adjudication method for the test set:

    • Not applicable in the context of this summary. Blood glucose meter performance is determined by quantitative comparison to reference methods, not subjective interpretation requiring adjudication among experts. For human factors, task completion or error rates would be measured against predefined success/failure criteria.

    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 is not applicable to a blood glucose monitoring system like the MyGlucoHealth Wireless System. MRMC studies are typically used for imaging diagnostics where human readers interpret medical images, often with AI assistance. This device is a standalone in vitro diagnostic (IVD) device for quantitative measurement.

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

    • Yes, the core performance evaluation of the MyGlucoHealth Wireless System is a standalone evaluation. The device itself measures glucose concentration and displays a numerical result. The "algorithm" here refers to the electrochemical principles and calibration within the test strip and meter to convert a biochemical reaction into a glucose reading. The system's accuracy is assessed directly against a reference method.

    7. The type of ground truth used:

    • For glucose measurement accuracy: Typically, a laboratory reference method (e.g., YSI glucose analyzer) is used as the ground truth. This is implied by the adherence to ISO 15197:2003, which requires comparison to a traceable reference measurement procedure.
    • For cleaning/disinfection efficacy: Specific laboratory standards for viral inactivation are used.
    • For human factors: Predefined criteria for task completion and user comprehension are typically used to establish ground truth.

    8. The sample size for the training set:

    • This information is not explicitly provided. For a traditional electrochemical blood glucose meter, there isn't a "training set" in the machine learning sense. The device's calibration and algorithm are developed through engineering and chemistry principles, using a variety of samples during development and manufacturing to establish its operating characteristics.

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

    • Not applicable in the machine learning context. For this type of device, ground truth for calibration and development would be established through precise laboratory measurements using reference methods and well-characterized samples over a range of glucose concentrations, hematocrit levels, and interfering substances.
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