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510(k) Data Aggregation

    K Number
    K231895
    Manufacturer
    Date Cleared
    2023-12-04

    (159 days)

    Product Code
    Regulation Number
    868.5330
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Maxtec MaxBlend 2+p is intended to provide a continuous air/oxygen gas mixture and to continuously monitor the concentration of oxygen and pressure being delivered to infant, pediatric, and adult patients. It is a restricted medical device intended for use by qualified, trained personnel, under the direction of a physician, in professional healthcare settings, i.e., hospital, subacute, and nursing-care facilities where the delivery and monitoring of air/oxygen mixtures is required. This is not intended as a life-supporting device or life sustaining device.

    Device Description

    The Maxtec MaxBlend 2+p is an oxygen delivery device which incorporates an air/oxygen blender, battery powered oxygen and pressure monitor, and an adjustable flowmeter, all in a single assembly. The integral air/oxygen blender provides precise mixing of medical grade air and oxygen. The flowmeter provides control of the flow rate delivered. The oxygen monitor measures the oxygen concentration from the blender's gas flow, displays these measured concentrations, and provides user selectable high and low oxygen alarms. It also allows the user to monitor pressure simultaneously using adjustable high and low alarm limits.

    AI/ML Overview

    The document describes the Maxtec MaxBlend 2+p, a medical device combining an air/oxygen blender, oxygen monitor, pressure monitor, and flowmeter. The 510(k) submission seeks substantial equivalence to existing predicate devices (Maxtec MaxBlend 2 - K161718 and MaxO2ME+p - K221734), particularly highlighting the addition of a pressure monitoring feature.

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

    1. Table of Acceptance Criteria and Reported Device Performance

    The acceptance criteria for several performance aspects are implicitly derived from the comparative tables (Table 1 and 2) where the subject device's specifications are listed and compared to the predicate devices. The "Reported Device Performance" for the subject device is simply its stated characteristics, which are claimed to meet or be identical to the predicate device specifications, thereby meeting the acceptance criteria based on substantial equivalence.

    Feature / Performance AspectAcceptance Criteria (from predicate devices)Reported Device Performance (Maxtec MaxBlend 2+p)
    Air/Oxygen Mixer Features
    Gas Supply TypeAir / OxygenAir / Oxygen
    Pressure30 to 75 psi30 to 75 psi
    Mixed gas stability± 1% oxygen± 1% oxygen
    Flow range of BlendersLow flow model – 0-30 Lpm; High flow model – 0-100 LpmLow flow model – 0-30 Lpm; High flow model – 0-70 Lpm (Primary Predicate) / 0-100 Lpm (Secondary Predicate)
    Pressure supply differential alarmAir / oxygen pressure < 20 psi an alarm soundsAir / oxygen pressure < 20 psi an alarm sounds
    Pressure Drop< 6 psi @ 50 psi< 6 psi @ 50 psi
    Bleed flow3-13 Lpm at 50 psi depending upon model3-13 Lpm at 50 psi depending upon model
    Oxygen Monitor Features
    Oxygen measurement range0-100%0-100%
    Total Accuracy±3% Actual oxygen level over full operating temperature range±3% Actual oxygen level over full operating temperature range
    Response Time90% of final value in approx. 15 seconds at 23°C90% of final value in approx. 15 seconds at 23°C
    Warm-up TimeNone requiredNone required
    High alarm range16 – 100%16 – 100%
    Operating Temperature15°C – 40°C (59°F – 104°F)15°C – 40°C (59°F – 104°F)
    Storage Temperature-15°C – 50°C (5°F – 122°F)-15°C – 50°C (5°F – 122°F)
    Humidity0-95% (non-condensing)0-95% (non-condensing)
    Expected use-life of sensor1,500,000 O2% hours (approx. 2 years)1,500,000 O2% hours (approx. 2 years)
    Flowmeter Features
    Accuracy± 10% of indicated value when inlet pressure is 50 psi± 10% of indicated value when inlet pressure is 50 psi
    Flow meter ranges0 – 3 Lpm, 0 – 15 Lpm, 0 – 30 Lpm, 0 – 70 Lpm (some predicates mention 0-100Lpm as well)0 – 3 Lpm, 0 – 15 Lpm, 0 – 30 Lpm, 0 – 70 Lpm
    Pressure Monitor Features(Based on Secondary Predicate MaxO2 ME+p K221734)(Maxtec MaxBlend 2+p)
    TechnologyMicroprocessor controlled deviceMicroprocessor controlled device
    Pressure sensor typeSolid-state pressure transducerSolid-state pressure transducer
    Pressure Measurement Range-15 to +60 cmH2O-15 to +60 cmH2O
    Pressure Resolution1 cmH2O1 cmH2O
    Display resolution0.5 cm H2O0.5 cm H2O
    Total Accuracy± 1 cmH2O± 1 cmH2O
    Low alarm range1 - 30 cmH2O1 - 30 cmH2O
    High alarm range1 - 60 cmH2O1 - 60 cmH2O
    Alarm delay3 seconds (pressure only)3 seconds (pressure only)
    Zero calibrationYesYes
    Operating Temperature15°C - 40°C, 0-95% RH15°C - 40°C, 0-95% RH
    Storage Temperature-15°C - 50°C @ 95% RH-15°C - 50°C @ 95% RH
    Atmospheric Pressure800 – 1013 mBars800 – 1013 mBars
    Power requirements4x - AA alkaline batteries4x - AA alkaline batteries
    Battery Life5000 hours5000 hours

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

    The document explicitly states:

    • Non-clinical Testing: "We performed a number of tests to demonstrate that the proposed device performed as intended." It then lists several international standards that the device met. It does not specify a sample size for the test set or the data provenance (e.g., country of origin, retrospective/prospective). The testing appears to be primarily related to engineering and performance validation against standards rather than clinical data.
    • Clinical Testing: "No human clinical testing was performed."

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

    Since "No human clinical testing was performed," and the primary testing involved adherence to international standards and non-clinical performance, there is no mention of experts establishing ground truth for a clinical test set. The "ground truth" for the non-clinical testing would be the defined requirements and specifications within the cited standards.

    4. Adjudication Method for the Test Set

    Not applicable, as no human clinical test set is mentioned, and the testing focuses on compliance with technical standards.

    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

    Not applicable. This device is a medical gas mixer and monitor, not an AI-assisted diagnostic or interpretation tool that would involve human readers or image analysis.

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

    The device is a hardware product with integrated monitoring capabilities. Its "standalone" performance is measured through its adherence to the technical specifications and international standards listed under "Non-clinical Testing." The document states: "In all cases the subject device met the standard requirements." This implicitly confirms standalone performance against established benchmarks.

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

    For the performance specifications (e.g., oxygen accuracy, pressure accuracy, flow rates), the ground truth is based on metrological standards and calibrated equipment used in accordance with the listed international standards (e.g., ISO 80601-2-55, ISO 11195). For biocompatibility, the ground truth is established by adherence to ISO 10993 and ISO 18562 standards.

    8. The Sample Size for the Training Set

    Not applicable. This is a hardware medical device with integrated sensors and controls, not a machine learning or AI algorithm that requires a "training set."

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

    Not applicable, as there is no training set for an AI algorithm.

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